Established TCP socket on 43824
<===[JENKINS REMOTING CAPACITY]===> channel started
Executing Maven: -B -f /var/lib/jenkins/jobs/tmp index processor job/workspace/pom.xml clean test
[INFO] Scanning for projects...
[WARNING]
[WARNING] Some problems were encountered while building the effective model for org.dataone:d1_cn_index_processor:jar:2.3.0
[WARNING] 'build.plugins.plugin.version' for com.mycila.maven-license-plugin:maven-license-plugin is missing. @ line 304, column 15
[WARNING] 'build.plugins.plugin.version' for org.apache.maven.plugins:maven-compiler-plugin is missing. @ line 296, column 15
[WARNING] 'build.plugins.plugin.version' for org.codehaus.mojo:buildnumber-maven-plugin is missing. @ line 311, column 21
[WARNING]
[WARNING] It is highly recommended to fix these problems because they threaten the stability of your build.
[WARNING]
[WARNING] For this reason, future Maven versions might no longer support building such malformed projects.
[WARNING]
[INFO]
[INFO] ------------------------------------------------------------------------
[INFO] Building d1_cn_index_processor 2.3.0
[INFO] ------------------------------------------------------------------------
[INFO]
[INFO] --- maven-clean-plugin:2.3:clean (default-clean) @ d1_cn_index_processor ---
[INFO]
[INFO] --- buildnumber-maven-plugin:1.4:create (default) @ d1_cn_index_processor ---
[INFO] Executing: /bin/sh -c cd '/var/lib/jenkins/jobs/tmp index processor job/workspace' && 'svn' '--non-interactive' 'info'
[INFO] Working directory: /var/lib/jenkins/jobs/tmp index processor job/workspace
[INFO] Storing buildNumber: 19035 at timestamp: 1511301698422
[INFO] Executing: /bin/sh -c cd '/var/lib/jenkins/jobs/tmp index processor job/workspace' && 'svn' '--non-interactive' 'info'
[INFO] Working directory: /var/lib/jenkins/jobs/tmp index processor job/workspace
[INFO] Storing buildScmBranch: tags/D1_CN_INDEX_PROCESSOR_v2.3.0
[INFO]
[INFO] --- maven-resources-plugin:2.3:resources (default-resources) @ d1_cn_index_processor ---
[INFO] Using 'UTF-8' encoding to copy filtered resources.
[INFO] Copying 1 resource
[INFO] Copying 43 resources
[INFO]
[INFO] --- maven-compiler-plugin:2.0.2:compile (default-compile) @ d1_cn_index_processor ---
[INFO] Compiling 80 source files to /var/lib/jenkins/jobs/tmp index processor job/workspace/target/classes
[INFO]
[INFO] --- maven-resources-plugin:2.3:testResources (default-testResources) @ d1_cn_index_processor ---
[INFO] Using 'UTF-8' encoding to copy filtered resources.
[INFO] Copying 282 resources
[INFO]
[INFO] --- maven-compiler-plugin:2.0.2:testCompile (default-testCompile) @ d1_cn_index_processor ---
[INFO] Compiling 31 source files to /var/lib/jenkins/jobs/tmp index processor job/workspace/target/test-classes
[INFO]
[INFO] --- maven-surefire-plugin:2.16:test (default-test) @ d1_cn_index_processor ---
[INFO] Surefire report directory: /var/lib/jenkins/jobs/tmp index processor job/workspace/target/surefire-reports
-------------------------------------------------------
T E S T S
-------------------------------------------------------
Running org.dataone.cn.indexer.XmlDocumentUtilityTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.261 sec - in org.dataone.cn.indexer.XmlDocumentUtilityTest
Running org.dataone.cn.indexer.solrhttp.SolrElementFieldTest
bath gom1k.nc : the GoM bathymetry derived from the GMRT and NGDC databases (recommended); NetCDF-3 classic format (total size 760 MB). topo gom1k.nc : the GoM topography (land and water) derived from the GMRT and NGDC databases (recommended); NetCDF-3 classic format (total size 127 MB). bath gom1k GEBCO.nc : the GoM bathymetry derived from the GEBCO and NGDC databases; NetCDF-3 classic format (total size 760 MB). topo gom1k GEBCO.nc : the GoM topography (land and water) derived from the GEBCO and NGDC databases; NetCDF-3 classic format (total size 127 MB). bath guide.pdf ๔> The manual of the developed GoM 0:01 o bathymetry Various renders of topography and bathymetry|||||
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.044 sec - in org.dataone.cn.indexer.solrhttp.SolrElementFieldTest
Running org.dataone.cn.indexer.convert.MemberNodeServiceRegistrationTypesParserTest
[ERROR] 2017-11-21 22:01:49,562 (org.dataone.configuration.Settings:getConfiguration:109) Problem loading configuration: file:/var/lib/jenkins/jobs/tmp%20index%20processor%20job/workspace/target/classes/org/dataone/configuration/config.xml
org.apache.commons.configuration.ConfigurationException: org.apache.commons.configuration.ConfigurationRuntimeException: org.apache.commons.configuration.ConfigurationException: Cannot locate configuration source file:/etc/dataone/node.properties
at org.apache.commons.configuration.DefaultConfigurationBuilder.createConfigurationAt(DefaultConfigurationBuilder.java:752)
at org.apache.commons.configuration.DefaultConfigurationBuilder.initCombinedConfiguration(DefaultConfigurationBuilder.java:628)
at org.apache.commons.configuration.DefaultConfigurationBuilder.getConfiguration(DefaultConfigurationBuilder.java:560)
at org.apache.commons.configuration.DefaultConfigurationBuilder.getConfiguration(DefaultConfigurationBuilder.java:527)
at org.dataone.configuration.Settings.getConfiguration(Settings.java:106)
at org.dataone.cn.index.util.PerformanceLogger.<init>(PerformanceLogger.java:15)
at org.dataone.cn.index.util.PerformanceLogger.<clinit>(PerformanceLogger.java:9)
at org.dataone.cn.indexer.SolrIndexService.<init>(SolrIndexService.java:86)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at org.springframework.beans.BeanUtils.instantiateClass(BeanUtils.java:147)
at org.springframework.beans.factory.support.SimpleInstantiationStrategy.instantiate(SimpleInstantiationStrategy.java:87)
at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.instantiateBean(AbstractAutowireCapableBeanFactory.java:990)
at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.createBeanInstance(AbstractAutowireCapableBeanFactory.java:943)
at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.doCreateBean(AbstractAutowireCapableBeanFactory.java:485)
at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.createBean(AbstractAutowireCapableBeanFactory.java:456)
at org.springframework.beans.factory.support.AbstractBeanFactory$1.getObject(AbstractBeanFactory.java:294)
at org.springframework.beans.factory.support.DefaultSingletonBeanRegistry.getSingleton(DefaultSingletonBeanRegistry.java:225)
at org.springframework.beans.factory.support.AbstractBeanFactory.doGetBean(AbstractBeanFactory.java:291)
at org.springframework.beans.factory.support.AbstractBeanFactory.getBean(AbstractBeanFactory.java:193)
at org.springframework.beans.factory.support.DefaultListableBeanFactory.preInstantiateSingletons(DefaultListableBeanFactory.java:607)
at org.springframework.context.support.AbstractApplicationContext.finishBeanFactoryInitialization(AbstractApplicationContext.java:925)
at org.springframework.context.support.AbstractApplicationContext.refresh(AbstractApplicationContext.java:472)
at org.springframework.test.context.support.AbstractGenericContextLoader.loadContext(AbstractGenericContextLoader.java:103)
at org.springframework.test.context.support.AbstractGenericContextLoader.loadContext(AbstractGenericContextLoader.java:1)
at org.springframework.test.context.support.DelegatingSmartContextLoader.loadContext(DelegatingSmartContextLoader.java:228)
at org.springframework.test.context.TestContext.loadApplicationContext(TestContext.java:124)
at org.springframework.test.context.TestContext.getApplicationContext(TestContext.java:148)
at org.springframework.test.context.support.DependencyInjectionTestExecutionListener.injectDependencies(DependencyInjectionTestExecutionListener.java:109)
at org.springframework.test.context.support.DependencyInjectionTestExecutionListener.prepareTestInstance(DependencyInjectionTestExecutionListener.java:75)
at org.springframework.test.context.TestContextManager.prepareTestInstance(TestContextManager.java:321)
at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.createTest(SpringJUnit4ClassRunner.java:211)
at org.springframework.test.context.junit4.SpringJUnit4ClassRunner$1.runReflectiveCall(SpringJUnit4ClassRunner.java:288)
at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:15)
at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.methodBlock(SpringJUnit4ClassRunner.java:290)
at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.runChild(SpringJUnit4ClassRunner.java:231)
at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:47)
at org.junit.runners.ParentRunner$3.run(ParentRunner.java:231)
at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:60)
at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:229)
at org.junit.runners.ParentRunner.access$000(ParentRunner.java:50)
at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:222)
at org.springframework.test.context.junit4.statements.RunBeforeTestClassCallbacks.evaluate(RunBeforeTestClassCallbacks.java:61)
at org.springframework.test.context.junit4.statements.RunAfterTestClassCallbacks.evaluate(RunAfterTestClassCallbacks.java:71)
at org.junit.runners.ParentRunner.run(ParentRunner.java:300)
at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.run(SpringJUnit4ClassRunner.java:174)
at org.apache.maven.surefire.junit4.JUnit4Provider.execute(JUnit4Provider.java:264)
at org.apache.maven.surefire.junit4.JUnit4Provider.executeTestSet(JUnit4Provider.java:153)
at org.apache.maven.surefire.junit4.JUnit4Provider.invoke(JUnit4Provider.java:124)
at org.apache.maven.surefire.booter.ForkedBooter.invokeProviderInSameClassLoader(ForkedBooter.java:200)
at org.apache.maven.surefire.booter.ForkedBooter.runSuitesInProcess(ForkedBooter.java:153)
at org.apache.maven.surefire.booter.ForkedBooter.main(ForkedBooter.java:103)
Caused by: org.apache.commons.configuration.ConfigurationRuntimeException: org.apache.commons.configuration.ConfigurationException: Cannot locate configuration source file:/etc/dataone/node.properties
at org.apache.commons.configuration.beanutils.BeanHelper.createBean(BeanHelper.java:252)
at org.apache.commons.configuration.beanutils.BeanHelper.createBean(BeanHelper.java:269)
at org.apache.commons.configuration.beanutils.BeanHelper.createBean(BeanHelper.java:283)
at org.apache.commons.configuration.DefaultConfigurationBuilder.createConfigurationAt(DefaultConfigurationBuilder.java:747)
... 53 more
Caused by: org.apache.commons.configuration.ConfigurationException: Cannot locate configuration source file:/etc/dataone/node.properties
at org.apache.commons.configuration.AbstractFileConfiguration.load(AbstractFileConfiguration.java:217)
at org.apache.commons.configuration.AbstractFileConfiguration.load(AbstractFileConfiguration.java:197)
at org.apache.commons.configuration.DefaultConfigurationBuilder$FileConfigurationProvider.getConfiguration(DefaultConfigurationBuilder.java:1306)
at org.apache.commons.configuration.DefaultConfigurationBuilder$ConfigurationBeanFactory.createBean(DefaultConfigurationBuilder.java:1208)
at org.apache.commons.configuration.beanutils.BeanHelper.createBean(BeanHelper.java:247)
... 56 more
[ERROR] 2017-11-21 22:01:49,584 (org.dataone.configuration.Settings:getConfiguration:109) Problem loading configuration: jar:file:/var/lib/jenkins/.m2/repository/org/dataone/d1_cn_index_generator/2.3.0/d1_cn_index_generator-2.3.0.jar!/org/dataone/configuration/config.xml
org.apache.commons.configuration.ConfigurationException: org.apache.commons.configuration.ConfigurationRuntimeException: org.apache.commons.configuration.ConfigurationException: Cannot locate configuration source file:/etc/dataone/index/d1client.properties
at org.apache.commons.configuration.DefaultConfigurationBuilder.createConfigurationAt(DefaultConfigurationBuilder.java:752)
at org.apache.commons.configuration.DefaultConfigurationBuilder.initCombinedConfiguration(DefaultConfigurationBuilder.java:628)
at org.apache.commons.configuration.DefaultConfigurationBuilder.getConfiguration(DefaultConfigurationBuilder.java:560)
at org.apache.commons.configuration.DefaultConfigurationBuilder.getConfiguration(DefaultConfigurationBuilder.java:527)
at org.dataone.configuration.Settings.getConfiguration(Settings.java:106)
at org.dataone.cn.index.util.PerformanceLogger.<init>(PerformanceLogger.java:15)
at org.dataone.cn.index.util.PerformanceLogger.<clinit>(PerformanceLogger.java:9)
at org.dataone.cn.indexer.SolrIndexService.<init>(SolrIndexService.java:86)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at org.springframework.beans.BeanUtils.instantiateClass(BeanUtils.java:147)
at org.springframework.beans.factory.support.SimpleInstantiationStrategy.instantiate(SimpleInstantiationStrategy.java:87)
at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.instantiateBean(AbstractAutowireCapableBeanFactory.java:990)
at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.createBeanInstance(AbstractAutowireCapableBeanFactory.java:943)
at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.doCreateBean(AbstractAutowireCapableBeanFactory.java:485)
at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.createBean(AbstractAutowireCapableBeanFactory.java:456)
at org.springframework.beans.factory.support.AbstractBeanFactory$1.getObject(AbstractBeanFactory.java:294)
at org.springframework.beans.factory.support.DefaultSingletonBeanRegistry.getSingleton(DefaultSingletonBeanRegistry.java:225)
at org.springframework.beans.factory.support.AbstractBeanFactory.doGetBean(AbstractBeanFactory.java:291)
at org.springframework.beans.factory.support.AbstractBeanFactory.getBean(AbstractBeanFactory.java:193)
at org.springframework.beans.factory.support.DefaultListableBeanFactory.preInstantiateSingletons(DefaultListableBeanFactory.java:607)
at org.springframework.context.support.AbstractApplicationContext.finishBeanFactoryInitialization(AbstractApplicationContext.java:925)
at org.springframework.context.support.AbstractApplicationContext.refresh(AbstractApplicationContext.java:472)
at org.springframework.test.context.support.AbstractGenericContextLoader.loadContext(AbstractGenericContextLoader.java:103)
at org.springframework.test.context.support.AbstractGenericContextLoader.loadContext(AbstractGenericContextLoader.java:1)
at org.springframework.test.context.support.DelegatingSmartContextLoader.loadContext(DelegatingSmartContextLoader.java:228)
at org.springframework.test.context.TestContext.loadApplicationContext(TestContext.java:124)
at org.springframework.test.context.TestContext.getApplicationContext(TestContext.java:148)
at org.springframework.test.context.support.DependencyInjectionTestExecutionListener.injectDependencies(DependencyInjectionTestExecutionListener.java:109)
at org.springframework.test.context.support.DependencyInjectionTestExecutionListener.prepareTestInstance(DependencyInjectionTestExecutionListener.java:75)
at org.springframework.test.context.TestContextManager.prepareTestInstance(TestContextManager.java:321)
at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.createTest(SpringJUnit4ClassRunner.java:211)
at org.springframework.test.context.junit4.SpringJUnit4ClassRunner$1.runReflectiveCall(SpringJUnit4ClassRunner.java:288)
at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:15)
at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.methodBlock(SpringJUnit4ClassRunner.java:290)
at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.runChild(SpringJUnit4ClassRunner.java:231)
at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:47)
at org.junit.runners.ParentRunner$3.run(ParentRunner.java:231)
at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:60)
at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:229)
at org.junit.runners.ParentRunner.access$000(ParentRunner.java:50)
at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:222)
at org.springframework.test.context.junit4.statements.RunBeforeTestClassCallbacks.evaluate(RunBeforeTestClassCallbacks.java:61)
at org.springframework.test.context.junit4.statements.RunAfterTestClassCallbacks.evaluate(RunAfterTestClassCallbacks.java:71)
at org.junit.runners.ParentRunner.run(ParentRunner.java:300)
at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.run(SpringJUnit4ClassRunner.java:174)
at org.apache.maven.surefire.junit4.JUnit4Provider.execute(JUnit4Provider.java:264)
at org.apache.maven.surefire.junit4.JUnit4Provider.executeTestSet(JUnit4Provider.java:153)
at org.apache.maven.surefire.junit4.JUnit4Provider.invoke(JUnit4Provider.java:124)
at org.apache.maven.surefire.booter.ForkedBooter.invokeProviderInSameClassLoader(ForkedBooter.java:200)
at org.apache.maven.surefire.booter.ForkedBooter.runSuitesInProcess(ForkedBooter.java:153)
at org.apache.maven.surefire.booter.ForkedBooter.main(ForkedBooter.java:103)
Caused by: org.apache.commons.configuration.ConfigurationRuntimeException: org.apache.commons.configuration.ConfigurationException: Cannot locate configuration source file:/etc/dataone/index/d1client.properties
at org.apache.commons.configuration.beanutils.BeanHelper.createBean(BeanHelper.java:252)
at org.apache.commons.configuration.beanutils.BeanHelper.createBean(BeanHelper.java:269)
at org.apache.commons.configuration.beanutils.BeanHelper.createBean(BeanHelper.java:283)
at org.apache.commons.configuration.DefaultConfigurationBuilder.createConfigurationAt(DefaultConfigurationBuilder.java:747)
... 53 more
Caused by: org.apache.commons.configuration.ConfigurationException: Cannot locate configuration source file:/etc/dataone/index/d1client.properties
at org.apache.commons.configuration.AbstractFileConfiguration.load(AbstractFileConfiguration.java:217)
at org.apache.commons.configuration.AbstractFileConfiguration.load(AbstractFileConfiguration.java:197)
at org.apache.commons.configuration.DefaultConfigurationBuilder$FileConfigurationProvider.getConfiguration(DefaultConfigurationBuilder.java:1306)
at org.apache.commons.configuration.DefaultConfigurationBuilder$ConfigurationBeanFactory.createBean(DefaultConfigurationBuilder.java:1208)
at org.apache.commons.configuration.beanutils.BeanHelper.createBean(BeanHelper.java:247)
... 56 more
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 5.592 sec - in org.dataone.cn.indexer.convert.MemberNodeServiceRegistrationTypesParserTest
Running org.dataone.cn.indexer.convert.TemporalPeriodParsingUtilityTest
[ERROR] 2017-11-21 22:01:51,652 (org.dataone.cn.indexer.parser.utility.TemporalPeriodParsingUtility:parseDateTime:200)
[ERROR] 2017-11-21 22:01:51,652 (org.dataone.cn.indexer.parser.utility.TemporalPeriodParsingUtility:formatDate:178) Date string could not be parsed: 2000
[ERROR] 2017-11-21 22:01:51,720 (org.dataone.cn.indexer.parser.utility.TemporalPeriodParsingUtility:parseDateTime:200)
[ERROR] 2017-11-21 22:01:51,721 (org.dataone.cn.indexer.parser.utility.TemporalPeriodParsingUtility:formatDate:178) Date string could not be parsed: null
[ERROR] 2017-11-21 22:01:51,722 (org.dataone.cn.indexer.parser.utility.TemporalPeriodParsingUtility:parseDateTime:200)
[ERROR] 2017-11-21 22:01:51,723 (org.dataone.cn.indexer.parser.utility.TemporalPeriodParsingUtility:formatDate:178) Date string could not be parsed: 2005
[ERROR] 2017-11-21 22:01:51,727 (org.dataone.cn.indexer.parser.utility.TemporalPeriodParsingUtility:parseDateTime:200)
[ERROR] 2017-11-21 22:01:51,728 (org.dataone.cn.indexer.parser.utility.TemporalPeriodParsingUtility:formatDate:178) Date string could not be parsed: null
Tests run: 3, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.079 sec - in org.dataone.cn.indexer.convert.TemporalPeriodParsingUtilityTest
Running org.dataone.cn.indexer.convert.MemberNodeServiceRegistrationTypeConverterTest
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.041 sec - in org.dataone.cn.indexer.convert.MemberNodeServiceRegistrationTypeConverterTest
Running org.dataone.cn.indexer.convert.MemberNodeServiceRegistrationTypeDocumentServiceTest
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.045 sec - in org.dataone.cn.indexer.convert.MemberNodeServiceRegistrationTypeDocumentServiceTest
Running org.dataone.cn.indexer.resourcemap.OREResourceMapTest
Tests run: 6, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.807 sec - in org.dataone.cn.indexer.resourcemap.OREResourceMapTest
Running org.dataone.cn.indexer.resourcemap.ProvRdfXmlProcessorTest
Creating dataDir: /tmp/org.dataone.cn.indexer.resourcemap.ProvRdfXmlProcessorTest_A2D0BE5B5E31C772-001/init-core-data-001
ERROR IN SolrLogFormatter! original message:Configuring Hazelcast from 'org/dataone/configuration/hazelcast.xml'.
Exception: java.lang.NullPointerException
at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
at java.util.HashMap.hash(HashMap.java:338)
at java.util.HashMap.get(HashMap.java:556)
at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
at java.util.logging.Logger.log(Logger.java:738)
at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:46)
at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:38)
at com.hazelcast.config.ClasspathXmlConfig.<init>(ClasspathXmlConfig.java:35)
at com.hazelcast.config.ClasspathXmlConfig.<init>(ClasspathXmlConfig.java:30)
at org.dataone.cn.index.HazelcastClientFactoryTest.startHazelcast(HazelcastClientFactoryTest.java:30)
at org.dataone.cn.index.HazelcastClientFactoryTest.setUp(HazelcastClientFactoryTest.java:54)
at org.dataone.cn.indexer.resourcemap.ProvRdfXmlProcessorTest.init(ProvRdfXmlProcessorTest.java:144)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at com.carrotsearch.randomizedtesting.RandomizedRunner.invoke(RandomizedRunner.java:1627)
at com.carrotsearch.randomizedtesting.RandomizedRunner$4.evaluate(RandomizedRunner.java:776)
at com.carrotsearch.randomizedtesting.RandomizedRunner$5.evaluate(RandomizedRunner.java:792)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.SystemPropertiesRestoreRule$1.evaluate(SystemPropertiesRestoreRule.java:57)
at org.apache.lucene.util.AbstractBeforeAfterRule$1.evaluate(AbstractBeforeAfterRule.java:46)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at org.apache.lucene.util.TestRuleStoreClassName$1.evaluate(TestRuleStoreClassName.java:42)
at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at org.apache.lucene.util.TestRuleAssertionsRequired$1.evaluate(TestRuleAssertionsRequired.java:54)
at org.apache.lucene.util.TestRuleMarkFailure$1.evaluate(TestRuleMarkFailure.java:48)
at org.apache.lucene.util.TestRuleIgnoreAfterMaxFailures$1.evaluate(TestRuleIgnoreAfterMaxFailures.java:65)
at org.apache.lucene.util.TestRuleIgnoreTestSuites$1.evaluate(TestRuleIgnoreTestSuites.java:55)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.ThreadLeakControl$StatementRunner.run(ThreadLeakControl.java:365)
at java.lang.Thread.run(Thread.java:745)
ERROR IN SolrLogFormatter! original message:Interfaces is disabled, trying to pick one address from TCP-IP config addresses: [127.0.0.1]
Exception: java.lang.NullPointerException
at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
at java.util.HashMap.hash(HashMap.java:338)
at java.util.HashMap.get(HashMap.java:556)
at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
at java.util.logging.Logger.log(Logger.java:738)
at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:46)
at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:38)
at com.hazelcast.impl.AddressPicker.log(AddressPicker.java:330)
at com.hazelcast.impl.AddressPicker.getInterfaces(AddressPicker.java:208)
at com.hazelcast.impl.AddressPicker.pickAddress(AddressPicker.java:131)
at com.hazelcast.impl.AddressPicker.pickAddress(AddressPicker.java:51)
at com.hazelcast.impl.Node.<init>(Node.java:144)
at com.hazelcast.impl.FactoryImpl.<init>(FactoryImpl.java:386)
at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:133)
at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:119)
at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:104)
at com.hazelcast.core.Hazelcast.newHazelcastInstance(Hazelcast.java:507)
at org.dataone.cn.index.HazelcastClientFactoryTest.startHazelcast(HazelcastClientFactoryTest.java:38)
at org.dataone.cn.index.HazelcastClientFactoryTest.setUp(HazelcastClientFactoryTest.java:54)
at org.dataone.cn.indexer.resourcemap.ProvRdfXmlProcessorTest.init(ProvRdfXmlProcessorTest.java:144)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at com.carrotsearch.randomizedtesting.RandomizedRunner.invoke(RandomizedRunner.java:1627)
at com.carrotsearch.randomizedtesting.RandomizedRunner$4.evaluate(RandomizedRunner.java:776)
at com.carrotsearch.randomizedtesting.RandomizedRunner$5.evaluate(RandomizedRunner.java:792)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.SystemPropertiesRestoreRule$1.evaluate(SystemPropertiesRestoreRule.java:57)
at org.apache.lucene.util.AbstractBeforeAfterRule$1.evaluate(AbstractBeforeAfterRule.java:46)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at org.apache.lucene.util.TestRuleStoreClassName$1.evaluate(TestRuleStoreClassName.java:42)
at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at org.apache.lucene.util.TestRuleAssertionsRequired$1.evaluate(TestRuleAssertionsRequired.java:54)
at org.apache.lucene.util.TestRuleMarkFailure$1.evaluate(TestRuleMarkFailure.java:48)
at org.apache.lucene.util.TestRuleIgnoreAfterMaxFailures$1.evaluate(TestRuleIgnoreAfterMaxFailures.java:65)
at org.apache.lucene.util.TestRuleIgnoreTestSuites$1.evaluate(TestRuleIgnoreTestSuites.java:55)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.ThreadLeakControl$StatementRunner.run(ThreadLeakControl.java:365)
at java.lang.Thread.run(Thread.java:745)
ERROR IN SolrLogFormatter! original message:Picking loopback address [127.0.0.1]; setting 'java.net.preferIPv4Stack' to true.
Exception: java.lang.NullPointerException
at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
at java.util.HashMap.hash(HashMap.java:338)
at java.util.HashMap.get(HashMap.java:556)
at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
at java.util.logging.Logger.log(Logger.java:738)
at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:46)
at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:38)
at com.hazelcast.impl.AddressPicker.log(AddressPicker.java:330)
at com.hazelcast.impl.AddressPicker.pickLoopbackAddress(AddressPicker.java:262)
at com.hazelcast.impl.AddressPicker.pickAddress(AddressPicker.java:134)
at com.hazelcast.impl.AddressPicker.pickAddress(AddressPicker.java:51)
at com.hazelcast.impl.Node.<init>(Node.java:144)
at com.hazelcast.impl.FactoryImpl.<init>(FactoryImpl.java:386)
at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:133)
at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:119)
at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:104)
at com.hazelcast.core.Hazelcast.newHazelcastInstance(Hazelcast.java:507)
at org.dataone.cn.index.HazelcastClientFactoryTest.startHazelcast(HazelcastClientFactoryTest.java:38)
at org.dataone.cn.index.HazelcastClientFactoryTest.setUp(HazelcastClientFactoryTest.java:54)
at org.dataone.cn.indexer.resourcemap.ProvRdfXmlProcessorTest.init(ProvRdfXmlProcessorTest.java:144)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at com.carrotsearch.randomizedtesting.RandomizedRunner.invoke(RandomizedRunner.java:1627)
at com.carrotsearch.randomizedtesting.RandomizedRunner$4.evaluate(RandomizedRunner.java:776)
at com.carrotsearch.randomizedtesting.RandomizedRunner$5.evaluate(RandomizedRunner.java:792)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.SystemPropertiesRestoreRule$1.evaluate(SystemPropertiesRestoreRule.java:57)
at org.apache.lucene.util.AbstractBeforeAfterRule$1.evaluate(AbstractBeforeAfterRule.java:46)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at org.apache.lucene.util.TestRuleStoreClassName$1.evaluate(TestRuleStoreClassName.java:42)
at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at org.apache.lucene.util.TestRuleAssertionsRequired$1.evaluate(TestRuleAssertionsRequired.java:54)
at org.apache.lucene.util.TestRuleMarkFailure$1.evaluate(TestRuleMarkFailure.java:48)
at org.apache.lucene.util.TestRuleIgnoreAfterMaxFailures$1.evaluate(TestRuleIgnoreAfterMaxFailures.java:65)
at org.apache.lucene.util.TestRuleIgnoreTestSuites$1.evaluate(TestRuleIgnoreTestSuites.java:55)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.ThreadLeakControl$StatementRunner.run(ThreadLeakControl.java:365)
at java.lang.Thread.run(Thread.java:745)
ERROR IN SolrLogFormatter! original message:Picked Address[127.0.0.1]:5742, using socket ServerSocket[addr=/0:0:0:0:0:0:0:0,localport=5742], bind any local is true
Exception: java.lang.NullPointerException
at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
at java.util.HashMap.hash(HashMap.java:338)
at java.util.HashMap.get(HashMap.java:556)
at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
at java.util.logging.Logger.log(Logger.java:738)
at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:46)
at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:38)
at com.hazelcast.impl.AddressPicker.log(AddressPicker.java:330)
at com.hazelcast.impl.AddressPicker.pickAddress(AddressPicker.java:105)
at com.hazelcast.impl.Node.<init>(Node.java:144)
at com.hazelcast.impl.FactoryImpl.<init>(FactoryImpl.java:386)
at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:133)
at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:119)
at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:104)
at com.hazelcast.core.Hazelcast.newHazelcastInstance(Hazelcast.java:507)
at org.dataone.cn.index.HazelcastClientFactoryTest.startHazelcast(HazelcastClientFactoryTest.java:38)
at org.dataone.cn.index.HazelcastClientFactoryTest.setUp(HazelcastClientFactoryTest.java:54)
at org.dataone.cn.indexer.resourcemap.ProvRdfXmlProcessorTest.init(ProvRdfXmlProcessorTest.java:144)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at com.carrotsearch.randomizedtesting.RandomizedRunner.invoke(RandomizedRunner.java:1627)
at com.carrotsearch.randomizedtesting.RandomizedRunner$4.evaluate(RandomizedRunner.java:776)
at com.carrotsearch.randomizedtesting.RandomizedRunner$5.evaluate(RandomizedRunner.java:792)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.SystemPropertiesRestoreRule$1.evaluate(SystemPropertiesRestoreRule.java:57)
at org.apache.lucene.util.AbstractBeforeAfterRule$1.evaluate(AbstractBeforeAfterRule.java:46)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at org.apache.lucene.util.TestRuleStoreClassName$1.evaluate(TestRuleStoreClassName.java:42)
at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at org.apache.lucene.util.TestRuleAssertionsRequired$1.evaluate(TestRuleAssertionsRequired.java:54)
at org.apache.lucene.util.TestRuleMarkFailure$1.evaluate(TestRuleMarkFailure.java:48)
at org.apache.lucene.util.TestRuleIgnoreAfterMaxFailures$1.evaluate(TestRuleIgnoreAfterMaxFailures.java:65)
at org.apache.lucene.util.TestRuleIgnoreTestSuites$1.evaluate(TestRuleIgnoreTestSuites.java:55)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.ThreadLeakControl$StatementRunner.run(ThreadLeakControl.java:365)
at java.lang.Thread.run(Thread.java:745)
ERROR IN SolrLogFormatter! original message:[127.0.0.1]:5742 [DataONEBuildTest] Hazelcast Community Edition 2.4.1 (20121213) starting at Address[127.0.0.1]:5742
Exception: java.lang.NullPointerException
at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
at java.util.HashMap.hash(HashMap.java:338)
at java.util.HashMap.get(HashMap.java:556)
at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
at java.util.logging.Logger.log(Logger.java:738)
at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:50)
at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:146)
at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:130)
at com.hazelcast.impl.base.DefaultNodeInitializer.printNodeInfo(DefaultNodeInitializer.java:50)
at com.hazelcast.impl.Node.<init>(Node.java:181)
at com.hazelcast.impl.FactoryImpl.<init>(FactoryImpl.java:386)
at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:133)
at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:119)
at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:104)
at com.hazelcast.core.Hazelcast.newHazelcastInstance(Hazelcast.java:507)
at org.dataone.cn.index.HazelcastClientFactoryTest.startHazelcast(HazelcastClientFactoryTest.java:38)
at org.dataone.cn.index.HazelcastClientFactoryTest.setUp(HazelcastClientFactoryTest.java:54)
at org.dataone.cn.indexer.resourcemap.ProvRdfXmlProcessorTest.init(ProvRdfXmlProcessorTest.java:144)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at com.carrotsearch.randomizedtesting.RandomizedRunner.invoke(RandomizedRunner.java:1627)
at com.carrotsearch.randomizedtesting.RandomizedRunner$4.evaluate(RandomizedRunner.java:776)
at com.carrotsearch.randomizedtesting.RandomizedRunner$5.evaluate(RandomizedRunner.java:792)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.SystemPropertiesRestoreRule$1.evaluate(SystemPropertiesRestoreRule.java:57)
at org.apache.lucene.util.AbstractBeforeAfterRule$1.evaluate(AbstractBeforeAfterRule.java:46)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at org.apache.lucene.util.TestRuleStoreClassName$1.evaluate(TestRuleStoreClassName.java:42)
at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at org.apache.lucene.util.TestRuleAssertionsRequired$1.evaluate(TestRuleAssertionsRequired.java:54)
at org.apache.lucene.util.TestRuleMarkFailure$1.evaluate(TestRuleMarkFailure.java:48)
at org.apache.lucene.util.TestRuleIgnoreAfterMaxFailures$1.evaluate(TestRuleIgnoreAfterMaxFailures.java:65)
at org.apache.lucene.util.TestRuleIgnoreTestSuites$1.evaluate(TestRuleIgnoreTestSuites.java:55)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.ThreadLeakControl$StatementRunner.run(ThreadLeakControl.java:365)
at java.lang.Thread.run(Thread.java:745)
ERROR IN SolrLogFormatter! original message:[127.0.0.1]:5742 [DataONEBuildTest] Copyright (C) 2008-2012 Hazelcast.com
Exception: java.lang.NullPointerException
at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
at java.util.HashMap.hash(HashMap.java:338)
at java.util.HashMap.get(HashMap.java:556)
at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
at java.util.logging.Logger.log(Logger.java:738)
at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:50)
at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:146)
at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:130)
at com.hazelcast.impl.base.DefaultNodeInitializer.printNodeInfo(DefaultNodeInitializer.java:52)
at com.hazelcast.impl.Node.<init>(Node.java:181)
at com.hazelcast.impl.FactoryImpl.<init>(FactoryImpl.java:386)
at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:133)
at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:119)
at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:104)
at com.hazelcast.core.Hazelcast.newHazelcastInstance(Hazelcast.java:507)
at org.dataone.cn.index.HazelcastClientFactoryTest.startHazelcast(HazelcastClientFactoryTest.java:38)
at org.dataone.cn.index.HazelcastClientFactoryTest.setUp(HazelcastClientFactoryTest.java:54)
at org.dataone.cn.indexer.resourcemap.ProvRdfXmlProcessorTest.init(ProvRdfXmlProcessorTest.java:144)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at com.carrotsearch.randomizedtesting.RandomizedRunner.invoke(RandomizedRunner.java:1627)
at com.carrotsearch.randomizedtesting.RandomizedRunner$4.evaluate(RandomizedRunner.java:776)
at com.carrotsearch.randomizedtesting.RandomizedRunner$5.evaluate(RandomizedRunner.java:792)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.SystemPropertiesRestoreRule$1.evaluate(SystemPropertiesRestoreRule.java:57)
at org.apache.lucene.util.AbstractBeforeAfterRule$1.evaluate(AbstractBeforeAfterRule.java:46)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at org.apache.lucene.util.TestRuleStoreClassName$1.evaluate(TestRuleStoreClassName.java:42)
at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at org.apache.lucene.util.TestRuleAssertionsRequired$1.evaluate(TestRuleAssertionsRequired.java:54)
at org.apache.lucene.util.TestRuleMarkFailure$1.evaluate(TestRuleMarkFailure.java:48)
at org.apache.lucene.util.TestRuleIgnoreAfterMaxFailures$1.evaluate(TestRuleIgnoreAfterMaxFailures.java:65)
at org.apache.lucene.util.TestRuleIgnoreTestSuites$1.evaluate(TestRuleIgnoreTestSuites.java:55)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.ThreadLeakControl$StatementRunner.run(ThreadLeakControl.java:365)
at java.lang.Thread.run(Thread.java:745)
ERROR IN SolrLogFormatter! original message:[127.0.0.1]:5742 [DataONEBuildTest] Address[127.0.0.1]:5742 is STARTING
Exception: java.lang.NullPointerException
at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
at java.util.HashMap.hash(HashMap.java:338)
at java.util.HashMap.get(HashMap.java:556)
at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
at java.util.logging.Logger.log(Logger.java:738)
at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:50)
at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:146)
at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:130)
at com.hazelcast.impl.LifecycleServiceImpl.fireLifecycleEvent(LifecycleServiceImpl.java:63)
at com.hazelcast.impl.LifecycleServiceImpl.fireLifecycleEvent(LifecycleServiceImpl.java:59)
at com.hazelcast.impl.FactoryImpl.<init>(FactoryImpl.java:387)
at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:133)
at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:119)
at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:104)
at com.hazelcast.core.Hazelcast.newHazelcastInstance(Hazelcast.java:507)
at org.dataone.cn.index.HazelcastClientFactoryTest.startHazelcast(HazelcastClientFactoryTest.java:38)
at org.dataone.cn.index.HazelcastClientFactoryTest.setUp(HazelcastClientFactoryTest.java:54)
at org.dataone.cn.indexer.resourcemap.ProvRdfXmlProcessorTest.init(ProvRdfXmlProcessorTest.java:144)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at com.carrotsearch.randomizedtesting.RandomizedRunner.invoke(RandomizedRunner.java:1627)
at com.carrotsearch.randomizedtesting.RandomizedRunner$4.evaluate(RandomizedRunner.java:776)
at com.carrotsearch.randomizedtesting.RandomizedRunner$5.evaluate(RandomizedRunner.java:792)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.SystemPropertiesRestoreRule$1.evaluate(SystemPropertiesRestoreRule.java:57)
at org.apache.lucene.util.AbstractBeforeAfterRule$1.evaluate(AbstractBeforeAfterRule.java:46)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at org.apache.lucene.util.TestRuleStoreClassName$1.evaluate(TestRuleStoreClassName.java:42)
at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at org.apache.lucene.util.TestRuleAssertionsRequired$1.evaluate(TestRuleAssertionsRequired.java:54)
at org.apache.lucene.util.TestRuleMarkFailure$1.evaluate(TestRuleMarkFailure.java:48)
at org.apache.lucene.util.TestRuleIgnoreAfterMaxFailures$1.evaluate(TestRuleIgnoreAfterMaxFailures.java:65)
at org.apache.lucene.util.TestRuleIgnoreTestSuites$1.evaluate(TestRuleIgnoreTestSuites.java:55)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.ThreadLeakControl$StatementRunner.run(ThreadLeakControl.java:365)
at java.lang.Thread.run(Thread.java:745)
ERROR IN SolrLogFormatter! original message:[127.0.0.1]:5742 [DataONEBuildTest]
Members [1] {
Member [127.0.0.1]:5742 this
}
Exception: java.lang.NullPointerException
at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
at java.util.HashMap.hash(HashMap.java:338)
at java.util.HashMap.get(HashMap.java:556)
at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
at java.util.logging.Logger.log(Logger.java:738)
at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:50)
at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:146)
at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:130)
at com.hazelcast.impl.AbstractJoiner$1.process(AbstractJoiner.java:118)
at com.hazelcast.cluster.ClusterService$1.process(ClusterService.java:127)
at com.hazelcast.cluster.ClusterService.processProcessable(ClusterService.java:190)
at com.hazelcast.cluster.ClusterService.dequeueProcessables(ClusterService.java:256)
at com.hazelcast.cluster.ClusterService.run(ClusterService.java:201)
at java.lang.Thread.run(Thread.java:745)
ERROR IN SolrLogFormatter! original message:[127.0.0.1]:5742 [DataONEBuildTest] Address[127.0.0.1]:5742 is STARTED
Exception: java.lang.NullPointerException
at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
at java.util.HashMap.hash(HashMap.java:338)
at java.util.HashMap.get(HashMap.java:556)
at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
at java.util.logging.Logger.log(Logger.java:738)
at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:50)
at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:146)
at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:130)
at com.hazelcast.impl.LifecycleServiceImpl.fireLifecycleEvent(LifecycleServiceImpl.java:63)
at com.hazelcast.impl.LifecycleServiceImpl.fireLifecycleEvent(LifecycleServiceImpl.java:59)
at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:175)
at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:119)
at com.hazelcast.impl.FactoryImpl.newHazelcastInstanceProxy(FactoryImpl.java:104)
at com.hazelcast.core.Hazelcast.newHazelcastInstance(Hazelcast.java:507)
at org.dataone.cn.index.HazelcastClientFactoryTest.startHazelcast(HazelcastClientFactoryTest.java:38)
at org.dataone.cn.index.HazelcastClientFactoryTest.setUp(HazelcastClientFactoryTest.java:54)
at org.dataone.cn.indexer.resourcemap.ProvRdfXmlProcessorTest.init(ProvRdfXmlProcessorTest.java:144)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at com.carrotsearch.randomizedtesting.RandomizedRunner.invoke(RandomizedRunner.java:1627)
at com.carrotsearch.randomizedtesting.RandomizedRunner$4.evaluate(RandomizedRunner.java:776)
at com.carrotsearch.randomizedtesting.RandomizedRunner$5.evaluate(RandomizedRunner.java:792)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.SystemPropertiesRestoreRule$1.evaluate(SystemPropertiesRestoreRule.java:57)
at org.apache.lucene.util.AbstractBeforeAfterRule$1.evaluate(AbstractBeforeAfterRule.java:46)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at org.apache.lucene.util.TestRuleStoreClassName$1.evaluate(TestRuleStoreClassName.java:42)
at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at org.apache.lucene.util.TestRuleAssertionsRequired$1.evaluate(TestRuleAssertionsRequired.java:54)
at org.apache.lucene.util.TestRuleMarkFailure$1.evaluate(TestRuleMarkFailure.java:48)
at org.apache.lucene.util.TestRuleIgnoreAfterMaxFailures$1.evaluate(TestRuleIgnoreAfterMaxFailures.java:65)
at org.apache.lucene.util.TestRuleIgnoreTestSuites$1.evaluate(TestRuleIgnoreTestSuites.java:55)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.ThreadLeakControl$StatementRunner.run(ThreadLeakControl.java:365)
at java.lang.Thread.run(Thread.java:745)
[ WARN] 2017-11-21 22:01:55,305 (org.apache.solr.core.SolrResourceLoader:addToClassLoader:191) Can't find (or read) directory to add to classloader: lib (resolved as: /var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/lib).
[ WARN] 2017-11-21 22:01:56,178 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class SpatialRecursivePrefixTreeFieldType
[ WARN] 2017-11-21 22:01:56,185 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class BBoxField
[ WARN] 2017-11-21 22:01:56,402 (org.apache.solr.core.SolrCore:initIndex:541) [collection1] Solr index directory '/var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/collection1/data/index' doesn't exist. Creating new index...
[ WARN] 2017-11-21 22:01:56,712 (org.apache.solr.rest.ManagedResource:reloadFromStorage:182) No stored data found for /schema/analysis/synonyms/english
ERROR IN SolrLogFormatter! original message:Configuring Hazelcast from 'org/dataone/configuration/hazelcast.xml'.
Exception: java.lang.NullPointerException
at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
at java.util.HashMap.hash(HashMap.java:338)
at java.util.HashMap.get(HashMap.java:556)
at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
at java.util.logging.Logger.log(Logger.java:738)
at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:46)
at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:38)
at com.hazelcast.config.ClasspathXmlConfig.<init>(ClasspathXmlConfig.java:35)
at com.hazelcast.config.ClasspathXmlConfig.<init>(ClasspathXmlConfig.java:30)
at org.dataone.cn.hazelcast.HazelcastClientFactory.getHazelcastClientUsingConfig(HazelcastClientFactory.java:145)
at org.dataone.cn.hazelcast.HazelcastClientFactory.getStorageClient(HazelcastClientFactory.java:93)
at org.dataone.cn.hazelcast.HazelcastClientFactory.getSystemMetadataMap(HazelcastClientFactory.java:71)
at org.dataone.cn.indexer.resourcemap.ProvRdfXmlProcessorTest.addSystemMetadata(ProvRdfXmlProcessorTest.java:557)
at org.dataone.cn.indexer.resourcemap.ProvRdfXmlProcessorTest.insertResource(ProvRdfXmlProcessorTest.java:535)
at org.dataone.cn.indexer.resourcemap.ProvRdfXmlProcessorTest.testInsertProvResourceMap(ProvRdfXmlProcessorTest.java:322)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at com.carrotsearch.randomizedtesting.RandomizedRunner.invoke(RandomizedRunner.java:1627)
at com.carrotsearch.randomizedtesting.RandomizedRunner$6.evaluate(RandomizedRunner.java:836)
at com.carrotsearch.randomizedtesting.RandomizedRunner$7.evaluate(RandomizedRunner.java:872)
at com.carrotsearch.randomizedtesting.RandomizedRunner$8.evaluate(RandomizedRunner.java:886)
at com.carrotsearch.randomizedtesting.rules.SystemPropertiesRestoreRule$1.evaluate(SystemPropertiesRestoreRule.java:57)
at org.apache.lucene.util.TestRuleSetupTeardownChained$1.evaluate(TestRuleSetupTeardownChained.java:50)
at org.apache.lucene.util.AbstractBeforeAfterRule$1.evaluate(AbstractBeforeAfterRule.java:46)
at org.apache.lucene.util.TestRuleThreadAndTestName$1.evaluate(TestRuleThreadAndTestName.java:49)
at org.apache.lucene.util.TestRuleIgnoreAfterMaxFailures$1.evaluate(TestRuleIgnoreAfterMaxFailures.java:65)
at org.apache.lucene.util.TestRuleMarkFailure$1.evaluate(TestRuleMarkFailure.java:48)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.ThreadLeakControl$StatementRunner.run(ThreadLeakControl.java:365)
at com.carrotsearch.randomizedtesting.ThreadLeakControl.forkTimeoutingTask(ThreadLeakControl.java:798)
at com.carrotsearch.randomizedtesting.ThreadLeakControl$3.evaluate(ThreadLeakControl.java:458)
at com.carrotsearch.randomizedtesting.RandomizedRunner.runSingleTest(RandomizedRunner.java:845)
at com.carrotsearch.randomizedtesting.RandomizedRunner$3.evaluate(RandomizedRunner.java:747)
at com.carrotsearch.randomizedtesting.RandomizedRunner$4.evaluate(RandomizedRunner.java:781)
at com.carrotsearch.randomizedtesting.RandomizedRunner$5.evaluate(RandomizedRunner.java:792)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.SystemPropertiesRestoreRule$1.evaluate(SystemPropertiesRestoreRule.java:57)
at org.apache.lucene.util.AbstractBeforeAfterRule$1.evaluate(AbstractBeforeAfterRule.java:46)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at org.apache.lucene.util.TestRuleStoreClassName$1.evaluate(TestRuleStoreClassName.java:42)
at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at org.apache.lucene.util.TestRuleAssertionsRequired$1.evaluate(TestRuleAssertionsRequired.java:54)
at org.apache.lucene.util.TestRuleMarkFailure$1.evaluate(TestRuleMarkFailure.java:48)
at org.apache.lucene.util.TestRuleIgnoreAfterMaxFailures$1.evaluate(TestRuleIgnoreAfterMaxFailures.java:65)
at org.apache.lucene.util.TestRuleIgnoreTestSuites$1.evaluate(TestRuleIgnoreTestSuites.java:55)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.ThreadLeakControl$StatementRunner.run(ThreadLeakControl.java:365)
at java.lang.Thread.run(Thread.java:745)
ERROR IN SolrLogFormatter! original message:HazelcastClient is STARTING
Exception: java.lang.NullPointerException
at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
at java.util.HashMap.hash(HashMap.java:338)
at java.util.HashMap.get(HashMap.java:556)
at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
at java.util.logging.Logger.log(Logger.java:738)
at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:46)
at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:38)
at com.hazelcast.client.LifecycleServiceClientImpl.fireLifecycleEvent(LifecycleServiceClientImpl.java:83)
at com.hazelcast.client.LifecycleServiceClientImpl$1.call(LifecycleServiceClientImpl.java:72)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
ERROR IN SolrLogFormatter! original message:[127.0.0.1]:5742 [DataONEBuildTest] 5742 is accepting socket connection from /127.0.0.1:47100
Exception: java.lang.NullPointerException
at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
at java.util.HashMap.hash(HashMap.java:338)
at java.util.HashMap.get(HashMap.java:556)
at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
at java.util.logging.Logger.log(Logger.java:738)
at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:50)
at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:146)
at com.hazelcast.nio.SocketAcceptor.log(SocketAcceptor.java:142)
at com.hazelcast.nio.SocketAcceptor.log(SocketAcceptor.java:138)
at com.hazelcast.nio.SocketAcceptor.access$000(SocketAcceptor.java:28)
at com.hazelcast.nio.SocketAcceptor$1.run(SocketAcceptor.java:111)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
at com.hazelcast.impl.ExecutorThreadFactory$1.run(ExecutorThreadFactory.java:38)
ERROR IN SolrLogFormatter! original message:[127.0.0.1]:5742 [DataONEBuildTest] 5742 accepted socket connection from /127.0.0.1:47100
Exception: java.lang.NullPointerException
at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
at java.util.HashMap.hash(HashMap.java:338)
at java.util.HashMap.get(HashMap.java:556)
at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
at java.util.logging.Logger.log(Logger.java:738)
at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:50)
at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:146)
at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:130)
at com.hazelcast.nio.ConnectionManager.log(ConnectionManager.java:475)
at com.hazelcast.nio.ConnectionManager.assignSocketChannel(ConnectionManager.java:260)
at com.hazelcast.nio.SocketAcceptor$1.run(SocketAcceptor.java:122)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
at com.hazelcast.impl.ExecutorThreadFactory$1.run(ExecutorThreadFactory.java:38)
ERROR IN SolrLogFormatter! original message:[127.0.0.1]:5742 [DataONEBuildTest] received auth from Connection [/127.0.0.1:47100 -> null] live=true, client=true, type=CLIENT, successfully authenticated
Exception: java.lang.NullPointerException
at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
at java.util.HashMap.hash(HashMap.java:338)
at java.util.HashMap.get(HashMap.java:556)
at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
at java.util.logging.Logger.log(Logger.java:738)
at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:50)
at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:146)
at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:130)
at com.hazelcast.impl.ClientHandlerService$ClientAuthenticateHandler.processCall(ClientHandlerService.java:852)
at com.hazelcast.impl.ClientHandlerService$ClientOperationHandler.handle(ClientHandlerService.java:1565)
at com.hazelcast.impl.ClientRequestHandler$1.run(ClientRequestHandler.java:57)
at com.hazelcast.impl.ClientRequestHandler$1.run(ClientRequestHandler.java:54)
at com.hazelcast.impl.ClientRequestHandler.doRun(ClientRequestHandler.java:63)
at com.hazelcast.impl.FallThroughRunnable.run(FallThroughRunnable.java:22)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
at com.hazelcast.impl.ExecutorThreadFactory$1.run(ExecutorThreadFactory.java:38)
ERROR IN SolrLogFormatter! original message:HazelcastClient is CLIENT_CONNECTION_OPENING
Exception: java.lang.NullPointerException
at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
at java.util.HashMap.hash(HashMap.java:338)
at java.util.HashMap.get(HashMap.java:556)
at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
at java.util.logging.Logger.log(Logger.java:738)
at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:46)
at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:38)
at com.hazelcast.client.LifecycleServiceClientImpl.fireLifecycleEvent(LifecycleServiceClientImpl.java:83)
at com.hazelcast.client.LifecycleServiceClientImpl$1.call(LifecycleServiceClientImpl.java:72)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
ERROR IN SolrLogFormatter! original message:HazelcastClient is CLIENT_CONNECTION_OPENED
Exception: java.lang.NullPointerException
at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
at java.util.HashMap.hash(HashMap.java:338)
at java.util.HashMap.get(HashMap.java:556)
at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
at java.util.logging.Logger.log(Logger.java:738)
at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:46)
at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:38)
at com.hazelcast.client.LifecycleServiceClientImpl.fireLifecycleEvent(LifecycleServiceClientImpl.java:83)
at com.hazelcast.client.LifecycleServiceClientImpl$1.call(LifecycleServiceClientImpl.java:72)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
ERROR IN SolrLogFormatter! original message:HazelcastClient is STARTED
Exception: java.lang.NullPointerException
at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
at java.util.HashMap.hash(HashMap.java:338)
at java.util.HashMap.get(HashMap.java:556)
at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
at java.util.logging.Logger.log(Logger.java:738)
at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:46)
at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:38)
at com.hazelcast.client.LifecycleServiceClientImpl.fireLifecycleEvent(LifecycleServiceClientImpl.java:83)
at com.hazelcast.client.LifecycleServiceClientImpl$1.call(LifecycleServiceClientImpl.java:72)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
ERROR IN SolrLogFormatter! original message:[127.0.0.1]:5742 [DataONEBuildTest] Initializing cluster partition table first arrangement...
Exception: java.lang.NullPointerException
at org.apache.solr.SolrLogFormatter$Method.hashCode(SolrLogFormatter.java:63)
at java.util.HashMap.hash(HashMap.java:338)
at java.util.HashMap.get(HashMap.java:556)
at org.apache.solr.SolrLogFormatter.getShortClassName(SolrLogFormatter.java:279)
at org.apache.solr.SolrLogFormatter._format(SolrLogFormatter.java:165)
at org.apache.solr.SolrLogFormatter.format(SolrLogFormatter.java:116)
at java.util.logging.StreamHandler.publish(StreamHandler.java:211)
at java.util.logging.ConsoleHandler.publish(ConsoleHandler.java:116)
at java.util.logging.Logger.log(Logger.java:738)
at com.hazelcast.logging.StandardLoggerFactory$StandardLogger.log(StandardLoggerFactory.java:50)
at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:146)
at com.hazelcast.logging.LoggingServiceImpl$DefaultLogger.log(LoggingServiceImpl.java:130)
at com.hazelcast.impl.PartitionManager.firstArrangement(PartitionManager.java:160)
at com.hazelcast.impl.PartitionManager.getOwner(PartitionManager.java:145)
at com.hazelcast.impl.PartitionServiceImpl$3.process(PartitionServiceImpl.java:143)
at com.hazelcast.cluster.ClusterService.processProcessable(ClusterService.java:190)
at com.hazelcast.cluster.ClusterService.dequeueProcessables(ClusterService.java:256)
at com.hazelcast.cluster.ClusterService.run(ClusterService.java:201)
at java.lang.Thread.run(Thread.java:745)
Hibernate: select indextask0_.id as id2_, indextask0_.dateSysMetaModified as dateSysM2_2_, indextask0_.deleted as deleted2_, indextask0_.formatId as formatId2_, indextask0_.nextExecution as nextExec5_2_, indextask0_.objectPath as objectPath2_, indextask0_.pid as pid2_, indextask0_.priority as priority2_, indextask0_.status as status2_, indextask0_.sysMetadata as sysMeta10_2_, indextask0_.taskModifiedDate as taskMod11_2_, indextask0_.tryCount as tryCount2_, indextask0_.version as version2_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id2_, indextask0_.dateSysMetaModified as dateSysM2_2_, indextask0_.deleted as deleted2_, indextask0_.formatId as formatId2_, indextask0_.nextExecution as nextExec5_2_, indextask0_.objectPath as objectPath2_, indextask0_.pid as pid2_, indextask0_.priority as priority2_, indextask0_.status as status2_, indextask0_.sysMetadata as sysMeta10_2_, indextask0_.taskModifiedDate as taskMod11_2_, indextask0_.tryCount as tryCount2_, indextask0_.version as version2_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id2_, indextask0_.dateSysMetaModified as dateSysM2_2_, indextask0_.deleted as deleted2_, indextask0_.formatId as formatId2_, indextask0_.nextExecution as nextExec5_2_, indextask0_.objectPath as objectPath2_, indextask0_.pid as pid2_, indextask0_.priority as priority2_, indextask0_.status as status2_, indextask0_.sysMetadata as sysMeta10_2_, indextask0_.taskModifiedDate as taskMod11_2_, indextask0_.tryCount as tryCount2_, indextask0_.version as version2_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id2_, indextask0_.dateSysMetaModified as dateSysM2_2_, indextask0_.deleted as deleted2_, indextask0_.formatId as formatId2_, indextask0_.nextExecution as nextExec5_2_, indextask0_.objectPath as objectPath2_, indextask0_.pid as pid2_, indextask0_.priority as priority2_, indextask0_.status as status2_, indextask0_.sysMetadata as sysMeta10_2_, indextask0_.taskModifiedDate as taskMod11_2_, indextask0_.tryCount as tryCount2_, indextask0_.version as version2_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id2_, indextask0_.dateSysMetaModified as dateSysM2_2_, indextask0_.deleted as deleted2_, indextask0_.formatId as formatId2_, indextask0_.nextExecution as nextExec5_2_, indextask0_.objectPath as objectPath2_, indextask0_.pid as pid2_, indextask0_.priority as priority2_, indextask0_.status as status2_, indextask0_.sysMetadata as sysMeta10_2_, indextask0_.taskModifiedDate as taskMod11_2_, indextask0_.tryCount as tryCount2_, indextask0_.version as version2_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id2_, indextask0_.dateSysMetaModified as dateSysM2_2_, indextask0_.deleted as deleted2_, indextask0_.formatId as formatId2_, indextask0_.nextExecution as nextExec5_2_, indextask0_.objectPath as objectPath2_, indextask0_.pid as pid2_, indextask0_.priority as priority2_, indextask0_.status as status2_, indextask0_.sysMetadata as sysMeta10_2_, indextask0_.taskModifiedDate as taskMod11_2_, indextask0_.tryCount as tryCount2_, indextask0_.version as version2_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id2_, indextask0_.dateSysMetaModified as dateSysM2_2_, indextask0_.deleted as deleted2_, indextask0_.formatId as formatId2_, indextask0_.nextExecution as nextExec5_2_, indextask0_.objectPath as objectPath2_, indextask0_.pid as pid2_, indextask0_.priority as priority2_, indextask0_.status as status2_, indextask0_.sysMetadata as sysMeta10_2_, indextask0_.taskModifiedDate as taskMod11_2_, indextask0_.tryCount as tryCount2_, indextask0_.version as version2_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id2_, indextask0_.dateSysMetaModified as dateSysM2_2_, indextask0_.deleted as deleted2_, indextask0_.formatId as formatId2_, indextask0_.nextExecution as nextExec5_2_, indextask0_.objectPath as objectPath2_, indextask0_.pid as pid2_, indextask0_.priority as priority2_, indextask0_.status as status2_, indextask0_.sysMetadata as sysMeta10_2_, indextask0_.taskModifiedDate as taskMod11_2_, indextask0_.tryCount as tryCount2_, indextask0_.version as version2_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id2_, indextask0_.dateSysMetaModified as dateSysM2_2_, indextask0_.deleted as deleted2_, indextask0_.formatId as formatId2_, indextask0_.nextExecution as nextExec5_2_, indextask0_.objectPath as objectPath2_, indextask0_.pid as pid2_, indextask0_.priority as priority2_, indextask0_.status as status2_, indextask0_.sysMetadata as sysMeta10_2_, indextask0_.taskModifiedDate as taskMod11_2_, indextask0_.tryCount as tryCount2_, indextask0_.version as version2_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id2_, indextask0_.dateSysMetaModified as dateSysM2_2_, indextask0_.deleted as deleted2_, indextask0_.formatId as formatId2_, indextask0_.nextExecution as nextExec5_2_, indextask0_.objectPath as objectPath2_, indextask0_.pid as pid2_, indextask0_.priority as priority2_, indextask0_.status as status2_, indextask0_.sysMetadata as sysMeta10_2_, indextask0_.taskModifiedDate as taskMod11_2_, indextask0_.tryCount as tryCount2_, indextask0_.version as version2_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id2_, indextask0_.dateSysMetaModified as dateSysM2_2_, indextask0_.deleted as deleted2_, indextask0_.formatId as formatId2_, indextask0_.nextExecution as nextExec5_2_, indextask0_.objectPath as objectPath2_, indextask0_.pid as pid2_, indextask0_.priority as priority2_, indextask0_.status as status2_, indextask0_.sysMetadata as sysMeta10_2_, indextask0_.taskModifiedDate as taskMod11_2_, indextask0_.tryCount as tryCount2_, indextask0_.version as version2_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id2_, indextask0_.dateSysMetaModified as dateSysM2_2_, indextask0_.deleted as deleted2_, indextask0_.formatId as formatId2_, indextask0_.nextExecution as nextExec5_2_, indextask0_.objectPath as objectPath2_, indextask0_.pid as pid2_, indextask0_.priority as priority2_, indextask0_.status as status2_, indextask0_.sysMetadata as sysMeta10_2_, indextask0_.taskModifiedDate as taskMod11_2_, indextask0_.tryCount as tryCount2_, indextask0_.version as version2_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id2_, indextask0_.dateSysMetaModified as dateSysM2_2_, indextask0_.deleted as deleted2_, indextask0_.formatId as formatId2_, indextask0_.nextExecution as nextExec5_2_, indextask0_.objectPath as objectPath2_, indextask0_.pid as pid2_, indextask0_.priority as priority2_, indextask0_.status as status2_, indextask0_.sysMetadata as sysMeta10_2_, indextask0_.taskModifiedDate as taskMod11_2_, indextask0_.tryCount as tryCount2_, indextask0_.version as version2_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id2_0_, indextask0_.dateSysMetaModified as dateSysM2_2_0_, indextask0_.deleted as deleted2_0_, indextask0_.formatId as formatId2_0_, indextask0_.nextExecution as nextExec5_2_0_, indextask0_.objectPath as objectPath2_0_, indextask0_.pid as pid2_0_, indextask0_.priority as priority2_0_, indextask0_.status as status2_0_, indextask0_.sysMetadata as sysMeta10_2_0_, indextask0_.taskModifiedDate as taskMod11_2_0_, indextask0_.tryCount as tryCount2_0_, indextask0_.version as version2_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
[ERROR] 2017-11-21 22:02:03,413 (org.dataone.client.auth.CertificateManager:<init>:203) No certificate installed in expected location: /tmp/x509up_u106
java.io.FileNotFoundException: No certificate installed in expected location: /tmp/x509up_u106
at org.dataone.client.auth.CertificateManager.locateDefaultCertificate(CertificateManager.java:1360)
at org.dataone.client.auth.CertificateManager.getCertificateFile(CertificateManager.java:1141)
at org.dataone.client.auth.CertificateManager.<init>(CertificateManager.java:201)
at org.dataone.client.auth.CertificateManager$CertificateManagerSingleton.<clinit>(CertificateManager.java:237)
at org.dataone.client.auth.CertificateManager.getInstance(CertificateManager.java:247)
at org.dataone.client.rest.HttpMultipartRestClient.<init>(HttpMultipartRestClient.java:199)
at org.dataone.client.rest.DefaultHttpMultipartRestClient.<init>(DefaultHttpMultipartRestClient.java:40)
at org.dataone.client.v2.itk.D1Client.getMultipartRestClient(D1Client.java:64)
at org.dataone.client.v2.itk.D1Client.getCN(D1Client.java:226)
at org.dataone.client.v2.formats.ObjectFormatCache.refreshCache(ObjectFormatCache.java:195)
at org.dataone.client.v2.formats.ObjectFormatCache.<init>(ObjectFormatCache.java:96)
at org.dataone.client.v2.formats.ObjectFormatCache.<init>(ObjectFormatCache.java:57)
at org.dataone.client.v2.formats.ObjectFormatCache$ObjectFormatCacheSingleton.<clinit>(ObjectFormatCache.java:110)
at org.dataone.client.v2.formats.ObjectFormatCache.getInstance(ObjectFormatCache.java:117)
at org.dataone.cn.index.processor.IndexTaskProcessor.isDataObject(IndexTaskProcessor.java:759)
at org.dataone.cn.index.processor.IndexTaskProcessor.isObjectPathReady(IndexTaskProcessor.java:726)
at org.dataone.cn.index.processor.IndexTaskProcessor.getNextIndexTask(IndexTaskProcessor.java:576)
at org.dataone.cn.index.processor.IndexTaskProcessor.processIndexTaskQueue(IndexTaskProcessor.java:170)
at org.dataone.cn.indexer.resourcemap.ProvRdfXmlProcessorTest.testInsertProvResourceMap(ProvRdfXmlProcessorTest.java:353)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at com.carrotsearch.randomizedtesting.RandomizedRunner.invoke(RandomizedRunner.java:1627)
at com.carrotsearch.randomizedtesting.RandomizedRunner$6.evaluate(RandomizedRunner.java:836)
at com.carrotsearch.randomizedtesting.RandomizedRunner$7.evaluate(RandomizedRunner.java:872)
at com.carrotsearch.randomizedtesting.RandomizedRunner$8.evaluate(RandomizedRunner.java:886)
at com.carrotsearch.randomizedtesting.rules.SystemPropertiesRestoreRule$1.evaluate(SystemPropertiesRestoreRule.java:57)
at org.apache.lucene.util.TestRuleSetupTeardownChained$1.evaluate(TestRuleSetupTeardownChained.java:50)
at org.apache.lucene.util.AbstractBeforeAfterRule$1.evaluate(AbstractBeforeAfterRule.java:46)
at org.apache.lucene.util.TestRuleThreadAndTestName$1.evaluate(TestRuleThreadAndTestName.java:49)
at org.apache.lucene.util.TestRuleIgnoreAfterMaxFailures$1.evaluate(TestRuleIgnoreAfterMaxFailures.java:65)
at org.apache.lucene.util.TestRuleMarkFailure$1.evaluate(TestRuleMarkFailure.java:48)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.ThreadLeakControl$StatementRunner.run(ThreadLeakControl.java:365)
at com.carrotsearch.randomizedtesting.ThreadLeakControl.forkTimeoutingTask(ThreadLeakControl.java:798)
at com.carrotsearch.randomizedtesting.ThreadLeakControl$3.evaluate(ThreadLeakControl.java:458)
at com.carrotsearch.randomizedtesting.RandomizedRunner.runSingleTest(RandomizedRunner.java:845)
at com.carrotsearch.randomizedtesting.RandomizedRunner$3.evaluate(RandomizedRunner.java:747)
at com.carrotsearch.randomizedtesting.RandomizedRunner$4.evaluate(RandomizedRunner.java:781)
at com.carrotsearch.randomizedtesting.RandomizedRunner$5.evaluate(RandomizedRunner.java:792)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.SystemPropertiesRestoreRule$1.evaluate(SystemPropertiesRestoreRule.java:57)
at org.apache.lucene.util.AbstractBeforeAfterRule$1.evaluate(AbstractBeforeAfterRule.java:46)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at org.apache.lucene.util.TestRuleStoreClassName$1.evaluate(TestRuleStoreClassName.java:42)
at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at org.apache.lucene.util.TestRuleAssertionsRequired$1.evaluate(TestRuleAssertionsRequired.java:54)
at org.apache.lucene.util.TestRuleMarkFailure$1.evaluate(TestRuleMarkFailure.java:48)
at org.apache.lucene.util.TestRuleIgnoreAfterMaxFailures$1.evaluate(TestRuleIgnoreAfterMaxFailures.java:65)
at org.apache.lucene.util.TestRuleIgnoreTestSuites$1.evaluate(TestRuleIgnoreTestSuites.java:55)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.ThreadLeakControl$StatementRunner.run(ThreadLeakControl.java:365)
at java.lang.Thread.run(Thread.java:745)
Hibernate: select indextask0_.id as id2_0_, indextask0_.dateSysMetaModified as dateSysM2_2_0_, indextask0_.deleted as deleted2_0_, indextask0_.formatId as formatId2_0_, indextask0_.nextExecution as nextExec5_2_0_, indextask0_.objectPath as objectPath2_0_, indextask0_.pid as pid2_0_, indextask0_.priority as priority2_0_, indextask0_.status as status2_0_, indextask0_.sysMetadata as sysMeta10_2_0_, indextask0_.taskModifiedDate as taskMod11_2_0_, indextask0_.tryCount as tryCount2_0_, indextask0_.version as version2_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id2_0_, indextask0_.dateSysMetaModified as dateSysM2_2_0_, indextask0_.deleted as deleted2_0_, indextask0_.formatId as formatId2_0_, indextask0_.nextExecution as nextExec5_2_0_, indextask0_.objectPath as objectPath2_0_, indextask0_.pid as pid2_0_, indextask0_.priority as priority2_0_, indextask0_.status as status2_0_, indextask0_.sysMetadata as sysMeta10_2_0_, indextask0_.taskModifiedDate as taskMod11_2_0_, indextask0_.tryCount as tryCount2_0_, indextask0_.version as version2_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id2_0_, indextask0_.dateSysMetaModified as dateSysM2_2_0_, indextask0_.deleted as deleted2_0_, indextask0_.formatId as formatId2_0_, indextask0_.nextExecution as nextExec5_2_0_, indextask0_.objectPath as objectPath2_0_, indextask0_.pid as pid2_0_, indextask0_.priority as priority2_0_, indextask0_.status as status2_0_, indextask0_.sysMetadata as sysMeta10_2_0_, indextask0_.taskModifiedDate as taskMod11_2_0_, indextask0_.tryCount as tryCount2_0_, indextask0_.version as version2_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id2_0_, indextask0_.dateSysMetaModified as dateSysM2_2_0_, indextask0_.deleted as deleted2_0_, indextask0_.formatId as formatId2_0_, indextask0_.nextExecution as nextExec5_2_0_, indextask0_.objectPath as objectPath2_0_, indextask0_.pid as pid2_0_, indextask0_.priority as priority2_0_, indextask0_.status as status2_0_, indextask0_.sysMetadata as sysMeta10_2_0_, indextask0_.taskModifiedDate as taskMod11_2_0_, indextask0_.tryCount as tryCount2_0_, indextask0_.version as version2_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id2_0_, indextask0_.dateSysMetaModified as dateSysM2_2_0_, indextask0_.deleted as deleted2_0_, indextask0_.formatId as formatId2_0_, indextask0_.nextExecution as nextExec5_2_0_, indextask0_.objectPath as objectPath2_0_, indextask0_.pid as pid2_0_, indextask0_.priority as priority2_0_, indextask0_.status as status2_0_, indextask0_.sysMetadata as sysMeta10_2_0_, indextask0_.taskModifiedDate as taskMod11_2_0_, indextask0_.tryCount as tryCount2_0_, indextask0_.version as version2_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id2_, indextask0_.dateSysMetaModified as dateSysM2_2_, indextask0_.deleted as deleted2_, indextask0_.formatId as formatId2_, indextask0_.nextExecution as nextExec5_2_, indextask0_.objectPath as objectPath2_, indextask0_.pid as pid2_, indextask0_.priority as priority2_, indextask0_.status as status2_, indextask0_.sysMetadata as sysMeta10_2_, indextask0_.taskModifiedDate as taskMod11_2_, indextask0_.tryCount as tryCount2_, indextask0_.version as version2_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id2_, indextask0_.dateSysMetaModified as dateSysM2_2_, indextask0_.deleted as deleted2_, indextask0_.formatId as formatId2_, indextask0_.nextExecution as nextExec5_2_, indextask0_.objectPath as objectPath2_, indextask0_.pid as pid2_, indextask0_.priority as priority2_, indextask0_.status as status2_, indextask0_.sysMetadata as sysMeta10_2_, indextask0_.taskModifiedDate as taskMod11_2_, indextask0_.tryCount as tryCount2_, indextask0_.version as version2_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id2_, indextask0_.dateSysMetaModified as dateSysM2_2_, indextask0_.deleted as deleted2_, indextask0_.formatId as formatId2_, indextask0_.nextExecution as nextExec5_2_, indextask0_.objectPath as objectPath2_, indextask0_.pid as pid2_, indextask0_.priority as priority2_, indextask0_.status as status2_, indextask0_.sysMetadata as sysMeta10_2_, indextask0_.taskModifiedDate as taskMod11_2_, indextask0_.tryCount as tryCount2_, indextask0_.version as version2_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
[ WARN] 2017-11-21 22:02:05,518 (org.apache.solr.core.SolrCore:getSearcher:1757) [collection1] PERFORMANCE WARNING: Overlapping onDeckSearchers=2
[ WARN] 2017-11-21 22:02:05,523 (org.apache.solr.core.SolrCore:getSearcher:1757) [collection1] PERFORMANCE WARNING: Overlapping onDeckSearchers=2
Hibernate: select indextask0_.id as id2_0_, indextask0_.dateSysMetaModified as dateSysM2_2_0_, indextask0_.deleted as deleted2_0_, indextask0_.formatId as formatId2_0_, indextask0_.nextExecution as nextExec5_2_0_, indextask0_.objectPath as objectPath2_0_, indextask0_.pid as pid2_0_, indextask0_.priority as priority2_0_, indextask0_.status as status2_0_, indextask0_.sysMetadata as sysMeta10_2_0_, indextask0_.taskModifiedDate as taskMod11_2_0_, indextask0_.tryCount as tryCount2_0_, indextask0_.version as version2_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: select indextask0_.id as id2_0_, indextask0_.dateSysMetaModified as dateSysM2_2_0_, indextask0_.deleted as deleted2_0_, indextask0_.formatId as formatId2_0_, indextask0_.nextExecution as nextExec5_2_0_, indextask0_.objectPath as objectPath2_0_, indextask0_.pid as pid2_0_, indextask0_.priority as priority2_0_, indextask0_.status as status2_0_, indextask0_.sysMetadata as sysMeta10_2_0_, indextask0_.taskModifiedDate as taskMod11_2_0_, indextask0_.tryCount as tryCount2_0_, indextask0_.version as version2_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: select indextask0_.id as id2_0_, indextask0_.dateSysMetaModified as dateSysM2_2_0_, indextask0_.deleted as deleted2_0_, indextask0_.formatId as formatId2_0_, indextask0_.nextExecution as nextExec5_2_0_, indextask0_.objectPath as objectPath2_0_, indextask0_.pid as pid2_0_, indextask0_.priority as priority2_0_, indextask0_.status as status2_0_, indextask0_.sysMetadata as sysMeta10_2_0_, indextask0_.taskModifiedDate as taskMod11_2_0_, indextask0_.tryCount as tryCount2_0_, indextask0_.version as version2_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: select indextask0_.id as id2_0_, indextask0_.dateSysMetaModified as dateSysM2_2_0_, indextask0_.deleted as deleted2_0_, indextask0_.formatId as formatId2_0_, indextask0_.nextExecution as nextExec5_2_0_, indextask0_.objectPath as objectPath2_0_, indextask0_.pid as pid2_0_, indextask0_.priority as priority2_0_, indextask0_.status as status2_0_, indextask0_.sysMetadata as sysMeta10_2_0_, indextask0_.taskModifiedDate as taskMod11_2_0_, indextask0_.tryCount as tryCount2_0_, indextask0_.version as version2_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: select indextask0_.id as id2_0_, indextask0_.dateSysMetaModified as dateSysM2_2_0_, indextask0_.deleted as deleted2_0_, indextask0_.formatId as formatId2_0_, indextask0_.nextExecution as nextExec5_2_0_, indextask0_.objectPath as objectPath2_0_, indextask0_.pid as pid2_0_, indextask0_.priority as priority2_0_, indextask0_.status as status2_0_, indextask0_.sysMetadata as sysMeta10_2_0_, indextask0_.taskModifiedDate as taskMod11_2_0_, indextask0_.tryCount as tryCount2_0_, indextask0_.version as version2_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id2_0_, indextask0_.dateSysMetaModified as dateSysM2_2_0_, indextask0_.deleted as deleted2_0_, indextask0_.formatId as formatId2_0_, indextask0_.nextExecution as nextExec5_2_0_, indextask0_.objectPath as objectPath2_0_, indextask0_.pid as pid2_0_, indextask0_.priority as priority2_0_, indextask0_.status as status2_0_, indextask0_.sysMetadata as sysMeta10_2_0_, indextask0_.taskModifiedDate as taskMod11_2_0_, indextask0_.tryCount as tryCount2_0_, indextask0_.version as version2_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id2_, indextask0_.dateSysMetaModified as dateSysM2_2_, indextask0_.deleted as deleted2_, indextask0_.formatId as formatId2_, indextask0_.nextExecution as nextExec5_2_, indextask0_.objectPath as objectPath2_, indextask0_.pid as pid2_, indextask0_.priority as priority2_, indextask0_.status as status2_, indextask0_.sysMetadata as sysMeta10_2_, indextask0_.taskModifiedDate as taskMod11_2_, indextask0_.tryCount as tryCount2_, indextask0_.version as version2_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id2_0_, indextask0_.dateSysMetaModified as dateSysM2_2_0_, indextask0_.deleted as deleted2_0_, indextask0_.formatId as formatId2_0_, indextask0_.nextExecution as nextExec5_2_0_, indextask0_.objectPath as objectPath2_0_, indextask0_.pid as pid2_0_, indextask0_.priority as priority2_0_, indextask0_.status as status2_0_, indextask0_.sysMetadata as sysMeta10_2_0_, indextask0_.taskModifiedDate as taskMod11_2_0_, indextask0_.tryCount as tryCount2_0_, indextask0_.version as version2_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id2_, indextask0_.dateSysMetaModified as dateSysM2_2_, indextask0_.deleted as deleted2_, indextask0_.formatId as formatId2_, indextask0_.nextExecution as nextExec5_2_, indextask0_.objectPath as objectPath2_, indextask0_.pid as pid2_, indextask0_.priority as priority2_, indextask0_.status as status2_, indextask0_.sysMetadata as sysMeta10_2_, indextask0_.taskModifiedDate as taskMod11_2_, indextask0_.tryCount as tryCount2_, indextask0_.version as version2_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id2_0_, indextask0_.dateSysMetaModified as dateSysM2_2_0_, indextask0_.deleted as deleted2_0_, indextask0_.formatId as formatId2_0_, indextask0_.nextExecution as nextExec5_2_0_, indextask0_.objectPath as objectPath2_0_, indextask0_.pid as pid2_0_, indextask0_.priority as priority2_0_, indextask0_.status as status2_0_, indextask0_.sysMetadata as sysMeta10_2_0_, indextask0_.taskModifiedDate as taskMod11_2_0_, indextask0_.tryCount as tryCount2_0_, indextask0_.version as version2_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
referencedPid: ala-wai-canal-ns02-ctd-data.1.txt
referencedPid: ala-wai-canal-ns02-image-data-AW02XX_001CTDXXXXR00_20150203_10day.1.jpg
referencedPid: ala-wai-canal-ns02-matlab-processing-schedule_AW02XX_001CTDXXXXR00_processing.1.m
Tests run: 3, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 24.979 sec - in org.dataone.cn.indexer.resourcemap.ProvRdfXmlProcessorTest
Running org.dataone.cn.indexer.AppTest
output: <?xml version="1.0" encoding="utf-8"?>
<add><doc><field name="fieldName1">value1</field><field name="fieldName2">value2</field><field name="fieldName3">value3</field><field name="fieldName4">value4</field><field name="fieldName5">value5</field><field name="fieldName6">value6</field></doc></add>
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.006 sec - in org.dataone.cn.indexer.AppTest
Running org.dataone.cn.indexer.annotation.SolrFieldAnnotatorTest
annotation: {
"pid": "peggym.130.4",
"id": "annotation.130.4",
"field": "sem_annotation",
"reject": false,
"ranges": [
{
"start": "/section[1]/article[1]/form[1]/section[1]/div[1]/div[1]",
"end": "/section[1]/article[1]/form[1]/section[1]/div[1]/div[1]",
"startOffset": 0,
"endOffset": 4
}
],
"permissions": {
"read": [
"group:__world__"
],
"delete": [],
"admin": [],
"update": []
},
"user": "CN=Benjamin Leinfelder A515,O=University of Chicago,C=US,DC=cilogon,DC=org",
"consumer": "metacat",
"updated": "2014-12-03T23:29:20.262152+00:00",
"quote": "Data",
"oa:Motivation": "oa:tagging",
"tags": ["http://ecoinformatics.org/oboe/oboe.1.0/oboe-characteristics.owl#Mass"],
"text": "Original annotation content",
"created": "2014-12-03T23:09:25.501665+00:00",
"uri": "https://cn-dev.test.dataone.org/cn/v1/object/peggym.130.4"
}
[ WARN] 2017-11-21 22:02:18,692 (org.dataone.cn.indexer.annotation.AnnotatorSubprocessor:expandConcepts:309) loading ontology: http://purl.org/dc/terms/
[ WARN] 2017-11-21 22:02:23,861 (org.dataone.cn.indexer.annotation.AnnotatorSubprocessor:expandConcepts:309) loading ontology: http://www.w3.org/2006/time
[ WARN] 2017-11-21 22:02:24,268 (org.dataone.cn.indexer.annotation.AnnotatorSubprocessor:expandConcepts:309) loading ontology: http://purl.dataone.org/ontologies/observation/d1-ECSO.owl
[ERROR] 2017-11-21 22:02:24,538 (org.dataone.cn.indexer.annotation.AnnotatorSubprocessor:parseAnnotation:277) Problem exapnding concept: http://ecoinformatics.org/oboe/oboe.1.0/oboe-characteristics.owl#Mass
org.apache.jena.atlas.web.HttpException: javax.net.ssl.SSLException: hostname in certificate didn't match: <purl.dataone.org> != <project.dataone.org> OR <project.dataone.org>
at org.apache.jena.riot.web.HttpOp.exec(HttpOp.java:1026)
at org.apache.jena.riot.web.HttpOp.execHttpGet(HttpOp.java:291)
at org.apache.jena.riot.web.HttpOp.execHttpGet(HttpOp.java:326)
at org.apache.jena.riot.stream.LocatorURL.open(LocatorURL.java:46)
at org.apache.jena.riot.stream.StreamManager.openNoMapOrNull(StreamManager.java:138)
at org.apache.jena.riot.stream.StreamManager.open(StreamManager.java:99)
at org.apache.jena.riot.RDFDataMgr.open(RDFDataMgr.java:783)
at org.apache.jena.riot.RDFDataMgr.open(RDFDataMgr.java:772)
at org.apache.jena.riot.RDFDataMgr.parse(RDFDataMgr.java:676)
at org.apache.jena.riot.RDFDataMgr.read(RDFDataMgr.java:211)
at org.apache.jena.riot.RDFDataMgr.read(RDFDataMgr.java:184)
at org.apache.jena.riot.RDFDataMgr.read(RDFDataMgr.java:122)
at org.apache.jena.riot.RDFDataMgr.read(RDFDataMgr.java:113)
at org.apache.jena.riot.adapters.RDFReaderRIOT.read(RDFReaderRIOT.java:77)
at com.hp.hpl.jena.rdf.model.impl.ModelCom.read(ModelCom.java:229)
at com.hp.hpl.jena.ontology.impl.OntModelImpl.readDelegate(OntModelImpl.java:3107)
at com.hp.hpl.jena.ontology.impl.OntModelImpl.read(OntModelImpl.java:2198)
at com.hp.hpl.jena.ontology.impl.OntModelImpl.read(OntModelImpl.java:2122)
at org.dataone.cn.indexer.annotation.AnnotatorSubprocessor.expandConcepts(AnnotatorSubprocessor.java:310)
at org.dataone.cn.indexer.annotation.AnnotatorSubprocessor.parseAnnotation(AnnotatorSubprocessor.java:267)
at org.dataone.cn.indexer.annotation.AnnotatorSubprocessor.processDocument(AnnotatorSubprocessor.java:128)
at org.dataone.cn.indexer.annotation.SolrFieldAnnotatorTest.compareFields(SolrFieldAnnotatorTest.java:119)
at org.dataone.cn.indexer.annotation.SolrFieldAnnotatorTest.testAnnotationFields(SolrFieldAnnotatorTest.java:150)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:45)
at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:15)
at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:42)
at org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:20)
at org.junit.internal.runners.statements.RunBefores.evaluate(RunBefores.java:28)
at org.springframework.test.context.junit4.statements.RunBeforeTestMethodCallbacks.evaluate(RunBeforeTestMethodCallbacks.java:74)
at org.springframework.test.context.junit4.statements.RunAfterTestMethodCallbacks.evaluate(RunAfterTestMethodCallbacks.java:83)
at org.springframework.test.context.junit4.statements.SpringRepeat.evaluate(SpringRepeat.java:72)
at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.runChild(SpringJUnit4ClassRunner.java:231)
at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:47)
at org.junit.runners.ParentRunner$3.run(ParentRunner.java:231)
at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:60)
at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:229)
at org.junit.runners.ParentRunner.access$000(ParentRunner.java:50)
at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:222)
at org.springframework.test.context.junit4.statements.RunBeforeTestClassCallbacks.evaluate(RunBeforeTestClassCallbacks.java:61)
at org.springframework.test.context.junit4.statements.RunAfterTestClassCallbacks.evaluate(RunAfterTestClassCallbacks.java:71)
at org.junit.runners.ParentRunner.run(ParentRunner.java:300)
at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.run(SpringJUnit4ClassRunner.java:174)
at org.apache.maven.surefire.junit4.JUnit4Provider.execute(JUnit4Provider.java:264)
at org.apache.maven.surefire.junit4.JUnit4Provider.executeTestSet(JUnit4Provider.java:153)
at org.apache.maven.surefire.junit4.JUnit4Provider.invoke(JUnit4Provider.java:124)
at org.apache.maven.surefire.booter.ForkedBooter.invokeProviderInSameClassLoader(ForkedBooter.java:200)
at org.apache.maven.surefire.booter.ForkedBooter.runSuitesInProcess(ForkedBooter.java:153)
at org.apache.maven.surefire.booter.ForkedBooter.main(ForkedBooter.java:103)
Caused by: javax.net.ssl.SSLException: hostname in certificate didn't match: <purl.dataone.org> != <project.dataone.org> OR <project.dataone.org>
at org.apache.http.conn.ssl.AbstractVerifier.verify(AbstractVerifier.java:231)
at org.apache.http.conn.ssl.BrowserCompatHostnameVerifier.verify(BrowserCompatHostnameVerifier.java:54)
at org.apache.http.conn.ssl.AbstractVerifier.verify(AbstractVerifier.java:152)
at org.apache.http.conn.ssl.AbstractVerifier.verify(AbstractVerifier.java:133)
at org.apache.http.conn.ssl.SSLSocketFactory.verifyHostname(SSLSocketFactory.java:559)
at org.apache.http.conn.ssl.SSLSocketFactory.connectSocket(SSLSocketFactory.java:534)
at org.apache.http.conn.ssl.SSLSocketFactory.connectSocket(SSLSocketFactory.java:401)
at org.apache.http.impl.conn.DefaultClientConnectionOperator.openConnection(DefaultClientConnectionOperator.java:177)
at org.apache.http.impl.conn.ManagedClientConnectionImpl.open(ManagedClientConnectionImpl.java:304)
at org.apache.http.impl.client.DefaultRequestDirector.tryConnect(DefaultRequestDirector.java:611)
at org.apache.http.impl.client.DefaultRequestDirector.execute(DefaultRequestDirector.java:446)
at org.apache.http.impl.client.AbstractHttpClient.doExecute(AbstractHttpClient.java:863)
at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:82)
at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:57)
at org.apache.jena.riot.web.HttpOp.exec(HttpOp.java:1011)
... 51 more
[ERROR] 2017-11-21 22:02:24,551 (org.dataone.cn.indexer.annotation.AnnotatorSubprocessor:processDocument:142) Unable to retrieve solr document: peggym.130.4. Exception attempting to communicate with solr server.
java.net.ConnectException: Connection refused (Connection refused)
at java.net.PlainSocketImpl.socketConnect(Native Method)
at java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:350)
at java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:206)
at java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:188)
at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392)
at java.net.Socket.connect(Socket.java:589)
at org.apache.http.conn.scheme.PlainSocketFactory.connectSocket(PlainSocketFactory.java:117)
at org.apache.http.impl.conn.DefaultClientConnectionOperator.openConnection(DefaultClientConnectionOperator.java:177)
at org.apache.http.impl.conn.ManagedClientConnectionImpl.open(ManagedClientConnectionImpl.java:304)
at org.apache.http.impl.client.DefaultRequestDirector.tryConnect(DefaultRequestDirector.java:611)
at org.apache.http.impl.client.DefaultRequestDirector.execute(DefaultRequestDirector.java:446)
at org.apache.http.impl.client.AbstractHttpClient.doExecute(AbstractHttpClient.java:863)
at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:82)
at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:106)
at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:57)
at org.dataone.cn.indexer.solrhttp.HTTPService.doRequest(HTTPService.java:380)
at org.dataone.cn.indexer.solrhttp.HTTPService.getDocumentsByField(HTTPService.java:335)
at org.dataone.cn.indexer.solrhttp.HTTPService.getDocumentsById(HTTPService.java:280)
at org.dataone.cn.indexer.solrhttp.HTTPService.retrieveDocumentFromSolrServer(HTTPService.java:401)
at org.dataone.cn.indexer.annotation.AnnotatorSubprocessor.processDocument(AnnotatorSubprocessor.java:138)
at org.dataone.cn.indexer.annotation.SolrFieldAnnotatorTest.compareFields(SolrFieldAnnotatorTest.java:119)
at org.dataone.cn.indexer.annotation.SolrFieldAnnotatorTest.testAnnotationFields(SolrFieldAnnotatorTest.java:150)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:45)
at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:15)
at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:42)
at org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:20)
at org.junit.internal.runners.statements.RunBefores.evaluate(RunBefores.java:28)
at org.springframework.test.context.junit4.statements.RunBeforeTestMethodCallbacks.evaluate(RunBeforeTestMethodCallbacks.java:74)
at org.springframework.test.context.junit4.statements.RunAfterTestMethodCallbacks.evaluate(RunAfterTestMethodCallbacks.java:83)
at org.springframework.test.context.junit4.statements.SpringRepeat.evaluate(SpringRepeat.java:72)
at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.runChild(SpringJUnit4ClassRunner.java:231)
at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:47)
at org.junit.runners.ParentRunner$3.run(ParentRunner.java:231)
at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:60)
at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:229)
at org.junit.runners.ParentRunner.access$000(ParentRunner.java:50)
at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:222)
at org.springframework.test.context.junit4.statements.RunBeforeTestClassCallbacks.evaluate(RunBeforeTestClassCallbacks.java:61)
at org.springframework.test.context.junit4.statements.RunAfterTestClassCallbacks.evaluate(RunAfterTestClassCallbacks.java:71)
at org.junit.runners.ParentRunner.run(ParentRunner.java:300)
at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.run(SpringJUnit4ClassRunner.java:174)
at org.apache.maven.surefire.junit4.JUnit4Provider.execute(JUnit4Provider.java:264)
at org.apache.maven.surefire.junit4.JUnit4Provider.executeTestSet(JUnit4Provider.java:153)
at org.apache.maven.surefire.junit4.JUnit4Provider.invoke(JUnit4Provider.java:124)
at org.apache.maven.surefire.booter.ForkedBooter.invokeProviderInSameClassLoader(ForkedBooter.java:200)
at org.apache.maven.surefire.booter.ForkedBooter.runSuitesInProcess(ForkedBooter.java:153)
at org.apache.maven.surefire.booter.ForkedBooter.main(ForkedBooter.java:103)
[ WARN] 2017-11-21 22:02:24,552 (org.dataone.cn.indexer.annotation.AnnotatorSubprocessor:processDocument:147) DID NOT LOCATE REFERENCED DOC: peggym.130.4
Checking value: peggym.130.4
in expected: [peggym.130.4]
Checking value: annotation.130.4
in expected: [annotation.130.4]
Checking value: http://ecoinformatics.org/oboe/oboe.1.0/oboe-characteristics.owl#Mass
in expected: [http://ecoinformatics.org/oboe/oboe.1.0/oboe-characteristics.owl#Mass, http://ecoinformatics.org/oboe/oboe.1.0/oboe-core.owl#PhysicalCharacteristic, http://ecoinformatics.org/oboe/oboe.1.0/oboe-core.owl#Characteristic, http://www.w3.org/2000/01/rdf-schema#Resource]
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 6.941 sec - in org.dataone.cn.indexer.annotation.SolrFieldAnnotatorTest
Running org.dataone.cn.indexer.annotation.AnnotatorSubprocessorTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 1, Time elapsed: 0.003 sec - in org.dataone.cn.indexer.annotation.AnnotatorSubprocessorTest
Running org.dataone.cn.indexer.annotation.SolrIndexAnnotatorTest
Creating dataDir: /tmp/org.dataone.cn.indexer.annotation.SolrIndexAnnotatorTest_68862BE1D67BCCF5-001/init-core-data-001
[ WARN] 2017-11-21 22:02:25,348 (org.apache.solr.core.SolrResourceLoader:addToClassLoader:191) Can't find (or read) directory to add to classloader: lib (resolved as: /var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/lib).
[ WARN] 2017-11-21 22:02:25,667 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class SpatialRecursivePrefixTreeFieldType
[ WARN] 2017-11-21 22:02:25,667 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class BBoxField
[ WARN] 2017-11-21 22:02:25,709 (org.apache.solr.core.SolrCore:initIndex:541) [collection1] Solr index directory '/var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/collection1/data/index' doesn't exist. Creating new index...
[ WARN] 2017-11-21 22:02:25,739 (org.apache.solr.rest.ManagedResource:reloadFromStorage:182) No stored data found for /schema/analysis/synonyms/english
Comparing value for field abstract
Doc Value: This metadata record fred, describes a 12-34 TT-12 long-term data document can't frank. This is a test. If this was not a lower, an abstract "double" or 'single' would be present in UPPER (parenthized) this location.
Solr Value: This metadata record fred, describes a 12-34 TT-12 long-term data document can't frank. This is a test. If this was not a lower, an abstract "double" or 'single' would be present in UPPER (parenthized) this location.
Comparing value for field keywords
Doc Value: [SANParks, South Africa, Augrabies Falls National Park,South Africa, Census data, EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature]
Solr Value: [SANParks, South Africa, Augrabies Falls National Park,South Africa, Census data, EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature]
Comparing value for field title
Doc Value: Augrabies falls National Park census data.
Solr Value: Augrabies falls National Park census data.
Comparing value for field southBoundCoord
Doc Value: 26.0
Solr Value: 26.0
Comparing value for field northBoundCoord
Doc Value: 26.0
Solr Value: 26.0
Comparing value for field westBoundCoord
Doc Value: -120.31121
Solr Value: -120.31121
Comparing value for field eastBoundCoord
Doc Value: -120.31121
Solr Value: -120.31121
Comparing value for field site
Doc Value: [Agulhas falls national Park]
Solr Value: [Agulhas falls national Park]
Comparing value for field beginDate
Doc Value: Thu Jan 01 00:00:00 KST 1998
Solr Value: Thu Jan 01 00:00:00 KST 1998
Comparing value for field endDate
Doc Value: Fri Feb 13 00:00:00 KST 2004
Solr Value: Fri Feb 13 00:00:00 KST 2004
Comparing value for field author
Doc Value: SANParks
Solr Value: SANParks
Comparing value for field authorSurName
Doc Value: SANParks
Solr Value: SANParks
Comparing value for field authorSurNameSort
Doc Value: SANParks
Solr Value: SANParks
Comparing value for field authorLastName
Doc Value: [SANParks, Garcia, Freeman]
Solr Value: [SANParks, Garcia, Freeman]
Comparing value for field investigator
Doc Value: [SANParks, Garcia, Freeman]
Solr Value: [SANParks, Garcia, Freeman]
Comparing value for field origin
Doc Value: [SANParks Freddy Garcia, Gordon Freeman, The Awesome Store]
Solr Value: [SANParks Freddy Garcia, Gordon Freeman, The Awesome Store]
Comparing value for field contactOrganization
Doc Value: [SANParks, The Awesome Store]
Solr Value: [SANParks, The Awesome Store]
Comparing value for field genus
Doc Value: [Antidorcas, Cercopithecus, Diceros, Equus, Giraffa, Oreotragus, Oryz, Papio, Taurotragus, Tragelaphus]
Solr Value: [Antidorcas, Cercopithecus, Diceros, Equus, Giraffa, Oreotragus, Oryz, Papio, Taurotragus, Tragelaphus]
Comparing value for field species
Doc Value: [marsupialis, aethiops, bicornis, hartmannae, camelopardalis, oreotragus, gazella, hamadryas, oryx, strepsiceros]
Solr Value: [marsupialis, aethiops, bicornis, hartmannae, camelopardalis, oreotragus, gazella, hamadryas, oryx, strepsiceros]
Comparing value for field scientificName
Doc Value: [Antidorcas marsupialis, Cercopithecus aethiops, Diceros bicornis, Equus hartmannae, Giraffa camelopardalis, Oreotragus oreotragus, Oryz gazella, Papio hamadryas, Taurotragus oryx, Tragelaphus strepsiceros]
Solr Value: [Antidorcas marsupialis, Cercopithecus aethiops, Diceros bicornis, Equus hartmannae, Giraffa camelopardalis, Oreotragus oreotragus, Oryz gazella, Papio hamadryas, Taurotragus oryx, Tragelaphus strepsiceros]
Comparing value for field attributeName
Doc Value: [ID, Lat S, Long E, Date, Stratum, Transect, Species, LatS, LongE, Total, Juvenile, L/R, Species, Stratum, Date, SumOfTotal, SumOfJuvenile, Species, Date, SumOfTotal, SumOfJuvenile]
Solr Value: [ID, Lat S, Long E, Date, Stratum, Transect, Species, LatS, LongE, Total, Juvenile, L/R, Species, Stratum, Date, SumOfTotal, SumOfJuvenile, Species, Date, SumOfTotal, SumOfJuvenile]
Comparing value for field attributeDescription
Doc Value: [The ID, Lat S, Long E, The date, Stratum, Transect, The name of species, LatS, LongE, The total, Juvenile, L/R, The name of species, Stratum, The date, Sum of the total, Sum of juvenile, The name of species, The date, The sum of total, Sum of juvenile]
Solr Value: [The ID, Lat S, Long E, The date, Stratum, Transect, The name of species, LatS, LongE, The total, Juvenile, L/R, The name of species, Stratum, The date, Sum of the total, Sum of juvenile, The name of species, The date, The sum of total, Sum of juvenile]
Comparing value for field attributeUnit
Doc Value: [dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless]
Solr Value: [dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless]
Comparing value for field attribute
Doc Value: [ID The ID dimensionless, Lat S Lat S dimensionless, Long E Long E dimensionless, Date The date, Stratum Stratum dimensionless, Transect Transect dimensionless, Species The name of species, LatS LatS dimensionless, LongE LongE dimensionless, Total The total dimensionless, Juvenile Juvenile dimensionless, L/R L/R dimensionless, Species The name of species, Stratum Stratum dimensionless, Date The date, SumOfTotal Sum of the total dimensionless, SumOfJuvenile Sum of juvenile dimensionless, Species The name of species, Date The date, SumOfTotal The sum of total dimensionless, SumOfJuvenile Sum of juvenile dimensionless]
Solr Value: [ID The ID dimensionless, Lat S Lat S dimensionless, Long E Long E dimensionless, Date The date, Stratum Stratum dimensionless, Transect Transect dimensionless, Species The name of species, LatS LatS dimensionless, LongE LongE dimensionless, Total The total dimensionless, Juvenile Juvenile dimensionless, L/R L/R dimensionless, Species The name of species, Stratum Stratum dimensionless, Date The date, SumOfTotal Sum of the total dimensionless, SumOfJuvenile Sum of juvenile dimensionless, Species The name of species, Date The date, SumOfTotal The sum of total dimensionless, SumOfJuvenile Sum of juvenile dimensionless]
Comparing value for field fileID
Doc Value: https://cn.dataone.org/cn/v2/resolve/peggym.130.4
Solr Value: https://cn.dataone.org/cn/v2/resolve/peggym.130.4
Comparing value for field text
Doc Value: Augrabies falls National Park census data. SANParks Garcia Freddy SANParks Regional Ecologists Private Bag x402 Skukuza, 1350 South Africa Freeman Gordon SANParks Regional Ecologists Private Bag x402 Skukuza, 1350 South Africa The Awesome Store Regional Ecologists Private Bag x402 Skukuza, 1350 South Africa This metadata record fred, describes a 12-34 TT-12 long-term data document can't frank. This is a test. If this was not a lower, an abstract "double" or 'single' would be present in UPPER (parenthized) this location. SANParks, South Africa Augrabies Falls National Park,South Africa Census data EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature Agulhas falls national Park -120.311210 -120.311210 26.0 26.0 1998 2004-02-13 Genus Antidorcas Species marsupialis Hartmans Zebra Genus Cercopithecus Species aethiops Vervet monkey Genus Diceros Species bicornis Baboon Genus Equus Species hartmannae Giraffe Genus Giraffa Species camelopardalis Kudu Genus Oreotragus Species oreotragus Gemsbok Genus Oryz Species gazella Eland Genus Papio Species hamadryas Genus Taurotragus Species oryx Black rhino Genus Tragelaphus Species strepsiceros Klipspringer 1251095992100 peggym.130.4 ID Lat S Long E Date Stratum Transect Species LatS LongE Total Juvenile L/R SumOfTotal SumOfJuvenile The ID Lat S Long E The date Stratum Transect The name of species LatS LongE The total Juvenile L/R Sum of the total Sum of juvenile The sum of total dimensionless
Solr Value: Augrabies falls National Park census data. SANParks Garcia Freddy SANParks Regional Ecologists Private Bag x402 Skukuza, 1350 South Africa Freeman Gordon SANParks Regional Ecologists Private Bag x402 Skukuza, 1350 South Africa The Awesome Store Regional Ecologists Private Bag x402 Skukuza, 1350 South Africa This metadata record fred, describes a 12-34 TT-12 long-term data document can't frank. This is a test. If this was not a lower, an abstract "double" or 'single' would be present in UPPER (parenthized) this location. SANParks, South Africa Augrabies Falls National Park,South Africa Census data EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature Agulhas falls national Park -120.311210 -120.311210 26.0 26.0 1998 2004-02-13 Genus Antidorcas Species marsupialis Hartmans Zebra Genus Cercopithecus Species aethiops Vervet monkey Genus Diceros Species bicornis Baboon Genus Equus Species hartmannae Giraffe Genus Giraffa Species camelopardalis Kudu Genus Oreotragus Species oreotragus Gemsbok Genus Oryz Species gazella Eland Genus Papio Species hamadryas Genus Taurotragus Species oryx Black rhino Genus Tragelaphus Species strepsiceros Klipspringer 1251095992100 peggym.130.4 ID Lat S Long E Date Stratum Transect Species LatS LongE Total Juvenile L/R SumOfTotal SumOfJuvenile The ID Lat S Long E The date Stratum Transect The name of species LatS LongE The total Juvenile L/R Sum of the total Sum of juvenile The sum of total dimensionless
Comparing value for field geohash_1
Doc Value: [9]
Solr Value: [9]
Comparing value for field geohash_2
Doc Value: [9k]
Solr Value: [9k]
Comparing value for field geohash_3
Doc Value: [9kd]
Solr Value: [9kd]
Comparing value for field geohash_4
Doc Value: [9kd7]
Solr Value: [9kd7]
Comparing value for field geohash_5
Doc Value: [9kd7y]
Solr Value: [9kd7y]
Comparing value for field geohash_6
Doc Value: [9kd7ym]
Solr Value: [9kd7ym]
Comparing value for field geohash_7
Doc Value: [9kd7ym0]
Solr Value: [9kd7ym0]
Comparing value for field geohash_8
Doc Value: [9kd7ym0h]
Solr Value: [9kd7ym0h]
Comparing value for field geohash_9
Doc Value: [9kd7ym0hc]
Solr Value: [9kd7ym0hc]
Comparing value for field isService
Doc Value: false
Solr Value: false
Comparing value for field id
Doc Value: peggym.130.4
Solr Value: peggym.130.4
Comparing value for field seriesId
Doc Value: peggym.130
Solr Value: peggym.130
Comparing value for field formatId
Doc Value: eml://ecoinformatics.org/eml-2.1.0
Solr Value: eml://ecoinformatics.org/eml-2.1.0
Comparing value for field formatType
Doc Value: METADATA
Solr Value: METADATA
Comparing value for field size
Doc Value: 36281
Solr Value: 36281
Comparing value for field checksum
Doc Value: 24426711d5385a9ffa583a13d07af2502884932f
Solr Value: 24426711d5385a9ffa583a13d07af2502884932f
Comparing value for field submitter
Doc Value: dataone_integration_test_user
Solr Value: dataone_integration_test_user
Comparing value for field checksumAlgorithm
Doc Value: SHA-1
Solr Value: SHA-1
Comparing value for field rightsHolder
Doc Value: dataone_integration_test_user
Solr Value: dataone_integration_test_user
Comparing value for field replicationAllowed
Doc Value: true
Solr Value: true
Comparing value for field obsoletes
Doc Value: peggym.130.3
Solr Value: peggym.130.3
Comparing value for field dateUploaded
Doc Value: Wed Aug 31 15:59:50 KST 2011
Solr Value: Wed Aug 31 15:59:50 KST 2011
Comparing value for field dateModified
Doc Value: Wed Aug 31 15:59:50 KST 2011
Solr Value: Wed Aug 31 15:59:50 KST 2011
Comparing value for field datasource
Doc Value: test_documents
Solr Value: test_documents
Comparing value for field authoritativeMN
Doc Value: test_documents
Solr Value: test_documents
Comparing value for field readPermission
Doc Value: [public, dataone_public_user, dataone_test_user]
Solr Value: [public, dataone_public_user, dataone_test_user]
Comparing value for field writePermission
Doc Value: [dataone_integration_test_user]
Solr Value: [dataone_integration_test_user]
Comparing value for field isPublic
Doc Value: true
Solr Value: true
Comparing value for field dataUrl
Doc Value: https://cn.dataone.org/cn/v2/resolve/peggym.130.4
Solr Value: https://cn.dataone.org/cn/v2/resolve/peggym.130.4
[ WARN] 2017-11-21 22:02:26,602 (org.dataone.cn.indexer.annotation.AnnotatorSubprocessor:expandConcepts:309) loading ontology: http://purl.org/dc/terms/
[ WARN] 2017-11-21 22:02:33,574 (org.dataone.cn.indexer.annotation.AnnotatorSubprocessor:expandConcepts:309) loading ontology: http://www.w3.org/2006/time
[ WARN] 2017-11-21 22:02:33,823 (org.dataone.cn.indexer.annotation.AnnotatorSubprocessor:expandConcepts:309) loading ontology: http://purl.dataone.org/ontologies/observation/d1-ECSO.owl
[ERROR] 2017-11-21 22:02:33,840 (org.dataone.cn.indexer.annotation.AnnotatorSubprocessor:parseAnnotation:277) Problem exapnding concept: http://ecoinformatics.org/oboe/oboe.1.0/oboe-characteristics.owl#Mass
org.apache.jena.atlas.web.HttpException: javax.net.ssl.SSLException: hostname in certificate didn't match: <purl.dataone.org> != <project.dataone.org> OR <project.dataone.org>
at org.apache.jena.riot.web.HttpOp.exec(HttpOp.java:1026)
at org.apache.jena.riot.web.HttpOp.execHttpGet(HttpOp.java:291)
at org.apache.jena.riot.web.HttpOp.execHttpGet(HttpOp.java:326)
at org.apache.jena.riot.stream.LocatorURL.open(LocatorURL.java:46)
at org.apache.jena.riot.stream.StreamManager.openNoMapOrNull(StreamManager.java:138)
at org.apache.jena.riot.stream.StreamManager.open(StreamManager.java:99)
at org.apache.jena.riot.RDFDataMgr.open(RDFDataMgr.java:783)
at org.apache.jena.riot.RDFDataMgr.open(RDFDataMgr.java:772)
at org.apache.jena.riot.RDFDataMgr.parse(RDFDataMgr.java:676)
at org.apache.jena.riot.RDFDataMgr.read(RDFDataMgr.java:211)
at org.apache.jena.riot.RDFDataMgr.read(RDFDataMgr.java:184)
at org.apache.jena.riot.RDFDataMgr.read(RDFDataMgr.java:122)
at org.apache.jena.riot.RDFDataMgr.read(RDFDataMgr.java:113)
at org.apache.jena.riot.adapters.RDFReaderRIOT.read(RDFReaderRIOT.java:77)
at com.hp.hpl.jena.rdf.model.impl.ModelCom.read(ModelCom.java:229)
at com.hp.hpl.jena.ontology.impl.OntModelImpl.readDelegate(OntModelImpl.java:3107)
at com.hp.hpl.jena.ontology.impl.OntModelImpl.read(OntModelImpl.java:2198)
at com.hp.hpl.jena.ontology.impl.OntModelImpl.read(OntModelImpl.java:2122)
at org.dataone.cn.indexer.annotation.AnnotatorSubprocessor.expandConcepts(AnnotatorSubprocessor.java:310)
at org.dataone.cn.indexer.annotation.AnnotatorSubprocessor.parseAnnotation(AnnotatorSubprocessor.java:267)
at org.dataone.cn.indexer.annotation.AnnotatorSubprocessor.processDocument(AnnotatorSubprocessor.java:128)
at org.dataone.cn.indexer.SolrIndexService.processObject(SolrIndexService.java:230)
at org.dataone.cn.indexer.SolrIndexService.insertIntoIndex(SolrIndexService.java:288)
at org.dataone.cn.index.DataONESolrJettyTestBase.addSysAndSciMetaToSolrIndex(DataONESolrJettyTestBase.java:84)
at org.dataone.cn.indexer.annotation.SolrIndexAnnotatorTest.testSystemMetadataEml210AndAnnotation(SolrIndexAnnotatorTest.java:93)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at com.carrotsearch.randomizedtesting.RandomizedRunner.invoke(RandomizedRunner.java:1627)
at com.carrotsearch.randomizedtesting.RandomizedRunner$6.evaluate(RandomizedRunner.java:836)
at com.carrotsearch.randomizedtesting.RandomizedRunner$7.evaluate(RandomizedRunner.java:872)
at com.carrotsearch.randomizedtesting.RandomizedRunner$8.evaluate(RandomizedRunner.java:886)
at com.carrotsearch.randomizedtesting.rules.SystemPropertiesRestoreRule$1.evaluate(SystemPropertiesRestoreRule.java:57)
at org.apache.lucene.util.TestRuleSetupTeardownChained$1.evaluate(TestRuleSetupTeardownChained.java:50)
at org.apache.lucene.util.AbstractBeforeAfterRule$1.evaluate(AbstractBeforeAfterRule.java:46)
at org.apache.lucene.util.TestRuleThreadAndTestName$1.evaluate(TestRuleThreadAndTestName.java:49)
at org.apache.lucene.util.TestRuleIgnoreAfterMaxFailures$1.evaluate(TestRuleIgnoreAfterMaxFailures.java:65)
at org.apache.lucene.util.TestRuleMarkFailure$1.evaluate(TestRuleMarkFailure.java:48)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.ThreadLeakControl$StatementRunner.run(ThreadLeakControl.java:365)
at com.carrotsearch.randomizedtesting.ThreadLeakControl.forkTimeoutingTask(ThreadLeakControl.java:798)
at com.carrotsearch.randomizedtesting.ThreadLeakControl$3.evaluate(ThreadLeakControl.java:458)
at com.carrotsearch.randomizedtesting.RandomizedRunner.runSingleTest(RandomizedRunner.java:845)
at com.carrotsearch.randomizedtesting.RandomizedRunner$3.evaluate(RandomizedRunner.java:747)
at com.carrotsearch.randomizedtesting.RandomizedRunner$4.evaluate(RandomizedRunner.java:781)
at com.carrotsearch.randomizedtesting.RandomizedRunner$5.evaluate(RandomizedRunner.java:792)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.SystemPropertiesRestoreRule$1.evaluate(SystemPropertiesRestoreRule.java:57)
at org.apache.lucene.util.AbstractBeforeAfterRule$1.evaluate(AbstractBeforeAfterRule.java:46)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at org.apache.lucene.util.TestRuleStoreClassName$1.evaluate(TestRuleStoreClassName.java:42)
at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:39)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at org.apache.lucene.util.TestRuleAssertionsRequired$1.evaluate(TestRuleAssertionsRequired.java:54)
at org.apache.lucene.util.TestRuleMarkFailure$1.evaluate(TestRuleMarkFailure.java:48)
at org.apache.lucene.util.TestRuleIgnoreAfterMaxFailures$1.evaluate(TestRuleIgnoreAfterMaxFailures.java:65)
at org.apache.lucene.util.TestRuleIgnoreTestSuites$1.evaluate(TestRuleIgnoreTestSuites.java:55)
at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
at com.carrotsearch.randomizedtesting.ThreadLeakControl$StatementRunner.run(ThreadLeakControl.java:365)
at java.lang.Thread.run(Thread.java:745)
Caused by: javax.net.ssl.SSLException: hostname in certificate didn't match: <purl.dataone.org> != <project.dataone.org> OR <project.dataone.org>
at org.apache.http.conn.ssl.AbstractVerifier.verify(AbstractVerifier.java:231)
at org.apache.http.conn.ssl.BrowserCompatHostnameVerifier.verify(BrowserCompatHostnameVerifier.java:54)
at org.apache.http.conn.ssl.AbstractVerifier.verify(AbstractVerifier.java:152)
at org.apache.http.conn.ssl.AbstractVerifier.verify(AbstractVerifier.java:133)
at org.apache.http.conn.ssl.SSLSocketFactory.verifyHostname(SSLSocketFactory.java:559)
at org.apache.http.conn.ssl.SSLSocketFactory.connectSocket(SSLSocketFactory.java:534)
at org.apache.http.conn.ssl.SSLSocketFactory.connectSocket(SSLSocketFactory.java:401)
at org.apache.http.impl.conn.DefaultClientConnectionOperator.openConnection(DefaultClientConnectionOperator.java:177)
at org.apache.http.impl.conn.ManagedClientConnectionImpl.open(ManagedClientConnectionImpl.java:304)
at org.apache.http.impl.client.DefaultRequestDirector.tryConnect(DefaultRequestDirector.java:611)
at org.apache.http.impl.client.DefaultRequestDirector.execute(DefaultRequestDirector.java:446)
at org.apache.http.impl.client.AbstractHttpClient.doExecute(AbstractHttpClient.java:863)
at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:82)
at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:57)
at org.apache.jena.riot.web.HttpOp.exec(HttpOp.java:1011)
... 63 more
FIELD NAME=id, VALUE=peggym.130.4
FIELD NAME=identifier, VALUE=peggym.130.4
FIELD NAME=seriesId, VALUE=peggym.130
FIELD NAME=formatId, VALUE=eml://ecoinformatics.org/eml-2.1.0
FIELD NAME=formatType, VALUE=METADATA
FIELD NAME=size, VALUE=36281
FIELD NAME=checksum, VALUE=24426711d5385a9ffa583a13d07af2502884932f
FIELD NAME=submitter, VALUE=dataone_integration_test_user
FIELD NAME=checksumAlgorithm, VALUE=SHA-1
FIELD NAME=rightsHolder, VALUE=dataone_integration_test_user
FIELD NAME=replicationAllowed, VALUE=true
FIELD NAME=obsoletes, VALUE=peggym.130.3
FIELD NAME=dateUploaded, VALUE=Wed Aug 31 15:59:50 KST 2011
FIELD NAME=updateDate, VALUE=Wed Aug 31 15:59:50 KST 2011
FIELD NAME=dateModified, VALUE=Wed Aug 31 15:59:50 KST 2011
FIELD NAME=datasource, VALUE=test_documents
FIELD NAME=authoritativeMN, VALUE=test_documents
FIELD NAME=readPermission, VALUE=[public, dataone_public_user, dataone_test_user]
FIELD NAME=writePermission, VALUE=[dataone_integration_test_user]
FIELD NAME=isPublic, VALUE=true
FIELD NAME=dataUrl, VALUE=https://cn.dataone.org/cn/v2/resolve/peggym.130.4
FIELD NAME=abstract, VALUE=This metadata record fred, describes a 12-34 TT-12 long-term data document can't frank. This is a test. If this was not a lower, an abstract "double" or 'single' would be present in UPPER (parenthized) this location.
FIELD NAME=keywords, VALUE=[SANParks, South Africa, Augrabies Falls National Park,South Africa, Census data, EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature]
FIELD NAME=title, VALUE=Augrabies falls National Park census data.
FIELD NAME=southBoundCoord, VALUE=26.0
FIELD NAME=northBoundCoord, VALUE=26.0
FIELD NAME=westBoundCoord, VALUE=-120.31121
FIELD NAME=eastBoundCoord, VALUE=-120.31121
FIELD NAME=site, VALUE=[Agulhas falls national Park]
FIELD NAME=beginDate, VALUE=Thu Jan 01 00:00:00 KST 1998
FIELD NAME=endDate, VALUE=Fri Feb 13 00:00:00 KST 2004
FIELD NAME=author, VALUE=SANParks
FIELD NAME=authorSurName, VALUE=SANParks
FIELD NAME=authorSurNameSort, VALUE=SANParks
FIELD NAME=authorLastName, VALUE=[SANParks, Garcia, Freeman]
FIELD NAME=investigator, VALUE=[SANParks, Garcia, Freeman]
FIELD NAME=origin, VALUE=[SANParks Freddy Garcia, Gordon Freeman, The Awesome Store]
FIELD NAME=contactOrganization, VALUE=[SANParks, The Awesome Store]
FIELD NAME=genus, VALUE=[Antidorcas, Cercopithecus, Diceros, Equus, Giraffa, Oreotragus, Oryz, Papio, Taurotragus, Tragelaphus]
FIELD NAME=species, VALUE=[marsupialis, aethiops, bicornis, hartmannae, camelopardalis, oreotragus, gazella, hamadryas, oryx, strepsiceros]
FIELD NAME=scientificName, VALUE=[Antidorcas marsupialis, Cercopithecus aethiops, Diceros bicornis, Equus hartmannae, Giraffa camelopardalis, Oreotragus oreotragus, Oryz gazella, Papio hamadryas, Taurotragus oryx, Tragelaphus strepsiceros]
FIELD NAME=attributeName, VALUE=[ID, Lat S, Long E, Date, Stratum, Transect, Species, LatS, LongE, Total, Juvenile, L/R, Species, Stratum, Date, SumOfTotal, SumOfJuvenile, Species, Date, SumOfTotal, SumOfJuvenile]
FIELD NAME=attributeDescription, VALUE=[The ID, Lat S, Long E, The date, Stratum, Transect, The name of species, LatS, LongE, The total, Juvenile, L/R, The name of species, Stratum, The date, Sum of the total, Sum of juvenile, The name of species, The date, The sum of total, Sum of juvenile]
FIELD NAME=attributeUnit, VALUE=[dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless]
FIELD NAME=attribute, VALUE=[ID The ID dimensionless, Lat S Lat S dimensionless, Long E Long E dimensionless, Date The date, Stratum Stratum dimensionless, Transect Transect dimensionless, Species The name of species, LatS LatS dimensionless, LongE LongE dimensionless, Total The total dimensionless, Juvenile Juvenile dimensionless, L/R L/R dimensionless, Species The name of species, Stratum Stratum dimensionless, Date The date, SumOfTotal Sum of the total dimensionless, SumOfJuvenile Sum of juvenile dimensionless, Species The name of species, Date The date, SumOfTotal The sum of total dimensionless, SumOfJuvenile Sum of juvenile dimensionless]
FIELD NAME=fileID, VALUE=https://cn.dataone.org/cn/v2/resolve/peggym.130.4
FIELD NAME=geohash_1, VALUE=[9]
FIELD NAME=geohash_2, VALUE=[9k]
FIELD NAME=geohash_3, VALUE=[9kd]
FIELD NAME=geohash_4, VALUE=[9kd7]
FIELD NAME=geohash_5, VALUE=[9kd7y]
FIELD NAME=geohash_6, VALUE=[9kd7ym]
FIELD NAME=geohash_7, VALUE=[9kd7ym0]
FIELD NAME=geohash_8, VALUE=[9kd7ym0h]
FIELD NAME=geohash_9, VALUE=[9kd7ym0hc]
FIELD NAME=isService, VALUE=false
FIELD NAME=serviceCoupling, VALUE=false
FIELD NAME=sem_annotated_by, VALUE=[annotation.130.4]
FIELD NAME=sem_annotation, VALUE=[http://ecoinformatics.org/oboe/oboe.1.0/oboe-characteristics.owl#Mass]
FIELD NAME=_version_, VALUE=1584714747944632320
annotationValue: http://ecoinformatics.org/oboe/oboe.1.0/oboe-characteristics.owl#Mass
Comparing value for field abstract
Doc Value: This metadata record fred, describes a 12-34 TT-12 long-term data document can't frank. This is a test. If this was not a lower, an abstract "double" or 'single' would be present in UPPER (parenthized) this location.
Solr Value: This metadata record fred, describes a 12-34 TT-12 long-term data document can't frank. This is a test. If this was not a lower, an abstract "double" or 'single' would be present in UPPER (parenthized) this location.
Comparing value for field keywords
Doc Value: [SANParks, South Africa, Augrabies Falls National Park,South Africa, Census data, EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature]
Solr Value: [SANParks, South Africa, Augrabies Falls National Park,South Africa, Census data, EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature]
Comparing value for field title
Doc Value: Augrabies falls National Park census data.
Solr Value: Augrabies falls National Park census data.
Comparing value for field southBoundCoord
Doc Value: 26.0
Solr Value: 26.0
Comparing value for field northBoundCoord
Doc Value: 26.0
Solr Value: 26.0
Comparing value for field westBoundCoord
Doc Value: -120.31121
Solr Value: -120.31121
Comparing value for field eastBoundCoord
Doc Value: -120.31121
Solr Value: -120.31121
Comparing value for field site
Doc Value: [Agulhas falls national Park]
Solr Value: [Agulhas falls national Park]
Comparing value for field beginDate
Doc Value: Thu Jan 01 00:00:00 KST 1998
Solr Value: Thu Jan 01 00:00:00 KST 1998
Comparing value for field endDate
Doc Value: Fri Feb 13 00:00:00 KST 2004
Solr Value: Fri Feb 13 00:00:00 KST 2004
Comparing value for field author
Doc Value: SANParks
Solr Value: SANParks
Comparing value for field authorSurName
Doc Value: SANParks
Solr Value: SANParks
Comparing value for field authorSurNameSort
Doc Value: SANParks
Solr Value: SANParks
Comparing value for field authorLastName
Doc Value: [SANParks, Garcia, Freeman]
Solr Value: [SANParks, Garcia, Freeman]
Comparing value for field investigator
Doc Value: [SANParks, Garcia, Freeman]
Solr Value: [SANParks, Garcia, Freeman]
Comparing value for field origin
Doc Value: [SANParks Freddy Garcia, Gordon Freeman, The Awesome Store]
Solr Value: [SANParks Freddy Garcia, Gordon Freeman, The Awesome Store]
Comparing value for field contactOrganization
Doc Value: [SANParks, The Awesome Store]
Solr Value: [SANParks, The Awesome Store]
Comparing value for field genus
Doc Value: [Antidorcas, Cercopithecus, Diceros, Equus, Giraffa, Oreotragus, Oryz, Papio, Taurotragus, Tragelaphus]
Solr Value: [Antidorcas, Cercopithecus, Diceros, Equus, Giraffa, Oreotragus, Oryz, Papio, Taurotragus, Tragelaphus]
Comparing value for field species
Doc Value: [marsupialis, aethiops, bicornis, hartmannae, camelopardalis, oreotragus, gazella, hamadryas, oryx, strepsiceros]
Solr Value: [marsupialis, aethiops, bicornis, hartmannae, camelopardalis, oreotragus, gazella, hamadryas, oryx, strepsiceros]
Comparing value for field scientificName
Doc Value: [Antidorcas marsupialis, Cercopithecus aethiops, Diceros bicornis, Equus hartmannae, Giraffa camelopardalis, Oreotragus oreotragus, Oryz gazella, Papio hamadryas, Taurotragus oryx, Tragelaphus strepsiceros]
Solr Value: [Antidorcas marsupialis, Cercopithecus aethiops, Diceros bicornis, Equus hartmannae, Giraffa camelopardalis, Oreotragus oreotragus, Oryz gazella, Papio hamadryas, Taurotragus oryx, Tragelaphus strepsiceros]
Comparing value for field attributeName
Doc Value: [ID, Lat S, Long E, Date, Stratum, Transect, Species, LatS, LongE, Total, Juvenile, L/R, Species, Stratum, Date, SumOfTotal, SumOfJuvenile, Species, Date, SumOfTotal, SumOfJuvenile]
Solr Value: [ID, Lat S, Long E, Date, Stratum, Transect, Species, LatS, LongE, Total, Juvenile, L/R, Species, Stratum, Date, SumOfTotal, SumOfJuvenile, Species, Date, SumOfTotal, SumOfJuvenile]
Comparing value for field attributeDescription
Doc Value: [The ID, Lat S, Long E, The date, Stratum, Transect, The name of species, LatS, LongE, The total, Juvenile, L/R, The name of species, Stratum, The date, Sum of the total, Sum of juvenile, The name of species, The date, The sum of total, Sum of juvenile]
Solr Value: [The ID, Lat S, Long E, The date, Stratum, Transect, The name of species, LatS, LongE, The total, Juvenile, L/R, The name of species, Stratum, The date, Sum of the total, Sum of juvenile, The name of species, The date, The sum of total, Sum of juvenile]
Comparing value for field attributeUnit
Doc Value: [dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless]
Solr Value: [dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless]
Comparing value for field attribute
Doc Value: [ID The ID dimensionless, Lat S Lat S dimensionless, Long E Long E dimensionless, Date The date, Stratum Stratum dimensionless, Transect Transect dimensionless, Species The name of species, LatS LatS dimensionless, LongE LongE dimensionless, Total The total dimensionless, Juvenile Juvenile dimensionless, L/R L/R dimensionless, Species The name of species, Stratum Stratum dimensionless, Date The date, SumOfTotal Sum of the total dimensionless, SumOfJuvenile Sum of juvenile dimensionless, Species The name of species, Date The date, SumOfTotal The sum of total dimensionless, SumOfJuvenile Sum of juvenile dimensionless]
Solr Value: [ID The ID dimensionless, Lat S Lat S dimensionless, Long E Long E dimensionless, Date The date, Stratum Stratum dimensionless, Transect Transect dimensionless, Species The name of species, LatS LatS dimensionless, LongE LongE dimensionless, Total The total dimensionless, Juvenile Juvenile dimensionless, L/R L/R dimensionless, Species The name of species, Stratum Stratum dimensionless, Date The date, SumOfTotal Sum of the total dimensionless, SumOfJuvenile Sum of juvenile dimensionless, Species The name of species, Date The date, SumOfTotal The sum of total dimensionless, SumOfJuvenile Sum of juvenile dimensionless]
Comparing value for field fileID
Doc Value: https://cn.dataone.org/cn/v2/resolve/peggym.130.4
Solr Value: https://cn.dataone.org/cn/v2/resolve/peggym.130.4
Comparing value for field text
Comparing value for field geohash_1
Doc Value: [9]
Solr Value: [9]
Comparing value for field geohash_2
Doc Value: [9k]
Solr Value: [9k]
Comparing value for field geohash_3
Doc Value: [9kd]
Solr Value: [9kd]
Comparing value for field geohash_4
Doc Value: [9kd7]
Solr Value: [9kd7]
Comparing value for field geohash_5
Doc Value: [9kd7y]
Solr Value: [9kd7y]
Comparing value for field geohash_6
Doc Value: [9kd7ym]
Solr Value: [9kd7ym]
Comparing value for field geohash_7
Doc Value: [9kd7ym0]
Solr Value: [9kd7ym0]
Comparing value for field geohash_8
Doc Value: [9kd7ym0h]
Solr Value: [9kd7ym0h]
Comparing value for field geohash_9
Doc Value: [9kd7ym0hc]
Solr Value: [9kd7ym0hc]
Comparing value for field isService
Doc Value: false
Solr Value: false
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 9.775 sec - in org.dataone.cn.indexer.annotation.SolrIndexAnnotatorTest
Running org.dataone.cn.index.SolrIndexBatchAddTest
Creating dataDir: /tmp/org.dataone.cn.index.SolrIndexBatchAddTest_274825F044A38E0B-001/init-core-data-001
[ WARN] 2017-11-21 22:02:35,038 (org.apache.solr.core.SolrResourceLoader:addToClassLoader:191) Can't find (or read) directory to add to classloader: lib (resolved as: /var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/lib).
[ WARN] 2017-11-21 22:02:35,332 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class SpatialRecursivePrefixTreeFieldType
[ WARN] 2017-11-21 22:02:35,333 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class BBoxField
[ WARN] 2017-11-21 22:02:35,370 (org.apache.solr.core.SolrCore:initIndex:541) [collection1] Solr index directory '/var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/collection1/data/index' doesn't exist. Creating new index...
[ WARN] 2017-11-21 22:02:35,393 (org.apache.solr.rest.ManagedResource:reloadFromStorage:182) No stored data found for /schema/analysis/synonyms/english
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 1.687 sec - in org.dataone.cn.index.SolrIndexBatchAddTest
Running org.dataone.cn.index.SolrSearchIndexQueryTest
Creating dataDir: /tmp/org.dataone.cn.index.SolrSearchIndexQueryTest_24B529D62DCFEEE4-001/init-core-data-001
[ WARN] 2017-11-21 22:02:36,974 (org.apache.solr.core.SolrResourceLoader:addToClassLoader:191) Can't find (or read) directory to add to classloader: lib (resolved as: /var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/lib).
[ WARN] 2017-11-21 22:02:37,348 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class SpatialRecursivePrefixTreeFieldType
[ WARN] 2017-11-21 22:02:37,349 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class BBoxField
[ WARN] 2017-11-21 22:02:37,389 (org.apache.solr.core.SolrCore:initIndex:541) [collection1] Solr index directory '/var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/collection1/data/index' doesn't exist. Creating new index...
[ WARN] 2017-11-21 22:02:37,418 (org.apache.solr.rest.ManagedResource:reloadFromStorage:182) No stored data found for /schema/analysis/synonyms/english
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 2.738 sec - in org.dataone.cn.index.SolrSearchIndexQueryTest
Running org.dataone.cn.index.IndexTaskProcessingIntegrationTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.012 sec - in org.dataone.cn.index.IndexTaskProcessingIntegrationTest
Running org.dataone.cn.index.SolrFieldXPathDryad31Test
Compared fields for: rightsHolder
Expected values: [admin@datadryad.org]
Actual values: [admin@datadryad.org]
Compared fields for: submitter
Expected values: [lozanette@gmail.com]
Actual values: [lozanette@gmail.com]
Compared fields for: fileName
Expected values: []
Actual values: []
Compared fields for: dateUploaded
Expected values: [2012-05-22T19:49:50.000Z]
Actual values: [2012-05-22T19:49:50.000Z]
Compared fields for: seriesId
Expected values: []
Actual values: []
Compared fields for: obsoletedBy
Expected values: []
Actual values: []
Compared fields for: replicaMN
Expected values: []
Actual values: []
Compared fields for: changePermission
Expected values: []
Actual values: []
Compared fields for: readPermission
Expected values: [public]
Actual values: [public]
Compared fields for: checksum
Expected values: [799ab8c72997ad4cbb979e6d6df42d3]
Actual values: [799ab8c72997ad4cbb979e6d6df42d3]
Compared fields for: replicationAllowed
Expected values: []
Actual values: []
Compared fields for: isPublic
Expected values: [true]
Actual values: [true]
Compared fields for: id
Expected values: [http:/dx.doi.org/10.5061/dryad.m4h77]
Actual values: [http:/dx.doi.org/10.5061/dryad.m4h77]
Compared fields for: formatType
Expected values: [METADATA]
Actual values: [METADATA]
Compared fields for: authoritativeMN
Expected values: [urn:node:DRYAD]
Actual values: [urn:node:DRYAD]
Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/http%3A%2Fdx.doi.org%2F10.5061%2Fdryad.m4h77]
Actual values: [https://cn.dataone.org/cn/v2/resolve/http%3A%2Fdx.doi.org%2F10.5061%2Fdryad.m4h77]
Compared fields for: dateModified
Expected values: [2012-06-27T14:30:30.009Z]
Actual values: [2012-06-27T14:30:30.009Z]
Compared fields for: mediaType
Expected values: []
Actual values: []
Compared fields for: checksumAlgorithm
Expected values: [MD5]
Actual values: [MD5]
Compared fields for: mediaTypeProperty
Expected values: []
Actual values: []
Compared fields for: numberReplicas
Expected values: []
Actual values: []
Compared fields for: obsoletes
Expected values: []
Actual values: []
Compared fields for: replicaVerifiedDate
Expected values: []
Actual values: []
Compared fields for: formatId
Expected values: [http://datadryad.org/profile/v3.1]
Actual values: [http://datadryad.org/profile/v3.1]
Compared fields for: preferredReplicationMN
Expected values: []
Actual values: []
Compared fields for: size
Expected values: [3686]
Actual values: [3686]
Compared fields for: datasource
Expected values: [urn:node:DRYAD]
Actual values: [urn:node:DRYAD]
Compared fields for: blockedReplicationMN
Expected values: []
Actual values: []
Compared fields for: writePermission
Expected values: []
Actual values: []
Compared fields for: keywords
Expected values: [kin selection, inclusive fitness theory, worker reproduction, social insect]
Actual values: [kin selection, inclusive fitness theory, worker reproduction, social insect]
Compared fields for: scientificName
Expected values: [Bombus terrestris]
Actual values: [Bombus terrestris]
Compared fields for: author
Expected values: [Zanette, Lorenzo Roberto Sgobaro]
Actual values: [Zanette, Lorenzo Roberto Sgobaro]
Compared fields for: authorSurName
Expected values: [Zanette]
Actual values: [Zanette]
Compared fields for: origin
Expected values: [Zanette, Lorenzo Roberto Sgobaro, Miller, Sophie D. L., Faria, Christiana M. A., Almond, Edd J., Huggins, Tim J., Jordan, William C., Bourke, Andrew F. G.]
Actual values: [Zanette, Lorenzo Roberto Sgobaro, Miller, Sophie D. L., Faria, Christiana M. A., Almond, Edd J., Huggins, Tim J., Jordan, William C., Bourke, Andrew F. G.]
Compared fields for: abstract
Expected values: [Worker policing (mutual repression of reproduction) in the eusocial Hymenoptera represents a leading example of how coercion can facilitate cooperation. The occurrence of worker policing in โprimitivelyโ eusocial species with low mating frequencies, which lack relatedness differences conducive to policing, suggests that separate factors may underlie the origin and maintenance of worker policing. We tested this hypothesis by investigating conflict over male parentage in the primitively eusocial, monandrous bumblebee, Bombus terrestris. Using observations, experiments, and microsatellite genotyping, we found that: (a) worker- but not queen-laid male eggs are nearly all eaten (by queens, reproductive, and nonreproductive workers) soon after being laid, so accounting for low observed frequencies of larval and adult worker-produced males; (b) queen- and worker-laid male eggs have equal viabilities; (c) workers discriminate between queen- and worker-laid eggs using cues on eggs and egg cells that almost certainly originate from queens. The cooccurrence in B. terrestris of these three key elements of โclassicalโ worker policing as found in the highly eusocial, polyandrous honeybees provides novel support for the hypothesis that worker policing can originate in the absence of relatedness differences maintaining it. Worker policing in B. terrestris almost certainly arose via reproductive competition among workers, that is, as "selfish" policing.]
Actual values: [Worker policing (mutual repression of reproduction) in the eusocial Hymenoptera represents a leading example of how coercion can facilitate cooperation. The occurrence of worker policing in โprimitivelyโ eusocial species with low mating frequencies, which lack relatedness differences conducive to policing, suggests that separate factors may underlie the origin and maintenance of worker policing. We tested this hypothesis by investigating conflict over male parentage in the primitively eusocial, monandrous bumblebee, Bombus terrestris. Using observations, experiments, and microsatellite genotyping, we found that: (a) worker- but not queen-laid male eggs are nearly all eaten (by queens, reproductive, and nonreproductive workers) soon after being laid, so accounting for low observed frequencies of larval and adult worker-produced males; (b) queen- and worker-laid male eggs have equal viabilities; (c) workers discriminate between queen- and worker-laid eggs using cues on eggs and egg cells that almost certainly originate from queens. The cooccurrence in B. terrestris of these three key elements of โclassicalโ worker policing as found in the highly eusocial, polyandrous honeybees provides novel support for the hypothesis that worker policing can originate in the absence of relatedness differences maintaining it. Worker policing in B. terrestris almost certainly arose via reproductive competition among workers, that is, as "selfish" policing.]
Compared fields for: title
Expected values: [Data from: Reproductive conflict in bumblebees and the evolution of worker policing]
Actual values: [Data from: Reproductive conflict in bumblebees and the evolution of worker policing]
Compared fields for: pubDate
Expected values: [2012-05-22T19:49:50.000Z]
Actual values: [2012-05-22T19:49:50.000Z]
Compared fields for: authorGivenNameSort
Expected values: [Lorenzo Roberto Sgobaro]
Actual values: [Lorenzo Roberto Sgobaro]
Compared fields for: investigator
Expected values: [Zanette, Lorenzo Roberto Sgobaro, Miller, Sophie D. L., Faria, Christiana M. A., Almond, Edd J., Huggins, Tim J., Jordan, William C., Bourke, Andrew F. G.]
Actual values: [Zanette, Lorenzo Roberto Sgobaro, Miller, Sophie D. L., Faria, Christiana M. A., Almond, Edd J., Huggins, Tim J., Jordan, William C., Bourke, Andrew F. G.]
Compared fields for: site
Expected values: [United Kingdom]
Actual values: [United Kingdom]
Compared fields for: authorSurNameSort
Expected values: [Zanette]
Actual values: [Zanette]
Compared fields for: authorGivenName
Expected values: [Lorenzo Roberto Sgobaro]
Actual values: [Lorenzo Roberto Sgobaro]
Compared fields for: text
Expected values: [package Zanette, Lorenzo Roberto Sgobaro Miller, Sophie D. L. Faria, Christiana M. A. Almond, Edd J. Huggins, Tim J. Jordan, William C. Bourke, Andrew F. G. 2012-05-22T19:49:50Z 2012-05-22T19:49:50Z Data from: Reproductive conflict in bumblebees and the evolution of worker policing http://dx.doi.org/10.5061/dryad.m4h77 Worker policing (mutual repression of reproduction) in the eusocial Hymenoptera represents a leading example of how coercion can facilitate cooperation. The occurrence of worker policing in โprimitivelyโ eusocial species with low mating frequencies, which lack relatedness differences conducive to policing, suggests that separate factors may underlie the origin and maintenance of worker policing. We tested this hypothesis by investigating conflict over male parentage in the primitively eusocial, monandrous bumblebee, Bombus terrestris. Using observations, experiments, and microsatellite genotyping, we found that: (a) worker- but not queen-laid male eggs are nearly all eaten (by queens, reproductive, and nonreproductive workers) soon after being laid, so accounting for low observed frequencies of larval and adult worker-produced males; (b) queen- and worker-laid male eggs have equal viabilities; (c) workers discriminate between queen- and worker-laid eggs using cues on eggs and egg cells that almost certainly originate from queens. The cooccurrence in B. terrestris of these three key elements of โclassicalโ worker policing as found in the highly eusocial, polyandrous honeybees provides novel support for the hypothesis that worker policing can originate in the absence of relatedness differences maintaining it. Worker policing in B. terrestris almost certainly arose via reproductive competition among workers, that is, as "selfish" policing. kin selection inclusive fitness theory worker reproduction social insect Bombus terrestris United Kingdom http://dx.doi.org/10.1111/j.1558-5646.2012.01709.x Evolution http://dx.doi.org/10.5061/dryad.m4h77/1http://dx.doi.org/10.5061/dryad.m4h77/2http://dx.doi.org/10.5061/dryad.m4h77/3http://dx.doi.org/10.5061/dryad.m4h77/4http://dx.doi.org/10.5061/dryad.m4h77/5http://dx.doi.org/10.5061/dryad.m4h77/6 http:/dx.doi.org/10.5061/dryad.m4h77]
Actual values: [package Zanette, Lorenzo Roberto Sgobaro Miller, Sophie D. L. Faria, Christiana M. A. Almond, Edd J. Huggins, Tim J. Jordan, William C. Bourke, Andrew F. G. 2012-05-22T19:49:50Z 2012-05-22T19:49:50Z Data from: Reproductive conflict in bumblebees and the evolution of worker policing http://dx.doi.org/10.5061/dryad.m4h77 Worker policing (mutual repression of reproduction) in the eusocial Hymenoptera represents a leading example of how coercion can facilitate cooperation. The occurrence of worker policing in โprimitivelyโ eusocial species with low mating frequencies, which lack relatedness differences conducive to policing, suggests that separate factors may underlie the origin and maintenance of worker policing. We tested this hypothesis by investigating conflict over male parentage in the primitively eusocial, monandrous bumblebee, Bombus terrestris. Using observations, experiments, and microsatellite genotyping, we found that: (a) worker- but not queen-laid male eggs are nearly all eaten (by queens, reproductive, and nonreproductive workers) soon after being laid, so accounting for low observed frequencies of larval and adult worker-produced males; (b) queen- and worker-laid male eggs have equal viabilities; (c) workers discriminate between queen- and worker-laid eggs using cues on eggs and egg cells that almost certainly originate from queens. The cooccurrence in B. terrestris of these three key elements of โclassicalโ worker policing as found in the highly eusocial, polyandrous honeybees provides novel support for the hypothesis that worker policing can originate in the absence of relatedness differences maintaining it. Worker policing in B. terrestris almost certainly arose via reproductive competition among workers, that is, as "selfish" policing. kin selection inclusive fitness theory worker reproduction social insect Bombus terrestris United Kingdom http://dx.doi.org/10.1111/j.1558-5646.2012.01709.x Evolution http://dx.doi.org/10.5061/dryad.m4h77/1http://dx.doi.org/10.5061/dryad.m4h77/2http://dx.doi.org/10.5061/dryad.m4h77/3http://dx.doi.org/10.5061/dryad.m4h77/4http://dx.doi.org/10.5061/dryad.m4h77/5http://dx.doi.org/10.5061/dryad.m4h77/6 http:/dx.doi.org/10.5061/dryad.m4h77]
Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/http%3A%2Fdx.doi.org%2F10.5061%2Fdryad.m4h77]
Actual values: [https://cn.dataone.org/cn/v2/resolve/http%3A%2Fdx.doi.org%2F10.5061%2Fdryad.m4h77]
Compared fields for: rightsHolder
Expected values: [admin@datadryad.org]
Actual values: [admin@datadryad.org]
Compared fields for: submitter
Expected values: [lozanette@gmail.com]
Actual values: [lozanette@gmail.com]
Compared fields for: fileName
Expected values: []
Actual values: []
Compared fields for: dateUploaded
Expected values: [2012-05-22T19:49:50.000Z]
Actual values: [2012-05-22T19:49:50.000Z]
Compared fields for: seriesId
Expected values: []
Actual values: []
Compared fields for: obsoletedBy
Expected values: []
Actual values: []
Compared fields for: replicaMN
Expected values: []
Actual values: []
Compared fields for: changePermission
Expected values: []
Actual values: []
Compared fields for: readPermission
Expected values: [public]
Actual values: [public]
Compared fields for: checksum
Expected values: [3bb3b1de2a4ee6ed227d985f74471265]
Actual values: [3bb3b1de2a4ee6ed227d985f74471265]
Compared fields for: replicationAllowed
Expected values: []
Actual values: []
Compared fields for: isPublic
Expected values: [true]
Actual values: [true]
Compared fields for: id
Expected values: [http:/dx.doi.org/10.5061/dryad.m4h77/1]
Actual values: [http:/dx.doi.org/10.5061/dryad.m4h77/1]
Compared fields for: formatType
Expected values: [METADATA]
Actual values: [METADATA]
Compared fields for: authoritativeMN
Expected values: [urn:node:DRYAD]
Actual values: [urn:node:DRYAD]
Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/http%3A%2Fdx.doi.org%2F10.5061%2Fdryad.m4h77%2F1]
Actual values: [https://cn.dataone.org/cn/v2/resolve/http%3A%2Fdx.doi.org%2F10.5061%2Fdryad.m4h77%2F1]
Compared fields for: dateModified
Expected values: [2012-06-27T14:30:34.473Z]
Actual values: [2012-06-27T14:30:34.473Z]
Compared fields for: mediaType
Expected values: []
Actual values: []
Compared fields for: checksumAlgorithm
Expected values: [MD5]
Actual values: [MD5]
Compared fields for: mediaTypeProperty
Expected values: []
Actual values: []
Compared fields for: numberReplicas
Expected values: []
Actual values: []
Compared fields for: obsoletes
Expected values: []
Actual values: []
Compared fields for: replicaVerifiedDate
Expected values: []
Actual values: []
Compared fields for: formatId
Expected values: [http://datadryad.org/profile/v3.1]
Actual values: [http://datadryad.org/profile/v3.1]
Compared fields for: preferredReplicationMN
Expected values: []
Actual values: []
Compared fields for: size
Expected values: [2042]
Actual values: [2042]
Compared fields for: datasource
Expected values: [urn:node:DRYAD]
Actual values: [urn:node:DRYAD]
Compared fields for: blockedReplicationMN
Expected values: []
Actual values: []
Compared fields for: writePermission
Expected values: []
Actual values: []
Compared fields for: keywords
Expected values: [kin selection, inclusive fitness theory, worker reproduction, social insect]
Actual values: [kin selection, inclusive fitness theory, worker reproduction, social insect]
Compared fields for: scientificName
Expected values: [Bombus terrestris]
Actual values: [Bombus terrestris]
Compared fields for: author
Expected values: [Zanette, Lorenzo Roberto Sgobaro]
Actual values: [Zanette, Lorenzo Roberto Sgobaro]
Compared fields for: authorSurName
Expected values: [Zanette]
Actual values: [Zanette]
Compared fields for: origin
Expected values: [Zanette, Lorenzo Roberto Sgobaro, Miller, Sophie D. L., Faria, Christiana M. A., Almond, Edd J., Huggins, Tim J., Jordan, William C., Bourke, Andrew F. G.]
Actual values: [Zanette, Lorenzo Roberto Sgobaro, Miller, Sophie D. L., Faria, Christiana M. A., Almond, Edd J., Huggins, Tim J., Jordan, William C., Bourke, Andrew F. G.]
Compared fields for: abstract
Expected values: []
Actual values: []
Compared fields for: title
Expected values: [Table A1]
Actual values: [Table A1]
Compared fields for: pubDate
Expected values: [2012-05-22T19:49:50.000Z]
Actual values: [2012-05-22T19:49:50.000Z]
Compared fields for: authorGivenNameSort
Expected values: [Lorenzo Roberto Sgobaro]
Actual values: [Lorenzo Roberto Sgobaro]
Compared fields for: investigator
Expected values: [Zanette, Lorenzo Roberto Sgobaro, Miller, Sophie D. L., Faria, Christiana M. A., Almond, Edd J., Huggins, Tim J., Jordan, William C., Bourke, Andrew F. G.]
Actual values: [Zanette, Lorenzo Roberto Sgobaro, Miller, Sophie D. L., Faria, Christiana M. A., Almond, Edd J., Huggins, Tim J., Jordan, William C., Bourke, Andrew F. G.]
Compared fields for: site
Expected values: [United Kingdom]
Actual values: [United Kingdom]
Compared fields for: authorSurNameSort
Expected values: [Zanette]
Actual values: [Zanette]
Compared fields for: authorGivenName
Expected values: [Lorenzo Roberto Sgobaro]
Actual values: [Lorenzo Roberto Sgobaro]
Compared fields for: text
Expected values: [file deposited Zanette, Lorenzo Roberto Sgobaro Miller, Sophie D. L. Faria, Christiana M. A. Almond, Edd J. Huggins, Tim J. Jordan, William C. Bourke, Andrew F. G. Table A1 http://dx.doi.org/10.5061/dryad.m4h77/1http://creativecommons.org/publicdomain/zero/1.0/ kin selection inclusive fitness theory worker reproduction social insect Bombus terrestris United Kingdom 2012-05-22T19:49:50Z 2012-06-27T14:30:34Z Made available in DSpace on 2012-05-22T19:49:50Z (GMT). No. of bitstreams: 2
Table A1.txt: 1097 bytes, checksum: 51bb09788be23c41fb1722dd53e84a05 (MD5)
README.txt: 881 bytes, checksum: 676d5b3cb9ad3fc5400431a15bdba044 (MD5) http://dx.doi.org/10.5061/dryad.m4h77 http:/dx.doi.org/10.5061/dryad.m4h77/1]
Actual values: [file deposited Zanette, Lorenzo Roberto Sgobaro Miller, Sophie D. L. Faria, Christiana M. A. Almond, Edd J. Huggins, Tim J. Jordan, William C. Bourke, Andrew F. G. Table A1 http://dx.doi.org/10.5061/dryad.m4h77/1http://creativecommons.org/publicdomain/zero/1.0/ kin selection inclusive fitness theory worker reproduction social insect Bombus terrestris United Kingdom 2012-05-22T19:49:50Z 2012-06-27T14:30:34Z Made available in DSpace on 2012-05-22T19:49:50Z (GMT). No. of bitstreams: 2
Table A1.txt: 1097 bytes, checksum: 51bb09788be23c41fb1722dd53e84a05 (MD5)
README.txt: 881 bytes, checksum: 676d5b3cb9ad3fc5400431a15bdba044 (MD5) http://dx.doi.org/10.5061/dryad.m4h77 http:/dx.doi.org/10.5061/dryad.m4h77/1]
Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/http%3A%2Fdx.doi.org%2F10.5061%2Fdryad.m4h77%2F1]
Actual values: [https://cn.dataone.org/cn/v2/resolve/http%3A%2Fdx.doi.org%2F10.5061%2Fdryad.m4h77%2F1]
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 1.26 sec - in org.dataone.cn.index.SolrFieldXPathDryad31Test
Running org.dataone.cn.index.SolrIndexDeleteTest
Creating dataDir: /tmp/org.dataone.cn.index.SolrIndexDeleteTest_9E2514280B8C9D18-001/init-core-data-001
[ WARN] 2017-11-21 22:02:40,725 (org.apache.solr.core.SolrResourceLoader:addToClassLoader:191) Can't find (or read) directory to add to classloader: lib (resolved as: /var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/lib).
[ WARN] 2017-11-21 22:02:41,129 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class SpatialRecursivePrefixTreeFieldType
[ WARN] 2017-11-21 22:02:41,130 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class BBoxField
[ WARN] 2017-11-21 22:02:41,162 (org.apache.solr.core.SolrCore:initIndex:541) [collection1] Solr index directory '/var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/collection1/data/index' doesn't exist. Creating new index...
[ WARN] 2017-11-21 22:02:41,182 (org.apache.solr.rest.ManagedResource:reloadFromStorage:182) No stored data found for /schema/analysis/synonyms/english
++++++++++++++++++++++++++ start of testArchiveScienceMetadataInPackage
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id22_0_, indextask0_.dateSysMetaModified as dateSysM2_22_0_, indextask0_.deleted as deleted22_0_, indextask0_.formatId as formatId22_0_, indextask0_.nextExecution as nextExec5_22_0_, indextask0_.objectPath as objectPath22_0_, indextask0_.pid as pid22_0_, indextask0_.priority as priority22_0_, indextask0_.status as status22_0_, indextask0_.sysMetadata as sysMeta10_22_0_, indextask0_.taskModifiedDate as taskMod11_22_0_, indextask0_.tryCount as tryCount22_0_, indextask0_.version as version22_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id22_0_, indextask0_.dateSysMetaModified as dateSysM2_22_0_, indextask0_.deleted as deleted22_0_, indextask0_.formatId as formatId22_0_, indextask0_.nextExecution as nextExec5_22_0_, indextask0_.objectPath as objectPath22_0_, indextask0_.pid as pid22_0_, indextask0_.priority as priority22_0_, indextask0_.status as status22_0_, indextask0_.sysMetadata as sysMeta10_22_0_, indextask0_.taskModifiedDate as taskMod11_22_0_, indextask0_.tryCount as tryCount22_0_, indextask0_.version as version22_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id22_0_, indextask0_.dateSysMetaModified as dateSysM2_22_0_, indextask0_.deleted as deleted22_0_, indextask0_.formatId as formatId22_0_, indextask0_.nextExecution as nextExec5_22_0_, indextask0_.objectPath as objectPath22_0_, indextask0_.pid as pid22_0_, indextask0_.priority as priority22_0_, indextask0_.status as status22_0_, indextask0_.sysMetadata as sysMeta10_22_0_, indextask0_.taskModifiedDate as taskMod11_22_0_, indextask0_.tryCount as tryCount22_0_, indextask0_.version as version22_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id22_0_, indextask0_.dateSysMetaModified as dateSysM2_22_0_, indextask0_.deleted as deleted22_0_, indextask0_.formatId as formatId22_0_, indextask0_.nextExecution as nextExec5_22_0_, indextask0_.objectPath as objectPath22_0_, indextask0_.pid as pid22_0_, indextask0_.priority as priority22_0_, indextask0_.status as status22_0_, indextask0_.sysMetadata as sysMeta10_22_0_, indextask0_.taskModifiedDate as taskMod11_22_0_, indextask0_.tryCount as tryCount22_0_, indextask0_.version as version22_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id22_0_, indextask0_.dateSysMetaModified as dateSysM2_22_0_, indextask0_.deleted as deleted22_0_, indextask0_.formatId as formatId22_0_, indextask0_.nextExecution as nextExec5_22_0_, indextask0_.objectPath as objectPath22_0_, indextask0_.pid as pid22_0_, indextask0_.priority as priority22_0_, indextask0_.status as status22_0_, indextask0_.sysMetadata as sysMeta10_22_0_, indextask0_.taskModifiedDate as taskMod11_22_0_, indextask0_.tryCount as tryCount22_0_, indextask0_.version as version22_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id22_0_, indextask0_.dateSysMetaModified as dateSysM2_22_0_, indextask0_.deleted as deleted22_0_, indextask0_.formatId as formatId22_0_, indextask0_.nextExecution as nextExec5_22_0_, indextask0_.objectPath as objectPath22_0_, indextask0_.pid as pid22_0_, indextask0_.priority as priority22_0_, indextask0_.status as status22_0_, indextask0_.sysMetadata as sysMeta10_22_0_, indextask0_.taskModifiedDate as taskMod11_22_0_, indextask0_.tryCount as tryCount22_0_, indextask0_.version as version22_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id22_0_, indextask0_.dateSysMetaModified as dateSysM2_22_0_, indextask0_.deleted as deleted22_0_, indextask0_.formatId as formatId22_0_, indextask0_.nextExecution as nextExec5_22_0_, indextask0_.objectPath as objectPath22_0_, indextask0_.pid as pid22_0_, indextask0_.priority as priority22_0_, indextask0_.status as status22_0_, indextask0_.sysMetadata as sysMeta10_22_0_, indextask0_.taskModifiedDate as taskMod11_22_0_, indextask0_.tryCount as tryCount22_0_, indextask0_.version as version22_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id22_0_, indextask0_.dateSysMetaModified as dateSysM2_22_0_, indextask0_.deleted as deleted22_0_, indextask0_.formatId as formatId22_0_, indextask0_.nextExecution as nextExec5_22_0_, indextask0_.objectPath as objectPath22_0_, indextask0_.pid as pid22_0_, indextask0_.priority as priority22_0_, indextask0_.status as status22_0_, indextask0_.sysMetadata as sysMeta10_22_0_, indextask0_.taskModifiedDate as taskMod11_22_0_, indextask0_.tryCount as tryCount22_0_, indextask0_.version as version22_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id22_0_, indextask0_.dateSysMetaModified as dateSysM2_22_0_, indextask0_.deleted as deleted22_0_, indextask0_.formatId as formatId22_0_, indextask0_.nextExecution as nextExec5_22_0_, indextask0_.objectPath as objectPath22_0_, indextask0_.pid as pid22_0_, indextask0_.priority as priority22_0_, indextask0_.status as status22_0_, indextask0_.sysMetadata as sysMeta10_22_0_, indextask0_.taskModifiedDate as taskMod11_22_0_, indextask0_.tryCount as tryCount22_0_, indextask0_.version as version22_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@34e7f935
[Ljava.lang.StackTraceElement;@38f7883e
Hibernate: select indextask0_.id as id22_0_, indextask0_.dateSysMetaModified as dateSysM2_22_0_, indextask0_.deleted as deleted22_0_, indextask0_.formatId as formatId22_0_, indextask0_.nextExecution as nextExec5_22_0_, indextask0_.objectPath as objectPath22_0_, indextask0_.pid as pid22_0_, indextask0_.priority as priority22_0_, indextask0_.status as status22_0_, indextask0_.sysMetadata as sysMeta10_22_0_, indextask0_.taskModifiedDate as taskMod11_22_0_, indextask0_.tryCount as tryCount22_0_, indextask0_.version as version22_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id22_0_, indextask0_.dateSysMetaModified as dateSysM2_22_0_, indextask0_.deleted as deleted22_0_, indextask0_.formatId as formatId22_0_, indextask0_.nextExecution as nextExec5_22_0_, indextask0_.objectPath as objectPath22_0_, indextask0_.pid as pid22_0_, indextask0_.priority as priority22_0_, indextask0_.status as status22_0_, indextask0_.sysMetadata as sysMeta10_22_0_, indextask0_.taskModifiedDate as taskMod11_22_0_, indextask0_.tryCount as tryCount22_0_, indextask0_.version as version22_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id22_0_, indextask0_.dateSysMetaModified as dateSysM2_22_0_, indextask0_.deleted as deleted22_0_, indextask0_.formatId as formatId22_0_, indextask0_.nextExecution as nextExec5_22_0_, indextask0_.objectPath as objectPath22_0_, indextask0_.pid as pid22_0_, indextask0_.priority as priority22_0_, indextask0_.status as status22_0_, indextask0_.sysMetadata as sysMeta10_22_0_, indextask0_.taskModifiedDate as taskMod11_22_0_, indextask0_.tryCount as tryCount22_0_, indextask0_.version as version22_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id22_0_, indextask0_.dateSysMetaModified as dateSysM2_22_0_, indextask0_.deleted as deleted22_0_, indextask0_.formatId as formatId22_0_, indextask0_.nextExecution as nextExec5_22_0_, indextask0_.objectPath as objectPath22_0_, indextask0_.pid as pid22_0_, indextask0_.priority as priority22_0_, indextask0_.status as status22_0_, indextask0_.sysMetadata as sysMeta10_22_0_, indextask0_.taskModifiedDate as taskMod11_22_0_, indextask0_.tryCount as tryCount22_0_, indextask0_.version as version22_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id22_, indextask0_.dateSysMetaModified as dateSysM2_22_, indextask0_.deleted as deleted22_, indextask0_.formatId as formatId22_, indextask0_.nextExecution as nextExec5_22_, indextask0_.objectPath as objectPath22_, indextask0_.pid as pid22_, indextask0_.priority as priority22_, indextask0_.status as status22_, indextask0_.sysMetadata as sysMeta10_22_, indextask0_.taskModifiedDate as taskMod11_22_, indextask0_.tryCount as tryCount22_, indextask0_.version as version22_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@57609101
Hibernate: select indextask0_.id as id22_0_, indextask0_.dateSysMetaModified as dateSysM2_22_0_, indextask0_.deleted as deleted22_0_, indextask0_.formatId as formatId22_0_, indextask0_.nextExecution as nextExec5_22_0_, indextask0_.objectPath as objectPath22_0_, indextask0_.pid as pid22_0_, indextask0_.priority as priority22_0_, indextask0_.status as status22_0_, indextask0_.sysMetadata as sysMeta10_22_0_, indextask0_.taskModifiedDate as taskMod11_22_0_, indextask0_.tryCount as tryCount22_0_, indextask0_.version as version22_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
++++++++++++++++++++++++++ end of testArchiveScienceMetadataInPackage
++++++++++++++++++++++++++ start of testArchiveDataInPackage
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id24_0_, indextask0_.dateSysMetaModified as dateSysM2_24_0_, indextask0_.deleted as deleted24_0_, indextask0_.formatId as formatId24_0_, indextask0_.nextExecution as nextExec5_24_0_, indextask0_.objectPath as objectPath24_0_, indextask0_.pid as pid24_0_, indextask0_.priority as priority24_0_, indextask0_.status as status24_0_, indextask0_.sysMetadata as sysMeta10_24_0_, indextask0_.taskModifiedDate as taskMod11_24_0_, indextask0_.tryCount as tryCount24_0_, indextask0_.version as version24_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id24_0_, indextask0_.dateSysMetaModified as dateSysM2_24_0_, indextask0_.deleted as deleted24_0_, indextask0_.formatId as formatId24_0_, indextask0_.nextExecution as nextExec5_24_0_, indextask0_.objectPath as objectPath24_0_, indextask0_.pid as pid24_0_, indextask0_.priority as priority24_0_, indextask0_.status as status24_0_, indextask0_.sysMetadata as sysMeta10_24_0_, indextask0_.taskModifiedDate as taskMod11_24_0_, indextask0_.tryCount as tryCount24_0_, indextask0_.version as version24_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id24_0_, indextask0_.dateSysMetaModified as dateSysM2_24_0_, indextask0_.deleted as deleted24_0_, indextask0_.formatId as formatId24_0_, indextask0_.nextExecution as nextExec5_24_0_, indextask0_.objectPath as objectPath24_0_, indextask0_.pid as pid24_0_, indextask0_.priority as priority24_0_, indextask0_.status as status24_0_, indextask0_.sysMetadata as sysMeta10_24_0_, indextask0_.taskModifiedDate as taskMod11_24_0_, indextask0_.tryCount as tryCount24_0_, indextask0_.version as version24_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id24_0_, indextask0_.dateSysMetaModified as dateSysM2_24_0_, indextask0_.deleted as deleted24_0_, indextask0_.formatId as formatId24_0_, indextask0_.nextExecution as nextExec5_24_0_, indextask0_.objectPath as objectPath24_0_, indextask0_.pid as pid24_0_, indextask0_.priority as priority24_0_, indextask0_.status as status24_0_, indextask0_.sysMetadata as sysMeta10_24_0_, indextask0_.taskModifiedDate as taskMod11_24_0_, indextask0_.tryCount as tryCount24_0_, indextask0_.version as version24_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id24_0_, indextask0_.dateSysMetaModified as dateSysM2_24_0_, indextask0_.deleted as deleted24_0_, indextask0_.formatId as formatId24_0_, indextask0_.nextExecution as nextExec5_24_0_, indextask0_.objectPath as objectPath24_0_, indextask0_.pid as pid24_0_, indextask0_.priority as priority24_0_, indextask0_.status as status24_0_, indextask0_.sysMetadata as sysMeta10_24_0_, indextask0_.taskModifiedDate as taskMod11_24_0_, indextask0_.tryCount as tryCount24_0_, indextask0_.version as version24_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id24_0_, indextask0_.dateSysMetaModified as dateSysM2_24_0_, indextask0_.deleted as deleted24_0_, indextask0_.formatId as formatId24_0_, indextask0_.nextExecution as nextExec5_24_0_, indextask0_.objectPath as objectPath24_0_, indextask0_.pid as pid24_0_, indextask0_.priority as priority24_0_, indextask0_.status as status24_0_, indextask0_.sysMetadata as sysMeta10_24_0_, indextask0_.taskModifiedDate as taskMod11_24_0_, indextask0_.tryCount as tryCount24_0_, indextask0_.version as version24_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id24_0_, indextask0_.dateSysMetaModified as dateSysM2_24_0_, indextask0_.deleted as deleted24_0_, indextask0_.formatId as formatId24_0_, indextask0_.nextExecution as nextExec5_24_0_, indextask0_.objectPath as objectPath24_0_, indextask0_.pid as pid24_0_, indextask0_.priority as priority24_0_, indextask0_.status as status24_0_, indextask0_.sysMetadata as sysMeta10_24_0_, indextask0_.taskModifiedDate as taskMod11_24_0_, indextask0_.tryCount as tryCount24_0_, indextask0_.version as version24_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id24_0_, indextask0_.dateSysMetaModified as dateSysM2_24_0_, indextask0_.deleted as deleted24_0_, indextask0_.formatId as formatId24_0_, indextask0_.nextExecution as nextExec5_24_0_, indextask0_.objectPath as objectPath24_0_, indextask0_.pid as pid24_0_, indextask0_.priority as priority24_0_, indextask0_.status as status24_0_, indextask0_.sysMetadata as sysMeta10_24_0_, indextask0_.taskModifiedDate as taskMod11_24_0_, indextask0_.tryCount as tryCount24_0_, indextask0_.version as version24_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id24_0_, indextask0_.dateSysMetaModified as dateSysM2_24_0_, indextask0_.deleted as deleted24_0_, indextask0_.formatId as formatId24_0_, indextask0_.nextExecution as nextExec5_24_0_, indextask0_.objectPath as objectPath24_0_, indextask0_.pid as pid24_0_, indextask0_.priority as priority24_0_, indextask0_.status as status24_0_, indextask0_.sysMetadata as sysMeta10_24_0_, indextask0_.taskModifiedDate as taskMod11_24_0_, indextask0_.tryCount as tryCount24_0_, indextask0_.version as version24_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@26e6c50b
[Ljava.lang.StackTraceElement;@2f6c2ce0
Hibernate: select indextask0_.id as id24_0_, indextask0_.dateSysMetaModified as dateSysM2_24_0_, indextask0_.deleted as deleted24_0_, indextask0_.formatId as formatId24_0_, indextask0_.nextExecution as nextExec5_24_0_, indextask0_.objectPath as objectPath24_0_, indextask0_.pid as pid24_0_, indextask0_.priority as priority24_0_, indextask0_.status as status24_0_, indextask0_.sysMetadata as sysMeta10_24_0_, indextask0_.taskModifiedDate as taskMod11_24_0_, indextask0_.tryCount as tryCount24_0_, indextask0_.version as version24_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id24_0_, indextask0_.dateSysMetaModified as dateSysM2_24_0_, indextask0_.deleted as deleted24_0_, indextask0_.formatId as formatId24_0_, indextask0_.nextExecution as nextExec5_24_0_, indextask0_.objectPath as objectPath24_0_, indextask0_.pid as pid24_0_, indextask0_.priority as priority24_0_, indextask0_.status as status24_0_, indextask0_.sysMetadata as sysMeta10_24_0_, indextask0_.taskModifiedDate as taskMod11_24_0_, indextask0_.tryCount as tryCount24_0_, indextask0_.version as version24_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id24_0_, indextask0_.dateSysMetaModified as dateSysM2_24_0_, indextask0_.deleted as deleted24_0_, indextask0_.formatId as formatId24_0_, indextask0_.nextExecution as nextExec5_24_0_, indextask0_.objectPath as objectPath24_0_, indextask0_.pid as pid24_0_, indextask0_.priority as priority24_0_, indextask0_.status as status24_0_, indextask0_.sysMetadata as sysMeta10_24_0_, indextask0_.taskModifiedDate as taskMod11_24_0_, indextask0_.tryCount as tryCount24_0_, indextask0_.version as version24_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id24_0_, indextask0_.dateSysMetaModified as dateSysM2_24_0_, indextask0_.deleted as deleted24_0_, indextask0_.formatId as formatId24_0_, indextask0_.nextExecution as nextExec5_24_0_, indextask0_.objectPath as objectPath24_0_, indextask0_.pid as pid24_0_, indextask0_.priority as priority24_0_, indextask0_.status as status24_0_, indextask0_.sysMetadata as sysMeta10_24_0_, indextask0_.taskModifiedDate as taskMod11_24_0_, indextask0_.tryCount as tryCount24_0_, indextask0_.version as version24_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id24_, indextask0_.dateSysMetaModified as dateSysM2_24_, indextask0_.deleted as deleted24_, indextask0_.formatId as formatId24_, indextask0_.nextExecution as nextExec5_24_, indextask0_.objectPath as objectPath24_, indextask0_.pid as pid24_, indextask0_.priority as priority24_, indextask0_.status as status24_, indextask0_.sysMetadata as sysMeta10_24_, indextask0_.taskModifiedDate as taskMod11_24_, indextask0_.tryCount as tryCount24_, indextask0_.version as version24_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@3fb3d040
[Ljava.lang.StackTraceElement;@345a1d1f
Hibernate: select indextask0_.id as id24_0_, indextask0_.dateSysMetaModified as dateSysM2_24_0_, indextask0_.deleted as deleted24_0_, indextask0_.formatId as formatId24_0_, indextask0_.nextExecution as nextExec5_24_0_, indextask0_.objectPath as objectPath24_0_, indextask0_.pid as pid24_0_, indextask0_.priority as priority24_0_, indextask0_.status as status24_0_, indextask0_.sysMetadata as sysMeta10_24_0_, indextask0_.taskModifiedDate as taskMod11_24_0_, indextask0_.tryCount as tryCount24_0_, indextask0_.version as version24_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
++++++++++++++++++++++++++ end of testArchiveDataInPackage
++++++++++++++++++++++++++ start of testDeleteTwoOverlappedDataPackage
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@2d64b9ab
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@4aecb54e
[Ljava.lang.StackTraceElement;@4ab1d453
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
[Ljava.lang.StackTraceElement;@1320d977
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@61cfb72f
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id26_, indextask0_.dateSysMetaModified as dateSysM2_26_, indextask0_.deleted as deleted26_, indextask0_.formatId as formatId26_, indextask0_.nextExecution as nextExec5_26_, indextask0_.objectPath as objectPath26_, indextask0_.pid as pid26_, indextask0_.priority as priority26_, indextask0_.status as status26_, indextask0_.sysMetadata as sysMeta10_26_, indextask0_.taskModifiedDate as taskMod11_26_, indextask0_.tryCount as tryCount26_, indextask0_.version as version26_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id26_0_, indextask0_.dateSysMetaModified as dateSysM2_26_0_, indextask0_.deleted as deleted26_0_, indextask0_.formatId as formatId26_0_, indextask0_.nextExecution as nextExec5_26_0_, indextask0_.objectPath as objectPath26_0_, indextask0_.pid as pid26_0_, indextask0_.priority as priority26_0_, indextask0_.status as status26_0_, indextask0_.sysMetadata as sysMeta10_26_0_, indextask0_.taskModifiedDate as taskMod11_26_0_, indextask0_.tryCount as tryCount26_0_, indextask0_.version as version26_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
++++++++++++++++++++++++++ end of testDeleteTwoOverlappedDataPackage
++++++++++++++++++++++++++ start of testDeleteDataPackage
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@73fbe98f
[Ljava.lang.StackTraceElement;@430c9ab
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id28_, indextask0_.dateSysMetaModified as dateSysM2_28_, indextask0_.deleted as deleted28_, indextask0_.formatId as formatId28_, indextask0_.nextExecution as nextExec5_28_, indextask0_.objectPath as objectPath28_, indextask0_.pid as pid28_, indextask0_.priority as priority28_, indextask0_.status as status28_, indextask0_.sysMetadata as sysMeta10_28_, indextask0_.taskModifiedDate as taskMod11_28_, indextask0_.tryCount as tryCount28_, indextask0_.version as version28_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id28_0_, indextask0_.dateSysMetaModified as dateSysM2_28_0_, indextask0_.deleted as deleted28_0_, indextask0_.formatId as formatId28_0_, indextask0_.nextExecution as nextExec5_28_0_, indextask0_.objectPath as objectPath28_0_, indextask0_.pid as pid28_0_, indextask0_.priority as priority28_0_, indextask0_.status as status28_0_, indextask0_.sysMetadata as sysMeta10_28_0_, indextask0_.taskModifiedDate as taskMod11_28_0_, indextask0_.tryCount as tryCount28_0_, indextask0_.version as version28_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
++++++++++++++++++++++++++ end of testDeleteDataPackage
++++++++++++++++++++++++++ start of testDeleteDataPackageWithDuplicatedRelationship
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id30_0_, indextask0_.dateSysMetaModified as dateSysM2_30_0_, indextask0_.deleted as deleted30_0_, indextask0_.formatId as formatId30_0_, indextask0_.nextExecution as nextExec5_30_0_, indextask0_.objectPath as objectPath30_0_, indextask0_.pid as pid30_0_, indextask0_.priority as priority30_0_, indextask0_.status as status30_0_, indextask0_.sysMetadata as sysMeta10_30_0_, indextask0_.taskModifiedDate as taskMod11_30_0_, indextask0_.tryCount as tryCount30_0_, indextask0_.version as version30_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id30_0_, indextask0_.dateSysMetaModified as dateSysM2_30_0_, indextask0_.deleted as deleted30_0_, indextask0_.formatId as formatId30_0_, indextask0_.nextExecution as nextExec5_30_0_, indextask0_.objectPath as objectPath30_0_, indextask0_.pid as pid30_0_, indextask0_.priority as priority30_0_, indextask0_.status as status30_0_, indextask0_.sysMetadata as sysMeta10_30_0_, indextask0_.taskModifiedDate as taskMod11_30_0_, indextask0_.tryCount as tryCount30_0_, indextask0_.version as version30_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id30_0_, indextask0_.dateSysMetaModified as dateSysM2_30_0_, indextask0_.deleted as deleted30_0_, indextask0_.formatId as formatId30_0_, indextask0_.nextExecution as nextExec5_30_0_, indextask0_.objectPath as objectPath30_0_, indextask0_.pid as pid30_0_, indextask0_.priority as priority30_0_, indextask0_.status as status30_0_, indextask0_.sysMetadata as sysMeta10_30_0_, indextask0_.taskModifiedDate as taskMod11_30_0_, indextask0_.tryCount as tryCount30_0_, indextask0_.version as version30_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id30_0_, indextask0_.dateSysMetaModified as dateSysM2_30_0_, indextask0_.deleted as deleted30_0_, indextask0_.formatId as formatId30_0_, indextask0_.nextExecution as nextExec5_30_0_, indextask0_.objectPath as objectPath30_0_, indextask0_.pid as pid30_0_, indextask0_.priority as priority30_0_, indextask0_.status as status30_0_, indextask0_.sysMetadata as sysMeta10_30_0_, indextask0_.taskModifiedDate as taskMod11_30_0_, indextask0_.tryCount as tryCount30_0_, indextask0_.version as version30_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id30_0_, indextask0_.dateSysMetaModified as dateSysM2_30_0_, indextask0_.deleted as deleted30_0_, indextask0_.formatId as formatId30_0_, indextask0_.nextExecution as nextExec5_30_0_, indextask0_.objectPath as objectPath30_0_, indextask0_.pid as pid30_0_, indextask0_.priority as priority30_0_, indextask0_.status as status30_0_, indextask0_.sysMetadata as sysMeta10_30_0_, indextask0_.taskModifiedDate as taskMod11_30_0_, indextask0_.tryCount as tryCount30_0_, indextask0_.version as version30_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id30_0_, indextask0_.dateSysMetaModified as dateSysM2_30_0_, indextask0_.deleted as deleted30_0_, indextask0_.formatId as formatId30_0_, indextask0_.nextExecution as nextExec5_30_0_, indextask0_.objectPath as objectPath30_0_, indextask0_.pid as pid30_0_, indextask0_.priority as priority30_0_, indextask0_.status as status30_0_, indextask0_.sysMetadata as sysMeta10_30_0_, indextask0_.taskModifiedDate as taskMod11_30_0_, indextask0_.tryCount as tryCount30_0_, indextask0_.version as version30_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id30_0_, indextask0_.dateSysMetaModified as dateSysM2_30_0_, indextask0_.deleted as deleted30_0_, indextask0_.formatId as formatId30_0_, indextask0_.nextExecution as nextExec5_30_0_, indextask0_.objectPath as objectPath30_0_, indextask0_.pid as pid30_0_, indextask0_.priority as priority30_0_, indextask0_.status as status30_0_, indextask0_.sysMetadata as sysMeta10_30_0_, indextask0_.taskModifiedDate as taskMod11_30_0_, indextask0_.tryCount as tryCount30_0_, indextask0_.version as version30_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id30_0_, indextask0_.dateSysMetaModified as dateSysM2_30_0_, indextask0_.deleted as deleted30_0_, indextask0_.formatId as formatId30_0_, indextask0_.nextExecution as nextExec5_30_0_, indextask0_.objectPath as objectPath30_0_, indextask0_.pid as pid30_0_, indextask0_.priority as priority30_0_, indextask0_.status as status30_0_, indextask0_.sysMetadata as sysMeta10_30_0_, indextask0_.taskModifiedDate as taskMod11_30_0_, indextask0_.tryCount as tryCount30_0_, indextask0_.version as version30_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id30_0_, indextask0_.dateSysMetaModified as dateSysM2_30_0_, indextask0_.deleted as deleted30_0_, indextask0_.formatId as formatId30_0_, indextask0_.nextExecution as nextExec5_30_0_, indextask0_.objectPath as objectPath30_0_, indextask0_.pid as pid30_0_, indextask0_.priority as priority30_0_, indextask0_.status as status30_0_, indextask0_.sysMetadata as sysMeta10_30_0_, indextask0_.taskModifiedDate as taskMod11_30_0_, indextask0_.tryCount as tryCount30_0_, indextask0_.version as version30_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@1931921f
[Ljava.lang.StackTraceElement;@66181d0f
Hibernate: select indextask0_.id as id30_0_, indextask0_.dateSysMetaModified as dateSysM2_30_0_, indextask0_.deleted as deleted30_0_, indextask0_.formatId as formatId30_0_, indextask0_.nextExecution as nextExec5_30_0_, indextask0_.objectPath as objectPath30_0_, indextask0_.pid as pid30_0_, indextask0_.priority as priority30_0_, indextask0_.status as status30_0_, indextask0_.sysMetadata as sysMeta10_30_0_, indextask0_.taskModifiedDate as taskMod11_30_0_, indextask0_.tryCount as tryCount30_0_, indextask0_.version as version30_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id30_0_, indextask0_.dateSysMetaModified as dateSysM2_30_0_, indextask0_.deleted as deleted30_0_, indextask0_.formatId as formatId30_0_, indextask0_.nextExecution as nextExec5_30_0_, indextask0_.objectPath as objectPath30_0_, indextask0_.pid as pid30_0_, indextask0_.priority as priority30_0_, indextask0_.status as status30_0_, indextask0_.sysMetadata as sysMeta10_30_0_, indextask0_.taskModifiedDate as taskMod11_30_0_, indextask0_.tryCount as tryCount30_0_, indextask0_.version as version30_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id30_0_, indextask0_.dateSysMetaModified as dateSysM2_30_0_, indextask0_.deleted as deleted30_0_, indextask0_.formatId as formatId30_0_, indextask0_.nextExecution as nextExec5_30_0_, indextask0_.objectPath as objectPath30_0_, indextask0_.pid as pid30_0_, indextask0_.priority as priority30_0_, indextask0_.status as status30_0_, indextask0_.sysMetadata as sysMeta10_30_0_, indextask0_.taskModifiedDate as taskMod11_30_0_, indextask0_.tryCount as tryCount30_0_, indextask0_.version as version30_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id30_0_, indextask0_.dateSysMetaModified as dateSysM2_30_0_, indextask0_.deleted as deleted30_0_, indextask0_.formatId as formatId30_0_, indextask0_.nextExecution as nextExec5_30_0_, indextask0_.objectPath as objectPath30_0_, indextask0_.pid as pid30_0_, indextask0_.priority as priority30_0_, indextask0_.status as status30_0_, indextask0_.sysMetadata as sysMeta10_30_0_, indextask0_.taskModifiedDate as taskMod11_30_0_, indextask0_.tryCount as tryCount30_0_, indextask0_.version as version30_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id30_0_, indextask0_.dateSysMetaModified as dateSysM2_30_0_, indextask0_.deleted as deleted30_0_, indextask0_.formatId as formatId30_0_, indextask0_.nextExecution as nextExec5_30_0_, indextask0_.objectPath as objectPath30_0_, indextask0_.pid as pid30_0_, indextask0_.priority as priority30_0_, indextask0_.status as status30_0_, indextask0_.sysMetadata as sysMeta10_30_0_, indextask0_.taskModifiedDate as taskMod11_30_0_, indextask0_.tryCount as tryCount30_0_, indextask0_.version as version30_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id30_0_, indextask0_.dateSysMetaModified as dateSysM2_30_0_, indextask0_.deleted as deleted30_0_, indextask0_.formatId as formatId30_0_, indextask0_.nextExecution as nextExec5_30_0_, indextask0_.objectPath as objectPath30_0_, indextask0_.pid as pid30_0_, indextask0_.priority as priority30_0_, indextask0_.status as status30_0_, indextask0_.sysMetadata as sysMeta10_30_0_, indextask0_.taskModifiedDate as taskMod11_30_0_, indextask0_.tryCount as tryCount30_0_, indextask0_.version as version30_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: delete from index_task where id=? and version=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id30_0_, indextask0_.dateSysMetaModified as dateSysM2_30_0_, indextask0_.deleted as deleted30_0_, indextask0_.formatId as formatId30_0_, indextask0_.nextExecution as nextExec5_30_0_, indextask0_.objectPath as objectPath30_0_, indextask0_.pid as pid30_0_, indextask0_.priority as priority30_0_, indextask0_.status as status30_0_, indextask0_.sysMetadata as sysMeta10_30_0_, indextask0_.taskModifiedDate as taskMod11_30_0_, indextask0_.tryCount as tryCount30_0_, indextask0_.version as version30_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id30_0_, indextask0_.dateSysMetaModified as dateSysM2_30_0_, indextask0_.deleted as deleted30_0_, indextask0_.formatId as formatId30_0_, indextask0_.nextExecution as nextExec5_30_0_, indextask0_.objectPath as objectPath30_0_, indextask0_.pid as pid30_0_, indextask0_.priority as priority30_0_, indextask0_.status as status30_0_, indextask0_.sysMetadata as sysMeta10_30_0_, indextask0_.taskModifiedDate as taskMod11_30_0_, indextask0_.tryCount as tryCount30_0_, indextask0_.version as version30_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id30_0_, indextask0_.dateSysMetaModified as dateSysM2_30_0_, indextask0_.deleted as deleted30_0_, indextask0_.formatId as formatId30_0_, indextask0_.nextExecution as nextExec5_30_0_, indextask0_.objectPath as objectPath30_0_, indextask0_.pid as pid30_0_, indextask0_.priority as priority30_0_, indextask0_.status as status30_0_, indextask0_.sysMetadata as sysMeta10_30_0_, indextask0_.taskModifiedDate as taskMod11_30_0_, indextask0_.tryCount as tryCount30_0_, indextask0_.version as version30_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id30_0_, indextask0_.dateSysMetaModified as dateSysM2_30_0_, indextask0_.deleted as deleted30_0_, indextask0_.formatId as formatId30_0_, indextask0_.nextExecution as nextExec5_30_0_, indextask0_.objectPath as objectPath30_0_, indextask0_.pid as pid30_0_, indextask0_.priority as priority30_0_, indextask0_.status as status30_0_, indextask0_.sysMetadata as sysMeta10_30_0_, indextask0_.taskModifiedDate as taskMod11_30_0_, indextask0_.tryCount as tryCount30_0_, indextask0_.version as version30_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id30_0_, indextask0_.dateSysMetaModified as dateSysM2_30_0_, indextask0_.deleted as deleted30_0_, indextask0_.formatId as formatId30_0_, indextask0_.nextExecution as nextExec5_30_0_, indextask0_.objectPath as objectPath30_0_, indextask0_.pid as pid30_0_, indextask0_.priority as priority30_0_, indextask0_.status as status30_0_, indextask0_.sysMetadata as sysMeta10_30_0_, indextask0_.taskModifiedDate as taskMod11_30_0_, indextask0_.tryCount as tryCount30_0_, indextask0_.version as version30_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id30_0_, indextask0_.dateSysMetaModified as dateSysM2_30_0_, indextask0_.deleted as deleted30_0_, indextask0_.formatId as formatId30_0_, indextask0_.nextExecution as nextExec5_30_0_, indextask0_.objectPath as objectPath30_0_, indextask0_.pid as pid30_0_, indextask0_.priority as priority30_0_, indextask0_.status as status30_0_, indextask0_.sysMetadata as sysMeta10_30_0_, indextask0_.taskModifiedDate as taskMod11_30_0_, indextask0_.tryCount as tryCount30_0_, indextask0_.version as version30_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@316cd455
[Ljava.lang.StackTraceElement;@24b258aa
Hibernate: select indextask0_.id as id30_0_, indextask0_.dateSysMetaModified as dateSysM2_30_0_, indextask0_.deleted as deleted30_0_, indextask0_.formatId as formatId30_0_, indextask0_.nextExecution as nextExec5_30_0_, indextask0_.objectPath as objectPath30_0_, indextask0_.pid as pid30_0_, indextask0_.priority as priority30_0_, indextask0_.status as status30_0_, indextask0_.sysMetadata as sysMeta10_30_0_, indextask0_.taskModifiedDate as taskMod11_30_0_, indextask0_.tryCount as tryCount30_0_, indextask0_.version as version30_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
[Ljava.lang.StackTraceElement;@694cb0d6
[Ljava.lang.StackTraceElement;@59bc916b
Hibernate: select indextask0_.id as id30_0_, indextask0_.dateSysMetaModified as dateSysM2_30_0_, indextask0_.deleted as deleted30_0_, indextask0_.formatId as formatId30_0_, indextask0_.nextExecution as nextExec5_30_0_, indextask0_.objectPath as objectPath30_0_, indextask0_.pid as pid30_0_, indextask0_.priority as priority30_0_, indextask0_.status as status30_0_, indextask0_.sysMetadata as sysMeta10_30_0_, indextask0_.taskModifiedDate as taskMod11_30_0_, indextask0_.tryCount as tryCount30_0_, indextask0_.version as version30_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id30_0_, indextask0_.dateSysMetaModified as dateSysM2_30_0_, indextask0_.deleted as deleted30_0_, indextask0_.formatId as formatId30_0_, indextask0_.nextExecution as nextExec5_30_0_, indextask0_.objectPath as objectPath30_0_, indextask0_.pid as pid30_0_, indextask0_.priority as priority30_0_, indextask0_.status as status30_0_, indextask0_.sysMetadata as sysMeta10_30_0_, indextask0_.taskModifiedDate as taskMod11_30_0_, indextask0_.tryCount as tryCount30_0_, indextask0_.version as version30_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@3ba539a7
[Ljava.lang.StackTraceElement;@464b2969
Hibernate: select indextask0_.id as id30_0_, indextask0_.dateSysMetaModified as dateSysM2_30_0_, indextask0_.deleted as deleted30_0_, indextask0_.formatId as formatId30_0_, indextask0_.nextExecution as nextExec5_30_0_, indextask0_.objectPath as objectPath30_0_, indextask0_.pid as pid30_0_, indextask0_.priority as priority30_0_, indextask0_.status as status30_0_, indextask0_.sysMetadata as sysMeta10_30_0_, indextask0_.taskModifiedDate as taskMod11_30_0_, indextask0_.tryCount as tryCount30_0_, indextask0_.version as version30_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id30_0_, indextask0_.dateSysMetaModified as dateSysM2_30_0_, indextask0_.deleted as deleted30_0_, indextask0_.formatId as formatId30_0_, indextask0_.nextExecution as nextExec5_30_0_, indextask0_.objectPath as objectPath30_0_, indextask0_.pid as pid30_0_, indextask0_.priority as priority30_0_, indextask0_.status as status30_0_, indextask0_.sysMetadata as sysMeta10_30_0_, indextask0_.taskModifiedDate as taskMod11_30_0_, indextask0_.tryCount as tryCount30_0_, indextask0_.version as version30_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id30_, indextask0_.dateSysMetaModified as dateSysM2_30_, indextask0_.deleted as deleted30_, indextask0_.formatId as formatId30_, indextask0_.nextExecution as nextExec5_30_, indextask0_.objectPath as objectPath30_, indextask0_.pid as pid30_, indextask0_.priority as priority30_, indextask0_.status as status30_, indextask0_.sysMetadata as sysMeta10_30_, indextask0_.taskModifiedDate as taskMod11_30_, indextask0_.tryCount as tryCount30_, indextask0_.version as version30_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id30_0_, indextask0_.dateSysMetaModified as dateSysM2_30_0_, indextask0_.deleted as deleted30_0_, indextask0_.formatId as formatId30_0_, indextask0_.nextExecution as nextExec5_30_0_, indextask0_.objectPath as objectPath30_0_, indextask0_.pid as pid30_0_, indextask0_.priority as priority30_0_, indextask0_.status as status30_0_, indextask0_.sysMetadata as sysMeta10_30_0_, indextask0_.taskModifiedDate as taskMod11_30_0_, indextask0_.tryCount as tryCount30_0_, indextask0_.version as version30_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
++++++++++++++++++++++++++ end of testDeleteDataPackageWithDuplicatedRelationship
++++++++++++++++++++++++++ start of testDeleteDataPackagesWithComplicatedRelation
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@17546a47
[Ljava.lang.StackTraceElement;@37fe9fc4
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@73a957a4
[Ljava.lang.StackTraceElement;@344c147c
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
[Ljava.lang.StackTraceElement;@6dc4150f
[Ljava.lang.StackTraceElement;@784182b7
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@bd253ff
[Ljava.lang.StackTraceElement;@15f3eab0
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id32_, indextask0_.dateSysMetaModified as dateSysM2_32_, indextask0_.deleted as deleted32_, indextask0_.formatId as formatId32_, indextask0_.nextExecution as nextExec5_32_, indextask0_.objectPath as objectPath32_, indextask0_.pid as pid32_, indextask0_.priority as priority32_, indextask0_.status as status32_, indextask0_.sysMetadata as sysMeta10_32_, indextask0_.taskModifiedDate as taskMod11_32_, indextask0_.tryCount as tryCount32_, indextask0_.version as version32_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id32_0_, indextask0_.dateSysMetaModified as dateSysM2_32_0_, indextask0_.deleted as deleted32_0_, indextask0_.formatId as formatId32_0_, indextask0_.nextExecution as nextExec5_32_0_, indextask0_.objectPath as objectPath32_0_, indextask0_.pid as pid32_0_, indextask0_.priority as priority32_0_, indextask0_.status as status32_0_, indextask0_.sysMetadata as sysMeta10_32_0_, indextask0_.taskModifiedDate as taskMod11_32_0_, indextask0_.tryCount as tryCount32_0_, indextask0_.version as version32_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
++++++++++++++++++++++++++ end of testDeleteDataPackagesWithComplicatedRelation
Hibernate: select indextask0_.id as id34_, indextask0_.dateSysMetaModified as dateSysM2_34_, indextask0_.deleted as deleted34_, indextask0_.formatId as formatId34_, indextask0_.nextExecution as nextExec5_34_, indextask0_.objectPath as objectPath34_, indextask0_.pid as pid34_, indextask0_.priority as priority34_, indextask0_.status as status34_, indextask0_.sysMetadata as sysMeta10_34_, indextask0_.taskModifiedDate as taskMod11_34_, indextask0_.tryCount as tryCount34_, indextask0_.version as version34_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id34_, indextask0_.dateSysMetaModified as dateSysM2_34_, indextask0_.deleted as deleted34_, indextask0_.formatId as formatId34_, indextask0_.nextExecution as nextExec5_34_, indextask0_.objectPath as objectPath34_, indextask0_.pid as pid34_, indextask0_.priority as priority34_, indextask0_.status as status34_, indextask0_.sysMetadata as sysMeta10_34_, indextask0_.taskModifiedDate as taskMod11_34_, indextask0_.tryCount as tryCount34_, indextask0_.version as version34_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id34_, indextask0_.dateSysMetaModified as dateSysM2_34_, indextask0_.deleted as deleted34_, indextask0_.formatId as formatId34_, indextask0_.nextExecution as nextExec5_34_, indextask0_.objectPath as objectPath34_, indextask0_.pid as pid34_, indextask0_.priority as priority34_, indextask0_.status as status34_, indextask0_.sysMetadata as sysMeta10_34_, indextask0_.taskModifiedDate as taskMod11_34_, indextask0_.tryCount as tryCount34_, indextask0_.version as version34_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id34_0_, indextask0_.dateSysMetaModified as dateSysM2_34_0_, indextask0_.deleted as deleted34_0_, indextask0_.formatId as formatId34_0_, indextask0_.nextExecution as nextExec5_34_0_, indextask0_.objectPath as objectPath34_0_, indextask0_.pid as pid34_0_, indextask0_.priority as priority34_0_, indextask0_.status as status34_0_, indextask0_.sysMetadata as sysMeta10_34_0_, indextask0_.taskModifiedDate as taskMod11_34_0_, indextask0_.tryCount as tryCount34_0_, indextask0_.version as version34_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id34_, indextask0_.dateSysMetaModified as dateSysM2_34_, indextask0_.deleted as deleted34_, indextask0_.formatId as formatId34_, indextask0_.nextExecution as nextExec5_34_, indextask0_.objectPath as objectPath34_, indextask0_.pid as pid34_, indextask0_.priority as priority34_, indextask0_.status as status34_, indextask0_.sysMetadata as sysMeta10_34_, indextask0_.taskModifiedDate as taskMod11_34_, indextask0_.tryCount as tryCount34_, indextask0_.version as version34_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id34_0_, indextask0_.dateSysMetaModified as dateSysM2_34_0_, indextask0_.deleted as deleted34_0_, indextask0_.formatId as formatId34_0_, indextask0_.nextExecution as nextExec5_34_0_, indextask0_.objectPath as objectPath34_0_, indextask0_.pid as pid34_0_, indextask0_.priority as priority34_0_, indextask0_.status as status34_0_, indextask0_.sysMetadata as sysMeta10_34_0_, indextask0_.taskModifiedDate as taskMod11_34_0_, indextask0_.tryCount as tryCount34_0_, indextask0_.version as version34_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id34_, indextask0_.dateSysMetaModified as dateSysM2_34_, indextask0_.deleted as deleted34_, indextask0_.formatId as formatId34_, indextask0_.nextExecution as nextExec5_34_, indextask0_.objectPath as objectPath34_, indextask0_.pid as pid34_, indextask0_.priority as priority34_, indextask0_.status as status34_, indextask0_.sysMetadata as sysMeta10_34_, indextask0_.taskModifiedDate as taskMod11_34_, indextask0_.tryCount as tryCount34_, indextask0_.version as version34_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id34_, indextask0_.dateSysMetaModified as dateSysM2_34_, indextask0_.deleted as deleted34_, indextask0_.formatId as formatId34_, indextask0_.nextExecution as nextExec5_34_, indextask0_.objectPath as objectPath34_, indextask0_.pid as pid34_, indextask0_.priority as priority34_, indextask0_.status as status34_, indextask0_.sysMetadata as sysMeta10_34_, indextask0_.taskModifiedDate as taskMod11_34_, indextask0_.tryCount as tryCount34_, indextask0_.version as version34_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id34_, indextask0_.dateSysMetaModified as dateSysM2_34_, indextask0_.deleted as deleted34_, indextask0_.formatId as formatId34_, indextask0_.nextExecution as nextExec5_34_, indextask0_.objectPath as objectPath34_, indextask0_.pid as pid34_, indextask0_.priority as priority34_, indextask0_.status as status34_, indextask0_.sysMetadata as sysMeta10_34_, indextask0_.taskModifiedDate as taskMod11_34_, indextask0_.tryCount as tryCount34_, indextask0_.version as version34_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id34_0_, indextask0_.dateSysMetaModified as dateSysM2_34_0_, indextask0_.deleted as deleted34_0_, indextask0_.formatId as formatId34_0_, indextask0_.nextExecution as nextExec5_34_0_, indextask0_.objectPath as objectPath34_0_, indextask0_.pid as pid34_0_, indextask0_.priority as priority34_0_, indextask0_.status as status34_0_, indextask0_.sysMetadata as sysMeta10_34_0_, indextask0_.taskModifiedDate as taskMod11_34_0_, indextask0_.tryCount as tryCount34_0_, indextask0_.version as version34_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id34_, indextask0_.dateSysMetaModified as dateSysM2_34_, indextask0_.deleted as deleted34_, indextask0_.formatId as formatId34_, indextask0_.nextExecution as nextExec5_34_, indextask0_.objectPath as objectPath34_, indextask0_.pid as pid34_, indextask0_.priority as priority34_, indextask0_.status as status34_, indextask0_.sysMetadata as sysMeta10_34_, indextask0_.taskModifiedDate as taskMod11_34_, indextask0_.tryCount as tryCount34_, indextask0_.version as version34_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id34_0_, indextask0_.dateSysMetaModified as dateSysM2_34_0_, indextask0_.deleted as deleted34_0_, indextask0_.formatId as formatId34_0_, indextask0_.nextExecution as nextExec5_34_0_, indextask0_.objectPath as objectPath34_0_, indextask0_.pid as pid34_0_, indextask0_.priority as priority34_0_, indextask0_.status as status34_0_, indextask0_.sysMetadata as sysMeta10_34_0_, indextask0_.taskModifiedDate as taskMod11_34_0_, indextask0_.tryCount as tryCount34_0_, indextask0_.version as version34_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
++++++++++++++++++++++++++ start of testArchiveDataPackage
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@16266d61
[Ljava.lang.StackTraceElement;@7ff434f8
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id36_, indextask0_.dateSysMetaModified as dateSysM2_36_, indextask0_.deleted as deleted36_, indextask0_.formatId as formatId36_, indextask0_.nextExecution as nextExec5_36_, indextask0_.objectPath as objectPath36_, indextask0_.pid as pid36_, indextask0_.priority as priority36_, indextask0_.status as status36_, indextask0_.sysMetadata as sysMeta10_36_, indextask0_.taskModifiedDate as taskMod11_36_, indextask0_.tryCount as tryCount36_, indextask0_.version as version36_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id36_0_, indextask0_.dateSysMetaModified as dateSysM2_36_0_, indextask0_.deleted as deleted36_0_, indextask0_.formatId as formatId36_0_, indextask0_.nextExecution as nextExec5_36_0_, indextask0_.objectPath as objectPath36_0_, indextask0_.pid as pid36_0_, indextask0_.priority as priority36_0_, indextask0_.status as status36_0_, indextask0_.sysMetadata as sysMeta10_36_0_, indextask0_.taskModifiedDate as taskMod11_36_0_, indextask0_.tryCount as tryCount36_0_, indextask0_.version as version36_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
++++++++++++++++++++++++++ end of testArchiveDataPackage
++++++++++++++++++++++++++ start of testDataPackageWithArchivedDoc
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id40_0_, indextask0_.dateSysMetaModified as dateSysM2_40_0_, indextask0_.deleted as deleted40_0_, indextask0_.formatId as formatId40_0_, indextask0_.nextExecution as nextExec5_40_0_, indextask0_.objectPath as objectPath40_0_, indextask0_.pid as pid40_0_, indextask0_.priority as priority40_0_, indextask0_.status as status40_0_, indextask0_.sysMetadata as sysMeta10_40_0_, indextask0_.taskModifiedDate as taskMod11_40_0_, indextask0_.tryCount as tryCount40_0_, indextask0_.version as version40_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id40_0_, indextask0_.dateSysMetaModified as dateSysM2_40_0_, indextask0_.deleted as deleted40_0_, indextask0_.formatId as formatId40_0_, indextask0_.nextExecution as nextExec5_40_0_, indextask0_.objectPath as objectPath40_0_, indextask0_.pid as pid40_0_, indextask0_.priority as priority40_0_, indextask0_.status as status40_0_, indextask0_.sysMetadata as sysMeta10_40_0_, indextask0_.taskModifiedDate as taskMod11_40_0_, indextask0_.tryCount as tryCount40_0_, indextask0_.version as version40_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id40_0_, indextask0_.dateSysMetaModified as dateSysM2_40_0_, indextask0_.deleted as deleted40_0_, indextask0_.formatId as formatId40_0_, indextask0_.nextExecution as nextExec5_40_0_, indextask0_.objectPath as objectPath40_0_, indextask0_.pid as pid40_0_, indextask0_.priority as priority40_0_, indextask0_.status as status40_0_, indextask0_.sysMetadata as sysMeta10_40_0_, indextask0_.taskModifiedDate as taskMod11_40_0_, indextask0_.tryCount as tryCount40_0_, indextask0_.version as version40_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id40_0_, indextask0_.dateSysMetaModified as dateSysM2_40_0_, indextask0_.deleted as deleted40_0_, indextask0_.formatId as formatId40_0_, indextask0_.nextExecution as nextExec5_40_0_, indextask0_.objectPath as objectPath40_0_, indextask0_.pid as pid40_0_, indextask0_.priority as priority40_0_, indextask0_.status as status40_0_, indextask0_.sysMetadata as sysMeta10_40_0_, indextask0_.taskModifiedDate as taskMod11_40_0_, indextask0_.tryCount as tryCount40_0_, indextask0_.version as version40_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
Hibernate: select indextask0_.id as id40_0_, indextask0_.dateSysMetaModified as dateSysM2_40_0_, indextask0_.deleted as deleted40_0_, indextask0_.formatId as formatId40_0_, indextask0_.nextExecution as nextExec5_40_0_, indextask0_.objectPath as objectPath40_0_, indextask0_.pid as pid40_0_, indextask0_.priority as priority40_0_, indextask0_.status as status40_0_, indextask0_.sysMetadata as sysMeta10_40_0_, indextask0_.taskModifiedDate as taskMod11_40_0_, indextask0_.tryCount as tryCount40_0_, indextask0_.version as version40_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.pid=? and indextask0_.status=?
Hibernate: select indextask0_.id as id40_0_, indextask0_.dateSysMetaModified as dateSysM2_40_0_, indextask0_.deleted as deleted40_0_, indextask0_.formatId as formatId40_0_, indextask0_.nextExecution as nextExec5_40_0_, indextask0_.objectPath as objectPath40_0_, indextask0_.pid as pid40_0_, indextask0_.priority as priority40_0_, indextask0_.status as status40_0_, indextask0_.sysMetadata as sysMeta10_40_0_, indextask0_.taskModifiedDate as taskMod11_40_0_, indextask0_.tryCount as tryCount40_0_, indextask0_.version as version40_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id40_0_, indextask0_.dateSysMetaModified as dateSysM2_40_0_, indextask0_.deleted as deleted40_0_, indextask0_.formatId as formatId40_0_, indextask0_.nextExecution as nextExec5_40_0_, indextask0_.objectPath as objectPath40_0_, indextask0_.pid as pid40_0_, indextask0_.priority as priority40_0_, indextask0_.status as status40_0_, indextask0_.sysMetadata as sysMeta10_40_0_, indextask0_.taskModifiedDate as taskMod11_40_0_, indextask0_.tryCount as tryCount40_0_, indextask0_.version as version40_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select indextask0_.id as id40_0_, indextask0_.dateSysMetaModified as dateSysM2_40_0_, indextask0_.deleted as deleted40_0_, indextask0_.formatId as formatId40_0_, indextask0_.nextExecution as nextExec5_40_0_, indextask0_.objectPath as objectPath40_0_, indextask0_.pid as pid40_0_, indextask0_.priority as priority40_0_, indextask0_.status as status40_0_, indextask0_.sysMetadata as sysMeta10_40_0_, indextask0_.taskModifiedDate as taskMod11_40_0_, indextask0_.tryCount as tryCount40_0_, indextask0_.version as version40_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select count(indextask0_.id) as col_0_0_ from index_task indextask0_ where indextask0_.status=? limit ?
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.status=? order by indextask0_.priority asc, indextask0_.taskModifiedDate asc
Hibernate: select indextask0_.id as id40_0_, indextask0_.dateSysMetaModified as dateSysM2_40_0_, indextask0_.deleted as deleted40_0_, indextask0_.formatId as formatId40_0_, indextask0_.nextExecution as nextExec5_40_0_, indextask0_.objectPath as objectPath40_0_, indextask0_.pid as pid40_0_, indextask0_.priority as priority40_0_, indextask0_.status as status40_0_, indextask0_.sysMetadata as sysMeta10_40_0_, indextask0_.taskModifiedDate as taskMod11_40_0_, indextask0_.tryCount as tryCount40_0_, indextask0_.version as version40_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: update index_task set dateSysMetaModified=?, deleted=?, formatId=?, nextExecution=?, objectPath=?, pid=?, priority=?, status=?, sysMetadata=?, taskModifiedDate=?, tryCount=?, version=? where id=? and version=?
Hibernate: select indextask0_.id as id40_, indextask0_.dateSysMetaModified as dateSysM2_40_, indextask0_.deleted as deleted40_, indextask0_.formatId as formatId40_, indextask0_.nextExecution as nextExec5_40_, indextask0_.objectPath as objectPath40_, indextask0_.pid as pid40_, indextask0_.priority as priority40_, indextask0_.status as status40_, indextask0_.sysMetadata as sysMeta10_40_, indextask0_.taskModifiedDate as taskMod11_40_, indextask0_.tryCount as tryCount40_, indextask0_.version as version40_ from index_task indextask0_ where indextask0_.status=? and indextask0_.nextExecution<?
[Ljava.lang.StackTraceElement;@431cdd82
[Ljava.lang.StackTraceElement;@57134e08
Hibernate: select indextask0_.id as id40_0_, indextask0_.dateSysMetaModified as dateSysM2_40_0_, indextask0_.deleted as deleted40_0_, indextask0_.formatId as formatId40_0_, indextask0_.nextExecution as nextExec5_40_0_, indextask0_.objectPath as objectPath40_0_, indextask0_.pid as pid40_0_, indextask0_.priority as priority40_0_, indextask0_.status as status40_0_, indextask0_.sysMetadata as sysMeta10_40_0_, indextask0_.taskModifiedDate as taskMod11_40_0_, indextask0_.tryCount as tryCount40_0_, indextask0_.version as version40_0_ from index_task indextask0_ where indextask0_.id=?
Hibernate: delete from index_task where id=? and version=?
++++++++++++++++++++++++++ end of testDataPackageWithArchivedDoc
Tests run: 10, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 267.937 sec - in org.dataone.cn.index.SolrIndexDeleteTest
Running org.dataone.cn.index.SolrFieldXPathFgdcTest
Compared fields for: rightsHolder
Expected values: [CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org]
Actual values: [CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org]
Compared fields for: submitter
Expected values: [CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org]
Actual values: [CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org]
Compared fields for: fileName
Expected values: []
Actual values: []
Compared fields for: dateUploaded
Expected values: [2012-03-22T13:55:48.348Z]
Actual values: [2012-03-22T13:55:48.348Z]
Compared fields for: seriesId
Expected values: []
Actual values: []
Compared fields for: obsoletedBy
Expected values: [csiro_e_abayadultprawns]
Actual values: [csiro_e_abayadultprawns]
Compared fields for: replicaMN
Expected values: []
Actual values: []
Compared fields for: changePermission
Expected values: []
Actual values: []
Compared fields for: readPermission
Expected values: [public]
Actual values: [public]
Compared fields for: checksum
Expected values: [86bc6417ef29b6fbd279160699044e5e]
Actual values: [86bc6417ef29b6fbd279160699044e5e]
Compared fields for: replicationAllowed
Expected values: [true]
Actual values: [true]
Compared fields for: isPublic
Expected values: [true]
Actual values: [true]
Compared fields for: id
Expected values: [www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns]
Actual values: [www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns]
Compared fields for: formatType
Expected values: [METADATA]
Actual values: [METADATA]
Compared fields for: authoritativeMN
Expected values: [test_documents]
Actual values: [test_documents]
Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns]
Actual values: [https://cn.dataone.org/cn/v2/resolve/www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns]
Compared fields for: dateModified
Expected values: [2012-03-22T13:55:48.360Z]
Actual values: [2012-03-22T13:55:48.360Z]
Compared fields for: mediaType
Expected values: []
Actual values: []
Compared fields for: checksumAlgorithm
Expected values: [MD5]
Actual values: [MD5]
Compared fields for: mediaTypeProperty
Expected values: []
Actual values: []
Compared fields for: numberReplicas
Expected values: [3]
Actual values: [3]
Compared fields for: obsoletes
Expected values: [csiro_c_abayadultprawns]
Actual values: [csiro_c_abayadultprawns]
Compared fields for: replicaVerifiedDate
Expected values: []
Actual values: []
Compared fields for: formatId
Expected values: [FGDC-STD-001.1-1999]
Actual values: [FGDC-STD-001.1-1999]
Compared fields for: preferredReplicationMN
Expected values: []
Actual values: []
Compared fields for: size
Expected values: [9008]
Actual values: [9008]
Compared fields for: datasource
Expected values: [test_documents]
Actual values: [test_documents]
Compared fields for: blockedReplicationMN
Expected values: []
Actual values: []
Compared fields for: writePermission
Expected values: [CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org]
Actual values: [CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org]
Compared fields for: keywords
Expected values: [BIOMASS|LANDSAT TM|LANDSAT-5, adult prawn data, size, sex, reproductive stage, moult stage, parasites, Australlia, Gulf of Carpentaria, Albatross Bay]
Actual values: [BIOMASS|LANDSAT TM|LANDSAT-5, adult prawn data, size, sex, reproductive stage, moult stage, parasites, Australlia, Gulf of Carpentaria, Albatross Bay]
Compared fields for: endDate
Expected values: [1992-04-01T00:00:00.000Z]
Actual values: [1992-04-01T00:00:00.000Z]
Compared fields for: purpose
Expected values: [The purpose of the dataset is to provide information about adult prawn species in Albatross Bay, Gulf of Carpentaria.]
Actual values: [The purpose of the dataset is to provide information about adult prawn species in Albatross Bay, Gulf of Carpentaria.]
Compared fields for: scientificName
Expected values: []
Actual values: []
Compared fields for: authorSurName
Expected values: [CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)]
Actual values: [CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)]
Compared fields for: origin
Expected values: [CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)]
Actual values: [CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)]
Compared fields for: gcmdKeyword
Expected values: []
Actual values: []
Compared fields for: edition
Expected values: []
Actual values: []
Compared fields for: attributeDescription
Expected values: []
Actual values: []
Compared fields for: title
Expected values: [Albatross Bay Adult Prawn Data 1986-1992]
Actual values: [Albatross Bay Adult Prawn Data 1986-1992]
Compared fields for: northBoundCoord
Expected values: [-12.5]
Actual values: [-12.5]
Compared fields for: geoform
Expected values: [maps data]
Actual values: [maps data]
Compared fields for: investigator
Expected values: [CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)]
Actual values: [CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)]
Compared fields for: placeKey
Expected values: [Australlia, Gulf of Carpentaria, Albatross Bay]
Actual values: [Australlia, Gulf of Carpentaria, Albatross Bay]
Compared fields for: westBoundCoord
Expected values: [141.5]
Actual values: [141.5]
Compared fields for: authorSurNameSort
Expected values: [CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)]
Actual values: [CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)]
Compared fields for: attributeName
Expected values: []
Actual values: []
Compared fields for: text
Expected values: [http://www.nbii.gov/metadata/mdata/CSIRO/csiro_d_abayadultprawns.xml CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research) 1993 Albatross Bay Adult Prawn Data 1986-1992 maps data Australia CSIRO Division of Marine Research Adult prawn species, size, sex, reproductive stage, moult stage, and parasites were measured at 20 stations in Albatross Bay, Gulf of Carpentaria. Sampling was carried out monthly between 1986 and 1992. This metadata record is sourced from 'MarLIN', the CSIRO Marine Laboratories Information Network. The purpose of the dataset is to provide information about adult prawn species in Albatross Bay, Gulf of Carpentaria. Information was obtained from http://www.marine.csiro.au/marine/mcdd/data/CSIRODMR/CSIRODMR_datasets.html.The previous online linkage was determined to be broken in October 2010 and moved here. The previous online linkage was:http://www.marine.csiro.au/marine/mcdd/data/CSIRODMR/Albatross_Bay_Adult_Prawn_Data_1986_1992.HTML 19860301 19920401 ground condition Complete None planned Australia, Gulf of Carpentaria 141.5 142 -12.5 -13 ISO 19115 Topic Category none Parameter_Sensor_Source BIOMASS|LANDSAT TM|LANDSAT-5 none adult prawn data size sex reproductive stage moult stage parasites NONE none Australlia Gulf of Carpentaria Albatross Bay none prawns shrimps crustaceans Agencies listed below 2002 Integrated Taxonomic Information System Database Washington, D.C. U.S. Department of Agriculture Department of Commerce, National Oceanic and Atmospheric Administration (NOAA), Department of Interior (DOI), Geological Survey (USGS), Environmental Protection Agency (EPA), Department of Agriculture (USDA), Agriculture Research Service (ARS) Natural Resources Conservation Service (NRCS) Smithsonian Institution National Museum of Natural History (NMNH). http://www.itis.usda.gov/ Kingdom Animalia animals Phylum Arthropoda arthropods Division Test arthropods Subphylum Crustacea crustaceans Class Malacostraca Subclass Eumalacostraca Superorder Eucarida Order Decapoda crabs crayfishes lobsters prawns shrimp Release with the permission of the custodian. None Peter Crocos CSIRO Division of Marine Research-Cleveland mailing address P.O. Box 120 Cleveland Queensland 4163 Australia unknown unknown peter.crocos@csiro.au CSIRO Division of Marine Research Unknown Albatross Bay Chlorophyll Data 1986-1992 unknown Australia CSIRO Division of Marine Research Stephen Blaber, David Brewer, John Salini, J. Kerr Unknown Albatross Bay Fish Data 1986-1988 unknown Australia CSIRO Division of Marine Research Stever Blaber, CSIRO Division of Marine Research Unknown Albatross Bay Nearshore Fish Study 1991-1992 unknown Australia CSIRO Division of Marine Research CSIRO Division of Marine Research Unknown Albatross Bay Nutrient Data 1992 unknown Australia CSIRO Division of Marine Research Chris Jackson, CSIRO Division of Marine Research Unknown Albatross Bay Phytoplankton Data 1986-1992 unknown Queensland, Australia CSIRO Division of Marine Research CSIRO Division of Marine Research Unknown Albatross Bay Prawn Larval Data unknown Queensland, Australia CSIRO Division of Marine Research CSIRO Division of Marine Research Unknown Albatross Bay Primary Productivity unknown Queensland, Australia CSIRO Division of Marine Research not applicable Twenty stations were sampled. Field unknown unknown Unknown Point Entity - Adult Prawn in Albatross Bay, Gulf of Carpentaria, Australia; Attributes - size, sex, reproductive stage, moult stage, parasites unknown Tony Rees CSIRO Division of Marine Research-Hobart mailing address Hobart Australia unknown unknown Tony.Rees@csiro.au You accept all risks and responsibility for losses, damages, costs and other consequences resulting directly or indirectly from using this site and andinformation or material available from it. To the maximum permitted by law, CSIRO excludes all liability to any person arising directly or indirectly from using this site and any information or material available from it. Please contact distributor. 19980710 20020930 20030930 Cheryl Solomon Science Systems and Applications, Inc. Metadata specialist mailing and physical address 10210 Greenbelt Road, Suite 500 Lanham Maryland 20706 301 867-2080 301-867-2149. solomon@gcmd.nasa.gov FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata FGDC-STD-001.1-1999 www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns]
Actual values: [http://www.nbii.gov/metadata/mdata/CSIRO/csiro_d_abayadultprawns.xml CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research) 1993 Albatross Bay Adult Prawn Data 1986-1992 maps data Australia CSIRO Division of Marine Research Adult prawn species, size, sex, reproductive stage, moult stage, and parasites were measured at 20 stations in Albatross Bay, Gulf of Carpentaria. Sampling was carried out monthly between 1986 and 1992. This metadata record is sourced from 'MarLIN', the CSIRO Marine Laboratories Information Network. The purpose of the dataset is to provide information about adult prawn species in Albatross Bay, Gulf of Carpentaria. Information was obtained from http://www.marine.csiro.au/marine/mcdd/data/CSIRODMR/CSIRODMR_datasets.html.The previous online linkage was determined to be broken in October 2010 and moved here. The previous online linkage was:http://www.marine.csiro.au/marine/mcdd/data/CSIRODMR/Albatross_Bay_Adult_Prawn_Data_1986_1992.HTML 19860301 19920401 ground condition Complete None planned Australia, Gulf of Carpentaria 141.5 142 -12.5 -13 ISO 19115 Topic Category none Parameter_Sensor_Source BIOMASS|LANDSAT TM|LANDSAT-5 none adult prawn data size sex reproductive stage moult stage parasites NONE none Australlia Gulf of Carpentaria Albatross Bay none prawns shrimps crustaceans Agencies listed below 2002 Integrated Taxonomic Information System Database Washington, D.C. U.S. Department of Agriculture Department of Commerce, National Oceanic and Atmospheric Administration (NOAA), Department of Interior (DOI), Geological Survey (USGS), Environmental Protection Agency (EPA), Department of Agriculture (USDA), Agriculture Research Service (ARS) Natural Resources Conservation Service (NRCS) Smithsonian Institution National Museum of Natural History (NMNH). http://www.itis.usda.gov/ Kingdom Animalia animals Phylum Arthropoda arthropods Division Test arthropods Subphylum Crustacea crustaceans Class Malacostraca Subclass Eumalacostraca Superorder Eucarida Order Decapoda crabs crayfishes lobsters prawns shrimp Release with the permission of the custodian. None Peter Crocos CSIRO Division of Marine Research-Cleveland mailing address P.O. Box 120 Cleveland Queensland 4163 Australia unknown unknown peter.crocos@csiro.au CSIRO Division of Marine Research Unknown Albatross Bay Chlorophyll Data 1986-1992 unknown Australia CSIRO Division of Marine Research Stephen Blaber, David Brewer, John Salini, J. Kerr Unknown Albatross Bay Fish Data 1986-1988 unknown Australia CSIRO Division of Marine Research Stever Blaber, CSIRO Division of Marine Research Unknown Albatross Bay Nearshore Fish Study 1991-1992 unknown Australia CSIRO Division of Marine Research CSIRO Division of Marine Research Unknown Albatross Bay Nutrient Data 1992 unknown Australia CSIRO Division of Marine Research Chris Jackson, CSIRO Division of Marine Research Unknown Albatross Bay Phytoplankton Data 1986-1992 unknown Queensland, Australia CSIRO Division of Marine Research CSIRO Division of Marine Research Unknown Albatross Bay Prawn Larval Data unknown Queensland, Australia CSIRO Division of Marine Research CSIRO Division of Marine Research Unknown Albatross Bay Primary Productivity unknown Queensland, Australia CSIRO Division of Marine Research not applicable Twenty stations were sampled. Field unknown unknown Unknown Point Entity - Adult Prawn in Albatross Bay, Gulf of Carpentaria, Australia; Attributes - size, sex, reproductive stage, moult stage, parasites unknown Tony Rees CSIRO Division of Marine Research-Hobart mailing address Hobart Australia unknown unknown Tony.Rees@csiro.au You accept all risks and responsibility for losses, damages, costs and other consequences resulting directly or indirectly from using this site and andinformation or material available from it. To the maximum permitted by law, CSIRO excludes all liability to any person arising directly or indirectly from using this site and any information or material available from it. Please contact distributor. 19980710 20020930 20030930 Cheryl Solomon Science Systems and Applications, Inc. Metadata specialist mailing and physical address 10210 Greenbelt Road, Suite 500 Lanham Maryland 20706 301 867-2080 301-867-2149. solomon@gcmd.nasa.gov FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata FGDC-STD-001.1-1999 www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns]
Compared fields for: attribute
Expected values: []
Actual values: []
Compared fields for: class
Expected values: [Malacostraca]
Actual values: [Malacostraca]
Compared fields for: order
Expected values: [Decapoda]
Actual values: [Decapoda]
Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns]
Actual values: [https://cn.dataone.org/cn/v2/resolve/www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns]
Compared fields for: geohash_7
Expected values: [rjsz3wg]
Actual values: [rjsz3wg]
Compared fields for: contactOrganization
Expected values: [CSIRO Division of Marine Research-Hobart]
Actual values: [CSIRO Division of Marine Research-Hobart]
Compared fields for: geohash_6
Expected values: [rjsz3w]
Actual values: [rjsz3w]
Compared fields for: attributeUnit
Expected values: []
Actual values: []
Compared fields for: geohash_5
Expected values: [rjsz3]
Actual values: [rjsz3]
Compared fields for: geohash_4
Expected values: [rjsz]
Actual values: [rjsz]
Compared fields for: geohash_3
Expected values: [rjs]
Actual values: [rjs]
Compared fields for: geohash_2
Expected values: [rj]
Actual values: [rj]
Compared fields for: author
Expected values: [CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)]
Actual values: [CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)]
Compared fields for: geohash_1
Expected values: [r]
Actual values: [r]
Compared fields for: abstract
Expected values: [Adult prawn species, size, sex, reproductive stage, moult stage, and parasites were measured at 20 stations in Albatross Bay, Gulf of Carpentaria. Sampling was carried out monthly between 1986 and 1992. This metadata record is sourced from 'MarLIN', the CSIRO Marine Laboratories Information Network.]
Actual values: [Adult prawn species, size, sex, reproductive stage, moult stage, and parasites were measured at 20 stations in Albatross Bay, Gulf of Carpentaria. Sampling was carried out monthly between 1986 and 1992. This metadata record is sourced from 'MarLIN', the CSIRO Marine Laboratories Information Network.]
Compared fields for: kingdom
Expected values: [Animalia]
Actual values: [Animalia]
Compared fields for: pubDate
Expected values: [1993-01-01T00:00:00.000Z]
Actual values: [1993-01-01T00:00:00.000Z]
Compared fields for: geohash_9
Expected values: [rjsz3wgjy]
Actual values: [rjsz3wgjy]
Compared fields for: geohash_8
Expected values: [rjsz3wgj]
Actual values: [rjsz3wgj]
Compared fields for: beginDate
Expected values: [1986-03-01T00:00:00.000Z]
Actual values: [1986-03-01T00:00:00.000Z]
Compared fields for: presentationCat
Expected values: [maps data]
Actual values: [maps data]
Compared fields for: site
Expected values: [Australia, Gulf of Carpentaria]
Actual values: [Australia, Gulf of Carpentaria]
Compared fields for: phylum
Expected values: [Arthropoda, Test]
Actual values: [Arthropoda, Test]
Compared fields for: genus
Expected values: []
Actual values: []
Compared fields for: species
Expected values: []
Actual values: []
Compared fields for: webUrl
Expected values: []
Actual values: []
Compared fields for: eastBoundCoord
Expected values: [142.0]
Actual values: [142.0]
Compared fields for: southBoundCoord
Expected values: [-13.0]
Actual values: [-13.0]
Compared fields for: attributeLabel
Expected values: []
Actual values: []
Compared fields for: family
Expected values: []
Actual values: []
Compared fields for: rightsHolder
Expected values: [CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org]
Actual values: [CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org]
Compared fields for: submitter
Expected values: [CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org]
Actual values: [CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org]
Compared fields for: fileName
Expected values: []
Actual values: []
Compared fields for: dateUploaded
Expected values: [2012-03-22T13:53:02.814Z]
Actual values: [2012-03-22T13:53:02.814Z]
Compared fields for: seriesId
Expected values: []
Actual values: []
Compared fields for: obsoletedBy
Expected values: [nasa_d_FEDGPS1294]
Actual values: [nasa_d_FEDGPS1294]
Compared fields for: replicaMN
Expected values: []
Actual values: []
Compared fields for: changePermission
Expected values: []
Actual values: []
Compared fields for: readPermission
Expected values: [public]
Actual values: [public]
Compared fields for: checksum
Expected values: [c72ff66bbe7fa99e5fb399bab8cb6f85]
Actual values: [c72ff66bbe7fa99e5fb399bab8cb6f85]
Compared fields for: replicationAllowed
Expected values: [true]
Actual values: [true]
Compared fields for: isPublic
Expected values: [true]
Actual values: [true]
Compared fields for: id
Expected values: [www.nbii.gov_metadata_mdata_NASA_nasa_d_FEDGPS1293]
Actual values: [www.nbii.gov_metadata_mdata_NASA_nasa_d_FEDGPS1293]
Compared fields for: formatType
Expected values: [METADATA]
Actual values: [METADATA]
Compared fields for: authoritativeMN
Expected values: [test_documents]
Actual values: [test_documents]
Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/www.nbii.gov_metadata_mdata_NASA_nasa_d_FEDGPS1293]
Actual values: [https://cn.dataone.org/cn/v2/resolve/www.nbii.gov_metadata_mdata_NASA_nasa_d_FEDGPS1293]
Compared fields for: dateModified
Expected values: [2012-03-22T13:53:02.821Z]
Actual values: [2012-03-22T13:53:02.821Z]
Compared fields for: mediaType
Expected values: []
Actual values: []
Compared fields for: checksumAlgorithm
Expected values: [MD5]
Actual values: [MD5]
Compared fields for: mediaTypeProperty
Expected values: []
Actual values: []
Compared fields for: numberReplicas
Expected values: [3]
Actual values: [3]
Compared fields for: obsoletes
Expected values: [nasa_d_FEDGPS1292]
Actual values: [nasa_d_FEDGPS1292]
Compared fields for: replicaVerifiedDate
Expected values: []
Actual values: []
Compared fields for: formatId
Expected values: [FGDC-STD-001.1-1999]
Actual values: [FGDC-STD-001.1-1999]
Compared fields for: preferredReplicationMN
Expected values: []
Actual values: []
Compared fields for: size
Expected values: [14880]
Actual values: [14880]
Compared fields for: datasource
Expected values: [test_documents]
Actual values: [test_documents]
Compared fields for: blockedReplicationMN
Expected values: []
Actual values: []
Compared fields for: writePermission
Expected values: [CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org]
Actual values: [CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org]
Compared fields for: keywords
Expected values: [ENVIRONMENT, IMAGERY/BASE MAPS/EARTH COVER, PLANNING CADASTRE, EARTH SCIENCE > HUMAN DIMENSIONS > LAND USE/LAND COVER > LAND MANAGEMENT > GROUND CONTROL POINT, SATELLITES, GPS > GLOBAL POSITIONING SYSTEM, FED > FOREST ECOSYSTEM DYNAMICS, Easting, GIS, Northing, CONTINENT > NORTH AMERICA, CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MAINE]
Actual values: [ENVIRONMENT, IMAGERY/BASE MAPS/EARTH COVER, PLANNING CADASTRE, EARTH SCIENCE > HUMAN DIMENSIONS > LAND USE/LAND COVER > LAND MANAGEMENT > GROUND CONTROL POINT, SATELLITES, GPS > GLOBAL POSITIONING SYSTEM, FED > FOREST ECOSYSTEM DYNAMICS, Easting, GIS, Northing, CONTINENT > NORTH AMERICA, CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MAINE]
Compared fields for: endDate
Expected values: [1993-12-31T00:00:00.000Z]
Actual values: [1993-12-31T00:00:00.000Z]
Compared fields for: purpose
Expected values: [The field measurements component of the FED project was initiated to acquire data which are needed to: improve our understanding of vegetation, soil, and energy dynamics, and other biotic and abiotic processes within forested ecosystems so that the models can be parameterized, updated and modified; and to acquire in situ field observations for comparison with model results and conceptual model refinement.]
Actual values: [The field measurements component of the FED project was initiated to acquire data which are needed to: improve our understanding of vegetation, soil, and energy dynamics, and other biotic and abiotic processes within forested ecosystems so that the models can be parameterized, updated and modified; and to acquire in situ field observations for comparison with model results and conceptual model refinement.]
Compared fields for: scientificName
Expected values: []
Actual values: []
Compared fields for: authorSurName
Expected values: [Elizabeth M. Nel; NASA Goddard Space Flight Center, Forest Ecosystem Dynamics Project]
Actual values: [Elizabeth M. Nel; NASA Goddard Space Flight Center, Forest Ecosystem Dynamics Project]
Compared fields for: gcmdKeyword
Expected values: [EARTH SCIENCE > HUMAN DIMENSIONS > LAND USE/LAND COVER > LAND MANAGEMENT > GROUND CONTROL POINT, SATELLITES, GPS > GLOBAL POSITIONING SYSTEM, FED > FOREST ECOSYSTEM DYNAMICS]
Actual values: [EARTH SCIENCE > HUMAN DIMENSIONS > LAND USE/LAND COVER > LAND MANAGEMENT > GROUND CONTROL POINT, SATELLITES, GPS > GLOBAL POSITIONING SYSTEM, FED > FOREST ECOSYSTEM DYNAMICS]
Compared fields for: origin
Expected values: [Elizabeth M. Nel; NASA Goddard Space Flight Center, Forest Ecosystem Dynamics Project]
Actual values: [Elizabeth M. Nel; NASA Goddard Space Flight Center, Forest Ecosystem Dynamics Project]
Compared fields for: edition
Expected values: []
Actual values: []
Compared fields for: attributeDescription
Expected values: [Degenerate area of point, Degenerate perimeter of point, Internal feature number, User-assigned feature number, Site ID, Number of GPS fixes at location]
Actual values: [Degenerate area of point, Degenerate perimeter of point, Internal feature number, User-assigned feature number, Site ID, Number of GPS fixes at location]
Compared fields for: title
Expected values: [Global Positioning System Ground Control Points Acquired 1993 for the Forest Ecosystem Dynamics Project Spatial Data Archive]
Actual values: [Global Positioning System Ground Control Points Acquired 1993 for the Forest Ecosystem Dynamics Project Spatial Data Archive]
Compared fields for: northBoundCoord
Expected values: [45.0]
Actual values: [45.0]
Compared fields for: geoform
Expected values: [Maps and Data]
Actual values: [Maps and Data]
Compared fields for: investigator
Expected values: [Elizabeth M. Nel; NASA Goddard Space Flight Center, Forest Ecosystem Dynamics Project]
Actual values: [Elizabeth M. Nel; NASA Goddard Space Flight Center, Forest Ecosystem Dynamics Project]
Compared fields for: placeKey
Expected values: [CONTINENT > NORTH AMERICA, CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MAINE]
Actual values: [CONTINENT > NORTH AMERICA, CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MAINE]
Compared fields for: westBoundCoord
Expected values: [-68.0]
Actual values: [-68.0]
Compared fields for: authorSurNameSort
Expected values: [Elizabeth M. Nel; NASA Goddard Space Flight Center, Forest Ecosystem Dynamics Project]
Actual values: [Elizabeth M. Nel; NASA Goddard Space Flight Center, Forest Ecosystem Dynamics Project]
Compared fields for: attributeName
Expected values: [AREA, PERIMETER, GPS_1293, GPS_1293-ID, CODE, NUM_MEAS]
Actual values: [AREA, PERIMETER, GPS_1293, GPS_1293-ID, CODE, NUM_MEAS]
Compared fields for: text
Expected values: [http://www.nbii.gov/metadata/mdata/NASA/nasa_d_FEDGPS1293.xml Elizabeth M. Nel; NASA Goddard Space Flight Center, Forest Ecosystem Dynamics Project 1994 Global Positioning System Ground Control Points Acquired 1993 for the Forest Ecosystem Dynamics Project Spatial Data Archive Maps and Data http://fedwww.gsfc.nasa.gov/ The Biospheric Sciences Branch (formerly Earth Resources Branch) within the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center and associated University investigators are involved in a research program entitled Forest Ecosystem Dynamics (FED) which is fundamentally concerned with vegetation change of forest ecosystems at local to regional spatial scales (100 to 10,000 meters) and temporal scales ranging from monthly to decadal periods (10 to 100 years). The nature and extent of the impacts of these changes, as well as the feedbacks to global climate, may be addressed through modeling the interactions of the vegetation, soil, and energy components of the boreal ecosystem. The Howland Forest research site lies within the Northern Experimental Forest of International Paper. The natural stands in this boreal-northern hardwood transitional forest consist of spruce-hemlock-fir, aspen-birch, and hemlock-hardwood mixtures. The topography of the region varies from flat to gently rolling, with a maximum elevation change of less than 68 m within 10 km. Due to the region's glacial history, soil drainage classes within a small area may vary widely, from well drained to poorly drained. Consequently, an elaborate patchwork of forest communities has developed, supporting exceptional local species diversity. This data set is in ARC/INFO export format and contains Global Positioning Systems (GPS) ground control points in and around the International Paper Experimental Forest, Howland ME. The field measurements component of the FED project was initiated to acquire data which are needed to: improve our understanding of vegetation, soil, and energy dynamics, and other biotic and abiotic processes within forested ecosystems so that the models can be parameterized, updated and modified; and to acquire in situ field observations for comparison with model results and conceptual model refinement. 19931201 19931231 publication date Complete As needed The study site is located 56 km north of Bangor, Maine in Penobscot County (45 12'N, 68 44'W). The area is within the 7000 ha Northern Experimental Forest (NEF) owned by International Paper. -68.0 -68.0 45 45.0 ISO Topic Category ENVIRONMENT IMAGERY/BASE MAPS/EARTH COVER PLANNING CADASTRE GCMD Science Keywords EARTH SCIENCE > HUMAN DIMENSIONS > LAND USE/LAND COVER > LAND MANAGEMENT > GROUND CONTROL POINT SATELLITES GPS > GLOBAL POSITIONING SYSTEM FED > FOREST ECOSYSTEM DYNAMICS None Easting GIS Northing GCMD CONTINENT > NORTH AMERICA CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MAINE None Some coordinates are corrected to a greater positional accuracy than others. Darrel L. Williams TECHNICAL CONTACT Mailing and Physical Address NASA's Goddard Space Flight Center Mailstop 614.0 Greenbelt MD 21227 USA 301.614.6049 Darrel.L.Williams@nasa.gov UNIX Nel, E.M. and M.E. Jackson 1993 An Independent Evaluation of the Accuracy of Handheld GPS Receivers Publication Unpublished Report n/a Levine, E., K.J. Ranson, J.A. Smith, D.L. Williams, R.G. Knox, H.H. Shugart, D.L. Urban, and W.T. Lawrence Unknown Forest ecosystem dynamics: linking forest succession, soil process and radiation models Publication Ecological Modeling 65: 199-219 Information available at the FED website: http://fedwww.gsfc.nasa.gov/ Point features present. A Trimble roving receiver placed on the top of the cab of a pick-up truck and leveled was used to collect position information at selected sites (road intersections) across the FED project study area. The field collected data was differentially corrected using base files measured by a Trimble Community Base Station. The Community Base Station is run by the Forestry Department at the University of Maine, Orono (UMO). The base station was surveyed by the Surveying Engineering Department at UMO using classical geodetic methods. Trimble software was used to produce coordinates in Universal Transverse Mercator (UTM) WGS84. Coordinates were adjusted based on field notes. All points were collected during December 1993 and differentially corrected. GENERATE LIZEGPS_84 199501 1521 BUILD LIZEGPS_84 POINT 199501 1522 COPY LIZEGPS_84 /NET/FOREST/HOME/FED-GIS/GPS_GCP/LIZEGPS_84 199502 1524 LARA RENAME LIZEGPS_84 GPS_1293 199502 1731 LARA DOCUMENT GPS_1293 CREATE LARA 199502 1745 LARA PROJECTDEFINE COVER GPS_1293 199502 1836 Point Point 27 String Ring composed of chains Universal Transverse Mercator 19 0.9996 0 0 0 0 coordinate pair 40 40 meters World Geodetic System of 1984 6378137 298.25722210088 GPS_1293.PAT GPS differential correction information E. Nel AREA Degenerate area of point FED '0' number none PERIMETER Degenerate perimeter of point FED '0' number none GPS_1293 Internal feature number Computed Sequential unique positive integer number none GPS_1293-ID User-assigned feature number User-defined Integer number none CODE Site ID E. Nel Real numbers number none NUM_MEAS Number of GPS fixes at location E. Nel Real numbers number none Num_meas - Number of measurements used for differential correction.If num_meas is 180 or greater, the positional accuracy of the GPS coordinate is sub-meter.If num_meas is less than 180 but greater that 0, the positional accuracy is estimated at 10 meters based on Nels and Jackson, 1993.If num_meas is 0, the positional accuracy is estimated at 12 to 40 meters, based on published median error ranges. The following measurements are included: Site ID, Number of GPS Fixes at Location, Degenerate Area/Perimeter of Point Forest Ecosystem Dynamics Project, Biospheric Sciences Branch, Hydrospheric and Biospheric Sciences Laboratory, Earth Sciences Division, Science and Exploration Directorate, Goddard Space Flight Center, NASA KENNETH JON RANSON DATA CENTER CONTACT Mailing and Physical Address NASA Goddard Space Flight Center Mailstop 614.4 Greenbelt MD 20771 USA 301-614-6650 301-614-6695 Kenneth.J.Ranson@nasa.gov None ARC/INFO No compression applied http://fedwww.gsfc.nasa.gov/gis_data/gps_1293.e00 FED Data: GPS ground control points and field site locations from 12/93 None 20090322 NASA (National Aeronautics and Space Administration)/GCMD (Goddard Space Flight Center) Mailing and Physical Address Goddard Space Flight Center Code 610.2 Greenbelt MD 20771 USA 301.614.6163 gsfc-gcmduso@mail.nasa.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 www.nbii.gov_metadata_mdata_NASA_nasa_d_FEDGPS1293]
Actual values: [http://www.nbii.gov/metadata/mdata/NASA/nasa_d_FEDGPS1293.xml Elizabeth M. Nel; NASA Goddard Space Flight Center, Forest Ecosystem Dynamics Project 1994 Global Positioning System Ground Control Points Acquired 1993 for the Forest Ecosystem Dynamics Project Spatial Data Archive Maps and Data http://fedwww.gsfc.nasa.gov/ The Biospheric Sciences Branch (formerly Earth Resources Branch) within the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center and associated University investigators are involved in a research program entitled Forest Ecosystem Dynamics (FED) which is fundamentally concerned with vegetation change of forest ecosystems at local to regional spatial scales (100 to 10,000 meters) and temporal scales ranging from monthly to decadal periods (10 to 100 years). The nature and extent of the impacts of these changes, as well as the feedbacks to global climate, may be addressed through modeling the interactions of the vegetation, soil, and energy components of the boreal ecosystem. The Howland Forest research site lies within the Northern Experimental Forest of International Paper. The natural stands in this boreal-northern hardwood transitional forest consist of spruce-hemlock-fir, aspen-birch, and hemlock-hardwood mixtures. The topography of the region varies from flat to gently rolling, with a maximum elevation change of less than 68 m within 10 km. Due to the region's glacial history, soil drainage classes within a small area may vary widely, from well drained to poorly drained. Consequently, an elaborate patchwork of forest communities has developed, supporting exceptional local species diversity. This data set is in ARC/INFO export format and contains Global Positioning Systems (GPS) ground control points in and around the International Paper Experimental Forest, Howland ME. The field measurements component of the FED project was initiated to acquire data which are needed to: improve our understanding of vegetation, soil, and energy dynamics, and other biotic and abiotic processes within forested ecosystems so that the models can be parameterized, updated and modified; and to acquire in situ field observations for comparison with model results and conceptual model refinement. 19931201 19931231 publication date Complete As needed The study site is located 56 km north of Bangor, Maine in Penobscot County (45 12'N, 68 44'W). The area is within the 7000 ha Northern Experimental Forest (NEF) owned by International Paper. -68.0 -68.0 45 45.0 ISO Topic Category ENVIRONMENT IMAGERY/BASE MAPS/EARTH COVER PLANNING CADASTRE GCMD Science Keywords EARTH SCIENCE > HUMAN DIMENSIONS > LAND USE/LAND COVER > LAND MANAGEMENT > GROUND CONTROL POINT SATELLITES GPS > GLOBAL POSITIONING SYSTEM FED > FOREST ECOSYSTEM DYNAMICS None Easting GIS Northing GCMD CONTINENT > NORTH AMERICA CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MAINE None Some coordinates are corrected to a greater positional accuracy than others. Darrel L. Williams TECHNICAL CONTACT Mailing and Physical Address NASA's Goddard Space Flight Center Mailstop 614.0 Greenbelt MD 21227 USA 301.614.6049 Darrel.L.Williams@nasa.gov UNIX Nel, E.M. and M.E. Jackson 1993 An Independent Evaluation of the Accuracy of Handheld GPS Receivers Publication Unpublished Report n/a Levine, E., K.J. Ranson, J.A. Smith, D.L. Williams, R.G. Knox, H.H. Shugart, D.L. Urban, and W.T. Lawrence Unknown Forest ecosystem dynamics: linking forest succession, soil process and radiation models Publication Ecological Modeling 65: 199-219 Information available at the FED website: http://fedwww.gsfc.nasa.gov/ Point features present. A Trimble roving receiver placed on the top of the cab of a pick-up truck and leveled was used to collect position information at selected sites (road intersections) across the FED project study area. The field collected data was differentially corrected using base files measured by a Trimble Community Base Station. The Community Base Station is run by the Forestry Department at the University of Maine, Orono (UMO). The base station was surveyed by the Surveying Engineering Department at UMO using classical geodetic methods. Trimble software was used to produce coordinates in Universal Transverse Mercator (UTM) WGS84. Coordinates were adjusted based on field notes. All points were collected during December 1993 and differentially corrected. GENERATE LIZEGPS_84 199501 1521 BUILD LIZEGPS_84 POINT 199501 1522 COPY LIZEGPS_84 /NET/FOREST/HOME/FED-GIS/GPS_GCP/LIZEGPS_84 199502 1524 LARA RENAME LIZEGPS_84 GPS_1293 199502 1731 LARA DOCUMENT GPS_1293 CREATE LARA 199502 1745 LARA PROJECTDEFINE COVER GPS_1293 199502 1836 Point Point 27 String Ring composed of chains Universal Transverse Mercator 19 0.9996 0 0 0 0 coordinate pair 40 40 meters World Geodetic System of 1984 6378137 298.25722210088 GPS_1293.PAT GPS differential correction information E. Nel AREA Degenerate area of point FED '0' number none PERIMETER Degenerate perimeter of point FED '0' number none GPS_1293 Internal feature number Computed Sequential unique positive integer number none GPS_1293-ID User-assigned feature number User-defined Integer number none CODE Site ID E. Nel Real numbers number none NUM_MEAS Number of GPS fixes at location E. Nel Real numbers number none Num_meas - Number of measurements used for differential correction.If num_meas is 180 or greater, the positional accuracy of the GPS coordinate is sub-meter.If num_meas is less than 180 but greater that 0, the positional accuracy is estimated at 10 meters based on Nels and Jackson, 1993.If num_meas is 0, the positional accuracy is estimated at 12 to 40 meters, based on published median error ranges. The following measurements are included: Site ID, Number of GPS Fixes at Location, Degenerate Area/Perimeter of Point Forest Ecosystem Dynamics Project, Biospheric Sciences Branch, Hydrospheric and Biospheric Sciences Laboratory, Earth Sciences Division, Science and Exploration Directorate, Goddard Space Flight Center, NASA KENNETH JON RANSON DATA CENTER CONTACT Mailing and Physical Address NASA Goddard Space Flight Center Mailstop 614.4 Greenbelt MD 20771 USA 301-614-6650 301-614-6695 Kenneth.J.Ranson@nasa.gov None ARC/INFO No compression applied http://fedwww.gsfc.nasa.gov/gis_data/gps_1293.e00 FED Data: GPS ground control points and field site locations from 12/93 None 20090322 NASA (National Aeronautics and Space Administration)/GCMD (Goddard Space Flight Center) Mailing and Physical Address Goddard Space Flight Center Code 610.2 Greenbelt MD 20771 USA 301.614.6163 gsfc-gcmduso@mail.nasa.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 www.nbii.gov_metadata_mdata_NASA_nasa_d_FEDGPS1293]
Compared fields for: attribute
Expected values: [AREA Degenerate area of point '0', PERIMETER Degenerate perimeter of point '0', GPS_1293 Internal feature number Sequential unique positive integer, GPS_1293-ID User-assigned feature number Integer, CODE Site ID Real numbers, NUM_MEAS Number of GPS fixes at location Real numbers]
Actual values: [AREA Degenerate area of point '0', PERIMETER Degenerate perimeter of point '0', GPS_1293 Internal feature number Sequential unique positive integer, GPS_1293-ID User-assigned feature number Integer, CODE Site ID Real numbers, NUM_MEAS Number of GPS fixes at location Real numbers]
Compared fields for: class
Expected values: []
Actual values: []
Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/www.nbii.gov_metadata_mdata_NASA_nasa_d_FEDGPS1293]
Actual values: [https://cn.dataone.org/cn/v2/resolve/www.nbii.gov_metadata_mdata_NASA_nasa_d_FEDGPS1293]
Compared fields for: order
Expected values: []
Actual values: []
Compared fields for: geohash_7
Expected values: [f2p8h85]
Actual values: [f2p8h85]
Compared fields for: contactOrganization
Expected values: [Forest Ecosystem Dynamics Project, Biospheric Sciences Branch, Hydrospheric and Biospheric Sciences Laboratory, Earth Sciences Division, Science and Exploration Directorate, Goddard Space Flight Center, NASA]
Actual values: [Forest Ecosystem Dynamics Project, Biospheric Sciences Branch, Hydrospheric and Biospheric Sciences Laboratory, Earth Sciences Division, Science and Exploration Directorate, Goddard Space Flight Center, NASA]
Compared fields for: attributeUnit
Expected values: ['0', '0', Sequential unique positive integer, Integer, Real numbers, Real numbers]
Actual values: ['0', '0', Sequential unique positive integer, Integer, Real numbers, Real numbers]
Compared fields for: geohash_6
Expected values: [f2p8h8]
Actual values: [f2p8h8]
Compared fields for: geohash_5
Expected values: [f2p8h]
Actual values: [f2p8h]
Compared fields for: geohash_4
Expected values: [f2p8]
Actual values: [f2p8]
Compared fields for: geohash_3
Expected values: [f2p]
Actual values: [f2p]
Compared fields for: geohash_2
Expected values: [f2]
Actual values: [f2]
Compared fields for: author
Expected values: [Elizabeth M. Nel; NASA Goddard Space Flight Center, Forest Ecosystem Dynamics Project]
Actual values: [Elizabeth M. Nel; NASA Goddard Space Flight Center, Forest Ecosystem Dynamics Project]
Compared fields for: geohash_1
Expected values: [f]
Actual values: [f]
Compared fields for: abstract
Expected values: [The Biospheric Sciences Branch (formerly Earth Resources Branch) within the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center and associated University investigators are involved in a research program entitled Forest Ecosystem Dynamics (FED) which is fundamentally concerned with vegetation change of forest ecosystems at local to regional spatial scales (100 to 10,000 meters) and temporal scales ranging from monthly to decadal periods (10 to 100 years). The nature and extent of the impacts of these changes, as well as the feedbacks to global climate, may be addressed through modeling the interactions of the vegetation, soil, and energy components of the boreal ecosystem. The Howland Forest research site lies within the Northern Experimental Forest of International Paper. The natural stands in this boreal-northern hardwood transitional forest consist of spruce-hemlock-fir, aspen-birch, and hemlock-hardwood mixtures. The topography of the region varies from flat to gently rolling, with a maximum elevation change of less than 68 m within 10 km. Due to the region's glacial history, soil drainage classes within a small area may vary widely, from well drained to poorly drained. Consequently, an elaborate patchwork of forest communities has developed, supporting exceptional local species diversity. This data set is in ARC/INFO export format and contains Global Positioning Systems (GPS) ground control points in and around the International Paper Experimental Forest, Howland ME.]
Actual values: [The Biospheric Sciences Branch (formerly Earth Resources Branch) within the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center and associated University investigators are involved in a research program entitled Forest Ecosystem Dynamics (FED) which is fundamentally concerned with vegetation change of forest ecosystems at local to regional spatial scales (100 to 10,000 meters) and temporal scales ranging from monthly to decadal periods (10 to 100 years). The nature and extent of the impacts of these changes, as well as the feedbacks to global climate, may be addressed through modeling the interactions of the vegetation, soil, and energy components of the boreal ecosystem. The Howland Forest research site lies within the Northern Experimental Forest of International Paper. The natural stands in this boreal-northern hardwood transitional forest consist of spruce-hemlock-fir, aspen-birch, and hemlock-hardwood mixtures. The topography of the region varies from flat to gently rolling, with a maximum elevation change of less than 68 m within 10 km. Due to the region's glacial history, soil drainage classes within a small area may vary widely, from well drained to poorly drained. Consequently, an elaborate patchwork of forest communities has developed, supporting exceptional local species diversity. This data set is in ARC/INFO export format and contains Global Positioning Systems (GPS) ground control points in and around the International Paper Experimental Forest, Howland ME.]
Compared fields for: pubDate
Expected values: [1994-01-01T00:00:00.000Z]
Actual values: [1994-01-01T00:00:00.000Z]
Compared fields for: kingdom
Expected values: []
Actual values: []
Compared fields for: geohash_9
Expected values: [f2p8h85bj]
Actual values: [f2p8h85bj]
Compared fields for: geohash_8
Expected values: [f2p8h85b]
Actual values: [f2p8h85b]
Compared fields for: beginDate
Expected values: [1993-12-01T00:00:00.000Z]
Actual values: [1993-12-01T00:00:00.000Z]
Compared fields for: presentationCat
Expected values: [Maps and Data]
Actual values: [Maps and Data]
Compared fields for: site
Expected values: [The study site is located 56 km north of Bangor, Maine in Penobscot County (45 12'N, 68 44'W). The area is within the 7000 ha Northern Experimental Forest (NEF) owned by International Paper.]
Actual values: [The study site is located 56 km north of Bangor, Maine in Penobscot County (45 12'N, 68 44'W). The area is within the 7000 ha Northern Experimental Forest (NEF) owned by International Paper.]
Compared fields for: phylum
Expected values: []
Actual values: []
Compared fields for: genus
Expected values: []
Actual values: []
Compared fields for: species
Expected values: []
Actual values: []
Compared fields for: webUrl
Expected values: [http://fedwww.gsfc.nasa.gov/]
Actual values: [http://fedwww.gsfc.nasa.gov/]
Compared fields for: eastBoundCoord
Expected values: [-68.0]
Actual values: [-68.0]
Compared fields for: southBoundCoord
Expected values: [45.0]
Actual values: [45.0]
Compared fields for: attributeLabel
Expected values: []
Actual values: []
Compared fields for: family
Expected values: []
Actual values: []
Compared fields for: rightsHolder
Expected values: [uid=nikkis,o=SAEON,dc=ecoinformatics,dc=org]
Actual values: [uid=nikkis,o=SAEON,dc=ecoinformatics,dc=org]
Compared fields for: submitter
Expected values: [uid=nikkis,o=SAEON,dc=ecoinformatics,dc=org]
Actual values: [uid=nikkis,o=SAEON,dc=ecoinformatics,dc=org]
Compared fields for: fileName
Expected values: []
Actual values: []
Compared fields for: dateUploaded
Expected values: [2010-02-26T00:00:00.000Z]
Actual values: [2010-02-26T00:00:00.000Z]
Compared fields for: seriesId
Expected values: []
Actual values: []
Compared fields for: obsoletedBy
Expected values: []
Actual values: []
Compared fields for: replicaMN
Expected values: []
Actual values: []
Compared fields for: changePermission
Expected values: []
Actual values: []
Compared fields for: readPermission
Expected values: [public]
Actual values: [public]
Compared fields for: checksum
Expected values: [19021f947d54c11d1a4bad8725c827d5]
Actual values: [19021f947d54c11d1a4bad8725c827d5]
Compared fields for: replicationAllowed
Expected values: [false]
Actual values: [false]
Compared fields for: isPublic
Expected values: [true]
Actual values: [true]
Compared fields for: id
Expected values: [nikkis.180.1]
Actual values: [nikkis.180.1]
Compared fields for: formatType
Expected values: [METADATA]
Actual values: [METADATA]
Compared fields for: authoritativeMN
Expected values: [urn:node:SANPARKS]
Actual values: [urn:node:SANPARKS]
Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/nikkis.180.1]
Actual values: [https://cn.dataone.org/cn/v2/resolve/nikkis.180.1]
Compared fields for: dateModified
Expected values: [2012-06-15T02:50:07.060Z]
Actual values: [2012-06-15T02:50:07.060Z]
Compared fields for: mediaType
Expected values: []
Actual values: []
Compared fields for: checksumAlgorithm
Expected values: [MD5]
Actual values: [MD5]
Compared fields for: mediaTypeProperty
Expected values: []
Actual values: []
Compared fields for: numberReplicas
Expected values: []
Actual values: []
Compared fields for: obsoletes
Expected values: []
Actual values: []
Compared fields for: replicaVerifiedDate
Expected values: []
Actual values: []
Compared fields for: formatId
Expected values: [http://www.esri.com/metadata/esriprof80.dtd]
Actual values: [http://www.esri.com/metadata/esriprof80.dtd]
Compared fields for: preferredReplicationMN
Expected values: []
Actual values: []
Compared fields for: size
Expected values: [12575]
Actual values: [12575]
Compared fields for: datasource
Expected values: [urn:node:SANPARKS]
Actual values: [urn:node:SANPARKS]
Compared fields for: blockedReplicationMN
Expected values: []
Actual values: []
Compared fields for: writePermission
Expected values: []
Actual values: []
Compared fields for: keywords
Expected values: [Ndlovu SAEON Node, SAEON, South Africa, Kruger to Canoyns, biosphere, k2c, lowveld]
Actual values: [Ndlovu SAEON Node, SAEON, South Africa, Kruger to Canoyns, biosphere, k2c, lowveld]
Compared fields for: purpose
Expected values: [Delinate boundaries based on agreement with stakeholders and municipalities]
Actual values: [Delinate boundaries based on agreement with stakeholders and municipalities]
Compared fields for: endDate
Expected values: []
Actual values: []
Compared fields for: scientificName
Expected values: []
Actual values: []
Compared fields for: authorSurName
Expected values: [Debby Thomson]
Actual values: [Debby Thomson]
Compared fields for: origin
Expected values: [Debby Thomson]
Actual values: [Debby Thomson]
Compared fields for: gcmdKeyword
Expected values: []
Actual values: []
Compared fields for: edition
Expected values: []
Actual values: []
Compared fields for: attributeDescription
Expected values: [Internal feature number., Feature geometry.]
Actual values: [Internal feature number., Feature geometry.]
Compared fields for: title
Expected values: [K2C_Biosphere]
Actual values: [K2C_Biosphere]
Compared fields for: northBoundCoord
Expected values: [-23.726981]
Actual values: [-23.726981]
Compared fields for: geoform
Expected values: [vector digital data]
Actual values: [vector digital data]
Compared fields for: investigator
Expected values: [Debby Thomson]
Actual values: [Debby Thomson]
Compared fields for: placeKey
Expected values: [k2c, lowveld]
Actual values: [k2c, lowveld]
Compared fields for: westBoundCoord
Expected values: [29.92057]
Actual values: [29.92057]
Compared fields for: authorSurNameSort
Expected values: [Debby Thomson]
Actual values: [Debby Thomson]
Compared fields for: attributeName
Expected values: [FID, Shape, Id]
Actual values: [FID, Shape, Id]
Compared fields for: text
Expected values: [20100106 11110600 FALSE 20100226 11173900 20100226 11173900 {57F8DBAE-74A0-4AF4-BD76-9D78053A6627} Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.0.1770 en Shape file created to delineate the boundary of the UNESCO Kruger to Canyons Biosphere Region. Delinate boundaries based on agreement with stakeholders and municipalities Debby Thomson March 2008 K2C_Biosphere K2C_Biosphere vector digital data \\NSTEVENS-NB1\D$\GIS data\Boundaries\K2C_Biosphere.shp 2 publication date March 2008 Complete Irregular 29.920570 32.041175 -23.726981 -25.064201 29.920570 32.041175 -25.064201 -23.726981 REQUIRED: Reference to a formally registered thesaurus or a similar authoritative source of theme keywords. Ndlovu SAEON Node SAEON, South Africa Kruger to Canoyns biosphere k2c lowveld Freely accessible REQUIRED: Restrictions and legal prerequisites for using the data set after access is granted. Shapefile Debby Thompson Kruger to Canyons Biosphere region Project manager info@bushveldconnections.co.za Initial map preparation: Prof Willem van der Riet and Craig Beech (GIS Business Soultions August 2000. Final map presentation: Debby Thompson, Hoedspruit Jan 2001Update of map: Debby Thompson, Hoedspruit, March 2008 Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.0.1770 K2C_Biosphere 29.92057 32.041175 -23.726981 -25.064201 1 29.92057 32.041175 -23.726981 -25.064201 1 Nikki Stevens nikkis.180.1 DBF K2C_Biosphere.dbf nikkis.182.1 SBX K2C_Biosphere.sbx nikkis.183.1 PRJ K2C_Biosphere.prj nikkis.184.1 SHP K2C_Biosphere.shp nikkis.181.1 K2C_Biosphere.shp.xml en FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time REQUIRED: The person responsible for the metadata information. REQUIRED: The organization responsible for the metadata information. REQUIRED: The mailing and/or physical address for the organization or individual. REQUIRED: The city of the address. REQUIRED: The state or province of the address. REQUIRED: The ZIP or other postal code of the address. REQUIRED: The telephone number by which individuals can speak to the organization or individual. 20100226 http://www.esri.com/metadata/esriprof80.html ESRI Metadata Profile ISO 19115 Geographic Information - Metadata DIS_ESRI1.0 dataset Downloadable Data 0.003 0.003 002 file://\\NSTEVENS-NB1\D$\GIS data\Boundaries\K2C_Biosphere.shp Local Area Network 0.003 Shapefile Vector Simple Polygon FALSE 1 TRUE FALSE G-polygon 1 GCS_WGS_1984 Decimal degrees 0.000000 0.000000 D_WGS_1984 WGS_1984 6378137.000000 298.257224 GCS_WGS_1984 1 K2C_Biosphere Feature Class 1 FID FID OID 4 0 0 Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. ESRI Coordinates defining the features. Id Id Number 6 20100226 Shape file was based rtaced from a georeferenced map. Inaccuracies will occur 20m Dataset copied. F:\k2c\K2C_Biosphere 20100106 11110600 nikkis.180.1]
Actual values: [20100106 11110600 FALSE 20100226 11173900 20100226 11173900 {57F8DBAE-74A0-4AF4-BD76-9D78053A6627} Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.0.1770 en Shape file created to delineate the boundary of the UNESCO Kruger to Canyons Biosphere Region. Delinate boundaries based on agreement with stakeholders and municipalities Debby Thomson March 2008 K2C_Biosphere K2C_Biosphere vector digital data \\NSTEVENS-NB1\D$\GIS data\Boundaries\K2C_Biosphere.shp 2 publication date March 2008 Complete Irregular 29.920570 32.041175 -23.726981 -25.064201 29.920570 32.041175 -25.064201 -23.726981 REQUIRED: Reference to a formally registered thesaurus or a similar authoritative source of theme keywords. Ndlovu SAEON Node SAEON, South Africa Kruger to Canoyns biosphere k2c lowveld Freely accessible REQUIRED: Restrictions and legal prerequisites for using the data set after access is granted. Shapefile Debby Thompson Kruger to Canyons Biosphere region Project manager info@bushveldconnections.co.za Initial map preparation: Prof Willem van der Riet and Craig Beech (GIS Business Soultions August 2000. Final map presentation: Debby Thompson, Hoedspruit Jan 2001Update of map: Debby Thompson, Hoedspruit, March 2008 Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.0.1770 K2C_Biosphere 29.92057 32.041175 -23.726981 -25.064201 1 29.92057 32.041175 -23.726981 -25.064201 1 Nikki Stevens nikkis.180.1 DBF K2C_Biosphere.dbf nikkis.182.1 SBX K2C_Biosphere.sbx nikkis.183.1 PRJ K2C_Biosphere.prj nikkis.184.1 SHP K2C_Biosphere.shp nikkis.181.1 K2C_Biosphere.shp.xml en FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time REQUIRED: The person responsible for the metadata information. REQUIRED: The organization responsible for the metadata information. REQUIRED: The mailing and/or physical address for the organization or individual. REQUIRED: The city of the address. REQUIRED: The state or province of the address. REQUIRED: The ZIP or other postal code of the address. REQUIRED: The telephone number by which individuals can speak to the organization or individual. 20100226 http://www.esri.com/metadata/esriprof80.html ESRI Metadata Profile ISO 19115 Geographic Information - Metadata DIS_ESRI1.0 dataset Downloadable Data 0.003 0.003 002 file://\\NSTEVENS-NB1\D$\GIS data\Boundaries\K2C_Biosphere.shp Local Area Network 0.003 Shapefile Vector Simple Polygon FALSE 1 TRUE FALSE G-polygon 1 GCS_WGS_1984 Decimal degrees 0.000000 0.000000 D_WGS_1984 WGS_1984 6378137.000000 298.257224 GCS_WGS_1984 1 K2C_Biosphere Feature Class 1 FID FID OID 4 0 0 Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. ESRI Coordinates defining the features. Id Id Number 6 20100226 Shape file was based rtaced from a georeferenced map. Inaccuracies will occur 20m Dataset copied. F:\k2c\K2C_Biosphere 20100106 11110600 nikkis.180.1]
Compared fields for: attribute
Expected values: [FID FID Internal feature number., Shape Shape Feature geometry., Id Id]
Actual values: [FID FID Internal feature number., Shape Shape Feature geometry., Id Id]
Compared fields for: class
Expected values: []
Actual values: []
Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/nikkis.180.1]
Actual values: [https://cn.dataone.org/cn/v2/resolve/nikkis.180.1]
Compared fields for: order
Expected values: []
Actual values: []
Compared fields for: geohash_7
Expected values: [kewj0yz]
Actual values: [kewj0yz]
Compared fields for: geohash_6
Expected values: [kewj0y]
Actual values: [kewj0y]
Compared fields for: contactOrganization
Expected values: []
Actual values: []
Compared fields for: attributeUnit
Expected values: []
Actual values: []
Compared fields for: geohash_5
Expected values: [kewj0]
Actual values: [kewj0]
Compared fields for: geohash_4
Expected values: [kewj]
Actual values: [kewj]
Compared fields for: geohash_3
Expected values: [kew]
Actual values: [kew]
Compared fields for: geohash_2
Expected values: [ke]
Actual values: [ke]
Compared fields for: author
Expected values: [Debby Thomson]
Actual values: [Debby Thomson]
Compared fields for: geohash_1
Expected values: [k]
Actual values: [k]
Compared fields for: abstract
Expected values: [Shape file created to delineate the boundary of the UNESCO Kruger to Canyons Biosphere Region.]
Actual values: [Shape file created to delineate the boundary of the UNESCO Kruger to Canyons Biosphere Region.]
Compared fields for: pubDate
Expected values: [2008-03-01T00:00:00.000Z]
Actual values: [2008-03-01T00:00:00.000Z]
Compared fields for: kingdom
Expected values: []
Actual values: []
Compared fields for: geohash_9
Expected values: [kewj0yzt6]
Actual values: [kewj0yzt6]
Compared fields for: geohash_8
Expected values: [kewj0yzt]
Actual values: [kewj0yzt]
Compared fields for: presentationCat
Expected values: [vector digital data]
Actual values: [vector digital data]
Compared fields for: beginDate
Expected values: []
Actual values: []
Compared fields for: site
Expected values: []
Actual values: []
Compared fields for: phylum
Expected values: []
Actual values: []
Compared fields for: genus
Expected values: []
Actual values: []
Compared fields for: species
Expected values: []
Actual values: []
Compared fields for: webUrl
Expected values: [\\NSTEVENS-NB1\D$\GIS data\Boundaries\K2C_Biosphere.shp]
Actual values: [\\NSTEVENS-NB1\D$\GIS data\Boundaries\K2C_Biosphere.shp]
Compared fields for: eastBoundCoord
Expected values: [32.041175]
Actual values: [32.041175]
Compared fields for: southBoundCoord
Expected values: [-25.064201]
Actual values: [-25.064201]
Compared fields for: attributeLabel
Expected values: [FID, Shape, Id]
Actual values: [FID, Shape, Id]
Compared fields for: family
Expected values: []
Actual values: []
Compared fields for: rightsHolder
Expected values: [CN=mnEDORA,DC=dataone,DC=org]
Actual values: [CN=mnEDORA,DC=dataone,DC=org]
Compared fields for: submitter
Expected values: [CN=mnEDORA,DC=dataone,DC=org]
Actual values: [CN=mnEDORA,DC=dataone,DC=org]
Compared fields for: fileName
Expected values: []
Actual values: []
Compared fields for: dateUploaded
Expected values: [2014-06-11T09:33:32.000Z]
Actual values: [2014-06-11T09:33:32.000Z]
Compared fields for: seriesId
Expected values: []
Actual values: []
Compared fields for: obsoletedBy
Expected values: []
Actual values: []
Compared fields for: replicaMN
Expected values: []
Actual values: []
Compared fields for: changePermission
Expected values: []
Actual values: []
Compared fields for: readPermission
Expected values: [public]
Actual values: [public]
Compared fields for: checksum
Expected values: [8151041c5f77f89b05004272ed94d463]
Actual values: [8151041c5f77f89b05004272ed94d463]
Compared fields for: replicationAllowed
Expected values: []
Actual values: []
Compared fields for: isPublic
Expected values: [true]
Actual values: [true]
Compared fields for: id
Expected values: [Map_ORR_Aspect_2m_1993.xml]
Actual values: [Map_ORR_Aspect_2m_1993.xml]
Compared fields for: formatType
Expected values: [METADATA]
Actual values: [METADATA]
Compared fields for: authoritativeMN
Expected values: [urn:node:mnEDORA]
Actual values: [urn:node:mnEDORA]
Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/Map_ORR_Aspect_2m_1993.xml]
Actual values: [https://cn.dataone.org/cn/v2/resolve/Map_ORR_Aspect_2m_1993.xml]
Compared fields for: dateModified
Expected values: [2014-06-11T09:33:32.000Z]
Actual values: [2014-06-11T09:33:32.000Z]
Compared fields for: mediaType
Expected values: []
Actual values: []
Compared fields for: checksumAlgorithm
Expected values: [MD5]
Actual values: [MD5]
Compared fields for: mediaTypeProperty
Expected values: []
Actual values: []
Compared fields for: numberReplicas
Expected values: []
Actual values: []
Compared fields for: obsoletes
Expected values: []
Actual values: []
Compared fields for: replicaVerifiedDate
Expected values: []
Actual values: []
Compared fields for: formatId
Expected values: [http://purl.org/ornl/schema/mercury/terms/v1.0]
Actual values: [http://purl.org/ornl/schema/mercury/terms/v1.0]
Compared fields for: preferredReplicationMN
Expected values: []
Actual values: []
Compared fields for: size
Expected values: [7424]
Actual values: [7424]
Compared fields for: datasource
Expected values: [urn:node:mnEDORA]
Actual values: [urn:node:mnEDORA]
Compared fields for: blockedReplicationMN
Expected values: []
Actual values: []
Compared fields for: writePermission
Expected values: []
Actual values: []
Compared fields for: keywords
Expected values: [TERRAIN ELEVATION|CAMERA|HELICOPTER, TERRAIN ELEVATION, HELICOPTER, CAMERA, Oak Ridge Reservation, TN, USA]
Actual values: [TERRAIN ELEVATION|CAMERA|HELICOPTER, TERRAIN ELEVATION, HELICOPTER, CAMERA, Oak Ridge Reservation, TN, USA]
Compared fields for: endDate
Expected values: [1993-04-01T00:00:00.000Z]
Actual values: [1993-04-01T00:00:00.000Z]
Compared fields for: purpose
Expected values: []
Actual values: []
Compared fields for: scientificName
Expected values: []
Actual values: []
Compared fields for: authorSurName
Expected values: [Henley, Marsha]
Actual values: [Henley, Marsha]
Compared fields for: origin
Expected values: [Henley, Marsha, Harris, Melinda H.]
Actual values: [Henley, Marsha, Harris, Melinda H.]
Compared fields for: gcmdKeyword
Expected values: []
Actual values: []
Compared fields for: edition
Expected values: []
Actual values: []
Compared fields for: attributeDescription
Expected values: []
Actual values: []
Compared fields for: title
Expected values: [Map ORR Aspect 2m 1993]
Actual values: [Map ORR Aspect 2m 1993]
Compared fields for: northBoundCoord
Expected values: [36.0]
Actual values: [36.0]
Compared fields for: investigator
Expected values: [Henley, Marsha, Harris, Melinda H.]
Actual values: [Henley, Marsha, Harris, Melinda H.]
Compared fields for: geoform
Expected values: []
Actual values: []
Compared fields for: placeKey
Expected values: [Oak Ridge Reservation, TN, USA]
Actual values: [Oak Ridge Reservation, TN, USA]
Compared fields for: westBoundCoord
Expected values: [-84.19]
Actual values: [-84.19]
Compared fields for: authorSurNameSort
Expected values: [Henley, Marsha]
Actual values: [Henley, Marsha]
Compared fields for: attributeName
Expected values: []
Actual values: []
Compared fields for: text
Expected values: [Henley, Marsha Harris, Melinda H. Map ORR Aspect 2m 1993 http://daac.ornl.gov/data/bluangel_harvest/WBW/gibbs/metadata/Map_ORR_Aspect_2m_1993.xmlftp://ftp.esd.ornl.gov/pub/orr/Maps/Topography/ORR/Aspect/Browse%20ORR%20Aspect.html This raster map the Oak Ridge Reservation identifies the aspect or the steepest down-slope direction from each cell to its neighbors. The aspect map was created from the Digital Elevation Model (DEM) produced by Melanie Harris (Qsystems). She created the DEM from a Digital Terrain Model (DTM) created from aerial photography taken during leaf-off in April of 1993. The aerial photographs were flown at 7200' Above Ground Level resulting in a nominal scale of 1:14400. The data were compiled at 1:2,400 scale (1=200') yielding the +/- 2.32m error. The original DTM was created as part of the DOE Basemapping and Imagery project for the Oak Ridge Environmental Restoration program. 19930401 19930401 Final As appropriate -84.19 84.44 36 -35.87 Parameter_Sensor_Source TERRAIN ELEVATION|CAMERA|HELICOPTER Parameter TERRAIN ELEVATION Source HELICOPTER Sensor CAMERA Place Keywords Oak Ridge Reservation, TN, USA Henley, Marsha 6.1.10.8 Contact Electronic Mail: INTERNET > mhenley@qsystems.net Environmental Sciences Division, Oak Ridge National Laboratory Gibbs, Holly K. (865) 574-7356 6.1.10.8 Contact Electronic Mail: INTERNET > mhenley@qsystems.net gibbshk@ornl.gov ftp://ftp.esd.ornl.gov/pub/orr/ Public 20020413 162015 Gibbs, Holly K. Gibbs, Holly K. (865) 574-7356 gibbshk@ornl.gov FGDC Content Standard for Digital Geospatial Metadata 19930401 19930401 Oak Ridge Reservation, TN, USA -84.19 84.44 36 -35.87 Aspect Elevation Oak Ridge Reservation GIS Raster Digital Elevation Model Topography TERRAIN ELEVATION CAMERA HELICOPTER TOPOGRAPHY LAND SURFACE The Oak Ridge Reservation Bioenergy and Carbon Sequestration Initiative; managed by Robin L. Graham HELICOPTER|CAMERA|TERRAIN ELEVATION Henley, Marsha mhenley@qsystems.net Harris, Melinda H. Harrism@qsystems.net ftp://ftp.esd.ornl.gov/pub/orr/Maps/Topography/ORR/Aspect/ Download Aspect data set ftp://ftp.esd.ornl.gov/pub/orr/Maps/Topography/ORR/Aspect/Browse%20ORR%20Aspect.html Browse image and metadata Version 2.4.04a, Revision Date: 19 Mar 2002 metadata20.dtd gibbshk@ornl.gov Gibbs, Holly K. (865) 574-7356 N/A 20140610 Created 20020413 161719 by 160.91.16.106 Raster 12119.4381 ftp://ftp.esd.ornl.gov/pub/orr/Maps/Topography/ORR/Aspect/Browse%20ORR%20Aspect.html Browse image and metadata Map_ORR_Aspect_2m_1993.xml]
Actual values: [Henley, Marsha Harris, Melinda H. Map ORR Aspect 2m 1993 http://daac.ornl.gov/data/bluangel_harvest/WBW/gibbs/metadata/Map_ORR_Aspect_2m_1993.xmlftp://ftp.esd.ornl.gov/pub/orr/Maps/Topography/ORR/Aspect/Browse%20ORR%20Aspect.html This raster map the Oak Ridge Reservation identifies the aspect or the steepest down-slope direction from each cell to its neighbors. The aspect map was created from the Digital Elevation Model (DEM) produced by Melanie Harris (Qsystems). She created the DEM from a Digital Terrain Model (DTM) created from aerial photography taken during leaf-off in April of 1993. The aerial photographs were flown at 7200' Above Ground Level resulting in a nominal scale of 1:14400. The data were compiled at 1:2,400 scale (1=200') yielding the +/- 2.32m error. The original DTM was created as part of the DOE Basemapping and Imagery project for the Oak Ridge Environmental Restoration program. 19930401 19930401 Final As appropriate -84.19 84.44 36 -35.87 Parameter_Sensor_Source TERRAIN ELEVATION|CAMERA|HELICOPTER Parameter TERRAIN ELEVATION Source HELICOPTER Sensor CAMERA Place Keywords Oak Ridge Reservation, TN, USA Henley, Marsha 6.1.10.8 Contact Electronic Mail: INTERNET > mhenley@qsystems.net Environmental Sciences Division, Oak Ridge National Laboratory Gibbs, Holly K. (865) 574-7356 6.1.10.8 Contact Electronic Mail: INTERNET > mhenley@qsystems.net gibbshk@ornl.gov ftp://ftp.esd.ornl.gov/pub/orr/ Public 20020413 162015 Gibbs, Holly K. Gibbs, Holly K. (865) 574-7356 gibbshk@ornl.gov FGDC Content Standard for Digital Geospatial Metadata 19930401 19930401 Oak Ridge Reservation, TN, USA -84.19 84.44 36 -35.87 Aspect Elevation Oak Ridge Reservation GIS Raster Digital Elevation Model Topography TERRAIN ELEVATION CAMERA HELICOPTER TOPOGRAPHY LAND SURFACE The Oak Ridge Reservation Bioenergy and Carbon Sequestration Initiative; managed by Robin L. Graham HELICOPTER|CAMERA|TERRAIN ELEVATION Henley, Marsha mhenley@qsystems.net Harris, Melinda H. Harrism@qsystems.net ftp://ftp.esd.ornl.gov/pub/orr/Maps/Topography/ORR/Aspect/ Download Aspect data set ftp://ftp.esd.ornl.gov/pub/orr/Maps/Topography/ORR/Aspect/Browse%20ORR%20Aspect.html Browse image and metadata Version 2.4.04a, Revision Date: 19 Mar 2002 metadata20.dtd gibbshk@ornl.gov Gibbs, Holly K. (865) 574-7356 N/A 20140610 Created 20020413 161719 by 160.91.16.106 Raster 12119.4381 ftp://ftp.esd.ornl.gov/pub/orr/Maps/Topography/ORR/Aspect/Browse%20ORR%20Aspect.html Browse image and metadata Map_ORR_Aspect_2m_1993.xml]
Compared fields for: attribute
Expected values: []
Actual values: []
Compared fields for: class
Expected values: []
Actual values: []
Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/Map_ORR_Aspect_2m_1993.xml]
Actual values: [https://cn.dataone.org/cn/v2/resolve/Map_ORR_Aspect_2m_1993.xml]
Compared fields for: order
Expected values: []
Actual values: []
Compared fields for: geohash_7
Expected values: [s0006gg]
Actual values: [s0006gg]
Compared fields for: contactOrganization
Expected values: [Environmental Sciences Division, Oak Ridge National Laboratory]
Actual values: [Environmental Sciences Division, Oak Ridge National Laboratory]
Compared fields for: geohash_6
Expected values: [s0006g]
Actual values: [s0006g]
Compared fields for: attributeUnit
Expected values: []
Actual values: []
Compared fields for: geohash_5
Expected values: [s0006]
Actual values: [s0006]
Compared fields for: geohash_4
Expected values: [s000]
Actual values: [s000]
Compared fields for: geohash_3
Expected values: [s00]
Actual values: [s00]
Compared fields for: geohash_2
Expected values: [s0]
Actual values: [s0]
Compared fields for: author
Expected values: [Henley, Marsha]
Actual values: [Henley, Marsha]
Compared fields for: geohash_1
Expected values: [s]
Actual values: [s]
Compared fields for: abstract
Expected values: [This raster map the Oak Ridge Reservation identifies the aspect or the steepest down-slope direction from each cell to its neighbors. The aspect map was created from the Digital Elevation Model (DEM) produced by Melanie Harris (Qsystems). She created the DEM from a Digital Terrain Model (DTM) created from aerial photography taken during leaf-off in April of 1993. The aerial photographs were flown at 7200' Above Ground Level resulting in a nominal scale of 1:14400. The data were compiled at 1:2,400 scale (1=200') yielding the +/- 2.32m error. The original DTM was created as part of the DOE Basemapping and Imagery project for the Oak Ridge Environmental Restoration program.]
Actual values: [This raster map the Oak Ridge Reservation identifies the aspect or the steepest down-slope direction from each cell to its neighbors. The aspect map was created from the Digital Elevation Model (DEM) produced by Melanie Harris (Qsystems). She created the DEM from a Digital Terrain Model (DTM) created from aerial photography taken during leaf-off in April of 1993. The aerial photographs were flown at 7200' Above Ground Level resulting in a nominal scale of 1:14400. The data were compiled at 1:2,400 scale (1=200') yielding the +/- 2.32m error. The original DTM was created as part of the DOE Basemapping and Imagery project for the Oak Ridge Environmental Restoration program.]
Compared fields for: kingdom
Expected values: []
Actual values: []
Compared fields for: pubDate
Expected values: []
Actual values: []
Compared fields for: geohash_9
Expected values: [s0006gg48]
Actual values: [s0006gg48]
Compared fields for: geohash_8
Expected values: [s0006gg4]
Actual values: [s0006gg4]
Compared fields for: beginDate
Expected values: [1993-04-01T00:00:00.000Z]
Actual values: [1993-04-01T00:00:00.000Z]
Compared fields for: presentationCat
Expected values: []
Actual values: []
Compared fields for: site
Expected values: []
Actual values: []
Compared fields for: phylum
Expected values: []
Actual values: []
Compared fields for: genus
Expected values: []
Actual values: []
Compared fields for: species
Expected values: []
Actual values: []
Compared fields for: webUrl
Expected values: [http://daac.ornl.gov/data/bluangel_harvest/WBW/gibbs/metadata/Map_ORR_Aspect_2m_1993.xml, ftp://ftp.esd.ornl.gov/pub/orr/Maps/Topography/ORR/Aspect/Browse%20ORR%20Aspect.html]
Actual values: [http://daac.ornl.gov/data/bluangel_harvest/WBW/gibbs/metadata/Map_ORR_Aspect_2m_1993.xml, ftp://ftp.esd.ornl.gov/pub/orr/Maps/Topography/ORR/Aspect/Browse%20ORR%20Aspect.html]
Compared fields for: eastBoundCoord
Expected values: [84.44]
Actual values: [84.44]
Compared fields for: southBoundCoord
Expected values: [-35.87]
Actual values: [-35.87]
Compared fields for: attributeLabel
Expected values: []
Actual values: []
Compared fields for: family
Expected values: []
Actual values: []
Tests run: 4, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.671 sec - in org.dataone.cn.index.SolrFieldXPathFgdcTest
Running org.dataone.cn.index.SolrFieldDublinCoreTest
Compared fields for: rightsHolder
Expected values: [CN=Judy Kallestad A13391,O=University of Minnesota,C=US,DC=cilogon,DC=org]
Actual values: [CN=Judy Kallestad A13391,O=University of Minnesota,C=US,DC=cilogon,DC=org]
Compared fields for: submitter
Expected values: [CN=urn:node:mnTestMPC,DC=dataone,DC=org]
Actual values: [CN=urn:node:mnTestMPC,DC=dataone,DC=org]
Compared fields for: fileName
Expected values: []
Actual values: []
Compared fields for: dateUploaded
Expected values: [2014-08-28T20:55:19.003Z]
Actual values: [2014-08-28T20:55:19.003Z]
Compared fields for: seriesId
Expected values: []
Actual values: []
Compared fields for: obsoletedBy
Expected values: []
Actual values: []
Compared fields for: replicaMN
Expected values: []
Actual values: []
Compared fields for: changePermission
Expected values: []
Actual values: []
Compared fields for: readPermission
Expected values: [public]
Actual values: [public]
Compared fields for: checksum
Expected values: [e5975f877816caea2f2be2e2f6b7ddc6]
Actual values: [e5975f877816caea2f2be2e2f6b7ddc6]
Compared fields for: replicationAllowed
Expected values: []
Actual values: []
Compared fields for: isPublic
Expected values: [true]
Actual values: [true]
Compared fields for: id
Expected values: [ipumsi_6-3_br_2000_dc.xml]
Actual values: [ipumsi_6-3_br_2000_dc.xml]
Compared fields for: formatType
Expected values: [METADATA]
Actual values: [METADATA]
Compared fields for: authoritativeMN
Expected values: [urn:node:mnTestMPC]
Actual values: [urn:node:mnTestMPC]
Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/ipumsi_6-3_br_2000_dc.xml]
Actual values: [https://cn.dataone.org/cn/v2/resolve/ipumsi_6-3_br_2000_dc.xml]
Compared fields for: dateModified
Expected values: [2014-08-28T20:55:19.034Z]
Actual values: [2014-08-28T20:55:19.034Z]
Compared fields for: mediaType
Expected values: []
Actual values: []
Compared fields for: checksumAlgorithm
Expected values: [MD5]
Actual values: [MD5]
Compared fields for: mediaTypeProperty
Expected values: []
Actual values: []
Compared fields for: numberReplicas
Expected values: []
Actual values: []
Compared fields for: obsoletes
Expected values: []
Actual values: []
Compared fields for: replicaVerifiedDate
Expected values: []
Actual values: []
Compared fields for: formatId
Expected values: [http://ns.dataone.org/metadata/schema/onedcx/v1.0]
Actual values: [http://ns.dataone.org/metadata/schema/onedcx/v1.0]
Compared fields for: preferredReplicationMN
Expected values: []
Actual values: []
Compared fields for: size
Expected values: [14949]
Actual values: [14949]
Compared fields for: datasource
Expected values: [urn:node:mnTestMPC]
Actual values: [urn:node:mnTestMPC]
Compared fields for: blockedReplicationMN
Expected values: []
Actual values: []
Compared fields for: writePermission
Expected values: []
Actual values: []
Compared fields for: keywords
Expected values: [Census, Technical Variables -- HOUSEHOLD, Group Quarters Variables -- HOUSEHOLD, Geography Variables -- HOUSEHOLD, Economic Variables -- HOUSEHOLD, Utilities Variables -- HOUSEHOLD, Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD, Dwelling Characteristics Variables -- HOUSEHOLD, Constructed Household Variables -- HOUSEHOLD, Imputation Flags Variables -- HOUSEHOLD, Technical Variables -- PERSON, Constructed Family Interrelationship Variables -- PERSON, Demographic Variables -- PERSON, Fertility and Mortality Variables -- PERSON, Nativity and Birthplace Variables -- PERSON, Ethnicity and Language Variables -- PERSON, Education Variables -- PERSON, Work Variables -- PERSON, Income Variables -- PERSON, Migration Variables -- PERSON, Disability Variables -- PERSON, Other Variables -- PERSON, Imputation Flags Variables -- PERSON, Work: Occupation Variables -- PERSON, Work: Industry Variables -- PERSON]
Actual values: [Census, Technical Variables -- HOUSEHOLD, Group Quarters Variables -- HOUSEHOLD, Geography Variables -- HOUSEHOLD, Economic Variables -- HOUSEHOLD, Utilities Variables -- HOUSEHOLD, Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD, Dwelling Characteristics Variables -- HOUSEHOLD, Constructed Household Variables -- HOUSEHOLD, Imputation Flags Variables -- HOUSEHOLD, Technical Variables -- PERSON, Constructed Family Interrelationship Variables -- PERSON, Demographic Variables -- PERSON, Fertility and Mortality Variables -- PERSON, Nativity and Birthplace Variables -- PERSON, Ethnicity and Language Variables -- PERSON, Education Variables -- PERSON, Work Variables -- PERSON, Income Variables -- PERSON, Migration Variables -- PERSON, Disability Variables -- PERSON, Other Variables -- PERSON, Imputation Flags Variables -- PERSON, Work: Occupation Variables -- PERSON, Work: Industry Variables -- PERSON]
Compared fields for: endDate
Expected values: [1999-09-25T06:40:00.000Z]
Actual values: [1999-09-25T06:40:00.000Z]
Compared fields for: authorSurName
Expected values: [Minnesota Population Center]
Actual values: [Minnesota Population Center]
Compared fields for: origin
Expected values: [Minnesota Population Center]
Actual values: [Minnesota Population Center]
Compared fields for: title
Expected values: [IPUMS-International: Brazil 2000 Census]
Actual values: [IPUMS-International: Brazil 2000 Census]
Compared fields for: northBoundCoord
Expected values: [5.273055]
Actual values: [5.273055]
Compared fields for: investigator
Expected values: [Minnesota Population Center]
Actual values: [Minnesota Population Center]
Compared fields for: westBoundCoord
Expected values: [-74.004097]
Actual values: [-74.004097]
Compared fields for: authorSurNameSort
Expected values: [Minnesota Population Center]
Actual values: [Minnesota Population Center]
Compared fields for: text
Expected values: [package Minnesota Population Center IPUMS-International: Brazil 2000 Census ipumsi_6.3_br_2000_DC.xml Census Technical Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Geography Variables -- HOUSEHOLD Economic Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Imputation Flags Variables -- HOUSEHOLD Technical Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Demographic Variables -- PERSON Fertility and Mortality Variables -- PERSON Nativity and Birthplace Variables -- PERSON Ethnicity and Language Variables -- PERSON Education Variables -- PERSON Work Variables -- PERSON Income Variables -- PERSON Migration Variables -- PERSON Disability Variables -- PERSON Other Variables -- PERSON Imputation Flags Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON 2014-09-15 2014-07-01 IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system. The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems. Detailed metadata will be found in ipumsi_6.3_br_2000_ddic.html within the Data Package. The related metadata describes the content of the extraction of the specified sample from the IPUMS International on-line extraction system. Record type; Country; Year; IPUMS sample identifier; Household serial number; Number of person records in the household; Household weight; Subsample number; Group quarters status; Number of unrelated persons; Urban-rural status; Continent and region of country; 1st subnational geographic level, world [consistent boundaries over time]; State, Brazil [Level 1; consistent boundaries over time]; State, Brazil [Level 1; inconsistent boundaries, harmonized by name]; Municipality, Brazil [Level 2; inconsistent boundaries, harmonized by name]; Region, Brazil; Mesoregion, Brazil; Municipality, Brazil -- compatible 1980-2000; Metropolitan region, Brazil; Ownership of dwelling [general version]; Ownership of dwelling [detailed version]; Land ownership; Electricity; Water supply; Sewage; Telephone availability; Trash disposal; Automobiles available; Air conditioning; Computer; Clothes washing machine; Refrigerator; Television set; Videocassette recorder; Radio in household; Number of rooms; Number of bedrooms; Number of bathrooms; Bathing facilities; Household classification; Number of families in household; Number of married couples in household; Number of mothers in household; Number of fathers in household; Head's location in household; State; Geographic region; Metropolitan region; Urban-rural status, detailed; Urban-rural status; Sector type; Number of males; Number of females; Dwelling type 1; Flag for dwelling type; Dwelling type 2; Flag for dwelling type 2; Number of rooms; Flag for number of rooms; Number of rooms serving as bedrooms; Flag for number of rooms serving as bedrooms; Ownership of dwelling; Flag for ownership of dwelling; Ownership of land; Flag for ownership of land; Water source; Flag for water supply; Piped water; Flag for piped water; Number of bathrooms; Flag for number of bathrooms; Toilet; Flag for toilet; Waste water; Flag for waste water; Destination of trash; Flag for destination of trash; Electricity; Flag for electricity; Radio; Flag for radio; Refrigerator or freezer; Flag for refrigerator or freezer; VCR (videocassette recorder); Flag for VCR; Clothes washing machine; Flag for clothes washing machine; Microwave oven; Flag for microwave oven; Telephone line installed; Flag for telephone line installed; Computer; Flag for computer; Number of televisions; Flag for number of televisions; Number of automobiles for private use; Flag for number of automobiles for private use; Number of air conditioning units; Flag for number of air conditioning units; Total number of people in the dwelling; Density of residents per room; Density of residents per bedroom; Number of people in family 1; Number of people in family 2; Number of people in family 3; Number of people in family 4; Number of people in family 5; Number of people in family 6; Number of people in family 7; Number of people in family 8; Number of people in family 9; Total income in the private dwelling; Total income in the private dwelling, in minimum salaries; Household weight; Record type [person version]; Country [person version]; Year [person version]; IPUMS sample identifier [person version]; Household serial number [person version]; Person number; Person weight; Mother's location in household; Father's location in household; Spouse's location in household; Rule for linking parent; Rule for linking spouse; Probable stepmother; Probable stepfather; Man with more than one wife linked; Woman is second or higher order wife; Family unit membership; Number of own family members in household; Number of own children in household; Number of own children under age 5 in household; Age of eldest own child in household; Age of youngest own child in household; Relationship to household head [general version]; Relationship to household head [detailed version]; Age; Age, grouped into intervals; Sex; Marital status [general version]; Marital status [detailed version]; Consensual union; Relationship to head of subfamily; Subfamily membership number; Children ever born; Children surviving; Nativity status; Country of birth; State of birth, Brazil; Religion [general version]; Religion [detailed version]; Race or color; Member of an indigenous group; School attendance; Literacy; Educational attainment, international recode [general version]; Educational attainment, international recode [detailed version]; Years of schooling; Educational attainment, Brazil; Employment status [general version]; Employment status [detailed version]; Occupation, ISCO general; Occupation, unrecoded; Industry, general recode; Industry, unrecoded; Class of worker [general version]; Class of worker [detailed version]; Hours worked per week; Hours worked per week, categorized; Hours worked in main occupation; Hours worked outside of main occupation; Total income; Earned income; Migration status, 5 years; Migration status, previous residence; Country of previous residence; Country of residence 5 years ago; Years residing in current locality; State of previous residence, Brazil; State of residence 5 years ago, Brazil; Years residing in current state, Brazil; Disability status; Blind or vision-impaired; Deaf or hearing-impaired; Disability affecting lower extremities; Mental disability; Person number; Metropolitan region; Respondent provided own information; Sex; Flag for sex; Relationship to head of household; Flag for relationship to head of household; Relationship to head of family; Flag for relationship to head of family; Family number; Flag for family number; Age; Flag for age; Age in months; Flag for age in months; Flag for age; Color or race; Flag for color or race; Religion, 2 digits; Religion, 3 digits; Flag for religion; Permanent mental problem; Flag for permanent mental problem; Ability to see; Flag for ability to see; Ability to hear; Flag for ability to hear; Ability to walk/climb stairs; Flag for ability to walk/climb stairs; Paralysis or loss of limb; Flag for paralysis or loss of limb; Always lived in this municipality; Flag for always lived in this municipality; Duration of residence in this municipality; Flag for duration of residence in this municipality; Was born in this municipality; Flag for born in this municipality; Born in this state; Flag for born in this state; Nationality; Flag for nationality; Year in which began residing in Brazil; Flag for year in which began residing in Brazil; State or country of birth; Flag for state or country of birth; Duration of residence in the state; Flag for duration of residence in the state; State or country of previous residence; Flag for state or country of previous residence; Residence on 31 July 1995; Flag for residence on 31 July 1995; Flagfor municipality of residence; State or country of residence on 31 July 1995; Flag for state or country of residence on 31 July 1995; Flag for municipality or state where work or study; Know how to read and write; Flag for know how to read and write; Attend school or daycare; Flag for attend school or daycare; Course being taken; Flag for course being taken; School year now attending; Flag for school year now attending; Highest course attended, having concluded at least one year; Flag for highest course attended; Last year of school passed; Flag for last year of school passed; Concluded course studied; Flag for concluded course studied; Flag for highest course concluded; Years of education; Live with spouse or partner; Flag for live with spouse or partner; Type of last union; Flag for type of last union; Marital status; Flag for marital status; Had remunerated work last week; Flag for had remunerated work last week; Had work but was off last week; Flag for had work but was off last week; Unpaid non-farm household or apprentice work last week; Flag for unpaid non-farm household or apprentice work last week; Unpaid farm labor last week; Flag for unpaid farm labor last week; Grew crops to feed household last week; Flag for grew crops to feed household last week; Number of jobs last week; Flag for number of jobs last week; Occupation, 1 digit; Occupation, 2 digits; Occupation, 3 digits; Occupation, 4 digits; Flag for occupation; Industry, 2 digits; Industry, 5 digits; Flag for industry; Class of worker; Flag for class of worker; Government employee or military personnel; Flag for government employee or military personnel; How many employees worked in this company; Flag for how many employees worked in this company; Contributor to the official social security; Flag for contributor to the official social security; Income in principal job; Flag for income in principal job; Gross monthly income in principal job; Flag for gross income in principal job; Total monthly income in principal job; Total income in principal job, in minimum salaries; Income in additional jobs; Flag for income in additional jobs; Gross monthly income in additional jobs; Flag for gross income in additional jobs; Total monthly income in additional jobs; Total monthly income in additional jobs, in minimum salaries; Total monthly income in all jobs; Total income in all jobs, in minimum salaries; Hours worked per week in principal job; Flag for hours worked per week in principal job; Hours worked in additional jobs; Flag for hours worked in additional jobs; Total hours worked; Efforts to find work; Flag for efforts to find work; Retired with government social security in July 2000; Flag for retired with government social security in July 2000; Earnings from retirement/pension; Flag for earnings from retirement/pension; Income from rents; Flag for income from rents; Earnings from alimony, allowance, donation; Flag for earnings from alimony, allowance, donation; Income from Federal minimum income program, school allowance, and unemployment insurance; Flag for income from federal minimum income program, school allowance, and unemployment insurance; Other income; Flag for other income; Total income; Total income, in minimum salaries; Total number of children born alive; Flag for total number of children born alive; Total number of children still alive; Age of last born child alive; Flag for age of last born child alive; Total number of children born dead; Flag for total number of children born dead; Total number of children the woman ever had; Flag for total number of children the woman ever had; Person weight; Brazil northlimit=5.273055; eastlimit=-34.792631; southlimit=-33.740641; westlimit=-74.004097; name=Brazil; start=1999-09-25T14:20+10:00; end=1999-09-25T16:40+10:00; scheme=W3C-DTF; http://international.ipums.org ipumsi_6.3_br_2000_ddic.xml ipumsi_6.3_br_2000_ddic_xml.html IPUMS-International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. (see http://international.ipums.org) ipumsi_6-3_br_2000_dc.xml]
Actual values: [package Minnesota Population Center IPUMS-International: Brazil 2000 Census ipumsi_6.3_br_2000_DC.xml Census Technical Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Geography Variables -- HOUSEHOLD Economic Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Imputation Flags Variables -- HOUSEHOLD Technical Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Demographic Variables -- PERSON Fertility and Mortality Variables -- PERSON Nativity and Birthplace Variables -- PERSON Ethnicity and Language Variables -- PERSON Education Variables -- PERSON Work Variables -- PERSON Income Variables -- PERSON Migration Variables -- PERSON Disability Variables -- PERSON Other Variables -- PERSON Imputation Flags Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON 2014-09-15 2014-07-01 IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system. The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems. Detailed metadata will be found in ipumsi_6.3_br_2000_ddic.html within the Data Package. The related metadata describes the content of the extraction of the specified sample from the IPUMS International on-line extraction system. Record type; Country; Year; IPUMS sample identifier; Household serial number; Number of person records in the household; Household weight; Subsample number; Group quarters status; Number of unrelated persons; Urban-rural status; Continent and region of country; 1st subnational geographic level, world [consistent boundaries over time]; State, Brazil [Level 1; consistent boundaries over time]; State, Brazil [Level 1; inconsistent boundaries, harmonized by name]; Municipality, Brazil [Level 2; inconsistent boundaries, harmonized by name]; Region, Brazil; Mesoregion, Brazil; Municipality, Brazil -- compatible 1980-2000; Metropolitan region, Brazil; Ownership of dwelling [general version]; Ownership of dwelling [detailed version]; Land ownership; Electricity; Water supply; Sewage; Telephone availability; Trash disposal; Automobiles available; Air conditioning; Computer; Clothes washing machine; Refrigerator; Television set; Videocassette recorder; Radio in household; Number of rooms; Number of bedrooms; Number of bathrooms; Bathing facilities; Household classification; Number of families in household; Number of married couples in household; Number of mothers in household; Number of fathers in household; Head's location in household; State; Geographic region; Metropolitan region; Urban-rural status, detailed; Urban-rural status; Sector type; Number of males; Number of females; Dwelling type 1; Flag for dwelling type; Dwelling type 2; Flag for dwelling type 2; Number of rooms; Flag for number of rooms; Number of rooms serving as bedrooms; Flag for number of rooms serving as bedrooms; Ownership of dwelling; Flag for ownership of dwelling; Ownership of land; Flag for ownership of land; Water source; Flag for water supply; Piped water; Flag for piped water; Number of bathrooms; Flag for number of bathrooms; Toilet; Flag for toilet; Waste water; Flag for waste water; Destination of trash; Flag for destination of trash; Electricity; Flag for electricity; Radio; Flag for radio; Refrigerator or freezer; Flag for refrigerator or freezer; VCR (videocassette recorder); Flag for VCR; Clothes washing machine; Flag for clothes washing machine; Microwave oven; Flag for microwave oven; Telephone line installed; Flag for telephone line installed; Computer; Flag for computer; Number of televisions; Flag for number of televisions; Number of automobiles for private use; Flag for number of automobiles for private use; Number of air conditioning units; Flag for number of air conditioning units; Total number of people in the dwelling; Density of residents per room; Density of residents per bedroom; Number of people in family 1; Number of people in family 2; Number of people in family 3; Number of people in family 4; Number of people in family 5; Number of people in family 6; Number of people in family 7; Number of people in family 8; Number of people in family 9; Total income in the private dwelling; Total income in the private dwelling, in minimum salaries; Household weight; Record type [person version]; Country [person version]; Year [person version]; IPUMS sample identifier [person version]; Household serial number [person version]; Person number; Person weight; Mother's location in household; Father's location in household; Spouse's location in household; Rule for linking parent; Rule for linking spouse; Probable stepmother; Probable stepfather; Man with more than one wife linked; Woman is second or higher order wife; Family unit membership; Number of own family members in household; Number of own children in household; Number of own children under age 5 in household; Age of eldest own child in household; Age of youngest own child in household; Relationship to household head [general version]; Relationship to household head [detailed version]; Age; Age, grouped into intervals; Sex; Marital status [general version]; Marital status [detailed version]; Consensual union; Relationship to head of subfamily; Subfamily membership number; Children ever born; Children surviving; Nativity status; Country of birth; State of birth, Brazil; Religion [general version]; Religion [detailed version]; Race or color; Member of an indigenous group; School attendance; Literacy; Educational attainment, international recode [general version]; Educational attainment, international recode [detailed version]; Years of schooling; Educational attainment, Brazil; Employment status [general version]; Employment status [detailed version]; Occupation, ISCO general; Occupation, unrecoded; Industry, general recode; Industry, unrecoded; Class of worker [general version]; Class of worker [detailed version]; Hours worked per week; Hours worked per week, categorized; Hours worked in main occupation; Hours worked outside of main occupation; Total income; Earned income; Migration status, 5 years; Migration status, previous residence; Country of previous residence; Country of residence 5 years ago; Years residing in current locality; State of previous residence, Brazil; State of residence 5 years ago, Brazil; Years residing in current state, Brazil; Disability status; Blind or vision-impaired; Deaf or hearing-impaired; Disability affecting lower extremities; Mental disability; Person number; Metropolitan region; Respondent provided own information; Sex; Flag for sex; Relationship to head of household; Flag for relationship to head of household; Relationship to head of family; Flag for relationship to head of family; Family number; Flag for family number; Age; Flag for age; Age in months; Flag for age in months; Flag for age; Color or race; Flag for color or race; Religion, 2 digits; Religion, 3 digits; Flag for religion; Permanent mental problem; Flag for permanent mental problem; Ability to see; Flag for ability to see; Ability to hear; Flag for ability to hear; Ability to walk/climb stairs; Flag for ability to walk/climb stairs; Paralysis or loss of limb; Flag for paralysis or loss of limb; Always lived in this municipality; Flag for always lived in this municipality; Duration of residence in this municipality; Flag for duration of residence in this municipality; Was born in this municipality; Flag for born in this municipality; Born in this state; Flag for born in this state; Nationality; Flag for nationality; Year in which began residing in Brazil; Flag for year in which began residing in Brazil; State or country of birth; Flag for state or country of birth; Duration of residence in the state; Flag for duration of residence in the state; State or country of previous residence; Flag for state or country of previous residence; Residence on 31 July 1995; Flag for residence on 31 July 1995; Flagfor municipality of residence; State or country of residence on 31 July 1995; Flag for state or country of residence on 31 July 1995; Flag for municipality or state where work or study; Know how to read and write; Flag for know how to read and write; Attend school or daycare; Flag for attend school or daycare; Course being taken; Flag for course being taken; School year now attending; Flag for school year now attending; Highest course attended, having concluded at least one year; Flag for highest course attended; Last year of school passed; Flag for last year of school passed; Concluded course studied; Flag for concluded course studied; Flag for highest course concluded; Years of education; Live with spouse or partner; Flag for live with spouse or partner; Type of last union; Flag for type of last union; Marital status; Flag for marital status; Had remunerated work last week; Flag for had remunerated work last week; Had work but was off last week; Flag for had work but was off last week; Unpaid non-farm household or apprentice work last week; Flag for unpaid non-farm household or apprentice work last week; Unpaid farm labor last week; Flag for unpaid farm labor last week; Grew crops to feed household last week; Flag for grew crops to feed household last week; Number of jobs last week; Flag for number of jobs last week; Occupation, 1 digit; Occupation, 2 digits; Occupation, 3 digits; Occupation, 4 digits; Flag for occupation; Industry, 2 digits; Industry, 5 digits; Flag for industry; Class of worker; Flag for class of worker; Government employee or military personnel; Flag for government employee or military personnel; How many employees worked in this company; Flag for how many employees worked in this company; Contributor to the official social security; Flag for contributor to the official social security; Income in principal job; Flag for income in principal job; Gross monthly income in principal job; Flag for gross income in principal job; Total monthly income in principal job; Total income in principal job, in minimum salaries; Income in additional jobs; Flag for income in additional jobs; Gross monthly income in additional jobs; Flag for gross income in additional jobs; Total monthly income in additional jobs; Total monthly income in additional jobs, in minimum salaries; Total monthly income in all jobs; Total income in all jobs, in minimum salaries; Hours worked per week in principal job; Flag for hours worked per week in principal job; Hours worked in additional jobs; Flag for hours worked in additional jobs; Total hours worked; Efforts to find work; Flag for efforts to find work; Retired with government social security in July 2000; Flag for retired with government social security in July 2000; Earnings from retirement/pension; Flag for earnings from retirement/pension; Income from rents; Flag for income from rents; Earnings from alimony, allowance, donation; Flag for earnings from alimony, allowance, donation; Income from Federal minimum income program, school allowance, and unemployment insurance; Flag for income from federal minimum income program, school allowance, and unemployment insurance; Other income; Flag for other income; Total income; Total income, in minimum salaries; Total number of children born alive; Flag for total number of children born alive; Total number of children still alive; Age of last born child alive; Flag for age of last born child alive; Total number of children born dead; Flag for total number of children born dead; Total number of children the woman ever had; Flag for total number of children the woman ever had; Person weight; Brazil northlimit=5.273055; eastlimit=-34.792631; southlimit=-33.740641; westlimit=-74.004097; name=Brazil; start=1999-09-25T14:20+10:00; end=1999-09-25T16:40+10:00; scheme=W3C-DTF; http://international.ipums.org ipumsi_6.3_br_2000_ddic.xml ipumsi_6.3_br_2000_ddic_xml.html IPUMS-International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. (see http://international.ipums.org) ipumsi_6-3_br_2000_dc.xml]
Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/ipumsi_6-3_br_2000_dc.xml]
Actual values: [https://cn.dataone.org/cn/v2/resolve/ipumsi_6-3_br_2000_dc.xml]
Compared fields for: geohash_7
Expected values: [6v3r40u]
Actual values: [6v3r40u]
Compared fields for: contactOrganization
Expected values: [Minnesota Population Center]
Actual values: [Minnesota Population Center]
Compared fields for: geohash_6
Expected values: [6v3r40]
Actual values: [6v3r40]
Compared fields for: geohash_5
Expected values: [6v3r4]
Actual values: [6v3r4]
Compared fields for: geohash_4
Expected values: [6v3r]
Actual values: [6v3r]
Compared fields for: geohash_3
Expected values: [6v3]
Actual values: [6v3]
Compared fields for: geohash_2
Expected values: [6v]
Actual values: [6v]
Compared fields for: author
Expected values: [Minnesota Population Center]
Actual values: [Minnesota Population Center]
Compared fields for: geohash_1
Expected values: [6]
Actual values: [6]
Compared fields for: abstract
Expected values: [IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system. The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems. Detailed metadata will be found in ipumsi_6.3_br_2000_ddic.html within the Data Package. The related metadata describes the content of the extraction of the specified sample from the IPUMS International on-line extraction system.]
Actual values: [IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system. The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems. Detailed metadata will be found in ipumsi_6.3_br_2000_ddic.html within the Data Package. The related metadata describes the content of the extraction of the specified sample from the IPUMS International on-line extraction system.]
Compared fields for: pubDate
Expected values: [2014-09-15T00:00:00.000Z]
Actual values: [2014-09-15T00:00:00.000Z]
Compared fields for: geohash_9
Expected values: [6v3r40u64]
Actual values: [6v3r40u64]
Compared fields for: geohash_8
Expected values: [6v3r40u6]
Actual values: [6v3r40u6]
Compared fields for: beginDate
Expected values: [1999-09-25T04:20:00.000Z]
Actual values: [1999-09-25T04:20:00.000Z]
Compared fields for: site
Expected values: [Brazil]
Actual values: [Brazil]
Compared fields for: southBoundCoord
Expected values: [-33.740641]
Actual values: [-33.740641]
Compared fields for: eastBoundCoord
Expected values: [-34.792631]
Actual values: [-34.792631]
Compared fields for: rightsHolder
Expected values: [CN=Judy Kallestad A13391,O=University of Minnesota,C=US,DC=cilogon,DC=org]
Actual values: [CN=Judy Kallestad A13391,O=University of Minnesota,C=US,DC=cilogon,DC=org]
Compared fields for: submitter
Expected values: [CN=urn:node:mnTestMPC,DC=dataone,DC=org]
Actual values: [CN=urn:node:mnTestMPC,DC=dataone,DC=org]
Compared fields for: fileName
Expected values: []
Actual values: []
Compared fields for: dateUploaded
Expected values: [2014-08-28T20:55:19.003Z]
Actual values: [2014-08-28T20:55:19.003Z]
Compared fields for: seriesId
Expected values: []
Actual values: []
Compared fields for: obsoletedBy
Expected values: []
Actual values: []
Compared fields for: replicaMN
Expected values: []
Actual values: []
Compared fields for: changePermission
Expected values: []
Actual values: []
Compared fields for: readPermission
Expected values: [public]
Actual values: [public]
Compared fields for: checksum
Expected values: [e5975f877816caea2f2be2e2f6b7ddc6]
Actual values: [e5975f877816caea2f2be2e2f6b7ddc6]
Compared fields for: replicationAllowed
Expected values: []
Actual values: []
Compared fields for: isPublic
Expected values: [true]
Actual values: [true]
Compared fields for: id
Expected values: [dcterms_spatial_no_namespace]
Actual values: [dcterms_spatial_no_namespace]
Compared fields for: formatType
Expected values: [METADATA]
Actual values: [METADATA]
Compared fields for: authoritativeMN
Expected values: [urn:node:mnTestMPC]
Actual values: [urn:node:mnTestMPC]
Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/dcterms_spatial_no_namespace]
Actual values: [https://cn.dataone.org/cn/v2/resolve/dcterms_spatial_no_namespace]
Compared fields for: dateModified
Expected values: [2014-08-28T20:55:19.034Z]
Actual values: [2014-08-28T20:55:19.034Z]
Compared fields for: mediaType
Expected values: []
Actual values: []
Compared fields for: checksumAlgorithm
Expected values: [MD5]
Actual values: [MD5]
Compared fields for: mediaTypeProperty
Expected values: []
Actual values: []
Compared fields for: numberReplicas
Expected values: []
Actual values: []
Compared fields for: obsoletes
Expected values: []
Actual values: []
Compared fields for: replicaVerifiedDate
Expected values: []
Actual values: []
Compared fields for: formatId
Expected values: [http://ns.dataone.org/metadata/schema/onedcx/v1.0]
Actual values: [http://ns.dataone.org/metadata/schema/onedcx/v1.0]
Compared fields for: preferredReplicationMN
Expected values: []
Actual values: []
Compared fields for: size
Expected values: [14949]
Actual values: [14949]
Compared fields for: datasource
Expected values: [urn:node:mnTestMPC]
Actual values: [urn:node:mnTestMPC]
Compared fields for: blockedReplicationMN
Expected values: []
Actual values: []
Compared fields for: writePermission
Expected values: []
Actual values: []
[ERROR] 2017-11-21 22:07:08,919 (org.dataone.cn.indexer.parser.utility.TemporalPeriodParsingUtility:parseDateTime:200)
[ERROR] 2017-11-21 22:07:08,919 (org.dataone.cn.indexer.parser.utility.TemporalPeriodParsingUtility:formatDate:178) Date string could not be parsed: null
[ERROR] 2017-11-21 22:07:08,920 (org.dataone.cn.indexer.parser.utility.TemporalPeriodParsingUtility:parseDateTime:200)
[ERROR] 2017-11-21 22:07:08,920 (org.dataone.cn.indexer.parser.utility.TemporalPeriodParsingUtility:formatDate:178) Date string could not be parsed: null
[ERROR] 2017-11-21 22:07:08,920 (org.dataone.cn.indexer.parser.TemporalPeriodSolrField:getFields:79) Couldn't extract 'start' or 'end' date for pid dcterms_spatial_no_namespace. Temporal pattern of type period needs to contain at least one of these. Value was:
Compared fields for: keywords
Expected values: [Zooarchaeology, Historic Archaeology, Diet Variability]
Actual values: [Zooarchaeology, Historic Archaeology, Diet Variability]
Compared fields for: endDate
Expected values: []
Actual values: []
Compared fields for: authorSurName
Expected values: [McClure, Sarah (Penn State University)]
Actual values: [McClure, Sarah (Penn State University)]
Compared fields for: origin
Expected values: [McClure, Sarah (Penn State University), Burns, Jonathan (Penn State University), Welker, Martin (Penn State University)]
Actual values: [McClure, Sarah (Penn State University), Burns, Jonathan (Penn State University), Welker, Martin (Penn State University)]
Compared fields for: title
Expected values: [Investigating Diet Variability at Early Fortifications in the American Colonies (Contributed Poster)]
Actual values: [Investigating Diet Variability at Early Fortifications in the American Colonies (Contributed Poster)]
Compared fields for: northBoundCoord
Expected values: [47.38374632398567]
Actual values: [47.38374632398567]
Compared fields for: investigator
Expected values: [McClure, Sarah (Penn State University), Burns, Jonathan (Penn State University), Welker, Martin (Penn State University)]
Actual values: [McClure, Sarah (Penn State University), Burns, Jonathan (Penn State University), Welker, Martin (Penn State University)]
Compared fields for: westBoundCoord
Expected values: [-80.8154296875]
Actual values: [-80.8154296875]
Compared fields for: authorSurNameSort
Expected values: [McClure, Sarah (Penn State University)]
Actual values: [McClure, Sarah (Penn State University)]
Compared fields for: text
Expected values: [Investigating Diet Variability at Early Fortifications in the American Colonies (Contributed Poster) McClure, Sarah (Penn State University) Burns, Jonathan (Penn State University) Welker, Martin (Penn State University) Zooarchaeology Historic Archaeology Diet Variability Document http://alpha.tdar.org/document/48602/investigating-diet-variability-at-early-fortifications-in-the-american-colonies-contributed-poster Text Society of American Archaeology Society of American Archaeology, San Francisco, California conference Variability in historic faunal assemblages is believed to be related to niche construction effects associated with the establishment and cultivation of Old World domesticated flora and fauna in the New World. Fort Shirley, a French and Indian War period fortification in Central Pennsylvania occupied during the mid 1750's, is an important case study in this picture as it was occupied during the introduction of domestic livestock to Central Pennsylvania. Published zooarchaeological analyses of historic fortifications elsewhere in the New World highlight significant contributions of locally abundant wild fauna to military diets. Statistical comparison of faunal assemblages from military installations dating to the French and Indian War (1754-1763), including Fort Shirley, the American Revolutionary War (1775-1783), and the War of 1812 (1812-1815) will test the hypothesis that diet breadth narrowed through time and was accompanied by increasing reliance on Old World domesticates. 2015-04-02T21:21:52-07:00 Investigating Diet Variability at Early Fortifications in the American Colonies (Contributed Poster). Sarah McClure, Jonathan Burns, Martin Welker. Presented at Society of American Archaeology, San Francisco, California. 2015 ( tDAR id: 48602) ; doi:10.6067/XCV848602 North America - Northeast northlimit=47.38374632398567; southlimit=39.30029918615029; westlimit=-80.8154296875; eastlimit=-66.76461662552896; 2015 dcterms_spatial_no_namespace]
Actual values: [Investigating Diet Variability at Early Fortifications in the American Colonies (Contributed Poster) McClure, Sarah (Penn State University) Burns, Jonathan (Penn State University) Welker, Martin (Penn State University) Zooarchaeology Historic Archaeology Diet Variability Document http://alpha.tdar.org/document/48602/investigating-diet-variability-at-early-fortifications-in-the-american-colonies-contributed-poster Text Society of American Archaeology Society of American Archaeology, San Francisco, California conference Variability in historic faunal assemblages is believed to be related to niche construction effects associated with the establishment and cultivation of Old World domesticated flora and fauna in the New World. Fort Shirley, a French and Indian War period fortification in Central Pennsylvania occupied during the mid 1750's, is an important case study in this picture as it was occupied during the introduction of domestic livestock to Central Pennsylvania. Published zooarchaeological analyses of historic fortifications elsewhere in the New World highlight significant contributions of locally abundant wild fauna to military diets. Statistical comparison of faunal assemblages from military installations dating to the French and Indian War (1754-1763), including Fort Shirley, the American Revolutionary War (1775-1783), and the War of 1812 (1812-1815) will test the hypothesis that diet breadth narrowed through time and was accompanied by increasing reliance on Old World domesticates. 2015-04-02T21:21:52-07:00 Investigating Diet Variability at Early Fortifications in the American Colonies (Contributed Poster). Sarah McClure, Jonathan Burns, Martin Welker. Presented at Society of American Archaeology, San Francisco, California. 2015 ( tDAR id: 48602) ; doi:10.6067/XCV848602 North America - Northeast northlimit=47.38374632398567; southlimit=39.30029918615029; westlimit=-80.8154296875; eastlimit=-66.76461662552896; 2015 dcterms_spatial_no_namespace]
Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/dcterms_spatial_no_namespace]
Actual values: [https://cn.dataone.org/cn/v2/resolve/dcterms_spatial_no_namespace]
Compared fields for: geohash_7
Expected values: [drew8f5]
Actual values: [drew8f5]
Compared fields for: contactOrganization
Expected values: [McClure, Sarah (Penn State University), Burns, Jonathan (Penn State University), Welker, Martin (Penn State University)]
Actual values: [McClure, Sarah (Penn State University), Burns, Jonathan (Penn State University), Welker, Martin (Penn State University)]
Compared fields for: geohash_6
Expected values: [drew8f]
Actual values: [drew8f]
Compared fields for: geohash_5
Expected values: [drew8]
Actual values: [drew8]
Compared fields for: geohash_4
Expected values: [drew]
Actual values: [drew]
Compared fields for: geohash_3
Expected values: [dre]
Actual values: [dre]
Compared fields for: geohash_2
Expected values: [dr]
Actual values: [dr]
Compared fields for: author
Expected values: [McClure, Sarah (Penn State University)]
Actual values: [McClure, Sarah (Penn State University)]
Compared fields for: geohash_1
Expected values: [d]
Actual values: [d]
Compared fields for: abstract
Expected values: [Variability in historic faunal assemblages is believed to be related to niche construction effects associated with the establishment and cultivation of Old World domesticated flora and fauna in the New World. Fort Shirley, a French and Indian War period fortification in Central Pennsylvania occupied during the mid 1750's, is an important case study in this picture as it was occupied during the introduction of domestic livestock to Central Pennsylvania. Published zooarchaeological analyses of historic fortifications elsewhere in the New World highlight significant contributions of locally abundant wild fauna to military diets. Statistical comparison of faunal assemblages from military installations dating to the French and Indian War (1754-1763), including Fort Shirley, the American Revolutionary War (1775-1783), and the War of 1812 (1812-1815) will test the hypothesis that diet breadth narrowed through time and was accompanied by increasing reliance on Old World domesticates.]
Actual values: [Variability in historic faunal assemblages is believed to be related to niche construction effects associated with the establishment and cultivation of Old World domesticated flora and fauna in the New World. Fort Shirley, a French and Indian War period fortification in Central Pennsylvania occupied during the mid 1750's, is an important case study in this picture as it was occupied during the introduction of domestic livestock to Central Pennsylvania. Published zooarchaeological analyses of historic fortifications elsewhere in the New World highlight significant contributions of locally abundant wild fauna to military diets. Statistical comparison of faunal assemblages from military installations dating to the French and Indian War (1754-1763), including Fort Shirley, the American Revolutionary War (1775-1783), and the War of 1812 (1812-1815) will test the hypothesis that diet breadth narrowed through time and was accompanied by increasing reliance on Old World domesticates.]
Compared fields for: pubDate
Expected values: []
Actual values: []
Compared fields for: geohash_9
Expected values: [drew8f5tx]
Actual values: [drew8f5tx]
Compared fields for: geohash_8
Expected values: [drew8f5t]
Actual values: [drew8f5t]
Compared fields for: beginDate
Expected values: []
Actual values: []
Compared fields for: site
Expected values: [North America - Northeast]
Actual values: [North America - Northeast]
Compared fields for: southBoundCoord
Expected values: [39.30029918615029]
Actual values: [39.30029918615029]
Compared fields for: eastBoundCoord
Expected values: [-66.76461662552896]
Actual values: [-66.76461662552896]
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.314 sec - in org.dataone.cn.index.SolrFieldDublinCoreTest
Running org.dataone.cn.index.SolrIndexReprocessTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 1, Time elapsed: 0.007 sec - in org.dataone.cn.index.SolrIndexReprocessTest
Running org.dataone.cn.index.SolrTokenenizerTest
Creating dataDir: /tmp/org.dataone.cn.index.SolrTokenenizerTest_D07E0FD6A1CAD9C1-001/init-core-data-001
[ WARN] 2017-11-21 22:07:09,577 (org.apache.solr.core.SolrResourceLoader:addToClassLoader:191) Can't find (or read) directory to add to classloader: lib (resolved as: /var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/lib).
[ WARN] 2017-11-21 22:07:09,929 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class SpatialRecursivePrefixTreeFieldType
[ WARN] 2017-11-21 22:07:09,929 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class BBoxField
[ WARN] 2017-11-21 22:07:09,960 (org.apache.solr.core.SolrCore:initIndex:541) [collection1] Solr index directory '/var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/collection1/data/index' doesn't exist. Creating new index...
[ WARN] 2017-11-21 22:07:09,978 (org.apache.solr.rest.ManagedResource:reloadFromStorage:182) No stored data found for /schema/analysis/synonyms/english
Tests run: 9, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 9.517 sec - in org.dataone.cn.index.SolrTokenenizerTest
Running org.dataone.cn.index.SolrFieldXPathEmlTest
Compared fields for: rightsHolder
Expected values: [dataone_integration_test_user]
Actual values: [dataone_integration_test_user]
Compared fields for: submitter
Expected values: [dataone_integration_test_user]
Actual values: [dataone_integration_test_user]
Compared fields for: fileName
Expected values: [fileName1.txt]
Actual values: [fileName1.txt]
Compared fields for: dateUploaded
Expected values: [2011-08-31T15:59:50.071Z]
Actual values: [2011-08-31T15:59:50.071Z]
Compared fields for: seriesId
Expected values: [peggym.130]
Actual values: [peggym.130]
Compared fields for: obsoletedBy
Expected values: [peggym.130.5]
Actual values: [peggym.130.5]
Compared fields for: replicaMN
Expected values: []
Actual values: []
Compared fields for: changePermission
Expected values: []
Actual values: []
Compared fields for: readPermission
Expected values: [public, dataone_test_user, dataone_public_user]
Actual values: [public, dataone_public_user, dataone_test_user]
Compared fields for: checksum
Expected values: [24426711d5385a9ffa583a13d07af2502884932f]
Actual values: [24426711d5385a9ffa583a13d07af2502884932f]
Compared fields for: replicationAllowed
Expected values: [true]
Actual values: [true]
Compared fields for: isPublic
Expected values: [true]
Actual values: [true]
Compared fields for: id
Expected values: [peggym.130.4]
Actual values: [peggym.130.4]
Compared fields for: formatType
Expected values: [METADATA]
Actual values: [METADATA]
Compared fields for: authoritativeMN
Expected values: [test_documents]
Actual values: [test_documents]
Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/peggym.130.4]
Actual values: [https://cn.dataone.org/cn/v2/resolve/peggym.130.4]
Compared fields for: mediaType
Expected values: [text/rdf]
Actual values: [text/rdf]
Compared fields for: dateModified
Expected values: [2011-08-31T15:59:50.072Z]
Actual values: [2011-08-31T15:59:50.072Z]
Compared fields for: checksumAlgorithm
Expected values: [SHA-1]
Actual values: [SHA-1]
Compared fields for: mediaTypeProperty
Expected values: [extension rdf, something cool]
Actual values: [extension rdf, something cool]
Compared fields for: obsoletes
Expected values: [peggym.130.3]
Actual values: [peggym.130.3]
Compared fields for: numberReplicas
Expected values: []
Actual values: []
Compared fields for: replicaVerifiedDate
Expected values: []
Actual values: []
Compared fields for: formatId
Expected values: [eml://ecoinformatics.org/eml-2.1.0]
Actual values: [eml://ecoinformatics.org/eml-2.1.0]
Compared fields for: preferredReplicationMN
Expected values: []
Actual values: []
Compared fields for: size
Expected values: [36281]
Actual values: [36281]
Compared fields for: datasource
Expected values: [test_documents]
Actual values: [test_documents]
Compared fields for: blockedReplicationMN
Expected values: []
Actual values: []
Compared fields for: writePermission
Expected values: [dataone_integration_test_user]
Actual values: [dataone_integration_test_user]
Compared fields for: keywords
Expected values: [SANParks, South Africa, Augrabies Falls National Park,South Africa, Census data, EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature]
Actual values: [SANParks, South Africa, Augrabies Falls National Park,South Africa, Census data, EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature]
Compared fields for: endDate
Expected values: [2004-02-13T00:00:00.000Z]
Actual values: [2004-02-13T00:00:00.000Z]
Compared fields for: scientificName
Expected values: [Antidorcas marsupialis, Cercopithecus aethiops, Diceros bicornis, Equus hartmannae, Giraffa camelopardalis, Oreotragus oreotragus, Oryz gazella, Papio hamadryas, Taurotragus oryx, Tragelaphus strepsiceros]
Actual values: [Antidorcas marsupialis, Cercopithecus aethiops, Diceros bicornis, Equus hartmannae, Giraffa camelopardalis, Oreotragus oreotragus, Oryz gazella, Papio hamadryas, Taurotragus oryx, Tragelaphus strepsiceros]
Compared fields for: authorSurName
Expected values: [SANParks]
Actual values: [SANParks]
Compared fields for: project
Expected values: []
Actual values: []
Compared fields for: authorLastName
Expected values: [SANParks, Garcia, Freeman]
Actual values: [SANParks, Garcia, Freeman]
Compared fields for: westBoundCoord
Expected values: [-120.31121]
Actual values: [-120.31121]
Compared fields for: authorSurNameSort
Expected values: [SANParks]
Actual values: [SANParks]
Compared fields for: text
Expected values: [Augrabies falls National Park census data. SANParks Garcia Freddy SANParks Regional Ecologists Private Bag x402 Skukuza, 1350 South Africa Freeman Gordon SANParks Regional Ecologists Private Bag x402 Skukuza, 1350 South Africa The Awesome Store Regional Ecologists Private Bag x402 Skukuza, 1350 South Africa This metadata record fred, describes a 12-34 TT-12 long-term data document can't frank. This is a test. If this was not a lower, an abstract "double" or 'single' would be present in UPPER (parenthized) this location. SANParks, South Africa Augrabies Falls National Park,South Africa Census data EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature Agulhas falls national Park -120.311210 -120.311210 26.0 26.0 1998 2004-02-13 Genus Antidorcas Species marsupialis Hartmans Zebra Genus Cercopithecus Species aethiops Vervet monkey Genus Diceros Species bicornis Baboon Genus Equus Species hartmannae Giraffe Genus Giraffa Species camelopardalis Kudu Genus Oreotragus Species oreotragus Gemsbok Genus Oryz Species gazella Eland Genus Papio Species hamadryas Genus Taurotragus Species oryx Black rhino Genus Tragelaphus Species strepsiceros Klipspringer 1251095992100 peggym.130.4 ID Lat S Long E Date Stratum Transect Species LatS LongE Total Juvenile L/R SumOfTotal SumOfJuvenile The ID Lat S Long E The date Stratum Transect The name of species LatS LongE The total Juvenile L/R Sum of the total Sum of juvenile The sum of total dimensionless]
Actual values: [Augrabies falls National Park census data. SANParks Garcia Freddy SANParks Regional Ecologists Private Bag x402 Skukuza, 1350 South Africa Freeman Gordon SANParks Regional Ecologists Private Bag x402 Skukuza, 1350 South Africa The Awesome Store Regional Ecologists Private Bag x402 Skukuza, 1350 South Africa This metadata record fred, describes a 12-34 TT-12 long-term data document can't frank. This is a test. If this was not a lower, an abstract "double" or 'single' would be present in UPPER (parenthized) this location. SANParks, South Africa Augrabies Falls National Park,South Africa Census data EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature Agulhas falls national Park -120.311210 -120.311210 26.0 26.0 1998 2004-02-13 Genus Antidorcas Species marsupialis Hartmans Zebra Genus Cercopithecus Species aethiops Vervet monkey Genus Diceros Species bicornis Baboon Genus Equus Species hartmannae Giraffe Genus Giraffa Species camelopardalis Kudu Genus Oreotragus Species oreotragus Gemsbok Genus Oryz Species gazella Eland Genus Papio Species hamadryas Genus Taurotragus Species oryx Black rhino Genus Tragelaphus Species strepsiceros Klipspringer 1251095992100 peggym.130.4 ID Lat S Long E Date Stratum Transect Species LatS LongE Total Juvenile L/R SumOfTotal SumOfJuvenile The ID Lat S Long E The date Stratum Transect The name of species LatS LongE The total Juvenile L/R Sum of the total Sum of juvenile The sum of total dimensionless]
Compared fields for: isService
Expected values: [false]
Actual values: [false]
Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/peggym.130.4]
Actual values: [https://cn.dataone.org/cn/v2/resolve/peggym.130.4]
Compared fields for: order
Expected values: []
Actual values: []
Compared fields for: author
Expected values: [SANParks]
Actual values: [SANParks]
Compared fields for: pubDate
Expected values: []
Actual values: []
Compared fields for: genus
Expected values: [Antidorcas, Cercopithecus, Diceros, Equus, Giraffa, Oreotragus, Oryz, Papio, Taurotragus, Tragelaphus]
Actual values: [Antidorcas, Cercopithecus, Diceros, Equus, Giraffa, Oreotragus, Oryz, Papio, Taurotragus, Tragelaphus]
Compared fields for: authorGivenName
Expected values: []
Actual values: []
Compared fields for: southBoundCoord
Expected values: [26.0]
Actual values: [26.0]
Compared fields for: attributeLabel
Expected values: []
Actual values: []
Compared fields for: origin
Expected values: [SANParks Freddy Garcia, Gordon Freeman, The Awesome Store]
Actual values: [SANParks Freddy Garcia, Gordon Freeman, The Awesome Store]
Compared fields for: attributeDescription
Expected values: [The ID, Lat S, Long E, The date, Stratum, Transect, The name of species, LatS, LongE, The total, Juvenile, L/R, The name of species, Stratum, The date, Sum of the total, Sum of juvenile, The name of species, The date, The sum of total, Sum of juvenile]
Actual values: [The ID, Lat S, Long E, The date, Stratum, Transect, The name of species, LatS, LongE, The total, Juvenile, L/R, The name of species, Stratum, The date, Sum of the total, Sum of juvenile, The name of species, The date, The sum of total, Sum of juvenile]
Compared fields for: serviceEndpoint
Expected values: []
Actual values: []
Compared fields for: title
Expected values: [Augrabies falls National Park census data.]
Actual values: [Augrabies falls National Park census data.]
Compared fields for: northBoundCoord
Expected values: [26.0]
Actual values: [26.0]
Compared fields for: investigator
Expected values: [SANParks, Garcia, Freeman]
Actual values: [SANParks, Garcia, Freeman]
Compared fields for: attributeName
Expected values: [ID, Lat S, Long E, Date, Stratum, Transect, Species, LatS, LongE, Total, Juvenile, L/R, Species, Stratum, Date, SumOfTotal, SumOfJuvenile, Species, Date, SumOfTotal, SumOfJuvenile]
Actual values: [ID, Lat S, Long E, Date, Stratum, Transect, Species, LatS, LongE, Total, Juvenile, L/R, Species, Stratum, Date, SumOfTotal, SumOfJuvenile, Species, Date, SumOfTotal, SumOfJuvenile]
Compared fields for: attribute
Expected values: [ID The ID dimensionless, Lat S Lat S dimensionless, Long E Long E dimensionless, Date The date, Stratum Stratum dimensionless, Transect Transect dimensionless, Species The name of species, LatS LatS dimensionless, LongE LongE dimensionless, Total The total dimensionless, Juvenile Juvenile dimensionless, L/R L/R dimensionless, Species The name of species, Stratum Stratum dimensionless, Date The date, SumOfTotal Sum of the total dimensionless, SumOfJuvenile Sum of juvenile dimensionless, Species The name of species, Date The date, SumOfTotal The sum of total dimensionless, SumOfJuvenile Sum of juvenile dimensionless]
Actual values: [ID The ID dimensionless, Lat S Lat S dimensionless, Long E Long E dimensionless, Date The date, Stratum Stratum dimensionless, Transect Transect dimensionless, Species The name of species, LatS LatS dimensionless, LongE LongE dimensionless, Total The total dimensionless, Juvenile Juvenile dimensionless, L/R L/R dimensionless, Species The name of species, Stratum Stratum dimensionless, Date The date, SumOfTotal Sum of the total dimensionless, SumOfJuvenile Sum of juvenile dimensionless, Species The name of species, Date The date, SumOfTotal The sum of total dimensionless, SumOfJuvenile Sum of juvenile dimensionless]
Compared fields for: class
Expected values: []
Actual values: []
Compared fields for: geohash_7
Expected values: [9kd7ym0]
Actual values: [9kd7ym0]
Compared fields for: contactOrganization
Expected values: [SANParks, The Awesome Store]
Actual values: [SANParks, The Awesome Store]
Compared fields for: attributeUnit
Expected values: [dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless]
Actual values: [dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless]
Compared fields for: geohash_6
Expected values: [9kd7ym]
Actual values: [9kd7ym]
Compared fields for: geohash_5
Expected values: [9kd7y]
Actual values: [9kd7y]
Compared fields for: geohash_4
Expected values: [9kd7]
Actual values: [9kd7]
Compared fields for: geohash_3
Expected values: [9kd]
Actual values: [9kd]
Compared fields for: geohash_2
Expected values: [9k]
Actual values: [9k]
Compared fields for: geohash_1
Expected values: [9]
Actual values: [9]
Compared fields for: abstract
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Expected values: [Assessment of Bivalve Recovery on Treated Mixed-Soft Beaches In Prince William Sound, 1989-1997 Mr. Dennis Lees Littoral Ecological and Environmental Services Principal Investigator 1075 Urania Ave. Leucadia CA 92024 USA 760-635-7998 760-635-7999 dennislees@earthlink.net 1359152217358 William Driskell 6536 20th Ave. NE Seattle WA 98115 USA 206-522-5930 bdriskell@comcast.net Principal Investigator Emma Freeman National Center for Ecological Analysis and Synthesis Graduate Student Researcher 735 State Street Suite 300 Santa Barbara California 93101 USA 1.805.892.2500 http://www.nceas.ucsb.edu Processor National Oceanic and Atmospheric Administration treatment effects studies from 1989 through 1997 suggested that bivalve assemblages on beaches in Prince William Sound treated with high-pressure washing were severely injured in terms of abundance, species composition, and function. Restoration Project 040574 assessed the generality and persistence of this apparent injury to this assemblage. We found that the initial conclusions were accurate, indicating that a considerable proportion of mixed-soft beaches in treated areas of the sound remained extremely disturbed and that these beaches are functionally impaired in terms of their ability to support foraging by humans and damaged nearshore vertebrate predators such as sea otters 13 years after the spill. Large, long-lived hard-shell clams remained 66% less abundant at Treated sites than at Reference sites. We also found that standard sediment properties did not appear implicated in lagging recovery. But, based on several lines of evidence, we deduced that a major cause for the delay was the disruption of surface armoring (a stratified organization of mixed-soft shoreline sediments common in southcentral Alaska), an effect of beach washing. Based on the apparent recovery trajectory, we predict that recovery to pre-spill status will take several more decades. We also found that sedimentary components and the biota in the armored mixed-soft sediments in Prince William Sound do not respond according to traditionally described paradigms for homogeneous sediments.Citation: Lees, D. C., and W. B. Driskell. 2007. Assessment of Bivalve Recovery on Treated Mixed-Soft Beaches in Prince William Sound, Alaska. Exxon Valdez Oil Spill Restoration Project Final Report (Restoration Project 040574). National Oceanic & Atmospheric Administration National Marine Fisheries Service, Office of Oil Spill Damage & Restoration, Auke Bay, Alaska. armoring sediment condition recruitment shoreline treatment beach washing bivalves clams Exxon Valdez oil spill Alaska Prince William Sound Hiatella arctica Protothaca staminea Leukoma staminea Saxidomus gigantea high-pressure hot water wash injury recovery Exxon Valdez Oil Spill Trustee Council EVOSTC This material is based upon work funded by the Exxon Valdez Oil Spill Trustee Council. Any opinions, findings, conclusions, or recommendations expressed herein are those of the author(s) and do not necessarily reflect the views or positions of the Trustee Council.Standard scientific norms for attribution and credit should be followed when using this data including to the Owners, Exxon Valdez Oil Spill Trustee Council and other sources of funding. Please let the Owner know when this data is used.This data is licensed under CC0. The person who associated a work with this deed has dedicated the work to the public domain by waiving all of his or her rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. Western Prince William Sound -148.047 -147.604 60.5435 60.0653 2002-08-07 2002-08-14 Phylum Mollusca Class Bivalvia Genus Hiatella Species arctica Nestling clam Phylum Mollusca Order Bivalvia Genus Leukoma Species staminea Littleneck clam Phylum Mollusca Order Bivalvia Genus Saxidomus Species gigantea Butter clam 1359152118258 Site selection To optimize the potential for detecting treatment effects, sampling was focused on intertidal mixed-soft sediment beaches in central and southwestern PWS where the greatest quantities of oil from the spill were stranded. Using the NOAA Shoreline Segment Summary and Alaska Department of Natural Resources GIS databases and historic spill-survey documents from 1989 and 1990, appropriate shoreline segments were selected based on exposure, sediment type, degree of oiling, and recommended treatment history. A random selection of appropriate shoreline segments was made from this list. Each of the selected segments was then physically viewed during an aerial reconnaissance to determine where suitable sites with an adequate stretch of beach composed of mixed-soft sediments existed at an appropriate tidal elevation. Final selections were made randomly from this final list of confirmed workable sites. Four sites from the previous NOAA program were included to assess the degree of consistency with the NOAA studies. These included one reference site (Bay of Isles) and three treated sites (Northwest Bay West Arm, Shelter Bay, and Sleepy Bay). Determining the treatment history for any particular stretch of shoreline was a somewhat difficult and complex task. In the manner previously reported by Mearns (1996), we used NOAA's Shoreline Segment Summary database to assign substrate type, relative degree of oiling (no-, light-, moderate-, or heavy oiling), types of treatment (e.g., moderate- to high-pressure or warm- or hot-water), number of types of treatment, and number of treatment days on a segment. Mearns (1996) concluded that, although "...treatment varied greatly among shorelines...treatment effort was generally proportional to the amount of oil present." According to his data for Eleanor and Ingot Islands, 81% of the heavily oiled sites were exposed to warm or hot water and 71% were exposed to both. In addition, 80% of the moderately oiled sites were exposed to warm or hot water. Only about 10% of the moderately or heavily oiled segments were not treated or did not have accompanying treatment characterization. From these data, one can conclude that most heavily or moderately oiled sites were washed with hot or warm water. However, we are unaware of any available public records that actually record treatment for the particular beaches within a portion of a shoreline segment. Detailed oiling reports and recommended treatments are recorded in the Shoreline Cleanup Assessment Team (SCAT) reports (available at the Alaska Resource Library and Information Services in Anchorage), which include sketches of the distribution of oil and sediments. The oiling reports and treatment recommendations in these records formed the predominant basis for our decisions on which beaches to survey. However, it should be clear that, except for the NOAA Treated sites, where we were able to observe treatment underway in 1989, the treatment history of both Treated and Reference sites is based only on educated conjecture. It is likely that some of the sites were inadvertently misclassified. Physico-chemical Sediment Analysis Bulk sediment samples were collected at all sites for analysis of particle grain size (PGS), total organic carbon (TOC), and total Kjeldahl nitrogen (TKN). These samples were composited from surficial sediments scooped approximately 2 cm deep at points immediately adjacent to three randomly selected sampling locations for the infaunal samples. Thus, the single composite-sample method did not provide a measure of within site variance. Each sample was preserved by freezing. PGS distributions were determined using a pipette method (Plumb 1981) modified to correct for dissolved solids (i.e., salinity and the dispersant added to keep silt/clay particles from clumping). Percent weights within each phi category were used to calculate cumulative phi values for 16, 50, and 84 percent of each sample. Two statistics were determined from these values. Median grain size = phi50. Median grain size in mm = 2exp(-phi50). The equation used to calculate the sorting coefficient for each sample = (phi84-phi16)/2. In the laboratory, the samples used for analysis of organic nutrients in the sediments were purged of inorganic carbon, dried at 70 degrees C, ground, and sieved through a 120 mesh screen. TOC was measured on a Dohrman DC 180 Carbon Analyzer using EPA method 415.1/5310B. TKN was measured by chromate digestion as described in EPA Method 351.4. Quality control (QC) for TOC included analysis of standards, method blanks, and comparison of replicate analyses. All QC analyses for TOC fell within acceptable QC limits. QC for TKN included analyses of spiked blanks and replicate analyses of spiked samples. All of the spiked TKN blank analyses fell within QC limits. However, none of the RPD or REC for the replicate analyses was within QC limits. Shoreline Exposure Because many physical and biological variables can be correlated with the intensity of exposure to wave action, variations in exposure to wave action can be a confounding factor. One commonly used method for estimating exposure is to measure fetch, i.e., the unobstructed distance across open water that wind or waves travel before encountering a beach at a perpendicular angle. Accordingly, we estimated fetch for each site by measuring the distance to the nearest landfall in a directly offshore direction using a navigation chart. Nevertheless, using fetch as a measure of exposure is a very crude and potentially inaccurate approach. It ignores the importance of the direction from which the dominant wind or waves arrive, the seasonal differences in the potential velocity and frequency of winds from the direction of the fetch, and the mitigating effects of local topography and offshore bathymetry (subtidal reefs, etc.), all of which are poorly known in this region. Consequently, we devised another approach that integrates a variety of exposure-related physical and biological factors to provide an index of exposure. Using our site photos and field notes to assess the various criteria, we devised an ordinal evaluation of twelve site conditions that reflect the degree of exposure. The factors included seven physical characteristics of the beach (shape and weathering of individual rocks, degree of imbrication or armoring of the rock population, presence of silt on coarser sediments or rocks, and the susceptibility of the site to current or wave action), and five biological characteristics (absence or level of development of epibenthic algae, animals, or an amorphous biological turf on the rocks, eelgrass or burrowing organisms in the sediments). Each feature was scored on a scale of 1 to 5. We then averaged factor scores for each site to provide an integrated exposure score for each site. By this method, low exposure scores indicate protected sites whereas high scores indicate exposed sites. Each site was scored without knowledge of its treatment classification in order to avoid biasing the score. The exposure scores were then paired with the appropriate environmental or biological variables for each site to evaluate the importance of exposure in any observed patterns. Biological Sampling In the NOAA studies cited above, we used a clam-gun core to sample infauna and the associated bivalves. It became clear when we analyzed these samples that this approach provided good information on smaller clam species and juveniles of larger clam species but did not provide adequate data on abundance and size structure of the naturally less abundant, older, larger size clams. This shortcoming created an important gap in our understanding of the long-term dynamics of clam populations and recovery. Consequently, we chose to use two contrasting methods to gain a fuller understanding of population and recovery dynamics. Smaller bivalves were sampled using core samplers 10.7 cm in diameter (0.009 m2) by 15 cm deep, replicating the methods used in the NOAA study. Five cores (total of 0.045 m2 sampled) were collected at randomly selected locations along a 30-m transect laid horizontally at each site at the lowest feasible level for completing the sampling and within the specified elevation range (0 to 0.8 m [+2.6 feet] above MLLW); the actual level varied with differing tide stage. Each sample was field-sieved through a 1.0 mm mesh screen, washed into a double-labeled Ziploc bag, and fixed with buffered 10% formalin-seawater solution. These samples were collected to provide data consistent with and comparable to the NOAA program and to gain an understanding of the status of smaller clam species and younger size classes of the larger, more longevous clams. For the larger, older, less abundant and typically more dispersed bivalves, sediments were excavated to a depth of 15 cm using a shovel and hands inside a square 0.0625-m2 quadrat. Three replicate excavations (a total of 0.1875 m2 sampled) were collected adjacent to first, third, and fifth randomly placed core samples described above. These sediments were sieved on site through 6.35-mm (0.25-inch) mesh hardware cloth, the bivalves removed, placed in labeled bags, and frozen for shipment to the laboratory. This approach provided useful information on abundance and size and age structure of the larger size classes. These samples were collected to gain an understanding of the status of older size classes of the larger, more longevous clams The two sample types provide complementary data. The core data provide data on a wider spectrum of sizes but, because larger animals are generally rare, these data are better suited for evaluation of the smaller clams and juveniles of the larger species. This component is lost in the sieving process for the excavation samples but, because that approach samples four times the surface area, it provides substantially better information on the larger, less abundant clams. Processing the excavation samples with the finer mesh sieve used for the core samples would require an inordinate amount of time both in the field and in the lab. Following receipt in the laboratory, the samples were washed on a 1-mm sieve to remove the formalin-seawater solution and then preserved with 70% isopropyl alcohol. After identification and enumeration in the laboratory, shell length was measured with digital calipers to 0.1-mm precision. In addition, age was estimated for four species (Protothaca, Saxidomus, and Hiatella, Macoma inquinata) by counting growth checks (annuli). Arbitrary size criteria based on examination of the size-frequency histograms for each species were used to distinguish juveniles from adults for one set of analyses. For Protothaca, specimens <10 mm in shell length were classified as juvenile. For Saxidomus, Macoma inquinata, and Hiatella, shell length criteria for juveniles were <12, <15, and <6 mm, respectively. Assessment of Bivalve Recovery on Treated Mixed-Soft Beaches in Prince William Sound Dennis Lees PI Exxon Valdez Oil Spill Trustee Council Project Number 574 df35c.9.14 site replicate species number sampled sieved volume (L) Site Replicate Species Length (mm) Annuli Number sampled Date Treatment Latitude (degree in decimals) Longitude (degree in decimals) Latitude (degrees) Latitude (seconds) Longitude (degrees) Longitude (seconds) % silt/clay TOC % TKN (mg/kg) C:N ratio Name of site Number of sample taken at the site Name of species sampled Number of individuals sampled Volume sieved Length of specimen Count of annuli (growth rings) name of site number of sample taken name of species number of individuals sampled length of sample number of annuli (growth rings) date of sampling treated or reference site latitude in decimal degrees longitude in decimal degrees latitude in degrees latitude in seconds longitude in degrees longitude seconds silt to clay ratio total organic carbon Total Kjeldahl nitrogen ratio of Carbon to Nitrogen dimensionless liter millimeter degree miligramsPerKilogram]
Actual values: [Assessment of Bivalve Recovery on Treated Mixed-Soft Beaches In Prince William Sound, 1989-1997 Mr. Dennis Lees Littoral Ecological and Environmental Services Principal Investigator 1075 Urania Ave. Leucadia CA 92024 USA 760-635-7998 760-635-7999 dennislees@earthlink.net 1359152217358 William Driskell 6536 20th Ave. NE Seattle WA 98115 USA 206-522-5930 bdriskell@comcast.net Principal Investigator Emma Freeman National Center for Ecological Analysis and Synthesis Graduate Student Researcher 735 State Street Suite 300 Santa Barbara California 93101 USA 1.805.892.2500 http://www.nceas.ucsb.edu Processor National Oceanic and Atmospheric Administration treatment effects studies from 1989 through 1997 suggested that bivalve assemblages on beaches in Prince William Sound treated with high-pressure washing were severely injured in terms of abundance, species composition, and function. Restoration Project 040574 assessed the generality and persistence of this apparent injury to this assemblage. We found that the initial conclusions were accurate, indicating that a considerable proportion of mixed-soft beaches in treated areas of the sound remained extremely disturbed and that these beaches are functionally impaired in terms of their ability to support foraging by humans and damaged nearshore vertebrate predators such as sea otters 13 years after the spill. Large, long-lived hard-shell clams remained 66% less abundant at Treated sites than at Reference sites. We also found that standard sediment properties did not appear implicated in lagging recovery. But, based on several lines of evidence, we deduced that a major cause for the delay was the disruption of surface armoring (a stratified organization of mixed-soft shoreline sediments common in southcentral Alaska), an effect of beach washing. Based on the apparent recovery trajectory, we predict that recovery to pre-spill status will take several more decades. We also found that sedimentary components and the biota in the armored mixed-soft sediments in Prince William Sound do not respond according to traditionally described paradigms for homogeneous sediments.Citation: Lees, D. C., and W. B. Driskell. 2007. Assessment of Bivalve Recovery on Treated Mixed-Soft Beaches in Prince William Sound, Alaska. Exxon Valdez Oil Spill Restoration Project Final Report (Restoration Project 040574). National Oceanic & Atmospheric Administration National Marine Fisheries Service, Office of Oil Spill Damage & Restoration, Auke Bay, Alaska. armoring sediment condition recruitment shoreline treatment beach washing bivalves clams Exxon Valdez oil spill Alaska Prince William Sound Hiatella arctica Protothaca staminea Leukoma staminea Saxidomus gigantea high-pressure hot water wash injury recovery Exxon Valdez Oil Spill Trustee Council EVOSTC This material is based upon work funded by the Exxon Valdez Oil Spill Trustee Council. Any opinions, findings, conclusions, or recommendations expressed herein are those of the author(s) and do not necessarily reflect the views or positions of the Trustee Council.Standard scientific norms for attribution and credit should be followed when using this data including to the Owners, Exxon Valdez Oil Spill Trustee Council and other sources of funding. Please let the Owner know when this data is used.This data is licensed under CC0. The person who associated a work with this deed has dedicated the work to the public domain by waiving all of his or her rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. Western Prince William Sound -148.047 -147.604 60.5435 60.0653 2002-08-07 2002-08-14 Phylum Mollusca Class Bivalvia Genus Hiatella Species arctica Nestling clam Phylum Mollusca Order Bivalvia Genus Leukoma Species staminea Littleneck clam Phylum Mollusca Order Bivalvia Genus Saxidomus Species gigantea Butter clam 1359152118258 Site selection To optimize the potential for detecting treatment effects, sampling was focused on intertidal mixed-soft sediment beaches in central and southwestern PWS where the greatest quantities of oil from the spill were stranded. Using the NOAA Shoreline Segment Summary and Alaska Department of Natural Resources GIS databases and historic spill-survey documents from 1989 and 1990, appropriate shoreline segments were selected based on exposure, sediment type, degree of oiling, and recommended treatment history. A random selection of appropriate shoreline segments was made from this list. Each of the selected segments was then physically viewed during an aerial reconnaissance to determine where suitable sites with an adequate stretch of beach composed of mixed-soft sediments existed at an appropriate tidal elevation. Final selections were made randomly from this final list of confirmed workable sites. Four sites from the previous NOAA program were included to assess the degree of consistency with the NOAA studies. These included one reference site (Bay of Isles) and three treated sites (Northwest Bay West Arm, Shelter Bay, and Sleepy Bay). Determining the treatment history for any particular stretch of shoreline was a somewhat difficult and complex task. In the manner previously reported by Mearns (1996), we used NOAA's Shoreline Segment Summary database to assign substrate type, relative degree of oiling (no-, light-, moderate-, or heavy oiling), types of treatment (e.g., moderate- to high-pressure or warm- or hot-water), number of types of treatment, and number of treatment days on a segment. Mearns (1996) concluded that, although "...treatment varied greatly among shorelines...treatment effort was generally proportional to the amount of oil present." According to his data for Eleanor and Ingot Islands, 81% of the heavily oiled sites were exposed to warm or hot water and 71% were exposed to both. In addition, 80% of the moderately oiled sites were exposed to warm or hot water. Only about 10% of the moderately or heavily oiled segments were not treated or did not have accompanying treatment characterization. From these data, one can conclude that most heavily or moderately oiled sites were washed with hot or warm water. However, we are unaware of any available public records that actually record treatment for the particular beaches within a portion of a shoreline segment. Detailed oiling reports and recommended treatments are recorded in the Shoreline Cleanup Assessment Team (SCAT) reports (available at the Alaska Resource Library and Information Services in Anchorage), which include sketches of the distribution of oil and sediments. The oiling reports and treatment recommendations in these records formed the predominant basis for our decisions on which beaches to survey. However, it should be clear that, except for the NOAA Treated sites, where we were able to observe treatment underway in 1989, the treatment history of both Treated and Reference sites is based only on educated conjecture. It is likely that some of the sites were inadvertently misclassified. Physico-chemical Sediment Analysis Bulk sediment samples were collected at all sites for analysis of particle grain size (PGS), total organic carbon (TOC), and total Kjeldahl nitrogen (TKN). These samples were composited from surficial sediments scooped approximately 2 cm deep at points immediately adjacent to three randomly selected sampling locations for the infaunal samples. Thus, the single composite-sample method did not provide a measure of within site variance. Each sample was preserved by freezing. PGS distributions were determined using a pipette method (Plumb 1981) modified to correct for dissolved solids (i.e., salinity and the dispersant added to keep silt/clay particles from clumping). Percent weights within each phi category were used to calculate cumulative phi values for 16, 50, and 84 percent of each sample. Two statistics were determined from these values. Median grain size = phi50. Median grain size in mm = 2exp(-phi50). The equation used to calculate the sorting coefficient for each sample = (phi84-phi16)/2. In the laboratory, the samples used for analysis of organic nutrients in the sediments were purged of inorganic carbon, dried at 70 degrees C, ground, and sieved through a 120 mesh screen. TOC was measured on a Dohrman DC 180 Carbon Analyzer using EPA method 415.1/5310B. TKN was measured by chromate digestion as described in EPA Method 351.4. Quality control (QC) for TOC included analysis of standards, method blanks, and comparison of replicate analyses. All QC analyses for TOC fell within acceptable QC limits. QC for TKN included analyses of spiked blanks and replicate analyses of spiked samples. All of the spiked TKN blank analyses fell within QC limits. However, none of the RPD or REC for the replicate analyses was within QC limits. Shoreline Exposure Because many physical and biological variables can be correlated with the intensity of exposure to wave action, variations in exposure to wave action can be a confounding factor. One commonly used method for estimating exposure is to measure fetch, i.e., the unobstructed distance across open water that wind or waves travel before encountering a beach at a perpendicular angle. Accordingly, we estimated fetch for each site by measuring the distance to the nearest landfall in a directly offshore direction using a navigation chart. Nevertheless, using fetch as a measure of exposure is a very crude and potentially inaccurate approach. It ignores the importance of the direction from which the dominant wind or waves arrive, the seasonal differences in the potential velocity and frequency of winds from the direction of the fetch, and the mitigating effects of local topography and offshore bathymetry (subtidal reefs, etc.), all of which are poorly known in this region. Consequently, we devised another approach that integrates a variety of exposure-related physical and biological factors to provide an index of exposure. Using our site photos and field notes to assess the various criteria, we devised an ordinal evaluation of twelve site conditions that reflect the degree of exposure. The factors included seven physical characteristics of the beach (shape and weathering of individual rocks, degree of imbrication or armoring of the rock population, presence of silt on coarser sediments or rocks, and the susceptibility of the site to current or wave action), and five biological characteristics (absence or level of development of epibenthic algae, animals, or an amorphous biological turf on the rocks, eelgrass or burrowing organisms in the sediments). Each feature was scored on a scale of 1 to 5. We then averaged factor scores for each site to provide an integrated exposure score for each site. By this method, low exposure scores indicate protected sites whereas high scores indicate exposed sites. Each site was scored without knowledge of its treatment classification in order to avoid biasing the score. The exposure scores were then paired with the appropriate environmental or biological variables for each site to evaluate the importance of exposure in any observed patterns. Biological Sampling In the NOAA studies cited above, we used a clam-gun core to sample infauna and the associated bivalves. It became clear when we analyzed these samples that this approach provided good information on smaller clam species and juveniles of larger clam species but did not provide adequate data on abundance and size structure of the naturally less abundant, older, larger size clams. This shortcoming created an important gap in our understanding of the long-term dynamics of clam populations and recovery. Consequently, we chose to use two contrasting methods to gain a fuller understanding of population and recovery dynamics. Smaller bivalves were sampled using core samplers 10.7 cm in diameter (0.009 m2) by 15 cm deep, replicating the methods used in the NOAA study. Five cores (total of 0.045 m2 sampled) were collected at randomly selected locations along a 30-m transect laid horizontally at each site at the lowest feasible level for completing the sampling and within the specified elevation range (0 to 0.8 m [+2.6 feet] above MLLW); the actual level varied with differing tide stage. Each sample was field-sieved through a 1.0 mm mesh screen, washed into a double-labeled Ziploc bag, and fixed with buffered 10% formalin-seawater solution. These samples were collected to provide data consistent with and comparable to the NOAA program and to gain an understanding of the status of smaller clam species and younger size classes of the larger, more longevous clams. For the larger, older, less abundant and typically more dispersed bivalves, sediments were excavated to a depth of 15 cm using a shovel and hands inside a square 0.0625-m2 quadrat. Three replicate excavations (a total of 0.1875 m2 sampled) were collected adjacent to first, third, and fifth randomly placed core samples described above. These sediments were sieved on site through 6.35-mm (0.25-inch) mesh hardware cloth, the bivalves removed, placed in labeled bags, and frozen for shipment to the laboratory. This approach provided useful information on abundance and size and age structure of the larger size classes. These samples were collected to gain an understanding of the status of older size classes of the larger, more longevous clams The two sample types provide complementary data. The core data provide data on a wider spectrum of sizes but, because larger animals are generally rare, these data are better suited for evaluation of the smaller clams and juveniles of the larger species. This component is lost in the sieving process for the excavation samples but, because that approach samples four times the surface area, it provides substantially better information on the larger, less abundant clams. Processing the excavation samples with the finer mesh sieve used for the core samples would require an inordinate amount of time both in the field and in the lab. Following receipt in the laboratory, the samples were washed on a 1-mm sieve to remove the formalin-seawater solution and then preserved with 70% isopropyl alcohol. After identification and enumeration in the laboratory, shell length was measured with digital calipers to 0.1-mm precision. In addition, age was estimated for four species (Protothaca, Saxidomus, and Hiatella, Macoma inquinata) by counting growth checks (annuli). Arbitrary size criteria based on examination of the size-frequency histograms for each species were used to distinguish juveniles from adults for one set of analyses. For Protothaca, specimens <10 mm in shell length were classified as juvenile. For Saxidomus, Macoma inquinata, and Hiatella, shell length criteria for juveniles were <12, <15, and <6 mm, respectively. Assessment of Bivalve Recovery on Treated Mixed-Soft Beaches in Prince William Sound Dennis Lees PI Exxon Valdez Oil Spill Trustee Council Project Number 574 df35c.9.14 site replicate species number sampled sieved volume (L) Site Replicate Species Length (mm) Annuli Number sampled Date Treatment Latitude (degree in decimals) Longitude (degree in decimals) Latitude (degrees) Latitude (seconds) Longitude (degrees) Longitude (seconds) % silt/clay TOC % TKN (mg/kg) C:N ratio Name of site Number of sample taken at the site Name of species sampled Number of individuals sampled Volume sieved Length of specimen Count of annuli (growth rings) name of site number of sample taken name of species number of individuals sampled length of sample number of annuli (growth rings) date of sampling treated or reference site latitude in decimal degrees longitude in decimal degrees latitude in degrees latitude in seconds longitude in degrees longitude seconds silt to clay ratio total organic carbon Total Kjeldahl nitrogen ratio of Carbon to Nitrogen dimensionless liter millimeter degree miligramsPerKilogram]
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Compared fields for: origin
Expected values: [Dennis Lees]
Actual values: [Dennis Lees]
Compared fields for: attributeDescription
Expected values: [Name of site, Number of sample taken at the site, Name of species sampled, Number of individuals sampled, Volume sieved, Name of site, Number of sample taken at the site, Name of species sampled, Length of specimen, Count of annuli (growth rings), name of site, number of sample taken, name of species, number of individuals sampled, length of sample, number of annuli (growth rings), date of sampling, Name of site, treated or reference site, latitude in decimal degrees, longitude in decimal degrees, latitude in degrees, latitude in seconds, longitude in degrees, longitude seconds, silt to clay ratio, total organic carbon, Total Kjeldahl nitrogen, ratio of Carbon to Nitrogen]
Actual values: [Name of site, Number of sample taken at the site, Name of species sampled, Number of individuals sampled, Volume sieved, Name of site, Number of sample taken at the site, Name of species sampled, Length of specimen, Count of annuli (growth rings), name of site, number of sample taken, name of species, number of individuals sampled, length of sample, number of annuli (growth rings), date of sampling, Name of site, treated or reference site, latitude in decimal degrees, longitude in decimal degrees, latitude in degrees, latitude in seconds, longitude in degrees, longitude seconds, silt to clay ratio, total organic carbon, Total Kjeldahl nitrogen, ratio of Carbon to Nitrogen]
Compared fields for: serviceEndpoint
Expected values: []
Actual values: []
Compared fields for: title
Expected values: [Assessment of Bivalve Recovery on Treated Mixed-Soft Beaches In Prince William Sound, 1989-1997]
Actual values: [Assessment of Bivalve Recovery on Treated Mixed-Soft Beaches In Prince William Sound, 1989-1997]
Compared fields for: northBoundCoord
Expected values: [60.5435]
Actual values: [60.5435]
Compared fields for: investigator
Expected values: [Lees]
Actual values: [Lees]
Compared fields for: attributeName
Expected values: [site, replicate, species, number sampled, sieved volume (L), Site, Replicate, Species, Length (mm), Annuli, Site, Replicate, Species, Number sampled, Length (mm), Annuli, Date, Site, Treatment, Latitude (degree in decimals), Longitude (degree in decimals), Latitude (degrees), Latitude (seconds), Longitude (degrees), Longitude (seconds), % silt/clay, TOC %, TKN (mg/kg), C:N ratio]
Actual values: [site, replicate, species, number sampled, sieved volume (L), Site, Replicate, Species, Length (mm), Annuli, Site, Replicate, Species, Number sampled, Length (mm), Annuli, Date, Site, Treatment, Latitude (degree in decimals), Longitude (degree in decimals), Latitude (degrees), Latitude (seconds), Longitude (degrees), Longitude (seconds), % silt/clay, TOC %, TKN (mg/kg), C:N ratio]
Compared fields for: attribute
Expected values: [site Name of site, replicate Number of sample taken at the site dimensionless, species Name of species sampled, number sampled Number of individuals sampled dimensionless, sieved volume (L) Volume sieved liter, Site Name of site, Replicate Number of sample taken at the site dimensionless, Species Name of species sampled, Length (mm) Length of specimen millimeter, Annuli Count of annuli (growth rings) dimensionless, Site name of site, Replicate number of sample taken dimensionless, Species name of species, Number sampled number of individuals sampled dimensionless, Length (mm) length of sample millimeter, Annuli number of annuli (growth rings) dimensionless, Date date of sampling, Site Name of site, Treatment treated or reference site, Latitude (degree in decimals) latitude in decimal degrees degree, Longitude (degree in decimals) longitude in decimal degrees degree, Latitude (degrees) latitude in degrees degree, Latitude (seconds) latitude in seconds degree, Longitude (degrees) longitude in degrees degree, Longitude (seconds) longitude seconds degree, % silt/clay silt to clay ratio dimensionless, TOC % total organic carbon dimensionless, TKN (mg/kg) Total Kjeldahl nitrogen miligramsPerKilogram, C:N ratio ratio of Carbon to Nitrogen dimensionless]
Actual values: [site Name of site, replicate Number of sample taken at the site dimensionless, species Name of species sampled, number sampled Number of individuals sampled dimensionless, sieved volume (L) Volume sieved liter, Site Name of site, Replicate Number of sample taken at the site dimensionless, Species Name of species sampled, Length (mm) Length of specimen millimeter, Annuli Count of annuli (growth rings) dimensionless, Site name of site, Replicate number of sample taken dimensionless, Species name of species, Number sampled number of individuals sampled dimensionless, Length (mm) length of sample millimeter, Annuli number of annuli (growth rings) dimensionless, Date date of sampling, Site Name of site, Treatment treated or reference site, Latitude (degree in decimals) latitude in decimal degrees degree, Longitude (degree in decimals) longitude in decimal degrees degree, Latitude (degrees) latitude in degrees degree, Latitude (seconds) latitude in seconds degree, Longitude (degrees) longitude in degrees degree, Longitude (seconds) longitude seconds degree, % silt/clay silt to clay ratio dimensionless, TOC % total organic carbon dimensionless, TKN (mg/kg) Total Kjeldahl nitrogen miligramsPerKilogram, C:N ratio ratio of Carbon to Nitrogen dimensionless]
Compared fields for: class
Expected values: [Bivalvia]
Actual values: [Bivalvia]
Compared fields for: geohash_7
Expected values: [bdwzh4h]
Actual values: [bdwzh4h]
Compared fields for: contactOrganization
Expected values: [Littoral Ecological and Environmental Services]
Actual values: [Littoral Ecological and Environmental Services]
Compared fields for: attributeUnit
Expected values: [dimensionless, dimensionless, liter, dimensionless, millimeter, dimensionless, dimensionless, dimensionless, millimeter, dimensionless, degree, degree, degree, degree, degree, degree, dimensionless, dimensionless, miligramsPerKilogram, dimensionless]
Actual values: [dimensionless, dimensionless, liter, dimensionless, millimeter, dimensionless, dimensionless, dimensionless, millimeter, dimensionless, degree, degree, degree, degree, degree, degree, dimensionless, dimensionless, miligramsPerKilogram, dimensionless]
Compared fields for: geohash_6
Expected values: [bdwzh4]
Actual values: [bdwzh4]
Compared fields for: geohash_5
Expected values: [bdwzh]
Actual values: [bdwzh]
Compared fields for: geohash_4
Expected values: [bdwz]
Actual values: [bdwz]
Compared fields for: geohash_3
Expected values: [bdw]
Actual values: [bdw]
Compared fields for: geohash_2
Expected values: [bd]
Actual values: [bd]
Compared fields for: geohash_1
Expected values: [b]
Actual values: [b]
Compared fields for: abstract
Expected values: [National Oceanic and Atmospheric Administration treatment effects studies from 1989 through 1997 suggested that bivalve assemblages on beaches in Prince William Sound treated with high-pressure washing were severely injured in terms of abundance, species composition, and function. Restoration Project 040574 assessed the generality and persistence of this apparent injury to this assemblage. We found that the initial conclusions were accurate, indicating that a considerable proportion of mixed-soft beaches in treated areas of the sound remained extremely disturbed and that these beaches are functionally impaired in terms of their ability to support foraging by humans and damaged nearshore vertebrate predators such as sea otters 13 years after the spill. Large, long-lived hard-shell clams remained 66% less abundant at Treated sites than at Reference sites. We also found that standard sediment properties did not appear implicated in lagging recovery. But, based on several lines of evidence, we deduced that a major cause for the delay was the disruption of surface armoring (a stratified organization of mixed-soft shoreline sediments common in southcentral Alaska), an effect of beach washing. Based on the apparent recovery trajectory, we predict that recovery to pre-spill status will take several more decades. We also found that sedimentary components and the biota in the armored mixed-soft sediments in Prince William Sound do not respond according to traditionally described paradigms for homogeneous sediments.Citation: Lees, D. C., and W. B. Driskell. 2007. Assessment of Bivalve Recovery on Treated Mixed-Soft Beaches in Prince William Sound, Alaska. Exxon Valdez Oil Spill Restoration Project Final Report (Restoration Project 040574). National Oceanic & Atmospheric Administration National Marine Fisheries Service, Office of Oil Spill Damage & Restoration, Auke Bay, Alaska.]
Actual values: [National Oceanic and Atmospheric Administration treatment effects studies from 1989 through 1997 suggested that bivalve assemblages on beaches in Prince William Sound treated with high-pressure washing were severely injured in terms of abundance, species composition, and function. Restoration Project 040574 assessed the generality and persistence of this apparent injury to this assemblage. We found that the initial conclusions were accurate, indicating that a considerable proportion of mixed-soft beaches in treated areas of the sound remained extremely disturbed and that these beaches are functionally impaired in terms of their ability to support foraging by humans and damaged nearshore vertebrate predators such as sea otters 13 years after the spill. Large, long-lived hard-shell clams remained 66% less abundant at Treated sites than at Reference sites. We also found that standard sediment properties did not appear implicated in lagging recovery. But, based on several lines of evidence, we deduced that a major cause for the delay was the disruption of surface armoring (a stratified organization of mixed-soft shoreline sediments common in southcentral Alaska), an effect of beach washing. Based on the apparent recovery trajectory, we predict that recovery to pre-spill status will take several more decades. We also found that sedimentary components and the biota in the armored mixed-soft sediments in Prince William Sound do not respond according to traditionally described paradigms for homogeneous sediments.Citation: Lees, D. C., and W. B. Driskell. 2007. Assessment of Bivalve Recovery on Treated Mixed-Soft Beaches in Prince William Sound, Alaska. Exxon Valdez Oil Spill Restoration Project Final Report (Restoration Project 040574). National Oceanic & Atmospheric Administration National Marine Fisheries Service, Office of Oil Spill Damage & Restoration, Auke Bay, Alaska.]
Compared fields for: kingdom
Expected values: []
Actual values: []
Compared fields for: geohash_9
Expected values: [bdwzh4hf8]
Actual values: [bdwzh4hf8]
Compared fields for: geohash_8
Expected values: [bdwzh4hf]
Actual values: [bdwzh4hf]
Compared fields for: authorGivenNameSort
Expected values: [Dennis]
Actual values: [Dennis]
Compared fields for: beginDate
Expected values: [2002-08-07T00:00:00.000Z]
Actual values: [2002-08-07T00:00:00.000Z]
Compared fields for: site
Expected values: [Western Prince William Sound]
Actual values: [Western Prince William Sound]
Compared fields for: phylum
Expected values: [Mollusca]
Actual values: [Mollusca]
Compared fields for: species
Expected values: [arctica, staminea, gigantea]
Actual values: [arctica, staminea, gigantea]
Compared fields for: serviceTitle
Expected values: []
Actual values: []
Compared fields for: serviceDescription
Expected values: []
Actual values: []
Compared fields for: eastBoundCoord
Expected values: [-147.604]
Actual values: [-147.604]
Compared fields for: family
Expected values: []
Actual values: []
Compared fields for: rightsHolder
Expected values: [dataone_integration_test_user]
Actual values: [dataone_integration_test_user]
Compared fields for: submitter
Expected values: [dataone_integration_test_user]
Actual values: [dataone_integration_test_user]
Compared fields for: fileName
Expected values: []
Actual values: []
Compared fields for: dateUploaded
Expected values: [2011-08-31T15:59:50.071Z]
Actual values: [2011-08-31T15:59:50.071Z]
Compared fields for: seriesId
Expected values: []
Actual values: []
Compared fields for: obsoletedBy
Expected values: []
Actual values: []
Compared fields for: replicaMN
Expected values: []
Actual values: []
Compared fields for: changePermission
Expected values: []
Actual values: []
Compared fields for: readPermission
Expected values: [public, dataone_test_user, dataone_public_user]
Actual values: [public, dataone_public_user, dataone_test_user]
Compared fields for: checksum
Expected values: [24426711d5385a9ffa583a13d07af2502884932f]
Actual values: [24426711d5385a9ffa583a13d07af2502884932f]
Compared fields for: replicationAllowed
Expected values: [true]
Actual values: [true]
Compared fields for: isPublic
Expected values: [true]
Actual values: [true]
Compared fields for: id
Expected values: [serviceEmlPid]
Actual values: [serviceEmlPid]
Compared fields for: formatType
Expected values: [METADATA]
Actual values: [METADATA]
Compared fields for: authoritativeMN
Expected values: [test_documents]
Actual values: [test_documents]
Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/serviceEmlPid]
Actual values: [https://cn.dataone.org/cn/v2/resolve/serviceEmlPid]
Compared fields for: dateModified
Expected values: [2011-08-31T15:59:50.072Z]
Actual values: [2011-08-31T15:59:50.072Z]
Compared fields for: mediaType
Expected values: []
Actual values: []
Compared fields for: checksumAlgorithm
Expected values: [SHA-1]
Actual values: [SHA-1]
Compared fields for: mediaTypeProperty
Expected values: []
Actual values: []
Compared fields for: numberReplicas
Expected values: []
Actual values: []
Compared fields for: obsoletes
Expected values: []
Actual values: []
Compared fields for: replicaVerifiedDate
Expected values: []
Actual values: []
Compared fields for: formatId
Expected values: [eml://ecoinformatics.org/eml-2.1.0]
Actual values: [eml://ecoinformatics.org/eml-2.1.0]
Compared fields for: preferredReplicationMN
Expected values: []
Actual values: []
Compared fields for: size
Expected values: [36281]
Actual values: [36281]
Compared fields for: datasource
Expected values: [test_documents]
Actual values: [test_documents]
Compared fields for: blockedReplicationMN
Expected values: []
Actual values: []
Compared fields for: writePermission
Expected values: [dataone_integration_test_user]
Actual values: [dataone_integration_test_user]
Compared fields for: keywords
Expected values: []
Actual values: []
Compared fields for: endDate
Expected values: []
Actual values: []
Compared fields for: scientificName
Expected values: []
Actual values: []
Compared fields for: authorSurName
Expected values: []
Actual values: []
Compared fields for: project
Expected values: []
Actual values: []
Compared fields for: authorLastName
Expected values: []
Actual values: []
Compared fields for: westBoundCoord
Expected values: []
Actual values: []
Compared fields for: authorSurNameSort
Expected values: []
Actual values: []
Compared fields for: text
Expected values: [serviceEmlPid]
Actual values: [serviceEmlPid]
Compared fields for: isService
Expected values: [true]
Actual values: [true]
Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/serviceEmlPid]
Actual values: [https://cn.dataone.org/cn/v2/resolve/serviceEmlPid]
Compared fields for: order
Expected values: []
Actual values: []
Compared fields for: author
Expected values: []
Actual values: []
Compared fields for: pubDate
Expected values: []
Actual values: []
Compared fields for: genus
Expected values: []
Actual values: []
Compared fields for: authorGivenName
Expected values: []
Actual values: []
Compared fields for: southBoundCoord
Expected values: []
Actual values: []
Compared fields for: attributeLabel
Expected values: []
Actual values: []
Compared fields for: origin
Expected values: []
Actual values: []
Compared fields for: attributeDescription
Expected values: []
Actual values: []
Compared fields for: serviceEndpoint
Expected values: [https://cn-sandbox-2.test.dataone.org/cn/v1/resolve/ala-wai-canal-ns02-matlab-processing-schedule_AW02XX_001CTDXXXXR00_processing.1.m, https://cn-sandbox-2.test.dataone.org/cn/v1/resolve/ala-wai-canal-ns02-matlab-processing-DataProcessor.1.m, https://cn-sandbox-2.test.dataone.org/cn/v1/resolve/ala-wai-canal-ns02-matlab-processing-Configure.1.m]
Actual values: [https://cn-sandbox-2.test.dataone.org/cn/v1/resolve/ala-wai-canal-ns02-matlab-processing-schedule_AW02XX_001CTDXXXXR00_processing.1.m, https://cn-sandbox-2.test.dataone.org/cn/v1/resolve/ala-wai-canal-ns02-matlab-processing-DataProcessor.1.m, https://cn-sandbox-2.test.dataone.org/cn/v1/resolve/ala-wai-canal-ns02-matlab-processing-Configure.1.m]
Compared fields for: title
Expected values: []
Actual values: []
Compared fields for: northBoundCoord
Expected values: []
Actual values: []
Compared fields for: investigator
Expected values: []
Actual values: []
Compared fields for: attributeName
Expected values: []
Actual values: []
Compared fields for: attribute
Expected values: []
Actual values: []
Compared fields for: class
Expected values: []
Actual values: []
Compared fields for: geohash_7
Expected values: []
Actual values: []
Compared fields for: contactOrganization
Expected values: []
Actual values: []
Compared fields for: attributeUnit
Expected values: []
Actual values: []
Compared fields for: geohash_6
Expected values: []
Actual values: []
Compared fields for: geohash_5
Expected values: []
Actual values: []
Compared fields for: geohash_4
Expected values: []
Actual values: []
Compared fields for: geohash_3
Expected values: []
Actual values: []
Compared fields for: geohash_2
Expected values: []
Actual values: []
Compared fields for: geohash_1
Expected values: []
Actual values: []
Compared fields for: abstract
Expected values: []
Actual values: []
Compared fields for: kingdom
Expected values: []
Actual values: []
Compared fields for: geohash_9
Expected values: []
Actual values: []
Compared fields for: geohash_8
Expected values: []
Actual values: []
Compared fields for: authorGivenNameSort
Expected values: []
Actual values: []
Compared fields for: beginDate
Expected values: []
Actual values: []
Compared fields for: site
Expected values: []
Actual values: []
Compared fields for: phylum
Expected values: []
Actual values: []
Compared fields for: serviceTitle
Expected values: [PACIOOS: Water Quality Processing Software, Matlab DataProcessor, Configure, Scedule scripts]
Actual values: [PACIOOS: Water Quality Processing Software, Matlab DataProcessor, Configure, Scedule scripts]
Compared fields for: species
Expected values: []
Actual values: []
Compared fields for: serviceDescription
Expected values: [PACIOOS processes water quality data in near real-time (with only network transfer delays) and produces 1, 3, 7, 10, 21, and 30-day plots of conductivity, salinity, pressure, chlorophyll, and turbidity measurements for each instrument location on the islands of Oahu, Maui, and other insular Pacific sites.:The ala-wai-canal-ns02-matlab-processing-schedule_AW02XX_001CTDXXXXR00_processing.1.m provides configuration values that get set in the ala-wai-canal-ns02-matlab-processing-Configure.1.m class, which is in turn used by the ala-wai-canal-ns02-matlab-processing-DataProcessor.1.m class to process the raw data and produce EPS and JPEG figures.]
Actual values: [PACIOOS processes water quality data in near real-time (with only network transfer delays) and produces 1, 3, 7, 10, 21, and 30-day plots of conductivity, salinity, pressure, chlorophyll, and turbidity measurements for each instrument location on the islands of Oahu, Maui, and other insular Pacific sites.:The ala-wai-canal-ns02-matlab-processing-schedule_AW02XX_001CTDXXXXR00_processing.1.m provides configuration values that get set in the ala-wai-canal-ns02-matlab-processing-Configure.1.m class, which is in turn used by the ala-wai-canal-ns02-matlab-processing-DataProcessor.1.m class to process the raw data and produce EPS and JPEG figures.]
Compared fields for: eastBoundCoord
Expected values: []
Actual values: []
Compared fields for: family
Expected values: []
Actual values: []
Tests run: 3, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.551 sec - in org.dataone.cn.index.SolrFieldXPathEmlTest
Running org.dataone.cn.index.InvalidXmlCharTest
Hibernate: select indextask0_.id as id0_, indextask0_.dateSysMetaModified as dateSysM2_0_, indextask0_.deleted as deleted0_, indextask0_.formatId as formatId0_, indextask0_.nextExecution as nextExec5_0_, indextask0_.objectPath as objectPath0_, indextask0_.pid as pid0_, indextask0_.priority as priority0_, indextask0_.status as status0_, indextask0_.sysMetadata as sysMeta10_0_, indextask0_.taskModifiedDate as taskMod11_0_, indextask0_.tryCount as tryCount0_, indextask0_.version as version0_ from index_task indextask0_ where indextask0_.pid=?
field value: testMNodeTier3:2012679267486_common-bmp-doc-example-เธเธฑเธเธเธดเธเธเธฃเธฐเธเธเนเธเน
field value: text/plain
field value: DATA
field value: 684336
field value: 4504b4dd97f2d7a4766dfaaa3f968ec2
field value: CN=testRightsHolder,DC=dataone,DC=org
field value: MD5
field value: CN=testRightsHolder,DC=dataone,DC=org
field value: false
field value: 2012-03-07T17:26:09.962Z
field value: 2012-03-07T17:27:22.879Z
field value: urn:node:DEMO3
field value: urn:node:DEMO3
field value: urn:node:DEMO3
field value: 2012-03-07T00:00:00.000Z
field value: public
field value: true
field value: https://cn.dataone.org/cn/v2/resolve/testMNodeTier3%3A2012679267486_common-bmp-doc-example-%E0%B8%89%E0%B8%B1%E0%B8%99%E0%B8%81%E0%B8%B4%E0%B8%99%E0%B8%81%E0%B8%A3%E0%B8%B0%E0%B8%88%E0%B8%81%E0%B9%84%E0%B8%94%E0%B9%89
Hibernate: insert into index_task (id, dateSysMetaModified, deleted, formatId, nextExecution, objectPath, pid, priority, status, sysMetadata, taskModifiedDate, tryCount, version) values (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
Hibernate: select indextask0_.id as id0_, indextask0_.dateSysMetaModified as dateSysM2_0_, indextask0_.deleted as deleted0_, indextask0_.formatId as formatId0_, indextask0_.nextExecution as nextExec5_0_, indextask0_.objectPath as objectPath0_, indextask0_.pid as pid0_, indextask0_.priority as priority0_, indextask0_.status as status0_, indextask0_.sysMetadata as sysMeta10_0_, indextask0_.taskModifiedDate as taskMod11_0_, indextask0_.tryCount as tryCount0_, indextask0_.version as version0_ from index_task indextask0_ where indextask0_.pid=?
field value: testMNodeTier3:2012679267486_common-bmp-doc-example-เธเธฑเธเธเธดเธเธเธฃเธฐเธเธเนเธเน
field value: text/plain
field value: DATA
field value: 684336
field value: 4504b4dd97f2d7a4766dfaaa3f968ec2
field value: CN=testRightsHolder,DC=dataone,DC=org
field value: MD5
field value: CN=testRightsHolder,DC=dataone,DC=org
field value: false
field value: 2012-03-07T17:26:09.962Z
field value: 2012-03-07T17:27:22.879Z
field value: urn:node:DEMO3
field value: urn:node:DEMO3
field value: urn:node:DEMO3
field value: 2012-03-07T00:00:00.000Z
field value: public
field value: true
field value: https://cn.dataone.org/cn/v2/resolve/testMNodeTier3%3A2012679267486_common-bmp-doc-example-%E0%B8%89%E0%B8%B1%E0%B8%99%E0%B8%81%E0%B8%B4%E0%B8%99%E0%B8%81%E0%B8%A3%E0%B8%B0%E0%B8%88%E0%B8%81%E0%B9%84%E0%B8%94%E0%B9%89
field value: testMNodeTier3:2012679267486_common-bmp-doc-example-เธเธฑเธเธเธดเธเธเธฃเธฐเธเธเนเธเน
field value: text/plain
field value: DATA
field value: 684336
field value: 4504b4dd97f2d7a4766dfaaa3f968ec2
field value: CN=testRightsHolder,DC=dataone,DC=org
field value: MD5
field value: CN=testRightsHolder,DC=dataone,DC=org
field value: false
field value: 2012-03-07T17:26:09.962Z
field value: 2012-03-07T17:27:22.879Z
field value: urn:node:DEMO3
field value: urn:node:DEMO3
field value: urn:node:DEMO3
field value: 2012-03-07T00:00:00.000Z
field value: public
field value: true
field value: https://cn.dataone.org/cn/v2/resolve/testMNodeTier3%3A2012679267486_common-bmp-doc-example-%E0%B8%89%E0%B8%B1%E0%B8%99%E0%B8%81%E0%B8%B4%E0%B8%99%E0%B8%81%E0%B8%A3%E0%B8%B0%E0%B8%88%E0%B8%81%E0%B9%84%E0%B8%94%E0%B9%89
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.328 sec - in org.dataone.cn.index.InvalidXmlCharTest
Running org.dataone.cn.index.SolrFieldDataCiteTest
Compared fields for: rightsHolder
Expected values: [CN=Tom Scientist A13461,O=University of America,C=US,DC=cilogon,DC=org]
Actual values: [CN=Tom Scientist A13461,O=University of America,C=US,DC=cilogon,DC=org]
Compared fields for: submitter
Expected values: [CN=urn:node:mnTestDASH,DC=dataone,DC=org]
Actual values: [CN=urn:node:mnTestDASH,DC=dataone,DC=org]
Compared fields for: fileName
Expected values: []
Actual values: []
Compared fields for: dateUploaded
Expected values: [2014-08-28T20:55:19.003Z]
Actual values: [2014-08-28T20:55:19.003Z]
Compared fields for: seriesId
Expected values: []
Actual values: []
Compared fields for: obsoletedBy
Expected values: []
Actual values: []
Compared fields for: replicaMN
Expected values: []
Actual values: []
Compared fields for: changePermission
Expected values: []
Actual values: []
Compared fields for: readPermission
Expected values: [public]
Actual values: [public]
Compared fields for: checksum
Expected values: [f3985f867816caea2f2be2e2f6b7ddc6]
Actual values: [f3985f867816caea2f2be2e2f6b7ddc6]
Compared fields for: replicationAllowed
Expected values: []
Actual values: []
Compared fields for: isPublic
Expected values: [true]
Actual values: [true]
Compared fields for: id
Expected values: [dataciteScienceMetadata1]
Actual values: [dataciteScienceMetadata1]
Compared fields for: formatType
Expected values: [METADATA]
Actual values: [METADATA]
Compared fields for: authoritativeMN
Expected values: [urn:node:mnTestDASH]
Actual values: [urn:node:mnTestDASH]
Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/dataciteScienceMetadata1]
Actual values: [https://cn.dataone.org/cn/v2/resolve/dataciteScienceMetadata1]
Compared fields for: dateModified
Expected values: [2014-08-28T20:55:19.034Z]
Actual values: [2014-08-28T20:55:19.034Z]
Compared fields for: mediaType
Expected values: []
Actual values: []
Compared fields for: checksumAlgorithm
Expected values: [MD5]
Actual values: [MD5]
Compared fields for: mediaTypeProperty
Expected values: []
Actual values: []
Compared fields for: numberReplicas
Expected values: []
Actual values: []
Compared fields for: obsoletes
Expected values: []
Actual values: []
Compared fields for: replicaVerifiedDate
Expected values: []
Actual values: []
Compared fields for: formatId
Expected values: [http://datacite.org/schema/kernel-3.0]
Actual values: [http://datacite.org/schema/kernel-3.0]
Compared fields for: preferredReplicationMN
Expected values: []
Actual values: []
Compared fields for: size
Expected values: [8849]
Actual values: [8849]
Compared fields for: datasource
Expected values: [urn:node:mnTestDASH]
Actual values: [urn:node:mnTestDASH]
Compared fields for: blockedReplicationMN
Expected values: []
Actual values: []
Compared fields for: writePermission
Expected values: []
Actual values: []
Compared fields for: keywords
Expected values: [Temperature, Humidity, Classrooms, Ponhook Lake (N.S.)]
Actual values: [Temperature, Humidity, Classrooms, Ponhook Lake (N.S.)]
Compared fields for: endDate
Expected values: [1962-10-12T00:00:00.000Z]
Actual values: [1962-10-12T00:00:00.000Z]
Compared fields for: authorSurName
Expected values: [Peach]
Actual values: [Peach]
Compared fields for: origin
Expected values: [Peach, A.]
Actual values: [Peach, A.]
Compared fields for: title
Expected values: [Temperature and Humidity in School Classrooms, Ponhook Lake, N.S., 1961-1962]
Actual values: [Temperature and Humidity in School Classrooms, Ponhook Lake, N.S., 1961-1962]
Compared fields for: northBoundCoord
Expected values: [44.9667]
Actual values: [44.9667]
Compared fields for: investigator
Expected values: [Peach, A., Pomegranate, B.]
Actual values: [Peach, A., Pomegranate, B.]
Compared fields for: authorLastName
Expected values: [Peach]
Actual values: [Peach]
Compared fields for: westBoundCoord
Expected values: [-64.2]
Actual values: [-64.2]
Compared fields for: authorSurNameSort
Expected values: [Peach]
Actual values: [Peach]
Compared fields for: text
Expected values: [10.5072/DataCollector_dateCollected_geoLocationBox Peach, A. Temperature and Humidity in School Classrooms, Ponhook Lake, N.S., 1961-1962 National Research Council Canada 1963 Temperature Humidity Classrooms Ponhook Lake (N.S.) Pomegranate, B. 1961-06-01/1962-10-12 en report 10 p. The Division has been taking records of temperatures and humidities in groups of houses at various locations in Canada over the past several years. This survey has more recently been extended to include schools. Records obtained from classrooms in six schools in Ponhook Lake, Nova Scotia from June 1, 1961-October 12, 1962 are now reported. 44.7167 -64.2 44.9667 -63.8 Ponhook Lake, Nova Scotia dataciteScienceMetadata1]
Actual values: [10.5072/DataCollector_dateCollected_geoLocationBox Peach, A. Temperature and Humidity in School Classrooms, Ponhook Lake, N.S., 1961-1962 National Research Council Canada 1963 Temperature Humidity Classrooms Ponhook Lake (N.S.) Pomegranate, B. 1961-06-01/1962-10-12 en report 10 p. The Division has been taking records of temperatures and humidities in groups of houses at various locations in Canada over the past several years. This survey has more recently been extended to include schools. Records obtained from classrooms in six schools in Ponhook Lake, Nova Scotia from June 1, 1961-October 12, 1962 are now reported. 44.7167 -64.2 44.9667 -63.8 Ponhook Lake, Nova Scotia dataciteScienceMetadata1]
Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/dataciteScienceMetadata1]
Actual values: [https://cn.dataone.org/cn/v2/resolve/dataciteScienceMetadata1]
Compared fields for: geohash_7
Expected values: [dxfrpeh]
Actual values: [dxfrpeh]
Compared fields for: geohash_6
Expected values: [dxfrpe]
Actual values: [dxfrpe]
Compared fields for: contactOrganization
Expected values: []
Actual values: []
Compared fields for: geohash_5
Expected values: [dxfrp]
Actual values: [dxfrp]
Compared fields for: geohash_4
Expected values: [dxfr]
Actual values: [dxfr]
Compared fields for: geohash_3
Expected values: [dxf]
Actual values: [dxf]
Compared fields for: geohash_2
Expected values: [dx]
Actual values: [dx]
Compared fields for: author
Expected values: [Peach, A.]
Actual values: [Peach, A.]
Compared fields for: geohash_1
Expected values: [d]
Actual values: [d]
Compared fields for: abstract
Expected values: [The Division has been taking records of temperatures and humidities in groups of houses at various locations in Canada over the past several years. This survey has more recently been extended to include schools. Records obtained from classrooms in six schools in Ponhook Lake, Nova Scotia from June 1, 1961-October 12, 1962 are now reported.]
Actual values: [The Division has been taking records of temperatures and humidities in groups of houses at various locations in Canada over the past several years. This survey has more recently been extended to include schools. Records obtained from classrooms in six schools in Ponhook Lake, Nova Scotia from June 1, 1961-October 12, 1962 are now reported.]
Compared fields for: pubDate
Expected values: [1963-01-01T00:00:00.000Z]
Actual values: [1963-01-01T00:00:00.000Z]
Compared fields for: geohash_9
Expected values: [dxfrpehtg]
Actual values: [dxfrpehtg]
Compared fields for: geohash_8
Expected values: [dxfrpeht]
Actual values: [dxfrpeht]
Compared fields for: authorGivenNameSort
Expected values: [A.]
Actual values: [A.]
Compared fields for: beginDate
Expected values: [1961-06-01T00:00:00.000Z]
Actual values: [1961-06-01T00:00:00.000Z]
Compared fields for: site
Expected values: [Ponhook Lake, Nova Scotia]
Actual values: [Ponhook Lake, Nova Scotia]
Compared fields for: authorGivenName
Expected values: [A.]
Actual values: [A.]
Compared fields for: southBoundCoord
Expected values: [44.7167]
Actual values: [44.7167]
Compared fields for: eastBoundCoord
Expected values: [-63.8]
Actual values: [-63.8]
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.075 sec - in org.dataone.cn.index.SolrFieldDataCiteTest
Running org.dataone.cn.index.SolrIndexFieldTest
Creating dataDir: /tmp/org.dataone.cn.index.SolrIndexFieldTest_139F9B781863C51B-001/init-core-data-001
[ WARN] 2017-11-21 22:07:19,959 (org.apache.solr.core.SolrResourceLoader:addToClassLoader:191) Can't find (or read) directory to add to classloader: lib (resolved as: /var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/lib).
[ WARN] 2017-11-21 22:07:20,299 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class SpatialRecursivePrefixTreeFieldType
[ WARN] 2017-11-21 22:07:20,299 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class BBoxField
[ WARN] 2017-11-21 22:07:20,323 (org.apache.solr.core.SolrCore:initIndex:541) [collection1] Solr index directory '/var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/collection1/data/index' doesn't exist. Creating new index...
[ WARN] 2017-11-21 22:07:20,340 (org.apache.solr.rest.ManagedResource:reloadFromStorage:182) No stored data found for /schema/analysis/synonyms/english
Comparing value for field abstract
Doc Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more.
Solr Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more.
Comparing value for field beginDate
Doc Value: Tue Jul 01 00:00:00 GMT 2014
Solr Value: Tue Jul 01 00:00:00 GMT 2014
Comparing value for field contactOrganization
Doc Value: [Earth Data Analysis Center]
Solr Value: [Earth Data Analysis Center]
Comparing value for field eastBoundCoord
Doc Value: -106.05
Solr Value: -106.05
Comparing value for field westBoundCoord
Doc Value: -106.05
Solr Value: -106.05
Comparing value for field northBoundCoord
Doc Value: 36.083332
Solr Value: 36.083332
Comparing value for field southBoundCoord
Doc Value: 36.083332
Solr Value: 36.083332
Comparing value for field endDate
Doc Value: Fri Aug 01 00:00:00 GMT 2014
Solr Value: Fri Aug 01 00:00:00 GMT 2014
Comparing value for field keywords
Doc Value: [climatologyMeteorologyAtmosphere, precipitation, air temperature, relative humidity, solar radiation, barometric pressure, snow water content, snow depth, soil moisture, soil temperature, EPSCoR Tract 3, EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Solr Value: [climatologyMeteorologyAtmosphere, precipitation, air temperature, relative humidity, solar radiation, barometric pressure, snow water content, snow depth, soil moisture, soil temperature, EPSCoR Tract 3, EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Comparing value for field geoform
Doc Value: vector digital data
Solr Value: vector digital data
Comparing value for field origin
Doc Value: [Water and Climate Center, National Resources Conservation Service]
Solr Value: [Water and Climate Center, National Resources Conservation Service]
Comparing value for field placeKey
Doc Value: [EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Solr Value: [EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Comparing value for field pubDate
Doc Value: Mon Aug 04 00:00:00 GMT 2014
Solr Value: Mon Aug 04 00:00:00 GMT 2014
Comparing value for field purpose
Doc Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more.
Solr Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more.
Comparing value for field title
Doc Value: SCAN Alcalde, NM (July, 2014)
Solr Value: SCAN Alcalde, NM (July, 2014)
Comparing value for field webUrl
Doc Value: [http://nmepscor.org/dataportal, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml]
Solr Value: [http://nmepscor.org/dataportal, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml]
Comparing value for field fileID
Doc Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Comparing value for field text
Doc Value: Water and Climate Center, National Resources Conservation Service 20140804 SCAN Alcalde, NM (July, 2014) vector digital data http://nmepscor.org/dataportalhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shphttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.ziphttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojsonhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.jsonhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csvhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xlshttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.htmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.htmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more. The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more. Funding for this SCAN station was provided by EPSCoR. These data are
made available through New Mexico's Experimental Program to
Stimulate Competitive Research (NM EPSCoR) data portal. The portal provides access
to data generated by and of use to the EPSCoR community including researchers,
educators, and policy leaders, as well as the general public.
http://www.wcc.nrcs.usda.gov/scan/ 20140701 010000 20140801 Ground Condition Complete Unknown -106.05 -106.05 36.0833333333 36.0833333333 ISO 19115 Topic Categories climatologyMeteorologyAtmosphere http://www.wcc.nrcs.usda.gov/scan/ precipitation air temperature relative humidity solar radiation barometric pressure snow water content snow depth soil moisture soil temperature EPSCoR Project EPSCoR Tract 3 Spatial Reference System Identifiers EPSG:4269 EPSG:7019 http://www.wcc.nrcs.usda.gov/scan/ NM Rio Arriba Alcalde None None Tony Tolsdorf National Water and Climate Center Monitoring Branch Leader Mailing address 1201 NE Lloyd Blvd., Suite 802 Portland OR 97232-1274 503-414-3006 tony.tolsdorf@por.usda.gov Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog
9.3.1.3000 Not provided Not provided Create the shapefiles using the provided lat/lon from the NRCS, one per
station using an Arcpy script. Download the CSV data for each station, each
year, each month from the station's Reporting Since date. 20140804 Earth Data Analysis Center Clearinghouse Manager mailing address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 8am to 5pm MT, M-F Rio Arriba County, NM Vector Point 744 0.00000001 0.00000001 Decimal degrees North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 SCAN Soil, Climate, Analysis, Network (SCAN) http://www.wcc.nrcs.usda.gov/scan/ FID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Coordinates defining the features. site_id NRCS Internal Site Number NRCS NRCS Internal Site Number date Date NRCS Date time Time (Pacific Standard Time) NRCS Time (Pacific Standard Time) preci_1 Precipitation Accumulated NRCS Unknown Unknown inches tobsi_1 Air Temperature Observed NRCS Unknown Unknown degrees Celsius tmaxh_1 Air Temperature Maximum NRCS Unknown Unknown degrees Celsius tminh_1 Air Temperature Minimum NRCS Unknown Unknown degrees Celsius tavgh_1 Air Temperature Average NRCS Unknown Unknown degrees Celsius prcph_1 Precipitation Increment NRCS Unknown Unknown inches smsi_1_2l Soil Moisture Percent; Sensor Height -2in NRCS Unknown Unknown percent smsi_1_4l Soil Moisture Percent; Sensor Height -4in NRCS Unknown Unknown percent smsi_1_8l Soil Moisture Percent; Sensor Height -8in NRCS Unknown Unknown percent smsi_1_20l Soil Moisture Percent; Sensor Height -20in NRCS Unknown Unknown percent smsi_1_40l Soil Moisture Percent; Sensor Height -40in NRCS Unknown Unknown percent stoi_1_2 Soil Temperature Observed; Sensor Height -2in NRCS Unknown Unknown degrees Celsius stoi_1_4 Soil Temperature Observed; Sensor Height -4in NRCS Unknown Unknown degrees Celsius stoi_1_8 Soil Temperature Observed; Sensor Height -8in NRCS Unknown Unknown degrees Celsius stoi_1_20 Soil Temperature Observed; Sensor Height -20in NRCS Unknown Unknown degrees Celsius stoi_1_40 Soil Temperature Observed; Sensor Height -40in NRCS Unknown Unknown degrees Celsius stoi_2_2 Soil Temperature Observed; Sensor Height -2in NRCS Unknown Unknown degrees Celsius stoi_2_4 Soil Temperature Observed; Sensor Height -4in NRCS Unknown Unknown degrees Celsius stoi_2_8 Soil Temperature Observed; Sensor Height -8in NRCS Unknown Unknown degrees Celsius stoi_2_20 Soil Temperature Observed; Sensor Height -20in NRCS Unknown Unknown degrees Celsius stoi_2_40 Soil Temperature Observed; Sensor Height -40in NRCS Unknown Unknown degrees Celsius sali_1_2 Salinity; Sensor Height -2in NRCS Unknown Unknown gram sali_1_4 Salinity; Sensor Height -4in NRCS Unknown Unknown gram sali_1_8 Salinity; Sensor Height -8in NRCS Unknown Unknown gram sali_1_20 Salinity; Sensor Height -20in NRCS Unknown Unknown gram sali_1_40 Salinity; Sensor Height -40in NRCS Unknown Unknown gram rdci_1_2 Real Dielectric Constant; Sensor Height -2in NRCS Unknown Unknown unitless rdci_1_4 Real Dielectric Constant; Sensor Height -4in NRCS Unknown Unknown unitless rdci_1_8 Real Dielectric Constant; Sensor Height -8in NRCS Unknown Unknown unitless rdci_1_20 Real Dielectric Constant; Sensor Height -20in NRCS Unknown Unknown unitless rdci_1_40 Real Dielectric Constant; Sensor Height -40in NRCS Unknown Unknown unitless batti_1 Battery Voltage NRCS Unknown Unknown volt batti_2 Battery Voltage NRCS Unknown Unknown volt wdirvh_1 Wind Direction Average NRCS Unknown Unknown degrees wspdxh_1mx Wind Speed Maximum NRCS Unknown Unknown mph wspdvh1 Wind Speed Average NRCS Unknown Unknown mph rhumi_1 Relative Humidity; Vaisala NRCS Unknown Unknown percent presi_1 Barometric Pressure; Sampled 10 minutes NRCS Unknown Unknown inches sradvh_1 Solar Radiation Average NRCS Unknown Unknown watt dptph_1 Dew Point Temperature NRCS Unknown Unknown degrees Celsius pvpvh_1 Vapor Pressure NRCS Unknown Unknown kPa rhumnh_1 Relative Humidity Minimum NRCS Unknown Unknown percent rhumxh_1 Relative Humidity Maximum NRCS Unknown Unknown percent Earth Data Analysis Center Clearinghouse Manager mailing and physical address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 0800 - 1700 MT, M-F -7 hours GMT Downloadable Data The material on this site is made available as a public service. Maps and data are to be used for reference purposes only and the Earth Data Analysis Center (EDAC), New Mexico EPSCoR (NM EPSCoR), Energize New Mexico and The University of New Mexico are not responsible for any inaccuracies herein contained. No responsibility is assumed for damages or other liabilities due to the accuracy, availability, use or misuse of the information herein provided. Unless otherwise indicated in the documentation (metadata) for individual data sets, information on this site is public domain and may be copied without permission; citation of the source is appreciated. ZIP 1 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu ESRI Shapefile (shp) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu GML 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu KML 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu GeoJSON 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu JSON 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Comma Separated Values (csv) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu MS Excel format (xls) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Adequate computer capability is the only technical prerequisite for viewing data in digital form. 20150423 Earth Data Analysis Center Clearinghouse Manager mailing and physical address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 0800 - 1700 MT, M-F -7 hours GMT FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time 68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: Water and Climate Center, National Resources Conservation Service 20140804 SCAN Alcalde, NM (July, 2014) vector digital data http://nmepscor.org/dataportalhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shphttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.ziphttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojsonhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.jsonhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csvhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xlshttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.htmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.htmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more. The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more. Funding for this SCAN station was provided by EPSCoR. These data are
made available through New Mexico's Experimental Program to
Stimulate Competitive Research (NM EPSCoR) data portal. The portal provides access
to data generated by and of use to the EPSCoR community including researchers,
educators, and policy leaders, as well as the general public.
http://www.wcc.nrcs.usda.gov/scan/ 20140701 010000 20140801 Ground Condition Complete Unknown -106.05 -106.05 36.0833333333 36.0833333333 ISO 19115 Topic Categories climatologyMeteorologyAtmosphere http://www.wcc.nrcs.usda.gov/scan/ precipitation air temperature relative humidity solar radiation barometric pressure snow water content snow depth soil moisture soil temperature EPSCoR Project EPSCoR Tract 3 Spatial Reference System Identifiers EPSG:4269 EPSG:7019 http://www.wcc.nrcs.usda.gov/scan/ NM Rio Arriba Alcalde None None Tony Tolsdorf National Water and Climate Center Monitoring Branch Leader Mailing address 1201 NE Lloyd Blvd., Suite 802 Portland OR 97232-1274 503-414-3006 tony.tolsdorf@por.usda.gov Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog
9.3.1.3000 Not provided Not provided Create the shapefiles using the provided lat/lon from the NRCS, one per
station using an Arcpy script. Download the CSV data for each station, each
year, each month from the station's Reporting Since date. 20140804 Earth Data Analysis Center Clearinghouse Manager mailing address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 8am to 5pm MT, M-F Rio Arriba County, NM Vector Point 744 0.00000001 0.00000001 Decimal degrees North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 SCAN Soil, Climate, Analysis, Network (SCAN) http://www.wcc.nrcs.usda.gov/scan/ FID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Coordinates defining the features. site_id NRCS Internal Site Number NRCS NRCS Internal Site Number date Date NRCS Date time Time (Pacific Standard Time) NRCS Time (Pacific Standard Time) preci_1 Precipitation Accumulated NRCS Unknown Unknown inches tobsi_1 Air Temperature Observed NRCS Unknown Unknown degrees Celsius tmaxh_1 Air Temperature Maximum NRCS Unknown Unknown degrees Celsius tminh_1 Air Temperature Minimum NRCS Unknown Unknown degrees Celsius tavgh_1 Air Temperature Average NRCS Unknown Unknown degrees Celsius prcph_1 Precipitation Increment NRCS Unknown Unknown inches smsi_1_2l Soil Moisture Percent; Sensor Height -2in NRCS Unknown Unknown percent smsi_1_4l Soil Moisture Percent; Sensor Height -4in NRCS Unknown Unknown percent smsi_1_8l Soil Moisture Percent; Sensor Height -8in NRCS Unknown Unknown percent smsi_1_20l Soil Moisture Percent; Sensor Height -20in NRCS Unknown Unknown percent smsi_1_40l Soil Moisture Percent; Sensor Height -40in NRCS Unknown Unknown percent stoi_1_2 Soil Temperature Observed; Sensor Height -2in NRCS Unknown Unknown degrees Celsius stoi_1_4 Soil Temperature Observed; Sensor Height -4in NRCS Unknown Unknown degrees Celsius stoi_1_8 Soil Temperature Observed; Sensor Height -8in NRCS Unknown Unknown degrees Celsius stoi_1_20 Soil Temperature Observed; Sensor Height -20in NRCS Unknown Unknown degrees Celsius stoi_1_40 Soil Temperature Observed; Sensor Height -40in NRCS Unknown Unknown degrees Celsius stoi_2_2 Soil Temperature Observed; Sensor Height -2in NRCS Unknown Unknown degrees Celsius stoi_2_4 Soil Temperature Observed; Sensor Height -4in NRCS Unknown Unknown degrees Celsius stoi_2_8 Soil Temperature Observed; Sensor Height -8in NRCS Unknown Unknown degrees Celsius stoi_2_20 Soil Temperature Observed; Sensor Height -20in NRCS Unknown Unknown degrees Celsius stoi_2_40 Soil Temperature Observed; Sensor Height -40in NRCS Unknown Unknown degrees Celsius sali_1_2 Salinity; Sensor Height -2in NRCS Unknown Unknown gram sali_1_4 Salinity; Sensor Height -4in NRCS Unknown Unknown gram sali_1_8 Salinity; Sensor Height -8in NRCS Unknown Unknown gram sali_1_20 Salinity; Sensor Height -20in NRCS Unknown Unknown gram sali_1_40 Salinity; Sensor Height -40in NRCS Unknown Unknown gram rdci_1_2 Real Dielectric Constant; Sensor Height -2in NRCS Unknown Unknown unitless rdci_1_4 Real Dielectric Constant; Sensor Height -4in NRCS Unknown Unknown unitless rdci_1_8 Real Dielectric Constant; Sensor Height -8in NRCS Unknown Unknown unitless rdci_1_20 Real Dielectric Constant; Sensor Height -20in NRCS Unknown Unknown unitless rdci_1_40 Real Dielectric Constant; Sensor Height -40in NRCS Unknown Unknown unitless batti_1 Battery Voltage NRCS Unknown Unknown volt batti_2 Battery Voltage NRCS Unknown Unknown volt wdirvh_1 Wind Direction Average NRCS Unknown Unknown degrees wspdxh_1mx Wind Speed Maximum NRCS Unknown Unknown mph wspdvh1 Wind Speed Average NRCS Unknown Unknown mph rhumi_1 Relative Humidity; Vaisala NRCS Unknown Unknown percent presi_1 Barometric Pressure; Sampled 10 minutes NRCS Unknown Unknown inches sradvh_1 Solar Radiation Average NRCS Unknown Unknown watt dptph_1 Dew Point Temperature NRCS Unknown Unknown degrees Celsius pvpvh_1 Vapor Pressure NRCS Unknown Unknown kPa rhumnh_1 Relative Humidity Minimum NRCS Unknown Unknown percent rhumxh_1 Relative Humidity Maximum NRCS Unknown Unknown percent Earth Data Analysis Center Clearinghouse Manager mailing and physical address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 0800 - 1700 MT, M-F -7 hours GMT Downloadable Data The material on this site is made available as a public service. Maps and data are to be used for reference purposes only and the Earth Data Analysis Center (EDAC), New Mexico EPSCoR (NM EPSCoR), Energize New Mexico and The University of New Mexico are not responsible for any inaccuracies herein contained. No responsibility is assumed for damages or other liabilities due to the accuracy, availability, use or misuse of the information herein provided. Unless otherwise indicated in the documentation (metadata) for individual data sets, information on this site is public domain and may be copied without permission; citation of the source is appreciated. ZIP 1 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu ESRI Shapefile (shp) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu GML 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu KML 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu GeoJSON 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu JSON 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Comma Separated Values (csv) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu MS Excel format (xls) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Adequate computer capability is the only technical prerequisite for viewing data in digital form. 20150423 Earth Data Analysis Center Clearinghouse Manager mailing and physical address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 0800 - 1700 MT, M-F -7 hours GMT FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time 68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Comparing value for field presentationCat
Doc Value: vector digital data
Solr Value: vector digital data
Comparing value for field author
Doc Value: Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service
Comparing value for field authorSurName
Doc Value: Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service
Comparing value for field authorSurNameSort
Doc Value: Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service
Comparing value for field investigator
Doc Value: [Water and Climate Center, National Resources Conservation Service]
Solr Value: [Water and Climate Center, National Resources Conservation Service]
Comparing value for field attributeName
Doc Value: [FID, Shape, site_id, date, time, preci_1, tobsi_1, tmaxh_1, tminh_1, tavgh_1, prcph_1, smsi_1_2l, smsi_1_4l, smsi_1_8l, smsi_1_20l, smsi_1_40l, stoi_1_2, stoi_1_4, stoi_1_8, stoi_1_20, stoi_1_40, stoi_2_2, stoi_2_4, stoi_2_8, stoi_2_20, stoi_2_40, sali_1_2, sali_1_4, sali_1_8, sali_1_20, sali_1_40, rdci_1_2, rdci_1_4, rdci_1_8, rdci_1_20, rdci_1_40, batti_1, batti_2, wdirvh_1, wspdxh_1mx, wspdvh1, rhumi_1, presi_1, sradvh_1, dptph_1, pvpvh_1, rhumnh_1, rhumxh_1]
Solr Value: [FID, Shape, site_id, date, time, preci_1, tobsi_1, tmaxh_1, tminh_1, tavgh_1, prcph_1, smsi_1_2l, smsi_1_4l, smsi_1_8l, smsi_1_20l, smsi_1_40l, stoi_1_2, stoi_1_4, stoi_1_8, stoi_1_20, stoi_1_40, stoi_2_2, stoi_2_4, stoi_2_8, stoi_2_20, stoi_2_40, sali_1_2, sali_1_4, sali_1_8, sali_1_20, sali_1_40, rdci_1_2, rdci_1_4, rdci_1_8, rdci_1_20, rdci_1_40, batti_1, batti_2, wdirvh_1, wspdxh_1mx, wspdvh1, rhumi_1, presi_1, sradvh_1, dptph_1, pvpvh_1, rhumnh_1, rhumxh_1]
Comparing value for field attributeDescription
Doc Value: [Internal feature number., Feature geometry., NRCS Internal Site Number, Date, Time (Pacific Standard Time), Precipitation Accumulated, Air Temperature Observed, Air Temperature Maximum, Air Temperature Minimum, Air Temperature Average, Precipitation Increment, Soil Moisture Percent; Sensor Height -2in, Soil Moisture Percent; Sensor Height -4in, Soil Moisture Percent; Sensor Height -8in, Soil Moisture Percent; Sensor Height -20in, Soil Moisture Percent; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Salinity; Sensor Height -2in, Salinity; Sensor Height -4in, Salinity; Sensor Height -8in, Salinity; Sensor Height -20in, Salinity; Sensor Height -40in, Real Dielectric Constant; Sensor Height -2in, Real Dielectric Constant; Sensor Height -4in, Real Dielectric Constant; Sensor Height -8in, Real Dielectric Constant; Sensor Height -20in, Real Dielectric Constant; Sensor Height -40in, Battery Voltage, Battery Voltage, Wind Direction Average, Wind Speed Maximum, Wind Speed Average, Relative Humidity; Vaisala, Barometric Pressure; Sampled 10 minutes, Solar Radiation Average, Dew Point Temperature, Vapor Pressure, Relative Humidity Minimum, Relative Humidity Maximum]
Solr Value: [Internal feature number., Feature geometry., NRCS Internal Site Number, Date, Time (Pacific Standard Time), Precipitation Accumulated, Air Temperature Observed, Air Temperature Maximum, Air Temperature Minimum, Air Temperature Average, Precipitation Increment, Soil Moisture Percent; Sensor Height -2in, Soil Moisture Percent; Sensor Height -4in, Soil Moisture Percent; Sensor Height -8in, Soil Moisture Percent; Sensor Height -20in, Soil Moisture Percent; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Salinity; Sensor Height -2in, Salinity; Sensor Height -4in, Salinity; Sensor Height -8in, Salinity; Sensor Height -20in, Salinity; Sensor Height -40in, Real Dielectric Constant; Sensor Height -2in, Real Dielectric Constant; Sensor Height -4in, Real Dielectric Constant; Sensor Height -8in, Real Dielectric Constant; Sensor Height -20in, Real Dielectric Constant; Sensor Height -40in, Battery Voltage, Battery Voltage, Wind Direction Average, Wind Speed Maximum, Wind Speed Average, Relative Humidity; Vaisala, Barometric Pressure; Sampled 10 minutes, Solar Radiation Average, Dew Point Temperature, Vapor Pressure, Relative Humidity Minimum, Relative Humidity Maximum]
Comparing value for field attributeUnit
Doc Value: [inches, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, inches, percent, percent, percent, percent, percent, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, gram, gram, gram, gram, gram, unitless, unitless, unitless, unitless, unitless, volt, volt, degrees, mph, mph, percent, inches, watt, degrees Celsius, kPa, percent, percent]
Solr Value: [inches, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, inches, percent, percent, percent, percent, percent, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, gram, gram, gram, gram, gram, unitless, unitless, unitless, unitless, unitless, volt, volt, degrees, mph, mph, percent, inches, watt, degrees Celsius, kPa, percent, percent]
Comparing value for field attribute
Doc Value: [FID Internal feature number., Shape Feature geometry., site_id NRCS Internal Site Number, date Date, time Time (Pacific Standard Time), preci_1 Precipitation Accumulated inches, tobsi_1 Air Temperature Observed degrees Celsius, tmaxh_1 Air Temperature Maximum degrees Celsius, tminh_1 Air Temperature Minimum degrees Celsius, tavgh_1 Air Temperature Average degrees Celsius, prcph_1 Precipitation Increment inches, smsi_1_2l Soil Moisture Percent; Sensor Height -2in percent, smsi_1_4l Soil Moisture Percent; Sensor Height -4in percent, smsi_1_8l Soil Moisture Percent; Sensor Height -8in percent, smsi_1_20l Soil Moisture Percent; Sensor Height -20in percent, smsi_1_40l Soil Moisture Percent; Sensor Height -40in percent, stoi_1_2 Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_1_4 Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_1_8 Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_1_20 Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_1_40 Soil Temperature Observed; Sensor Height -40in degrees Celsius, stoi_2_2 Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_2_4 Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_2_8 Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_2_20 Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_2_40 Soil Temperature Observed; Sensor Height -40in degrees Celsius, sali_1_2 Salinity; Sensor Height -2in gram, sali_1_4 Salinity; Sensor Height -4in gram, sali_1_8 Salinity; Sensor Height -8in gram, sali_1_20 Salinity; Sensor Height -20in gram, sali_1_40 Salinity; Sensor Height -40in gram, rdci_1_2 Real Dielectric Constant; Sensor Height -2in unitless, rdci_1_4 Real Dielectric Constant; Sensor Height -4in unitless, rdci_1_8 Real Dielectric Constant; Sensor Height -8in unitless, rdci_1_20 Real Dielectric Constant; Sensor Height -20in unitless, rdci_1_40 Real Dielectric Constant; Sensor Height -40in unitless, batti_1 Battery Voltage volt, batti_2 Battery Voltage volt, wdirvh_1 Wind Direction Average degrees, wspdxh_1mx Wind Speed Maximum mph, wspdvh1 Wind Speed Average mph, rhumi_1 Relative Humidity; Vaisala percent, presi_1 Barometric Pressure; Sampled 10 minutes inches, sradvh_1 Solar Radiation Average watt, dptph_1 Dew Point Temperature degrees Celsius, pvpvh_1 Vapor Pressure kPa, rhumnh_1 Relative Humidity Minimum percent, rhumxh_1 Relative Humidity Maximum percent]
Solr Value: [FID Internal feature number., Shape Feature geometry., site_id NRCS Internal Site Number, date Date, time Time (Pacific Standard Time), preci_1 Precipitation Accumulated inches, tobsi_1 Air Temperature Observed degrees Celsius, tmaxh_1 Air Temperature Maximum degrees Celsius, tminh_1 Air Temperature Minimum degrees Celsius, tavgh_1 Air Temperature Average degrees Celsius, prcph_1 Precipitation Increment inches, smsi_1_2l Soil Moisture Percent; Sensor Height -2in percent, smsi_1_4l Soil Moisture Percent; Sensor Height -4in percent, smsi_1_8l Soil Moisture Percent; Sensor Height -8in percent, smsi_1_20l Soil Moisture Percent; Sensor Height -20in percent, smsi_1_40l Soil Moisture Percent; Sensor Height -40in percent, stoi_1_2 Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_1_4 Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_1_8 Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_1_20 Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_1_40 Soil Temperature Observed; Sensor Height -40in degrees Celsius, stoi_2_2 Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_2_4 Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_2_8 Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_2_20 Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_2_40 Soil Temperature Observed; Sensor Height -40in degrees Celsius, sali_1_2 Salinity; Sensor Height -2in gram, sali_1_4 Salinity; Sensor Height -4in gram, sali_1_8 Salinity; Sensor Height -8in gram, sali_1_20 Salinity; Sensor Height -20in gram, sali_1_40 Salinity; Sensor Height -40in gram, rdci_1_2 Real Dielectric Constant; Sensor Height -2in unitless, rdci_1_4 Real Dielectric Constant; Sensor Height -4in unitless, rdci_1_8 Real Dielectric Constant; Sensor Height -8in unitless, rdci_1_20 Real Dielectric Constant; Sensor Height -20in unitless, rdci_1_40 Real Dielectric Constant; Sensor Height -40in unitless, batti_1 Battery Voltage volt, batti_2 Battery Voltage volt, wdirvh_1 Wind Direction Average degrees, wspdxh_1mx Wind Speed Maximum mph, wspdvh1 Wind Speed Average mph, rhumi_1 Relative Humidity; Vaisala percent, presi_1 Barometric Pressure; Sampled 10 minutes inches, sradvh_1 Solar Radiation Average watt, dptph_1 Dew Point Temperature degrees Celsius, pvpvh_1 Vapor Pressure kPa, rhumnh_1 Relative Humidity Minimum percent, rhumxh_1 Relative Humidity Maximum percent]
Comparing value for field geohash_1
Doc Value: [9]
Solr Value: [9]
Comparing value for field geohash_2
Doc Value: [9w]
Solr Value: [9w]
Comparing value for field geohash_3
Doc Value: [9wk]
Solr Value: [9wk]
Comparing value for field geohash_4
Doc Value: [9wkt]
Solr Value: [9wkt]
Comparing value for field geohash_5
Doc Value: [9wkt6]
Solr Value: [9wkt6]
Comparing value for field geohash_6
Doc Value: [9wkt6b]
Solr Value: [9wkt6b]
Comparing value for field geohash_7
Doc Value: [9wkt6bb]
Solr Value: [9wkt6bb]
Comparing value for field geohash_8
Doc Value: [9wkt6bb8]
Solr Value: [9wkt6bb8]
Comparing value for field geohash_9
Doc Value: [9wkt6bb8x]
Solr Value: [9wkt6bb8x]
Comparing value for field dataUrl
Doc Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Comparing value for field abstract
Doc Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more.
Solr Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more.
Comparing value for field beginDate
Doc Value: Tue Jul 01 00:00:00 GMT 2014
Solr Value: Tue Jul 01 00:00:00 GMT 2014
Comparing value for field contactOrganization
Doc Value: [Earth Data Analysis Center]
Solr Value: [Earth Data Analysis Center]
Comparing value for field eastBoundCoord
Doc Value: -106.05
Solr Value: -106.05
Comparing value for field westBoundCoord
Doc Value: -106.05
Solr Value: -106.05
Comparing value for field northBoundCoord
Doc Value: 36.083332
Solr Value: 36.083332
Comparing value for field southBoundCoord
Doc Value: 36.083332
Solr Value: 36.083332
Comparing value for field endDate
Doc Value: Fri Aug 01 00:00:00 GMT 2014
Solr Value: Fri Aug 01 00:00:00 GMT 2014
Comparing value for field keywords
Doc Value: [climatologyMeteorologyAtmosphere, precipitation, air temperature, relative humidity, solar radiation, barometric pressure, snow water content, snow depth, soil moisture, soil temperature, EPSCoR Tract 3, EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Solr Value: [climatologyMeteorologyAtmosphere, precipitation, air temperature, relative humidity, solar radiation, barometric pressure, snow water content, snow depth, soil moisture, soil temperature, EPSCoR Tract 3, EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Comparing value for field geoform
Doc Value: vector digital data
Solr Value: vector digital data
Comparing value for field origin
Doc Value: [Water and Climate Center, National Resources Conservation Service]
Solr Value: [Water and Climate Center, National Resources Conservation Service]
Comparing value for field placeKey
Doc Value: [EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Solr Value: [EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Comparing value for field pubDate
Doc Value: Mon Aug 04 00:00:00 GMT 2014
Solr Value: Mon Aug 04 00:00:00 GMT 2014
Comparing value for field purpose
Doc Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more.
Solr Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more.
Comparing value for field title
Doc Value: SCAN Alcalde, NM (July, 2014)
Solr Value: SCAN Alcalde, NM (July, 2014)
Comparing value for field webUrl
Doc Value: [http://nmepscor.org/dataportal, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml]
Solr Value: [http://nmepscor.org/dataportal, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml]
Comparing value for field fileID
Doc Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Comparing value for field text
Doc Value: Water and Climate Center, National Resources Conservation Service 20140804 SCAN Alcalde, NM (July, 2014) vector digital data http://nmepscor.org/dataportalhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shphttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.ziphttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojsonhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.jsonhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csvhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xlshttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.htmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.htmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more. The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more. Funding for this SCAN station was provided by EPSCoR. These data are
made available through New Mexico's Experimental Program to
Stimulate Competitive Research (NM EPSCoR) data portal. The portal provides access
to data generated by and of use to the EPSCoR community including researchers,
educators, and policy leaders, as well as the general public.
http://www.wcc.nrcs.usda.gov/scan/ 20140701 010000 20140801 Ground Condition Complete Unknown -106.05 -106.05 36.0833333333 36.0833333333 ISO 19115 Topic Categories climatologyMeteorologyAtmosphere http://www.wcc.nrcs.usda.gov/scan/ precipitation air temperature relative humidity solar radiation barometric pressure snow water content snow depth soil moisture soil temperature EPSCoR Project EPSCoR Tract 3 Spatial Reference System Identifiers EPSG:4269 EPSG:7019 http://www.wcc.nrcs.usda.gov/scan/ NM Rio Arriba Alcalde None None Tony Tolsdorf National Water and Climate Center Monitoring Branch Leader Mailing address 1201 NE Lloyd Blvd., Suite 802 Portland OR 97232-1274 503-414-3006 tony.tolsdorf@por.usda.gov Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog
9.3.1.3000 Not provided Not provided Create the shapefiles using the provided lat/lon from the NRCS, one per
station using an Arcpy script. Download the CSV data for each station, each
year, each month from the station's Reporting Since date. 20140804 Earth Data Analysis Center Clearinghouse Manager mailing address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 8am to 5pm MT, M-F Rio Arriba County, NM Vector Point 744 0.00000001 0.00000001 Decimal degrees North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 SCAN Soil, Climate, Analysis, Network (SCAN) http://www.wcc.nrcs.usda.gov/scan/ FID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Coordinates defining the features. site_id NRCS Internal Site Number NRCS NRCS Internal Site Number date Date NRCS Date time Time (Pacific Standard Time) NRCS Time (Pacific Standard Time) preci_1 Precipitation Accumulated NRCS Unknown Unknown inches tobsi_1 Air Temperature Observed NRCS Unknown Unknown degrees Celsius tmaxh_1 Air Temperature Maximum NRCS Unknown Unknown degrees Celsius tminh_1 Air Temperature Minimum NRCS Unknown Unknown degrees Celsius tavgh_1 Air Temperature Average NRCS Unknown Unknown degrees Celsius prcph_1 Precipitation Increment NRCS Unknown Unknown inches smsi_1_2l Soil Moisture Percent; Sensor Height -2in NRCS Unknown Unknown percent smsi_1_4l Soil Moisture Percent; Sensor Height -4in NRCS Unknown Unknown percent smsi_1_8l Soil Moisture Percent; Sensor Height -8in NRCS Unknown Unknown percent smsi_1_20l Soil Moisture Percent; Sensor Height -20in NRCS Unknown Unknown percent smsi_1_40l Soil Moisture Percent; Sensor Height -40in NRCS Unknown Unknown percent stoi_1_2 Soil Temperature Observed; Sensor Height -2in NRCS Unknown Unknown degrees Celsius stoi_1_4 Soil Temperature Observed; Sensor Height -4in NRCS Unknown Unknown degrees Celsius stoi_1_8 Soil Temperature Observed; Sensor Height -8in NRCS Unknown Unknown degrees Celsius stoi_1_20 Soil Temperature Observed; Sensor Height -20in NRCS Unknown Unknown degrees Celsius stoi_1_40 Soil Temperature Observed; Sensor Height -40in NRCS Unknown Unknown degrees Celsius stoi_2_2 Soil Temperature Observed; Sensor Height -2in NRCS Unknown Unknown degrees Celsius stoi_2_4 Soil Temperature Observed; Sensor Height -4in NRCS Unknown Unknown degrees Celsius stoi_2_8 Soil Temperature Observed; Sensor Height -8in NRCS Unknown Unknown degrees Celsius stoi_2_20 Soil Temperature Observed; Sensor Height -20in NRCS Unknown Unknown degrees Celsius stoi_2_40 Soil Temperature Observed; Sensor Height -40in NRCS Unknown Unknown degrees Celsius sali_1_2 Salinity; Sensor Height -2in NRCS Unknown Unknown gram sali_1_4 Salinity; Sensor Height -4in NRCS Unknown Unknown gram sali_1_8 Salinity; Sensor Height -8in NRCS Unknown Unknown gram sali_1_20 Salinity; Sensor Height -20in NRCS Unknown Unknown gram sali_1_40 Salinity; Sensor Height -40in NRCS Unknown Unknown gram rdci_1_2 Real Dielectric Constant; Sensor Height -2in NRCS Unknown Unknown unitless rdci_1_4 Real Dielectric Constant; Sensor Height -4in NRCS Unknown Unknown unitless rdci_1_8 Real Dielectric Constant; Sensor Height -8in NRCS Unknown Unknown unitless rdci_1_20 Real Dielectric Constant; Sensor Height -20in NRCS Unknown Unknown unitless rdci_1_40 Real Dielectric Constant; Sensor Height -40in NRCS Unknown Unknown unitless batti_1 Battery Voltage NRCS Unknown Unknown volt batti_2 Battery Voltage NRCS Unknown Unknown volt wdirvh_1 Wind Direction Average NRCS Unknown Unknown degrees wspdxh_1mx Wind Speed Maximum NRCS Unknown Unknown mph wspdvh1 Wind Speed Average NRCS Unknown Unknown mph rhumi_1 Relative Humidity; Vaisala NRCS Unknown Unknown percent presi_1 Barometric Pressure; Sampled 10 minutes NRCS Unknown Unknown inches sradvh_1 Solar Radiation Average NRCS Unknown Unknown watt dptph_1 Dew Point Temperature NRCS Unknown Unknown degrees Celsius pvpvh_1 Vapor Pressure NRCS Unknown Unknown kPa rhumnh_1 Relative Humidity Minimum NRCS Unknown Unknown percent rhumxh_1 Relative Humidity Maximum NRCS Unknown Unknown percent Earth Data Analysis Center Clearinghouse Manager mailing and physical address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 0800 - 1700 MT, M-F -7 hours GMT Downloadable Data The material on this site is made available as a public service. Maps and data are to be used for reference purposes only and the Earth Data Analysis Center (EDAC), New Mexico EPSCoR (NM EPSCoR), Energize New Mexico and The University of New Mexico are not responsible for any inaccuracies herein contained. No responsibility is assumed for damages or other liabilities due to the accuracy, availability, use or misuse of the information herein provided. Unless otherwise indicated in the documentation (metadata) for individual data sets, information on this site is public domain and may be copied without permission; citation of the source is appreciated. ZIP 1 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu ESRI Shapefile (shp) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu GML 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu KML 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu GeoJSON 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu JSON 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Comma Separated Values (csv) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu MS Excel format (xls) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Adequate computer capability is the only technical prerequisite for viewing data in digital form. 20150423 Earth Data Analysis Center Clearinghouse Manager mailing and physical address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 0800 - 1700 MT, M-F -7 hours GMT FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time 68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: Water and Climate Center, National Resources Conservation Service 20140804 SCAN Alcalde, NM (July, 2014) vector digital data http://nmepscor.org/dataportalhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shphttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.ziphttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojsonhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.jsonhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csvhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xlshttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.htmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.htmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more. The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more. Funding for this SCAN station was provided by EPSCoR. These data are
made available through New Mexico's Experimental Program to
Stimulate Competitive Research (NM EPSCoR) data portal. The portal provides access
to data generated by and of use to the EPSCoR community including researchers,
educators, and policy leaders, as well as the general public.
http://www.wcc.nrcs.usda.gov/scan/ 20140701 010000 20140801 Ground Condition Complete Unknown -106.05 -106.05 36.0833333333 36.0833333333 ISO 19115 Topic Categories climatologyMeteorologyAtmosphere http://www.wcc.nrcs.usda.gov/scan/ precipitation air temperature relative humidity solar radiation barometric pressure snow water content snow depth soil moisture soil temperature EPSCoR Project EPSCoR Tract 3 Spatial Reference System Identifiers EPSG:4269 EPSG:7019 http://www.wcc.nrcs.usda.gov/scan/ NM Rio Arriba Alcalde None None Tony Tolsdorf National Water and Climate Center Monitoring Branch Leader Mailing address 1201 NE Lloyd Blvd., Suite 802 Portland OR 97232-1274 503-414-3006 tony.tolsdorf@por.usda.gov Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog
9.3.1.3000 Not provided Not provided Create the shapefiles using the provided lat/lon from the NRCS, one per
station using an Arcpy script. Download the CSV data for each station, each
year, each month from the station's Reporting Since date. 20140804 Earth Data Analysis Center Clearinghouse Manager mailing address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 8am to 5pm MT, M-F Rio Arriba County, NM Vector Point 744 0.00000001 0.00000001 Decimal degrees North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 SCAN Soil, Climate, Analysis, Network (SCAN) http://www.wcc.nrcs.usda.gov/scan/ FID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Coordinates defining the features. site_id NRCS Internal Site Number NRCS NRCS Internal Site Number date Date NRCS Date time Time (Pacific Standard Time) NRCS Time (Pacific Standard Time) preci_1 Precipitation Accumulated NRCS Unknown Unknown inches tobsi_1 Air Temperature Observed NRCS Unknown Unknown degrees Celsius tmaxh_1 Air Temperature Maximum NRCS Unknown Unknown degrees Celsius tminh_1 Air Temperature Minimum NRCS Unknown Unknown degrees Celsius tavgh_1 Air Temperature Average NRCS Unknown Unknown degrees Celsius prcph_1 Precipitation Increment NRCS Unknown Unknown inches smsi_1_2l Soil Moisture Percent; Sensor Height -2in NRCS Unknown Unknown percent smsi_1_4l Soil Moisture Percent; Sensor Height -4in NRCS Unknown Unknown percent smsi_1_8l Soil Moisture Percent; Sensor Height -8in NRCS Unknown Unknown percent smsi_1_20l Soil Moisture Percent; Sensor Height -20in NRCS Unknown Unknown percent smsi_1_40l Soil Moisture Percent; Sensor Height -40in NRCS Unknown Unknown percent stoi_1_2 Soil Temperature Observed; Sensor Height -2in NRCS Unknown Unknown degrees Celsius stoi_1_4 Soil Temperature Observed; Sensor Height -4in NRCS Unknown Unknown degrees Celsius stoi_1_8 Soil Temperature Observed; Sensor Height -8in NRCS Unknown Unknown degrees Celsius stoi_1_20 Soil Temperature Observed; Sensor Height -20in NRCS Unknown Unknown degrees Celsius stoi_1_40 Soil Temperature Observed; Sensor Height -40in NRCS Unknown Unknown degrees Celsius stoi_2_2 Soil Temperature Observed; Sensor Height -2in NRCS Unknown Unknown degrees Celsius stoi_2_4 Soil Temperature Observed; Sensor Height -4in NRCS Unknown Unknown degrees Celsius stoi_2_8 Soil Temperature Observed; Sensor Height -8in NRCS Unknown Unknown degrees Celsius stoi_2_20 Soil Temperature Observed; Sensor Height -20in NRCS Unknown Unknown degrees Celsius stoi_2_40 Soil Temperature Observed; Sensor Height -40in NRCS Unknown Unknown degrees Celsius sali_1_2 Salinity; Sensor Height -2in NRCS Unknown Unknown gram sali_1_4 Salinity; Sensor Height -4in NRCS Unknown Unknown gram sali_1_8 Salinity; Sensor Height -8in NRCS Unknown Unknown gram sali_1_20 Salinity; Sensor Height -20in NRCS Unknown Unknown gram sali_1_40 Salinity; Sensor Height -40in NRCS Unknown Unknown gram rdci_1_2 Real Dielectric Constant; Sensor Height -2in NRCS Unknown Unknown unitless rdci_1_4 Real Dielectric Constant; Sensor Height -4in NRCS Unknown Unknown unitless rdci_1_8 Real Dielectric Constant; Sensor Height -8in NRCS Unknown Unknown unitless rdci_1_20 Real Dielectric Constant; Sensor Height -20in NRCS Unknown Unknown unitless rdci_1_40 Real Dielectric Constant; Sensor Height -40in NRCS Unknown Unknown unitless batti_1 Battery Voltage NRCS Unknown Unknown volt batti_2 Battery Voltage NRCS Unknown Unknown volt wdirvh_1 Wind Direction Average NRCS Unknown Unknown degrees wspdxh_1mx Wind Speed Maximum NRCS Unknown Unknown mph wspdvh1 Wind Speed Average NRCS Unknown Unknown mph rhumi_1 Relative Humidity; Vaisala NRCS Unknown Unknown percent presi_1 Barometric Pressure; Sampled 10 minutes NRCS Unknown Unknown inches sradvh_1 Solar Radiation Average NRCS Unknown Unknown watt dptph_1 Dew Point Temperature NRCS Unknown Unknown degrees Celsius pvpvh_1 Vapor Pressure NRCS Unknown Unknown kPa rhumnh_1 Relative Humidity Minimum NRCS Unknown Unknown percent rhumxh_1 Relative Humidity Maximum NRCS Unknown Unknown percent Earth Data Analysis Center Clearinghouse Manager mailing and physical address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 0800 - 1700 MT, M-F -7 hours GMT Downloadable Data The material on this site is made available as a public service. Maps and data are to be used for reference purposes only and the Earth Data Analysis Center (EDAC), New Mexico EPSCoR (NM EPSCoR), Energize New Mexico and The University of New Mexico are not responsible for any inaccuracies herein contained. No responsibility is assumed for damages or other liabilities due to the accuracy, availability, use or misuse of the information herein provided. Unless otherwise indicated in the documentation (metadata) for individual data sets, information on this site is public domain and may be copied without permission; citation of the source is appreciated. ZIP 1 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu ESRI Shapefile (shp) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu GML 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu KML 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu GeoJSON 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu JSON 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Comma Separated Values (csv) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu MS Excel format (xls) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Adequate computer capability is the only technical prerequisite for viewing data in digital form. 20150423 Earth Data Analysis Center Clearinghouse Manager mailing and physical address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 0800 - 1700 MT, M-F -7 hours GMT FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time 68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Comparing value for field presentationCat
Doc Value: vector digital data
Solr Value: vector digital data
Comparing value for field author
Doc Value: Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service
Comparing value for field authorSurName
Doc Value: Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service
Comparing value for field authorSurNameSort
Doc Value: Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service
Comparing value for field investigator
Doc Value: [Water and Climate Center, National Resources Conservation Service]
Solr Value: [Water and Climate Center, National Resources Conservation Service]
Comparing value for field attributeName
Doc Value: [FID, Shape, site_id, date, time, preci_1, tobsi_1, tmaxh_1, tminh_1, tavgh_1, prcph_1, smsi_1_2l, smsi_1_4l, smsi_1_8l, smsi_1_20l, smsi_1_40l, stoi_1_2, stoi_1_4, stoi_1_8, stoi_1_20, stoi_1_40, stoi_2_2, stoi_2_4, stoi_2_8, stoi_2_20, stoi_2_40, sali_1_2, sali_1_4, sali_1_8, sali_1_20, sali_1_40, rdci_1_2, rdci_1_4, rdci_1_8, rdci_1_20, rdci_1_40, batti_1, batti_2, wdirvh_1, wspdxh_1mx, wspdvh1, rhumi_1, presi_1, sradvh_1, dptph_1, pvpvh_1, rhumnh_1, rhumxh_1]
Solr Value: [FID, Shape, site_id, date, time, preci_1, tobsi_1, tmaxh_1, tminh_1, tavgh_1, prcph_1, smsi_1_2l, smsi_1_4l, smsi_1_8l, smsi_1_20l, smsi_1_40l, stoi_1_2, stoi_1_4, stoi_1_8, stoi_1_20, stoi_1_40, stoi_2_2, stoi_2_4, stoi_2_8, stoi_2_20, stoi_2_40, sali_1_2, sali_1_4, sali_1_8, sali_1_20, sali_1_40, rdci_1_2, rdci_1_4, rdci_1_8, rdci_1_20, rdci_1_40, batti_1, batti_2, wdirvh_1, wspdxh_1mx, wspdvh1, rhumi_1, presi_1, sradvh_1, dptph_1, pvpvh_1, rhumnh_1, rhumxh_1]
Comparing value for field attributeDescription
Doc Value: [Internal feature number., Feature geometry., NRCS Internal Site Number, Date, Time (Pacific Standard Time), Precipitation Accumulated, Air Temperature Observed, Air Temperature Maximum, Air Temperature Minimum, Air Temperature Average, Precipitation Increment, Soil Moisture Percent; Sensor Height -2in, Soil Moisture Percent; Sensor Height -4in, Soil Moisture Percent; Sensor Height -8in, Soil Moisture Percent; Sensor Height -20in, Soil Moisture Percent; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Salinity; Sensor Height -2in, Salinity; Sensor Height -4in, Salinity; Sensor Height -8in, Salinity; Sensor Height -20in, Salinity; Sensor Height -40in, Real Dielectric Constant; Sensor Height -2in, Real Dielectric Constant; Sensor Height -4in, Real Dielectric Constant; Sensor Height -8in, Real Dielectric Constant; Sensor Height -20in, Real Dielectric Constant; Sensor Height -40in, Battery Voltage, Battery Voltage, Wind Direction Average, Wind Speed Maximum, Wind Speed Average, Relative Humidity; Vaisala, Barometric Pressure; Sampled 10 minutes, Solar Radiation Average, Dew Point Temperature, Vapor Pressure, Relative Humidity Minimum, Relative Humidity Maximum]
Solr Value: [Internal feature number., Feature geometry., NRCS Internal Site Number, Date, Time (Pacific Standard Time), Precipitation Accumulated, Air Temperature Observed, Air Temperature Maximum, Air Temperature Minimum, Air Temperature Average, Precipitation Increment, Soil Moisture Percent; Sensor Height -2in, Soil Moisture Percent; Sensor Height -4in, Soil Moisture Percent; Sensor Height -8in, Soil Moisture Percent; Sensor Height -20in, Soil Moisture Percent; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Salinity; Sensor Height -2in, Salinity; Sensor Height -4in, Salinity; Sensor Height -8in, Salinity; Sensor Height -20in, Salinity; Sensor Height -40in, Real Dielectric Constant; Sensor Height -2in, Real Dielectric Constant; Sensor Height -4in, Real Dielectric Constant; Sensor Height -8in, Real Dielectric Constant; Sensor Height -20in, Real Dielectric Constant; Sensor Height -40in, Battery Voltage, Battery Voltage, Wind Direction Average, Wind Speed Maximum, Wind Speed Average, Relative Humidity; Vaisala, Barometric Pressure; Sampled 10 minutes, Solar Radiation Average, Dew Point Temperature, Vapor Pressure, Relative Humidity Minimum, Relative Humidity Maximum]
Comparing value for field attributeUnit
Doc Value: [inches, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, inches, percent, percent, percent, percent, percent, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, gram, gram, gram, gram, gram, unitless, unitless, unitless, unitless, unitless, volt, volt, degrees, mph, mph, percent, inches, watt, degrees Celsius, kPa, percent, percent]
Solr Value: [inches, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, inches, percent, percent, percent, percent, percent, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, gram, gram, gram, gram, gram, unitless, unitless, unitless, unitless, unitless, volt, volt, degrees, mph, mph, percent, inches, watt, degrees Celsius, kPa, percent, percent]
Comparing value for field attribute
Doc Value: [FID Internal feature number., Shape Feature geometry., site_id NRCS Internal Site Number, date Date, time Time (Pacific Standard Time), preci_1 Precipitation Accumulated inches, tobsi_1 Air Temperature Observed degrees Celsius, tmaxh_1 Air Temperature Maximum degrees Celsius, tminh_1 Air Temperature Minimum degrees Celsius, tavgh_1 Air Temperature Average degrees Celsius, prcph_1 Precipitation Increment inches, smsi_1_2l Soil Moisture Percent; Sensor Height -2in percent, smsi_1_4l Soil Moisture Percent; Sensor Height -4in percent, smsi_1_8l Soil Moisture Percent; Sensor Height -8in percent, smsi_1_20l Soil Moisture Percent; Sensor Height -20in percent, smsi_1_40l Soil Moisture Percent; Sensor Height -40in percent, stoi_1_2 Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_1_4 Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_1_8 Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_1_20 Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_1_40 Soil Temperature Observed; Sensor Height -40in degrees Celsius, stoi_2_2 Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_2_4 Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_2_8 Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_2_20 Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_2_40 Soil Temperature Observed; Sensor Height -40in degrees Celsius, sali_1_2 Salinity; Sensor Height -2in gram, sali_1_4 Salinity; Sensor Height -4in gram, sali_1_8 Salinity; Sensor Height -8in gram, sali_1_20 Salinity; Sensor Height -20in gram, sali_1_40 Salinity; Sensor Height -40in gram, rdci_1_2 Real Dielectric Constant; Sensor Height -2in unitless, rdci_1_4 Real Dielectric Constant; Sensor Height -4in unitless, rdci_1_8 Real Dielectric Constant; Sensor Height -8in unitless, rdci_1_20 Real Dielectric Constant; Sensor Height -20in unitless, rdci_1_40 Real Dielectric Constant; Sensor Height -40in unitless, batti_1 Battery Voltage volt, batti_2 Battery Voltage volt, wdirvh_1 Wind Direction Average degrees, wspdxh_1mx Wind Speed Maximum mph, wspdvh1 Wind Speed Average mph, rhumi_1 Relative Humidity; Vaisala percent, presi_1 Barometric Pressure; Sampled 10 minutes inches, sradvh_1 Solar Radiation Average watt, dptph_1 Dew Point Temperature degrees Celsius, pvpvh_1 Vapor Pressure kPa, rhumnh_1 Relative Humidity Minimum percent, rhumxh_1 Relative Humidity Maximum percent]
Solr Value: [FID Internal feature number., Shape Feature geometry., site_id NRCS Internal Site Number, date Date, time Time (Pacific Standard Time), preci_1 Precipitation Accumulated inches, tobsi_1 Air Temperature Observed degrees Celsius, tmaxh_1 Air Temperature Maximum degrees Celsius, tminh_1 Air Temperature Minimum degrees Celsius, tavgh_1 Air Temperature Average degrees Celsius, prcph_1 Precipitation Increment inches, smsi_1_2l Soil Moisture Percent; Sensor Height -2in percent, smsi_1_4l Soil Moisture Percent; Sensor Height -4in percent, smsi_1_8l Soil Moisture Percent; Sensor Height -8in percent, smsi_1_20l Soil Moisture Percent; Sensor Height -20in percent, smsi_1_40l Soil Moisture Percent; Sensor Height -40in percent, stoi_1_2 Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_1_4 Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_1_8 Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_1_20 Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_1_40 Soil Temperature Observed; Sensor Height -40in degrees Celsius, stoi_2_2 Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_2_4 Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_2_8 Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_2_20 Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_2_40 Soil Temperature Observed; Sensor Height -40in degrees Celsius, sali_1_2 Salinity; Sensor Height -2in gram, sali_1_4 Salinity; Sensor Height -4in gram, sali_1_8 Salinity; Sensor Height -8in gram, sali_1_20 Salinity; Sensor Height -20in gram, sali_1_40 Salinity; Sensor Height -40in gram, rdci_1_2 Real Dielectric Constant; Sensor Height -2in unitless, rdci_1_4 Real Dielectric Constant; Sensor Height -4in unitless, rdci_1_8 Real Dielectric Constant; Sensor Height -8in unitless, rdci_1_20 Real Dielectric Constant; Sensor Height -20in unitless, rdci_1_40 Real Dielectric Constant; Sensor Height -40in unitless, batti_1 Battery Voltage volt, batti_2 Battery Voltage volt, wdirvh_1 Wind Direction Average degrees, wspdxh_1mx Wind Speed Maximum mph, wspdvh1 Wind Speed Average mph, rhumi_1 Relative Humidity; Vaisala percent, presi_1 Barometric Pressure; Sampled 10 minutes inches, sradvh_1 Solar Radiation Average watt, dptph_1 Dew Point Temperature degrees Celsius, pvpvh_1 Vapor Pressure kPa, rhumnh_1 Relative Humidity Minimum percent, rhumxh_1 Relative Humidity Maximum percent]
Comparing value for field geohash_1
Doc Value: [9]
Solr Value: [9]
Comparing value for field geohash_2
Doc Value: [9w]
Solr Value: [9w]
Comparing value for field geohash_3
Doc Value: [9wk]
Solr Value: [9wk]
Comparing value for field geohash_4
Doc Value: [9wkt]
Solr Value: [9wkt]
Comparing value for field geohash_5
Doc Value: [9wkt6]
Solr Value: [9wkt6]
Comparing value for field geohash_6
Doc Value: [9wkt6b]
Solr Value: [9wkt6b]
Comparing value for field geohash_7
Doc Value: [9wkt6bb]
Solr Value: [9wkt6bb]
Comparing value for field geohash_8
Doc Value: [9wkt6bb8]
Solr Value: [9wkt6bb8]
Comparing value for field geohash_9
Doc Value: [9wkt6bb8x]
Solr Value: [9wkt6bb8x]
Comparing value for field dataUrl
Doc Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Comparing value for field abstract
Doc Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more.
Solr Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more.
Comparing value for field beginDate
Doc Value: Tue Jul 01 00:00:00 GMT 2014
Solr Value: Tue Jul 01 00:00:00 GMT 2014
Comparing value for field contactOrganization
Doc Value: [Earth Data Analysis Center]
Solr Value: [Earth Data Analysis Center]
Comparing value for field eastBoundCoord
Doc Value: -106.05
Solr Value: -106.05
Comparing value for field westBoundCoord
Doc Value: -106.05
Solr Value: -106.05
Comparing value for field northBoundCoord
Doc Value: 36.083332
Solr Value: 36.083332
Comparing value for field southBoundCoord
Doc Value: 36.083332
Solr Value: 36.083332
Comparing value for field endDate
Doc Value: Fri Aug 01 00:00:00 GMT 2014
Solr Value: Fri Aug 01 00:00:00 GMT 2014
Comparing value for field keywords
Doc Value: [climatologyMeteorologyAtmosphere, precipitation, air temperature, relative humidity, solar radiation, barometric pressure, snow water content, snow depth, soil moisture, soil temperature, EPSCoR Tract 3, EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Solr Value: [climatologyMeteorologyAtmosphere, precipitation, air temperature, relative humidity, solar radiation, barometric pressure, snow water content, snow depth, soil moisture, soil temperature, EPSCoR Tract 3, EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Comparing value for field geoform
Doc Value: vector digital data
Solr Value: vector digital data
Comparing value for field origin
Doc Value: [Water and Climate Center, National Resources Conservation Service]
Solr Value: [Water and Climate Center, National Resources Conservation Service]
Comparing value for field placeKey
Doc Value: [EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Solr Value: [EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Comparing value for field pubDate
Doc Value: Mon Aug 04 00:00:00 GMT 2014
Solr Value: Mon Aug 04 00:00:00 GMT 2014
Comparing value for field purpose
Doc Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more.
Solr Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more.
Comparing value for field title
Doc Value: SCAN Alcalde, NM (July, 2014)
Solr Value: SCAN Alcalde, NM (July, 2014)
Comparing value for field webUrl
Doc Value: [http://nmepscor.org/dataportal, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml]
Solr Value: [http://nmepscor.org/dataportal, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml]
Comparing value for field fileID
Doc Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Comparing value for field text
Doc Value: Water and Climate Center, National Resources Conservation Service 20140804 SCAN Alcalde, NM (July, 2014) vector digital data http://nmepscor.org/dataportalhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shphttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.ziphttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojsonhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.jsonhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csvhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xlshttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.htmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.htmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more. The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more. Funding for this SCAN station was provided by EPSCoR. These data are
made available through New Mexico's Experimental Program to
Stimulate Competitive Research (NM EPSCoR) data portal. The portal provides access
to data generated by and of use to the EPSCoR community including researchers,
educators, and policy leaders, as well as the general public.
http://www.wcc.nrcs.usda.gov/scan/ 20140701 010000 20140801 Ground Condition Complete Unknown -106.05 -106.05 36.0833333333 36.0833333333 ISO 19115 Topic Categories climatologyMeteorologyAtmosphere http://www.wcc.nrcs.usda.gov/scan/ precipitation air temperature relative humidity solar radiation barometric pressure snow water content snow depth soil moisture soil temperature EPSCoR Project EPSCoR Tract 3 Spatial Reference System Identifiers EPSG:4269 EPSG:7019 http://www.wcc.nrcs.usda.gov/scan/ NM Rio Arriba Alcalde None None Tony Tolsdorf National Water and Climate Center Monitoring Branch Leader Mailing address 1201 NE Lloyd Blvd., Suite 802 Portland OR 97232-1274 503-414-3006 tony.tolsdorf@por.usda.gov Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog
9.3.1.3000 Not provided Not provided Create the shapefiles using the provided lat/lon from the NRCS, one per
station using an Arcpy script. Download the CSV data for each station, each
year, each month from the station's Reporting Since date. 20140804 Earth Data Analysis Center Clearinghouse Manager mailing address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 8am to 5pm MT, M-F Rio Arriba County, NM Vector Point 744 0.00000001 0.00000001 Decimal degrees North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 SCAN Soil, Climate, Analysis, Network (SCAN) http://www.wcc.nrcs.usda.gov/scan/ FID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Coordinates defining the features. site_id NRCS Internal Site Number NRCS NRCS Internal Site Number date Date NRCS Date time Time (Pacific Standard Time) NRCS Time (Pacific Standard Time) preci_1 Precipitation Accumulated NRCS Unknown Unknown inches tobsi_1 Air Temperature Observed NRCS Unknown Unknown degrees Celsius tmaxh_1 Air Temperature Maximum NRCS Unknown Unknown degrees Celsius tminh_1 Air Temperature Minimum NRCS Unknown Unknown degrees Celsius tavgh_1 Air Temperature Average NRCS Unknown Unknown degrees Celsius prcph_1 Precipitation Increment NRCS Unknown Unknown inches smsi_1_2l Soil Moisture Percent; Sensor Height -2in NRCS Unknown Unknown percent smsi_1_4l Soil Moisture Percent; Sensor Height -4in NRCS Unknown Unknown percent smsi_1_8l Soil Moisture Percent; Sensor Height -8in NRCS Unknown Unknown percent smsi_1_20l Soil Moisture Percent; Sensor Height -20in NRCS Unknown Unknown percent smsi_1_40l Soil Moisture Percent; Sensor Height -40in NRCS Unknown Unknown percent stoi_1_2 Soil Temperature Observed; Sensor Height -2in NRCS Unknown Unknown degrees Celsius stoi_1_4 Soil Temperature Observed; Sensor Height -4in NRCS Unknown Unknown degrees Celsius stoi_1_8 Soil Temperature Observed; Sensor Height -8in NRCS Unknown Unknown degrees Celsius stoi_1_20 Soil Temperature Observed; Sensor Height -20in NRCS Unknown Unknown degrees Celsius stoi_1_40 Soil Temperature Observed; Sensor Height -40in NRCS Unknown Unknown degrees Celsius stoi_2_2 Soil Temperature Observed; Sensor Height -2in NRCS Unknown Unknown degrees Celsius stoi_2_4 Soil Temperature Observed; Sensor Height -4in NRCS Unknown Unknown degrees Celsius stoi_2_8 Soil Temperature Observed; Sensor Height -8in NRCS Unknown Unknown degrees Celsius stoi_2_20 Soil Temperature Observed; Sensor Height -20in NRCS Unknown Unknown degrees Celsius stoi_2_40 Soil Temperature Observed; Sensor Height -40in NRCS Unknown Unknown degrees Celsius sali_1_2 Salinity; Sensor Height -2in NRCS Unknown Unknown gram sali_1_4 Salinity; Sensor Height -4in NRCS Unknown Unknown gram sali_1_8 Salinity; Sensor Height -8in NRCS Unknown Unknown gram sali_1_20 Salinity; Sensor Height -20in NRCS Unknown Unknown gram sali_1_40 Salinity; Sensor Height -40in NRCS Unknown Unknown gram rdci_1_2 Real Dielectric Constant; Sensor Height -2in NRCS Unknown Unknown unitless rdci_1_4 Real Dielectric Constant; Sensor Height -4in NRCS Unknown Unknown unitless rdci_1_8 Real Dielectric Constant; Sensor Height -8in NRCS Unknown Unknown unitless rdci_1_20 Real Dielectric Constant; Sensor Height -20in NRCS Unknown Unknown unitless rdci_1_40 Real Dielectric Constant; Sensor Height -40in NRCS Unknown Unknown unitless batti_1 Battery Voltage NRCS Unknown Unknown volt batti_2 Battery Voltage NRCS Unknown Unknown volt wdirvh_1 Wind Direction Average NRCS Unknown Unknown degrees wspdxh_1mx Wind Speed Maximum NRCS Unknown Unknown mph wspdvh1 Wind Speed Average NRCS Unknown Unknown mph rhumi_1 Relative Humidity; Vaisala NRCS Unknown Unknown percent presi_1 Barometric Pressure; Sampled 10 minutes NRCS Unknown Unknown inches sradvh_1 Solar Radiation Average NRCS Unknown Unknown watt dptph_1 Dew Point Temperature NRCS Unknown Unknown degrees Celsius pvpvh_1 Vapor Pressure NRCS Unknown Unknown kPa rhumnh_1 Relative Humidity Minimum NRCS Unknown Unknown percent rhumxh_1 Relative Humidity Maximum NRCS Unknown Unknown percent Earth Data Analysis Center Clearinghouse Manager mailing and physical address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 0800 - 1700 MT, M-F -7 hours GMT Downloadable Data The material on this site is made available as a public service. Maps and data are to be used for reference purposes only and the Earth Data Analysis Center (EDAC), New Mexico EPSCoR (NM EPSCoR), Energize New Mexico and The University of New Mexico are not responsible for any inaccuracies herein contained. No responsibility is assumed for damages or other liabilities due to the accuracy, availability, use or misuse of the information herein provided. Unless otherwise indicated in the documentation (metadata) for individual data sets, information on this site is public domain and may be copied without permission; citation of the source is appreciated. ZIP 1 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu ESRI Shapefile (shp) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu GML 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu KML 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu GeoJSON 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu JSON 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Comma Separated Values (csv) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu MS Excel format (xls) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Adequate computer capability is the only technical prerequisite for viewing data in digital form. 20150423 Earth Data Analysis Center Clearinghouse Manager mailing and physical address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 0800 - 1700 MT, M-F -7 hours GMT FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time 68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: Water and Climate Center, National Resources Conservation Service 20140804 SCAN Alcalde, NM (July, 2014) vector digital data http://nmepscor.org/dataportalhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shphttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.ziphttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojsonhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.jsonhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csvhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xlshttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.htmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.htmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more. The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more. Funding for this SCAN station was provided by EPSCoR. These data are
made available through New Mexico's Experimental Program to
Stimulate Competitive Research (NM EPSCoR) data portal. The portal provides access
to data generated by and of use to the EPSCoR community including researchers,
educators, and policy leaders, as well as the general public.
http://www.wcc.nrcs.usda.gov/scan/ 20140701 010000 20140801 Ground Condition Complete Unknown -106.05 -106.05 36.0833333333 36.0833333333 ISO 19115 Topic Categories climatologyMeteorologyAtmosphere http://www.wcc.nrcs.usda.gov/scan/ precipitation air temperature relative humidity solar radiation barometric pressure snow water content snow depth soil moisture soil temperature EPSCoR Project EPSCoR Tract 3 Spatial Reference System Identifiers EPSG:4269 EPSG:7019 http://www.wcc.nrcs.usda.gov/scan/ NM Rio Arriba Alcalde None None Tony Tolsdorf National Water and Climate Center Monitoring Branch Leader Mailing address 1201 NE Lloyd Blvd., Suite 802 Portland OR 97232-1274 503-414-3006 tony.tolsdorf@por.usda.gov Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog
9.3.1.3000 Not provided Not provided Create the shapefiles using the provided lat/lon from the NRCS, one per
station using an Arcpy script. Download the CSV data for each station, each
year, each month from the station's Reporting Since date. 20140804 Earth Data Analysis Center Clearinghouse Manager mailing address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 8am to 5pm MT, M-F Rio Arriba County, NM Vector Point 744 0.00000001 0.00000001 Decimal degrees North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 SCAN Soil, Climate, Analysis, Network (SCAN) http://www.wcc.nrcs.usda.gov/scan/ FID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Coordinates defining the features. site_id NRCS Internal Site Number NRCS NRCS Internal Site Number date Date NRCS Date time Time (Pacific Standard Time) NRCS Time (Pacific Standard Time) preci_1 Precipitation Accumulated NRCS Unknown Unknown inches tobsi_1 Air Temperature Observed NRCS Unknown Unknown degrees Celsius tmaxh_1 Air Temperature Maximum NRCS Unknown Unknown degrees Celsius tminh_1 Air Temperature Minimum NRCS Unknown Unknown degrees Celsius tavgh_1 Air Temperature Average NRCS Unknown Unknown degrees Celsius prcph_1 Precipitation Increment NRCS Unknown Unknown inches smsi_1_2l Soil Moisture Percent; Sensor Height -2in NRCS Unknown Unknown percent smsi_1_4l Soil Moisture Percent; Sensor Height -4in NRCS Unknown Unknown percent smsi_1_8l Soil Moisture Percent; Sensor Height -8in NRCS Unknown Unknown percent smsi_1_20l Soil Moisture Percent; Sensor Height -20in NRCS Unknown Unknown percent smsi_1_40l Soil Moisture Percent; Sensor Height -40in NRCS Unknown Unknown percent stoi_1_2 Soil Temperature Observed; Sensor Height -2in NRCS Unknown Unknown degrees Celsius stoi_1_4 Soil Temperature Observed; Sensor Height -4in NRCS Unknown Unknown degrees Celsius stoi_1_8 Soil Temperature Observed; Sensor Height -8in NRCS Unknown Unknown degrees Celsius stoi_1_20 Soil Temperature Observed; Sensor Height -20in NRCS Unknown Unknown degrees Celsius stoi_1_40 Soil Temperature Observed; Sensor Height -40in NRCS Unknown Unknown degrees Celsius stoi_2_2 Soil Temperature Observed; Sensor Height -2in NRCS Unknown Unknown degrees Celsius stoi_2_4 Soil Temperature Observed; Sensor Height -4in NRCS Unknown Unknown degrees Celsius stoi_2_8 Soil Temperature Observed; Sensor Height -8in NRCS Unknown Unknown degrees Celsius stoi_2_20 Soil Temperature Observed; Sensor Height -20in NRCS Unknown Unknown degrees Celsius stoi_2_40 Soil Temperature Observed; Sensor Height -40in NRCS Unknown Unknown degrees Celsius sali_1_2 Salinity; Sensor Height -2in NRCS Unknown Unknown gram sali_1_4 Salinity; Sensor Height -4in NRCS Unknown Unknown gram sali_1_8 Salinity; Sensor Height -8in NRCS Unknown Unknown gram sali_1_20 Salinity; Sensor Height -20in NRCS Unknown Unknown gram sali_1_40 Salinity; Sensor Height -40in NRCS Unknown Unknown gram rdci_1_2 Real Dielectric Constant; Sensor Height -2in NRCS Unknown Unknown unitless rdci_1_4 Real Dielectric Constant; Sensor Height -4in NRCS Unknown Unknown unitless rdci_1_8 Real Dielectric Constant; Sensor Height -8in NRCS Unknown Unknown unitless rdci_1_20 Real Dielectric Constant; Sensor Height -20in NRCS Unknown Unknown unitless rdci_1_40 Real Dielectric Constant; Sensor Height -40in NRCS Unknown Unknown unitless batti_1 Battery Voltage NRCS Unknown Unknown volt batti_2 Battery Voltage NRCS Unknown Unknown volt wdirvh_1 Wind Direction Average NRCS Unknown Unknown degrees wspdxh_1mx Wind Speed Maximum NRCS Unknown Unknown mph wspdvh1 Wind Speed Average NRCS Unknown Unknown mph rhumi_1 Relative Humidity; Vaisala NRCS Unknown Unknown percent presi_1 Barometric Pressure; Sampled 10 minutes NRCS Unknown Unknown inches sradvh_1 Solar Radiation Average NRCS Unknown Unknown watt dptph_1 Dew Point Temperature NRCS Unknown Unknown degrees Celsius pvpvh_1 Vapor Pressure NRCS Unknown Unknown kPa rhumnh_1 Relative Humidity Minimum NRCS Unknown Unknown percent rhumxh_1 Relative Humidity Maximum NRCS Unknown Unknown percent Earth Data Analysis Center Clearinghouse Manager mailing and physical address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 0800 - 1700 MT, M-F -7 hours GMT Downloadable Data The material on this site is made available as a public service. Maps and data are to be used for reference purposes only and the Earth Data Analysis Center (EDAC), New Mexico EPSCoR (NM EPSCoR), Energize New Mexico and The University of New Mexico are not responsible for any inaccuracies herein contained. No responsibility is assumed for damages or other liabilities due to the accuracy, availability, use or misuse of the information herein provided. Unless otherwise indicated in the documentation (metadata) for individual data sets, information on this site is public domain and may be copied without permission; citation of the source is appreciated. ZIP 1 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu ESRI Shapefile (shp) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu GML 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu KML 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu GeoJSON 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu JSON 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Comma Separated Values (csv) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu MS Excel format (xls) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Adequate computer capability is the only technical prerequisite for viewing data in digital form. 20150423 Earth Data Analysis Center Clearinghouse Manager mailing and physical address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 0800 - 1700 MT, M-F -7 hours GMT FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time 68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Comparing value for field presentationCat
Doc Value: vector digital data
Solr Value: vector digital data
Comparing value for field author
Doc Value: Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service
Comparing value for field authorSurName
Doc Value: Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service
Comparing value for field authorSurNameSort
Doc Value: Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service
Comparing value for field investigator
Doc Value: [Water and Climate Center, National Resources Conservation Service]
Solr Value: [Water and Climate Center, National Resources Conservation Service]
Comparing value for field attributeName
Doc Value: [FID, Shape, site_id, date, time, preci_1, tobsi_1, tmaxh_1, tminh_1, tavgh_1, prcph_1, smsi_1_2l, smsi_1_4l, smsi_1_8l, smsi_1_20l, smsi_1_40l, stoi_1_2, stoi_1_4, stoi_1_8, stoi_1_20, stoi_1_40, stoi_2_2, stoi_2_4, stoi_2_8, stoi_2_20, stoi_2_40, sali_1_2, sali_1_4, sali_1_8, sali_1_20, sali_1_40, rdci_1_2, rdci_1_4, rdci_1_8, rdci_1_20, rdci_1_40, batti_1, batti_2, wdirvh_1, wspdxh_1mx, wspdvh1, rhumi_1, presi_1, sradvh_1, dptph_1, pvpvh_1, rhumnh_1, rhumxh_1]
Solr Value: [FID, Shape, site_id, date, time, preci_1, tobsi_1, tmaxh_1, tminh_1, tavgh_1, prcph_1, smsi_1_2l, smsi_1_4l, smsi_1_8l, smsi_1_20l, smsi_1_40l, stoi_1_2, stoi_1_4, stoi_1_8, stoi_1_20, stoi_1_40, stoi_2_2, stoi_2_4, stoi_2_8, stoi_2_20, stoi_2_40, sali_1_2, sali_1_4, sali_1_8, sali_1_20, sali_1_40, rdci_1_2, rdci_1_4, rdci_1_8, rdci_1_20, rdci_1_40, batti_1, batti_2, wdirvh_1, wspdxh_1mx, wspdvh1, rhumi_1, presi_1, sradvh_1, dptph_1, pvpvh_1, rhumnh_1, rhumxh_1]
Comparing value for field attributeDescription
Doc Value: [Internal feature number., Feature geometry., NRCS Internal Site Number, Date, Time (Pacific Standard Time), Precipitation Accumulated, Air Temperature Observed, Air Temperature Maximum, Air Temperature Minimum, Air Temperature Average, Precipitation Increment, Soil Moisture Percent; Sensor Height -2in, Soil Moisture Percent; Sensor Height -4in, Soil Moisture Percent; Sensor Height -8in, Soil Moisture Percent; Sensor Height -20in, Soil Moisture Percent; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Salinity; Sensor Height -2in, Salinity; Sensor Height -4in, Salinity; Sensor Height -8in, Salinity; Sensor Height -20in, Salinity; Sensor Height -40in, Real Dielectric Constant; Sensor Height -2in, Real Dielectric Constant; Sensor Height -4in, Real Dielectric Constant; Sensor Height -8in, Real Dielectric Constant; Sensor Height -20in, Real Dielectric Constant; Sensor Height -40in, Battery Voltage, Battery Voltage, Wind Direction Average, Wind Speed Maximum, Wind Speed Average, Relative Humidity; Vaisala, Barometric Pressure; Sampled 10 minutes, Solar Radiation Average, Dew Point Temperature, Vapor Pressure, Relative Humidity Minimum, Relative Humidity Maximum]
Solr Value: [Internal feature number., Feature geometry., NRCS Internal Site Number, Date, Time (Pacific Standard Time), Precipitation Accumulated, Air Temperature Observed, Air Temperature Maximum, Air Temperature Minimum, Air Temperature Average, Precipitation Increment, Soil Moisture Percent; Sensor Height -2in, Soil Moisture Percent; Sensor Height -4in, Soil Moisture Percent; Sensor Height -8in, Soil Moisture Percent; Sensor Height -20in, Soil Moisture Percent; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Salinity; Sensor Height -2in, Salinity; Sensor Height -4in, Salinity; Sensor Height -8in, Salinity; Sensor Height -20in, Salinity; Sensor Height -40in, Real Dielectric Constant; Sensor Height -2in, Real Dielectric Constant; Sensor Height -4in, Real Dielectric Constant; Sensor Height -8in, Real Dielectric Constant; Sensor Height -20in, Real Dielectric Constant; Sensor Height -40in, Battery Voltage, Battery Voltage, Wind Direction Average, Wind Speed Maximum, Wind Speed Average, Relative Humidity; Vaisala, Barometric Pressure; Sampled 10 minutes, Solar Radiation Average, Dew Point Temperature, Vapor Pressure, Relative Humidity Minimum, Relative Humidity Maximum]
Comparing value for field attributeUnit
Doc Value: [inches, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, inches, percent, percent, percent, percent, percent, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, gram, gram, gram, gram, gram, unitless, unitless, unitless, unitless, unitless, volt, volt, degrees, mph, mph, percent, inches, watt, degrees Celsius, kPa, percent, percent]
Solr Value: [inches, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, inches, percent, percent, percent, percent, percent, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, gram, gram, gram, gram, gram, unitless, unitless, unitless, unitless, unitless, volt, volt, degrees, mph, mph, percent, inches, watt, degrees Celsius, kPa, percent, percent]
Comparing value for field attribute
Doc Value: [FID Internal feature number., Shape Feature geometry., site_id NRCS Internal Site Number, date Date, time Time (Pacific Standard Time), preci_1 Precipitation Accumulated inches, tobsi_1 Air Temperature Observed degrees Celsius, tmaxh_1 Air Temperature Maximum degrees Celsius, tminh_1 Air Temperature Minimum degrees Celsius, tavgh_1 Air Temperature Average degrees Celsius, prcph_1 Precipitation Increment inches, smsi_1_2l Soil Moisture Percent; Sensor Height -2in percent, smsi_1_4l Soil Moisture Percent; Sensor Height -4in percent, smsi_1_8l Soil Moisture Percent; Sensor Height -8in percent, smsi_1_20l Soil Moisture Percent; Sensor Height -20in percent, smsi_1_40l Soil Moisture Percent; Sensor Height -40in percent, stoi_1_2 Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_1_4 Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_1_8 Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_1_20 Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_1_40 Soil Temperature Observed; Sensor Height -40in degrees Celsius, stoi_2_2 Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_2_4 Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_2_8 Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_2_20 Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_2_40 Soil Temperature Observed; Sensor Height -40in degrees Celsius, sali_1_2 Salinity; Sensor Height -2in gram, sali_1_4 Salinity; Sensor Height -4in gram, sali_1_8 Salinity; Sensor Height -8in gram, sali_1_20 Salinity; Sensor Height -20in gram, sali_1_40 Salinity; Sensor Height -40in gram, rdci_1_2 Real Dielectric Constant; Sensor Height -2in unitless, rdci_1_4 Real Dielectric Constant; Sensor Height -4in unitless, rdci_1_8 Real Dielectric Constant; Sensor Height -8in unitless, rdci_1_20 Real Dielectric Constant; Sensor Height -20in unitless, rdci_1_40 Real Dielectric Constant; Sensor Height -40in unitless, batti_1 Battery Voltage volt, batti_2 Battery Voltage volt, wdirvh_1 Wind Direction Average degrees, wspdxh_1mx Wind Speed Maximum mph, wspdvh1 Wind Speed Average mph, rhumi_1 Relative Humidity; Vaisala percent, presi_1 Barometric Pressure; Sampled 10 minutes inches, sradvh_1 Solar Radiation Average watt, dptph_1 Dew Point Temperature degrees Celsius, pvpvh_1 Vapor Pressure kPa, rhumnh_1 Relative Humidity Minimum percent, rhumxh_1 Relative Humidity Maximum percent]
Solr Value: [FID Internal feature number., Shape Feature geometry., site_id NRCS Internal Site Number, date Date, time Time (Pacific Standard Time), preci_1 Precipitation Accumulated inches, tobsi_1 Air Temperature Observed degrees Celsius, tmaxh_1 Air Temperature Maximum degrees Celsius, tminh_1 Air Temperature Minimum degrees Celsius, tavgh_1 Air Temperature Average degrees Celsius, prcph_1 Precipitation Increment inches, smsi_1_2l Soil Moisture Percent; Sensor Height -2in percent, smsi_1_4l Soil Moisture Percent; Sensor Height -4in percent, smsi_1_8l Soil Moisture Percent; Sensor Height -8in percent, smsi_1_20l Soil Moisture Percent; Sensor Height -20in percent, smsi_1_40l Soil Moisture Percent; Sensor Height -40in percent, stoi_1_2 Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_1_4 Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_1_8 Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_1_20 Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_1_40 Soil Temperature Observed; Sensor Height -40in degrees Celsius, stoi_2_2 Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_2_4 Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_2_8 Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_2_20 Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_2_40 Soil Temperature Observed; Sensor Height -40in degrees Celsius, sali_1_2 Salinity; Sensor Height -2in gram, sali_1_4 Salinity; Sensor Height -4in gram, sali_1_8 Salinity; Sensor Height -8in gram, sali_1_20 Salinity; Sensor Height -20in gram, sali_1_40 Salinity; Sensor Height -40in gram, rdci_1_2 Real Dielectric Constant; Sensor Height -2in unitless, rdci_1_4 Real Dielectric Constant; Sensor Height -4in unitless, rdci_1_8 Real Dielectric Constant; Sensor Height -8in unitless, rdci_1_20 Real Dielectric Constant; Sensor Height -20in unitless, rdci_1_40 Real Dielectric Constant; Sensor Height -40in unitless, batti_1 Battery Voltage volt, batti_2 Battery Voltage volt, wdirvh_1 Wind Direction Average degrees, wspdxh_1mx Wind Speed Maximum mph, wspdvh1 Wind Speed Average mph, rhumi_1 Relative Humidity; Vaisala percent, presi_1 Barometric Pressure; Sampled 10 minutes inches, sradvh_1 Solar Radiation Average watt, dptph_1 Dew Point Temperature degrees Celsius, pvpvh_1 Vapor Pressure kPa, rhumnh_1 Relative Humidity Minimum percent, rhumxh_1 Relative Humidity Maximum percent]
Comparing value for field geohash_1
Doc Value: [9]
Solr Value: [9]
Comparing value for field geohash_2
Doc Value: [9w]
Solr Value: [9w]
Comparing value for field geohash_3
Doc Value: [9wk]
Solr Value: [9wk]
Comparing value for field geohash_4
Doc Value: [9wkt]
Solr Value: [9wkt]
Comparing value for field geohash_5
Doc Value: [9wkt6]
Solr Value: [9wkt6]
Comparing value for field geohash_6
Doc Value: [9wkt6b]
Solr Value: [9wkt6b]
Comparing value for field geohash_7
Doc Value: [9wkt6bb]
Solr Value: [9wkt6bb]
Comparing value for field geohash_8
Doc Value: [9wkt6bb8]
Solr Value: [9wkt6bb8]
Comparing value for field geohash_9
Doc Value: [9wkt6bb8x]
Solr Value: [9wkt6bb8x]
Comparing value for field dataUrl
Doc Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Comparing value for field abstract
Doc Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more.
Solr Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more.
Comparing value for field beginDate
Doc Value: Tue Jul 01 00:00:00 GMT 2014
Solr Value: Tue Jul 01 00:00:00 GMT 2014
Comparing value for field contactOrganization
Doc Value: [Earth Data Analysis Center]
Solr Value: [Earth Data Analysis Center]
Comparing value for field eastBoundCoord
Doc Value: -106.05
Solr Value: -106.05
Comparing value for field westBoundCoord
Doc Value: -106.05
Solr Value: -106.05
Comparing value for field northBoundCoord
Doc Value: 36.083332
Solr Value: 36.083332
Comparing value for field southBoundCoord
Doc Value: 36.083332
Solr Value: 36.083332
Comparing value for field endDate
Doc Value: Fri Aug 01 00:00:00 GMT 2014
Solr Value: Fri Aug 01 00:00:00 GMT 2014
Comparing value for field keywords
Doc Value: [climatologyMeteorologyAtmosphere, precipitation, air temperature, relative humidity, solar radiation, barometric pressure, snow water content, snow depth, soil moisture, soil temperature, EPSCoR Tract 3, EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Solr Value: [climatologyMeteorologyAtmosphere, precipitation, air temperature, relative humidity, solar radiation, barometric pressure, snow water content, snow depth, soil moisture, soil temperature, EPSCoR Tract 3, EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Comparing value for field geoform
Doc Value: vector digital data
Solr Value: vector digital data
Comparing value for field origin
Doc Value: [Water and Climate Center, National Resources Conservation Service]
Solr Value: [Water and Climate Center, National Resources Conservation Service]
Comparing value for field placeKey
Doc Value: [EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Solr Value: [EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Comparing value for field pubDate
Doc Value: Mon Aug 04 00:00:00 GMT 2014
Solr Value: Mon Aug 04 00:00:00 GMT 2014
Comparing value for field purpose
Doc Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more.
Solr Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more.
Comparing value for field title
Doc Value: SCAN Alcalde, NM (July, 2014)
Solr Value: SCAN Alcalde, NM (July, 2014)
Comparing value for field webUrl
Doc Value: [http://nmepscor.org/dataportal, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml]
Solr Value: [http://nmepscor.org/dataportal, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml]
Comparing value for field fileID
Doc Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Comparing value for field text
Doc Value: Water and Climate Center, National Resources Conservation Service 20140804 SCAN Alcalde, NM (July, 2014) vector digital data http://nmepscor.org/dataportalhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shphttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.ziphttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojsonhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.jsonhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csvhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xlshttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.htmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.htmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more. The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more. Funding for this SCAN station was provided by EPSCoR. These data are
made available through New Mexico's Experimental Program to
Stimulate Competitive Research (NM EPSCoR) data portal. The portal provides access
to data generated by and of use to the EPSCoR community including researchers,
educators, and policy leaders, as well as the general public.
http://www.wcc.nrcs.usda.gov/scan/ 20140701 010000 20140801 Ground Condition Complete Unknown -106.05 -106.05 36.0833333333 36.0833333333 ISO 19115 Topic Categories climatologyMeteorologyAtmosphere http://www.wcc.nrcs.usda.gov/scan/ precipitation air temperature relative humidity solar radiation barometric pressure snow water content snow depth soil moisture soil temperature EPSCoR Project EPSCoR Tract 3 Spatial Reference System Identifiers EPSG:4269 EPSG:7019 http://www.wcc.nrcs.usda.gov/scan/ NM Rio Arriba Alcalde None None Tony Tolsdorf National Water and Climate Center Monitoring Branch Leader Mailing address 1201 NE Lloyd Blvd., Suite 802 Portland OR 97232-1274 503-414-3006 tony.tolsdorf@por.usda.gov Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog
9.3.1.3000 Not provided Not provided Create the shapefiles using the provided lat/lon from the NRCS, one per
station using an Arcpy script. Download the CSV data for each station, each
year, each month from the station's Reporting Since date. 20140804 Earth Data Analysis Center Clearinghouse Manager mailing address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 8am to 5pm MT, M-F Rio Arriba County, NM Vector Point 744 0.00000001 0.00000001 Decimal degrees North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 SCAN Soil, Climate, Analysis, Network (SCAN) http://www.wcc.nrcs.usda.gov/scan/ FID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Coordinates defining the features. site_id NRCS Internal Site Number NRCS NRCS Internal Site Number date Date NRCS Date time Time (Pacific Standard Time) NRCS Time (Pacific Standard Time) preci_1 Precipitation Accumulated NRCS Unknown Unknown inches tobsi_1 Air Temperature Observed NRCS Unknown Unknown degrees Celsius tmaxh_1 Air Temperature Maximum NRCS Unknown Unknown degrees Celsius tminh_1 Air Temperature Minimum NRCS Unknown Unknown degrees Celsius tavgh_1 Air Temperature Average NRCS Unknown Unknown degrees Celsius prcph_1 Precipitation Increment NRCS Unknown Unknown inches smsi_1_2l Soil Moisture Percent; Sensor Height -2in NRCS Unknown Unknown percent smsi_1_4l Soil Moisture Percent; Sensor Height -4in NRCS Unknown Unknown percent smsi_1_8l Soil Moisture Percent; Sensor Height -8in NRCS Unknown Unknown percent smsi_1_20l Soil Moisture Percent; Sensor Height -20in NRCS Unknown Unknown percent smsi_1_40l Soil Moisture Percent; Sensor Height -40in NRCS Unknown Unknown percent stoi_1_2 Soil Temperature Observed; Sensor Height -2in NRCS Unknown Unknown degrees Celsius stoi_1_4 Soil Temperature Observed; Sensor Height -4in NRCS Unknown Unknown degrees Celsius stoi_1_8 Soil Temperature Observed; Sensor Height -8in NRCS Unknown Unknown degrees Celsius stoi_1_20 Soil Temperature Observed; Sensor Height -20in NRCS Unknown Unknown degrees Celsius stoi_1_40 Soil Temperature Observed; Sensor Height -40in NRCS Unknown Unknown degrees Celsius stoi_2_2 Soil Temperature Observed; Sensor Height -2in NRCS Unknown Unknown degrees Celsius stoi_2_4 Soil Temperature Observed; Sensor Height -4in NRCS Unknown Unknown degrees Celsius stoi_2_8 Soil Temperature Observed; Sensor Height -8in NRCS Unknown Unknown degrees Celsius stoi_2_20 Soil Temperature Observed; Sensor Height -20in NRCS Unknown Unknown degrees Celsius stoi_2_40 Soil Temperature Observed; Sensor Height -40in NRCS Unknown Unknown degrees Celsius sali_1_2 Salinity; Sensor Height -2in NRCS Unknown Unknown gram sali_1_4 Salinity; Sensor Height -4in NRCS Unknown Unknown gram sali_1_8 Salinity; Sensor Height -8in NRCS Unknown Unknown gram sali_1_20 Salinity; Sensor Height -20in NRCS Unknown Unknown gram sali_1_40 Salinity; Sensor Height -40in NRCS Unknown Unknown gram rdci_1_2 Real Dielectric Constant; Sensor Height -2in NRCS Unknown Unknown unitless rdci_1_4 Real Dielectric Constant; Sensor Height -4in NRCS Unknown Unknown unitless rdci_1_8 Real Dielectric Constant; Sensor Height -8in NRCS Unknown Unknown unitless rdci_1_20 Real Dielectric Constant; Sensor Height -20in NRCS Unknown Unknown unitless rdci_1_40 Real Dielectric Constant; Sensor Height -40in NRCS Unknown Unknown unitless batti_1 Battery Voltage NRCS Unknown Unknown volt batti_2 Battery Voltage NRCS Unknown Unknown volt wdirvh_1 Wind Direction Average NRCS Unknown Unknown degrees wspdxh_1mx Wind Speed Maximum NRCS Unknown Unknown mph wspdvh1 Wind Speed Average NRCS Unknown Unknown mph rhumi_1 Relative Humidity; Vaisala NRCS Unknown Unknown percent presi_1 Barometric Pressure; Sampled 10 minutes NRCS Unknown Unknown inches sradvh_1 Solar Radiation Average NRCS Unknown Unknown watt dptph_1 Dew Point Temperature NRCS Unknown Unknown degrees Celsius pvpvh_1 Vapor Pressure NRCS Unknown Unknown kPa rhumnh_1 Relative Humidity Minimum NRCS Unknown Unknown percent rhumxh_1 Relative Humidity Maximum NRCS Unknown Unknown percent Earth Data Analysis Center Clearinghouse Manager mailing and physical address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 0800 - 1700 MT, M-F -7 hours GMT Downloadable Data The material on this site is made available as a public service. Maps and data are to be used for reference purposes only and the Earth Data Analysis Center (EDAC), New Mexico EPSCoR (NM EPSCoR), Energize New Mexico and The University of New Mexico are not responsible for any inaccuracies herein contained. No responsibility is assumed for damages or other liabilities due to the accuracy, availability, use or misuse of the information herein provided. Unless otherwise indicated in the documentation (metadata) for individual data sets, information on this site is public domain and may be copied without permission; citation of the source is appreciated. ZIP 1 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu ESRI Shapefile (shp) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu GML 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu KML 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu GeoJSON 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu JSON 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Comma Separated Values (csv) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu MS Excel format (xls) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Adequate computer capability is the only technical prerequisite for viewing data in digital form. 20150423 Earth Data Analysis Center Clearinghouse Manager mailing and physical address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 0800 - 1700 MT, M-F -7 hours GMT FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time 68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: Water and Climate Center, National Resources Conservation Service 20140804 SCAN Alcalde, NM (July, 2014) vector digital data http://nmepscor.org/dataportalhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shphttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.ziphttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojsonhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.jsonhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csvhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xlshttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.htmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.htmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more. The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more. Funding for this SCAN station was provided by EPSCoR. These data are
made available through New Mexico's Experimental Program to
Stimulate Competitive Research (NM EPSCoR) data portal. The portal provides access
to data generated by and of use to the EPSCoR community including researchers,
educators, and policy leaders, as well as the general public.
http://www.wcc.nrcs.usda.gov/scan/ 20140701 010000 20140801 Ground Condition Complete Unknown -106.05 -106.05 36.0833333333 36.0833333333 ISO 19115 Topic Categories climatologyMeteorologyAtmosphere http://www.wcc.nrcs.usda.gov/scan/ precipitation air temperature relative humidity solar radiation barometric pressure snow water content snow depth soil moisture soil temperature EPSCoR Project EPSCoR Tract 3 Spatial Reference System Identifiers EPSG:4269 EPSG:7019 http://www.wcc.nrcs.usda.gov/scan/ NM Rio Arriba Alcalde None None Tony Tolsdorf National Water and Climate Center Monitoring Branch Leader Mailing address 1201 NE Lloyd Blvd., Suite 802 Portland OR 97232-1274 503-414-3006 tony.tolsdorf@por.usda.gov Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog
9.3.1.3000 Not provided Not provided Create the shapefiles using the provided lat/lon from the NRCS, one per
station using an Arcpy script. Download the CSV data for each station, each
year, each month from the station's Reporting Since date. 20140804 Earth Data Analysis Center Clearinghouse Manager mailing address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 8am to 5pm MT, M-F Rio Arriba County, NM Vector Point 744 0.00000001 0.00000001 Decimal degrees North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 SCAN Soil, Climate, Analysis, Network (SCAN) http://www.wcc.nrcs.usda.gov/scan/ FID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Coordinates defining the features. site_id NRCS Internal Site Number NRCS NRCS Internal Site Number date Date NRCS Date time Time (Pacific Standard Time) NRCS Time (Pacific Standard Time) preci_1 Precipitation Accumulated NRCS Unknown Unknown inches tobsi_1 Air Temperature Observed NRCS Unknown Unknown degrees Celsius tmaxh_1 Air Temperature Maximum NRCS Unknown Unknown degrees Celsius tminh_1 Air Temperature Minimum NRCS Unknown Unknown degrees Celsius tavgh_1 Air Temperature Average NRCS Unknown Unknown degrees Celsius prcph_1 Precipitation Increment NRCS Unknown Unknown inches smsi_1_2l Soil Moisture Percent; Sensor Height -2in NRCS Unknown Unknown percent smsi_1_4l Soil Moisture Percent; Sensor Height -4in NRCS Unknown Unknown percent smsi_1_8l Soil Moisture Percent; Sensor Height -8in NRCS Unknown Unknown percent smsi_1_20l Soil Moisture Percent; Sensor Height -20in NRCS Unknown Unknown percent smsi_1_40l Soil Moisture Percent; Sensor Height -40in NRCS Unknown Unknown percent stoi_1_2 Soil Temperature Observed; Sensor Height -2in NRCS Unknown Unknown degrees Celsius stoi_1_4 Soil Temperature Observed; Sensor Height -4in NRCS Unknown Unknown degrees Celsius stoi_1_8 Soil Temperature Observed; Sensor Height -8in NRCS Unknown Unknown degrees Celsius stoi_1_20 Soil Temperature Observed; Sensor Height -20in NRCS Unknown Unknown degrees Celsius stoi_1_40 Soil Temperature Observed; Sensor Height -40in NRCS Unknown Unknown degrees Celsius stoi_2_2 Soil Temperature Observed; Sensor Height -2in NRCS Unknown Unknown degrees Celsius stoi_2_4 Soil Temperature Observed; Sensor Height -4in NRCS Unknown Unknown degrees Celsius stoi_2_8 Soil Temperature Observed; Sensor Height -8in NRCS Unknown Unknown degrees Celsius stoi_2_20 Soil Temperature Observed; Sensor Height -20in NRCS Unknown Unknown degrees Celsius stoi_2_40 Soil Temperature Observed; Sensor Height -40in NRCS Unknown Unknown degrees Celsius sali_1_2 Salinity; Sensor Height -2in NRCS Unknown Unknown gram sali_1_4 Salinity; Sensor Height -4in NRCS Unknown Unknown gram sali_1_8 Salinity; Sensor Height -8in NRCS Unknown Unknown gram sali_1_20 Salinity; Sensor Height -20in NRCS Unknown Unknown gram sali_1_40 Salinity; Sensor Height -40in NRCS Unknown Unknown gram rdci_1_2 Real Dielectric Constant; Sensor Height -2in NRCS Unknown Unknown unitless rdci_1_4 Real Dielectric Constant; Sensor Height -4in NRCS Unknown Unknown unitless rdci_1_8 Real Dielectric Constant; Sensor Height -8in NRCS Unknown Unknown unitless rdci_1_20 Real Dielectric Constant; Sensor Height -20in NRCS Unknown Unknown unitless rdci_1_40 Real Dielectric Constant; Sensor Height -40in NRCS Unknown Unknown unitless batti_1 Battery Voltage NRCS Unknown Unknown volt batti_2 Battery Voltage NRCS Unknown Unknown volt wdirvh_1 Wind Direction Average NRCS Unknown Unknown degrees wspdxh_1mx Wind Speed Maximum NRCS Unknown Unknown mph wspdvh1 Wind Speed Average NRCS Unknown Unknown mph rhumi_1 Relative Humidity; Vaisala NRCS Unknown Unknown percent presi_1 Barometric Pressure; Sampled 10 minutes NRCS Unknown Unknown inches sradvh_1 Solar Radiation Average NRCS Unknown Unknown watt dptph_1 Dew Point Temperature NRCS Unknown Unknown degrees Celsius pvpvh_1 Vapor Pressure NRCS Unknown Unknown kPa rhumnh_1 Relative Humidity Minimum NRCS Unknown Unknown percent rhumxh_1 Relative Humidity Maximum NRCS Unknown Unknown percent Earth Data Analysis Center Clearinghouse Manager mailing and physical address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 0800 - 1700 MT, M-F -7 hours GMT Downloadable Data The material on this site is made available as a public service. Maps and data are to be used for reference purposes only and the Earth Data Analysis Center (EDAC), New Mexico EPSCoR (NM EPSCoR), Energize New Mexico and The University of New Mexico are not responsible for any inaccuracies herein contained. No responsibility is assumed for damages or other liabilities due to the accuracy, availability, use or misuse of the information herein provided. Unless otherwise indicated in the documentation (metadata) for individual data sets, information on this site is public domain and may be copied without permission; citation of the source is appreciated. ZIP 1 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu ESRI Shapefile (shp) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu GML 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu KML 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu GeoJSON 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu JSON 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Comma Separated Values (csv) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu MS Excel format (xls) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Adequate computer capability is the only technical prerequisite for viewing data in digital form. 20150423 Earth Data Analysis Center Clearinghouse Manager mailing and physical address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 0800 - 1700 MT, M-F -7 hours GMT FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time 68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Comparing value for field presentationCat
Doc Value: vector digital data
Solr Value: vector digital data
Comparing value for field author
Doc Value: Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service
Comparing value for field authorSurName
Doc Value: Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service
Comparing value for field authorSurNameSort
Doc Value: Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service
Comparing value for field investigator
Doc Value: [Water and Climate Center, National Resources Conservation Service]
Solr Value: [Water and Climate Center, National Resources Conservation Service]
Comparing value for field attributeName
Doc Value: [FID, Shape, site_id, date, time, preci_1, tobsi_1, tmaxh_1, tminh_1, tavgh_1, prcph_1, smsi_1_2l, smsi_1_4l, smsi_1_8l, smsi_1_20l, smsi_1_40l, stoi_1_2, stoi_1_4, stoi_1_8, stoi_1_20, stoi_1_40, stoi_2_2, stoi_2_4, stoi_2_8, stoi_2_20, stoi_2_40, sali_1_2, sali_1_4, sali_1_8, sali_1_20, sali_1_40, rdci_1_2, rdci_1_4, rdci_1_8, rdci_1_20, rdci_1_40, batti_1, batti_2, wdirvh_1, wspdxh_1mx, wspdvh1, rhumi_1, presi_1, sradvh_1, dptph_1, pvpvh_1, rhumnh_1, rhumxh_1]
Solr Value: [FID, Shape, site_id, date, time, preci_1, tobsi_1, tmaxh_1, tminh_1, tavgh_1, prcph_1, smsi_1_2l, smsi_1_4l, smsi_1_8l, smsi_1_20l, smsi_1_40l, stoi_1_2, stoi_1_4, stoi_1_8, stoi_1_20, stoi_1_40, stoi_2_2, stoi_2_4, stoi_2_8, stoi_2_20, stoi_2_40, sali_1_2, sali_1_4, sali_1_8, sali_1_20, sali_1_40, rdci_1_2, rdci_1_4, rdci_1_8, rdci_1_20, rdci_1_40, batti_1, batti_2, wdirvh_1, wspdxh_1mx, wspdvh1, rhumi_1, presi_1, sradvh_1, dptph_1, pvpvh_1, rhumnh_1, rhumxh_1]
Comparing value for field attributeDescription
Doc Value: [Internal feature number., Feature geometry., NRCS Internal Site Number, Date, Time (Pacific Standard Time), Precipitation Accumulated, Air Temperature Observed, Air Temperature Maximum, Air Temperature Minimum, Air Temperature Average, Precipitation Increment, Soil Moisture Percent; Sensor Height -2in, Soil Moisture Percent; Sensor Height -4in, Soil Moisture Percent; Sensor Height -8in, Soil Moisture Percent; Sensor Height -20in, Soil Moisture Percent; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Salinity; Sensor Height -2in, Salinity; Sensor Height -4in, Salinity; Sensor Height -8in, Salinity; Sensor Height -20in, Salinity; Sensor Height -40in, Real Dielectric Constant; Sensor Height -2in, Real Dielectric Constant; Sensor Height -4in, Real Dielectric Constant; Sensor Height -8in, Real Dielectric Constant; Sensor Height -20in, Real Dielectric Constant; Sensor Height -40in, Battery Voltage, Battery Voltage, Wind Direction Average, Wind Speed Maximum, Wind Speed Average, Relative Humidity; Vaisala, Barometric Pressure; Sampled 10 minutes, Solar Radiation Average, Dew Point Temperature, Vapor Pressure, Relative Humidity Minimum, Relative Humidity Maximum]
Solr Value: [Internal feature number., Feature geometry., NRCS Internal Site Number, Date, Time (Pacific Standard Time), Precipitation Accumulated, Air Temperature Observed, Air Temperature Maximum, Air Temperature Minimum, Air Temperature Average, Precipitation Increment, Soil Moisture Percent; Sensor Height -2in, Soil Moisture Percent; Sensor Height -4in, Soil Moisture Percent; Sensor Height -8in, Soil Moisture Percent; Sensor Height -20in, Soil Moisture Percent; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Salinity; Sensor Height -2in, Salinity; Sensor Height -4in, Salinity; Sensor Height -8in, Salinity; Sensor Height -20in, Salinity; Sensor Height -40in, Real Dielectric Constant; Sensor Height -2in, Real Dielectric Constant; Sensor Height -4in, Real Dielectric Constant; Sensor Height -8in, Real Dielectric Constant; Sensor Height -20in, Real Dielectric Constant; Sensor Height -40in, Battery Voltage, Battery Voltage, Wind Direction Average, Wind Speed Maximum, Wind Speed Average, Relative Humidity; Vaisala, Barometric Pressure; Sampled 10 minutes, Solar Radiation Average, Dew Point Temperature, Vapor Pressure, Relative Humidity Minimum, Relative Humidity Maximum]
Comparing value for field attributeUnit
Doc Value: [inches, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, inches, percent, percent, percent, percent, percent, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, gram, gram, gram, gram, gram, unitless, unitless, unitless, unitless, unitless, volt, volt, degrees, mph, mph, percent, inches, watt, degrees Celsius, kPa, percent, percent]
Solr Value: [inches, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, inches, percent, percent, percent, percent, percent, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, gram, gram, gram, gram, gram, unitless, unitless, unitless, unitless, unitless, volt, volt, degrees, mph, mph, percent, inches, watt, degrees Celsius, kPa, percent, percent]
Comparing value for field attribute
Doc Value: [FID Internal feature number., Shape Feature geometry., site_id NRCS Internal Site Number, date Date, time Time (Pacific Standard Time), preci_1 Precipitation Accumulated inches, tobsi_1 Air Temperature Observed degrees Celsius, tmaxh_1 Air Temperature Maximum degrees Celsius, tminh_1 Air Temperature Minimum degrees Celsius, tavgh_1 Air Temperature Average degrees Celsius, prcph_1 Precipitation Increment inches, smsi_1_2l Soil Moisture Percent; Sensor Height -2in percent, smsi_1_4l Soil Moisture Percent; Sensor Height -4in percent, smsi_1_8l Soil Moisture Percent; Sensor Height -8in percent, smsi_1_20l Soil Moisture Percent; Sensor Height -20in percent, smsi_1_40l Soil Moisture Percent; Sensor Height -40in percent, stoi_1_2 Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_1_4 Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_1_8 Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_1_20 Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_1_40 Soil Temperature Observed; Sensor Height -40in degrees Celsius, stoi_2_2 Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_2_4 Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_2_8 Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_2_20 Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_2_40 Soil Temperature Observed; Sensor Height -40in degrees Celsius, sali_1_2 Salinity; Sensor Height -2in gram, sali_1_4 Salinity; Sensor Height -4in gram, sali_1_8 Salinity; Sensor Height -8in gram, sali_1_20 Salinity; Sensor Height -20in gram, sali_1_40 Salinity; Sensor Height -40in gram, rdci_1_2 Real Dielectric Constant; Sensor Height -2in unitless, rdci_1_4 Real Dielectric Constant; Sensor Height -4in unitless, rdci_1_8 Real Dielectric Constant; Sensor Height -8in unitless, rdci_1_20 Real Dielectric Constant; Sensor Height -20in unitless, rdci_1_40 Real Dielectric Constant; Sensor Height -40in unitless, batti_1 Battery Voltage volt, batti_2 Battery Voltage volt, wdirvh_1 Wind Direction Average degrees, wspdxh_1mx Wind Speed Maximum mph, wspdvh1 Wind Speed Average mph, rhumi_1 Relative Humidity; Vaisala percent, presi_1 Barometric Pressure; Sampled 10 minutes inches, sradvh_1 Solar Radiation Average watt, dptph_1 Dew Point Temperature degrees Celsius, pvpvh_1 Vapor Pressure kPa, rhumnh_1 Relative Humidity Minimum percent, rhumxh_1 Relative Humidity Maximum percent]
Solr Value: [FID Internal feature number., Shape Feature geometry., site_id NRCS Internal Site Number, date Date, time Time (Pacific Standard Time), preci_1 Precipitation Accumulated inches, tobsi_1 Air Temperature Observed degrees Celsius, tmaxh_1 Air Temperature Maximum degrees Celsius, tminh_1 Air Temperature Minimum degrees Celsius, tavgh_1 Air Temperature Average degrees Celsius, prcph_1 Precipitation Increment inches, smsi_1_2l Soil Moisture Percent; Sensor Height -2in percent, smsi_1_4l Soil Moisture Percent; Sensor Height -4in percent, smsi_1_8l Soil Moisture Percent; Sensor Height -8in percent, smsi_1_20l Soil Moisture Percent; Sensor Height -20in percent, smsi_1_40l Soil Moisture Percent; Sensor Height -40in percent, stoi_1_2 Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_1_4 Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_1_8 Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_1_20 Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_1_40 Soil Temperature Observed; Sensor Height -40in degrees Celsius, stoi_2_2 Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_2_4 Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_2_8 Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_2_20 Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_2_40 Soil Temperature Observed; Sensor Height -40in degrees Celsius, sali_1_2 Salinity; Sensor Height -2in gram, sali_1_4 Salinity; Sensor Height -4in gram, sali_1_8 Salinity; Sensor Height -8in gram, sali_1_20 Salinity; Sensor Height -20in gram, sali_1_40 Salinity; Sensor Height -40in gram, rdci_1_2 Real Dielectric Constant; Sensor Height -2in unitless, rdci_1_4 Real Dielectric Constant; Sensor Height -4in unitless, rdci_1_8 Real Dielectric Constant; Sensor Height -8in unitless, rdci_1_20 Real Dielectric Constant; Sensor Height -20in unitless, rdci_1_40 Real Dielectric Constant; Sensor Height -40in unitless, batti_1 Battery Voltage volt, batti_2 Battery Voltage volt, wdirvh_1 Wind Direction Average degrees, wspdxh_1mx Wind Speed Maximum mph, wspdvh1 Wind Speed Average mph, rhumi_1 Relative Humidity; Vaisala percent, presi_1 Barometric Pressure; Sampled 10 minutes inches, sradvh_1 Solar Radiation Average watt, dptph_1 Dew Point Temperature degrees Celsius, pvpvh_1 Vapor Pressure kPa, rhumnh_1 Relative Humidity Minimum percent, rhumxh_1 Relative Humidity Maximum percent]
Comparing value for field geohash_1
Doc Value: [9]
Solr Value: [9]
Comparing value for field geohash_2
Doc Value: [9w]
Solr Value: [9w]
Comparing value for field geohash_3
Doc Value: [9wk]
Solr Value: [9wk]
Comparing value for field geohash_4
Doc Value: [9wkt]
Solr Value: [9wkt]
Comparing value for field geohash_5
Doc Value: [9wkt6]
Solr Value: [9wkt6]
Comparing value for field geohash_6
Doc Value: [9wkt6b]
Solr Value: [9wkt6b]
Comparing value for field geohash_7
Doc Value: [9wkt6bb]
Solr Value: [9wkt6bb]
Comparing value for field geohash_8
Doc Value: [9wkt6bb8]
Solr Value: [9wkt6bb8]
Comparing value for field geohash_9
Doc Value: [9wkt6bb8x]
Solr Value: [9wkt6bb8x]
Comparing value for field dataUrl
Doc Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Comparing value for field abstract
Doc Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more.
Solr Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more.
Comparing value for field beginDate
Doc Value: Tue Jul 01 00:00:00 GMT 2014
Solr Value: Tue Jul 01 00:00:00 GMT 2014
Comparing value for field contactOrganization
Doc Value: [Earth Data Analysis Center]
Solr Value: [Earth Data Analysis Center]
Comparing value for field eastBoundCoord
Doc Value: -106.05
Solr Value: -106.05
Comparing value for field westBoundCoord
Doc Value: -106.05
Solr Value: -106.05
Comparing value for field northBoundCoord
Doc Value: 36.083332
Solr Value: 36.083332
Comparing value for field southBoundCoord
Doc Value: 36.083332
Solr Value: 36.083332
Comparing value for field endDate
Doc Value: Fri Aug 01 00:00:00 GMT 2014
Solr Value: Fri Aug 01 00:00:00 GMT 2014
Comparing value for field keywords
Doc Value: [climatologyMeteorologyAtmosphere, precipitation, air temperature, relative humidity, solar radiation, barometric pressure, snow water content, snow depth, soil moisture, soil temperature, EPSCoR Tract 3, EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Solr Value: [climatologyMeteorologyAtmosphere, precipitation, air temperature, relative humidity, solar radiation, barometric pressure, snow water content, snow depth, soil moisture, soil temperature, EPSCoR Tract 3, EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Comparing value for field geoform
Doc Value: vector digital data
Solr Value: vector digital data
Comparing value for field origin
Doc Value: [Water and Climate Center, National Resources Conservation Service]
Solr Value: [Water and Climate Center, National Resources Conservation Service]
Comparing value for field placeKey
Doc Value: [EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Solr Value: [EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Comparing value for field pubDate
Doc Value: Mon Aug 04 00:00:00 GMT 2014
Solr Value: Mon Aug 04 00:00:00 GMT 2014
Comparing value for field purpose
Doc Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more.
Solr Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more.
Comparing value for field title
Doc Value: SCAN Alcalde, NM (July, 2014)
Solr Value: SCAN Alcalde, NM (July, 2014)
Comparing value for field webUrl
Doc Value: [http://nmepscor.org/dataportal, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml]
Solr Value: [http://nmepscor.org/dataportal, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml]
Comparing value for field fileID
Doc Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Comparing value for field text
Doc Value: Water and Climate Center, National Resources Conservation Service 20140804 SCAN Alcalde, NM (July, 2014) vector digital data http://nmepscor.org/dataportalhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shphttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.ziphttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojsonhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.jsonhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csvhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xlshttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.htmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.htmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more. The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more. Funding for this SCAN station was provided by EPSCoR. These data are
made available through New Mexico's Experimental Program to
Stimulate Competitive Research (NM EPSCoR) data portal. The portal provides access
to data generated by and of use to the EPSCoR community including researchers,
educators, and policy leaders, as well as the general public.
http://www.wcc.nrcs.usda.gov/scan/ 20140701 010000 20140801 Ground Condition Complete Unknown -106.05 -106.05 36.0833333333 36.0833333333 ISO 19115 Topic Categories climatologyMeteorologyAtmosphere http://www.wcc.nrcs.usda.gov/scan/ precipitation air temperature relative humidity solar radiation barometric pressure snow water content snow depth soil moisture soil temperature EPSCoR Project EPSCoR Tract 3 Spatial Reference System Identifiers EPSG:4269 EPSG:7019 http://www.wcc.nrcs.usda.gov/scan/ NM Rio Arriba Alcalde None None Tony Tolsdorf National Water and Climate Center Monitoring Branch Leader Mailing address 1201 NE Lloyd Blvd., Suite 802 Portland OR 97232-1274 503-414-3006 tony.tolsdorf@por.usda.gov Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog
9.3.1.3000 Not provided Not provided Create the shapefiles using the provided lat/lon from the NRCS, one per
station using an Arcpy script. Download the CSV data for each station, each
year, each month from the station's Reporting Since date. 20140804 Earth Data Analysis Center Clearinghouse Manager mailing address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 8am to 5pm MT, M-F Rio Arriba County, NM Vector Point 744 0.00000001 0.00000001 Decimal degrees North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 SCAN Soil, Climate, Analysis, Network (SCAN) http://www.wcc.nrcs.usda.gov/scan/ FID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Coordinates defining the features. site_id NRCS Internal Site Number NRCS NRCS Internal Site Number date Date NRCS Date time Time (Pacific Standard Time) NRCS Time (Pacific Standard Time) preci_1 Precipitation Accumulated NRCS Unknown Unknown inches tobsi_1 Air Temperature Observed NRCS Unknown Unknown degrees Celsius tmaxh_1 Air Temperature Maximum NRCS Unknown Unknown degrees Celsius tminh_1 Air Temperature Minimum NRCS Unknown Unknown degrees Celsius tavgh_1 Air Temperature Average NRCS Unknown Unknown degrees Celsius prcph_1 Precipitation Increment NRCS Unknown Unknown inches smsi_1_2l Soil Moisture Percent; Sensor Height -2in NRCS Unknown Unknown percent smsi_1_4l Soil Moisture Percent; Sensor Height -4in NRCS Unknown Unknown percent smsi_1_8l Soil Moisture Percent; Sensor Height -8in NRCS Unknown Unknown percent smsi_1_20l Soil Moisture Percent; Sensor Height -20in NRCS Unknown Unknown percent smsi_1_40l Soil Moisture Percent; Sensor Height -40in NRCS Unknown Unknown percent stoi_1_2 Soil Temperature Observed; Sensor Height -2in NRCS Unknown Unknown degrees Celsius stoi_1_4 Soil Temperature Observed; Sensor Height -4in NRCS Unknown Unknown degrees Celsius stoi_1_8 Soil Temperature Observed; Sensor Height -8in NRCS Unknown Unknown degrees Celsius stoi_1_20 Soil Temperature Observed; Sensor Height -20in NRCS Unknown Unknown degrees Celsius stoi_1_40 Soil Temperature Observed; Sensor Height -40in NRCS Unknown Unknown degrees Celsius stoi_2_2 Soil Temperature Observed; Sensor Height -2in NRCS Unknown Unknown degrees Celsius stoi_2_4 Soil Temperature Observed; Sensor Height -4in NRCS Unknown Unknown degrees Celsius stoi_2_8 Soil Temperature Observed; Sensor Height -8in NRCS Unknown Unknown degrees Celsius stoi_2_20 Soil Temperature Observed; Sensor Height -20in NRCS Unknown Unknown degrees Celsius stoi_2_40 Soil Temperature Observed; Sensor Height -40in NRCS Unknown Unknown degrees Celsius sali_1_2 Salinity; Sensor Height -2in NRCS Unknown Unknown gram sali_1_4 Salinity; Sensor Height -4in NRCS Unknown Unknown gram sali_1_8 Salinity; Sensor Height -8in NRCS Unknown Unknown gram sali_1_20 Salinity; Sensor Height -20in NRCS Unknown Unknown gram sali_1_40 Salinity; Sensor Height -40in NRCS Unknown Unknown gram rdci_1_2 Real Dielectric Constant; Sensor Height -2in NRCS Unknown Unknown unitless rdci_1_4 Real Dielectric Constant; Sensor Height -4in NRCS Unknown Unknown unitless rdci_1_8 Real Dielectric Constant; Sensor Height -8in NRCS Unknown Unknown unitless rdci_1_20 Real Dielectric Constant; Sensor Height -20in NRCS Unknown Unknown unitless rdci_1_40 Real Dielectric Constant; Sensor Height -40in NRCS Unknown Unknown unitless batti_1 Battery Voltage NRCS Unknown Unknown volt batti_2 Battery Voltage NRCS Unknown Unknown volt wdirvh_1 Wind Direction Average NRCS Unknown Unknown degrees wspdxh_1mx Wind Speed Maximum NRCS Unknown Unknown mph wspdvh1 Wind Speed Average NRCS Unknown Unknown mph rhumi_1 Relative Humidity; Vaisala NRCS Unknown Unknown percent presi_1 Barometric Pressure; Sampled 10 minutes NRCS Unknown Unknown inches sradvh_1 Solar Radiation Average NRCS Unknown Unknown watt dptph_1 Dew Point Temperature NRCS Unknown Unknown degrees Celsius pvpvh_1 Vapor Pressure NRCS Unknown Unknown kPa rhumnh_1 Relative Humidity Minimum NRCS Unknown Unknown percent rhumxh_1 Relative Humidity Maximum NRCS Unknown Unknown percent Earth Data Analysis Center Clearinghouse Manager mailing and physical address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 0800 - 1700 MT, M-F -7 hours GMT Downloadable Data The material on this site is made available as a public service. Maps and data are to be used for reference purposes only and the Earth Data Analysis Center (EDAC), New Mexico EPSCoR (NM EPSCoR), Energize New Mexico and The University of New Mexico are not responsible for any inaccuracies herein contained. No responsibility is assumed for damages or other liabilities due to the accuracy, availability, use or misuse of the information herein provided. Unless otherwise indicated in the documentation (metadata) for individual data sets, information on this site is public domain and may be copied without permission; citation of the source is appreciated. ZIP 1 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu ESRI Shapefile (shp) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu GML 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu KML 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu GeoJSON 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu JSON 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Comma Separated Values (csv) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu MS Excel format (xls) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Adequate computer capability is the only technical prerequisite for viewing data in digital form. 20150423 Earth Data Analysis Center Clearinghouse Manager mailing and physical address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 0800 - 1700 MT, M-F -7 hours GMT FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time 68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: Water and Climate Center, National Resources Conservation Service 20140804 SCAN Alcalde, NM (July, 2014) vector digital data http://nmepscor.org/dataportalhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shphttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.ziphttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojsonhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.jsonhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csvhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xlshttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.htmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.htmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more. The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more. Funding for this SCAN station was provided by EPSCoR. These data are
made available through New Mexico's Experimental Program to
Stimulate Competitive Research (NM EPSCoR) data portal. The portal provides access
to data generated by and of use to the EPSCoR community including researchers,
educators, and policy leaders, as well as the general public.
http://www.wcc.nrcs.usda.gov/scan/ 20140701 010000 20140801 Ground Condition Complete Unknown -106.05 -106.05 36.0833333333 36.0833333333 ISO 19115 Topic Categories climatologyMeteorologyAtmosphere http://www.wcc.nrcs.usda.gov/scan/ precipitation air temperature relative humidity solar radiation barometric pressure snow water content snow depth soil moisture soil temperature EPSCoR Project EPSCoR Tract 3 Spatial Reference System Identifiers EPSG:4269 EPSG:7019 http://www.wcc.nrcs.usda.gov/scan/ NM Rio Arriba Alcalde None None Tony Tolsdorf National Water and Climate Center Monitoring Branch Leader Mailing address 1201 NE Lloyd Blvd., Suite 802 Portland OR 97232-1274 503-414-3006 tony.tolsdorf@por.usda.gov Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog
9.3.1.3000 Not provided Not provided Create the shapefiles using the provided lat/lon from the NRCS, one per
station using an Arcpy script. Download the CSV data for each station, each
year, each month from the station's Reporting Since date. 20140804 Earth Data Analysis Center Clearinghouse Manager mailing address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 8am to 5pm MT, M-F Rio Arriba County, NM Vector Point 744 0.00000001 0.00000001 Decimal degrees North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 SCAN Soil, Climate, Analysis, Network (SCAN) http://www.wcc.nrcs.usda.gov/scan/ FID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Coordinates defining the features. site_id NRCS Internal Site Number NRCS NRCS Internal Site Number date Date NRCS Date time Time (Pacific Standard Time) NRCS Time (Pacific Standard Time) preci_1 Precipitation Accumulated NRCS Unknown Unknown inches tobsi_1 Air Temperature Observed NRCS Unknown Unknown degrees Celsius tmaxh_1 Air Temperature Maximum NRCS Unknown Unknown degrees Celsius tminh_1 Air Temperature Minimum NRCS Unknown Unknown degrees Celsius tavgh_1 Air Temperature Average NRCS Unknown Unknown degrees Celsius prcph_1 Precipitation Increment NRCS Unknown Unknown inches smsi_1_2l Soil Moisture Percent; Sensor Height -2in NRCS Unknown Unknown percent smsi_1_4l Soil Moisture Percent; Sensor Height -4in NRCS Unknown Unknown percent smsi_1_8l Soil Moisture Percent; Sensor Height -8in NRCS Unknown Unknown percent smsi_1_20l Soil Moisture Percent; Sensor Height -20in NRCS Unknown Unknown percent smsi_1_40l Soil Moisture Percent; Sensor Height -40in NRCS Unknown Unknown percent stoi_1_2 Soil Temperature Observed; Sensor Height -2in NRCS Unknown Unknown degrees Celsius stoi_1_4 Soil Temperature Observed; Sensor Height -4in NRCS Unknown Unknown degrees Celsius stoi_1_8 Soil Temperature Observed; Sensor Height -8in NRCS Unknown Unknown degrees Celsius stoi_1_20 Soil Temperature Observed; Sensor Height -20in NRCS Unknown Unknown degrees Celsius stoi_1_40 Soil Temperature Observed; Sensor Height -40in NRCS Unknown Unknown degrees Celsius stoi_2_2 Soil Temperature Observed; Sensor Height -2in NRCS Unknown Unknown degrees Celsius stoi_2_4 Soil Temperature Observed; Sensor Height -4in NRCS Unknown Unknown degrees Celsius stoi_2_8 Soil Temperature Observed; Sensor Height -8in NRCS Unknown Unknown degrees Celsius stoi_2_20 Soil Temperature Observed; Sensor Height -20in NRCS Unknown Unknown degrees Celsius stoi_2_40 Soil Temperature Observed; Sensor Height -40in NRCS Unknown Unknown degrees Celsius sali_1_2 Salinity; Sensor Height -2in NRCS Unknown Unknown gram sali_1_4 Salinity; Sensor Height -4in NRCS Unknown Unknown gram sali_1_8 Salinity; Sensor Height -8in NRCS Unknown Unknown gram sali_1_20 Salinity; Sensor Height -20in NRCS Unknown Unknown gram sali_1_40 Salinity; Sensor Height -40in NRCS Unknown Unknown gram rdci_1_2 Real Dielectric Constant; Sensor Height -2in NRCS Unknown Unknown unitless rdci_1_4 Real Dielectric Constant; Sensor Height -4in NRCS Unknown Unknown unitless rdci_1_8 Real Dielectric Constant; Sensor Height -8in NRCS Unknown Unknown unitless rdci_1_20 Real Dielectric Constant; Sensor Height -20in NRCS Unknown Unknown unitless rdci_1_40 Real Dielectric Constant; Sensor Height -40in NRCS Unknown Unknown unitless batti_1 Battery Voltage NRCS Unknown Unknown volt batti_2 Battery Voltage NRCS Unknown Unknown volt wdirvh_1 Wind Direction Average NRCS Unknown Unknown degrees wspdxh_1mx Wind Speed Maximum NRCS Unknown Unknown mph wspdvh1 Wind Speed Average NRCS Unknown Unknown mph rhumi_1 Relative Humidity; Vaisala NRCS Unknown Unknown percent presi_1 Barometric Pressure; Sampled 10 minutes NRCS Unknown Unknown inches sradvh_1 Solar Radiation Average NRCS Unknown Unknown watt dptph_1 Dew Point Temperature NRCS Unknown Unknown degrees Celsius pvpvh_1 Vapor Pressure NRCS Unknown Unknown kPa rhumnh_1 Relative Humidity Minimum NRCS Unknown Unknown percent rhumxh_1 Relative Humidity Maximum NRCS Unknown Unknown percent Earth Data Analysis Center Clearinghouse Manager mailing and physical address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 0800 - 1700 MT, M-F -7 hours GMT Downloadable Data The material on this site is made available as a public service. Maps and data are to be used for reference purposes only and the Earth Data Analysis Center (EDAC), New Mexico EPSCoR (NM EPSCoR), Energize New Mexico and The University of New Mexico are not responsible for any inaccuracies herein contained. No responsibility is assumed for damages or other liabilities due to the accuracy, availability, use or misuse of the information herein provided. Unless otherwise indicated in the documentation (metadata) for individual data sets, information on this site is public domain and may be copied without permission; citation of the source is appreciated. ZIP 1 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu ESRI Shapefile (shp) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu GML 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu KML 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu GeoJSON 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu JSON 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Comma Separated Values (csv) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu MS Excel format (xls) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Adequate computer capability is the only technical prerequisite for viewing data in digital form. 20150423 Earth Data Analysis Center Clearinghouse Manager mailing and physical address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 0800 - 1700 MT, M-F -7 hours GMT FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time 68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Comparing value for field presentationCat
Doc Value: vector digital data
Solr Value: vector digital data
Comparing value for field author
Doc Value: Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service
Comparing value for field authorSurName
Doc Value: Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service
Comparing value for field authorSurNameSort
Doc Value: Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service
Comparing value for field investigator
Doc Value: [Water and Climate Center, National Resources Conservation Service]
Solr Value: [Water and Climate Center, National Resources Conservation Service]
Comparing value for field attributeName
Doc Value: [FID, Shape, site_id, date, time, preci_1, tobsi_1, tmaxh_1, tminh_1, tavgh_1, prcph_1, smsi_1_2l, smsi_1_4l, smsi_1_8l, smsi_1_20l, smsi_1_40l, stoi_1_2, stoi_1_4, stoi_1_8, stoi_1_20, stoi_1_40, stoi_2_2, stoi_2_4, stoi_2_8, stoi_2_20, stoi_2_40, sali_1_2, sali_1_4, sali_1_8, sali_1_20, sali_1_40, rdci_1_2, rdci_1_4, rdci_1_8, rdci_1_20, rdci_1_40, batti_1, batti_2, wdirvh_1, wspdxh_1mx, wspdvh1, rhumi_1, presi_1, sradvh_1, dptph_1, pvpvh_1, rhumnh_1, rhumxh_1]
Solr Value: [FID, Shape, site_id, date, time, preci_1, tobsi_1, tmaxh_1, tminh_1, tavgh_1, prcph_1, smsi_1_2l, smsi_1_4l, smsi_1_8l, smsi_1_20l, smsi_1_40l, stoi_1_2, stoi_1_4, stoi_1_8, stoi_1_20, stoi_1_40, stoi_2_2, stoi_2_4, stoi_2_8, stoi_2_20, stoi_2_40, sali_1_2, sali_1_4, sali_1_8, sali_1_20, sali_1_40, rdci_1_2, rdci_1_4, rdci_1_8, rdci_1_20, rdci_1_40, batti_1, batti_2, wdirvh_1, wspdxh_1mx, wspdvh1, rhumi_1, presi_1, sradvh_1, dptph_1, pvpvh_1, rhumnh_1, rhumxh_1]
Comparing value for field attributeDescription
Doc Value: [Internal feature number., Feature geometry., NRCS Internal Site Number, Date, Time (Pacific Standard Time), Precipitation Accumulated, Air Temperature Observed, Air Temperature Maximum, Air Temperature Minimum, Air Temperature Average, Precipitation Increment, Soil Moisture Percent; Sensor Height -2in, Soil Moisture Percent; Sensor Height -4in, Soil Moisture Percent; Sensor Height -8in, Soil Moisture Percent; Sensor Height -20in, Soil Moisture Percent; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Salinity; Sensor Height -2in, Salinity; Sensor Height -4in, Salinity; Sensor Height -8in, Salinity; Sensor Height -20in, Salinity; Sensor Height -40in, Real Dielectric Constant; Sensor Height -2in, Real Dielectric Constant; Sensor Height -4in, Real Dielectric Constant; Sensor Height -8in, Real Dielectric Constant; Sensor Height -20in, Real Dielectric Constant; Sensor Height -40in, Battery Voltage, Battery Voltage, Wind Direction Average, Wind Speed Maximum, Wind Speed Average, Relative Humidity; Vaisala, Barometric Pressure; Sampled 10 minutes, Solar Radiation Average, Dew Point Temperature, Vapor Pressure, Relative Humidity Minimum, Relative Humidity Maximum]
Solr Value: [Internal feature number., Feature geometry., NRCS Internal Site Number, Date, Time (Pacific Standard Time), Precipitation Accumulated, Air Temperature Observed, Air Temperature Maximum, Air Temperature Minimum, Air Temperature Average, Precipitation Increment, Soil Moisture Percent; Sensor Height -2in, Soil Moisture Percent; Sensor Height -4in, Soil Moisture Percent; Sensor Height -8in, Soil Moisture Percent; Sensor Height -20in, Soil Moisture Percent; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Salinity; Sensor Height -2in, Salinity; Sensor Height -4in, Salinity; Sensor Height -8in, Salinity; Sensor Height -20in, Salinity; Sensor Height -40in, Real Dielectric Constant; Sensor Height -2in, Real Dielectric Constant; Sensor Height -4in, Real Dielectric Constant; Sensor Height -8in, Real Dielectric Constant; Sensor Height -20in, Real Dielectric Constant; Sensor Height -40in, Battery Voltage, Battery Voltage, Wind Direction Average, Wind Speed Maximum, Wind Speed Average, Relative Humidity; Vaisala, Barometric Pressure; Sampled 10 minutes, Solar Radiation Average, Dew Point Temperature, Vapor Pressure, Relative Humidity Minimum, Relative Humidity Maximum]
Comparing value for field attributeUnit
Doc Value: [inches, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, inches, percent, percent, percent, percent, percent, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, gram, gram, gram, gram, gram, unitless, unitless, unitless, unitless, unitless, volt, volt, degrees, mph, mph, percent, inches, watt, degrees Celsius, kPa, percent, percent]
Solr Value: [inches, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, inches, percent, percent, percent, percent, percent, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, gram, gram, gram, gram, gram, unitless, unitless, unitless, unitless, unitless, volt, volt, degrees, mph, mph, percent, inches, watt, degrees Celsius, kPa, percent, percent]
Comparing value for field attribute
Doc Value: [FID Internal feature number., Shape Feature geometry., site_id NRCS Internal Site Number, date Date, time Time (Pacific Standard Time), preci_1 Precipitation Accumulated inches, tobsi_1 Air Temperature Observed degrees Celsius, tmaxh_1 Air Temperature Maximum degrees Celsius, tminh_1 Air Temperature Minimum degrees Celsius, tavgh_1 Air Temperature Average degrees Celsius, prcph_1 Precipitation Increment inches, smsi_1_2l Soil Moisture Percent; Sensor Height -2in percent, smsi_1_4l Soil Moisture Percent; Sensor Height -4in percent, smsi_1_8l Soil Moisture Percent; Sensor Height -8in percent, smsi_1_20l Soil Moisture Percent; Sensor Height -20in percent, smsi_1_40l Soil Moisture Percent; Sensor Height -40in percent, stoi_1_2 Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_1_4 Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_1_8 Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_1_20 Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_1_40 Soil Temperature Observed; Sensor Height -40in degrees Celsius, stoi_2_2 Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_2_4 Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_2_8 Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_2_20 Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_2_40 Soil Temperature Observed; Sensor Height -40in degrees Celsius, sali_1_2 Salinity; Sensor Height -2in gram, sali_1_4 Salinity; Sensor Height -4in gram, sali_1_8 Salinity; Sensor Height -8in gram, sali_1_20 Salinity; Sensor Height -20in gram, sali_1_40 Salinity; Sensor Height -40in gram, rdci_1_2 Real Dielectric Constant; Sensor Height -2in unitless, rdci_1_4 Real Dielectric Constant; Sensor Height -4in unitless, rdci_1_8 Real Dielectric Constant; Sensor Height -8in unitless, rdci_1_20 Real Dielectric Constant; Sensor Height -20in unitless, rdci_1_40 Real Dielectric Constant; Sensor Height -40in unitless, batti_1 Battery Voltage volt, batti_2 Battery Voltage volt, wdirvh_1 Wind Direction Average degrees, wspdxh_1mx Wind Speed Maximum mph, wspdvh1 Wind Speed Average mph, rhumi_1 Relative Humidity; Vaisala percent, presi_1 Barometric Pressure; Sampled 10 minutes inches, sradvh_1 Solar Radiation Average watt, dptph_1 Dew Point Temperature degrees Celsius, pvpvh_1 Vapor Pressure kPa, rhumnh_1 Relative Humidity Minimum percent, rhumxh_1 Relative Humidity Maximum percent]
Solr Value: [FID Internal feature number., Shape Feature geometry., site_id NRCS Internal Site Number, date Date, time Time (Pacific Standard Time), preci_1 Precipitation Accumulated inches, tobsi_1 Air Temperature Observed degrees Celsius, tmaxh_1 Air Temperature Maximum degrees Celsius, tminh_1 Air Temperature Minimum degrees Celsius, tavgh_1 Air Temperature Average degrees Celsius, prcph_1 Precipitation Increment inches, smsi_1_2l Soil Moisture Percent; Sensor Height -2in percent, smsi_1_4l Soil Moisture Percent; Sensor Height -4in percent, smsi_1_8l Soil Moisture Percent; Sensor Height -8in percent, smsi_1_20l Soil Moisture Percent; Sensor Height -20in percent, smsi_1_40l Soil Moisture Percent; Sensor Height -40in percent, stoi_1_2 Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_1_4 Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_1_8 Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_1_20 Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_1_40 Soil Temperature Observed; Sensor Height -40in degrees Celsius, stoi_2_2 Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_2_4 Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_2_8 Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_2_20 Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_2_40 Soil Temperature Observed; Sensor Height -40in degrees Celsius, sali_1_2 Salinity; Sensor Height -2in gram, sali_1_4 Salinity; Sensor Height -4in gram, sali_1_8 Salinity; Sensor Height -8in gram, sali_1_20 Salinity; Sensor Height -20in gram, sali_1_40 Salinity; Sensor Height -40in gram, rdci_1_2 Real Dielectric Constant; Sensor Height -2in unitless, rdci_1_4 Real Dielectric Constant; Sensor Height -4in unitless, rdci_1_8 Real Dielectric Constant; Sensor Height -8in unitless, rdci_1_20 Real Dielectric Constant; Sensor Height -20in unitless, rdci_1_40 Real Dielectric Constant; Sensor Height -40in unitless, batti_1 Battery Voltage volt, batti_2 Battery Voltage volt, wdirvh_1 Wind Direction Average degrees, wspdxh_1mx Wind Speed Maximum mph, wspdvh1 Wind Speed Average mph, rhumi_1 Relative Humidity; Vaisala percent, presi_1 Barometric Pressure; Sampled 10 minutes inches, sradvh_1 Solar Radiation Average watt, dptph_1 Dew Point Temperature degrees Celsius, pvpvh_1 Vapor Pressure kPa, rhumnh_1 Relative Humidity Minimum percent, rhumxh_1 Relative Humidity Maximum percent]
Comparing value for field geohash_1
Doc Value: [9]
Solr Value: [9]
Comparing value for field geohash_2
Doc Value: [9w]
Solr Value: [9w]
Comparing value for field geohash_3
Doc Value: [9wk]
Solr Value: [9wk]
Comparing value for field geohash_4
Doc Value: [9wkt]
Solr Value: [9wkt]
Comparing value for field geohash_5
Doc Value: [9wkt6]
Solr Value: [9wkt6]
Comparing value for field geohash_6
Doc Value: [9wkt6b]
Solr Value: [9wkt6b]
Comparing value for field geohash_7
Doc Value: [9wkt6bb]
Solr Value: [9wkt6bb]
Comparing value for field geohash_8
Doc Value: [9wkt6bb8]
Solr Value: [9wkt6bb8]
Comparing value for field geohash_9
Doc Value: [9wkt6bb8x]
Solr Value: [9wkt6bb8x]
Comparing value for field dataUrl
Doc Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Comparing value for field abstract
Doc Value: Adult prawn species, size, sex, reproductive stage, moult stage, and parasites were measured at 20 stations in Albatross Bay, Gulf of Carpentaria. Sampling was carried out monthly between 1986 and 1992. This metadata record is sourced from 'MarLIN', the CSIRO Marine Laboratories Information Network.
Solr Value: Adult prawn species, size, sex, reproductive stage, moult stage, and parasites were measured at 20 stations in Albatross Bay, Gulf of Carpentaria. Sampling was carried out monthly between 1986 and 1992. This metadata record is sourced from 'MarLIN', the CSIRO Marine Laboratories Information Network.
Comparing value for field beginDate
Doc Value: Sat Mar 01 00:00:00 GMT 1986
Solr Value: Sat Mar 01 00:00:00 GMT 1986
Comparing value for field contactOrganization
Doc Value: [CSIRO Division of Marine Research-Hobart]
Solr Value: [CSIRO Division of Marine Research-Hobart]
Comparing value for field eastBoundCoord
Doc Value: 142.0
Solr Value: 142.0
Comparing value for field westBoundCoord
Doc Value: 141.5
Solr Value: 141.5
Comparing value for field northBoundCoord
Doc Value: -12.5
Solr Value: -12.5
Comparing value for field southBoundCoord
Doc Value: -13.0
Solr Value: -13.0
Comparing value for field endDate
Doc Value: Wed Apr 01 00:00:00 GMT 1992
Solr Value: Wed Apr 01 00:00:00 GMT 1992
Comparing value for field keywords
Doc Value: [BIOMASS|LANDSAT TM|LANDSAT-5, adult prawn data, size, sex, reproductive stage, moult stage, parasites, Australlia, Gulf of Carpentaria, Albatross Bay]
Solr Value: [BIOMASS|LANDSAT TM|LANDSAT-5, adult prawn data, size, sex, reproductive stage, moult stage, parasites, Australlia, Gulf of Carpentaria, Albatross Bay]
Comparing value for field geoform
Doc Value: maps data
Solr Value: maps data
Comparing value for field kingdom
Doc Value: [Animalia]
Solr Value: [Animalia]
Comparing value for field order
Doc Value: [Decapoda]
Solr Value: [Decapoda]
Comparing value for field phylum
Doc Value: [Arthropoda, Test]
Solr Value: [Arthropoda, Test]
Comparing value for field class
Doc Value: [Malacostraca]
Solr Value: [Malacostraca]
Comparing value for field origin
Doc Value: [CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)]
Solr Value: [CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)]
Comparing value for field placeKey
Doc Value: [Australlia, Gulf of Carpentaria, Albatross Bay]
Solr Value: [Australlia, Gulf of Carpentaria, Albatross Bay]
Comparing value for field pubDate
Doc Value: Fri Jan 01 00:00:00 GMT 1993
Solr Value: Fri Jan 01 00:00:00 GMT 1993
Comparing value for field purpose
Doc Value: The purpose of the dataset is to provide information about adult prawn species in Albatross Bay, Gulf of Carpentaria.
Solr Value: The purpose of the dataset is to provide information about adult prawn species in Albatross Bay, Gulf of Carpentaria.
Comparing value for field title
Doc Value: Albatross Bay Adult Prawn Data 1986-1992
Solr Value: Albatross Bay Adult Prawn Data 1986-1992
Comparing value for field fileID
Doc Value: https://cn.dataone.org/cn/v2/resolve/www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns
Solr Value: https://cn.dataone.org/cn/v2/resolve/www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns
Comparing value for field text
Doc Value: http://www.nbii.gov/metadata/mdata/CSIRO/csiro_d_abayadultprawns.xml CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research) 1993 Albatross Bay Adult Prawn Data 1986-1992 maps data Australia CSIRO Division of Marine Research Adult prawn species, size, sex, reproductive stage, moult stage, and parasites were measured at 20 stations in Albatross Bay, Gulf of Carpentaria. Sampling was carried out monthly between 1986 and 1992. This metadata record is sourced from 'MarLIN', the CSIRO Marine Laboratories Information Network. The purpose of the dataset is to provide information about adult prawn species in Albatross Bay, Gulf of Carpentaria. Information was obtained from http://www.marine.csiro.au/marine/mcdd/data/CSIRODMR/CSIRODMR_datasets.html.
The previous online linkage was determined to be broken in October 2010 and moved here. The previous online linkage was:
http://www.marine.csiro.au/marine/mcdd/data/CSIRODMR/Albatross_Bay_Adult_Prawn_Data_1986_1992.HTML 19860301 19920401 ground condition Complete None planned Australia, Gulf of Carpentaria 141.5 142 -12.5 -13 ISO 19115 Topic Category none Parameter_Sensor_Source BIOMASS|LANDSAT TM|LANDSAT-5 none adult prawn data size sex reproductive stage moult stage parasites NONE none Australlia Gulf of Carpentaria Albatross Bay none prawns shrimps crustaceans Agencies listed below 2002 Integrated Taxonomic Information System Database Washington, D.C. U.S. Department of Agriculture Department of Commerce, National Oceanic and Atmospheric Administration (NOAA), Department of Interior (DOI), Geological Survey (USGS), Environmental Protection Agency (EPA), Department of Agriculture (USDA), Agriculture Research Service (ARS) Natural Resources Conservation Service (NRCS) Smithsonian Institution National Museum of Natural History (NMNH). http://www.itis.usda.gov/ Kingdom Animalia animals Phylum Arthropoda arthropods Division Test arthropods Subphylum Crustacea crustaceans Class Malacostraca Subclass Eumalacostraca Superorder Eucarida Order Decapoda crabs crayfishes lobsters prawns shrimp Release with the permission of the custodian. None Peter Crocos CSIRO Division of Marine Research-Cleveland mailing address P.O. Box 120 Cleveland Queensland 4163 Australia unknown unknown peter.crocos@csiro.au CSIRO Division of Marine Research Unknown Albatross Bay Chlorophyll Data 1986-1992 unknown Australia CSIRO Division of Marine Research Stephen Blaber, David Brewer, John Salini, J. Kerr Unknown Albatross Bay Fish Data 1986-1988 unknown Australia CSIRO Division of Marine Research Stever Blaber, CSIRO Division of Marine Research Unknown Albatross Bay Nearshore Fish Study 1991-1992 unknown Australia CSIRO Division of Marine Research CSIRO Division of Marine Research Unknown Albatross Bay Nutrient Data 1992 unknown Australia CSIRO Division of Marine Research Chris Jackson, CSIRO Division of Marine Research Unknown Albatross Bay Phytoplankton Data 1986-1992 unknown Queensland, Australia CSIRO Division of Marine Research CSIRO Division of Marine Research Unknown Albatross Bay Prawn Larval Data unknown Queensland, Australia CSIRO Division of Marine Research CSIRO Division of Marine Research Unknown Albatross Bay Primary Productivity unknown Queensland, Australia CSIRO Division of Marine Research not applicable Twenty stations were sampled. Field unknown unknown Unknown Point Entity - Adult Prawn in Albatross Bay, Gulf of Carpentaria, Australia; Attributes - size, sex, reproductive stage, moult stage, parasites unknown Tony Rees CSIRO Division of Marine Research-Hobart mailing address Hobart Australia unknown unknown Tony.Rees@csiro.au You accept all risks and responsibility for losses, damages, costs and other consequences resulting directly or indirectly from using this site and andinformation or material available from it. To the maximum permitted by law, CSIRO excludes all liability to any person arising directly or indirectly from using this site and any information or material available from it. Please contact distributor. 19980710 20020930 20030930 Cheryl Solomon Science Systems and Applications, Inc. Metadata specialist mailing and physical address 10210 Greenbelt Road, Suite 500 Lanham Maryland 20706 301 867-2080 301-867-2149. solomon@gcmd.nasa.gov FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata FGDC-STD-001.1-1999 www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns
Solr Value: http://www.nbii.gov/metadata/mdata/CSIRO/csiro_d_abayadultprawns.xml CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research) 1993 Albatross Bay Adult Prawn Data 1986-1992 maps data Australia CSIRO Division of Marine Research Adult prawn species, size, sex, reproductive stage, moult stage, and parasites were measured at 20 stations in Albatross Bay, Gulf of Carpentaria. Sampling was carried out monthly between 1986 and 1992. This metadata record is sourced from 'MarLIN', the CSIRO Marine Laboratories Information Network. The purpose of the dataset is to provide information about adult prawn species in Albatross Bay, Gulf of Carpentaria. Information was obtained from http://www.marine.csiro.au/marine/mcdd/data/CSIRODMR/CSIRODMR_datasets.html.
The previous online linkage was determined to be broken in October 2010 and moved here. The previous online linkage was:
http://www.marine.csiro.au/marine/mcdd/data/CSIRODMR/Albatross_Bay_Adult_Prawn_Data_1986_1992.HTML 19860301 19920401 ground condition Complete None planned Australia, Gulf of Carpentaria 141.5 142 -12.5 -13 ISO 19115 Topic Category none Parameter_Sensor_Source BIOMASS|LANDSAT TM|LANDSAT-5 none adult prawn data size sex reproductive stage moult stage parasites NONE none Australlia Gulf of Carpentaria Albatross Bay none prawns shrimps crustaceans Agencies listed below 2002 Integrated Taxonomic Information System Database Washington, D.C. U.S. Department of Agriculture Department of Commerce, National Oceanic and Atmospheric Administration (NOAA), Department of Interior (DOI), Geological Survey (USGS), Environmental Protection Agency (EPA), Department of Agriculture (USDA), Agriculture Research Service (ARS) Natural Resources Conservation Service (NRCS) Smithsonian Institution National Museum of Natural History (NMNH). http://www.itis.usda.gov/ Kingdom Animalia animals Phylum Arthropoda arthropods Division Test arthropods Subphylum Crustacea crustaceans Class Malacostraca Subclass Eumalacostraca Superorder Eucarida Order Decapoda crabs crayfishes lobsters prawns shrimp Release with the permission of the custodian. None Peter Crocos CSIRO Division of Marine Research-Cleveland mailing address P.O. Box 120 Cleveland Queensland 4163 Australia unknown unknown peter.crocos@csiro.au CSIRO Division of Marine Research Unknown Albatross Bay Chlorophyll Data 1986-1992 unknown Australia CSIRO Division of Marine Research Stephen Blaber, David Brewer, John Salini, J. Kerr Unknown Albatross Bay Fish Data 1986-1988 unknown Australia CSIRO Division of Marine Research Stever Blaber, CSIRO Division of Marine Research Unknown Albatross Bay Nearshore Fish Study 1991-1992 unknown Australia CSIRO Division of Marine Research CSIRO Division of Marine Research Unknown Albatross Bay Nutrient Data 1992 unknown Australia CSIRO Division of Marine Research Chris Jackson, CSIRO Division of Marine Research Unknown Albatross Bay Phytoplankton Data 1986-1992 unknown Queensland, Australia CSIRO Division of Marine Research CSIRO Division of Marine Research Unknown Albatross Bay Prawn Larval Data unknown Queensland, Australia CSIRO Division of Marine Research CSIRO Division of Marine Research Unknown Albatross Bay Primary Productivity unknown Queensland, Australia CSIRO Division of Marine Research not applicable Twenty stations were sampled. Field unknown unknown Unknown Point Entity - Adult Prawn in Albatross Bay, Gulf of Carpentaria, Australia; Attributes - size, sex, reproductive stage, moult stage, parasites unknown Tony Rees CSIRO Division of Marine Research-Hobart mailing address Hobart Australia unknown unknown Tony.Rees@csiro.au You accept all risks and responsibility for losses, damages, costs and other consequences resulting directly or indirectly from using this site and andinformation or material available from it. To the maximum permitted by law, CSIRO excludes all liability to any person arising directly or indirectly from using this site and any information or material available from it. Please contact distributor. 19980710 20020930 20030930 Cheryl Solomon Science Systems and Applications, Inc. Metadata specialist mailing and physical address 10210 Greenbelt Road, Suite 500 Lanham Maryland 20706 301 867-2080 301-867-2149. solomon@gcmd.nasa.gov FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata FGDC-STD-001.1-1999 www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns
Comparing value for field presentationCat
Doc Value: maps data
Solr Value: maps data
Comparing value for field author
Doc Value: CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)
Solr Value: CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)
Comparing value for field authorSurName
Doc Value: CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)
Solr Value: CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)
Comparing value for field authorSurNameSort
Doc Value: CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)
Solr Value: CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)
Comparing value for field investigator
Doc Value: [CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)]
Solr Value: [CSIRO Marine Research (formerly CSIRO Division of Fisheries/Fisheries Research)]
Comparing value for field site
Doc Value: [Australia, Gulf of Carpentaria]
Solr Value: [Australia, Gulf of Carpentaria]
Comparing value for field geohash_1
Doc Value: [r]
Solr Value: [r]
Comparing value for field geohash_2
Doc Value: [rj]
Solr Value: [rj]
Comparing value for field geohash_3
Doc Value: [rjs]
Solr Value: [rjs]
Comparing value for field geohash_4
Doc Value: [rjsz]
Solr Value: [rjsz]
Comparing value for field geohash_5
Doc Value: [rjsz3]
Solr Value: [rjsz3]
Comparing value for field geohash_6
Doc Value: [rjsz3w]
Solr Value: [rjsz3w]
Comparing value for field geohash_7
Doc Value: [rjsz3wg]
Solr Value: [rjsz3wg]
Comparing value for field geohash_8
Doc Value: [rjsz3wgj]
Solr Value: [rjsz3wgj]
Comparing value for field geohash_9
Doc Value: [rjsz3wgjy]
Solr Value: [rjsz3wgjy]
Comparing value for field id
Doc Value: www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns
Solr Value: www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns
Comparing value for field formatId
Doc Value: FGDC-STD-001.1-1999
Solr Value: FGDC-STD-001.1-1999
Comparing value for field formatType
Doc Value: METADATA
Solr Value: METADATA
Comparing value for field size
Doc Value: 9008
Solr Value: 9008
Comparing value for field checksum
Doc Value: 86bc6417ef29b6fbd279160699044e5e
Solr Value: 86bc6417ef29b6fbd279160699044e5e
Comparing value for field submitter
Doc Value: CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org
Solr Value: CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org
Comparing value for field checksumAlgorithm
Doc Value: MD5
Solr Value: MD5
Comparing value for field rightsHolder
Doc Value: CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org
Solr Value: CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org
Comparing value for field replicationAllowed
Doc Value: true
Solr Value: true
Comparing value for field numberReplicas
Doc Value: 3
Solr Value: 3
Comparing value for field obsoletes
Doc Value: csiro_c_abayadultprawns
Solr Value: csiro_c_abayadultprawns
Comparing value for field obsoletedBy
Doc Value: csiro_e_abayadultprawns
Solr Value: csiro_e_abayadultprawns
Comparing value for field dateUploaded
Doc Value: Thu Mar 22 13:55:48 GMT 2012
Solr Value: Thu Mar 22 13:55:48 GMT 2012
Comparing value for field dateModified
Doc Value: Thu Mar 22 13:55:48 GMT 2012
Solr Value: Thu Mar 22 13:55:48 GMT 2012
Comparing value for field datasource
Doc Value: test_documents
Solr Value: test_documents
Comparing value for field authoritativeMN
Doc Value: test_documents
Solr Value: test_documents
Comparing value for field readPermission
Doc Value: [public]
Solr Value: [public]
Comparing value for field writePermission
Doc Value: [CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org]
Solr Value: [CN=Dave Vieglais T799,O=Google,C=US,DC=cilogon,DC=org]
Comparing value for field isPublic
Doc Value: true
Solr Value: true
Comparing value for field dataUrl
Doc Value: https://cn.dataone.org/cn/v2/resolve/www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns
Solr Value: https://cn.dataone.org/cn/v2/resolve/www.nbii.gov_metadata_mdata_CSIRO_csiro_d_abayadultprawns
Comparing value for field abstract
Doc Value: This metadata record fred, describes a 12-34 TT-12 long-term data document can't frank. This is a test. If this was not a lower, an abstract "double" or 'single' would be present in UPPER (parenthized) this location.
Solr Value: This metadata record fred, describes a 12-34 TT-12 long-term data document can't frank. This is a test. If this was not a lower, an abstract "double" or 'single' would be present in UPPER (parenthized) this location.
Comparing value for field keywords
Doc Value: [SANParks, South Africa, Augrabies Falls National Park,South Africa, Census data, EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature]
Solr Value: [SANParks, South Africa, Augrabies Falls National Park,South Africa, Census data, EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature]
Comparing value for field title
Doc Value: Augrabies falls National Park census data.
Solr Value: Augrabies falls National Park census data.
Comparing value for field southBoundCoord
Doc Value: 26.0
Solr Value: 26.0
Comparing value for field northBoundCoord
Doc Value: 26.0
Solr Value: 26.0
Comparing value for field westBoundCoord
Doc Value: -120.31121
Solr Value: -120.31121
Comparing value for field eastBoundCoord
Doc Value: -120.31121
Solr Value: -120.31121
Comparing value for field site
Doc Value: [Agulhas falls national Park]
Solr Value: [Agulhas falls national Park]
Comparing value for field beginDate
Doc Value: Thu Jan 01 00:00:00 GMT 1998
Solr Value: Thu Jan 01 00:00:00 GMT 1998
Comparing value for field endDate
Doc Value: Fri Feb 13 00:00:00 GMT 2004
Solr Value: Fri Feb 13 00:00:00 GMT 2004
Comparing value for field author
Doc Value: SANParks
Solr Value: SANParks
Comparing value for field authorSurName
Doc Value: SANParks
Solr Value: SANParks
Comparing value for field authorSurNameSort
Doc Value: SANParks
Solr Value: SANParks
Comparing value for field authorLastName
Doc Value: [SANParks, Garcia, Freeman]
Solr Value: [SANParks, Garcia, Freeman]
Comparing value for field investigator
Doc Value: [SANParks, Garcia, Freeman]
Solr Value: [SANParks, Garcia, Freeman]
Comparing value for field origin
Doc Value: [SANParks Freddy Garcia, Gordon Freeman, The Awesome Store]
Solr Value: [SANParks Freddy Garcia, Gordon Freeman, The Awesome Store]
Comparing value for field contactOrganization
Doc Value: [SANParks, The Awesome Store]
Solr Value: [SANParks, The Awesome Store]
Comparing value for field genus
Doc Value: [Antidorcas, Cercopithecus, Diceros, Equus, Giraffa, Oreotragus, Oryz, Papio, Taurotragus, Tragelaphus]
Solr Value: [Antidorcas, Cercopithecus, Diceros, Equus, Giraffa, Oreotragus, Oryz, Papio, Taurotragus, Tragelaphus]
Comparing value for field species
Doc Value: [marsupialis, aethiops, bicornis, hartmannae, camelopardalis, oreotragus, gazella, hamadryas, oryx, strepsiceros]
Solr Value: [marsupialis, aethiops, bicornis, hartmannae, camelopardalis, oreotragus, gazella, hamadryas, oryx, strepsiceros]
Comparing value for field scientificName
Doc Value: [Antidorcas marsupialis, Cercopithecus aethiops, Diceros bicornis, Equus hartmannae, Giraffa camelopardalis, Oreotragus oreotragus, Oryz gazella, Papio hamadryas, Taurotragus oryx, Tragelaphus strepsiceros]
Solr Value: [Antidorcas marsupialis, Cercopithecus aethiops, Diceros bicornis, Equus hartmannae, Giraffa camelopardalis, Oreotragus oreotragus, Oryz gazella, Papio hamadryas, Taurotragus oryx, Tragelaphus strepsiceros]
Comparing value for field attributeName
Doc Value: [ID, Lat S, Long E, Date, Stratum, Transect, Species, LatS, LongE, Total, Juvenile, L/R, Species, Stratum, Date, SumOfTotal, SumOfJuvenile, Species, Date, SumOfTotal, SumOfJuvenile]
Solr Value: [ID, Lat S, Long E, Date, Stratum, Transect, Species, LatS, LongE, Total, Juvenile, L/R, Species, Stratum, Date, SumOfTotal, SumOfJuvenile, Species, Date, SumOfTotal, SumOfJuvenile]
Comparing value for field attributeDescription
Doc Value: [The ID, Lat S, Long E, The date, Stratum, Transect, The name of species, LatS, LongE, The total, Juvenile, L/R, The name of species, Stratum, The date, Sum of the total, Sum of juvenile, The name of species, The date, The sum of total, Sum of juvenile]
Solr Value: [The ID, Lat S, Long E, The date, Stratum, Transect, The name of species, LatS, LongE, The total, Juvenile, L/R, The name of species, Stratum, The date, Sum of the total, Sum of juvenile, The name of species, The date, The sum of total, Sum of juvenile]
Comparing value for field attributeUnit
Doc Value: [dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless]
Solr Value: [dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless, dimensionless]
Comparing value for field attribute
Doc Value: [ID The ID dimensionless, Lat S Lat S dimensionless, Long E Long E dimensionless, Date The date, Stratum Stratum dimensionless, Transect Transect dimensionless, Species The name of species, LatS LatS dimensionless, LongE LongE dimensionless, Total The total dimensionless, Juvenile Juvenile dimensionless, L/R L/R dimensionless, Species The name of species, Stratum Stratum dimensionless, Date The date, SumOfTotal Sum of the total dimensionless, SumOfJuvenile Sum of juvenile dimensionless, Species The name of species, Date The date, SumOfTotal The sum of total dimensionless, SumOfJuvenile Sum of juvenile dimensionless]
Solr Value: [ID The ID dimensionless, Lat S Lat S dimensionless, Long E Long E dimensionless, Date The date, Stratum Stratum dimensionless, Transect Transect dimensionless, Species The name of species, LatS LatS dimensionless, LongE LongE dimensionless, Total The total dimensionless, Juvenile Juvenile dimensionless, L/R L/R dimensionless, Species The name of species, Stratum Stratum dimensionless, Date The date, SumOfTotal Sum of the total dimensionless, SumOfJuvenile Sum of juvenile dimensionless, Species The name of species, Date The date, SumOfTotal The sum of total dimensionless, SumOfJuvenile Sum of juvenile dimensionless]
Comparing value for field fileID
Doc Value: https://cn.dataone.org/cn/v2/resolve/peggym.130.4
Solr Value: https://cn.dataone.org/cn/v2/resolve/peggym.130.4
Comparing value for field text
Doc Value: Augrabies falls National Park census data. SANParks Garcia Freddy SANParks Regional Ecologists Private Bag x402 Skukuza, 1350 South Africa Freeman Gordon SANParks Regional Ecologists Private Bag x402 Skukuza, 1350 South Africa The Awesome Store Regional Ecologists Private Bag x402 Skukuza, 1350 South Africa This metadata record fred, describes a 12-34 TT-12 long-term data document can't frank. This is a test. If this was not a lower, an abstract "double" or 'single' would be present in UPPER (parenthized) this location. SANParks, South Africa Augrabies Falls National Park,South Africa Census data EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature Agulhas falls national Park -120.311210 -120.311210 26.0 26.0 1998 2004-02-13 Genus Antidorcas Species marsupialis Hartmans Zebra Genus Cercopithecus Species aethiops Vervet monkey Genus Diceros Species bicornis Baboon Genus Equus Species hartmannae Giraffe Genus Giraffa Species camelopardalis Kudu Genus Oreotragus Species oreotragus Gemsbok Genus Oryz Species gazella Eland Genus Papio Species hamadryas Genus Taurotragus Species oryx Black rhino Genus Tragelaphus Species strepsiceros Klipspringer 1251095992100 peggym.130.4 ID Lat S Long E Date Stratum Transect Species LatS LongE Total Juvenile L/R SumOfTotal SumOfJuvenile The ID Lat S Long E The date Stratum Transect The name of species LatS LongE The total Juvenile L/R Sum of the total Sum of juvenile The sum of total dimensionless
Solr Value: Augrabies falls National Park census data. SANParks Garcia Freddy SANParks Regional Ecologists Private Bag x402 Skukuza, 1350 South Africa Freeman Gordon SANParks Regional Ecologists Private Bag x402 Skukuza, 1350 South Africa The Awesome Store Regional Ecologists Private Bag x402 Skukuza, 1350 South Africa This metadata record fred, describes a 12-34 TT-12 long-term data document can't frank. This is a test. If this was not a lower, an abstract "double" or 'single' would be present in UPPER (parenthized) this location. SANParks, South Africa Augrabies Falls National Park,South Africa Census data EARTH SCIENCE : Oceans : Ocean Temperature : Water Temperature Agulhas falls national Park -120.311210 -120.311210 26.0 26.0 1998 2004-02-13 Genus Antidorcas Species marsupialis Hartmans Zebra Genus Cercopithecus Species aethiops Vervet monkey Genus Diceros Species bicornis Baboon Genus Equus Species hartmannae Giraffe Genus Giraffa Species camelopardalis Kudu Genus Oreotragus Species oreotragus Gemsbok Genus Oryz Species gazella Eland Genus Papio Species hamadryas Genus Taurotragus Species oryx Black rhino Genus Tragelaphus Species strepsiceros Klipspringer 1251095992100 peggym.130.4 ID Lat S Long E Date Stratum Transect Species LatS LongE Total Juvenile L/R SumOfTotal SumOfJuvenile The ID Lat S Long E The date Stratum Transect The name of species LatS LongE The total Juvenile L/R Sum of the total Sum of juvenile The sum of total dimensionless
Comparing value for field geohash_1
Doc Value: [9]
Solr Value: [9]
Comparing value for field geohash_2
Doc Value: [9k]
Solr Value: [9k]
Comparing value for field geohash_3
Doc Value: [9kd]
Solr Value: [9kd]
Comparing value for field geohash_4
Doc Value: [9kd7]
Solr Value: [9kd7]
Comparing value for field geohash_5
Doc Value: [9kd7y]
Solr Value: [9kd7y]
Comparing value for field geohash_6
Doc Value: [9kd7ym]
Solr Value: [9kd7ym]
Comparing value for field geohash_7
Doc Value: [9kd7ym0]
Solr Value: [9kd7ym0]
Comparing value for field geohash_8
Doc Value: [9kd7ym0h]
Solr Value: [9kd7ym0h]
Comparing value for field geohash_9
Doc Value: [9kd7ym0hc]
Solr Value: [9kd7ym0hc]
Comparing value for field isService
Doc Value: false
Solr Value: false
Comparing value for field id
Doc Value: peggym.130.4
Solr Value: peggym.130.4
Comparing value for field seriesId
Doc Value: peggym.130
Solr Value: peggym.130
Comparing value for field formatId
Doc Value: eml://ecoinformatics.org/eml-2.1.0
Solr Value: eml://ecoinformatics.org/eml-2.1.0
Comparing value for field formatType
Doc Value: METADATA
Solr Value: METADATA
Comparing value for field size
Doc Value: 36281
Solr Value: 36281
Comparing value for field checksum
Doc Value: 24426711d5385a9ffa583a13d07af2502884932f
Solr Value: 24426711d5385a9ffa583a13d07af2502884932f
Comparing value for field submitter
Doc Value: dataone_integration_test_user
Solr Value: dataone_integration_test_user
Comparing value for field checksumAlgorithm
Doc Value: SHA-1
Solr Value: SHA-1
Comparing value for field rightsHolder
Doc Value: dataone_integration_test_user
Solr Value: dataone_integration_test_user
Comparing value for field replicationAllowed
Doc Value: true
Solr Value: true
Comparing value for field obsoletes
Doc Value: peggym.130.3
Solr Value: peggym.130.3
Comparing value for field dateUploaded
Doc Value: Wed Aug 31 15:59:50 GMT 2011
Solr Value: Wed Aug 31 15:59:50 GMT 2011
Comparing value for field dateModified
Doc Value: Wed Aug 31 15:59:50 GMT 2011
Solr Value: Wed Aug 31 15:59:50 GMT 2011
Comparing value for field datasource
Doc Value: test_documents
Solr Value: test_documents
Comparing value for field authoritativeMN
Doc Value: test_documents
Solr Value: test_documents
Comparing value for field readPermission
Doc Value: [public, dataone_public_user, dataone_test_user]
Solr Value: [public, dataone_public_user, dataone_test_user]
Comparing value for field writePermission
Doc Value: [dataone_integration_test_user]
Solr Value: [dataone_integration_test_user]
Comparing value for field isPublic
Doc Value: true
Solr Value: true
Comparing value for field dataUrl
Doc Value: https://cn.dataone.org/cn/v2/resolve/peggym.130.4
Solr Value: https://cn.dataone.org/cn/v2/resolve/peggym.130.4
Comparing value for field abstract
Doc Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more.
Solr Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more.
Comparing value for field beginDate
Doc Value: Tue Jul 01 00:00:00 GMT 2014
Solr Value: Tue Jul 01 00:00:00 GMT 2014
Comparing value for field contactOrganization
Doc Value: [Earth Data Analysis Center]
Solr Value: [Earth Data Analysis Center]
Comparing value for field eastBoundCoord
Doc Value: -106.05
Solr Value: -106.05
Comparing value for field westBoundCoord
Doc Value: -106.05
Solr Value: -106.05
Comparing value for field northBoundCoord
Doc Value: 36.083332
Solr Value: 36.083332
Comparing value for field southBoundCoord
Doc Value: 36.083332
Solr Value: 36.083332
Comparing value for field endDate
Doc Value: Fri Aug 01 00:00:00 GMT 2014
Solr Value: Fri Aug 01 00:00:00 GMT 2014
Comparing value for field keywords
Doc Value: [climatologyMeteorologyAtmosphere, precipitation, air temperature, relative humidity, solar radiation, barometric pressure, snow water content, snow depth, soil moisture, soil temperature, EPSCoR Tract 3, EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Solr Value: [climatologyMeteorologyAtmosphere, precipitation, air temperature, relative humidity, solar radiation, barometric pressure, snow water content, snow depth, soil moisture, soil temperature, EPSCoR Tract 3, EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Comparing value for field geoform
Doc Value: vector digital data
Solr Value: vector digital data
Comparing value for field origin
Doc Value: [Water and Climate Center, National Resources Conservation Service]
Solr Value: [Water and Climate Center, National Resources Conservation Service]
Comparing value for field placeKey
Doc Value: [EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Solr Value: [EPSG:4269, EPSG:7019, NM, Rio Arriba, Alcalde]
Comparing value for field pubDate
Doc Value: Mon Aug 04 00:00:00 GMT 2014
Solr Value: Mon Aug 04 00:00:00 GMT 2014
Comparing value for field purpose
Doc Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more.
Solr Value: The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more.
Comparing value for field title
Doc Value: SCAN Alcalde, NM (July, 2014)
Solr Value: SCAN Alcalde, NM (July, 2014)
Comparing value for field webUrl
Doc Value: [http://nmepscor.org/dataportal, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml]
Solr Value: [http://nmepscor.org/dataportal, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.html, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xml, http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml]
Comparing value for field fileID
Doc Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Comparing value for field text
Doc Value: Water and Climate Center, National Resources Conservation Service 20140804 SCAN Alcalde, NM (July, 2014) vector digital data http://nmepscor.org/dataportalhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shphttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.ziphttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojsonhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.jsonhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csvhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xlshttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.htmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.htmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more. The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more. Funding for this SCAN station was provided by EPSCoR. These data are
made available through New Mexico's Experimental Program to
Stimulate Competitive Research (NM EPSCoR) data portal. The portal provides access
to data generated by and of use to the EPSCoR community including researchers,
educators, and policy leaders, as well as the general public.
http://www.wcc.nrcs.usda.gov/scan/ 20140701 010000 20140801 Ground Condition Complete Unknown -106.05 -106.05 36.0833333333 36.0833333333 ISO 19115 Topic Categories climatologyMeteorologyAtmosphere http://www.wcc.nrcs.usda.gov/scan/ precipitation air temperature relative humidity solar radiation barometric pressure snow water content snow depth soil moisture soil temperature EPSCoR Project EPSCoR Tract 3 Spatial Reference System Identifiers EPSG:4269 EPSG:7019 http://www.wcc.nrcs.usda.gov/scan/ NM Rio Arriba Alcalde None None Tony Tolsdorf National Water and Climate Center Monitoring Branch Leader Mailing address 1201 NE Lloyd Blvd., Suite 802 Portland OR 97232-1274 503-414-3006 tony.tolsdorf@por.usda.gov Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog
9.3.1.3000 Not provided Not provided Create the shapefiles using the provided lat/lon from the NRCS, one per
station using an Arcpy script. Download the CSV data for each station, each
year, each month from the station's Reporting Since date. 20140804 Earth Data Analysis Center Clearinghouse Manager mailing address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 8am to 5pm MT, M-F Rio Arriba County, NM Vector Point 744 0.00000001 0.00000001 Decimal degrees North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 SCAN Soil, Climate, Analysis, Network (SCAN) http://www.wcc.nrcs.usda.gov/scan/ FID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Coordinates defining the features. site_id NRCS Internal Site Number NRCS NRCS Internal Site Number date Date NRCS Date time Time (Pacific Standard Time) NRCS Time (Pacific Standard Time) preci_1 Precipitation Accumulated NRCS Unknown Unknown inches tobsi_1 Air Temperature Observed NRCS Unknown Unknown degrees Celsius tmaxh_1 Air Temperature Maximum NRCS Unknown Unknown degrees Celsius tminh_1 Air Temperature Minimum NRCS Unknown Unknown degrees Celsius tavgh_1 Air Temperature Average NRCS Unknown Unknown degrees Celsius prcph_1 Precipitation Increment NRCS Unknown Unknown inches smsi_1_2l Soil Moisture Percent; Sensor Height -2in NRCS Unknown Unknown percent smsi_1_4l Soil Moisture Percent; Sensor Height -4in NRCS Unknown Unknown percent smsi_1_8l Soil Moisture Percent; Sensor Height -8in NRCS Unknown Unknown percent smsi_1_20l Soil Moisture Percent; Sensor Height -20in NRCS Unknown Unknown percent smsi_1_40l Soil Moisture Percent; Sensor Height -40in NRCS Unknown Unknown percent stoi_1_2 Soil Temperature Observed; Sensor Height -2in NRCS Unknown Unknown degrees Celsius stoi_1_4 Soil Temperature Observed; Sensor Height -4in NRCS Unknown Unknown degrees Celsius stoi_1_8 Soil Temperature Observed; Sensor Height -8in NRCS Unknown Unknown degrees Celsius stoi_1_20 Soil Temperature Observed; Sensor Height -20in NRCS Unknown Unknown degrees Celsius stoi_1_40 Soil Temperature Observed; Sensor Height -40in NRCS Unknown Unknown degrees Celsius stoi_2_2 Soil Temperature Observed; Sensor Height -2in NRCS Unknown Unknown degrees Celsius stoi_2_4 Soil Temperature Observed; Sensor Height -4in NRCS Unknown Unknown degrees Celsius stoi_2_8 Soil Temperature Observed; Sensor Height -8in NRCS Unknown Unknown degrees Celsius stoi_2_20 Soil Temperature Observed; Sensor Height -20in NRCS Unknown Unknown degrees Celsius stoi_2_40 Soil Temperature Observed; Sensor Height -40in NRCS Unknown Unknown degrees Celsius sali_1_2 Salinity; Sensor Height -2in NRCS Unknown Unknown gram sali_1_4 Salinity; Sensor Height -4in NRCS Unknown Unknown gram sali_1_8 Salinity; Sensor Height -8in NRCS Unknown Unknown gram sali_1_20 Salinity; Sensor Height -20in NRCS Unknown Unknown gram sali_1_40 Salinity; Sensor Height -40in NRCS Unknown Unknown gram rdci_1_2 Real Dielectric Constant; Sensor Height -2in NRCS Unknown Unknown unitless rdci_1_4 Real Dielectric Constant; Sensor Height -4in NRCS Unknown Unknown unitless rdci_1_8 Real Dielectric Constant; Sensor Height -8in NRCS Unknown Unknown unitless rdci_1_20 Real Dielectric Constant; Sensor Height -20in NRCS Unknown Unknown unitless rdci_1_40 Real Dielectric Constant; Sensor Height -40in NRCS Unknown Unknown unitless batti_1 Battery Voltage NRCS Unknown Unknown volt batti_2 Battery Voltage NRCS Unknown Unknown volt wdirvh_1 Wind Direction Average NRCS Unknown Unknown degrees wspdxh_1mx Wind Speed Maximum NRCS Unknown Unknown mph wspdvh1 Wind Speed Average NRCS Unknown Unknown mph rhumi_1 Relative Humidity; Vaisala NRCS Unknown Unknown percent presi_1 Barometric Pressure; Sampled 10 minutes NRCS Unknown Unknown inches sradvh_1 Solar Radiation Average NRCS Unknown Unknown watt dptph_1 Dew Point Temperature NRCS Unknown Unknown degrees Celsius pvpvh_1 Vapor Pressure NRCS Unknown Unknown kPa rhumnh_1 Relative Humidity Minimum NRCS Unknown Unknown percent rhumxh_1 Relative Humidity Maximum NRCS Unknown Unknown percent Earth Data Analysis Center Clearinghouse Manager mailing and physical address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 0800 - 1700 MT, M-F -7 hours GMT Downloadable Data The material on this site is made available as a public service. Maps and data are to be used for reference purposes only and the Earth Data Analysis Center (EDAC), New Mexico EPSCoR (NM EPSCoR), Energize New Mexico and The University of New Mexico are not responsible for any inaccuracies herein contained. No responsibility is assumed for damages or other liabilities due to the accuracy, availability, use or misuse of the information herein provided. Unless otherwise indicated in the documentation (metadata) for individual data sets, information on this site is public domain and may be copied without permission; citation of the source is appreciated. ZIP 1 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu ESRI Shapefile (shp) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu GML 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu KML 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu GeoJSON 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu JSON 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Comma Separated Values (csv) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu MS Excel format (xls) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Adequate computer capability is the only technical prerequisite for viewing data in digital form. 20150423 Earth Data Analysis Center Clearinghouse Manager mailing and physical address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 0800 - 1700 MT, M-F -7 hours GMT FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time 68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: Water and Climate Center, National Resources Conservation Service 20140804 SCAN Alcalde, NM (July, 2014) vector digital data http://nmepscor.org/dataportalhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wms?SERVICE=wms&REQUEST=GetCapabilities&VERSION=1.1.1http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/services/ogc/wfs?SERVICE=wfs&REQUEST=GetCapabilities&VERSION=1.0.0http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shphttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.ziphttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojsonhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.jsonhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csvhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xlshttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/FGDC-STD-001-1998.htmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19115:2003.htmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WMS.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19119:WFS.xmlhttp://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/metadata/ISO-19110.xml The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more. The Soil Climate Analysis Network (SCAN) is a comprehensive, nationwide soil
moisture and climate information system designed to provide data to support natural
resource assessments and conservation activities. Administered by the United States
Department of Agriculture Natural Resources Conservation Service (NRCS) through the
National Water and Climate Center (NWCC), in cooperation with the NRCS National Soil
Survey Center, the system focuses on agricultural areas of the U.S. monitoring soil
temperature and soil moisture content at several depths, soil water level, air
temperature, relative humidity, solar radiation, wind, precipitation, barometric
pressure, and more. Funding for this SCAN station was provided by EPSCoR. These data are
made available through New Mexico's Experimental Program to
Stimulate Competitive Research (NM EPSCoR) data portal. The portal provides access
to data generated by and of use to the EPSCoR community including researchers,
educators, and policy leaders, as well as the general public.
http://www.wcc.nrcs.usda.gov/scan/ 20140701 010000 20140801 Ground Condition Complete Unknown -106.05 -106.05 36.0833333333 36.0833333333 ISO 19115 Topic Categories climatologyMeteorologyAtmosphere http://www.wcc.nrcs.usda.gov/scan/ precipitation air temperature relative humidity solar radiation barometric pressure snow water content snow depth soil moisture soil temperature EPSCoR Project EPSCoR Tract 3 Spatial Reference System Identifiers EPSG:4269 EPSG:7019 http://www.wcc.nrcs.usda.gov/scan/ NM Rio Arriba Alcalde None None Tony Tolsdorf National Water and Climate Center Monitoring Branch Leader Mailing address 1201 NE Lloyd Blvd., Suite 802 Portland OR 97232-1274 503-414-3006 tony.tolsdorf@por.usda.gov Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog
9.3.1.3000 Not provided Not provided Create the shapefiles using the provided lat/lon from the NRCS, one per
station using an Arcpy script. Download the CSV data for each station, each
year, each month from the station's Reporting Since date. 20140804 Earth Data Analysis Center Clearinghouse Manager mailing address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 8am to 5pm MT, M-F Rio Arriba County, NM Vector Point 744 0.00000001 0.00000001 Decimal degrees North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 SCAN Soil, Climate, Analysis, Network (SCAN) http://www.wcc.nrcs.usda.gov/scan/ FID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Coordinates defining the features. site_id NRCS Internal Site Number NRCS NRCS Internal Site Number date Date NRCS Date time Time (Pacific Standard Time) NRCS Time (Pacific Standard Time) preci_1 Precipitation Accumulated NRCS Unknown Unknown inches tobsi_1 Air Temperature Observed NRCS Unknown Unknown degrees Celsius tmaxh_1 Air Temperature Maximum NRCS Unknown Unknown degrees Celsius tminh_1 Air Temperature Minimum NRCS Unknown Unknown degrees Celsius tavgh_1 Air Temperature Average NRCS Unknown Unknown degrees Celsius prcph_1 Precipitation Increment NRCS Unknown Unknown inches smsi_1_2l Soil Moisture Percent; Sensor Height -2in NRCS Unknown Unknown percent smsi_1_4l Soil Moisture Percent; Sensor Height -4in NRCS Unknown Unknown percent smsi_1_8l Soil Moisture Percent; Sensor Height -8in NRCS Unknown Unknown percent smsi_1_20l Soil Moisture Percent; Sensor Height -20in NRCS Unknown Unknown percent smsi_1_40l Soil Moisture Percent; Sensor Height -40in NRCS Unknown Unknown percent stoi_1_2 Soil Temperature Observed; Sensor Height -2in NRCS Unknown Unknown degrees Celsius stoi_1_4 Soil Temperature Observed; Sensor Height -4in NRCS Unknown Unknown degrees Celsius stoi_1_8 Soil Temperature Observed; Sensor Height -8in NRCS Unknown Unknown degrees Celsius stoi_1_20 Soil Temperature Observed; Sensor Height -20in NRCS Unknown Unknown degrees Celsius stoi_1_40 Soil Temperature Observed; Sensor Height -40in NRCS Unknown Unknown degrees Celsius stoi_2_2 Soil Temperature Observed; Sensor Height -2in NRCS Unknown Unknown degrees Celsius stoi_2_4 Soil Temperature Observed; Sensor Height -4in NRCS Unknown Unknown degrees Celsius stoi_2_8 Soil Temperature Observed; Sensor Height -8in NRCS Unknown Unknown degrees Celsius stoi_2_20 Soil Temperature Observed; Sensor Height -20in NRCS Unknown Unknown degrees Celsius stoi_2_40 Soil Temperature Observed; Sensor Height -40in NRCS Unknown Unknown degrees Celsius sali_1_2 Salinity; Sensor Height -2in NRCS Unknown Unknown gram sali_1_4 Salinity; Sensor Height -4in NRCS Unknown Unknown gram sali_1_8 Salinity; Sensor Height -8in NRCS Unknown Unknown gram sali_1_20 Salinity; Sensor Height -20in NRCS Unknown Unknown gram sali_1_40 Salinity; Sensor Height -40in NRCS Unknown Unknown gram rdci_1_2 Real Dielectric Constant; Sensor Height -2in NRCS Unknown Unknown unitless rdci_1_4 Real Dielectric Constant; Sensor Height -4in NRCS Unknown Unknown unitless rdci_1_8 Real Dielectric Constant; Sensor Height -8in NRCS Unknown Unknown unitless rdci_1_20 Real Dielectric Constant; Sensor Height -20in NRCS Unknown Unknown unitless rdci_1_40 Real Dielectric Constant; Sensor Height -40in NRCS Unknown Unknown unitless batti_1 Battery Voltage NRCS Unknown Unknown volt batti_2 Battery Voltage NRCS Unknown Unknown volt wdirvh_1 Wind Direction Average NRCS Unknown Unknown degrees wspdxh_1mx Wind Speed Maximum NRCS Unknown Unknown mph wspdvh1 Wind Speed Average NRCS Unknown Unknown mph rhumi_1 Relative Humidity; Vaisala NRCS Unknown Unknown percent presi_1 Barometric Pressure; Sampled 10 minutes NRCS Unknown Unknown inches sradvh_1 Solar Radiation Average NRCS Unknown Unknown watt dptph_1 Dew Point Temperature NRCS Unknown Unknown degrees Celsius pvpvh_1 Vapor Pressure NRCS Unknown Unknown kPa rhumnh_1 Relative Humidity Minimum NRCS Unknown Unknown percent rhumxh_1 Relative Humidity Maximum NRCS Unknown Unknown percent Earth Data Analysis Center Clearinghouse Manager mailing and physical address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 0800 - 1700 MT, M-F -7 hours GMT Downloadable Data The material on this site is made available as a public service. Maps and data are to be used for reference purposes only and the Earth Data Analysis Center (EDAC), New Mexico EPSCoR (NM EPSCoR), Energize New Mexico and The University of New Mexico are not responsible for any inaccuracies herein contained. No responsibility is assumed for damages or other liabilities due to the accuracy, availability, use or misuse of the information herein provided. Unless otherwise indicated in the documentation (metadata) for individual data sets, information on this site is public domain and may be copied without permission; citation of the source is appreciated. ZIP 1 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.original.zip Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu ESRI Shapefile (shp) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.shp Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu GML 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.gml Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu KML 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.kml Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu GeoJSON 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.geojson Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu JSON 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.json Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Comma Separated Values (csv) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.csv Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu MS Excel format (xls) 5 http://gstore.unm.edu/apps/energize/datasets/68e96cf6-fb14-42aa-bbea-6da546ccb507/scan_201407_2172.derived.xls Download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico at http://nmepscor.org. None. The files are available to download from New Mexico EPSCoR (NM EPSCoR), Energize New Mexico (http://nmepscor.org). Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Contact Earth Data Analysis Center at clearinghouse@edac.unm.edu Adequate computer capability is the only technical prerequisite for viewing data in digital form. 20150423 Earth Data Analysis Center Clearinghouse Manager mailing and physical address MSC01 1110 1 University of New Mexico Albuquerque NM 87131-0001 USA 505-277-3622 ext. 230 505-277-3614 clearinghouse@edac.unm.edu 0800 - 1700 MT, M-F -7 hours GMT FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time 68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Comparing value for field presentationCat
Doc Value: vector digital data
Solr Value: vector digital data
Comparing value for field author
Doc Value: Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service
Comparing value for field authorSurName
Doc Value: Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service
Comparing value for field authorSurNameSort
Doc Value: Water and Climate Center, National Resources Conservation Service
Solr Value: Water and Climate Center, National Resources Conservation Service
Comparing value for field investigator
Doc Value: [Water and Climate Center, National Resources Conservation Service]
Solr Value: [Water and Climate Center, National Resources Conservation Service]
Comparing value for field attributeName
Doc Value: [FID, Shape, site_id, date, time, preci_1, tobsi_1, tmaxh_1, tminh_1, tavgh_1, prcph_1, smsi_1_2l, smsi_1_4l, smsi_1_8l, smsi_1_20l, smsi_1_40l, stoi_1_2, stoi_1_4, stoi_1_8, stoi_1_20, stoi_1_40, stoi_2_2, stoi_2_4, stoi_2_8, stoi_2_20, stoi_2_40, sali_1_2, sali_1_4, sali_1_8, sali_1_20, sali_1_40, rdci_1_2, rdci_1_4, rdci_1_8, rdci_1_20, rdci_1_40, batti_1, batti_2, wdirvh_1, wspdxh_1mx, wspdvh1, rhumi_1, presi_1, sradvh_1, dptph_1, pvpvh_1, rhumnh_1, rhumxh_1]
Solr Value: [FID, Shape, site_id, date, time, preci_1, tobsi_1, tmaxh_1, tminh_1, tavgh_1, prcph_1, smsi_1_2l, smsi_1_4l, smsi_1_8l, smsi_1_20l, smsi_1_40l, stoi_1_2, stoi_1_4, stoi_1_8, stoi_1_20, stoi_1_40, stoi_2_2, stoi_2_4, stoi_2_8, stoi_2_20, stoi_2_40, sali_1_2, sali_1_4, sali_1_8, sali_1_20, sali_1_40, rdci_1_2, rdci_1_4, rdci_1_8, rdci_1_20, rdci_1_40, batti_1, batti_2, wdirvh_1, wspdxh_1mx, wspdvh1, rhumi_1, presi_1, sradvh_1, dptph_1, pvpvh_1, rhumnh_1, rhumxh_1]
Comparing value for field attributeDescription
Doc Value: [Internal feature number., Feature geometry., NRCS Internal Site Number, Date, Time (Pacific Standard Time), Precipitation Accumulated, Air Temperature Observed, Air Temperature Maximum, Air Temperature Minimum, Air Temperature Average, Precipitation Increment, Soil Moisture Percent; Sensor Height -2in, Soil Moisture Percent; Sensor Height -4in, Soil Moisture Percent; Sensor Height -8in, Soil Moisture Percent; Sensor Height -20in, Soil Moisture Percent; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Salinity; Sensor Height -2in, Salinity; Sensor Height -4in, Salinity; Sensor Height -8in, Salinity; Sensor Height -20in, Salinity; Sensor Height -40in, Real Dielectric Constant; Sensor Height -2in, Real Dielectric Constant; Sensor Height -4in, Real Dielectric Constant; Sensor Height -8in, Real Dielectric Constant; Sensor Height -20in, Real Dielectric Constant; Sensor Height -40in, Battery Voltage, Battery Voltage, Wind Direction Average, Wind Speed Maximum, Wind Speed Average, Relative Humidity; Vaisala, Barometric Pressure; Sampled 10 minutes, Solar Radiation Average, Dew Point Temperature, Vapor Pressure, Relative Humidity Minimum, Relative Humidity Maximum]
Solr Value: [Internal feature number., Feature geometry., NRCS Internal Site Number, Date, Time (Pacific Standard Time), Precipitation Accumulated, Air Temperature Observed, Air Temperature Maximum, Air Temperature Minimum, Air Temperature Average, Precipitation Increment, Soil Moisture Percent; Sensor Height -2in, Soil Moisture Percent; Sensor Height -4in, Soil Moisture Percent; Sensor Height -8in, Soil Moisture Percent; Sensor Height -20in, Soil Moisture Percent; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Soil Temperature Observed; Sensor Height -2in, Soil Temperature Observed; Sensor Height -4in, Soil Temperature Observed; Sensor Height -8in, Soil Temperature Observed; Sensor Height -20in, Soil Temperature Observed; Sensor Height -40in, Salinity; Sensor Height -2in, Salinity; Sensor Height -4in, Salinity; Sensor Height -8in, Salinity; Sensor Height -20in, Salinity; Sensor Height -40in, Real Dielectric Constant; Sensor Height -2in, Real Dielectric Constant; Sensor Height -4in, Real Dielectric Constant; Sensor Height -8in, Real Dielectric Constant; Sensor Height -20in, Real Dielectric Constant; Sensor Height -40in, Battery Voltage, Battery Voltage, Wind Direction Average, Wind Speed Maximum, Wind Speed Average, Relative Humidity; Vaisala, Barometric Pressure; Sampled 10 minutes, Solar Radiation Average, Dew Point Temperature, Vapor Pressure, Relative Humidity Minimum, Relative Humidity Maximum]
Comparing value for field attributeUnit
Doc Value: [inches, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, inches, percent, percent, percent, percent, percent, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, gram, gram, gram, gram, gram, unitless, unitless, unitless, unitless, unitless, volt, volt, degrees, mph, mph, percent, inches, watt, degrees Celsius, kPa, percent, percent]
Solr Value: [inches, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, inches, percent, percent, percent, percent, percent, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, degrees Celsius, gram, gram, gram, gram, gram, unitless, unitless, unitless, unitless, unitless, volt, volt, degrees, mph, mph, percent, inches, watt, degrees Celsius, kPa, percent, percent]
Comparing value for field attribute
Doc Value: [FID Internal feature number., Shape Feature geometry., site_id NRCS Internal Site Number, date Date, time Time (Pacific Standard Time), preci_1 Precipitation Accumulated inches, tobsi_1 Air Temperature Observed degrees Celsius, tmaxh_1 Air Temperature Maximum degrees Celsius, tminh_1 Air Temperature Minimum degrees Celsius, tavgh_1 Air Temperature Average degrees Celsius, prcph_1 Precipitation Increment inches, smsi_1_2l Soil Moisture Percent; Sensor Height -2in percent, smsi_1_4l Soil Moisture Percent; Sensor Height -4in percent, smsi_1_8l Soil Moisture Percent; Sensor Height -8in percent, smsi_1_20l Soil Moisture Percent; Sensor Height -20in percent, smsi_1_40l Soil Moisture Percent; Sensor Height -40in percent, stoi_1_2 Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_1_4 Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_1_8 Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_1_20 Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_1_40 Soil Temperature Observed; Sensor Height -40in degrees Celsius, stoi_2_2 Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_2_4 Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_2_8 Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_2_20 Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_2_40 Soil Temperature Observed; Sensor Height -40in degrees Celsius, sali_1_2 Salinity; Sensor Height -2in gram, sali_1_4 Salinity; Sensor Height -4in gram, sali_1_8 Salinity; Sensor Height -8in gram, sali_1_20 Salinity; Sensor Height -20in gram, sali_1_40 Salinity; Sensor Height -40in gram, rdci_1_2 Real Dielectric Constant; Sensor Height -2in unitless, rdci_1_4 Real Dielectric Constant; Sensor Height -4in unitless, rdci_1_8 Real Dielectric Constant; Sensor Height -8in unitless, rdci_1_20 Real Dielectric Constant; Sensor Height -20in unitless, rdci_1_40 Real Dielectric Constant; Sensor Height -40in unitless, batti_1 Battery Voltage volt, batti_2 Battery Voltage volt, wdirvh_1 Wind Direction Average degrees, wspdxh_1mx Wind Speed Maximum mph, wspdvh1 Wind Speed Average mph, rhumi_1 Relative Humidity; Vaisala percent, presi_1 Barometric Pressure; Sampled 10 minutes inches, sradvh_1 Solar Radiation Average watt, dptph_1 Dew Point Temperature degrees Celsius, pvpvh_1 Vapor Pressure kPa, rhumnh_1 Relative Humidity Minimum percent, rhumxh_1 Relative Humidity Maximum percent]
Solr Value: [FID Internal feature number., Shape Feature geometry., site_id NRCS Internal Site Number, date Date, time Time (Pacific Standard Time), preci_1 Precipitation Accumulated inches, tobsi_1 Air Temperature Observed degrees Celsius, tmaxh_1 Air Temperature Maximum degrees Celsius, tminh_1 Air Temperature Minimum degrees Celsius, tavgh_1 Air Temperature Average degrees Celsius, prcph_1 Precipitation Increment inches, smsi_1_2l Soil Moisture Percent; Sensor Height -2in percent, smsi_1_4l Soil Moisture Percent; Sensor Height -4in percent, smsi_1_8l Soil Moisture Percent; Sensor Height -8in percent, smsi_1_20l Soil Moisture Percent; Sensor Height -20in percent, smsi_1_40l Soil Moisture Percent; Sensor Height -40in percent, stoi_1_2 Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_1_4 Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_1_8 Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_1_20 Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_1_40 Soil Temperature Observed; Sensor Height -40in degrees Celsius, stoi_2_2 Soil Temperature Observed; Sensor Height -2in degrees Celsius, stoi_2_4 Soil Temperature Observed; Sensor Height -4in degrees Celsius, stoi_2_8 Soil Temperature Observed; Sensor Height -8in degrees Celsius, stoi_2_20 Soil Temperature Observed; Sensor Height -20in degrees Celsius, stoi_2_40 Soil Temperature Observed; Sensor Height -40in degrees Celsius, sali_1_2 Salinity; Sensor Height -2in gram, sali_1_4 Salinity; Sensor Height -4in gram, sali_1_8 Salinity; Sensor Height -8in gram, sali_1_20 Salinity; Sensor Height -20in gram, sali_1_40 Salinity; Sensor Height -40in gram, rdci_1_2 Real Dielectric Constant; Sensor Height -2in unitless, rdci_1_4 Real Dielectric Constant; Sensor Height -4in unitless, rdci_1_8 Real Dielectric Constant; Sensor Height -8in unitless, rdci_1_20 Real Dielectric Constant; Sensor Height -20in unitless, rdci_1_40 Real Dielectric Constant; Sensor Height -40in unitless, batti_1 Battery Voltage volt, batti_2 Battery Voltage volt, wdirvh_1 Wind Direction Average degrees, wspdxh_1mx Wind Speed Maximum mph, wspdvh1 Wind Speed Average mph, rhumi_1 Relative Humidity; Vaisala percent, presi_1 Barometric Pressure; Sampled 10 minutes inches, sradvh_1 Solar Radiation Average watt, dptph_1 Dew Point Temperature degrees Celsius, pvpvh_1 Vapor Pressure kPa, rhumnh_1 Relative Humidity Minimum percent, rhumxh_1 Relative Humidity Maximum percent]
Comparing value for field geohash_1
Doc Value: [9]
Solr Value: [9]
Comparing value for field geohash_2
Doc Value: [9w]
Solr Value: [9w]
Comparing value for field geohash_3
Doc Value: [9wk]
Solr Value: [9wk]
Comparing value for field geohash_4
Doc Value: [9wkt]
Solr Value: [9wkt]
Comparing value for field geohash_5
Doc Value: [9wkt6]
Solr Value: [9wkt6]
Comparing value for field geohash_6
Doc Value: [9wkt6b]
Solr Value: [9wkt6b]
Comparing value for field geohash_7
Doc Value: [9wkt6bb]
Solr Value: [9wkt6bb]
Comparing value for field geohash_8
Doc Value: [9wkt6bb8]
Solr Value: [9wkt6bb8]
Comparing value for field geohash_9
Doc Value: [9wkt6bb8x]
Solr Value: [9wkt6bb8x]
Comparing value for field dataUrl
Doc Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Solr Value: https://cn.dataone.org/cn/v2/resolve/68e96cf6-fb14-42aa-bbea-6da546ccb507-scan_201407_2172.xml
Tests run: 4, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 7.452 sec - in org.dataone.cn.index.SolrIndexFieldTest
Running org.dataone.cn.index.SolrRangeQueryTest
Creating dataDir: /tmp/org.dataone.cn.index.SolrRangeQueryTest_C8477E0EC8A9AA77-001/init-core-data-001
[ WARN] 2017-11-21 22:07:27,401 (org.apache.solr.core.SolrResourceLoader:addToClassLoader:191) Can't find (or read) directory to add to classloader: lib (resolved as: /var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/lib).
[ WARN] 2017-11-21 22:07:27,679 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class SpatialRecursivePrefixTreeFieldType
[ WARN] 2017-11-21 22:07:27,680 (org.apache.solr.schema.AbstractSpatialFieldType:init:128) units parameter is deprecated, please use distanceUnits instead for field types with class BBoxField
[ WARN] 2017-11-21 22:07:27,703 (org.apache.solr.core.SolrCore:initIndex:541) [collection1] Solr index directory '/var/lib/jenkins/jobs/tmp index processor job/workspace/./src/test/resources/org/dataone/cn/index/resources/solr5home/collection1/data/index' doesn't exist. Creating new index...
[ WARN] 2017-11-21 22:07:27,721 (org.apache.solr.rest.ManagedResource:reloadFromStorage:182) No stored data found for /schema/analysis/synonyms/english
Tests run: 3, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 2.461 sec - in org.dataone.cn.index.SolrRangeQueryTest
Running org.dataone.cn.index.HazelcastClientFactoryTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.016 sec - in org.dataone.cn.index.HazelcastClientFactoryTest
Running org.dataone.cn.index.SolrFieldIsotc211Test
Compared fields for: rightsHolder
Expected values: [NODC]
Actual values: [NODC]
Compared fields for: submitter
Expected values: [NODC]
Actual values: [NODC]
Compared fields for: fileName
Expected values: []
Actual values: []
Compared fields for: dateUploaded
Expected values: [2015-05-08T01:47:41.356Z]
Actual values: [2015-05-08T01:47:41.356Z]
Compared fields for: seriesId
Expected values: []
Actual values: []
Compared fields for: obsoletedBy
Expected values: []
Actual values: []
Compared fields for: replicaMN
Expected values: []
Actual values: []
Compared fields for: changePermission
Expected values: []
Actual values: []
Compared fields for: readPermission
Expected values: [public]
Actual values: [public]
Compared fields for: checksum
Expected values: [ee5d7c92a8c3285f49a8f216f929f14c6b51d5a3]
Actual values: [ee5d7c92a8c3285f49a8f216f929f14c6b51d5a3]
Compared fields for: replicationAllowed
Expected values: [true]
Actual values: [true]
Compared fields for: isPublic
Expected values: [true]
Actual values: [true]
Compared fields for: id
Expected values: [gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR17_L]
Actual values: [gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR17_L]
Compared fields for: formatType
Expected values: [METADATA]
Actual values: [METADATA]
Compared fields for: authoritativeMN
Expected values: [urn:node:NODC]
Actual values: [urn:node:NODC]
Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/gov.noaa.nodc%3AGHRSST-NEODAAS-L2P-AVHRR17_L]
Actual values: [https://cn.dataone.org/cn/v2/resolve/gov.noaa.nodc%3AGHRSST-NEODAAS-L2P-AVHRR17_L]
Compared fields for: dateModified
Expected values: [2015-05-08T01:47:41.391Z]
Actual values: [2015-05-08T01:47:41.391Z]
Compared fields for: mediaType
Expected values: []
Actual values: []
Compared fields for: checksumAlgorithm
Expected values: [SHA-1]
Actual values: [SHA-1]
Compared fields for: mediaTypeProperty
Expected values: []
Actual values: []
Compared fields for: numberReplicas
Expected values: [2]
Actual values: [2]
Compared fields for: obsoletes
Expected values: []
Actual values: []
Compared fields for: replicaVerifiedDate
Expected values: []
Actual values: []
Compared fields for: formatId
Expected values: [http://www.isotc211.org/2005/gmd]
Actual values: [http://www.isotc211.org/2005/gmd]
Compared fields for: preferredReplicationMN
Expected values: []
Actual values: []
Compared fields for: size
Expected values: [22406]
Actual values: [22406]
Compared fields for: datasource
Expected values: [urn:node:NODC]
Actual values: [urn:node:NODC]
Compared fields for: blockedReplicationMN
Expected values: []
Actual values: []
Compared fields for: writePermission
Expected values: []
Actual values: []
Compared fields for: serviceType
Expected values: [HTTP, HTTP, THREDDS, DAP, HTTP, FTP]
Actual values: [HTTP, HTTP, THREDDS, DAP, HTTP, FTP]
Compared fields for: serviceOutput
Expected values: [netCDF-3]
Actual values: [netCDF-3]
Compared fields for: keywords
Expected values: [0046179, 0046210, 0046244, 0046274, 0046313, 0046344, 0046375, 0046406, 0046443, 0046470, 0046502, 0046532, 0046565, 0046592, 0046629, 0046659, 0046690, 0046720, 0046764, 0046794, 0046824, 0046856, 0046886, 0046913, 0046942, 0046972, 0047003, 0047033, 0047066, 0047096, 0047126, 0047155, 0047182, 0048372, 0048399, 0048429, 0048460, 0048488, 0048504, 0048550, 0048579, 0048608, 0048637, 0048668, 0048699, 0048740, 0048767, 0048793, 0048819, 0048847, 0048873, 0048904, 0048932, 0048961, 0048988, 0049016, 0049044, 0049072, 0049098, 0049126, 0049154, 0049178, 0049202, 0049230, 0049258, 0049286, 0049295, 0049338, 0049362, 0049388, 0049413, 0049445, 0049474, 0049531, 0049576, 0049605, 0049633, 0049663, 0049769, 0049796, 0049824, 0049851, 0049918, 0049945, 0049999, 0050026, 0050053, 0050080, 0050107, 0050134, 0050160, 0050183, 0050219, 0050249, 0050277, 0050300, 0050332, 0050359, 0050387, 0050413, 0050439, 0050461, 0050549, 0050572, 0050597, 0050623, 0050648, 0050718, 0050765, 0050829, 0050853, 0050878, 0050903, 0050928, 0050950, 0050990, 0051014, 0051039, 0051094, 0051119, 0051144, 0051169, 0051194, 0051216, 0051241, 0051266, 0051291, 0051316, 0051341, 0051366, 0051391, 0051418, 0051443, 0051470, 0051492, 0051521, 0051546, 0051575, 0051600, 0051627, 0051652, 0051677, 0051701, 0051726, 0051748, 0051773, 0051798, 0051996, 0052051, 0052084, 0052112, 0052139, 0052164, 0052189, 0052215, 0052238, 0052262, 0052286, 0052312, 0052335, 0052360, 0052386, 0052421, 0052446, 0052494, 0052518, 0052541, 0052566, 0052595, 0052616, 0052638, 0052668, 0052693, 0052718, 0052744, 0052787, 0052810, 0052833, 0052859, 0052889, 0052916, 0052943, 0052966, 0052999, 0053022, 0053084, 0053108, 0053128, 0053152, 0053176, 0053199, 0053232, 0053251, 0053295, 0053326, 0053348, 0053372, 0053396, 0053430, 0053454, 0053478, 0053512, 0053539, 0053565, 0053591, 0053618, 0053645, 0053678, 0053705, 0053733, 0053760, 0053790, 0053817, 0053842, 0053869, 0053895, 0053922, 0053948, 0053972, 0053996, 0054019, 0054045, 0054071, 0054100, 0054127, 0054161, 0054188, 0054338, 0054367, 0054398, 0054427, 0054455, 0054482, 0054518, 0054547, 0054579, 0054608, 0054637, 0054666, 0054694, 0054749, 0054793, 0054822, 0054914, 0054942, 0054993, 0055021, 0055052, 0055081, 0055117, 0055146, 0055178, 0055204, 0055231, 0055258, 0055315, 0055343, 0055428, 0055458, 0055488, 0055518, 0055548, 0055577, 0055607, 0055637, 0055668, 0055695, 0055725, 0055755, 0055852, 0055883, 0055912, 0055940, 0055968, 0055996, 0056024, 0056053, 0056085, 0056115, 0056146, 0056176, 0056225, 0056255, 0056287, 0056317, 0056348, 0056378, 0056412, 0056442, 0056470, 0056500, 0056527, 0056560, 0056590, 0056618, 0056645, 0056674, 0056703, 0056738, 0056767, 0056798, 0056827, 0056862, 0056891, 0056923, 0056952, 0056978, 0057004, 0057032, 0057059, 0057088, 0057117, 0057149, 0057178, 0057208, 0057237, 0057266, 0057295, 0057326, 0057355, 0057388, 0057417, 0057444, 0057480, 0057509, 0057538, 0057567, 0057599, 0057628, 0057670, 0057699, 0057727, 0057755, 0057881, 0057909, 0057939, 0057964, 0057989, 0058017, 0058047, 0058075, 0058109, 0058135, 0058163, 0058191, 0058220, 0058248, 0058280, 0058308, 0058336, 0058363, 0058389, 0058416, 0058447, 0058475, 0058505, 0058533, 0058561, 0058589, 0058617, 0058642, 0058669, 0058693, 0058720, 0058744, 0058768, 0058792, 0058818, 0058865, 0058889, 0058914, 0058938, 0058965, 0058992, 0059022, 0059049, 0059078, 0059105, 0059136, 0059162, 0059187, 0059209, 0059232, 0059257, 0059283, 0059308, 0059332, 0059367, 0059398, 0059425, 0059450, 0059475, 0059501, 0059528, 0059554, 0059584, 0059609, 0059635, 0059658, 0059681, 0059704, 0059717, 0059721, 0059727, 0059791, 0059792, 0059800, 0059804, 0059828, 0059833, 0060201, 0060228, 0060252, 0060275, 0060321, 0060344, 0060367, 0060416, 0060439, 0060462, 0060488, 0060514, 0060540, 0060566, 0060592, 0060616, 0060641, 0060666, 0060695, 0060720, 0060767, 0060791, 0060817, 0060841, 0060866, 0060891, 0060916, 0060940, 0060970, 0060996, 0061021, 0061051, 0061076, 0061102, 0061128, 0061159, 0061185, 0061214, 0061240, 0061268, 0061294, 0061320, 0061346, 0061373, 0061399, 0061428, 0061454, 0061481, 0061507, 0061533, 0061559, 0061592, 0061618, 0061644, 0061669, 0061695, 0061721, 0061758, 0061784, 0061811, 0061839, 0061865, 0061889, 0061913, 0061938, 0061962, 0061990, 0062014, 0062045, 0062069, 0062094, 0062118, 0062145, 0062170, 0062196, 0062220, 0062244, 0062267, 0062293, 0062317, 0062343, 0062367, 0062391, 0062415, 0062442, 0062476, 0062493, 0062521, 0062547, 0063068, 0063079, 0063090, 0063101, 0063111, 0063121, 0063131, 0063141, 0063151, 0063162, 0063173, 0063197, 0063209, 0063221, 0063233, 0063249, 0063277, 0063289, 0063304, 0063316, 0063328, 0063340, 0063352, 0063364, 0063376, 0063390, 0063402, 0063414, 0063436, 0063449, 0063462, 0063474, 0063487, 0063500, 0063513, 0063541, 0063554, 0063567, 0063589, 0063602, 0063619, 0063792, 0063839, 0063863, 0063908, 0063979, 0064188, 0064470, 0064678, 0065176, 0066694, 0073287, 0073288, 0073291, 0073294, 0087331, 0114635, 0114637, 0122474, SEA SURFACE TEMPERATURE, AVHRR-3, satellite data, NOAA-17 SATELLITE, NERC Earth Observation Data Acquisition and Analysis Service, US NASA; Jet Propulsion Laboratory; Physical Oceanography Distributed Active Archive Center, Group for High Resolution Sea Surface Temperature (GHRSST), World-Wide Distribution, oceanography, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature > Bulk Sea Surface Temperature, Northeast Atlantic]
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Compared fields for: endDate
Expected values: [2010-05-18T00:00:00.000Z]
Actual values: [2010-05-18T00:00:00.000Z]
Compared fields for: authorSurName
Expected values: [Peter Miller]
Actual values: [Peter Miller]
Compared fields for: origin
Expected values: [NEODAAS]
Actual values: [NEODAAS]
Compared fields for: serviceEndpoint
Expected values: [http://www.nodc.noaa.gov/geoportal/rest/find/document?searchText=fileIdentifier%3AGHRSST-NEODAAS-L2P-AVHRR17_L*%20OR%20fileIdentifier%3ANEODAAS-L2P-AVHRR17_L*&start=1&max=100&f=SearchPage, http://data.nodc.noaa.gov/cgi-bin/iso?id=gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR17_L, http://data.nodc.noaa.gov/thredds/catalog/ghrsst/L2P/AVHRR17_L/NEODAAS/, http://data.nodc.noaa.gov/opendap/ghrsst/L2P/AVHRR17_L/NEODAAS/, http://data.nodc.noaa.gov/ghrsst/L2P/AVHRR17_L/NEODAAS/, ftp://ftp.nodc.noaa.gov/pub/data.nodc/ghrsst/L2P/AVHRR17_L/NEODAAS/]
Actual values: [http://www.nodc.noaa.gov/geoportal/rest/find/document?searchText=fileIdentifier%3AGHRSST-NEODAAS-L2P-AVHRR17_L*%20OR%20fileIdentifier%3ANEODAAS-L2P-AVHRR17_L*&start=1&max=100&f=SearchPage, http://data.nodc.noaa.gov/cgi-bin/iso?id=gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR17_L, http://data.nodc.noaa.gov/thredds/catalog/ghrsst/L2P/AVHRR17_L/NEODAAS/, http://data.nodc.noaa.gov/opendap/ghrsst/L2P/AVHRR17_L/NEODAAS/, http://data.nodc.noaa.gov/ghrsst/L2P/AVHRR17_L/NEODAAS/, ftp://ftp.nodc.noaa.gov/pub/data.nodc/ghrsst/L2P/AVHRR17_L/NEODAAS/]
Compared fields for: title
Expected values: [GHRSST Level 2P North Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite produced by NEODAAS (GDS version 1)]
Actual values: [GHRSST Level 2P North Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite produced by NEODAAS (GDS version 1)]
Compared fields for: northBoundCoord
Expected values: [90]
Actual values: [90]
Compared fields for: investigator
Expected values: [Peter Miller, Edward M. Armstrong, NEODAAS]
Actual values: [Peter Miller, Edward M. Armstrong, NEODAAS]
Compared fields for: serviceCoupling
Expected values: [tight]
Actual values: [tight]
Compared fields for: westBoundCoord
Expected values: [-60]
Actual values: [-60]
Compared fields for: authorSurNameSort
Expected values: [Peter Miller]
Actual values: [Peter Miller]
Compared fields for: text
Expected values: [gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR17_L eng utf8 series US National Oceanographic Data Center Data Officer 301-713-3272 301-713-3302 1315 East-West Highway, SSMC3, 4th floor Silver Spring MD 20910-3282 USA NODC.DataOfficer@noaa.gov http://www.nodc.noaa.gov/ HTTP Standard Internet browser US National Oceanographic Data Center website Main NODC website providing links to the NODC Geoportal and access links to data and data services. information custodian Peter Miller NEODAAS > NERC Earth Observation Data Acquisition and Analysis Service Technical Contact +44 1752 633485 +44 1752 633101 info@nospam.neodaas.ac.uk Phone/FAX/E-mail pointOfContact 2015-02-04T21:33:10 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) 2 column 1.1 row 1.1 area true GHRSST Level 2P North Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite produced by NEODAAS (GDS version 1) Sea surface temperature from AVHRR 2014-10-02 publication 1 NODC Collection Identifier US National Oceanographic Data Center resourceProvider gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR17_L US National Oceanographic Data Center 301-713-3277 301-713-3302 1315 East-West Highway, SSMC3, 4th floor Silver Spring MD 20910-3282 USA NODC.DataOfficer@noaa.gov http://www.nodc.noaa.gov/ HTTP Standard Internet browser US National Oceanographic Data Center website Main NODC website providing links to the NODC Geoportal and access links to data and data services. information publisher Edward M. Armstrong US NASA; Jet Propulsion Laboratory (818) 393-6710 MS 300/320 4800 Oak Grove Drive Pasadena CA 91109 USA edward.m.armstrong@jpl.nasa.gov resourceProvider US NASA; Jet Propulsion Laboratory; Physical Oceanography Distributed Active Archive Center 626-744-5508 4800 Oak Grove Drive Pasadena CA 91109 USA podaac@podaac.jpl.nasa.gov http://podaac.jpl.nasa.gov/index.html HTTP Standard Internet browser NASA Jet Propulsion Laboratory PO DAAC website Institution web page information resourceProvider NERC Earth Observation Data Acquisition and Analysis Service +44 1752 633485 Plymouth Marine Laboratory Prospect Place Plymouth Devon PL1 3DH GBR info@neodaas.ac.uk http://www.neodaas.ac.uk/ HTTP Standard Internet browser NEODAAS website Institution web page information originator tableDigital A Level 2P swath-based Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic area from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 platform (launched on 24 June 2002). This particular dataset is produced by the Natural Environment Research Council (NERC) Earth Observation Data Acquisition and Analysis Service (NEODAAS) in collaboration with the National Centre for Ocean Forecasting (NCOF) in the United Kingdom. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day or more (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km.NEODAAS-Dundee acquires approximately 15 AVHRR direct broadcast High Resolution Picture Transmission (HRPT) passes per day over NW Europe and the Arctic. Each pass is approximately 15 minutes duration. These are immediately transferred to NEODAAS-Plymouth where they are processed into sea surface temperature (SST) products and converted to L2P specifications. BASIC RESEARCH Processed by Panorama at PML onGoing US National Oceanographic Data Center NODC User Services 301-713-3277 301-713-3302 1315 East-West Highway, SSMC3, 4th floor Silver Spring MD 20910-3282 USA NODC.Services@noaa.gov http://www.nodc.noaa.gov/ HTTP Standard Internet browser US National Oceanographic Data Center website Main NODC website providing links to the NODC Geoportal and access links to data and data services. information 8:30-6:00 PM, EST pointOfContact Peter Miller NEODAAS > NERC Earth Observation Data Acquisition and Analysis Service +44 1752 633485 +44 1752 633101 info@nospam.neodaas.ac.uk http://www.neodaas.ac.uk/faq/ pointOfContact asNeeded http://data.nodc.noaa.gov/cgi-bin/gfx?id=gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR17_L Preview graphic PNG 0046179 0046210 0046244 0046274 0046313 0046344 0046375 0046406 0046443 0046470 0046502 0046532 0046565 0046592 0046629 0046659 0046690 0046720 0046764 0046794 0046824 0046856 0046886 0046913 0046942 0046972 0047003 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0063436 0063449 0063462 0063474 0063487 0063500 0063513 0063541 0063554 0063567 0063589 0063602 0063619 0063792 0063839 0063863 0063908 0063979 0064188 0064470 0064678 0065176 0066694 0073287 0073288 0073291 0073294 0087331 0114635 0114637 0122474 NODC ACCESSION NUMBER 2014-10-02 publication SEA SURFACE TEMPERATURE theme NODC DATA TYPES THESAURUS AVHRR-3 instrument NODC INSTRUMENT TYPES THESAURUS satellite data theme NODC OBSERVATION TYPES THESAURUS NOAA-17 SATELLITE platform NODC PLATFORM NAMES THESAURUS NERC Earth Observation Data Acquisition and Analysis Service dataCenter NODC COLLECTING INSTITUTION NAMES THESAURUS US NASA; Jet Propulsion Laboratory; Physical Oceanography Distributed Active Archive Center dataCenter NODC SUBMITTING INSTITUTION NAMES THESAURUS Group for High Resolution Sea Surface Temperature (GHRSST) project NODC PROJECT NAMES THESAURUS World-Wide Distribution place NODC SEA AREA NAMES THESAURUS oceanography theme WMO_CategoryCode 2012-09-15 publication Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature > Bulk Sea Surface Temperature theme NASA/GCMD Earth Science Keywords Olsen, L.M., G. Major, K. Shein, J. Scialdone, S. Ritz, T. Stevens, M. Morahan, A. Aleman, R. Vogel, S. Leicester, H. Weir, M. Meaux, S. Grebas, C. Solomon, M. Holland, T. Northcutt, R. A. Restrepo, R. Bilodeau (2013). NASA/Global Change Master Directory (GCMD) Earth Science Keywords. Version 8.0.0.0.0 Northeast Atlantic place NASA/GCMD Location Keywords Olsen, L.M., G. Major, K. Shein, J. Scialdone, S. Ritz, T. Stevens, M. Morahan, A. Aleman, R. Vogel, S. Leicester, H. Weir, M. Meaux, S. Grebas, C. Solomon, M. Holland, T. Northcutt, R. A. Restrepo, R. Bilodeau (2013). NASA/Global Change Master Directory (GCMD) Earth Science Keywords. Version 8.0.0.0.0 Please note: NOAA and NODC make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NODC cannot assume liability for any damages caused by any errors or omissions in these data. accessLevel: Public otherRestrictions Cite as: NERC Earth Observation Data Acquisition and Analysis Service (NEODAAS) (2008). GHRSST Level 2P North Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite produced by NEODAAS (GDS version 1). National Oceanographic Data Center, NOAA. Dataset. [access date] otherRestrictions None GHRSST Level 2P North Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite produced by NEODAAS Sea surface temperature from AVHRR 20080526 creation 1 NEODAAS http://www.neodaas.ac.uk/faq/ originator NEODAAS NERC Earth Observation Data Acquisition and Analysis Service, UK publisher collection userGuide Portal to the GHRSST Global Data Assembly Center and data access Group for High Resolution Sea Surface Temperature http://ghrsst.jpl.nasa.gov HTTP Standard Internet browser Portal to the GHRSST Global Data Assembly Center and data access Portal to the GHRSST Global Data Assembly Center and data access custodian crossReference collection GHRSST Project homepage Group for High Resolution Sea Surface Temperature http://www.ghrsst.org HTTP Standard Internet browser GHRSST Project homepage GHRSST Project homepage custodian crossReference collection Web Service (PO.DAAC Labs) (Search Granule) Group for High Resolution Sea Surface Temperature http://podaac.jpl.nasa.gov/ws/search/granule/?datasetId=PODAAC-GH17L-2PS01&apidoc HTTP Standard Internet browser Web Service (PO.DAAC Labs) (Search Granule) custodian crossReference collection grid eng utf8 oceans environment biota climatologyMeteorologyAtmosphere -60 60 24 90 2008-09-02 2010-05-18 referenceInformation lat float lon float time int US National Oceanographic Data Center NODC User Services 301-713-3277 301-713-3302 1315 East-West Highway, SSMC3, 4th floor Silver Spring MD 20910-3282 USA NODC.Services@noaa.gov 8:30-6:00 PM, EST pointOfContact Digital data may be downloaded from NODC at no charge in most cases. For custom orders of digital data or to obtain a copy of analog materials, please contact NODC User Services for information about current fees. Data may be searched and downloaded using online services provided by the NODC using the online resource URLs in this record. Contact NODC User Services for custom orders. When requesting data from the NODC, the desired data set may be referred to by the NODC Accession Number listed in this metadata record. netCDF netCDF-3 BZIP2 http://www.nodc.noaa.gov/geoportal/rest/find/document?searchText=fileIdentifier%3AGHRSST-NEODAAS-L2P-AVHRR17_L*%20OR%20fileIdentifier%3ANEODAAS-L2P-AVHRR17_L*&start=1&max=100&f=SearchPage HTTP Standard Internet browser Granule Search Granule Search search http://data.nodc.noaa.gov/cgi-bin/iso?id=gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR17_L HTTP Standard Internet browser Details Navigate directly to the URL for a descriptive web page with download links. information http://data.nodc.noaa.gov/thredds/catalog/ghrsst/L2P/AVHRR17_L/NEODAAS/ THREDDS Standard Internet browsers can browse THREDDS Data Servers and specialized THREDDS software can enable more sophisticated data access and visualizations. THREDDS These data are available through a variety of services via a THREDDS (Thematic Real-time Environmental Distributed Data Services) Data Server (TDS). The base URL of NODC's TDS is http://data.nodc.noaa.gov/thredds. Depending on the dataset, the TDS can provide WMS, WCS, DAP, HTTP, and other data access and metadata services as well. For more information on the TDS, see http://www.unidata.ucar.edu/software/thredds/current/tds/. download http://data.nodc.noaa.gov/opendap/ghrsst/L2P/AVHRR17_L/NEODAAS/ DAP Standard Internet browsers can browse OPeNDAP servers and specialized OPeNDAP software can enable more sophisticated data access and visualizations. OPeNDAP These data are available through the Data Access Protocol (DAP) via an OPeNDAP Hyrax server. The base URL of NODC's Hyrax server is http://data.nodc.noaa.gov/opendap/. For a listing of OPeNDAP clients which may be used to access OPeNDAP-enabled data sets, please see the OPeNDAP website at http://opendap.org/. download http://data.nodc.noaa.gov/ghrsst/L2P/AVHRR17_L/NEODAAS/ HTTP Standard Internet browser Download Navigate directly to the URL for data access and direct download. download ftp://ftp.nodc.noaa.gov/pub/data.nodc/ghrsst/L2P/AVHRR17_L/NEODAAS/ FTP Any FTP client FTP These data are available through the File Transfer Protocol (FTP). The base URL of NODC's FTP server is ftp://ftp.nodc.noaa.gov/ and you may use any FTP client to download these data. download asNeeded Combined metadata from JPL and NODC DOC/NOAA/NESDIS/NODC > National Oceanographic Data Center, NESDIS, NOAA, U.S. Department of Commerce custodian AVHRR-3 > Advanced Very High Resolution Radiometer-3 sensor The AVHRR is a radiation-detection imager that can be used for remotely determining cloud cover and the surface temperature. Note that the term surface can mean the surface of the Earth, the upper surfaces of clouds, or the surface of a body of water. NOAA-17 > National Oceanic & Atmospheric Administration-17 The POES satellite system offers the advantage of daily global coverage, with morning and afternoon orbits that deliver global data, for improvement of weather forecasting. The information received includes cloud cover, storm location, temperature, and heat balance in the earth's atmosphere. NEODAAS http://www.neodaas.ac.uk/faq/ sponsor NASA/JPL/PODAAC > Physical Oceanography Distributed Active Archive Center, Jet Propulsion Laboratory, NASA http://podaac.jpl.nasa.gov information sponsor gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR17_L]
Actual values: [gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR17_L eng utf8 series US National Oceanographic Data Center Data Officer 301-713-3272 301-713-3302 1315 East-West Highway, SSMC3, 4th floor Silver Spring MD 20910-3282 USA NODC.DataOfficer@noaa.gov http://www.nodc.noaa.gov/ HTTP Standard Internet browser US National Oceanographic Data Center website Main NODC website providing links to the NODC Geoportal and access links to data and data services. information custodian Peter Miller NEODAAS > NERC Earth Observation Data Acquisition and Analysis Service Technical Contact +44 1752 633485 +44 1752 633101 info@nospam.neodaas.ac.uk Phone/FAX/E-mail pointOfContact 2015-02-04T21:33:10 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) 2 column 1.1 row 1.1 area true GHRSST Level 2P North Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite produced by NEODAAS (GDS version 1) Sea surface temperature from AVHRR 2014-10-02 publication 1 NODC Collection Identifier US National Oceanographic Data Center resourceProvider gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR17_L US National Oceanographic Data Center 301-713-3277 301-713-3302 1315 East-West Highway, SSMC3, 4th floor Silver Spring MD 20910-3282 USA NODC.DataOfficer@noaa.gov http://www.nodc.noaa.gov/ HTTP Standard Internet browser US National Oceanographic Data Center website Main NODC website providing links to the NODC Geoportal and access links to data and data services. information publisher Edward M. Armstrong US NASA; Jet Propulsion Laboratory (818) 393-6710 MS 300/320 4800 Oak Grove Drive Pasadena CA 91109 USA edward.m.armstrong@jpl.nasa.gov resourceProvider US NASA; Jet Propulsion Laboratory; Physical Oceanography Distributed Active Archive Center 626-744-5508 4800 Oak Grove Drive Pasadena CA 91109 USA podaac@podaac.jpl.nasa.gov http://podaac.jpl.nasa.gov/index.html HTTP Standard Internet browser NASA Jet Propulsion Laboratory PO DAAC website Institution web page information resourceProvider NERC Earth Observation Data Acquisition and Analysis Service +44 1752 633485 Plymouth Marine Laboratory Prospect Place Plymouth Devon PL1 3DH GBR info@neodaas.ac.uk http://www.neodaas.ac.uk/ HTTP Standard Internet browser NEODAAS website Institution web page information originator tableDigital A Level 2P swath-based Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic area from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 platform (launched on 24 June 2002). This particular dataset is produced by the Natural Environment Research Council (NERC) Earth Observation Data Acquisition and Analysis Service (NEODAAS) in collaboration with the National Centre for Ocean Forecasting (NCOF) in the United Kingdom. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day or more (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km.NEODAAS-Dundee acquires approximately 15 AVHRR direct broadcast High Resolution Picture Transmission (HRPT) passes per day over NW Europe and the Arctic. Each pass is approximately 15 minutes duration. These are immediately transferred to NEODAAS-Plymouth where they are processed into sea surface temperature (SST) products and converted to L2P specifications. BASIC RESEARCH Processed by Panorama at PML onGoing US National Oceanographic Data Center NODC User Services 301-713-3277 301-713-3302 1315 East-West Highway, SSMC3, 4th floor Silver Spring MD 20910-3282 USA NODC.Services@noaa.gov http://www.nodc.noaa.gov/ HTTP Standard Internet browser US National Oceanographic Data Center website Main NODC website providing links to the NODC Geoportal and access links to data and data services. information 8:30-6:00 PM, EST pointOfContact Peter Miller NEODAAS > NERC Earth Observation Data Acquisition and Analysis Service +44 1752 633485 +44 1752 633101 info@nospam.neodaas.ac.uk http://www.neodaas.ac.uk/faq/ pointOfContact asNeeded http://data.nodc.noaa.gov/cgi-bin/gfx?id=gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR17_L Preview graphic PNG 0046179 0046210 0046244 0046274 0046313 0046344 0046375 0046406 0046443 0046470 0046502 0046532 0046565 0046592 0046629 0046659 0046690 0046720 0046764 0046794 0046824 0046856 0046886 0046913 0046942 0046972 0047003 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0063436 0063449 0063462 0063474 0063487 0063500 0063513 0063541 0063554 0063567 0063589 0063602 0063619 0063792 0063839 0063863 0063908 0063979 0064188 0064470 0064678 0065176 0066694 0073287 0073288 0073291 0073294 0087331 0114635 0114637 0122474 NODC ACCESSION NUMBER 2014-10-02 publication SEA SURFACE TEMPERATURE theme NODC DATA TYPES THESAURUS AVHRR-3 instrument NODC INSTRUMENT TYPES THESAURUS satellite data theme NODC OBSERVATION TYPES THESAURUS NOAA-17 SATELLITE platform NODC PLATFORM NAMES THESAURUS NERC Earth Observation Data Acquisition and Analysis Service dataCenter NODC COLLECTING INSTITUTION NAMES THESAURUS US NASA; Jet Propulsion Laboratory; Physical Oceanography Distributed Active Archive Center dataCenter NODC SUBMITTING INSTITUTION NAMES THESAURUS Group for High Resolution Sea Surface Temperature (GHRSST) project NODC PROJECT NAMES THESAURUS World-Wide Distribution place NODC SEA AREA NAMES THESAURUS oceanography theme WMO_CategoryCode 2012-09-15 publication Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature > Bulk Sea Surface Temperature theme NASA/GCMD Earth Science Keywords Olsen, L.M., G. Major, K. Shein, J. Scialdone, S. Ritz, T. Stevens, M. Morahan, A. Aleman, R. Vogel, S. Leicester, H. Weir, M. Meaux, S. Grebas, C. Solomon, M. Holland, T. Northcutt, R. A. Restrepo, R. Bilodeau (2013). NASA/Global Change Master Directory (GCMD) Earth Science Keywords. Version 8.0.0.0.0 Northeast Atlantic place NASA/GCMD Location Keywords Olsen, L.M., G. Major, K. Shein, J. Scialdone, S. Ritz, T. Stevens, M. Morahan, A. Aleman, R. Vogel, S. Leicester, H. Weir, M. Meaux, S. Grebas, C. Solomon, M. Holland, T. Northcutt, R. A. Restrepo, R. Bilodeau (2013). NASA/Global Change Master Directory (GCMD) Earth Science Keywords. Version 8.0.0.0.0 Please note: NOAA and NODC make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NODC cannot assume liability for any damages caused by any errors or omissions in these data. accessLevel: Public otherRestrictions Cite as: NERC Earth Observation Data Acquisition and Analysis Service (NEODAAS) (2008). GHRSST Level 2P North Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite produced by NEODAAS (GDS version 1). National Oceanographic Data Center, NOAA. Dataset. [access date] otherRestrictions None GHRSST Level 2P North Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite produced by NEODAAS Sea surface temperature from AVHRR 20080526 creation 1 NEODAAS http://www.neodaas.ac.uk/faq/ originator NEODAAS NERC Earth Observation Data Acquisition and Analysis Service, UK publisher collection userGuide Portal to the GHRSST Global Data Assembly Center and data access Group for High Resolution Sea Surface Temperature http://ghrsst.jpl.nasa.gov HTTP Standard Internet browser Portal to the GHRSST Global Data Assembly Center and data access Portal to the GHRSST Global Data Assembly Center and data access custodian crossReference collection GHRSST Project homepage Group for High Resolution Sea Surface Temperature http://www.ghrsst.org HTTP Standard Internet browser GHRSST Project homepage GHRSST Project homepage custodian crossReference collection Web Service (PO.DAAC Labs) (Search Granule) Group for High Resolution Sea Surface Temperature http://podaac.jpl.nasa.gov/ws/search/granule/?datasetId=PODAAC-GH17L-2PS01&apidoc HTTP Standard Internet browser Web Service (PO.DAAC Labs) (Search Granule) custodian crossReference collection grid eng utf8 oceans environment biota climatologyMeteorologyAtmosphere -60 60 24 90 2008-09-02 2010-05-18 referenceInformation lat float lon float time int US National Oceanographic Data Center NODC User Services 301-713-3277 301-713-3302 1315 East-West Highway, SSMC3, 4th floor Silver Spring MD 20910-3282 USA NODC.Services@noaa.gov 8:30-6:00 PM, EST pointOfContact Digital data may be downloaded from NODC at no charge in most cases. For custom orders of digital data or to obtain a copy of analog materials, please contact NODC User Services for information about current fees. Data may be searched and downloaded using online services provided by the NODC using the online resource URLs in this record. Contact NODC User Services for custom orders. When requesting data from the NODC, the desired data set may be referred to by the NODC Accession Number listed in this metadata record. netCDF netCDF-3 BZIP2 http://www.nodc.noaa.gov/geoportal/rest/find/document?searchText=fileIdentifier%3AGHRSST-NEODAAS-L2P-AVHRR17_L*%20OR%20fileIdentifier%3ANEODAAS-L2P-AVHRR17_L*&start=1&max=100&f=SearchPage HTTP Standard Internet browser Granule Search Granule Search search http://data.nodc.noaa.gov/cgi-bin/iso?id=gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR17_L HTTP Standard Internet browser Details Navigate directly to the URL for a descriptive web page with download links. information http://data.nodc.noaa.gov/thredds/catalog/ghrsst/L2P/AVHRR17_L/NEODAAS/ THREDDS Standard Internet browsers can browse THREDDS Data Servers and specialized THREDDS software can enable more sophisticated data access and visualizations. THREDDS These data are available through a variety of services via a THREDDS (Thematic Real-time Environmental Distributed Data Services) Data Server (TDS). The base URL of NODC's TDS is http://data.nodc.noaa.gov/thredds. Depending on the dataset, the TDS can provide WMS, WCS, DAP, HTTP, and other data access and metadata services as well. For more information on the TDS, see http://www.unidata.ucar.edu/software/thredds/current/tds/. download http://data.nodc.noaa.gov/opendap/ghrsst/L2P/AVHRR17_L/NEODAAS/ DAP Standard Internet browsers can browse OPeNDAP servers and specialized OPeNDAP software can enable more sophisticated data access and visualizations. OPeNDAP These data are available through the Data Access Protocol (DAP) via an OPeNDAP Hyrax server. The base URL of NODC's Hyrax server is http://data.nodc.noaa.gov/opendap/. For a listing of OPeNDAP clients which may be used to access OPeNDAP-enabled data sets, please see the OPeNDAP website at http://opendap.org/. download http://data.nodc.noaa.gov/ghrsst/L2P/AVHRR17_L/NEODAAS/ HTTP Standard Internet browser Download Navigate directly to the URL for data access and direct download. download ftp://ftp.nodc.noaa.gov/pub/data.nodc/ghrsst/L2P/AVHRR17_L/NEODAAS/ FTP Any FTP client FTP These data are available through the File Transfer Protocol (FTP). The base URL of NODC's FTP server is ftp://ftp.nodc.noaa.gov/ and you may use any FTP client to download these data. download asNeeded Combined metadata from JPL and NODC DOC/NOAA/NESDIS/NODC > National Oceanographic Data Center, NESDIS, NOAA, U.S. Department of Commerce custodian AVHRR-3 > Advanced Very High Resolution Radiometer-3 sensor The AVHRR is a radiation-detection imager that can be used for remotely determining cloud cover and the surface temperature. Note that the term surface can mean the surface of the Earth, the upper surfaces of clouds, or the surface of a body of water. NOAA-17 > National Oceanic & Atmospheric Administration-17 The POES satellite system offers the advantage of daily global coverage, with morning and afternoon orbits that deliver global data, for improvement of weather forecasting. The information received includes cloud cover, storm location, temperature, and heat balance in the earth's atmosphere. NEODAAS http://www.neodaas.ac.uk/faq/ sponsor NASA/JPL/PODAAC > Physical Oceanography Distributed Active Archive Center, Jet Propulsion Laboratory, NASA http://podaac.jpl.nasa.gov information sponsor gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR17_L]
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Expected values: [A Level 2P swath-based Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic area from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 platform (launched on 24 June 2002). This particular dataset is produced by the Natural Environment Research Council (NERC) Earth Observation Data Acquisition and Analysis Service (NEODAAS) in collaboration with the National Centre for Ocean Forecasting (NCOF) in the United Kingdom. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day or more (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km.NEODAAS-Dundee acquires approximately 15 AVHRR direct broadcast High Resolution Picture Transmission (HRPT) passes per day over NW Europe and the Arctic. Each pass is approximately 15 minutes duration. These are immediately transferred to NEODAAS-Plymouth where they are processed into sea surface temperature (SST) products and converted to L2P specifications.]
Actual values: [A Level 2P swath-based Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic area from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 platform (launched on 24 June 2002). This particular dataset is produced by the Natural Environment Research Council (NERC) Earth Observation Data Acquisition and Analysis Service (NEODAAS) in collaboration with the National Centre for Ocean Forecasting (NCOF) in the United Kingdom. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day or more (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km.NEODAAS-Dundee acquires approximately 15 AVHRR direct broadcast High Resolution Picture Transmission (HRPT) passes per day over NW Europe and the Arctic. Each pass is approximately 15 minutes duration. These are immediately transferred to NEODAAS-Plymouth where they are processed into sea surface temperature (SST) products and converted to L2P specifications.]
Compared fields for: pubDate
Expected values: [2015-02-04T21:33:10.000Z]
Actual values: [2015-02-04T21:33:10.000Z]
Compared fields for: geohash_9
Expected values: [u40h20810]
Actual values: [u40h20810]
Compared fields for: geohash_8
Expected values: [u40h2081]
Actual values: [u40h2081]
Compared fields for: beginDate
Expected values: [2008-09-02T00:00:00.000Z]
Actual values: [2008-09-02T00:00:00.000Z]
Compared fields for: serviceTitle
Expected values: [Granule Search:Details:THREDDS:OPeNDAP:Download:FTP]
Actual values: [Granule Search:Details:THREDDS:OPeNDAP:Download:FTP]
Compared fields for: serviceDescription
Expected values: [Granule Search:Navigate directly to the URL for a descriptive web page with download links.:These data are available through a variety of services via a THREDDS (Thematic Real-time Environmental Distributed Data Services) Data Server (TDS). The base URL of NODC's TDS is http://data.nodc.noaa.gov/thredds. Depending on the dataset, the TDS can provide WMS, WCS, DAP, HTTP, and other data access and metadata services as well. For more information on the TDS, see http://www.unidata.ucar.edu/software/thredds/current/tds/.:These data are available through the Data Access Protocol (DAP) via an OPeNDAP Hyrax server. The base URL of NODC's Hyrax server is http://data.nodc.noaa.gov/opendap/. For a listing of OPeNDAP clients which may be used to access OPeNDAP-enabled data sets, please see the OPeNDAP website at http://opendap.org/.:Navigate directly to the URL for data access and direct download.:These data are available through the File Transfer Protocol (FTP). The base URL of NODC's FTP server is ftp://ftp.nodc.noaa.gov/ and you may use any FTP client to download these data.]
Actual values: [Granule Search:Navigate directly to the URL for a descriptive web page with download links.:These data are available through a variety of services via a THREDDS (Thematic Real-time Environmental Distributed Data Services) Data Server (TDS). The base URL of NODC's TDS is http://data.nodc.noaa.gov/thredds. Depending on the dataset, the TDS can provide WMS, WCS, DAP, HTTP, and other data access and metadata services as well. For more information on the TDS, see http://www.unidata.ucar.edu/software/thredds/current/tds/.:These data are available through the Data Access Protocol (DAP) via an OPeNDAP Hyrax server. The base URL of NODC's Hyrax server is http://data.nodc.noaa.gov/opendap/. For a listing of OPeNDAP clients which may be used to access OPeNDAP-enabled data sets, please see the OPeNDAP website at http://opendap.org/.:Navigate directly to the URL for data access and direct download.:These data are available through the File Transfer Protocol (FTP). The base URL of NODC's FTP server is ftp://ftp.nodc.noaa.gov/ and you may use any FTP client to download these data.]
Compared fields for: eastBoundCoord
Expected values: [60]
Actual values: [60]
Compared fields for: southBoundCoord
Expected values: [24]
Actual values: [24]
Compared fields for: rightsHolder
Expected values: [CN=jlong,O=International Arctic Research Center,ST=AK,C=US]
Actual values: [CN=jlong,O=International Arctic Research Center,ST=AK,C=US]
Compared fields for: submitter
Expected values: [CN=jlong,O=International Arctic Research Center,ST=AK,C=US]
Actual values: [CN=jlong,O=International Arctic Research Center,ST=AK,C=US]
Compared fields for: fileName
Expected values: []
Actual values: []
Compared fields for: dateUploaded
Expected values: [2015-05-08T01:47:46.858Z]
Actual values: [2015-05-08T01:47:46.858Z]
Compared fields for: seriesId
Expected values: []
Actual values: []
Compared fields for: obsoletedBy
Expected values: []
Actual values: []
Compared fields for: replicaMN
Expected values: []
Actual values: []
Compared fields for: changePermission
Expected values: []
Actual values: []
Compared fields for: readPermission
Expected values: [public]
Actual values: [public]
Compared fields for: checksum
Expected values: [037282cbe6fdfc99ed9f3b49a0ddb05d38e11704]
Actual values: [037282cbe6fdfc99ed9f3b49a0ddb05d38e11704]
Compared fields for: replicationAllowed
Expected values: [true]
Actual values: [true]
Compared fields for: isPublic
Expected values: [true]
Actual values: [true]
Compared fields for: id
Expected values: [iso19139_8bd65007-f4b7-4b6e-8e71-05d7cf48a620_0]
Actual values: [iso19139_8bd65007-f4b7-4b6e-8e71-05d7cf48a620_0]
Compared fields for: formatType
Expected values: [METADATA]
Actual values: [METADATA]
Compared fields for: authoritativeMN
Expected values: [urn:node:IARC]
Actual values: [urn:node:IARC]
Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/iso19139_8bd65007-f4b7-4b6e-8e71-05d7cf48a620_0]
Actual values: [https://cn.dataone.org/cn/v2/resolve/iso19139_8bd65007-f4b7-4b6e-8e71-05d7cf48a620_0]
Compared fields for: dateModified
Expected values: [2015-05-08T01:47:46.893Z]
Actual values: [2015-05-08T01:47:46.893Z]
Compared fields for: mediaType
Expected values: []
Actual values: []
Compared fields for: checksumAlgorithm
Expected values: [SHA-1]
Actual values: [SHA-1]
Compared fields for: mediaTypeProperty
Expected values: []
Actual values: []
Compared fields for: numberReplicas
Expected values: [3]
Actual values: [3]
Compared fields for: obsoletes
Expected values: []
Actual values: []
Compared fields for: replicaVerifiedDate
Expected values: []
Actual values: []
Compared fields for: formatId
Expected values: [http://www.isotc211.org/2005/gmd]
Actual values: [http://www.isotc211.org/2005/gmd]
Compared fields for: preferredReplicationMN
Expected values: []
Actual values: []
Compared fields for: size
Expected values: [12917]
Actual values: [12917]
Compared fields for: datasource
Expected values: [urn:node:IARC]
Actual values: [urn:node:IARC]
Compared fields for: blockedReplicationMN
Expected values: []
Actual values: []
Compared fields for: writePermission
Expected values: []
Actual values: []
Compared fields for: serviceType
Expected values: []
Actual values: []
Compared fields for: serviceOutput
Expected values: []
Actual values: []
Compared fields for: keywords
Expected values: [BEST, Bering sea, BSIERP]
Actual values: [BEST, Bering sea, BSIERP]
Compared fields for: endDate
Expected values: [2010-12-31T10:44:00.000Z]
Actual values: [2010-12-31T10:44:00.000Z]
Compared fields for: authorSurName
Expected values: [Jake Stroh]
Actual values: [Jake Stroh]
Compared fields for: origin
Expected values: []
Actual values: []
Compared fields for: serviceEndpoint
Expected values: [http://climate.iarc.uaf.edu:8080/geonetwork/srv/en/resources.get?id=611&fname=best_bs_currents3-rev_final.pdf&access=private]
Actual values: [http://climate.iarc.uaf.edu:8080/geonetwork/srv/en/resources.get?id=611&fname=best_bs_currents3-rev_final.pdf&access=private]
Compared fields for: title
Expected values: [Volume, heat and salt transport in the North-Eastern Bering Sea during 2007-2010 derived through the 4dvar data assimilation of in-situ and satellite observations]
Actual values: [Volume, heat and salt transport in the North-Eastern Bering Sea during 2007-2010 derived through the 4dvar data assimilation of in-situ and satellite observations]
Compared fields for: northBoundCoord
Expected values: [67]
Actual values: [67]
Compared fields for: investigator
Expected values: [Jake Stroh]
Actual values: [Jake Stroh]
Compared fields for: serviceCoupling
Expected values: [tight]
Actual values: [tight]
Compared fields for: westBoundCoord
Expected values: [-180]
Actual values: [-180]
Compared fields for: authorSurNameSort
Expected values: [Jake Stroh]
Actual values: [Jake Stroh]
Compared fields for: text
Expected values: [8bd65007-f4b7-4b6e-8e71-05d7cf48a620 eng Jake Stroh jnstroh@alaska.edu 2014-03-04T10:48:09 ISO 19115:2003/19139 1.0 Volume, heat and salt transport in the North-Eastern Bering Sea during 2007-2010 derived through the 4dvar data assimilation of in-situ and satellite observations 2014-02-21T10:40:00 The rich collection of BEST-BSIERP observations and other sources of data provide an excellent opportunity for synthesis through modeling and data assimilation to improve our understanding of changes in physical forcings of the Bering ecosystem in response to climate change. Assimilating data of different origins, which may be sparse in space and time, is difficult using simple algorithms (traditional optimal interpolation, correlation analysis etc.).The 4Dvar approach is effective for performing spatiotemporal interpolation of sparse data via interpolation (covariance) functions with scales based on ocean dynamics (Bennett, 2002). Jake Stroh International Arctic Research Center jnstroh@alaska.edu thumbnail large_thumbnail BEST Bering sea BSIERP eng geoscientificInformation 2007-01-01T10:43:00 2010-12-31T10:44:00 -180 -158 50 67 http://climate.iarc.uaf.edu:8080/geonetwork/srv/en/resources.get?id=611&fname=best_bs_currents3-rev_final.pdf&access=private WWW:DOWNLOAD-1.0-http--download best_bs_currents3-rev_final.pdf Ocean Sciences meeting 2014 iso19139_8bd65007-f4b7-4b6e-8e71-05d7cf48a620_0]
Actual values: [8bd65007-f4b7-4b6e-8e71-05d7cf48a620 eng Jake Stroh jnstroh@alaska.edu 2014-03-04T10:48:09 ISO 19115:2003/19139 1.0 Volume, heat and salt transport in the North-Eastern Bering Sea during 2007-2010 derived through the 4dvar data assimilation of in-situ and satellite observations 2014-02-21T10:40:00 The rich collection of BEST-BSIERP observations and other sources of data provide an excellent opportunity for synthesis through modeling and data assimilation to improve our understanding of changes in physical forcings of the Bering ecosystem in response to climate change. Assimilating data of different origins, which may be sparse in space and time, is difficult using simple algorithms (traditional optimal interpolation, correlation analysis etc.).The 4Dvar approach is effective for performing spatiotemporal interpolation of sparse data via interpolation (covariance) functions with scales based on ocean dynamics (Bennett, 2002). Jake Stroh International Arctic Research Center jnstroh@alaska.edu thumbnail large_thumbnail BEST Bering sea BSIERP eng geoscientificInformation 2007-01-01T10:43:00 2010-12-31T10:44:00 -180 -158 50 67 http://climate.iarc.uaf.edu:8080/geonetwork/srv/en/resources.get?id=611&fname=best_bs_currents3-rev_final.pdf&access=private WWW:DOWNLOAD-1.0-http--download best_bs_currents3-rev_final.pdf Ocean Sciences meeting 2014 iso19139_8bd65007-f4b7-4b6e-8e71-05d7cf48a620_0]
Compared fields for: isService
Expected values: [true]
Actual values: [true]
Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/iso19139_8bd65007-f4b7-4b6e-8e71-05d7cf48a620_0]
Actual values: [https://cn.dataone.org/cn/v2/resolve/iso19139_8bd65007-f4b7-4b6e-8e71-05d7cf48a620_0]
Compared fields for: geohash_7
Expected values: [b4ruf39]
Actual values: [b4ruf39]
Compared fields for: contactOrganization
Expected values: [International Arctic Research Center]
Actual values: [International Arctic Research Center]
Compared fields for: geohash_6
Expected values: [b4ruf3]
Actual values: [b4ruf3]
Compared fields for: geohash_5
Expected values: [b4ruf]
Actual values: [b4ruf]
Compared fields for: geohash_4
Expected values: [b4ru]
Actual values: [b4ru]
Compared fields for: geohash_3
Expected values: [b4r]
Actual values: [b4r]
Compared fields for: geohash_2
Expected values: [b4]
Actual values: [b4]
Compared fields for: author
Expected values: [Jake Stroh]
Actual values: [Jake Stroh]
Compared fields for: geohash_1
Expected values: [b]
Actual values: [b]
Compared fields for: serviceInput
Expected values: []
Actual values: []
Compared fields for: abstract
Expected values: [The rich collection of BEST-BSIERP observations and other sources of data provide an excellent opportunity for synthesis through modeling and data assimilation to improve our understanding of changes in physical forcings of the Bering ecosystem in response to climate change. Assimilating data of different origins, which may be sparse in space and time, is difficult using simple algorithms (traditional optimal interpolation, correlation analysis etc.).The 4Dvar approach is effective for performing spatiotemporal interpolation of sparse data via interpolation (covariance) functions with scales based on ocean dynamics (Bennett, 2002).]
Actual values: [The rich collection of BEST-BSIERP observations and other sources of data provide an excellent opportunity for synthesis through modeling and data assimilation to improve our understanding of changes in physical forcings of the Bering ecosystem in response to climate change. Assimilating data of different origins, which may be sparse in space and time, is difficult using simple algorithms (traditional optimal interpolation, correlation analysis etc.).The 4Dvar approach is effective for performing spatiotemporal interpolation of sparse data via interpolation (covariance) functions with scales based on ocean dynamics (Bennett, 2002).]
Compared fields for: pubDate
Expected values: [2014-03-04T10:48:09.000Z]
Actual values: [2014-03-04T10:48:09.000Z]
Compared fields for: geohash_9
Expected values: [b4ruf39gn]
Actual values: [b4ruf39gn]
Compared fields for: geohash_8
Expected values: [b4ruf39g]
Actual values: [b4ruf39g]
Compared fields for: beginDate
Expected values: [2007-01-01T10:43:00.000Z]
Actual values: [2007-01-01T10:43:00.000Z]
Compared fields for: serviceTitle
Expected values: []
Actual values: []
Compared fields for: serviceDescription
Expected values: []
Actual values: []
Compared fields for: eastBoundCoord
Expected values: [-158]
Actual values: [-158]
Compared fields for: southBoundCoord
Expected values: [50]
Actual values: [50]
Compared fields for: rightsHolder
Expected values: [CN=jlong,O=International Arctic Research Center,ST=AK,C=US]
Actual values: [CN=jlong,O=International Arctic Research Center,ST=AK,C=US]
Compared fields for: submitter
Expected values: [CN=jlong,O=International Arctic Research Center,ST=AK,C=US]
Actual values: [CN=jlong,O=International Arctic Research Center,ST=AK,C=US]
Compared fields for: fileName
Expected values: []
Actual values: []
Compared fields for: dateUploaded
Expected values: [2015-05-08T01:47:41.356Z]
Actual values: [2015-05-08T01:47:41.356Z]
Compared fields for: seriesId
Expected values: []
Actual values: []
Compared fields for: obsoletedBy
Expected values: []
Actual values: []
Compared fields for: replicaMN
Expected values: []
Actual values: []
Compared fields for: changePermission
Expected values: []
Actual values: []
Compared fields for: readPermission
Expected values: [public]
Actual values: [public]
Compared fields for: checksum
Expected values: [225d7c92a8c3285f49a8f216f929f14c6b51d5a3]
Actual values: [225d7c92a8c3285f49a8f216f929f14c6b51d5a3]
Compared fields for: replicationAllowed
Expected values: [true]
Actual values: [true]
Compared fields for: isPublic
Expected values: [true]
Actual values: [true]
Compared fields for: id
Expected values: [iso19139_bcc7e1be-2683-433c-b351-bc061f35ceb8_0]
Actual values: [iso19139_bcc7e1be-2683-433c-b351-bc061f35ceb8_0]
Compared fields for: formatType
Expected values: [METADATA]
Actual values: [METADATA]
Compared fields for: authoritativeMN
Expected values: [urn:node:IARC]
Actual values: [urn:node:IARC]
Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/iso19139_bcc7e1be-2683-433c-b351-bc061f35ceb8_0]
Actual values: [https://cn.dataone.org/cn/v2/resolve/iso19139_bcc7e1be-2683-433c-b351-bc061f35ceb8_0]
Compared fields for: dateModified
Expected values: [2015-05-08T01:47:41.391Z]
Actual values: [2015-05-08T01:47:41.391Z]
Compared fields for: mediaType
Expected values: []
Actual values: []
Compared fields for: checksumAlgorithm
Expected values: [SHA-1]
Actual values: [SHA-1]
Compared fields for: mediaTypeProperty
Expected values: []
Actual values: []
Compared fields for: numberReplicas
Expected values: [3]
Actual values: [3]
Compared fields for: obsoletes
Expected values: []
Actual values: []
Compared fields for: replicaVerifiedDate
Expected values: []
Actual values: []
Compared fields for: formatId
Expected values: [http://www.isotc211.org/2005/gmd]
Actual values: [http://www.isotc211.org/2005/gmd]
Compared fields for: preferredReplicationMN
Expected values: []
Actual values: []
Compared fields for: size
Expected values: [15406]
Actual values: [15406]
Compared fields for: datasource
Expected values: [urn:node:IARC]
Actual values: [urn:node:IARC]
Compared fields for: blockedReplicationMN
Expected values: []
Actual values: []
Compared fields for: writePermission
Expected values: []
Actual values: []
Compared fields for: serviceType
Expected values: []
Actual values: []
Compared fields for: serviceOutput
Expected values: []
Actual values: []
Compared fields for: keywords
Expected values: [Seward Peninsula, Alaska, Coast, Norton Bay, Candle, Aerial, Photography, Color, Infrared]
Actual values: [Seward Peninsula, Alaska, Coast, Norton Bay, Candle, Aerial, Photography, Color, Infrared]
Compared fields for: endDate
Expected values: [1976-07-23T00:00:00.000Z]
Actual values: [1976-07-23T00:00:00.000Z]
Compared fields for: authorSurName
Expected values: [Dr Jessica Cherry]
Actual values: [Dr Jessica Cherry]
Compared fields for: origin
Expected values: []
Actual values: []
Compared fields for: serviceEndpoint
Expected values: [http://climate.iarc.uaf.edu:8080/geonetwork/srv/en/resources.get?id=169&fname=&access=private]
Actual values: [http://climate.iarc.uaf.edu:8080/geonetwork/srv/en/resources.get?id=169&fname=&access=private]
Compared fields for: title
Expected values: [National Ocean Service Aerial Photographs: Seward Peninsula Coastline - Flight Line 29]
Actual values: [National Ocean Service Aerial Photographs: Seward Peninsula Coastline - Flight Line 29]
Compared fields for: northBoundCoord
Expected values: [65.07]
Actual values: [65.07]
Compared fields for: investigator
Expected values: [Dr Jessica Cherry]
Actual values: [Dr Jessica Cherry]
Compared fields for: serviceCoupling
Expected values: [tight]
Actual values: [tight]
Compared fields for: westBoundCoord
Expected values: [-161.09]
Actual values: [-161.09]
Compared fields for: authorSurNameSort
Expected values: [Dr Jessica Cherry]
Actual values: [Dr Jessica Cherry]
Compared fields for: text
Expected values: [bcc7e1be-2683-433c-b351-bc061f35ceb8 eng 6a503c5a-78ae-434e-b76e-b2d2755b7aef Dr Jessica Cherry 907-474-5730 jcherry@iarc.uaf.edu 2011-12-08T15:38:44 ISO 19115:2003/19139 1.0 WGS 1984 National Ocean Service Aerial Photographs: Seward Peninsula Coastline - Flight Line 29 Outer Continental Shelf Environmental Assesment Program 1976-07-23T00:00:00 This aerial photograph collection consists of about 1897 frames of color infrared and natural color transparencies. It was flown in the summers of 1976 and 1977 for the Outer Continental Shelf Environmental Assessment Program, at an altitude ranging from about 5,000 - 18,400 feet. ECR prefix indicates color infrared, and CC/ZC indicates natural color. It is filed by flight line.This subset of the aerial photograph collection includes flight lines that included coastline from the Seward Peninsula. Flight lines include numbers 8-14 and 24-40. There are 846 images in this subset, 281 natural color images and 565 color infrared images.The photography may be ordered from the National Archives or duplicated in the National Ocean Service photo lab. Photograph Alaskan coast line during 1976-1977 for comparison at later dates. Dr Jessica Cherry Water and Environmental Research Center, UAF 907-474-5730 Fairbanks Alaska United States of America jcherry@iarc.uaf.edu Seward Peninsula Alaska Coast Norton Bay Candle Aerial Photography Color Infrared eng imageryBaseMapsEarthCover 1976-07-23T00:00:00 1976-07-23T00:00:00 -161.09 -160.55 64.34 65.07 Seward Peninsula CoastlineFlight Line 29Color: Ungalik River - Kenwood CreekInfrared: Ungalik River - KoyukQuad: Norton Bay, Candle 1st Frame - Last FrameColor: 6539 - 6546Infrared: 5760 - 5770Altitude: 18000 feet film none http://climate.iarc.uaf.edu:8080/geonetwork/srv/en/resources.get?id=169&fname=&access=private WWW:DOWNLOAD-1.0-http--download This is not where this data is stored. Please see Point of Contact for information. iso19139_bcc7e1be-2683-433c-b351-bc061f35ceb8_0]
Actual values: [bcc7e1be-2683-433c-b351-bc061f35ceb8 eng 6a503c5a-78ae-434e-b76e-b2d2755b7aef Dr Jessica Cherry 907-474-5730 jcherry@iarc.uaf.edu 2011-12-08T15:38:44 ISO 19115:2003/19139 1.0 WGS 1984 National Ocean Service Aerial Photographs: Seward Peninsula Coastline - Flight Line 29 Outer Continental Shelf Environmental Assesment Program 1976-07-23T00:00:00 This aerial photograph collection consists of about 1897 frames of color infrared and natural color transparencies. It was flown in the summers of 1976 and 1977 for the Outer Continental Shelf Environmental Assessment Program, at an altitude ranging from about 5,000 - 18,400 feet. ECR prefix indicates color infrared, and CC/ZC indicates natural color. It is filed by flight line.This subset of the aerial photograph collection includes flight lines that included coastline from the Seward Peninsula. Flight lines include numbers 8-14 and 24-40. There are 846 images in this subset, 281 natural color images and 565 color infrared images.The photography may be ordered from the National Archives or duplicated in the National Ocean Service photo lab. Photograph Alaskan coast line during 1976-1977 for comparison at later dates. Dr Jessica Cherry Water and Environmental Research Center, UAF 907-474-5730 Fairbanks Alaska United States of America jcherry@iarc.uaf.edu Seward Peninsula Alaska Coast Norton Bay Candle Aerial Photography Color Infrared eng imageryBaseMapsEarthCover 1976-07-23T00:00:00 1976-07-23T00:00:00 -161.09 -160.55 64.34 65.07 Seward Peninsula CoastlineFlight Line 29Color: Ungalik River - Kenwood CreekInfrared: Ungalik River - KoyukQuad: Norton Bay, Candle 1st Frame - Last FrameColor: 6539 - 6546Infrared: 5760 - 5770Altitude: 18000 feet film none http://climate.iarc.uaf.edu:8080/geonetwork/srv/en/resources.get?id=169&fname=&access=private WWW:DOWNLOAD-1.0-http--download This is not where this data is stored. Please see Point of Contact for information. iso19139_bcc7e1be-2683-433c-b351-bc061f35ceb8_0]
Compared fields for: isService
Expected values: [true]
Actual values: [true]
Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/iso19139_bcc7e1be-2683-433c-b351-bc061f35ceb8_0]
Actual values: [https://cn.dataone.org/cn/v2/resolve/iso19139_bcc7e1be-2683-433c-b351-bc061f35ceb8_0]
Compared fields for: geohash_7
Expected values: [b7t8h7n]
Actual values: [b7t8h7n]
Compared fields for: contactOrganization
Expected values: [Water and Environmental Research Center, UAF]
Actual values: [Water and Environmental Research Center, UAF]
Compared fields for: geohash_6
Expected values: [b7t8h7]
Actual values: [b7t8h7]
Compared fields for: geohash_5
Expected values: [b7t8h]
Actual values: [b7t8h]
Compared fields for: geohash_4
Expected values: [b7t8]
Actual values: [b7t8]
Compared fields for: geohash_3
Expected values: [b7t]
Actual values: [b7t]
Compared fields for: geohash_2
Expected values: [b7]
Actual values: [b7]
Compared fields for: author
Expected values: [Dr Jessica Cherry]
Actual values: [Dr Jessica Cherry]
Compared fields for: geohash_1
Expected values: [b]
Actual values: [b]
Compared fields for: serviceInput
Expected values: []
Actual values: []
Compared fields for: abstract
Expected values: [This aerial photograph collection consists of about 1897 frames of color infrared and natural color transparencies. It was flown in the summers of 1976 and 1977 for the Outer Continental Shelf Environmental Assessment Program, at an altitude ranging from about 5,000 - 18,400 feet. ECR prefix indicates color infrared, and CC/ZC indicates natural color. It is filed by flight line.This subset of the aerial photograph collection includes flight lines that included coastline from the Seward Peninsula. Flight lines include numbers 8-14 and 24-40. There are 846 images in this subset, 281 natural color images and 565 color infrared images.The photography may be ordered from the National Archives or duplicated in the National Ocean Service photo lab.]
Actual values: [This aerial photograph collection consists of about 1897 frames of color infrared and natural color transparencies. It was flown in the summers of 1976 and 1977 for the Outer Continental Shelf Environmental Assessment Program, at an altitude ranging from about 5,000 - 18,400 feet. ECR prefix indicates color infrared, and CC/ZC indicates natural color. It is filed by flight line.This subset of the aerial photograph collection includes flight lines that included coastline from the Seward Peninsula. Flight lines include numbers 8-14 and 24-40. There are 846 images in this subset, 281 natural color images and 565 color infrared images.The photography may be ordered from the National Archives or duplicated in the National Ocean Service photo lab.]
Compared fields for: pubDate
Expected values: [2011-12-08T15:38:44.000Z]
Actual values: [2011-12-08T15:38:44.000Z]
Compared fields for: geohash_9
Expected values: [b7t8h7nmy]
Actual values: [b7t8h7nmy]
Compared fields for: geohash_8
Expected values: [b7t8h7nm]
Actual values: [b7t8h7nm]
Compared fields for: beginDate
Expected values: [1976-07-23T00:00:00.000Z]
Actual values: [1976-07-23T00:00:00.000Z]
Compared fields for: serviceTitle
Expected values: []
Actual values: []
Compared fields for: serviceDescription
Expected values: []
Actual values: []
Compared fields for: eastBoundCoord
Expected values: [-160.55]
Actual values: [-160.55]
Compared fields for: southBoundCoord
Expected values: [64.34]
Actual values: [64.34]
Compared fields for: rightsHolder
Expected values: [cnSandboxUCSB1]
Actual values: [cnSandboxUCSB1]
Compared fields for: submitter
Expected values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Actual values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Compared fields for: fileName
Expected values: []
Actual values: []
Compared fields for: dateUploaded
Expected values: [2016-01-11T20:49:00.385Z]
Actual values: [2016-01-11T20:49:00.385Z]
Compared fields for: seriesId
Expected values: []
Actual values: []
Compared fields for: obsoletedBy
Expected values: []
Actual values: []
Compared fields for: changePermission
Expected values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Actual values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Compared fields for: replicaMN
Expected values: []
Actual values: []
Compared fields for: readPermission
Expected values: [public]
Actual values: [public]
Compared fields for: checksum
Expected values: [f693b0d79ae3cbf65a4777123c17a1af]
Actual values: [f693b0d79ae3cbf65a4777123c17a1af]
Compared fields for: replicationAllowed
Expected values: []
Actual values: []
Compared fields for: isPublic
Expected values: [true]
Actual values: [true]
Compared fields for: id
Expected values: [IOOS_etopo100_201611124924884]
Actual values: [IOOS_etopo100_201611124924884]
Compared fields for: formatType
Expected values: [METADATA]
Actual values: [METADATA]
Compared fields for: authoritativeMN
Expected values: [urn:node:mnDemo6]
Actual values: [urn:node:mnDemo6]
Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/IOOS_etopo100_201611124924884]
Actual values: [https://cn.dataone.org/cn/v2/resolve/IOOS_etopo100_201611124924884]
Compared fields for: dateModified
Expected values: [2016-01-11T20:49:00.385Z]
Actual values: [2016-01-11T20:49:00.385Z]
Compared fields for: mediaType
Expected values: []
Actual values: []
Compared fields for: checksumAlgorithm
Expected values: [MD5]
Actual values: [MD5]
Compared fields for: mediaTypeProperty
Expected values: []
Actual values: []
Compared fields for: numberReplicas
Expected values: []
Actual values: []
Compared fields for: obsoletes
Expected values: []
Actual values: []
Compared fields for: replicaVerifiedDate
Expected values: []
Actual values: []
Compared fields for: formatId
Expected values: [http://www.isotc211.org/2005/gmd]
Actual values: [http://www.isotc211.org/2005/gmd]
Compared fields for: preferredReplicationMN
Expected values: []
Actual values: []
Compared fields for: size
Expected values: [43216]
Actual values: [43216]
Compared fields for: datasource
Expected values: [urn:node:mnDemo6]
Actual values: [urn:node:mnDemo6]
Compared fields for: blockedReplicationMN
Expected values: []
Actual values: []
Compared fields for: writePermission
Expected values: []
Actual values: []
Compared fields for: serviceType
Expected values: [OPeNDAP, WMS]
Actual values: [OPeNDAP, WMS]
Compared fields for: serviceOutput
Expected values: [DAP/2.0]
Actual values: [DAP/2.0]
Compared fields for: keywords
Expected values: [Oceans > Bathymetry/Seafloor Topography > Bathymetry, NOAA NGDC ETOPO, latitude, longitude, altitude]
Actual values: [Oceans > Bathymetry/Seafloor Topography > Bathymetry, NOAA NGDC ETOPO, latitude, longitude, altitude]
Compared fields for: endDate
Expected values: []
Actual values: []
Compared fields for: authorSurName
Expected values: [Steven Baum]
Actual values: [Steven Baum]
Compared fields for: origin
Expected values: [NOAA NGDC]
Actual values: [NOAA NGDC]
Compared fields for: serviceEndpoint
Expected values: [http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180, http://gcoos1.tamu.edu:8080/erddap/wms/etopo180/request?service=WMS&version=1.3.0&request=GetCapabilities, http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.html, http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.graph]
Actual values: [http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180, http://gcoos1.tamu.edu:8080/erddap/wms/etopo180/request?service=WMS&version=1.3.0&request=GetCapabilities, http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.html, http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.graph]
Compared fields for: title
Expected values: [Topography, ETOPO1, 0.0166667 degrees, Global (longitude -180 to 180), (Ice Sheet Surface)]
Actual values: [Topography, ETOPO1, 0.0166667 degrees, Global (longitude -180 to 180), (Ice Sheet Surface)]
Compared fields for: northBoundCoord
Expected values: [90.0]
Actual values: [90.0]
Compared fields for: investigator
Expected values: [Steven Baum, NOAA NGDC]
Actual values: [Steven Baum, NOAA NGDC]
Compared fields for: serviceCoupling
Expected values: [tight]
Actual values: [tight]
Compared fields for: westBoundCoord
Expected values: [-180.0]
Actual values: [-180.0]
Compared fields for: authorSurNameSort
Expected values: [Steven Baum]
Actual values: [Steven Baum]
Compared fields for: text
Expected values: [etopo180 eng UTF8 dataset service Steven Baum Texas AM University 979-458-3274 David G. Eller Bldg., Room 618A College Station TX 77843-3146 USA baum@stommel.tamu.edu pointOfContact 20151214Z ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) 2 column 21601 0.016666666666666666 row 10801 0.016666666666666666 area Topography, ETOPO1, 0.0166667 degrees, Global (longitude -180 to 180), (Ice Sheet Surface) 20151214Z creation gcoos1.tamu.edu:8080 etopo180 NOAA NGDC NOAA NGDC Barry.Eakins@noaa.gov http://www.ngdc.noaa.gov/mgg/global/global.html http web browser Background Information information originator GLOBE, SRTM30, Baltic Sea Bathymetry, Caspian Sea Bathymetry, Great Lakes Bathymetry, Gulf of California Bathymetry, IBCAO, JODC Bathymetry, Mediterranean Sea Bathymetry, U.S. Coastal Relief Model (CRM), Antarctica RAMP Topography, Antarctic Digital Database, GSHHS contributor ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets. This is the 'Ice Surface' version, with the top of the Antarctic and Greenland ice sheets. The horizontal datum is WGS-84, the vertical datum is Mean Sea Level. Keywords: Bathymetry, Digital Elevation. This is the grid/node-registered version: the dataset's latitude and longitude values mark the centers of the cells. NOAA NGDC NOAA NGDC NOAA NGDC Barry.Eakins@noaa.gov http://www.ngdc.noaa.gov/mgg/global/global.html http web browser Background Information information pointOfContact Oceans > Bathymetry/Seafloor Topography > Bathymetry theme GCMD Science Keywords NOAA NGDC ETOPO project latitude longitude altitude theme CF-12 The data may be used and redistributed for free but is not intendedfor legal use, since it may contain inaccuracies. Neither the dataContributor, ERD, NOAA, nor the United States Government, nor anyof their employees or contractors, makes any warranty, express orimplied, including warranties of merchantability and fitness for aparticular purpose, or assumes any legal liability for the accuracy,completeness, or usefulness, of this information. NOAA NGDC ETOPO largerWorkCitation project Unidata Common Data Model Grid largerWorkCitation project eng geoscientificInformation 1 -180.0 180.0 -90.0 90.0 Topography, ETOPO1, 0.0166667 degrees, Global (longitude -180 to 180), (Ice Sheet Surface) 20151214Z creation NOAA NGDC NOAA NGDC Barry.Eakins@noaa.gov http://www.ngdc.noaa.gov/mgg/global/global.html http web browser Background Information information originator GLOBE, SRTM30, Baltic Sea Bathymetry, Caspian Sea Bathymetry, Great Lakes Bathymetry, Gulf of California Bathymetry, IBCAO, JODC Bathymetry, Mediterranean Sea Bathymetry, U.S. Coastal Relief Model (CRM), Antarctica RAMP Topography, Antarctic Digital Database, GSHHS contributor ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets. This is the 'Ice Surface' version, with the top of the Antarctic and Greenland ice sheets. The horizontal datum is WGS-84, the vertical datum is Mean Sea Level. Keywords: Bathymetry, Digital Elevation. This is the grid/node-registered version: the dataset's latitude and longitude values mark the centers of the cells. ERDDAP OPeNDAP 1 -180.0 180.0 -90.0 90.0 tight OPeNDAPDatasetQueryAndAccess http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180 OPeNDAP ERDDAP's griddap OPeNDAP service. Add different extensions (e.g., .html, .das, .dds) for different purposes. download Topography, ETOPO1, 0.0166667 degrees, Global (longitude -180 to 180), (Ice Sheet Surface) 20151214Z creation NOAA NGDC NOAA NGDC Barry.Eakins@noaa.gov http://www.ngdc.noaa.gov/mgg/global/global.html http web browser Background Information information originator GLOBE, SRTM30, Baltic Sea Bathymetry, Caspian Sea Bathymetry, Great Lakes Bathymetry, Gulf of California Bathymetry, IBCAO, JODC Bathymetry, Mediterranean Sea Bathymetry, U.S. Coastal Relief Model (CRM), Antarctica RAMP Topography, Antarctic Digital Database, GSHHS contributor ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets. This is the 'Ice Surface' version, with the top of the Antarctic and Greenland ice sheets. The horizontal datum is WGS-84, the vertical datum is Mean Sea Level. Keywords: Bathymetry, Digital Elevation. This is the grid/node-registered version: the dataset's latitude and longitude values mark the centers of the cells. Open Geospatial Consortium Web Map Service (WMS) 1 -180.0 180.0 -90.0 90.0 tight GetCapabilities http://gcoos1.tamu.edu:8080/erddap/wms/etopo180/request?service=WMS&version=1.3.0&request=GetCapabilities OGC-WMS Open Geospatial Consortium Web Map Service (WMS) download physicalMeasurement altitude short Altitude Steven Baum Texas AM University 979-458-3274 David G. Eller Bldg., Room 618A College Station TX 77843-3146 USA baum@stommel.tamu.edu distributor OPeNDAP DAP/2.0 http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.html OPeNDAP ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types. download http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.graph Viewer Information ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data. mapDigital dataset 2011-03-14 Downloaded http://www.ngdc.noaa.gov/mgg/global/relief/ETOPO1/data/ice_surface/grid_registered/binary/etopo1_ice_g_i2.zip This record was created from dataset metadata by ERDDAP Version 1.46 IOOS_etopo100_201611124924884]
Actual values: [etopo180 eng UTF8 dataset service Steven Baum Texas AM University 979-458-3274 David G. Eller Bldg., Room 618A College Station TX 77843-3146 USA baum@stommel.tamu.edu pointOfContact 20151214Z ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) 2 column 21601 0.016666666666666666 row 10801 0.016666666666666666 area Topography, ETOPO1, 0.0166667 degrees, Global (longitude -180 to 180), (Ice Sheet Surface) 20151214Z creation gcoos1.tamu.edu:8080 etopo180 NOAA NGDC NOAA NGDC Barry.Eakins@noaa.gov http://www.ngdc.noaa.gov/mgg/global/global.html http web browser Background Information information originator GLOBE, SRTM30, Baltic Sea Bathymetry, Caspian Sea Bathymetry, Great Lakes Bathymetry, Gulf of California Bathymetry, IBCAO, JODC Bathymetry, Mediterranean Sea Bathymetry, U.S. Coastal Relief Model (CRM), Antarctica RAMP Topography, Antarctic Digital Database, GSHHS contributor ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets. This is the 'Ice Surface' version, with the top of the Antarctic and Greenland ice sheets. The horizontal datum is WGS-84, the vertical datum is Mean Sea Level. Keywords: Bathymetry, Digital Elevation. This is the grid/node-registered version: the dataset's latitude and longitude values mark the centers of the cells. NOAA NGDC NOAA NGDC NOAA NGDC Barry.Eakins@noaa.gov http://www.ngdc.noaa.gov/mgg/global/global.html http web browser Background Information information pointOfContact Oceans > Bathymetry/Seafloor Topography > Bathymetry theme GCMD Science Keywords NOAA NGDC ETOPO project latitude longitude altitude theme CF-12 The data may be used and redistributed for free but is not intendedfor legal use, since it may contain inaccuracies. Neither the dataContributor, ERD, NOAA, nor the United States Government, nor anyof their employees or contractors, makes any warranty, express orimplied, including warranties of merchantability and fitness for aparticular purpose, or assumes any legal liability for the accuracy,completeness, or usefulness, of this information. NOAA NGDC ETOPO largerWorkCitation project Unidata Common Data Model Grid largerWorkCitation project eng geoscientificInformation 1 -180.0 180.0 -90.0 90.0 Topography, ETOPO1, 0.0166667 degrees, Global (longitude -180 to 180), (Ice Sheet Surface) 20151214Z creation NOAA NGDC NOAA NGDC Barry.Eakins@noaa.gov http://www.ngdc.noaa.gov/mgg/global/global.html http web browser Background Information information originator GLOBE, SRTM30, Baltic Sea Bathymetry, Caspian Sea Bathymetry, Great Lakes Bathymetry, Gulf of California Bathymetry, IBCAO, JODC Bathymetry, Mediterranean Sea Bathymetry, U.S. Coastal Relief Model (CRM), Antarctica RAMP Topography, Antarctic Digital Database, GSHHS contributor ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets. This is the 'Ice Surface' version, with the top of the Antarctic and Greenland ice sheets. The horizontal datum is WGS-84, the vertical datum is Mean Sea Level. Keywords: Bathymetry, Digital Elevation. This is the grid/node-registered version: the dataset's latitude and longitude values mark the centers of the cells. ERDDAP OPeNDAP 1 -180.0 180.0 -90.0 90.0 tight OPeNDAPDatasetQueryAndAccess http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180 OPeNDAP ERDDAP's griddap OPeNDAP service. Add different extensions (e.g., .html, .das, .dds) for different purposes. download Topography, ETOPO1, 0.0166667 degrees, Global (longitude -180 to 180), (Ice Sheet Surface) 20151214Z creation NOAA NGDC NOAA NGDC Barry.Eakins@noaa.gov http://www.ngdc.noaa.gov/mgg/global/global.html http web browser Background Information information originator GLOBE, SRTM30, Baltic Sea Bathymetry, Caspian Sea Bathymetry, Great Lakes Bathymetry, Gulf of California Bathymetry, IBCAO, JODC Bathymetry, Mediterranean Sea Bathymetry, U.S. Coastal Relief Model (CRM), Antarctica RAMP Topography, Antarctic Digital Database, GSHHS contributor ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets. This is the 'Ice Surface' version, with the top of the Antarctic and Greenland ice sheets. The horizontal datum is WGS-84, the vertical datum is Mean Sea Level. Keywords: Bathymetry, Digital Elevation. This is the grid/node-registered version: the dataset's latitude and longitude values mark the centers of the cells. Open Geospatial Consortium Web Map Service (WMS) 1 -180.0 180.0 -90.0 90.0 tight GetCapabilities http://gcoos1.tamu.edu:8080/erddap/wms/etopo180/request?service=WMS&version=1.3.0&request=GetCapabilities OGC-WMS Open Geospatial Consortium Web Map Service (WMS) download physicalMeasurement altitude short Altitude Steven Baum Texas AM University 979-458-3274 David G. Eller Bldg., Room 618A College Station TX 77843-3146 USA baum@stommel.tamu.edu distributor OPeNDAP DAP/2.0 http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.html OPeNDAP ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types. download http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.graph Viewer Information ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data. mapDigital dataset 2011-03-14 Downloaded http://www.ngdc.noaa.gov/mgg/global/relief/ETOPO1/data/ice_surface/grid_registered/binary/etopo1_ice_g_i2.zip This record was created from dataset metadata by ERDDAP Version 1.46 IOOS_etopo100_201611124924884]
Compared fields for: isService
Expected values: [true]
Actual values: [true]
Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/IOOS_etopo100_201611124924884]
Actual values: [https://cn.dataone.org/cn/v2/resolve/IOOS_etopo100_201611124924884]
Compared fields for: geohash_7
Expected values: [s000000]
Actual values: [s000000]
Compared fields for: contactOrganization
Expected values: [Texas AM University]
Actual values: [Texas AM University]
Compared fields for: geohash_6
Expected values: [s00000]
Actual values: [s00000]
Compared fields for: geohash_5
Expected values: [s0000]
Actual values: [s0000]
Compared fields for: geohash_4
Expected values: [s000]
Actual values: [s000]
Compared fields for: geohash_3
Expected values: [s00]
Actual values: [s00]
Compared fields for: geohash_2
Expected values: [s0]
Actual values: [s0]
Compared fields for: author
Expected values: [Steven Baum]
Actual values: [Steven Baum]
Compared fields for: geohash_1
Expected values: [s]
Actual values: [s]
Compared fields for: serviceInput
Expected values: [DataIdentification, DataIdentification]
Actual values: [DataIdentification, DataIdentification]
Compared fields for: abstract
Expected values: [ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets. This is the 'Ice Surface' version, with the top of the Antarctic and Greenland ice sheets. The horizontal datum is WGS-84, the vertical datum is Mean Sea Level. Keywords: Bathymetry, Digital Elevation. This is the grid/node-registered version: the dataset's latitude and longitude values mark the centers of the cells.]
Actual values: [ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets. This is the 'Ice Surface' version, with the top of the Antarctic and Greenland ice sheets. The horizontal datum is WGS-84, the vertical datum is Mean Sea Level. Keywords: Bathymetry, Digital Elevation. This is the grid/node-registered version: the dataset's latitude and longitude values mark the centers of the cells.]
Compared fields for: pubDate
Expected values: [20151214-01-01T00:00:00.000Z]
Actual values: [20151214-01-01T00:00:00.000Z]
Compared fields for: geohash_9
Expected values: [s00000000]
Actual values: [s00000000]
Compared fields for: geohash_8
Expected values: [s0000000]
Actual values: [s0000000]
Compared fields for: beginDate
Expected values: []
Actual values: []
Compared fields for: serviceTitle
Expected values: [Topography, ETOPO1, 0.0166667 degrees, Global (longitude -180 to 180), (Ice Sheet Surface):Topography, ETOPO1, 0.0166667 degrees, Global (longitude -180 to 180), (Ice Sheet Surface):OPeNDAP:Viewer Information]
Actual values: [Topography, ETOPO1, 0.0166667 degrees, Global (longitude -180 to 180), (Ice Sheet Surface):Topography, ETOPO1, 0.0166667 degrees, Global (longitude -180 to 180), (Ice Sheet Surface):OPeNDAP:Viewer Information]
Compared fields for: serviceDescription
Expected values: [ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets. This is the 'Ice Surface' version, with the top of the Antarctic and Greenland ice sheets. The horizontal datum is WGS-84, the vertical datum is Mean Sea Level. Keywords: Bathymetry, Digital Elevation. This is the grid/node-registered version: the dataset's latitude and longitude values mark the centers of the cells.:ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets. This is the 'Ice Surface' version, with the top of the Antarctic and Greenland ice sheets. The horizontal datum is WGS-84, the vertical datum is Mean Sea Level. Keywords: Bathymetry, Digital Elevation. This is the grid/node-registered version: the dataset's latitude and longitude values mark the centers of the cells.:ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types.:ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data.]
Actual values: [ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets. This is the 'Ice Surface' version, with the top of the Antarctic and Greenland ice sheets. The horizontal datum is WGS-84, the vertical datum is Mean Sea Level. Keywords: Bathymetry, Digital Elevation. This is the grid/node-registered version: the dataset's latitude and longitude values mark the centers of the cells.:ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets. This is the 'Ice Surface' version, with the top of the Antarctic and Greenland ice sheets. The horizontal datum is WGS-84, the vertical datum is Mean Sea Level. Keywords: Bathymetry, Digital Elevation. This is the grid/node-registered version: the dataset's latitude and longitude values mark the centers of the cells.:ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types.:ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data.]
Compared fields for: eastBoundCoord
Expected values: [180.0]
Actual values: [180.0]
Compared fields for: southBoundCoord
Expected values: [-90.0]
Actual values: [-90.0]
Compared fields for: rightsHolder
Expected values: [cnSandboxUCSB1]
Actual values: [cnSandboxUCSB1]
Compared fields for: submitter
Expected values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Actual values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Compared fields for: fileName
Expected values: []
Actual values: []
Compared fields for: dateUploaded
Expected values: [2016-01-12T17:30:48.415Z]
Actual values: [2016-01-12T17:30:48.415Z]
Compared fields for: seriesId
Expected values: []
Actual values: []
Compared fields for: obsoletedBy
Expected values: []
Actual values: []
Compared fields for: changePermission
Expected values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Actual values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Compared fields for: replicaMN
Expected values: []
Actual values: []
Compared fields for: readPermission
Expected values: [public]
Actual values: [public]
Compared fields for: checksum
Expected values: [5ec9ee7e9e4c34c6ab360a19328917ef]
Actual values: [5ec9ee7e9e4c34c6ab360a19328917ef]
Compared fields for: replicationAllowed
Expected values: []
Actual values: []
Compared fields for: isPublic
Expected values: [true]
Actual values: [true]
Compared fields for: id
Expected values: [iso19119_looselyCoupled_20161293114572]
Actual values: [iso19119_looselyCoupled_20161293114572]
Compared fields for: formatType
Expected values: [METADATA]
Actual values: [METADATA]
Compared fields for: authoritativeMN
Expected values: [urn:node:mnDemo6]
Actual values: [urn:node:mnDemo6]
Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/iso19119_looselyCoupled_20161293114572]
Actual values: [https://cn.dataone.org/cn/v2/resolve/iso19119_looselyCoupled_20161293114572]
Compared fields for: dateModified
Expected values: [2016-01-12T17:30:48.415Z]
Actual values: [2016-01-12T17:30:48.415Z]
Compared fields for: mediaType
Expected values: []
Actual values: []
Compared fields for: checksumAlgorithm
Expected values: [MD5]
Actual values: [MD5]
Compared fields for: mediaTypeProperty
Expected values: []
Actual values: []
Compared fields for: numberReplicas
Expected values: []
Actual values: []
Compared fields for: obsoletes
Expected values: []
Actual values: []
Compared fields for: replicaVerifiedDate
Expected values: []
Actual values: []
Compared fields for: formatId
Expected values: [http://www.isotc211.org/2005/gmd]
Actual values: [http://www.isotc211.org/2005/gmd]
Compared fields for: preferredReplicationMN
Expected values: []
Actual values: []
Compared fields for: size
Expected values: [5172]
Actual values: [5172]
Compared fields for: datasource
Expected values: [urn:node:mnDemo6]
Actual values: [urn:node:mnDemo6]
Compared fields for: blockedReplicationMN
Expected values: []
Actual values: []
Compared fields for: writePermission
Expected values: []
Actual values: []
Compared fields for: serviceType
Expected values: [WMS]
Actual values: [WMS]
Compared fields for: serviceOutput
Expected values: [https://cn-dev-ucsb-1.test.dataone.org/cn/v2/formats/image%2Fsvg%20xml]
Actual values: [https://cn-dev-ucsb-1.test.dataone.org/cn/v2/formats/image%2Fsvg%20xml]
Compared fields for: keywords
Expected values: []
Actual values: []
Compared fields for: endDate
Expected values: []
Actual values: []
Compared fields for: authorSurName
Expected values: [Bob]
Actual values: [Bob]
Compared fields for: origin
Expected values: []
Actual values: []
Compared fields for: serviceEndpoint
Expected values: [http://localhost:8080/geoserver/wms?SERVICE=WMS&]
Actual values: [http://localhost:8080/geoserver/wms?SERVICE=WMS&]
Compared fields for: title
Expected values: []
Actual values: []
Compared fields for: northBoundCoord
Expected values: []
Actual values: []
Compared fields for: investigator
Expected values: [Bob]
Actual values: [Bob]
Compared fields for: serviceCoupling
Expected values: [loose]
Actual values: [loose]
Compared fields for: westBoundCoord
Expected values: []
Actual values: []
Compared fields for: authorSurNameSort
Expected values: [Bob]
Actual values: [Bob]
Compared fields for: text
Expected values: [iso19119_looselyCoupled eng UTF8 dataset service Bob UNM pointOfContact 20151214Z ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) Test Render Service 2007-12-29T12:00:00 Abstract: A rendering service in ISO19139/119, yields an application/svg xml of given data. OGC:WMS RenderSVG http://localhost:8080/geoserver/wms?SERVICE=WMS& Renders an application/svg xml of given data. iso19119_looselyCoupled_20161293114572]
Actual values: [iso19119_looselyCoupled eng UTF8 dataset service Bob UNM pointOfContact 20151214Z ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) Test Render Service 2007-12-29T12:00:00 Abstract: A rendering service in ISO19139/119, yields an application/svg xml of given data. OGC:WMS RenderSVG http://localhost:8080/geoserver/wms?SERVICE=WMS& Renders an application/svg xml of given data. iso19119_looselyCoupled_20161293114572]
Compared fields for: isService
Expected values: [true]
Actual values: [true]
Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/iso19119_looselyCoupled_20161293114572]
Actual values: [https://cn.dataone.org/cn/v2/resolve/iso19119_looselyCoupled_20161293114572]
Compared fields for: geohash_7
Expected values: []
Actual values: []
Compared fields for: contactOrganization
Expected values: [UNM]
Actual values: [UNM]
Compared fields for: geohash_6
Expected values: []
Actual values: []
Compared fields for: geohash_5
Expected values: []
Actual values: []
Compared fields for: geohash_4
Expected values: []
Actual values: []
Compared fields for: geohash_3
Expected values: []
Actual values: []
Compared fields for: geohash_2
Expected values: []
Actual values: []
Compared fields for: author
Expected values: [Bob]
Actual values: [Bob]
Compared fields for: geohash_1
Expected values: []
Actual values: []
Compared fields for: serviceInput
Expected values: [https://cn-dev-ucsb-1.test.dataone.org/cn/v2/formats/CF-1.3, https://cn-dev-ucsb-1.test.dataone.org/cn/v2/formats/CF-1.4]
Actual values: [https://cn-dev-ucsb-1.test.dataone.org/cn/v2/formats/CF-1.3, https://cn-dev-ucsb-1.test.dataone.org/cn/v2/formats/CF-1.4]
Compared fields for: abstract
Expected values: []
Actual values: []
Compared fields for: pubDate
Expected values: [20151214-01-01T00:00:00.000Z]
Actual values: [20151214-01-01T00:00:00.000Z]
Compared fields for: geohash_9
Expected values: []
Actual values: []
Compared fields for: geohash_8
Expected values: []
Actual values: []
Compared fields for: beginDate
Expected values: []
Actual values: []
Compared fields for: serviceTitle
Expected values: [Test Render Service]
Actual values: [Test Render Service]
Compared fields for: serviceDescription
Expected values: [Abstract: A rendering service in ISO19139/119, yields an application/svg xml of given data.]
Actual values: [Abstract: A rendering service in ISO19139/119, yields an application/svg xml of given data.]
Compared fields for: eastBoundCoord
Expected values: []
Actual values: []
Compared fields for: southBoundCoord
Expected values: []
Actual values: []
Compared fields for: rightsHolder
Expected values: [cnSandboxUCSB1]
Actual values: [cnSandboxUCSB1]
Compared fields for: submitter
Expected values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Actual values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Compared fields for: fileName
Expected values: []
Actual values: []
Compared fields for: dateUploaded
Expected values: [2016-01-12T17:30:48.415Z]
Actual values: [2016-01-12T17:30:48.415Z]
Compared fields for: seriesId
Expected values: []
Actual values: []
Compared fields for: obsoletedBy
Expected values: []
Actual values: []
Compared fields for: changePermission
Expected values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Actual values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Compared fields for: replicaMN
Expected values: []
Actual values: []
Compared fields for: readPermission
Expected values: [public]
Actual values: [public]
Compared fields for: checksum
Expected values: [5ec9ee7e9e4c34c6ab360a19328917ef]
Actual values: [5ec9ee7e9e4c34c6ab360a19328917ef]
Compared fields for: replicationAllowed
Expected values: []
Actual values: []
Compared fields for: isPublic
Expected values: [true]
Actual values: [true]
Compared fields for: id
Expected values: [isotc211_distributionInfo_20161293114572]
Actual values: [isotc211_distributionInfo_20161293114572]
Compared fields for: formatType
Expected values: [METADATA]
Actual values: [METADATA]
Compared fields for: authoritativeMN
Expected values: [urn:node:mnDemo6]
Actual values: [urn:node:mnDemo6]
Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/isotc211_distributionInfo_20161293114572]
Actual values: [https://cn.dataone.org/cn/v2/resolve/isotc211_distributionInfo_20161293114572]
Compared fields for: dateModified
Expected values: [2016-01-12T17:30:48.415Z]
Actual values: [2016-01-12T17:30:48.415Z]
Compared fields for: mediaType
Expected values: []
Actual values: []
Compared fields for: checksumAlgorithm
Expected values: [MD5]
Actual values: [MD5]
Compared fields for: mediaTypeProperty
Expected values: []
Actual values: []
Compared fields for: numberReplicas
Expected values: []
Actual values: []
Compared fields for: obsoletes
Expected values: []
Actual values: []
Compared fields for: replicaVerifiedDate
Expected values: []
Actual values: []
Compared fields for: formatId
Expected values: [http://www.isotc211.org/2005/gmd]
Actual values: [http://www.isotc211.org/2005/gmd]
Compared fields for: preferredReplicationMN
Expected values: []
Actual values: []
Compared fields for: size
Expected values: [5172]
Actual values: [5172]
Compared fields for: datasource
Expected values: [urn:node:mnDemo6]
Actual values: [urn:node:mnDemo6]
Compared fields for: blockedReplicationMN
Expected values: []
Actual values: []
Compared fields for: writePermission
Expected values: []
Actual values: []
Compared fields for: serviceType
Expected values: [HTTP, HTTP, THREDDS, DAP, HTTP, FTP]
Actual values: [HTTP, HTTP, THREDDS, DAP, HTTP, FTP]
Compared fields for: serviceOutput
Expected values: [netCDF-4]
Actual values: [netCDF-4]
Compared fields for: keywords
Expected values: [DOC/NOAA/NESDIS/NODC > National Oceanographic Data Center, NESDIS, NOAA, U.S. Department of Commerce, DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce]
Actual values: [DOC/NOAA/NESDIS/NODC > National Oceanographic Data Center, NESDIS, NOAA, U.S. Department of Commerce, DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce]
Compared fields for: endDate
Expected values: []
Actual values: []
Compared fields for: authorSurName
Expected values: [Robert Potash]
Actual values: [Robert Potash]
Compared fields for: origin
Expected values: [NOAA/NESDIS USA, 5200 Auth Rd, Camp Springs, MD, 20746]
Actual values: [NOAA/NESDIS USA, 5200 Auth Rd, Camp Springs, MD, 20746]
Compared fields for: serviceEndpoint
Expected values: [http://www.nodc.noaa.gov/geoportal/rest/find/document?searchText=fileIdentifier%3AGHRSST-GOES13-OSPO-L2P*%20OR%20fileIdentifier%3AGOES13-OSPO-L2P*%20OR%20fileIdentifier%3AGHRSST-OSDPD-L2P-GOES13*%20OR%20fileIdentifier%3AOSDPD-L2P-GOES13*&start=1&max=100&f=SearchPage, http://data.nodc.noaa.gov/cgi-bin/iso?id=gov.noaa.nodc:GHRSST-GOES13-OSPO-L2P, http://data.nodc.noaa.gov/thredds/catalog/ghrsst/L2P/GOES13/OSPO/, http://data.nodc.noaa.gov/opendap/ghrsst/L2P/GOES13/OSPO/, http://data.nodc.noaa.gov/ghrsst/L2P/GOES13/OSPO/, ftp://ftp.nodc.noaa.gov/pub/data.nodc/ghrsst/L2P/GOES13/OSPO/]
Actual values: [http://www.nodc.noaa.gov/geoportal/rest/find/document?searchText=fileIdentifier%3AGHRSST-GOES13-OSPO-L2P*%20OR%20fileIdentifier%3AGOES13-OSPO-L2P*%20OR%20fileIdentifier%3AGHRSST-OSDPD-L2P-GOES13*%20OR%20fileIdentifier%3AOSDPD-L2P-GOES13*&start=1&max=100&f=SearchPage, http://data.nodc.noaa.gov/cgi-bin/iso?id=gov.noaa.nodc:GHRSST-GOES13-OSPO-L2P, http://data.nodc.noaa.gov/thredds/catalog/ghrsst/L2P/GOES13/OSPO/, http://data.nodc.noaa.gov/opendap/ghrsst/L2P/GOES13/OSPO/, http://data.nodc.noaa.gov/ghrsst/L2P/GOES13/OSPO/, ftp://ftp.nodc.noaa.gov/pub/data.nodc/ghrsst/L2P/GOES13/OSPO/]
Compared fields for: title
Expected values: [GHRSST Level 2P Western Atlantic Regional Skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES) Imager on the GOES-13 satellite (GDS versions 1 and 2)]
Actual values: [GHRSST Level 2P Western Atlantic Regional Skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES) Imager on the GOES-13 satellite (GDS versions 1 and 2)]
Compared fields for: northBoundCoord
Expected values: [65]
Actual values: [65]
Compared fields for: investigator
Expected values: [Robert Potash, Edward M. Armstrong, NOAA/NESDIS USA, 5200 Auth Rd, Camp Springs, MD, 20746]
Actual values: [Robert Potash, Edward M. Armstrong, NOAA/NESDIS USA, 5200 Auth Rd, Camp Springs, MD, 20746]
Compared fields for: serviceCoupling
Expected values: [tight]
Actual values: [tight]
Compared fields for: westBoundCoord
Expected values: [-135]
Actual values: [-135]
Compared fields for: authorSurNameSort
Expected values: [Robert Potash]
Actual values: [Robert Potash]
Compared fields for: text
Expected values: [gov.noaa.nodc:GHRSST-GOES13-OSPO-L2P eng utf8 series DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce Data Officer 301-713-3272 301-713-3302 Federal Building 151 Patton Avenue Asheville NC 28801-5001 USA NODC.DataOfficer@noaa.gov http://www.ncei.noaa.gov/ HTTP Standard Internet browser NOAA National Centers for Environmental Information website Main NCEI website providing links to access data and data services. information custodian Robert Potash OSDPD > NOAA Office of Satellite Data Processing and Distribution Technical Contact 301-763-8384 none bob.potash@noaa.gov Phone/FAX/E-mail pointOfContact 2016-01-24T05:44:41 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) 2 column 0.036 row 0.036 area true GHRSST Level 2P Western Atlantic Regional Skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES) Imager on the GOES-13 satellite (GDS versions 1 and 2) GHRSST Sea Surface Temperature 30W-135W and 65N-50S, at 0.036 degree resolution from GOES-13 Imager 2011-09-07 publication 1.0 NCEI Collection Identifier gov.noaa.nodc:GHRSST-GOES13-OSPO-L2P DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce 301-713-3277 301-713-3302 Federal Building 151 Patton Avenue Asheville NC 28801-5001 USA NODC.DataOfficer@noaa.gov http://www.ncei.noaa.gov/ HTTP Standard Internet browser NOAA National Centers for Environmental Information website Main NCEI website providing links to access data and data services. information publisher DOC/NOAA/NESDIS/NODC > National Oceanographic Data Center, NESDIS, NOAA, U.S. Department of Commerce 301-713-3277 301-713-3302 1315 East-West Highway, SSMC3, 4th floor Silver Spring MD 20910-3282 USA NODC.DataOfficer@noaa.gov http://www.nodc.noaa.gov/ HTTP Standard Internet browser NOAA National Oceanographic Data Center website Main NODC website providing links to access data and data services. information publisher Edward M. Armstrong US NASA; Jet Propulsion Laboratory (818) 393-6710 MS 300/320 4800 Oak Grove Drive Pasadena CA 91109 USA edward.m.armstrong@jpl.nasa.gov resourceProvider US NASA; Jet Propulsion Laboratory; Physical Oceanography Distributed Active Archive Center (JPL PO.DAAC) 626-744-5508 4800 Oak Grove Drive Pasadena CA 91109 USA podaac@podaac.jpl.nasa.gov http://podaac.jpl.nasa.gov/index.html HTTP Standard Internet browser NASA Jet Propulsion Laboratory PO DAAC website Institution web page information resourceProvider US DOC; NOAA; NESDIS; Office of Satellite and Product Operations (OSPO) E/SP NSOF, 4231 SUITLAND ROAD SUITLAND MD 20746 USA http://www.ospo.noaa.gov/Organization/About/contact.html HTTP Standard Internet browser Office of Satellite and Product Operations website Institution web page information originator US DOC; NOAA; NESDIS; Office of Satellite and Product Operations (OSDPD) 301-457-5120 E/SP Suitland MD 20746-4304 USA originator tableDigital The Geostationary Operational Environmental Satellites (GOES) operated by the United States National Oceanographic and Atmospheric Administration (NOAA) support weather forecasting, severe storm tracking, meteorology and oceanography research. Generally there are several GOES satellites in geosynchronous orbit at any one time viewing different earth locations including the GOES-13 launched 24 May 2006. The radiometer aboard the satellite, The GOES N-P Imager, is a five channel (one visible, four infrared) imaging radiometer designed to sense radiant and solar reflected energy from sampled areas of the earth. The multi-element spectral channels simultaneously sweep east-west and west-east along a north-to-south path by means of a two-axis mirror scan system retuning telemetry in 10-bit precision. For this Group for High Resolution Sea Surface Temperature (GHRSST) dataset, skin sea surface temperature (SST) measurements are calculated from the far IR channels of GOES-13 at full resolution on a half hourly basis. In native satellite projection, vertically adjacent pixels are averaged and read out at every pixel. L2P datasets including Single Sensor Error Statistics (SSES) are then derived following the GHRSST Data Processing Specification (GDS) version 2.0. The full disk image is subsetted into granules representing distinct northern and southern regions. BASIC RESEARCH These data are produced by NOAA/NESDIS funded by NESDIS Office of System Development onGoing DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce 301-713-3277 301-713-3302 Federal Building 151 Patton Avenue Asheville NC 28801-5001 USA NODC.Services@noaa.gov http://www.ncei.noaa.gov/ HTTP Standard Internet browser NOAA National Centers for Environmental Information website Main NCEI website providing links to access data and data services. information 8:30-6:00 PM, EST pointOfContact Robert Potash OSDPD > NOAA Office of Satellite Data Processing and Distribution 301-763-8384 none bob.potash@noaa.gov pointOfContact asNeeded http://data.nodc.noaa.gov/cgi-bin/gfx?id=gov.noaa.nodc:GHRSST-GOES13-OSPO-L2P Preview graphic PNG DOC/NOAA/NESDIS/NODC > National Oceanographic Data Center, NESDIS, NOAA, U.S. Department of Commerce DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce dataCenter Please note: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. accessLevel: Public otherRestrictions Cite as: US DOC; NOAA; NESDIS; Office of Satellite and Product Operations (OSPO) (2010). GHRSST Level 2P Western Atlantic Regional Skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES) Imager on the GOES-13 satellite (GDS versions 1 and 2). National Oceanographic Data Center, NOAA. Dataset. [access date] otherRestrictions None GHRSST Level 2P Western Atlantic Regional Skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES) Imager on the GOES-13 satellite (GDS version 2) GHRSST Sea Surface Temperature 30W-135W and 65N-50S, at 0.036 degree resolution from GOES-13 Imager 20141116 creation 1.0 NOAA/NESDIS USA, 5200 Auth Rd, Camp Springs, MD, 20746 originator NOAA/NESDIS Camp Springs, MD (USA) publisher collection userGuide IDL read software Read software Group for High Resolution Sea Surface Temperature ftp://podaac.jpl.nasa.gov/OceanTemperature/ghrsst/sw/IDL/ FTP Any FTP client IDL read software Read software custodian crossReference collection GDS2 User Manual Documentation on the GDS version 2 format specification Group for High Resolution Sea Surface Temperature ftp://podaac.jpl.nasa.gov/OceanTemperature/ghrsst/docs/GDS20r5.pdf FTP Any FTP client GDS2 User Manual Documentation on the GDS version 2 format specification custodian crossReference collection Web Service (PO.DAAC Labs) (Search Granule) Group for High Resolution Sea Surface Temperature http://podaac.jpl.nasa.gov/ws/search/granule/?datasetId=PODAAC-GHG13-2PO02 HTTP Standard Internet browser Web Service (PO.DAAC Labs) (Search Granule) custodian crossReference collection Home Page of the GHRSST Project Group for High Resolution Sea Surface Temperature http://www.ghrsst.org HTTP Standard Internet browser Home Page of the GHRSST Project Home Page of the GHRSST Project custodian crossReference collection Portal to the GHRSST Global Data Assembly Center and data access Group for High Resolution Sea Surface Temperature http://ghrsst.jpl.nasa.gov HTTP Standard Internet browser Portal to the GHRSST Global Data Assembly Center and data access Portal to the GHRSST Global Data Assembly Center and data access custodian crossReference collection grid eng utf8 environment oceans climatologyMeteorologyAtmosphere biota climatologyMeteorologyAtmosphere -135 -30 50 65 2010-06-21 This collection includes data from the following product(s): GHRSST Level 2P Western Atlantic Regional Skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES) Imager on the GOES-13 satellite (GDS version 2) (GHRSST-GOES13-OSPO-L2P-v1.0); GHRSST Level 2P Western Atlantic Regional Skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES) Imager on the GOES-13 satellite (GHRSST-OSDPD-L2P-GOES13). referenceInformation lat float lon float time int DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce 301-713-3277 301-713-3302 Federal Building 151 Patton Avenue Asheville NC 28801-5001 USA NODC.Services@noaa.gov 8:30-6:00 PM, EST pointOfContact Digital data may be downloaded from NCEI at no charge in most cases. For custom orders of digital data or to obtain a copy of analog materials, please contact NCEI Information Services Division for information about current fees. Data may be searched and downloaded using online services provided by NCEI using the online resource URLs in this record. Contact NCEI Information Services Division for custom orders. When requesting data from NCEI, the desired data set may be referred to by the unique package identification number listed in this metadata record. netCDF netCDF-4 Files are internally compressed http://www.nodc.noaa.gov/geoportal/rest/find/document?searchText=fileIdentifier%3AGHRSST-GOES13-OSPO-L2P*%20OR%20fileIdentifier%3AGOES13-OSPO-L2P*%20OR%20fileIdentifier%3AGHRSST-OSDPD-L2P-GOES13*%20OR%20fileIdentifier%3AOSDPD-L2P-GOES13*&start=1&max=100&f=SearchPage HTTP Standard Internet browser Granule Search Granule Search search http://data.nodc.noaa.gov/cgi-bin/iso?id=gov.noaa.nodc:GHRSST-GOES13-OSPO-L2P HTTP Standard Internet browser Details Navigate directly to the URL for a descriptive web page with download links. information http://data.nodc.noaa.gov/thredds/catalog/ghrsst/L2P/GOES13/OSPO/ THREDDS Standard Internet browsers can browse THREDDS Data Servers and specialized THREDDS software can enable more sophisticated data access and visualizations. THREDDS These data are available through a variety of services via a THREDDS (Thematic Real-time Environmental Distributed Data Services) Data Server (TDS). Depending on the dataset, the TDS can provide WMS, WCS, DAP, HTTP, and other data access and metadata services as well. For more information on the TDS, see http://www.unidata.ucar.edu/software/thredds/current/tds/. download http://data.nodc.noaa.gov/opendap/ghrsst/L2P/GOES13/OSPO/ DAP Standard Internet browsers can browse OPeNDAP servers and specialized OPeNDAP software can enable more sophisticated data access and visualizations. OPeNDAP These data are available through the Data Access Protocol (DAP) via an OPeNDAP Hyrax server. For a listing of OPeNDAP clients which may be used to access OPeNDAP-enabled data sets, please see the OPeNDAP website at http://opendap.org/. download http://data.nodc.noaa.gov/ghrsst/L2P/GOES13/OSPO/ HTTP Standard Internet browser Download Navigate directly to the URL for data access and direct download. download ftp://ftp.nodc.noaa.gov/pub/data.nodc/ghrsst/L2P/GOES13/OSPO/ FTP Any FTP client FTP These data are available through the File Transfer Protocol (FTP). You may use any FTP client to download these data. download repository NOAA National Centers for Environmental Information NOAA created the National Centers for Environmental Information (NCEI) by merging NOAA's National Climatic Data Center (NCDC), National Geophysical Data Center (NGDC), and National Oceanographic Data Center (NODC), including the National Coastal Data Development Center (NCDDC), per the Consolidated and Further Continuing Appropriations Act, 2015, Public Law 113-235. NCEI launched publicly on April 22, 2015. 2015-04-22T00:00:00 asNeeded Combined metadata from JPL and NCEI DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce custodian GOES-13 Imager > Geostationary Operational Environmental Satellite 13-Imager sensor he GOES Imager is a multi-channel instrument designed to sense radiant and solar-reflected energy from sampled areas of the Earth. The multi-element spectral channels simultaneously sweep east-west a GOES-13 > Geostationary Operational Environmental Satellite 13 NOAA/NESDIS USA, 5200 Auth Rd, Camp Springs, MD, 20746 sponsor NASA/JPL/PODAAC > Physical Oceanography Distributed Active Archive Center, Jet Propulsion Laboratory, NASA http://podaac.jpl.nasa.gov information sponsor isotc211_distributionInfo_20161293114572]
Actual values: [gov.noaa.nodc:GHRSST-GOES13-OSPO-L2P eng utf8 series DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce Data Officer 301-713-3272 301-713-3302 Federal Building 151 Patton Avenue Asheville NC 28801-5001 USA NODC.DataOfficer@noaa.gov http://www.ncei.noaa.gov/ HTTP Standard Internet browser NOAA National Centers for Environmental Information website Main NCEI website providing links to access data and data services. information custodian Robert Potash OSDPD > NOAA Office of Satellite Data Processing and Distribution Technical Contact 301-763-8384 none bob.potash@noaa.gov Phone/FAX/E-mail pointOfContact 2016-01-24T05:44:41 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) 2 column 0.036 row 0.036 area true GHRSST Level 2P Western Atlantic Regional Skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES) Imager on the GOES-13 satellite (GDS versions 1 and 2) GHRSST Sea Surface Temperature 30W-135W and 65N-50S, at 0.036 degree resolution from GOES-13 Imager 2011-09-07 publication 1.0 NCEI Collection Identifier gov.noaa.nodc:GHRSST-GOES13-OSPO-L2P DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce 301-713-3277 301-713-3302 Federal Building 151 Patton Avenue Asheville NC 28801-5001 USA NODC.DataOfficer@noaa.gov http://www.ncei.noaa.gov/ HTTP Standard Internet browser NOAA National Centers for Environmental Information website Main NCEI website providing links to access data and data services. information publisher DOC/NOAA/NESDIS/NODC > National Oceanographic Data Center, NESDIS, NOAA, U.S. Department of Commerce 301-713-3277 301-713-3302 1315 East-West Highway, SSMC3, 4th floor Silver Spring MD 20910-3282 USA NODC.DataOfficer@noaa.gov http://www.nodc.noaa.gov/ HTTP Standard Internet browser NOAA National Oceanographic Data Center website Main NODC website providing links to access data and data services. information publisher Edward M. Armstrong US NASA; Jet Propulsion Laboratory (818) 393-6710 MS 300/320 4800 Oak Grove Drive Pasadena CA 91109 USA edward.m.armstrong@jpl.nasa.gov resourceProvider US NASA; Jet Propulsion Laboratory; Physical Oceanography Distributed Active Archive Center (JPL PO.DAAC) 626-744-5508 4800 Oak Grove Drive Pasadena CA 91109 USA podaac@podaac.jpl.nasa.gov http://podaac.jpl.nasa.gov/index.html HTTP Standard Internet browser NASA Jet Propulsion Laboratory PO DAAC website Institution web page information resourceProvider US DOC; NOAA; NESDIS; Office of Satellite and Product Operations (OSPO) E/SP NSOF, 4231 SUITLAND ROAD SUITLAND MD 20746 USA http://www.ospo.noaa.gov/Organization/About/contact.html HTTP Standard Internet browser Office of Satellite and Product Operations website Institution web page information originator US DOC; NOAA; NESDIS; Office of Satellite and Product Operations (OSDPD) 301-457-5120 E/SP Suitland MD 20746-4304 USA originator tableDigital The Geostationary Operational Environmental Satellites (GOES) operated by the United States National Oceanographic and Atmospheric Administration (NOAA) support weather forecasting, severe storm tracking, meteorology and oceanography research. Generally there are several GOES satellites in geosynchronous orbit at any one time viewing different earth locations including the GOES-13 launched 24 May 2006. The radiometer aboard the satellite, The GOES N-P Imager, is a five channel (one visible, four infrared) imaging radiometer designed to sense radiant and solar reflected energy from sampled areas of the earth. The multi-element spectral channels simultaneously sweep east-west and west-east along a north-to-south path by means of a two-axis mirror scan system retuning telemetry in 10-bit precision. For this Group for High Resolution Sea Surface Temperature (GHRSST) dataset, skin sea surface temperature (SST) measurements are calculated from the far IR channels of GOES-13 at full resolution on a half hourly basis. In native satellite projection, vertically adjacent pixels are averaged and read out at every pixel. L2P datasets including Single Sensor Error Statistics (SSES) are then derived following the GHRSST Data Processing Specification (GDS) version 2.0. The full disk image is subsetted into granules representing distinct northern and southern regions. BASIC RESEARCH These data are produced by NOAA/NESDIS funded by NESDIS Office of System Development onGoing DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce 301-713-3277 301-713-3302 Federal Building 151 Patton Avenue Asheville NC 28801-5001 USA NODC.Services@noaa.gov http://www.ncei.noaa.gov/ HTTP Standard Internet browser NOAA National Centers for Environmental Information website Main NCEI website providing links to access data and data services. information 8:30-6:00 PM, EST pointOfContact Robert Potash OSDPD > NOAA Office of Satellite Data Processing and Distribution 301-763-8384 none bob.potash@noaa.gov pointOfContact asNeeded http://data.nodc.noaa.gov/cgi-bin/gfx?id=gov.noaa.nodc:GHRSST-GOES13-OSPO-L2P Preview graphic PNG DOC/NOAA/NESDIS/NODC > National Oceanographic Data Center, NESDIS, NOAA, U.S. Department of Commerce DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce dataCenter Please note: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. accessLevel: Public otherRestrictions Cite as: US DOC; NOAA; NESDIS; Office of Satellite and Product Operations (OSPO) (2010). GHRSST Level 2P Western Atlantic Regional Skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES) Imager on the GOES-13 satellite (GDS versions 1 and 2). National Oceanographic Data Center, NOAA. Dataset. [access date] otherRestrictions None GHRSST Level 2P Western Atlantic Regional Skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES) Imager on the GOES-13 satellite (GDS version 2) GHRSST Sea Surface Temperature 30W-135W and 65N-50S, at 0.036 degree resolution from GOES-13 Imager 20141116 creation 1.0 NOAA/NESDIS USA, 5200 Auth Rd, Camp Springs, MD, 20746 originator NOAA/NESDIS Camp Springs, MD (USA) publisher collection userGuide IDL read software Read software Group for High Resolution Sea Surface Temperature ftp://podaac.jpl.nasa.gov/OceanTemperature/ghrsst/sw/IDL/ FTP Any FTP client IDL read software Read software custodian crossReference collection GDS2 User Manual Documentation on the GDS version 2 format specification Group for High Resolution Sea Surface Temperature ftp://podaac.jpl.nasa.gov/OceanTemperature/ghrsst/docs/GDS20r5.pdf FTP Any FTP client GDS2 User Manual Documentation on the GDS version 2 format specification custodian crossReference collection Web Service (PO.DAAC Labs) (Search Granule) Group for High Resolution Sea Surface Temperature http://podaac.jpl.nasa.gov/ws/search/granule/?datasetId=PODAAC-GHG13-2PO02 HTTP Standard Internet browser Web Service (PO.DAAC Labs) (Search Granule) custodian crossReference collection Home Page of the GHRSST Project Group for High Resolution Sea Surface Temperature http://www.ghrsst.org HTTP Standard Internet browser Home Page of the GHRSST Project Home Page of the GHRSST Project custodian crossReference collection Portal to the GHRSST Global Data Assembly Center and data access Group for High Resolution Sea Surface Temperature http://ghrsst.jpl.nasa.gov HTTP Standard Internet browser Portal to the GHRSST Global Data Assembly Center and data access Portal to the GHRSST Global Data Assembly Center and data access custodian crossReference collection grid eng utf8 environment oceans climatologyMeteorologyAtmosphere biota climatologyMeteorologyAtmosphere -135 -30 50 65 2010-06-21 This collection includes data from the following product(s): GHRSST Level 2P Western Atlantic Regional Skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES) Imager on the GOES-13 satellite (GDS version 2) (GHRSST-GOES13-OSPO-L2P-v1.0); GHRSST Level 2P Western Atlantic Regional Skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES) Imager on the GOES-13 satellite (GHRSST-OSDPD-L2P-GOES13). referenceInformation lat float lon float time int DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce 301-713-3277 301-713-3302 Federal Building 151 Patton Avenue Asheville NC 28801-5001 USA NODC.Services@noaa.gov 8:30-6:00 PM, EST pointOfContact Digital data may be downloaded from NCEI at no charge in most cases. For custom orders of digital data or to obtain a copy of analog materials, please contact NCEI Information Services Division for information about current fees. Data may be searched and downloaded using online services provided by NCEI using the online resource URLs in this record. Contact NCEI Information Services Division for custom orders. When requesting data from NCEI, the desired data set may be referred to by the unique package identification number listed in this metadata record. netCDF netCDF-4 Files are internally compressed http://www.nodc.noaa.gov/geoportal/rest/find/document?searchText=fileIdentifier%3AGHRSST-GOES13-OSPO-L2P*%20OR%20fileIdentifier%3AGOES13-OSPO-L2P*%20OR%20fileIdentifier%3AGHRSST-OSDPD-L2P-GOES13*%20OR%20fileIdentifier%3AOSDPD-L2P-GOES13*&start=1&max=100&f=SearchPage HTTP Standard Internet browser Granule Search Granule Search search http://data.nodc.noaa.gov/cgi-bin/iso?id=gov.noaa.nodc:GHRSST-GOES13-OSPO-L2P HTTP Standard Internet browser Details Navigate directly to the URL for a descriptive web page with download links. information http://data.nodc.noaa.gov/thredds/catalog/ghrsst/L2P/GOES13/OSPO/ THREDDS Standard Internet browsers can browse THREDDS Data Servers and specialized THREDDS software can enable more sophisticated data access and visualizations. THREDDS These data are available through a variety of services via a THREDDS (Thematic Real-time Environmental Distributed Data Services) Data Server (TDS). Depending on the dataset, the TDS can provide WMS, WCS, DAP, HTTP, and other data access and metadata services as well. For more information on the TDS, see http://www.unidata.ucar.edu/software/thredds/current/tds/. download http://data.nodc.noaa.gov/opendap/ghrsst/L2P/GOES13/OSPO/ DAP Standard Internet browsers can browse OPeNDAP servers and specialized OPeNDAP software can enable more sophisticated data access and visualizations. OPeNDAP These data are available through the Data Access Protocol (DAP) via an OPeNDAP Hyrax server. For a listing of OPeNDAP clients which may be used to access OPeNDAP-enabled data sets, please see the OPeNDAP website at http://opendap.org/. download http://data.nodc.noaa.gov/ghrsst/L2P/GOES13/OSPO/ HTTP Standard Internet browser Download Navigate directly to the URL for data access and direct download. download ftp://ftp.nodc.noaa.gov/pub/data.nodc/ghrsst/L2P/GOES13/OSPO/ FTP Any FTP client FTP These data are available through the File Transfer Protocol (FTP). You may use any FTP client to download these data. download repository NOAA National Centers for Environmental Information NOAA created the National Centers for Environmental Information (NCEI) by merging NOAA's National Climatic Data Center (NCDC), National Geophysical Data Center (NGDC), and National Oceanographic Data Center (NODC), including the National Coastal Data Development Center (NCDDC), per the Consolidated and Further Continuing Appropriations Act, 2015, Public Law 113-235. NCEI launched publicly on April 22, 2015. 2015-04-22T00:00:00 asNeeded Combined metadata from JPL and NCEI DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce custodian GOES-13 Imager > Geostationary Operational Environmental Satellite 13-Imager sensor he GOES Imager is a multi-channel instrument designed to sense radiant and solar-reflected energy from sampled areas of the Earth. The multi-element spectral channels simultaneously sweep east-west a GOES-13 > Geostationary Operational Environmental Satellite 13 NOAA/NESDIS USA, 5200 Auth Rd, Camp Springs, MD, 20746 sponsor NASA/JPL/PODAAC > Physical Oceanography Distributed Active Archive Center, Jet Propulsion Laboratory, NASA http://podaac.jpl.nasa.gov information sponsor isotc211_distributionInfo_20161293114572]
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Actual values: [https://cn.dataone.org/cn/v2/resolve/isotc211_distributionInfo_20161293114572]
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Expected values: [The Geostationary Operational Environmental Satellites (GOES) operated by the United States National Oceanographic and Atmospheric Administration (NOAA) support weather forecasting, severe storm tracking, meteorology and oceanography research. Generally there are several GOES satellites in geosynchronous orbit at any one time viewing different earth locations including the GOES-13 launched 24 May 2006. The radiometer aboard the satellite, The GOES N-P Imager, is a five channel (one visible, four infrared) imaging radiometer designed to sense radiant and solar reflected energy from sampled areas of the earth. The multi-element spectral channels simultaneously sweep east-west and west-east along a north-to-south path by means of a two-axis mirror scan system retuning telemetry in 10-bit precision. For this Group for High Resolution Sea Surface Temperature (GHRSST) dataset, skin sea surface temperature (SST) measurements are calculated from the far IR channels of GOES-13 at full resolution on a half hourly basis. In native satellite projection, vertically adjacent pixels are averaged and read out at every pixel. L2P datasets including Single Sensor Error Statistics (SSES) are then derived following the GHRSST Data Processing Specification (GDS) version 2.0. The full disk image is subsetted into granules representing distinct northern and southern regions.]
Actual values: [The Geostationary Operational Environmental Satellites (GOES) operated by the United States National Oceanographic and Atmospheric Administration (NOAA) support weather forecasting, severe storm tracking, meteorology and oceanography research. Generally there are several GOES satellites in geosynchronous orbit at any one time viewing different earth locations including the GOES-13 launched 24 May 2006. The radiometer aboard the satellite, The GOES N-P Imager, is a five channel (one visible, four infrared) imaging radiometer designed to sense radiant and solar reflected energy from sampled areas of the earth. The multi-element spectral channels simultaneously sweep east-west and west-east along a north-to-south path by means of a two-axis mirror scan system retuning telemetry in 10-bit precision. For this Group for High Resolution Sea Surface Temperature (GHRSST) dataset, skin sea surface temperature (SST) measurements are calculated from the far IR channels of GOES-13 at full resolution on a half hourly basis. In native satellite projection, vertically adjacent pixels are averaged and read out at every pixel. L2P datasets including Single Sensor Error Statistics (SSES) are then derived following the GHRSST Data Processing Specification (GDS) version 2.0. The full disk image is subsetted into granules representing distinct northern and southern regions.]
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Expected values: [Granule Search:Navigate directly to the URL for a descriptive web page with download links.:These data are available through a variety of services via a THREDDS (Thematic Real-time Environmental Distributed Data Services) Data Server (TDS). Depending on the dataset, the TDS can provide WMS, WCS, DAP, HTTP, and other data access and metadata services as well. For more information on the TDS, see http://www.unidata.ucar.edu/software/thredds/current/tds/.:These data are available through the Data Access Protocol (DAP) via an OPeNDAP Hyrax server. For a listing of OPeNDAP clients which may be used to access OPeNDAP-enabled data sets, please see the OPeNDAP website at http://opendap.org/.:Navigate directly to the URL for data access and direct download.:These data are available through the File Transfer Protocol (FTP). You may use any FTP client to download these data.]
Actual values: [Granule Search:Navigate directly to the URL for a descriptive web page with download links.:These data are available through a variety of services via a THREDDS (Thematic Real-time Environmental Distributed Data Services) Data Server (TDS). Depending on the dataset, the TDS can provide WMS, WCS, DAP, HTTP, and other data access and metadata services as well. For more information on the TDS, see http://www.unidata.ucar.edu/software/thredds/current/tds/.:These data are available through the Data Access Protocol (DAP) via an OPeNDAP Hyrax server. For a listing of OPeNDAP clients which may be used to access OPeNDAP-enabled data sets, please see the OPeNDAP website at http://opendap.org/.:Navigate directly to the URL for data access and direct download.:These data are available through the File Transfer Protocol (FTP). You may use any FTP client to download these data.]
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Expected values: []
Actual values: []
Compared fields for: serviceEndpoint
Expected values: [http://localhost:8080/geoserver/wms?SERVICE=WMS1&, http://localhost:8080/geoserver/wms?SERVICE=WMS2&, http://localhost:8080/geoserver/wms?SERVICE=WMS3&, http://localhost:8080/geoserver/wms?SERVICE=WMS4&, http://localhost:8080/geoserver/wms?SERVICE=WMS5&, http://localhost:8080/geoserver/wms?SERVICE=WMS6&, http://localhost:8080/geoserver/wms?SERVICE=WMS7&, http://localhost:8080/geoserver/wms?SERVICE=WMS8&, http://localhost:8080/geoserver/wms?SERVICE=WMS9&, http://localhost:8080/geoserver/wms?SERVICE=WMS10&, http://localhost:8080/geoserver/wms?SERVICE=WMS11&, http://localhost:8080/geoserver/wms?SERVICE=WMS12&, http://localhost:8080/geoserver/wms?SERVICE=WMS13&, http://localhost:8080/geoserver/wms?SERVICE=WMS14&, http://localhost:8080/geoserver/wms?SERVICE=WMS15&, http://localhost:8080/geoserver/wms?SERVICE=WMS16&, http://localhost:8080/geoserver/type?distrib=info]
Actual values: [http://localhost:8080/geoserver/wms?SERVICE=WMS1&, http://localhost:8080/geoserver/wms?SERVICE=WMS2&, http://localhost:8080/geoserver/wms?SERVICE=WMS3&, http://localhost:8080/geoserver/wms?SERVICE=WMS4&, http://localhost:8080/geoserver/wms?SERVICE=WMS5&, http://localhost:8080/geoserver/wms?SERVICE=WMS6&, http://localhost:8080/geoserver/wms?SERVICE=WMS7&, http://localhost:8080/geoserver/wms?SERVICE=WMS8&, http://localhost:8080/geoserver/wms?SERVICE=WMS9&, http://localhost:8080/geoserver/wms?SERVICE=WMS10&, http://localhost:8080/geoserver/wms?SERVICE=WMS11&, http://localhost:8080/geoserver/wms?SERVICE=WMS12&, http://localhost:8080/geoserver/wms?SERVICE=WMS13&, http://localhost:8080/geoserver/wms?SERVICE=WMS14&, http://localhost:8080/geoserver/wms?SERVICE=WMS15&, http://localhost:8080/geoserver/wms?SERVICE=WMS16&, http://localhost:8080/geoserver/type?distrib=info]
Compared fields for: title
Expected values: []
Actual values: []
Compared fields for: northBoundCoord
Expected values: []
Actual values: []
Compared fields for: investigator
Expected values: [Bob Smith]
Actual values: [Bob Smith]
Compared fields for: serviceCoupling
Expected values: [tight]
Actual values: [tight]
Compared fields for: westBoundCoord
Expected values: []
Actual values: []
Compared fields for: authorSurNameSort
Expected values: [Bob Smith]
Actual values: [Bob Smith]
Compared fields for: text
Expected values: [01f48b21-4a27-461d-bbd1-11d7b2221b97 2016-02-10T13:44:24 ISO 19115:2003/19139 1.0 Test Service Description - for a WMS service in ISO19139/119 2007-12-29T12:00:00 Abstract: The ISO19139/119 metadata standard is the preferred metadata standard to use for services (WMS, WFS, WCS). Bob Smith http://geonetwork-opensource.org/ WFS WMS GEOSERVER GEONETWORK OSGeo OGC:WMS 1.1.1 NONE -20.039062500000007 0.3515624999999904 -5.441022303717958 31.503629305773032 GetCapabilities http://localhost:8080/geoserver/wms?SERVICE=WMS1& WWW:LINK-1.0-http--link Format : application/vnd.ogc.wms_xml GetMap http://localhost:8080/geoserver/wms?SERVICE=WMS2& WWW:LINK-1.0-http--link Format : image/png http://localhost:8080/geoserver/wms?SERVICE=WMS3& WWW:LINK-1.0-http--link Format : application/atom+xml http://localhost:8080/geoserver/wms?SERVICE=WMS4& WWW:LINK-1.0-http--link Format : application/openlayers http://localhost:8080/geoserver/wms?SERVICE=WMS5& WWW:LINK-1.0-http--link Format : application/pdf http://localhost:8080/geoserver/wms?SERVICE=WMS6& WWW:LINK-1.0-http--link Format : application/rss+xml http://localhost:8080/geoserver/wms?SERVICE=WMS7& WWW:LINK-1.0-http--link Format : application/vnd.google-earth.kml+xml http://localhost:8080/geoserver/wms?SERVICE=WMS8& WWW:LINK-1.0-http--link Format : application/vnd.google-earth.kmz http://localhost:8080/geoserver/wms?SERVICE=WMS9& WWW:LINK-1.0-http--link Format : image/geotiff http://localhost:8080/geoserver/wms?SERVICE=WMS10& WWW:LINK-1.0-http--link Format : image/geotiff8 http://localhost:8080/geoserver/wms?SERVICE=WMS11& WWW:LINK-1.0-http--link Format : image/gif http://localhost:8080/geoserver/wms?SERVICE=WMS12& WWW:LINK-1.0-http--link Format : image/jpeg http://localhost:8080/geoserver/wms?SERVICE=WMS13& WWW:LINK-1.0-http--link Format : image/png8 http://localhost:8080/geoserver/wms?SERVICE=WMS14& WWW:LINK-1.0-http--link Format : image/svg+xml http://localhost:8080/geoserver/wms?SERVICE=WMS15& WWW:LINK-1.0-http--link Format : image/tiff http://localhost:8080/geoserver/wms?SERVICE=WMS16& WWW:LINK-1.0-http--link Format : image/tiff8 PNG 1.0 http://localhost:8080/geoserver/type?distrib=info OGC:WMS-1.1.1-http-get-map gn:gboundaries Country boundaries iso19139_geoserver__20161293114572]
Actual values: [01f48b21-4a27-461d-bbd1-11d7b2221b97 2016-02-10T13:44:24 ISO 19115:2003/19139 1.0 Test Service Description - for a WMS service in ISO19139/119 2007-12-29T12:00:00 Abstract: The ISO19139/119 metadata standard is the preferred metadata standard to use for services (WMS, WFS, WCS). Bob Smith http://geonetwork-opensource.org/ WFS WMS GEOSERVER GEONETWORK OSGeo OGC:WMS 1.1.1 NONE -20.039062500000007 0.3515624999999904 -5.441022303717958 31.503629305773032 GetCapabilities http://localhost:8080/geoserver/wms?SERVICE=WMS1& WWW:LINK-1.0-http--link Format : application/vnd.ogc.wms_xml GetMap http://localhost:8080/geoserver/wms?SERVICE=WMS2& WWW:LINK-1.0-http--link Format : image/png http://localhost:8080/geoserver/wms?SERVICE=WMS3& WWW:LINK-1.0-http--link Format : application/atom+xml http://localhost:8080/geoserver/wms?SERVICE=WMS4& WWW:LINK-1.0-http--link Format : application/openlayers http://localhost:8080/geoserver/wms?SERVICE=WMS5& WWW:LINK-1.0-http--link Format : application/pdf http://localhost:8080/geoserver/wms?SERVICE=WMS6& WWW:LINK-1.0-http--link Format : application/rss+xml http://localhost:8080/geoserver/wms?SERVICE=WMS7& WWW:LINK-1.0-http--link Format : application/vnd.google-earth.kml+xml http://localhost:8080/geoserver/wms?SERVICE=WMS8& WWW:LINK-1.0-http--link Format : application/vnd.google-earth.kmz http://localhost:8080/geoserver/wms?SERVICE=WMS9& WWW:LINK-1.0-http--link Format : image/geotiff http://localhost:8080/geoserver/wms?SERVICE=WMS10& WWW:LINK-1.0-http--link Format : image/geotiff8 http://localhost:8080/geoserver/wms?SERVICE=WMS11& WWW:LINK-1.0-http--link Format : image/gif http://localhost:8080/geoserver/wms?SERVICE=WMS12& WWW:LINK-1.0-http--link Format : image/jpeg http://localhost:8080/geoserver/wms?SERVICE=WMS13& WWW:LINK-1.0-http--link Format : image/png8 http://localhost:8080/geoserver/wms?SERVICE=WMS14& WWW:LINK-1.0-http--link Format : image/svg+xml http://localhost:8080/geoserver/wms?SERVICE=WMS15& WWW:LINK-1.0-http--link Format : image/tiff http://localhost:8080/geoserver/wms?SERVICE=WMS16& WWW:LINK-1.0-http--link Format : image/tiff8 PNG 1.0 http://localhost:8080/geoserver/type?distrib=info OGC:WMS-1.1.1-http-get-map gn:gboundaries Country boundaries iso19139_geoserver__20161293114572]
Compared fields for: isService
Expected values: [true]
Actual values: [true]
Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/iso19139_geoserver__20161293114572]
Actual values: [https://cn.dataone.org/cn/v2/resolve/iso19139_geoserver__20161293114572]
Compared fields for: geohash_7
Expected values: []
Actual values: []
Compared fields for: contactOrganization
Expected values: []
Actual values: []
Compared fields for: geohash_6
Expected values: []
Actual values: []
Compared fields for: geohash_5
Expected values: []
Actual values: []
Compared fields for: geohash_4
Expected values: []
Actual values: []
Compared fields for: geohash_3
Expected values: []
Actual values: []
Compared fields for: geohash_2
Expected values: []
Actual values: []
Compared fields for: author
Expected values: [Bob Smith]
Actual values: [Bob Smith]
Compared fields for: geohash_1
Expected values: []
Actual values: []
Compared fields for: serviceInput
Expected values: []
Actual values: []
Compared fields for: abstract
Expected values: []
Actual values: []
Compared fields for: pubDate
Expected values: [2016-02-10T13:44:24.000Z]
Actual values: [2016-02-10T13:44:24.000Z]
Compared fields for: geohash_9
Expected values: []
Actual values: []
Compared fields for: geohash_8
Expected values: []
Actual values: []
Compared fields for: beginDate
Expected values: []
Actual values: []
Compared fields for: serviceTitle
Expected values: [Test Service Description - for a WMS service in ISO19139/119]
Actual values: [Test Service Description - for a WMS service in ISO19139/119]
Compared fields for: serviceDescription
Expected values: [Abstract: The ISO19139/119 metadata standard is the preferred metadata standard to use for services (WMS, WFS, WCS).]
Actual values: [Abstract: The ISO19139/119 metadata standard is the preferred metadata standard to use for services (WMS, WFS, WCS).]
Compared fields for: eastBoundCoord
Expected values: []
Actual values: []
Compared fields for: southBoundCoord
Expected values: []
Actual values: []
Compared fields for: rightsHolder
Expected values: [cnSandboxUCSB1]
Actual values: [cnSandboxUCSB1]
Compared fields for: submitter
Expected values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Actual values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Compared fields for: fileName
Expected values: []
Actual values: []
Compared fields for: dateUploaded
Expected values: [2016-01-12T17:30:48.415Z]
Actual values: [2016-01-12T17:30:48.415Z]
Compared fields for: seriesId
Expected values: []
Actual values: []
Compared fields for: obsoletedBy
Expected values: []
Actual values: []
Compared fields for: changePermission
Expected values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Actual values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Compared fields for: replicaMN
Expected values: []
Actual values: []
Compared fields for: readPermission
Expected values: [public]
Actual values: [public]
Compared fields for: checksum
Expected values: [5ec9ee7e9e4c34c6ab360a19328917ef]
Actual values: [5ec9ee7e9e4c34c6ab360a19328917ef]
Compared fields for: replicationAllowed
Expected values: []
Actual values: []
Compared fields for: isPublic
Expected values: [true]
Actual values: [true]
Compared fields for: id
Expected values: [isotc211_looselyCoupledServiceSrvAndDistrib]
Actual values: [isotc211_looselyCoupledServiceSrvAndDistrib]
Compared fields for: formatType
Expected values: [METADATA]
Actual values: [METADATA]
Compared fields for: authoritativeMN
Expected values: [urn:node:mnDemo6]
Actual values: [urn:node:mnDemo6]
Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/isotc211_looselyCoupledServiceSrvAndDistrib]
Actual values: [https://cn.dataone.org/cn/v2/resolve/isotc211_looselyCoupledServiceSrvAndDistrib]
Compared fields for: dateModified
Expected values: [2016-01-12T17:30:48.415Z]
Actual values: [2016-01-12T17:30:48.415Z]
Compared fields for: mediaType
Expected values: []
Actual values: []
Compared fields for: checksumAlgorithm
Expected values: [MD5]
Actual values: [MD5]
Compared fields for: mediaTypeProperty
Expected values: []
Actual values: []
Compared fields for: numberReplicas
Expected values: []
Actual values: []
Compared fields for: obsoletes
Expected values: []
Actual values: []
Compared fields for: replicaVerifiedDate
Expected values: []
Actual values: []
Compared fields for: formatId
Expected values: [http://www.isotc211.org/2005/gmd]
Actual values: [http://www.isotc211.org/2005/gmd]
Compared fields for: preferredReplicationMN
Expected values: []
Actual values: []
Compared fields for: size
Expected values: [5172]
Actual values: [5172]
Compared fields for: datasource
Expected values: [urn:node:mnDemo6]
Actual values: [urn:node:mnDemo6]
Compared fields for: blockedReplicationMN
Expected values: []
Actual values: []
Compared fields for: writePermission
Expected values: []
Actual values: []
Compared fields for: serviceType
Expected values: [WMS]
Actual values: [WMS]
Compared fields for: serviceOutput
Expected values: [https://cn-dev-ucsb-1.test.dataone.org/cn/v2/formats/image%2Fsvg%20xml, DAP/2.0]
Actual values: [https://cn-dev-ucsb-1.test.dataone.org/cn/v2/formats/image%2Fsvg%20xml, DAP/2.0]
Compared fields for: keywords
Expected values: []
Actual values: []
Compared fields for: endDate
Expected values: []
Actual values: []
Compared fields for: authorSurName
Expected values: [Bob]
Actual values: [Bob]
Compared fields for: origin
Expected values: [Bob]
Actual values: [Bob]
Compared fields for: serviceEndpoint
Expected values: [http://localhost:8080/geoserver/wms?SERVICE=WMS&, http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.html, http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.graph]
Actual values: [http://localhost:8080/geoserver/wms?SERVICE=WMS&, http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.html, http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.graph]
Compared fields for: title
Expected values: []
Actual values: []
Compared fields for: northBoundCoord
Expected values: []
Actual values: []
Compared fields for: investigator
Expected values: [Bob, Steven Baum]
Actual values: [Bob, Steven Baum]
Compared fields for: serviceCoupling
Expected values: [loose]
Actual values: [loose]
Compared fields for: westBoundCoord
Expected values: []
Actual values: []
Compared fields for: authorSurNameSort
Expected values: [Bob]
Actual values: [Bob]
Compared fields for: text
Expected values: [iso19119_looselyCoupled eng UTF8 dataset service Bob UNM owner 20151214Z ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) Test Render Service 2007-12-29T12:00:00 Abstract: A rendering service in ISO19139/119, yields an application/svg xml of given data. OGC:WMS RenderSVG http://localhost:8080/geoserver/wms?SERVICE=WMS& Renders an application/svg xml of given data. Steven Baum Texas AM University 979-458-3274 David G. Eller Bldg., Room 618A College Station TX 77843-3146 USA baum@stommel.tamu.edu distributor OPeNDAP DAP/2.0 http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.html OPeNDAP ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types. download http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.graph Viewer Information ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data. mapDigital isotc211_looselyCoupledServiceSrvAndDistrib]
Actual values: [iso19119_looselyCoupled eng UTF8 dataset service Bob UNM owner 20151214Z ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) Test Render Service 2007-12-29T12:00:00 Abstract: A rendering service in ISO19139/119, yields an application/svg xml of given data. OGC:WMS RenderSVG http://localhost:8080/geoserver/wms?SERVICE=WMS& Renders an application/svg xml of given data. Steven Baum Texas AM University 979-458-3274 David G. Eller Bldg., Room 618A College Station TX 77843-3146 USA baum@stommel.tamu.edu distributor OPeNDAP DAP/2.0 http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.html OPeNDAP ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types. download http://gcoos1.tamu.edu:8080/erddap/griddap/etopo180.graph Viewer Information ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data. mapDigital isotc211_looselyCoupledServiceSrvAndDistrib]
Compared fields for: isService
Expected values: [true]
Actual values: [true]
Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/isotc211_looselyCoupledServiceSrvAndDistrib]
Actual values: [https://cn.dataone.org/cn/v2/resolve/isotc211_looselyCoupledServiceSrvAndDistrib]
Compared fields for: geohash_7
Expected values: []
Actual values: []
Compared fields for: contactOrganization
Expected values: [UNM]
Actual values: [UNM]
Compared fields for: geohash_6
Expected values: []
Actual values: []
Compared fields for: geohash_5
Expected values: []
Actual values: []
Compared fields for: geohash_4
Expected values: []
Actual values: []
Compared fields for: geohash_3
Expected values: []
Actual values: []
Compared fields for: geohash_2
Expected values: []
Actual values: []
Compared fields for: author
Expected values: [Bob]
Actual values: [Bob]
Compared fields for: geohash_1
Expected values: []
Actual values: []
Compared fields for: serviceInput
Expected values: [https://cn-dev-ucsb-1.test.dataone.org/cn/v2/formats/CF-1.3, https://cn-dev-ucsb-1.test.dataone.org/cn/v2/formats/CF-1.4]
Actual values: [https://cn-dev-ucsb-1.test.dataone.org/cn/v2/formats/CF-1.3, https://cn-dev-ucsb-1.test.dataone.org/cn/v2/formats/CF-1.4]
Compared fields for: abstract
Expected values: []
Actual values: []
Compared fields for: pubDate
Expected values: [20151214-01-01T00:00:00.000Z]
Actual values: [20151214-01-01T00:00:00.000Z]
Compared fields for: geohash_9
Expected values: []
Actual values: []
Compared fields for: geohash_8
Expected values: []
Actual values: []
Compared fields for: beginDate
Expected values: []
Actual values: []
Compared fields for: serviceTitle
Expected values: [Test Render Service:OPeNDAP:Viewer Information]
Actual values: [Test Render Service:OPeNDAP:Viewer Information]
Compared fields for: serviceDescription
Expected values: [Abstract: A rendering service in ISO19139/119, yields an application/svg xml of given data.:ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types.:ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data.]
Actual values: [Abstract: A rendering service in ISO19139/119, yields an application/svg xml of given data.:ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types.:ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data.]
Compared fields for: eastBoundCoord
Expected values: []
Actual values: []
Compared fields for: southBoundCoord
Expected values: []
Actual values: []
Compared fields for: rightsHolder
Expected values: [cnSandboxUCSB1]
Actual values: [cnSandboxUCSB1]
Compared fields for: submitter
Expected values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Actual values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Compared fields for: fileName
Expected values: []
Actual values: []
Compared fields for: dateUploaded
Expected values: [2016-01-12T17:30:48.415Z]
Actual values: [2016-01-12T17:30:48.415Z]
Compared fields for: seriesId
Expected values: []
Actual values: []
Compared fields for: obsoletedBy
Expected values: []
Actual values: []
Compared fields for: changePermission
Expected values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Actual values: [CN=urn:node:cnSandboxUCSB1,DC=dataone,DC=org]
Compared fields for: replicaMN
Expected values: []
Actual values: []
Compared fields for: readPermission
Expected values: [public]
Actual values: [public]
Compared fields for: checksum
Expected values: [5ec9ee7e9e4c34c6ab360a19328917ef]
Actual values: [5ec9ee7e9e4c34c6ab360a19328917ef]
Compared fields for: replicationAllowed
Expected values: []
Actual values: []
Compared fields for: isPublic
Expected values: [true]
Actual values: [true]
Compared fields for: id
Expected values: [isotc211_tightlyCoupledServiceSrvOnly]
Actual values: [isotc211_tightlyCoupledServiceSrvOnly]
Compared fields for: formatType
Expected values: [METADATA]
Actual values: [METADATA]
Compared fields for: authoritativeMN
Expected values: [urn:node:mnDemo6]
Actual values: [urn:node:mnDemo6]
Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/isotc211_tightlyCoupledServiceSrvOnly]
Actual values: [https://cn.dataone.org/cn/v2/resolve/isotc211_tightlyCoupledServiceSrvOnly]
Compared fields for: dateModified
Expected values: [2016-01-12T17:30:48.415Z]
Actual values: [2016-01-12T17:30:48.415Z]
Compared fields for: mediaType
Expected values: []
Actual values: []
Compared fields for: checksumAlgorithm
Expected values: [MD5]
Actual values: [MD5]
Compared fields for: mediaTypeProperty
Expected values: []
Actual values: []
Compared fields for: numberReplicas
Expected values: []
Actual values: []
Compared fields for: obsoletes
Expected values: []
Actual values: []
Compared fields for: replicaVerifiedDate
Expected values: []
Actual values: []
Compared fields for: formatId
Expected values: [http://www.isotc211.org/2005/gmd]
Actual values: [http://www.isotc211.org/2005/gmd]
Compared fields for: preferredReplicationMN
Expected values: []
Actual values: []
Compared fields for: size
Expected values: [5172]
Actual values: [5172]
Compared fields for: datasource
Expected values: [urn:node:mnDemo6]
Actual values: [urn:node:mnDemo6]
Compared fields for: blockedReplicationMN
Expected values: []
Actual values: []
Compared fields for: writePermission
Expected values: []
Actual values: []
Compared fields for: serviceType
Expected values: [WMS]
Actual values: [WMS]
Compared fields for: serviceOutput
Expected values: [https://cn-dev-ucsb-1.test.dataone.org/cn/v2/formats/image%2Fsvg%20xml]
Actual values: [https://cn-dev-ucsb-1.test.dataone.org/cn/v2/formats/image%2Fsvg%20xml]
Compared fields for: keywords
Expected values: []
Actual values: []
Compared fields for: endDate
Expected values: []
Actual values: []
Compared fields for: authorSurName
Expected values: []
Actual values: []
Compared fields for: origin
Expected values: [UNM]
Actual values: [UNM]
Compared fields for: serviceEndpoint
Expected values: [http://localhost:8080/geoserver/wms?SERVICE=WMS&]
Actual values: [http://localhost:8080/geoserver/wms?SERVICE=WMS&]
Compared fields for: title
Expected values: []
Actual values: []
Compared fields for: northBoundCoord
Expected values: []
Actual values: []
Compared fields for: investigator
Expected values: []
Actual values: []
Compared fields for: serviceCoupling
Expected values: [tight]
Actual values: [tight]
Compared fields for: westBoundCoord
Expected values: []
Actual values: []
Compared fields for: authorSurNameSort
Expected values: []
Actual values: []
Compared fields for: text
Expected values: [iso19119_looselyCoupled eng UTF8 dataset service UNM author 20151214Z ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) Test Render Service 2007-12-29T12:00:00 Abstract: A rendering service in ISO19139/119, yields an application/svg xml of given data. OGC:WMS RenderSVG http://localhost:8080/geoserver/wms?SERVICE=WMS& Renders an application/svg xml of given data. isotc211_tightlyCoupledServiceSrvOnly]
Actual values: [iso19119_looselyCoupled eng UTF8 dataset service UNM author 20151214Z ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) Test Render Service 2007-12-29T12:00:00 Abstract: A rendering service in ISO19139/119, yields an application/svg xml of given data. OGC:WMS RenderSVG http://localhost:8080/geoserver/wms?SERVICE=WMS& Renders an application/svg xml of given data. isotc211_tightlyCoupledServiceSrvOnly]
Compared fields for: isService
Expected values: [true]
Actual values: [true]
Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/isotc211_tightlyCoupledServiceSrvOnly]
Actual values: [https://cn.dataone.org/cn/v2/resolve/isotc211_tightlyCoupledServiceSrvOnly]
Compared fields for: geohash_7
Expected values: []
Actual values: []
Compared fields for: contactOrganization
Expected values: [UNM]
Actual values: [UNM]
Compared fields for: geohash_6
Expected values: []
Actual values: []
Compared fields for: geohash_5
Expected values: []
Actual values: []
Compared fields for: geohash_4
Expected values: []
Actual values: []
Compared fields for: geohash_3
Expected values: []
Actual values: []
Compared fields for: geohash_2
Expected values: []
Actual values: []
Compared fields for: author
Expected values: []
Actual values: []
Compared fields for: geohash_1
Expected values: []
Actual values: []
Compared fields for: serviceInput
Expected values: [https://cn-dev-ucsb-1.test.dataone.org/cn/v2/resolve/somePidHere, https://cn-dev-ucsb-1.test.dataone.org/cn/v2/resolve/anotherPid]
Actual values: [https://cn-dev-ucsb-1.test.dataone.org/cn/v2/resolve/somePidHere, https://cn-dev-ucsb-1.test.dataone.org/cn/v2/resolve/anotherPid]
Compared fields for: abstract
Expected values: []
Actual values: []
Compared fields for: pubDate
Expected values: [20151214-01-01T00:00:00.000Z]
Actual values: [20151214-01-01T00:00:00.000Z]
Compared fields for: geohash_9
Expected values: []
Actual values: []
Compared fields for: geohash_8
Expected values: []
Actual values: []
Compared fields for: beginDate
Expected values: []
Actual values: []
Compared fields for: serviceTitle
Expected values: [Test Render Service]
Actual values: [Test Render Service]
Compared fields for: serviceDescription
Expected values: [Abstract: A rendering service in ISO19139/119, yields an application/svg xml of given data.]
Actual values: [Abstract: A rendering service in ISO19139/119, yields an application/svg xml of given data.]
Compared fields for: eastBoundCoord
Expected values: []
Actual values: []
Compared fields for: southBoundCoord
Expected values: []
Actual values: []
Compared fields for: rightsHolder
Expected values: [NODC]
Actual values: [NODC]
Compared fields for: submitter
Expected values: [NODC]
Actual values: [NODC]
Compared fields for: fileName
Expected values: []
Actual values: []
Compared fields for: dateUploaded
Expected values: [2015-05-08T01:47:41.356Z]
Actual values: [2015-05-08T01:47:41.356Z]
Compared fields for: seriesId
Expected values: []
Actual values: []
Compared fields for: obsoletedBy
Expected values: []
Actual values: []
Compared fields for: replicaMN
Expected values: []
Actual values: []
Compared fields for: changePermission
Expected values: []
Actual values: []
Compared fields for: readPermission
Expected values: [public]
Actual values: [public]
Compared fields for: checksum
Expected values: [ff5d7c92a8c3285f49a8f216f929f14c6b5335a3]
Actual values: [ff5d7c92a8c3285f49a8f216f929f14c6b5335a3]
Compared fields for: replicationAllowed
Expected values: [true]
Actual values: [true]
Compared fields for: isPublic
Expected values: [true]
Actual values: [true]
Compared fields for: id
Expected values: [isotc211_noaa_12345]
Actual values: [isotc211_noaa_12345]
Compared fields for: formatType
Expected values: [METADATA]
Actual values: [METADATA]
Compared fields for: authoritativeMN
Expected values: [urn:node:NODC]
Actual values: [urn:node:NODC]
Compared fields for: dataUrl
Expected values: [https://cn.dataone.org/cn/v2/resolve/isotc211_noaa_12345]
Actual values: [https://cn.dataone.org/cn/v2/resolve/isotc211_noaa_12345]
Compared fields for: dateModified
Expected values: [2015-05-08T01:47:41.391Z]
Actual values: [2015-05-08T01:47:41.391Z]
Compared fields for: mediaType
Expected values: []
Actual values: []
Compared fields for: checksumAlgorithm
Expected values: [SHA-1]
Actual values: [SHA-1]
Compared fields for: mediaTypeProperty
Expected values: []
Actual values: []
Compared fields for: numberReplicas
Expected values: [3]
Actual values: [3]
Compared fields for: obsoletes
Expected values: []
Actual values: []
Compared fields for: replicaVerifiedDate
Expected values: []
Actual values: []
Compared fields for: formatId
Expected values: [http://www.isotc211.org/2005/gmd-noaa]
Actual values: [http://www.isotc211.org/2005/gmd-noaa]
Compared fields for: preferredReplicationMN
Expected values: []
Actual values: []
Compared fields for: size
Expected values: [11406]
Actual values: [11406]
Compared fields for: datasource
Expected values: [urn:node:NODC]
Actual values: [urn:node:NODC]
Compared fields for: blockedReplicationMN
Expected values: []
Actual values: []
Compared fields for: writePermission
Expected values: []
Actual values: []
Compared fields for: serviceType
Expected values: [HTTP]
Actual values: [HTTP]
Compared fields for: serviceOutput
Expected values: []
Actual values: []
Compared fields for: keywords
Expected values: [9900233, DEPTH - OBSERVATION, WATER TEMPERATURE, bathythermograph - XBT, physical, profile, ANTON DOHRN II, CAP FINISTERRE, GAUSS, KOELN EXPRESS, UNKNOWN PLATFORMS, University of Hamburg; Institut Fuer Meereskunde, University of Hamburg; Institut Fuer Meereskunde, UNKNOWN, WORLD OCEAN CIRCULATION EXPERIMENT (WOCE), oceanography]
Actual values: [9900233, DEPTH - OBSERVATION, WATER TEMPERATURE, bathythermograph - XBT, physical, profile, ANTON DOHRN II, CAP FINISTERRE, GAUSS, KOELN EXPRESS, UNKNOWN PLATFORMS, University of Hamburg; Institut Fuer Meereskunde, University of Hamburg; Institut Fuer Meereskunde, UNKNOWN, WORLD OCEAN CIRCULATION EXPERIMENT (WOCE), oceanography]
Compared fields for: endDate
Expected values: [1998-12-12T00:00:00.000Z]
Actual values: [1998-12-12T00:00:00.000Z]
Compared fields for: authorSurName
Expected values: [Alexander Sy]
Actual values: [Alexander Sy]
Compared fields for: origin
Expected values: []
Actual values: []
Compared fields for: serviceEndpoint
Expected values: [http://accession.nodc.noaa.gov/9900233]
Actual values: [http://accession.nodc.noaa.gov/9900233]
Compared fields for: title
Expected values: [DEPTH - OBSERVATION and Other Data from UNKNOWN PLATFORMS and Other Platforms from 19980101 to 19981212 (NODC Accession 9900233)]
Actual values: [DEPTH - OBSERVATION and Other Data from UNKNOWN PLATFORMS and Other Platforms from 19980101 to 19981212 (NODC Accession 9900233)]
Compared fields for: northBoundCoord
Expected values: [65.7]
Actual values: [65.7]
Compared fields for: investigator
Expected values: [Alexander Sy]
Actual values: [Alexander Sy]
Compared fields for: serviceCoupling
Expected values: [tight]
Actual values: [tight]
Compared fields for: westBoundCoord
Expected values: [-50]
Actual values: [-50]
Compared fields for: authorSurNameSort
Expected values: [Alexander Sy]
Actual values: [Alexander Sy]
Compared fields for: text
Expected values: [isotc211_noaa_12345 eng utf8 dataset US National Oceanographic Data Center Data Officer 301-713-3272 301-713-3302 1315 East-West Highway, SSMC3, 4th floor Silver Spring MD 20910-3282 USA NODC.DataOfficer@noaa.gov http://www.nodc.noaa.gov/ HTTP Standard Internet browser US National Oceanographic Data Center website Main NODC website providing links to the NODC Geoportal and access links to data and data services. information custodian 2014-01-23T14:00:11 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) DEPTH - OBSERVATION and Other Data from UNKNOWN PLATFORMS and Other Platforms from 19980101 to 19981212 (NODC Accession 9900233) 2010-12-19 publication NODC Accession Number US National Oceanographic Data Center resourceProvider gov.noaa.nodc:9900233 US National Oceanographic Data Center 301-713-3277 301-713-3302 1315 East-West Highway, SSMC3, 4th floor Silver Spring MD 20910-3282 USA NODC.DataOfficer@noaa.gov http://www.nodc.noaa.gov/ HTTP Standard Internet browser US National Oceanographic Data Center website Main NODC website providing links to the NODC Geoportal and access links to data and data services. information publisher Alexander Sy Federal Maritime Agency - Hamburg 040-3190-3430 BERNHARD-NOCHT-STRASSE 78 HAMBURG D-20359 DEU alexander.sy@bsh.de http://www.bsh.de HTTP Standard Internet browser Federal Maritime Agency - Hamburg website Institution web page information resourceProvider University of Hamburg; Institut Fuer Meereskunde TROPLOWITZSTR, 7 HAMBURG D-2000, 54 DEU resourceProvider tableDigital BASIC RESEARCH completed US National Oceanographic Data Center NODC User Services 301-713-3277 301-713-3302 1315 East-West Highway, SSMC3, 4th floor Silver Spring MD 20910-3282 USA NODC.Services@noaa.gov http://www.nodc.noaa.gov/ HTTP Standard Internet browser US National Oceanographic Data Center website Main NODC website providing links to the NODC Geoportal and access links to data and data services. information 8:30-6:00 PM, EST pointOfContact asNeeded http://data.nodc.noaa.gov/cgi-bin/gfx?id=gov.noaa.nodc:9900233 Preview graphic PNG 9900233 NODC ACCESSION NUMBER 2000-02-29 publication DEPTH - OBSERVATION WATER TEMPERATURE theme NODC DATA TYPES THESAURUS bathythermograph - XBT instrument NODC INSTRUMENT TYPES THESAURUS physical profile theme NODC OBSERVATION TYPES THESAURUS ANTON DOHRN II CAP FINISTERRE GAUSS KOELN EXPRESS UNKNOWN PLATFORMS platform NODC PLATFORM NAMES THESAURUS University of Hamburg; Institut Fuer Meereskunde dataCenter NODC COLLECTING INSTITUTION NAMES THESAURUS University of Hamburg; Institut Fuer Meereskunde dataCenter NODC SUBMITTING INSTITUTION NAMES THESAURUS UNKNOWN WORLD OCEAN CIRCULATION EXPERIMENT (WOCE) project NODC PROJECT NAMES THESAURUS oceanography theme WMO_CategoryCode 2012-09-15 publication Please note: NOAA and NODC make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NODC cannot assume liability for any damages caused by any errors or omissions in these data. accessLevel: Public otherRestrictions Cite as: Sy, A. and University of Hamburg; Institut Fuer Meereskunde (2010). DEPTH - OBSERVATION and Other Data from UNKNOWN PLATFORMS and Other Platforms from 19980101 to 19981212 (NODC Accession 9900233). National Oceanographic Data Center, NOAA. Dataset. [access date] otherRestrictions None eng utf8 oceans environment -50 -5.7 -9 65.7 1998-01-01 1998-12-12 Note: Metadata for this accession were extracted from a legacy databasemaintained by the U.S. National Oceanographic Data Center (NODC). Thedesign of the database did not exactly reflect the FGDC ContentStandard for Digital Geospatial Metadata (CSDGM).Principal Investigator (PI) and organization contact informationaccurately represents all available information from the legacy databaseat the time that this description was created. However, properattribution of a PI to a specific institution or the role (submitting orcollecting) taken by an institution may not be correct due to inexactmapping between fields in the legacy database and the CSDGM. Due to thisuncertainty, the contact information was initially recorded in theSupplemental Information element of the CSDGM description.To develop more accurate metadata, the NODC reviews metadata for allaccessions on an ongoing basis.Points of contact for this data set include:Contact info:Agency: UNIVERSITY OF HAMBURG; INSTITUT FUER MEERESKUNDEPI: Sy, Dr. AlexanderAddress:address: TROPLOWITZSTR, 7city: HAMBURGstate: NOT AVAILABLEpostal: D-2000, 54country: GERMANY US National Oceanographic Data Center NODC User Services 301-713-3277 301-713-3302 1315 East-West Highway, SSMC3, 4th floor Silver Spring MD 20910-3282 USA NODC.Services@noaa.gov 8:30-6:00 PM, EST pointOfContact Digital data may be downloaded from NODC at no charge in most cases. For custom orders of digital data or to obtain a copy of analog materials, please contact NODC User Services for information about current fees. Data may be searched and downloaded using online services provided by the NODC using the online resource URLs in this record. Contact NODC User Services for custom orders. When requesting data from the NODC, the desired data set may be referred to by the NODC Accession Number listed in this metadata record. Originator data format http://accession.nodc.noaa.gov/9900233 HTTP Standard Internet browser Details Navigate directly to the URL for a descriptive web page with download links. information asNeeded Metadata are developed, maintained and distributed by the NODC. Updates are performed as needed to maintain currentness. DOC/NOAA/NESDIS/NODC > National Oceanographic Data Center, NESDIS, NOAA, U.S. Department of Commerce custodian isotc211_noaa_12345]
Actual values: [isotc211_noaa_12345 eng utf8 dataset US National Oceanographic Data Center Data Officer 301-713-3272 301-713-3302 1315 East-West Highway, SSMC3, 4th floor Silver Spring MD 20910-3282 USA NODC.DataOfficer@noaa.gov http://www.nodc.noaa.gov/ HTTP Standard Internet browser US National Oceanographic Data Center website Main NODC website providing links to the NODC Geoportal and access links to data and data services. information custodian 2014-01-23T14:00:11 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) DEPTH - OBSERVATION and Other Data from UNKNOWN PLATFORMS and Other Platforms from 19980101 to 19981212 (NODC Accession 9900233) 2010-12-19 publication NODC Accession Number US National Oceanographic Data Center resourceProvider gov.noaa.nodc:9900233 US National Oceanographic Data Center 301-713-3277 301-713-3302 1315 East-West Highway, SSMC3, 4th floor Silver Spring MD 20910-3282 USA NODC.DataOfficer@noaa.gov http://www.nodc.noaa.gov/ HTTP Standard Internet browser US National Oceanographic Data Center website Main NODC website providing links to the NODC Geoportal and access links to data and data services. information publisher Alexander Sy Federal Maritime Agency - Hamburg 040-3190-3430 BERNHARD-NOCHT-STRASSE 78 HAMBURG D-20359 DEU alexander.sy@bsh.de http://www.bsh.de HTTP Standard Internet browser Federal Maritime Agency - Hamburg website Institution web page information resourceProvider University of Hamburg; Institut Fuer Meereskunde TROPLOWITZSTR, 7 HAMBURG D-2000, 54 DEU resourceProvider tableDigital BASIC RESEARCH completed US National Oceanographic Data Center NODC User Services 301-713-3277 301-713-3302 1315 East-West Highway, SSMC3, 4th floor Silver Spring MD 20910-3282 USA NODC.Services@noaa.gov http://www.nodc.noaa.gov/ HTTP Standard Internet browser US National Oceanographic Data Center website Main NODC website providing links to the NODC Geoportal and access links to data and data services. information 8:30-6:00 PM, EST pointOfContact asNeeded http://data.nodc.noaa.gov/cgi-bin/gfx?id=gov.noaa.nodc:9900233 Preview graphic PNG 9900233 NODC ACCESSION NUMBER 2000-02-29 publication DEPTH - OBSERVATION WATER TEMPERATURE theme NODC DATA TYPES THESAURUS bathythermograph - XBT instrument NODC INSTRUMENT TYPES THESAURUS physical profile theme NODC OBSERVATION TYPES THESAURUS ANTON DOHRN II CAP FINISTERRE GAUSS KOELN EXPRESS UNKNOWN PLATFORMS platform NODC PLATFORM NAMES THESAURUS University of Hamburg; Institut Fuer Meereskunde dataCenter NODC COLLECTING INSTITUTION NAMES THESAURUS University of Hamburg; Institut Fuer Meereskunde dataCenter NODC SUBMITTING INSTITUTION NAMES THESAURUS UNKNOWN WORLD OCEAN CIRCULATION EXPERIMENT (WOCE) project NODC PROJECT NAMES THESAURUS oceanography theme WMO_CategoryCode 2012-09-15 publication Please note: NOAA and NODC make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NODC cannot assume liability for any damages caused by any errors or omissions in these data. accessLevel: Public otherRestrictions Cite as: Sy, A. and University of Hamburg; Institut Fuer Meereskunde (2010). DEPTH - OBSERVATION and Other Data from UNKNOWN PLATFORMS and Other Platforms from 19980101 to 19981212 (NODC Accession 9900233). National Oceanographic Data Center, NOAA. Dataset. [access date] otherRestrictions None eng utf8 oceans environment -50 -5.7 -9 65.7 1998-01-01 1998-12-12 Note: Metadata for this accession were extracted from a legacy databasemaintained by the U.S. National Oceanographic Data Center (NODC). Thedesign of the database did not exactly reflect the FGDC ContentStandard for Digital Geospatial Metadata (CSDGM).Principal Investigator (PI) and organization contact informationaccurately represents all available information from the legacy databaseat the time that this description was created. However, properattribution of a PI to a specific institution or the role (submitting orcollecting) taken by an institution may not be correct due to inexactmapping between fields in the legacy database and the CSDGM. Due to thisuncertainty, the contact information was initially recorded in theSupplemental Information element of the CSDGM description.To develop more accurate metadata, the NODC reviews metadata for allaccessions on an ongoing basis.Points of contact for this data set include:Contact info:Agency: UNIVERSITY OF HAMBURG; INSTITUT FUER MEERESKUNDEPI: Sy, Dr. AlexanderAddress:address: TROPLOWITZSTR, 7city: HAMBURGstate: NOT AVAILABLEpostal: D-2000, 54country: GERMANY US National Oceanographic Data Center NODC User Services 301-713-3277 301-713-3302 1315 East-West Highway, SSMC3, 4th floor Silver Spring MD 20910-3282 USA NODC.Services@noaa.gov 8:30-6:00 PM, EST pointOfContact Digital data may be downloaded from NODC at no charge in most cases. For custom orders of digital data or to obtain a copy of analog materials, please contact NODC User Services for information about current fees. Data may be searched and downloaded using online services provided by the NODC using the online resource URLs in this record. Contact NODC User Services for custom orders. When requesting data from the NODC, the desired data set may be referred to by the NODC Accession Number listed in this metadata record. Originator data format http://accession.nodc.noaa.gov/9900233 HTTP Standard Internet browser Details Navigate directly to the URL for a descriptive web page with download links. information asNeeded Metadata are developed, maintained and distributed by the NODC. Updates are performed as needed to maintain currentness. DOC/NOAA/NESDIS/NODC > National Oceanographic Data Center, NESDIS, NOAA, U.S. Department of Commerce custodian isotc211_noaa_12345]
Compared fields for: isService
Expected values: [true]
Actual values: [true]
Compared fields for: fileID
Expected values: [https://cn.dataone.org/cn/v2/resolve/isotc211_noaa_12345]
Actual values: [https://cn.dataone.org/cn/v2/resolve/isotc211_noaa_12345]
Compared fields for: geohash_7
Expected values: [emh1q2b]
Actual values: [emh1q2b]
Compared fields for: contactOrganization
Expected values: [US National Oceanographic Data Center]
Actual values: [US National Oceanographic Data Center]
Compared fields for: geohash_6
Expected values: [emh1q2]
Actual values: [emh1q2]
Compared fields for: geohash_5
Expected values: [emh1q]
Actual values: [emh1q]
Compared fields for: geohash_4
Expected values: [emh1]
Actual values: [emh1]
Compared fields for: geohash_3
Expected values: [emh]
Actual values: [emh]
Compared fields for: geohash_2
Expected values: [em]
Actual values: [em]
Compared fields for: author
Expected values: [Alexander Sy]
Actual values: [Alexander Sy]
Compared fields for: geohash_1
Expected values: [e]
Actual values: [e]
Compared fields for: serviceInput
Expected values: []
Actual values: []
Compared fields for: abstract
Expected values: []
Actual values: []
Compared fields for: pubDate
Expected values: [2014-01-23T14:00:11.000Z]
Actual values: [2014-01-23T14:00:11.000Z]
Compared fields for: geohash_9
Expected values: [emh1q2bnx]
Actual values: [emh1q2bnx]
Compared fields for: geohash_8
Expected values: [emh1q2bn]
Actual values: [emh1q2bn]
Compared fields for: beginDate
Expected values: [1998-01-01T00:00:00.000Z]
Actual values: [1998-01-01T00:00:00.000Z]
Compared fields for: serviceTitle
Expected values: [Details]
Actual values: [Details]
Compared fields for: serviceDescription
Expected values: [Navigate directly to the URL for a descriptive web page with download links.]
Actual values: [Navigate directly to the URL for a descriptive web page with download links.]
Compared fields for: eastBoundCoord
Expected values: [-5.7]
Actual values: [-5.7]
Compared fields for: southBoundCoord
Expected values: [-9]
Actual values: [-9]
Tests run: 10, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 2.252 sec - in org.dataone.cn.index.SolrFieldIsotc211Test
Results :
Tests run: 80, Failures: 0, Errors: 0, Skipped: 2
[JENKINS] Recording test results
Notifying upstream projects of job completion
Join notifier requires a CauseAction
[INFO] ------------------------------------------------------------------------
[INFO] BUILD SUCCESS
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 5:58.294s
[INFO] Finished at: Tue Nov 21 22:07:33 UTC 2017
[INFO] Final Memory: 53M/619M
[INFO] ------------------------------------------------------------------------
Waiting for Jenkins to finish collecting data
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