2021-04-16
Ontology to support Semantic Annotation of MOSAiC datasets housed in the Arctic Data Center (https://arcticdata.io).
MOSAiC Ontology
mosaic
https://purl.dataone.org/odo/MOSAIC_
Developed with Protege 5.5.0
Inferences using Pellet 2.2.0
The MOSAiC ontology is created at NCEAS, UCSB by staff from the Arctic Data Center, and is licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)
The MOSAiC ontology is licensed under CC BY 4.0. You are free to share (copy and redistribute the material in any medium or format) and adapt (remix, transform, and build upon the material) for any purpose, even commercially. for anypurpose, even commercially. The licensor cannot revoke these freedoms as long as you follow the license terms. You must give appropriate credit (by using the original ontology IRI for the whole ontology and original term IRIs for individual terms), provide a link to the license, and indicate if any changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
Updated 2021-09-02: New term isBasisFor (inverse hasBasis). Added missing hasChiefScientist and hasBasis triples.
Updated 2021-07-02: Added "_MOSAiC Specific Term" class that includes a description of overall ontology structure
Version 1.0.1
sello de tiempo
Beginning of a temporal entity
Comienzo de una entidad temporal.
has beginning
tiene principio
Beginning of a temporal entity.
Comienzo de una entidad temporal.
End of a temporal entity.
Final de una entidad temporal.
has end
tiene fin
End of a temporal entity.
Final de una entidad temporal.
El sistema de referencia temporal utilizado por una posición temporal o descripción de extensión.
The temporal reference system used by a temporal position or extent description.
Temporal reference system used
sistema de referencia temporal utilizado
El sistema de referencia temporal utilizado por una posición temporal o descripción de extensión.
The temporal reference system used by a temporal position or extent description.
Proporciona soporte a la asociación de una entidad temporal (instante o intervalo) a cualquier cosa.
Supports the association of a temporal entity (instant or interval) to any thing
has time
tiene tiempo
Proporciona soporte a la asociación de una entidad temporal (instante o intervalo) a cualquier cosa.
Supports the association of a temporal entity (instant or interval) to any thing
Característica arriesgada -añadida en la revisión del 2017 que no ha sido todavía utilizada de forma amplia.
Feature at risk - added in 2017 revision, and not yet widely used.
Need to add:
Domain: prov:Entity (http://www.w3.org/ns/prov#Entity)
Range: prov:Activity (http://www.w3.org/ns/prov#Activity)
Generation is the completion of production of a new entity by an activity. This entity did not exist before generation and becomes available for usage after this generation.
Need to add:
Domain: prov:Activity (http://www.w3.org/ns/prov#Activity)
Range: prov:Entity (http://www.w3.org/ns/prov#Entity)
Generation is the completion of production of a new entity by an activity. This entity did not exist before generation and becomes available for usage after this generatio
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hasChiefScientist
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isChiefScientistOf
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hasResearchLocation
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isResearchLocationOf
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hasProjectLabel
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isPartOfCampaign
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hasDatasetPart
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hasBasis
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hasEvent
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isEventFromCampaign
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has Device Long Name
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madeBySystem
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has Device Short Name
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isBasisFor
The subject matter of the content.
about
The location depicted or described in the content. For example, the location in a photograph or painting.
contentLocation
A sub property of location. The original location of the object or the agent before the action.
fromLocation
Indicates an item or CreativeWork that is part of this item, or CreativeWork (in some sense).
hasPart
Indicates an item or CreativeWork that this item, or CreativeWork (in some sense), is part of.
isPartOf
The location of, for example, where an event is happening, where an organization is located, or where an action takes place.
location
Indicates the primary entity described in some page or other CreativeWork.
mainEntity
A sub property of location. The final location of the object or the agent after the action.
toLocation
The variableMeasured property can indicate (repeated as necessary) the variables that are measured in some dataset, either described as text or as pairs of identifier and description using PropertyValue.
variableMeasured
Extensión de una entidad temporal, expresada utilizando xsd:duration.
Extent of a temporal entity, expressed using xsd:duration
has XSD duration
tiene duración XSD
Extensión de una entidad temporal, expresada utilizando xsd:duration.
Extent of a temporal entity, expressed using xsd:duration
Característica arriesgada - añadida en la revisión de 2017, y todavía no ampliamente utilizada.
Feature at risk - added in 2017 revision, and not yet widely used.
Posición de un instante, expresado utilizando xsd:dateTimeStamp.
Position of an instant, expressed using xsd:dateTimeStamp
en fecha-sello de tiempo XSD
in XSD Date-Time-Stamp
Posición de un instante, expresado utilizando xsd:dateTimeStamp.
Position of an instant, expressed using xsd:dateTimeStamp
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has Sensor ID
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has AWI Sensor Information
The end date and time of the item (in <a href="http://en.wikipedia.org/wiki/ISO_8601">ISO 8601 date format</a>).
endDate
The start date and time of the item (in <a href="http://en.wikipedia.org/wiki/ISO_8601">ISO 8601 date format</a>).
startDate
NERC Research Vessel Concept
A type of current meter capable of simultaneous measurement of current velocity at a number of different depths based on determining Doppler shift of transmitted sound.
acoustic doppler current profiler (ADCP)
A temporal entity with zero extent or duration
Una entidad temporal con una extensión o duración cero.
Time instant
instante de tiempo.
A temporal entity with zero extent or duration
Una entidad temporal con una extensión o duración cero.
A temporal interval or instant.
Un intervalo temporal o un instante.
Temporal entity
entidad temporal
A temporal interval or instant.
Un intervalo temporal o un instante.
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The CAMPAIGN (synonyms: cruise, expedition, leg) is related to a certain project. Campaign as the second level in the data model may be used as an option, but is recommended to more easily list separate sampling locations.
Campaign
Cruise
Expedition
Leg
The CAMPAIGN (synonyms: cruise, expedition, leg) is related to a certain project. Campaign as the second level in the data model may be used as an option, but is recommended to more easily list separate sampling locations.
https://wiki.pangaea.de/wiki/Campaign accessed 28APR2021
Although the Pangaea Wiki reference above specifies that the terms Campaign, Cruise, Expedition, and Leg are "synonyms", they are clearly used to indicate different phenomena in the MOSAiC website and metadata descriptors. As an example, the term "MOSAiC" appears to refer to an Expedition (cf. the main website http://mosaic-expedition.org).
On the Pangaea website for "Expeditions" (https://www.pangaea.de/expeditions/byproject/MOSAiC), however,
MOSAiC is described as a "Project" including nine "Campaigns".
From that webpage one further sees that an "Expedition Program" is shared among Campaigns that have the same Basis (e.g. Polarstern, abbreviated "PS") with, for example, PS122/4 considered a separate Campaign from PS122/5. These Campaigns however appear to be "Legs" of a single "Cruise", though on the Maps provided showing each "Leg", these each have their own unique "Cruise No."
In addition, the term "Leg" is used to describe a "Campaign", as seen here for PS122/5--
https://doi.pangaea.de/10.1594/PANGAEA.928833
or in the Comments section here for PS122/4--
https://www.pangaea.de/expeditions/events/PS122%2F4
Thus, considering the terms Campaign, Cruise, Expedition, and Leg as "synonyms" may be misleading since these can flexibly indicate quite different features.
MOSAiC is clearly not a "Leg" nor a "Cruise" nor a "Campaign". MOSAiC is most clearly an "Expedition", and a "Project", that consists of "Campaigns" that sometimes are "Legs" if they are components of an individual "Cruise" (e.g. on some common "Basis" such as the Polarstern's 122'nd "Expedition" that would be labeled "PS122".
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Person
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Chief Scientist
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Location
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The PROJECT table is the uppermost level in the data model, used to define research projects. Projects defined in this table and linked to a dataset will appear in its metaheader.
MOSAiC, the "Multidisciplinary drifting Observatory for the Study of Arctic Climate", is listed on the Pangaea site as one of numerous "International Projects", with 273 datasets as of 28APR2021 (M. Schildhauer, personal communication)
Project
The PROJECT table is the uppermost level in the data model, used to define research projects. Projects defined in this table and linked to a dataset will appear in its metaheader.
MOSAiC, the "Multidisciplinary drifting Observatory for the Study of Arctic Climate", is listed on the Pangaea site as one of numerous "International Projects", with 273 datasets as of 28APR2021 (M. Schildhauer, personal communication)
https://www.pangaea.de/projects/ accessed 28APR2021
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The Basis represents platforms (e.g. a ship) or institutions (e.g. research stations) from which campaigns were carried out or which were used to take samples (e.g. raft, helicopter, ice floe). The entry of the Basis appears in the metaheader of a data set after the campaign label.
Information about BASIS
Name: Name of ship, station, platform etc.
URL link to basis
Institute: if a basis is operated by a certain institute
Basis
The Basis represents platforms (e.g. a ship) or institutions (e.g. research stations) from which campaigns were carried out or which were used to take samples (e.g. raft, helicopter, ice floe). The entry of the Basis appears in the metaheader of a data set after the campaign label.
Information about BASIS
Name: Name of ship, station, platform etc.
URL link to basis
Institute: if a basis is operated by a certain institute
https://wiki.pangaea.de/wiki/Basis (accessed 28APR2021)
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Research Vessel
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Large Research Vessel
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The Method/device provides information about instruments (tools/gears/equipment) used to take samples or measure something during an Event. It also defines analytical equipment, tools, or publications describing a specific method used for measuring or calculation individual parameters.
Information about Method/device
Name: full official name of tool/instrument/device/gear
Abbreviation: may be used for import in an event list to avoid misspellings
URL: should contain a web address, where an official description of the device can be found
Method/Device
The Method/device provides information about instruments (tools/gears/equipment) used to take samples or measure something during an Event. It also defines analytical equipment, tools, or publications describing a specific method used for measuring or calculation individual parameters.
Information about Method/device
Name: full official name of tool/instrument/device/gear
Abbreviation: may be used for import in an event list to avoid misspellings
URL: should contain a web address, where an official description of the device can be found
https://wiki.pangaea.de/wiki/Method accessed 28APR2021
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Device Long Name
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Device Short Name
Broadband electromagnetic sensor
CTD, handheld
Sea ice buoy
Dynamic chamber surface flux system
Thermistor buoy
Snow buoy
Drift Towing Ocean Profiler
Ocean CTD buoy
Surface velocity profiler
Buoy, ice tracker
Buoy, universal tracker
Autonomous Ocean Flux Buoy
Ice corer
Helicopter
Magnaprobe Device
Ice thickness gauge Device
Snow sampler glove Method
Ice-Tethered Profiler
Buoy, radiation station
Seasonal Ice Mass Balance buoy
Atmospheric Surface Flux Station Device
Mobile radiation suite Device
Fixed-Layer Ocean Buoy
Ice-Tethered Profiler Buoy
Aircraft
Ship Weather Station
pCO2 sensor
Multibeam echosounder
Gravimetry
Magnetometer Device
Thermosalinograph
Sound velocity probe
Acoustic Doppler Current Profiler Device
FerryBox Device
Camera
L-Band Microwave Radiometer
Radar dual Ka- and Ku-band altimeter Device
Buoy, stressmeter
Digital thermistor chain
Bottom temperature recorder Device
Aerodynamic Particle Sizer Device
Hygrometer
Trap, sediment
GNSS Receiver
Flux tower
Snow fall sensor
Scatterometer
Autonomous Underwater Recorder for Acoustic Listening
Buoy, GNSS
Stress sensor
Radiation Station
Infrared camera
Underwater membrane inlet mass spectrometer
Mooring
Accoustical backscatter sensor (ABS)
Stress logger
Multiple investigations
Microwave Radiometer
Datalogger
GNSS multiband antenna
Aerosol Mass Spectrometer Device
Ablation stakes hot wire thickness gauge Device
Ice observation Method
Weather station/meteorological observation
Aerosol Observing System
Radar
Remote sensing (Light detection and ranging, LiDAR)
Automatic weather station
Fish finder echolot, EK60 / EK80
Spectrometer, trace gas
Aerosol sampler
Atmospheric Observatory Device
Floe navigation system
Radon counter
Gas chromatograph
Doppler Wind-LiDAR
Ice radar digitizing system
Spectral radiometer
2D ultrasonic anemometer Device
3D ultrasonic anemometer
Open path CO2 / H2O analyzer
Gas chromatograph - Mass spectrometer
Chemiluminescent nitrogen oxides analyzer Device
Gaseous mercury analyzer
Ozone analyzer
Particle counter, snow
Sonic anemometer
Mass spectrometer
GNSS microwave radiometer
Mesopelagic fish and jellyfish camera system FishCam
Cavity ring-down spectrometer
Chemiluminescent fast ozone analyzer Device
Cavity ring-down greenhouse gas flux analyzer
Hygrometer and RTD temperature sensor
Trace gas monitor
Ozone monitor Device
Condensation particle counter Device
Aethalometer Device
Cloud Condensation Nuclei Counter Device
Valve Device
Wideband integrated bioaerosol sensor Device
Neutral cluster and air ion spectrometer Device
Particle size magnifier Device
Dynamic Ocean Topography Buoy
this Method/Device spelled as "Laser Strain Obsering System" in source data from MOSAiC site
Laser Strain Obsering System
Laser Strain Obsering System
Snow sampler metal
Portable seismic station
Radiosonde
In situ pump
Underway water sampling Method
Snow pit Method
Laser Particle Sizer (LPS)
Surface water sample
Remotely operated sensor platform BEAST
Hydro-complex pressure sensor
Microstructure Profiler
CTD/Rosette
Terrestrial laser scanner Device
Hand pump Device
Longline deployment
Ring net
Air-sea ice CO2/CH4 flux chamber system Device
Multiple opening/closing net
Light frame on-sight keyspecies investigation
Tethered balloon
Unmanned aerial vehicle
Floe GNSS reflectometry
Ruler stick
Bucket water sampling Method
Ocean bottom seismometer Device
Air sampler
Gillnet
Snow/ice sample
Fishing rod Device
Salinometer
Borehole Jack Device
High volume air sampler Device
Buoy, acoustic doppler current profiler
RBR concerto CTD Device
Temperature sensor T-chain
Scatterometer Ku- and X-band Device
MicroRider Device
Differential global positioning system (DGPS)
Buoy
Gamma spectrometer
Buoy, drifting
NA
Ground-penetrating radar
Water pump Device
Remote operated vehicle Seebiber
Ice drill
Trap, shorttime
Mobile Eddy Covariance System
Bottle, Niskin 5-L
Apstein net
Conductivity meter
Water sample
MicroCAT
Vertical microstructure profiler
Tap
Bathythermograph
Radiation-meter
Aerosol pump Device
Broadband radiometer
Autoanalyzer
Hyperspectral camera
Cloud and aerosol spectrometer
Cloud imaging probe
Nansen closing net
Albedometer
Chamber for gas sampling
Optical particle counter
Helicopter towed system
DESY Myon Detector Device
Neutron monitor Device
Wave Radar System Device
AutoFim
Cloud camera Device
Water Vapour Isotopes Analyser Device
Strain Monitoring System
Radiometer
Sun photometer
GPS receiver
Light/Optics
Distributed temperature sensor
Cubic Aerosol Measurement Platform 2 Device
Salinity sensor
Spectroradiometer
Fish sampling Method
Buoy, CTD
Acoustical Zoological Fish Profiler
Buoy, optics
Aerosol chamber
Phytoplankton sampler
Temperature recorder
Expendable CTD
CTD, RINKO Profiler
Net radiometer
Documentation
Ice station
Thermometer probe
Vis/NIR Spectrometer
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Time MOSAiC
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NERC Terms
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ResearchLocation
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The "_MOSAiC Specific Term" class is a container to organize and isolate the terms that are most frequently used to describe the various components of the MOSAiC Expedition.
Since other established ontologies are imported into this one, a number of extraneous, non-MOSAiC relevant, and unused terms may be present and clutter the presentation. Hopefully, simply presenting this one Class for reference will enable users to enjoy the main advantages of using and exploring this Ontology.
Definitions or descriptions of these term as described on the Pangaea website are provided in the Annotation fields associated with each MOSAIC term.
The main patterns semantically modeled here are as such:
There are 9 Campaigns, which correspond most closely to a "Cruise", or "Leg" although campaigns can involve stationary or aerial platforms.
Each Campaign has a Basis, which is typically a Research Vessel (e.g. the Polarstern) or Aircraft (Polar 5 & 6).
Each Campaign has one or more Chief Scientists, and a Research Location.
The Basis of a Campaign, and its hosted Events, are indicated by the first two initials in the labels of the Campaigns and Events-- e.g. PS122/1 is the first (indicated by the '/1') Campaign (or "Leg") of the 122'nd voyage of the Polarstern (Basis). PS122/2 would be the second Campaign of the 122'nd voyage of the Polarstern, etc. Again-- these "Campaigns" are irregularly referred to elsewhere as "Legs" or "Cruises"-- with their own unique Cruise numbers.
Campaigns "host" numerous Events, meaning those Events occurred during that Campaign. Events bear cryptic labels that map to distinct Sensor or Sampling efforts that result in the collection of data. Events extend on the naming scheme for Campaigns, with a numbering system that appears to be temporally sequenced. For example, Event PS122/1_5-10 probably commenced before PS122/1_5-100. (Note that this temporal information is not captured in the Ontology as of version 1.001.)
Each Event results in the collection of data by some Sensor or Sampling Device. These "Methods and Devices" are organized under the "Method/Device" hierarchy in the MOSAiC Ontology, that includes the names of each type of Sensor/Sampling device as SubClasses. Each Method/Device SubClass can further have one to several more specifically named devices that perform that type of Measurement. For example, the "Acoustic Doppler Current Profiler Device" SubClass contains 6 specific types of ADCP sensor instruments, modeled as Instances with their "Device Long Name".
The MOSAiC team associated each Sensor/Sampling device with a "Short Name" as well. Most "Long Name" Sensor/Samplers have a only single "Short Name" associated with them (sometimes identical to the "Long Name"), but this is not always the case. For example, Device with "Long Name" = "particle size magnifer" has two Device "Short Names" associated with it-- "PSM_UHEL1" and "PSM_UHEL2".
Method/Devices are associated with Events via their "Device Long Name", through the predicate "has deployment". Details about inverse and equivalent properties that are represented in the Ontology, providing other potential ways to discover connections, are too detailed to discuss here. Consult the Ontology.
Associated with each "Short Name" in the Ontology is a URI on the Alfred Wegener Institue website, pointing to further detailed information about that Sensor, e.g. this one for one of the ADCP devices:
https://hdl.handle.net/10013/sensor.3bf53c89-fbed-4486-b5f3-2856fcd76def
A Dataset is the outcome/output of an Event. Every dataset contains measurements that can be linked to some Event that used some Device (with most detailed description provided by the URI assocated with its "Short Name"); and is from some Campaign, that was performed on some Basis with some Chief Scientist(s), and some Research Location.
(For demonstration purposes, this Ontology contains a single reference to a test dataset instance, findable by searching for "urn" -- where these assocations can be seen. We could link such datasets to specific Events, but since the Events are manifested at level of measurement values in the dataset, these associations are made evident through the Arctic Data Center search portal: http://arcticdata.io, where the PROVO "wasGeneratedBy" predicate is used.)
Comments or questions to Mark Schildhauer (schild@nceas.ucsb.edu).
_MOSAiC Specific Term
A data set is a collection of data (from one or several events that is organized in a matrix and is mostly put together in a scientific context. Data in PANGAEA are organized in predefined data sets which are quite similar to the original files uploaded by the author (e.g. one table in one Excel sheet).
The granularity of a data set depends on the type of data and the number of data points, and is primarily in the decision of the data author. In principle, a PANGAEA data set can have an unlimited number of columns and lines (excel 2003: 65,536 x 256; excel 2008: >1 Mio x 16,384) - Examples:
17 columns doi:10.1594/PANGAEA.821166
2,000,000+ lines doi:10.1594/PANGAEA.701279
22,600,000+ lines (in ascii: 551 MB; in ASE +index: 2.2 GB; export from IQ +DOI: 1.44 GB) (Fig. 2) doi:10.1594/PANGAEA.758918
A data set may contain one to many data series = parameters. Two or many data sets may be grouped into one parent set. Access restrictions can be defined for a complete data set only. Each data set consists of the data and the metadata according to ISO standard fields (ISO 19115). A data set appears on the Internet with a metaheader which contains the information as described below.
Schema.org describes "Dataset" thusly: A body of structured information describing some topic(s) of interest.
Dataset
A data set is a collection of data (from one or several events that is organized in a matrix and is mostly put together in a scientific context. Data in PANGAEA are organized in predefined data sets which are quite similar to the original files uploaded by the author (e.g. one table in one Excel sheet).
The granularity of a data set depends on the type of data and the number of data points, and is primarily in the decision of the data author. In principle, a PANGAEA data set can have an unlimited number of columns and lines (excel 2003: 65,536 x 256; excel 2008: >1 Mio x 16,384) - Examples:
17 columns doi:10.1594/PANGAEA.821166
2,000,000+ lines doi:10.1594/PANGAEA.701279
22,600,000+ lines (in ascii: 551 MB; in ASE +index: 2.2 GB; export from IQ +DOI: 1.44 GB) (Fig. 2) doi:10.1594/PANGAEA.758918
A data set may contain one to many data series = parameters. Two or many data sets may be grouped into one parent set. Access restrictions can be defined for a complete data set only. Each data set consists of the data and the metadata according to ISO standard fields (ISO 19115). A data set appears on the Internet with a metaheader which contains the information as described below.
https://wiki.pangaea.de/wiki/Data_set accessed 28APR2021
Data sets published in PANGAEA are usually associated with an EVENT (synonyms site, station). An EVENT typically refers to the sampling event at which the data was obtained. Data submitters must provide sufficient information about these events, the EVENT label and latitude/longitude being mandatory information.
EVENT is a rather generic term, depending on the type of data it can refer to (for example):
Stations (during a cruise, expedition, field campaign)
Deployments of sampling devices / sensors (device operation ID)
Sampling events/ measurements along a transect / profile
Sampling / observation time series
Geographical origin of organisms (also of culture organisms)
Time and space limited surveys
Mappings
Moorings
Multiple investigations at a single site
Field experiments
Sample labels
"Event" is ambiguous in the context of the MOSAiC Expedition, potentially indicating many different types of activities, places, or products, as described in the extract above taken verbatim from the Pangaea website.
In this Ontology, "Event" is being presented in the way it was most typically used on the MOSAiC data archive accessed through the Pangaea website-- as a "label" for a Sampling Event, involving the collection of one type of data collected by a specific type of "Method/Device", that is described by the "Device Long Name" and an associated "Device Short Name". In the PROVO ontology, a Method/Device is characterized as a System, that includes either Samplers or Sensors. This Ontology does not classify Systems as being either Samplers or Sensors, and this would be a useful enhancement for future versions.
The Event is also characterized by some additional metadata about the Latitude, Longitude, Datetime, etc. describing where and when the data were collected.
Data sets published in PANGAEA are usually associated with an EVENT (synonyms site, station). An EVENT typically refers to the sampling event at which the data was obtained. Data submitters must provide sufficient information about these events, the EVENT label and latitude/longitude being mandatory information.
EVENT is a rather generic term, depending on the type of data it can refer to (for example):
Stations (during a cruise, expedition, field campaign)
Deployments of sampling devices / sensors (device operation ID)
Sampling events/ measurements along a transect / profile
Sampling / observation time series
Geographical origin of organisms (also of culture organisms)
Time and space limited surveys
Mappings
Moorings
Multiple investigations at a single site
Field experiments
Sample labels
https://wiki.pangaea.de/wiki/Event (accessed 28APR2021)
"Event" is ambiguous in the context of the MOSAiC Expedition, potentially indicating many different types of activities, places, or products, as described in the extract above taken verbatim from the Pangaea website.
In this Ontology, "Event" is being presented in the way it was most typically used on the MOSAiC data archive accessed through the Pangaea website-- as a "label" for a Sampling Event, involving the collection of one type of data collected by a specific type of "Method/Device", that is described by the "Device Long Name" and an associated "Device Short Name". In the PROVO ontology, a Method/Device is characterized as a System, that includes either Samplers or Sensors. This Ontology does not classify Systems as being either Samplers or Sensors, and this would be a useful enhancement for future versions.
The Event is also characterized by some additional metadata about the Latitude, Longitude, Datetime, etc. describing where and when the data were collected.
Mark Schildhauer 2021, personal communication
A person (alive, dead, undead, or fictional).
Person
Entities that have a somewhat fixed, physical extension.
Place
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Rex, Markus
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PS122/5
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PS122/4
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P5_223_MOSAiC_ACA_2020
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Herber, Andreas
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Arctic Ocean
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North Greenland Sea
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Svalbard
2019-12-13
'2020-09-20'
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PS122/1
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PS122/2
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PS122/3
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AF-MOSAiC-1
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P6_222_IceBird_MOSAiC_2020
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MOSAiC20192020
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Tromsø
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Bremerhaven
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Polarstern
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Akademik Fedorov
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MOSAiC
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Multidisciplinary drifting Observatory for the Study of Arctic Climate
GEM-2 Broadband Electromagnetic Sensor
Sontek CTD Castaway
Unmanned ice station_Polar Research Institute of China
Dynamic chamber surface flux system (CO2, CH4 and H2O)
Dynamic chamber surface flux system (dimethylsulfide)
Thermistor buoy SIMBA V7 2019T68
Snow Buoy 2019S84
DTOP Ocean Profiler OUC
PacificGyre AWI-SVP5S 2019O1
Thermistor buoy SIMBA V7 2019T57
Snow Buoy 2019S79
PacificGyre AWI-SVP5S 2019O2
Thermistor buoy SIMBA V7 2019T59
Snow Buoy 2019S81
PacificGyre AWI-SVP5S 2019O3
Thermistor buoy SIMBA V7 2019T58
Snow Buoy 2019S80
PacificGyre AWI-SVP5S 2019O4
Thermistor buoy SIMBA V7 2019T72
Snow Buoy 2019S87
PacificGyre AWI-SVP5S 2019O5
Thermistor buoy SIMBA V7 2019T64
Snow Buoy 2019S86
PacificGyre AWI-SVP5S 2019O6
Thermistor buoy SIMBA V7 2019T71
Snow Buoy 2019S95
PacificGyre AWI-SVP5S 2019O7
Thermistor buoy SIMBA V7 2019T69
Snow Buoy 2019S90
PacificGyre AWI-SVP5S 2019O8
SVP-B Pacific Gyre 2019P88
SVP-B Pacific Gyre 2019P90
SVP-B Pacific Gyre 2019P91
SVP-B Pacific Gyre 2019P92
SVP Pacific Gyre 2019P101
SVP Pacific Gyre 2019P103
Surface Velocity Profiler 2019P122
Surface Velocity Profiler 2019P124
Surface Velocity Profiler 2019P125
Surface Velocity Profiler 2019P126
Pacific Gyre Ice Tracker 2019P188
Pacific Gyre Ice Tracker 2019P191
Pacific Gyre Ice Tracker 2019P193
Pacific Gyre Ice Tracker 2019P192
Pacific Gyre Ice Tracker 2019P190
Pacific Gyre Ice Tracker 2019P189
Pacific Gyre Ice Tracker 2019P194
Pacific Gyre Ice Tracker 2019P195
Pacific Gyre Ice Tracker 2019P196
Pacific Gyre Ice Tracker 2019P200
Pacific Gyre Ice Tracker 2019P198
Pacific Gyre Ice Tracker 2019P199
Pacific Gyre Ice Tracker 2019P197
Pacific Gyre Ice Tracker 2019P201
Pacific Gyre Ice Tracker 2019P202
Pacific Gyre Ice Tracker 2019P203
Pacific Gyre Ice Tracker 2019P204
Pacific Gyre Ice Tracker 2019P205
Pacific Gyre Ice Tracker 2019P206
Pacific Gyre Ice Tracker 2019P207
Pacific Gyre Ice Tracker 2019P208
Pacific Gyre Ice Tracker 2019P209
Pacific Gyre Universal Tracker 2019P182
Pacific Gyre Universal Tracker 2019P184
Pacific Gyre Universal Tracker 2019P187
TUT iSVP_PRIC 2019P135
TUT iSVP_PRIC 2019P136
TUT iSVP_PRIC 2019P137
TUT iSVP_PRIC 2019P138
TUT iSVP_PRIC 2019P139
TUT iSVP_PRIC 2019P140
TUT iSVP_PRIC 2019P142
TUT iSVP_PRIC 2019P143
TUT iSVP_PRIC 2019P144
TUT iSVP_PRIC 2019P145
TUT iSVP_PRIC 2019P146
TUT iSVP_PRIC 2019P148
TUT iSVP_PRIC 2019P149
Surface Velocity Profiler P22
Surface Velocity Profiler P123
Thermistor buoy SIMBA V1 2019T47
Autonomous Ocean Flux Buoy AOFB46
Ice Corer Kovacs Mark II
Helicopter Polarstern
GPS snow depth probe
Ice Thickness Gauge
Snow Sampler Glove
Ice-Tethered Profiler ITP111 2019W4
Radiation station 2019R9
Snow Buoy 2019S92
SIMB3 2019I1
Autonomous Ocean Flux Buoy AOFB43
Atmospheric Surface Flux Station
Mobile radiation suite
Thermistor buoy SIMBA V7 2019T67
FIO_Fixed-Layer Ocean buoy
Autonomous Ocean Flux Buoy AOFB44
SIMB3 2019I2
Ice-Tethered Profiler ITP94 2019W2
Snow Buoy 2019S93
Radiation station 2019R8
Thermistor buoy SIMBA V7 2019T65
Thermistor buoy SIMBA V7 2019T63
FIO_Ice-Tethered Profiler buoy
IMBflex 2019M30
Ice-Tethered Profiler ITP102 2019W3
Snow Buoy 2019S94
Autonomous Ocean Flux Buoy AOFB45
SIMB3 2019I3
Thermistor buoy SIMBA V7 2019T70
Electromagnetic (EM) induction sounding for sea ice thickness measurements
Weather Station
pCO2 Monitoring System General Oceanics
pCO2 Monitoring System OceanPack SAE
Multibeam Echo Sounder
Marine Gravitymeter System
Magnetometer System
Thermosalinograph Keel 1
Thermosalinograph Keel 2
Sound Velocity Transducer C-Keel
Acoustic Doppler Current Profiler
Ferrybox
Camera VIS_INFRALAN_01
Microwave Radiometer ELBARA L-band
Radar dual Ka- and Ku-band altimeter
FMI Stress buoy 1
Digital thermistor chain 11 (4.16m) from central ice floe DTC network
Digital thermistor chain 19 (4.16m) from central ice floe DTC network
Digital thermistor chain 06 (2.56m) from central ice floe DTC network
Digital thermistor chain 05 (2.56m) from central ice floe DTC network
Digital thermistor chain 04 (2.56m) from central ice floe DTC network
Digital thermistor chain 03 (2.56m) from central ice floe DTC network
Digital thermistor chain 18 (4.16m) from central ice floe DTC network
Digital thermistor chain 16 (4.16m) from central ice floe DTC network
Digital thermistor chain 15 (4.16m) from central ice floe DTC network
Digital thermistor chain 14 (4.16m) from central ice floe DTC network
Digital thermistor chain 13 (4.16m) from central ice floe DTC network
Digital thermistor chain 12 (4.16m) from central ice floe DTC network
Thermistor buoy SIMBA V7 2019T66
Thermistor buoy SIMBA V7 2019T62
bottom temperature recorder
aerodynamic particle sizer
Hygrometer for RH and temperature (interstitial inlet)
SIO McLane Sediment Trap
SIO Ice Buoy
Microwave Radiometer L-band EMIRAD2
GNSS-receiver for multi-GNSS observations
GNSS-receiver for Occultation Reflectometry and Scatterometry measurements
MetOcean SVP-I-XXGS-LP (FID4035) 2019P152
MetOcean SVP-I-XXGS-LP (FID4035) 2019P155
MetOcean SVP-I-XXGS-LP (FID4035) 2019P156
MetOcean SVP-I-XXGS-LP (FID4035) 2019P157
MetOcean SVP-I-XXGS-LP (FID4035) P153
FMI Stress buoy 3
Digital thermistor chain 21 (4.16m) from central ice floe DTC network
Digital thermistor chain 31 (5.12m) from central ice floe DTC network
Digital thermistor chain 32 (5.12m) from central ice floe DTC network
Digital thermistor chain 33 (5.12m) from central ice floe DTC network
Digital thermistor chain 20 (4.16m) from central ice floe DTC network
Digital thermistor chain 07 (2.56m) from central ice floe DTC network
flux_tower_12m_ucb
4869
https://hdl.handle.net/10013/sensor.367cb09b-9573-49fa-bf1a-4456f98a8ca4
flux_tower_30m_leeds
Visual in situ snowfall sensor
Scatterometer L-band
Marlin-Yug IceTC2/30
Snow Buoy 2019S96
AURAL-M2 0231
GNSS buoy
Dartmouth College stress sensor and datalogger
FMI radiation station
Infrared VarioCAM HDx head 625
Underway Membrane Inlet MassSpec
ECO_UNDER_ICE_INSITU_SENSORS
SIMB3 2019I4
Ultra-Wideband Software-defined Microwave Radiometer (0.5-2GHZ)
IDEAL Ice Force Panel Aquisition
Digital thermistor chain 22 (4.16m) from central ice floe DTC network
Digital thermistor chain 01 (2.56m) from central ice floe DTC network
Digital thermistor chain 02 (2.56m) from central ice floe DTC network
Digital thermistor chain 17 (4.16m) from central ice floe DTC network
Thermistor buoy SIMBA V7 2019T56
MetOcean SVP-I-XXGS-LP (FID4035) P161
UIB Longranger
Pacific Gyre Universal Tracker 2019P183
MetOcean SVP-I-XXGS-LP (FID4035) P150
MetOcean SVP-I-XXGS-LP (FID4035) P151
MetOcean SVP-I-XXGS-LP (FID4035) P158
MetOcean SVP-I-XXGS-LP (FID4035) P159
Scatterometer C-band
Marlin Yug UpTempo 25m U1
Marlin Yug UpTempo 60m U2
UIB Cluster
GNSS_JAVADd3
Digital thermistor chain 23 (4.16m) from central ice floe DTC network
Microwave Radiometer 19, 37, 89 GHz (SSMI type)
SVP Pacific Gyre P102
SVP Pacific Gyre P105
Dartmouth College Radio datalogger
4184
https://hdl.handle.net/10013/sensor.44f1ddb0-aa95-48cc-adc1-a5d80d401341
GNSS_navX_MBANT
4186
https://hdl.handle.net/10013/sensor.8860cea3-78ab-4b27-b4a7-1b43f4a2bdc4
GNSS_NTlab_FE
GRIMM
Ablation stakes hot wire thickness gauges
Ice Observation
arm_cluster_ice
arm_container_aos
arm_container_kazr
6302
https://hdl.handle.net/10013/sensor.902cb699-9f85-4142-addc-2f2a27958f86
arm_container_ops
arm_cluster_25m
Surface Velocity Profiler P127
Surface Velocity Profiler P128
Surface Velocity Profiler P16
Fishing Echo Sounder
MAX-DOAS
HiVol - Filter Sampler
Atmosphere Observatory
Floe Navi System
LoVol - Filter Sampler
Radon_counter_AWI
Thermo Scientific TRACE 1310 2
Leeds HALO Lidar
Halophotonics Streamline scanning wind lidar
Finnish Meteorological Institutes ice radar digitizing system
Ramses TRiOs SAMIP_5063
2D ultrasonic anemometer, RM Young 86004, heated
3D ultrasonic anemometer, Metek uSonic3, heated
LI-COR 7500DS open path CO2 / H2O analyzer
Agilent gas chromatograph - mass spectrometer for volatile organic compound analysis
Chemiluminescent nitrogen oxides analyzer
Tekran gaseous mercury analyzer
Thermo Scientific ozone analyzer
Particle counters spc_1104_bas
Particle counters spc_1206_bas
METEK USA-1
atmospheric pressure ionization mass spectrometer for dimethylsulfide
Full_Pol_GNSS-R
Davis Rotating Unit for Monitoring aerosol impactor
DRUM impactor
Colorado State University filter sampler for total aerosol
FishCam
FMI Stress buoy 4
FMI Stress buoy 2
CO2 / CH4 cavity ring-down spectrometer
Chemiluminescent fast ozone analyzer
Picarro cavity ring-down greenhouse gas flux analyzer, model G2311-f
Michell S8000 chilled mirror hygrometer and RTD temperature sensor
atmospheric pressure interface time of flight mass spectrometer
trace gas monitor (CH4, CO2, CO)
ozone monitor
SO2 monitor
condensation particle counter interstitial inlet
condensation particle counter total inlet
aerosol mass spectrometer
aethalometer
cloud condensation nuclei counter
scanning mobility particle sizer
valve
Wideband Integrated Bioaerosol Sensor
Neutral cluster and Air Ion Spectrometer
particle size magnifier
Dynamic Ocean Topography (DOT) Buoy
Dartmouth College Laser Strain Obsering System
Metal Snow Sampler
Portable seismic station beta
Portable seismic station gamma
Radiosonde Sounding System
MP_insitu_pump
Underway Water Sampling
Snowpit
PRIC LISST-Deep particel size analyser
Water probe
FMI Stress buoy 5
BEAST
Ice Corer Kovacs Mark III
Dynamic chamber surface flux system (ozone)
Hydro-complex
MSS 90L sno 046
Ocean City CTD
Laser scanner terrestrial
hand pump
Longline
CTD AWI-OZE (Winnie Pooh)
Ring net 150
Ringnet 53 mu
Air-sea ice CO2/CH4 flux chamber system
Multinet Midi 5 Nets
Lightframe On-sight Key species Investigation
Ringnet 1000 mu
Tethered Balloon MOSAiC-AWI
Portable seismic station alpha
DJI Mavic 2 Pro
GNSS Reflectometry equipment on MOSAiC Sea Ice Floe
Snow Thickness Ruler
Bucket Water Sampling
Colorado State University portable aerosol sampler
BALAMIS_Radiometer
Ocean Bottom Seismograph
Ice Corer Kovacs Mark V
NOAA GMD flask sampling system
MSS90L
Gill net
SI ice sampler
Fishing rod
Salinometer, hand held, Voltkraft LWT-100
Borehole Jack
CTD RBR
High Volume Air Sampler
Nortek Signature 1000 s/n 101048
Nortek Signature 1000 s/n 100098
RBR Concerto CTD s/n 60610
RBR Concerto CTD s/n 60611
T-chain (RBR)
CU Boulder/CIRES NOy inlet
Harp light
Harp salinity
Scatterometer Ku- and X-band
MicroRider
Thermistor buoy SIMBA V7 2020T60
Digital thermistor chain 25 (4.16m) from central ice floe DTC network
Digital thermistor chain 24 (4.16m) from central ice floe DTC network
Dartmouth College DGPS unit
Camera VIS_INFRALAN_02
Marlin-Yug IceBTC60/40H
Digital thermistor chain 09 (2.56m) from central ice floe DTC network
Thermistor buoy SIMBA V7 2020T61
Snow Buoy S99
Canberra AWI-Det_2
envipope2 2020E2
light ice tethered observatory 2020E1
Zenilite Iridium SBD
envipope3 2020E3
atmospheric pressure interface time of flight mass spectrometer
Digital thermistor chain 08 (2.56m) from central ice floe DTC network
GPR 1.6 GHz
ADCP_14733_IOW
water pump
Tisch 5170V-BL
DT101 imaging and bathymetric multibeam sonar
Remotely Operated Vehicle Seebiber
MagnaProbe
Kovacs 2 inch thickness drill
Sentinel Workhorse ADCP
CTD SST 48M_1495 fishing-rod
Short-term sediment trap mooring ridge
Short-term sediment trap mooring ridge (2)
short-term sediment trap mooring level ice
short-term sediment trap mooring level ice (2)
short-term sediment trap mooring level ice (3)
Mobile Eddy Covariance System 1
5L Niskin
Apstein Handnet
MSS_55_IOW
Conductometer COM-100
Seacat (SBE19) mobile CTD
falcon tube
UEA flask sampling system
CTD SST 48M_1459 fishing-rod
SBE 37 SM
VMP250 upriser
seawater tap
RBR Duet TD 85201
MetOcean SVP-I-BXGS-P (FID4031) P210
MetOcean SVP-I-BXGS-P (FID4031) P211
MetOcean SVP-I-BXGS-P (FID4031) P213
MetOcean SVP-I-BXGS-P (FID4031) P214
MetOcean SVP-I-BXGS-P (FID4031) P215
Thermistor buoy SIMBA V7 2020T75
Radiation station R12
Snow Buoy S97
Radiation station R13
MetOcean SVP-I-XXGS-LP (FID4035) P225
MetOcean SVP-I-XXGS-LP (FID4035) P226
MetOcean SVP-I-XXGS-LP (FID4035) P227
Tekran_2537B_USTC
MetOcean SVP-I-BXGS-P (FID4031) P228
Digital thermistor chain 40 (5.12m) from central ice floe DTC network
RBR Concerto CTD
PAR Surface
Condensation Particle Counter
aerosol pump
cu_ship_underway_radiation
Digital thermistor chain 10 (2.56m) from central ice floe DTC network
Leeds Galion Lidar
Scintec Sodar
Radiation station R10
N2O/CO-30-EP
Microwave Radiometer HUTRAD C-, X-, K-band
Radiation station R11
MetOcean SVP-I-XXGS-LP (FID4035) P160
Pacific Gyre Universal Tracker 2020P185
Pacific Gyre Universal Tracker 2020P186
Pacific Gyre Universal Tracker 2020P217
Pacific Gyre Universal Tracker 2020P218
Pacific Gyre Universal Tracker 2020P219
Pacific Gyre Universal Tracker 2020P220
MetOcean SVP-I-BXGS-P (FID4031) P212
Pacific Gyre Universal Tracker 2020P216
Radiation station R14
Radiation Station R20 (profile)
Digital thermistor chain 44 (4.16m) from central ice floe DTC network
Digital thermistor chain 45 (4.16m) from central ice floe DTC network
Hyperspectral camera Specim IQ
Thermistor buoy SIMBA V7 2020T73
Thermistor buoy SIMBA V7 2020T79
Thermistor buoy SIMBA V7 2020T77
Thermistor buoy SIMBA V7 2020T76
Thermistor buoy SIMBA V7 2020T74
CAPS-CAS (Cloud & Aerosol Spectrometer)
CAPS-CIP (Cloud Imaging Probe)
SPIN
Typhoon pump
DataHawk2
Nansen net
Kipp and Zonen albedometer
Metal chamber for gas
Optical Particle Counter
HELIPOD
DESY Myon Detector
Neutron Monitor
Wave Radar System
Automated Filtration for Marine Microbes
1424
https://hdl.handle.net/10013/sensor.9b645511-94bd-4a1c-933b-84eeb7fd4d82
Cloud Camera
G2132-i cavity ringdown spectrometer
neutral air ion spectrometer stern
Radiation station R15
Water Vapour Isotopes Analyser
Logger for DMS
IMBflex M27
Ablation stakes hot wire thickness gauges 11
Ablation stakes hot wire thickness gauges 12
IMBflex M26
Variocam HD handheld IR camera (UW)
Ablation stakes hot wire thickness gauges 13
ASD or similar
MSS091
SonTek Castaway CTD
Mobile Eddy Covariance System 2
Solar Light MICROTOPS II Sunphotometer
CAU_STICKLE_1
Terrestrial Laser Scanner
X6
RAAVEN
Optical Light Larm
Silixa XT-DTS SN19076
Tethered Balloon MOSAiC TROPOS (BELUGA)
Cubic Aerosol Measurement Platform 2
GoPro Hero7 Black Underwater Camera (UW)
CAU_BOEOETLE_1
YSI
General Water Sampler
Spectral Evolution spectroradiometer
RAMSES
Garmin etrex vista HCx
IOP Probe
Airsampler for C14CH4air
Peristaltic pump
Ring Net 60 cm
CAU_NOTECAM_1
Digital thermistor chain 26 (4.16m) from central ice floe DTC network
Fish sampling device
Panomax 360 Camera
Pacific Gyre Ice Tracker 2020P172
Thermistor buoy SIMBA V7 2020T84
Autonomous Ocean Flux Buoy AOFB44 2020F5
MetOcean SVP-I-BXGS-P P233
Snow Buoy S98
IMBflex M23
Snow Buoy S109
MetOcean SVP-I-BXGS-P P236
Nortek 400kHz AquaDopp pro
Nortek Vector
Satellite tracker without Barometric Sensor P115
Satellite tracker without Barometric Sensor P118
Lead CTD chain MOSAiC Leg5 ice camp
Bruncin salinity chain prototype BOS077
Digital thermistor chain RS051 MOSAiC Leg5
Digital thermistor chain RS055 MOSAiC Leg5
Digital thermistor chain RS052 MOSAiC Leg5
Digital thermistor chain RS053 MOSAiC Leg5
Digital thermistor chain RS054 MOSAiC Leg5
Digital thermistor chain RS056 MOSAiC Leg5
AZFP Buoy (s/n 076)
7406
https://hdl.handle.net/10013/sensor.4ea6be7b-b7f3-44c4-9257-4a0b10c0fdb8
ibob_078
Snow Buoy 2020S105
aerosol_chamber_mosaic
TSI_SMPS_Spain
Thermistor buoy SIMBA V7 2020T85
SIO McLane phytoplankton sampler
MetOcean SVP-I-BXGS-P P234
Thermo recorder TR52i and test 110
MetOcean SVP-I-BXGS-P P229
MetOcean SVP-I-BXGS-P P230
MetOcean SVP-I-BXGS-P P231
MetOcean SVP-I-BXGS-P P237
Thermistor buoy SIMBA V7 2020T78
Ablation stakes hot wire thickness gauges 14
Snow Buoy 2020S107
Snow Buoy 2020S106
Thermistor buoy SIMBA V7 2020T81
Marlin-Yug IceST/30
Snow Buoy 2020S108
Radiation station R22
Pacific Gyre Ice Tracker 2020P166
Pacific Gyre Ice Tracker 2020P168
Pacific Gyre Ice Tracker 2020P175
Pacific Gyre Ice Tracker 2020P165
Pacific Gyre Ice Tracker 2020P170
Pacific Gyre Ice Tracker 2020P178
Pacific Gyre Ice Tracker 2020P169
Pacific Gyre Ice Tracker 2020P164
Pacific Gyre Ice Tracker 2020P163
Pacific Gyre Ice Tracker 2020P162
Pacific Gyre Ice Tracker 2020P181
Radiation station R21
Pacific Gyre Ice Tracker 2020P176
Pacific Gyre Ice Tracker 2020P179
Pacific Gyre Ice Tracker 2020P167
Pacific Gyre Ice Tracker 2020P171
Pacific Gyre Ice Tracker 2020P180
Pacific Gyre Ice Tracker 2020P177
Pacific Gyre Ice Tracker 2020P174
PacificGyre AWI-SVP5S 2020O10
IMBflex M28
MetOcean SVP-I-BXGS-P P235
Pacific Gyre Ice Tracker 2020P173
MetOcean SVP-I-BXGS-P P232
XCTD-Deck-Unit
FMI drone Mavic 2 Pro
JFE Rinko profiler ASTD102
CO2 equilibrator for brines and meltponds pCO2 measurement
Kipp and Zonen CNR4 SN090078
FMI quadrocopter SPECTRA
Eco Mindpalace
Ice_rail (generic)
AARI thermometer
ASD LabSpec 5000
3715
https://hdl.handle.net/10013/sensor.7377349c-bad5-444d-b4cf-768c2cb6b3a8
gem2-512
5409
https://hdl.handle.net/10013/sensor.cfb7f54d-f03e-40dd-b119-a33062a12374
Orange-Crush-CTD
4412
https://hdl.handle.net/10013/sensor.a378910a-1495-45f3-8e9f-993643d8313f
UnIS_PRIC
4926
https://hdl.handle.net/10013/sensor.c1c31659-dc1a-40e4-9219-7fed92a01114
co2_ch4_chamber_portable
4927
https://hdl.handle.net/10013/sensor.bd8458e3-bdfc-4d78-a240-4c68975a064e
dms_chamber_portable
5972
https://hdl.handle.net/10013/sensor.c8cd8bdb-8a6f-4e2b-be2e-63261fc016e7
2019T68
2968
https://hdl.handle.net/10013/sensor.3c41eb78-2d28-44fa-82a9-8e6ae2c2759f
2019S84
5085
https://hdl.handle.net/10013/sensor.76a46b9f-6a63-4c14-8256-0773c7971238
2019V1
6031
https://hdl.handle.net/10013/sensor.13f42797-3c33-4bd4-a399-a82b71dc057d
2019O1
5976
https://hdl.handle.net/10013/sensor.5b3cc0d7-bb95-4246-9bae-36453aaee8c5
2019T57
2532
https://hdl.handle.net/10013/sensor.44a117dc-8d9a-4b23-8680-4dbc3a2ea769
2019S79
6236
https://hdl.handle.net/10013/sensor.43bbf212-6e9f-4993-a6df-433ca51de179
2019V2
6032
https://hdl.handle.net/10013/sensor.a9419906-752c-4c35-ad1f-1e08931650b1
2019O2
5980
https://hdl.handle.net/10013/sensor.66943a2d-d5cf-4254-b6f1-c68fac77309a
2019T59
2534
https://hdl.handle.net/10013/sensor.ec51a8ef-5ed0-43a6-86d1-a302b2589459
2019S81
6237
https://hdl.handle.net/10013/sensor.293adb77-27e0-4479-8bb1-e5942e96a8e8
2019V3
6033
https://hdl.handle.net/10013/sensor.916632f8-fe6d-4a88-8722-04ad9c446316
2019O3
5978
https://hdl.handle.net/10013/sensor.e36932e3-b2bf-4710-aec2-6eb8b1c3116d
2019T58
2533
https://hdl.handle.net/10013/sensor.c1e7e766-d55e-4065-a3ba-6ef3b9d64730
2019S80
6034
https://hdl.handle.net/10013/sensor.416b4010-c02c-4540-981c-a4a26e0ceef0
2019O4
5970
https://hdl.handle.net/10013/sensor.98145362-9fb3-4ebe-9fda-acd27dece968
2019T72
3069
https://hdl.handle.net/10013/sensor.7be0060b-4eb8-48a8-a0dc-e22856e14955
2019S87
6238
https://hdl.handle.net/10013/sensor.a50c294c-a27b-4a87-9b5c-f2d414aad7ad
2019V4
6035
https://hdl.handle.net/10013/sensor.d81ad01a-e520-4461-b94f-7c3f02061a22
2019O5
5990
https://hdl.handle.net/10013/sensor.6a855ad3-498f-481b-9ac9-fe403f888697
2019T64
3068
https://hdl.handle.net/10013/sensor.a24ac269-9cd4-4c46-bcca-7291cb700edb
2019S86
6036
https://hdl.handle.net/10013/sensor.5ff938e3-d2e5-4b00-ae41-c13b0ee7f325
2019O6
5968
https://hdl.handle.net/10013/sensor.b227482c-dc44-4154-adbf-3904c9e03982
2019T71
3978
https://hdl.handle.net/10013/sensor.77fcbe3e-8948-4c31-b7d0-49f95e4d4f1d
2019S95
6037
https://hdl.handle.net/10013/sensor.4c16e9ab-f7b0-45e7-b571-c64bf37d214a
2019O7
5964
https://hdl.handle.net/10013/sensor.74cb445a-fe43-43f4-901d-2655872bfe30
2019T69
3393
https://hdl.handle.net/10013/sensor.f7a5ef68-238b-4f4a-a82d-10a72e05508a
2019S90
6239
https://hdl.handle.net/10013/sensor.a6bca9a2-fe33-4f8c-871e-62f6a71b4bcd
2019V5
6038
https://hdl.handle.net/10013/sensor.a6f40dc4-dea5-4ea6-b0d0-510f443f5815
2019O8
2929
https://hdl.handle.net/10013/sensor.dc29431b-f849-4a6c-b4ee-76c3674b4a54
2019P88
2931
https://hdl.handle.net/10013/sensor.76044e74-6c95-4765-b0cc-89239fa70be4
2019P90
2932
https://hdl.handle.net/10013/sensor.21a67110-9ad1-451a-95c9-643e9557dd20
2019P91
2933
https://hdl.handle.net/10013/sensor.8b8a32c6-1f81-4e43-a5b5-cfa95c569e8f
2019P92
2943
https://hdl.handle.net/10013/sensor.7144db61-0fdc-40c4-af04-218b2473ad75
2019P101
2945
https://hdl.handle.net/10013/sensor.2a6676e1-c168-497e-b8c3-369b6214d62e
2019P103
3515
https://hdl.handle.net/10013/sensor.1adf116f-934a-45f4-b22b-6f188f30b866
2019P122
3517
https://hdl.handle.net/10013/sensor.63370229-a4f5-47a4-b07c-a38d5c52b676
2019P124
3518
https://hdl.handle.net/10013/sensor.a790cea7-b629-4ccc-a1fc-ecd81b977c03
2019P125
3530
https://hdl.handle.net/10013/sensor.12a198db-bbd4-4ee1-b81c-2ae974a2d053
2019P126
5722
https://hdl.handle.net/10013/sensor.38ee7932-0542-4025-85dc-d6db52b6539a
2019P188
5724
https://hdl.handle.net/10013/sensor.7445d49e-77e2-48a1-9bed-cae8a5b714f2
2019P191
5726
https://hdl.handle.net/10013/sensor.3cfc2320-25fd-4568-9d06-53f22245b408
2019P193
5725
https://hdl.handle.net/10013/sensor.1bd03c43-383f-419f-8e21-c1b2247e7eef
2019P192
5432
https://hdl.handle.net/10013/sensor.1b6723bd-1399-4e7c-8fb1-12a0d70c7c88
2019P190
5723
https://hdl.handle.net/10013/sensor.6316ebc2-130b-4cd8-969c-0c86abd34516
2019P189
5727
https://hdl.handle.net/10013/sensor.90055781-1d61-4312-82d9-d0a6208326e1
2019P194
5728
https://hdl.handle.net/10013/sensor.1f3c31d0-cac2-4245-95ab-e34487e42cf7
2019P195
5729
https://hdl.handle.net/10013/sensor.041c41da-016c-4251-a128-fc792192eed5
2019P196
5733
https://hdl.handle.net/10013/sensor.b2f7dfb5-2252-4d0e-95a8-9c4da6dc59c2
2019P200
5731
https://hdl.handle.net/10013/sensor.b39bfb44-11e8-4a3f-b6e7-24b10e438734
2019P198
5732
https://hdl.handle.net/10013/sensor.3165e653-34dd-451f-9633-6130acbb8e85
2019P199
5730
https://hdl.handle.net/10013/sensor.97cd5423-24d3-4dad-9462-ab291d355612
2019P197
5734
https://hdl.handle.net/10013/sensor.417e2edd-3d88-4544-99f9-7fa31c57fb20
2019P201
5735
https://hdl.handle.net/10013/sensor.251c2620-c3c2-4581-a517-d72078e069cd
2019P202
5736
https://hdl.handle.net/10013/sensor.d78cf31c-c0f7-4435-a7b9-19b262375a01
2019P203
5737
https://hdl.handle.net/10013/sensor.0432ff64-7b38-4ab5-9585-513099168572
2019P204
5738
https://hdl.handle.net/10013/sensor.64bb040b-2d5a-408c-84d7-ed440678f717
2019P205
5739
https://hdl.handle.net/10013/sensor.d9ef43c1-c3b3-45b6-9024-ccc29e5725e6
2019P206
5740
https://hdl.handle.net/10013/sensor.9feb4b9b-f347-44b9-9865-21dc82287f47
2019P207
5741
https://hdl.handle.net/10013/sensor.5656995c-3aef-4069-a6aa-68f31377213b
2019P208
5742
https://hdl.handle.net/10013/sensor.784fa8d9-24ed-44f7-a345-f040d9af3410
2019P209
5716
https://hdl.handle.net/10013/sensor.4205ac6c-2ed4-4339-85fa-4e59b3f91600
2019P182
5718
https://hdl.handle.net/10013/sensor.3c32a34e-5a9d-4352-b0d9-4980610f9c62
2019P184
5721
https://hdl.handle.net/10013/sensor.46c599dc-44f7-447d-9eb8-74eb843f9d2b
2019P187
5765
https://hdl.handle.net/10013/sensor.cbfef7d6-517c-403a-8a85-da8b47ca651e
2019P135
5766
https://hdl.handle.net/10013/sensor.3fbf3854-6a98-4630-a15b-5aba97c59ca9
2019P136
5767
https://hdl.handle.net/10013/sensor.bc5b4e88-1748-4b15-9a36-29b3e959a3f9
2019P137
5768
https://hdl.handle.net/10013/sensor.e8f96275-bb70-4c7a-9b9c-a37e117b035f
2019P138
5769
https://hdl.handle.net/10013/sensor.b62a5ad7-91a9-4572-8d19-8349d91d52a3
2019P139
5770
https://hdl.handle.net/10013/sensor.52eef5a3-a20e-4d1f-a50d-f2561d8b5dff
2019P140
5772
https://hdl.handle.net/10013/sensor.a53a7adc-1118-41fe-acc1-6d0105f67b75
2019P142
5773
https://hdl.handle.net/10013/sensor.7c04510a-a9a3-46c5-b07c-5cf36c3ee528
2019P143
5774
https://hdl.handle.net/10013/sensor.aa5b7283-a316-4f7f-a287-67a3a6876050
2019P144
5775
https://hdl.handle.net/10013/sensor.9164c699-ae04-4d7c-afe6-7e2b4ccd3bef
2019P145
5776
https://hdl.handle.net/10013/sensor.fdd17aca-9a6d-491b-bfb5-4bda21210830
2019P146
5778
https://hdl.handle.net/10013/sensor.ebddd715-aa0f-41df-8f03-bb38ec8ea583
2019P148
5779
https://hdl.handle.net/10013/sensor.7eb5969a-e279-48e6-bcb7-78827a45acb4
2019P149
2483
https://hdl.handle.net/10013/sensor.0d67c779-7b1a-4ad9-b181-aa0e7d91d3a7
2019P22
3516
https://hdl.handle.net/10013/sensor.29fceb29-6d4f-4d82-9366-f73b2f55a2fb
2019P123
5982
https://hdl.handle.net/10013/sensor.68d54397-dede-4c22-92de-bb369d63f237
2019T47
6215
https://hdl.handle.net/10013/sensor.ddb388a9-f87e-412d-acd3-b338f903c1f7
2019F4
5065
https://hdl.handle.net/10013/sensor.92d7a12d-46c7-4e10-933c-61b62e86b518
SI_corer_9cm
4332
https://hdl.handle.net/10013/sensor.50176d2b-6378-4b9f-98f3-2a09e940f572
Heli-PS
3716
https://hdl.handle.net/10013/sensor.068656f3-e9bb-49e6-90ee-1b01d772d7f6
gem2-556
4889
https://hdl.handle.net/10013/sensor.e4f0b19e-71bc-432e-a074-93fab32d6b12
magnaprobe-anja
6179
https://hdl.handle.net/10013/sensor.5e7078ef-75f5-41c3-adbf-71fefec65402
ice_gauge
6140
https://hdl.handle.net/10013/sensor.5441dc27-8ca5-49cf-9452-0608fa889ad7
snow_sampler_glove
5092
https://hdl.handle.net/10013/sensor.3fa86ce9-3b79-4c52-b2d3-7cb315ff00ff
2019W4
3359
https://hdl.handle.net/10013/sensor.64c205d9-e5b9-4802-98a6-2396b19d94fa
2019R9
3892
https://hdl.handle.net/10013/sensor.98d6019f-49d6-47be-bd29-de86531bccce
2019S92
5999
https://hdl.handle.net/10013/sensor.beded052-74b2-4801-9030-0d346d3dbce3
2019I1
5076
https://hdl.handle.net/10013/sensor.bd34849f-0abf-49ad-87d2-d9fd5787f0e9
2019F1
5192
https://hdl.handle.net/10013/sensor.b0db0af2-2c8f-49f5-98ea-f5ce823ea59f
ASFS_40_UCB
5062
https://hdl.handle.net/10013/sensor.3d62d64d-8992-4404-82f8-522efbc91198
MRS_1_UCB
5996
https://hdl.handle.net/10013/sensor.10e97fbb-82c6-453a-ac10-2052560cb75c
2019T67
4592
https://hdl.handle.net/10013/sensor.f84135fa-58f0-4d4e-861d-cf0fb164b886
FIO_FIO
5039
https://hdl.handle.net/10013/sensor.2526bc73-b350-414e-900b-f0bfa7bae37e
ASFS_30_UCB
6213
https://hdl.handle.net/10013/sensor.8f388295-c0d7-4a44-8b4c-3ce5f304d8e5
2019F2
6001
https://hdl.handle.net/10013/sensor.f1f732c7-7f08-4042-b285-b5740189eaed
2019I2
5090
https://hdl.handle.net/10013/sensor.b771e4be-031e-4341-879a-745e596442ab
2019W2
3976
https://hdl.handle.net/10013/sensor.86355238-f9d1-435e-8c72-38c95d371332
2019S93
3352
https://hdl.handle.net/10013/sensor.359674a5-9fe3-469a-ae3f-fcbf740bd9a3
2019R8
5992
https://hdl.handle.net/10013/sensor.2795c29b-0e1f-4cb1-a3f7-0e4df69e33c2
2019T65
5988
https://hdl.handle.net/10013/sensor.e5e64153-23d9-4eb1-a078-8fa6c4459290
2019T63
4606
https://hdl.handle.net/10013/sensor.c08726bd-2fd6-4e95-9a7f-c7d271456a89
FIO_ITP
5109
https://hdl.handle.net/10013/sensor.8f23e784-724b-41cf-b95c-47bac9f68231
2019M30
5091
https://hdl.handle.net/10013/sensor.61890a1e-15b5-4bb9-a7b1-bb8cbcd0aea7
2019W3
3977
https://hdl.handle.net/10013/sensor.a91db810-4e17-405c-b11c-bb1ea6b4fa04
2019S94
6214
https://hdl.handle.net/10013/sensor.ae8b5369-1b5f-4ce4-8c18-bb038824ce5a
2019F3
5197
https://hdl.handle.net/10013/sensor.93402aba-f69e-4bc0-8121-355687e63bfb
ASFS_50_UCB
6003
https://hdl.handle.net/10013/sensor.07da25fe-b080-488b-9088-69e045088aaa
2019I3
5966
https://hdl.handle.net/10013/sensor.91cbfba5-8459-4964-bd02-270095635d0e
2019T70
6807
https://hdl.handle.net/10013/sensor.4facb6dc-3b8b-4d4b-bc9f-6812e9e95886
EM_Bird
22
https://hdl.handle.net/10013/sensor.14ff286a-af24-4be9-b751-6624db07ddd0
Weather
1398
https://hdl.handle.net/10013/sensor.c1d22fe9-9fd7-47c3-a618-bd88af336258
pCO2_GO_PS
74
https://hdl.handle.net/10013/sensor.cc39a224-58b6-47c9-b1e0-4f4e85f307ac
pCO2_Sub_PS
1393
https://hdl.handle.net/10013/sensor.449436da-cfd7-4d18-8577-fa238491dcfa
Hydrosweep DS3
1406
https://hdl.handle.net/10013/sensor.d519dcbb-77bf-4542-9a6b-60792ce3bd26
Gravimeter
1407
https://hdl.handle.net/10013/sensor.78be97fc-f13c-4667-9592-150f115c2929
Magnetometer
87
https://hdl.handle.net/10013/sensor.1dfe92c9-d3fa-4b74-996d-1fdf9603f2e9
TSK1
1337
https://hdl.handle.net/10013/sensor.3d9cfaa1-be4b-46bb-8f26-70f6799c1c22
TSK2
1396
https://hdl.handle.net/10013/sensor.b2b4df14-a175-4305-b40b-744877b23770
SVT
625
https://hdl.handle.net/10013/sensor.34be1bec-a599-464c-9c1e-f91107330423
ADCP
61
https://hdl.handle.net/10013/sensor.8590c648-6e2a-4c82-92a6-334ca6533ab0
FB_PS
4189
https://hdl.handle.net/10013/sensor.d19ffa2b-b86e-4f40-b4c6-d50aead7cdba
VIS_INFRALAN_01
3594
https://hdl.handle.net/10013/sensor.a6725904-fde8-44cd-ac1e-231b390cba5d
ELBARA
3537
https://hdl.handle.net/10013/sensor.dbcf387f-958a-4562-80ba-9003d395dbde
KuKa_Radar
4914
https://hdl.handle.net/10013/sensor.77674eb2-30e4-4071-84b9-4910b99df332
fmistressbuoy_1
4738
https://hdl.handle.net/10013/sensor.0b0f2935-be7e-4fcd-8383-775245870324
DTC11_416
4746
https://hdl.handle.net/10013/sensor.dfdceaf6-ab5e-4311-8953-b77ab6709175
DTC19_416
4733
https://hdl.handle.net/10013/sensor.5a01159c-ce62-4fec-a3bc-c2f98f7a3fca
DTC06_256
4732
https://hdl.handle.net/10013/sensor.5b034dbf-fe29-490e-b93f-8200af0cd982
DTC05_256
4731
https://hdl.handle.net/10013/sensor.3eaefadb-1baa-4b7d-a627-5cee8e684886
DTC04_256
4730
https://hdl.handle.net/10013/sensor.4e32c80a-c31c-466f-9a8b-218a1f2a4407
DTC03_256
4745
https://hdl.handle.net/10013/sensor.cf136e8c-e7e2-497c-96fb-cb58555bed5e
DTC18_416
4743
https://hdl.handle.net/10013/sensor.825abd3d-4ee4-41be-8809-7c13d4db5e33
DTC16_416
4742
https://hdl.handle.net/10013/sensor.c36494e6-6115-498e-b140-25194238367b
DTC15_416
4741
https://hdl.handle.net/10013/sensor.616c2360-5588-46b2-aec5-9c5ff01cf9ef
DTC14_416
4740
https://hdl.handle.net/10013/sensor.cde9279d-ea4b-4aa9-9011-257dd0b06ccb
DTC13_416
4739
https://hdl.handle.net/10013/sensor.c8806429-65f0-466e-8c2b-b9c20c82929b
DTC12_416
5994
https://hdl.handle.net/10013/sensor.55dbaa02-5264-4b50-ba47-32b9080edc30
2019T66
5986
https://hdl.handle.net/10013/sensor.e6cabfe6-5db2-4050-bc45-ba0d97371ad7
2019T62
5413
https://hdl.handle.net/10013/sensor.6dc6f4e9-5aae-434e-b19c-2172b1ef21e8
Tpop_61
4292
https://hdl.handle.net/10013/sensor.773d1ccc-59b0-4450-8b8a-226a8b9abe12
APS_PSI
6152
https://hdl.handle.net/10013/sensor.e80c0273-822d-411b-ac22-68f13b1bf74f
RH_inter_PSI
6153
https://hdl.handle.net/10013/sensor.e644bf1b-98f6-4b34-9eac-191aaa0fe17d
RH_total_PSI
6011
https://hdl.handle.net/10013/sensor.aac5f28b-0f46-4c9e-a02a-813511bdf80c
SIO_SedTrap_McLaneM78H-21
6012
https://hdl.handle.net/10013/sensor.cc782e9f-a387-4d1a-b2d7-6371cbaff590
SIO_IceBuoy_custom
4179
https://hdl.handle.net/10013/sensor.88504c1f-dfd3-415a-9e49-49f169f70629
EMIRAD2
4076
https://hdl.handle.net/10013/sensor.c3d3edb1-48e1-45ac-8546-a811628947ce
GNSS-receiver-TINY
4075
https://hdl.handle.net/10013/sensor.3e7f2b20-12ae-4ce6-aded-c4687b72a103
GNSS-receiver-GORS
6059
https://hdl.handle.net/10013/sensor.63804599-e096-421a-94bc-c37af1200bf5
2019P152
6060
https://hdl.handle.net/10013/sensor.77c4b65d-6ec4-4613-bf31-23a92de79230
2019P155
6061
https://hdl.handle.net/10013/sensor.1091d948-b05f-4e94-b631-cf8df50a378e
2019P156
6062
https://hdl.handle.net/10013/sensor.c6f19374-4eef-4a97-b845-15db9490592b
2019P157
6049
https://hdl.handle.net/10013/sensor.ab17a42d-6339-478e-b99c-722b1d775d20
2019P153
4916
https://hdl.handle.net/10013/sensor.94434efe-c9ff-43f6-8699-2fddd5ee8ab3
fmistressbuoy_3
4748
https://hdl.handle.net/10013/sensor.9dc78131-4558-4d36-82c3-3ffdcd217766
DTC21_416
4758
https://hdl.handle.net/10013/sensor.bd8d956e-e852-4711-a79d-d856d50283da
DTC31_512
4759
https://hdl.handle.net/10013/sensor.fea09684-fabd-43a2-9d8a-f00fa18af39b
DTC32_512
4760
https://hdl.handle.net/10013/sensor.c66b0315-fe43-4fe9-9917-829db4c64143
DTC33_512
4747
https://hdl.handle.net/10013/sensor.52607645-8442-4890-87dc-929228b7f370
DTC20_416
4734
https://hdl.handle.net/10013/sensor.97b69488-8293-40ad-a7b0-f5e4e13710d2
DTC07_256
5026
https://hdl.handle.net/10013/sensor.c67a37b8-f020-460b-b864-1a60cc89b5f1
flux_tower_12m_ucb
flux_tower_30m_leeds
4282
https://hdl.handle.net/10013/sensor.220e85e2-518c-4770-a9e0-511994831de6
VISSS_CUB
5417
https://hdl.handle.net/10013/sensor.3c82049d-25b1-4bf6-be3c-5a94bf0e0f89
Tpop_65
4182
https://hdl.handle.net/10013/sensor.afba3127-cc79-4f57-8814-0c1f953c7a77
Scat-L
5179
https://hdl.handle.net/10013/sensor.5cd00b3e-a333-46c3-91bb-5903ec7dba4b
TC2_178606
3979
https://hdl.handle.net/10013/sensor.6fe87b24-9953-46c6-afce-073da28c89b7
2019S96
6088
https://hdl.handle.net/10013/sensor.312389d2-114c-4f14-ad6e-8157e693f1b4
AU0231
5527
https://hdl.handle.net/10013/sensor.c8d63635-73f1-43f6-8d14-7803088c8c01
GNSS_UoH_SP_S2
5524
https://hdl.handle.net/10013/sensor.eb9e2a6e-bde4-4738-a675-0bc77d5b1a8e
GNSS_UoH_SP_S1
5435
https://hdl.handle.net/10013/sensor.5e571926-02eb-4512-91fb-cbf327f62d3e
DC_stress_sensor_1
5436
https://hdl.handle.net/10013/sensor.d4725456-4349-4886-84a0-91d3b42e32d4
DC_stress_sensor_2
5437
https://hdl.handle.net/10013/sensor.7dbe605f-be38-4d1d-ac8b-fe0bd885d035
DC_stress_sensor_3
5438
https://hdl.handle.net/10013/sensor.37dba97e-b7aa-43b9-8980-f0399711b18b
DC_stress_sensor_4
4522
https://hdl.handle.net/10013/sensor.fe4313db-d48d-4cba-80c3-a4f8b45cdf9a
FMI_rad
4191
https://hdl.handle.net/10013/sensor.640f23d7-1785-4b87-91a8-70d088f5ee21
IR_VarioCAM_01
3204
https://hdl.handle.net/10013/sensor.410e7ee6-7303-4896-9cc7-8259a5e11166
UW-MIMS_PS
6206
https://hdl.handle.net/10013/sensor.9c092cba-3092-45fe-95ca-b6a7ee8e4ad8
ECO_UIS
6005
https://hdl.handle.net/10013/sensor.e37d1d3a-dd1a-46d1-b5f9-0a580cba2a2a
2019I4
3591
https://hdl.handle.net/10013/sensor.e2a5130d-958b-4f15-976a-9d32ee8a45c9
UWBRAD
5528
https://hdl.handle.net/10013/sensor.db860cec-f915-4fef-a7a1-28deebc6b8b9
GNSS_UoH_SP_S3
4663
https://hdl.handle.net/10013/sensor.9e8bce1a-68a4-4515-8fda-5c352113175b
Stress_Logger_HSVA
4749
https://hdl.handle.net/10013/sensor.5b8ab4f7-f5ec-489a-9391-c8ccd8984cf0
DTC22_416
4728
https://hdl.handle.net/10013/sensor.69021974-cbc7-41f1-ac52-994bac37e763
DTC01_256
4729
https://hdl.handle.net/10013/sensor.516eeae0-cbe3-47d5-a3fa-7829e53c672d
DTC02_256
4744
https://hdl.handle.net/10013/sensor.7ce1c5d7-94d1-42cd-99d6-593c7a0bff61
DTC17_416
5974
https://hdl.handle.net/10013/sensor.8580c1e1-3b7b-4d9e-8d5e-9cf9211a69f8
2019T56
6054
https://hdl.handle.net/10013/sensor.7de4a11c-0138-466d-a511-c1d2dd700fd7
2019P161
6299
https://hdl.handle.net/10013/sensor.b40266a8-e4a2-4e1c-844a-690a60c87a02
uib_longranger
5717
https://hdl.handle.net/10013/sensor.ca7d1d7e-45d3-4e17-8173-81119d8713ae
2019P183
6047
https://hdl.handle.net/10013/sensor.4700be5c-c9c1-4aad-b2bb-108ef6b8072c
2019P150
6048
https://hdl.handle.net/10013/sensor.e9027bc6-d9a9-47bd-94e3-2afdb4b749a7
2019P151
6051
https://hdl.handle.net/10013/sensor.a213fa26-d811-4b35-ba4d-5bc0c57680e8
2019P158
6052
https://hdl.handle.net/10013/sensor.1c23fdb3-f0fc-4322-a8b0-c14b145a21ea
2019P159
4181
https://hdl.handle.net/10013/sensor.c2e31b34-cbac-4883-a007-d9a706c62910
Scat-C
6149
https://hdl.handle.net/10013/sensor.a4a3c478-bfb1-4a8c-8b8b-272df7a55144
2019U1
6150
https://hdl.handle.net/10013/sensor.7f2c4298-64f0-465f-a49d-e74e62c3dccf
2019U2
6295
https://hdl.handle.net/10013/sensor.c09a2156-e48f-4fc8-b98b-aac39f9ac320
uib_cluster
5439
https://hdl.handle.net/10013/sensor.78dbccfa-a0d7-4268-bb5f-c94373d10d69
DC_stress_sensor_5
5440
https://hdl.handle.net/10013/sensor.543d9e41-fe80-41f8-b064-1c32600270c8
DC_stress_sensor_6
5441
https://hdl.handle.net/10013/sensor.cce3fced-3380-4e8d-9042-bc707eb99809
DC_stress_sensor_7
4185
https://hdl.handle.net/10013/sensor.8a18f753-52a2-419f-98c9-1c98d545e649
GNSS_JAVADd3
4750
https://hdl.handle.net/10013/sensor.bf8e56bb-56b9-4510-8fa8-52fa0f3d3b9a
DTC23_416
3535
https://hdl.handle.net/10013/sensor.09625055-dcbf-4079-addd-e81a4649ab6b
SSMI_radiometer_SN002
2944
https://hdl.handle.net/10013/sensor.85d54f38-328e-4b0c-bb90-561e44a39a6a
2019P102
2947
https://hdl.handle.net/10013/sensor.e22b3148-115d-4be0-a514-b8aeab883b46
2019P105
5267
https://hdl.handle.net/10013/sensor.ea1e7e49-c6ab-48cd-844f-95baa47b8201
DC_rd_2
5268
https://hdl.handle.net/10013/sensor.783ac676-f29b-4cf4-9e8b-6059c1434059
DC_rd_3
GNSS_navX_MBANT
5269
https://hdl.handle.net/10013/sensor.76e77e5f-a92a-41c5-bc2d-a32fdc2c4d23
DC_rd_4
5270
https://hdl.handle.net/10013/sensor.ada9e285-12a4-4aaa-ba31-e783434715c2
DC_rd_5
5271
https://hdl.handle.net/10013/sensor.8ee2911c-7cc4-4f9e-8c31-f51a2cd08b2d
DC_rd_6
5272
https://hdl.handle.net/10013/sensor.53f07f58-b777-4ee3-a5cf-5bf3dd26cea6
DC_rd_7
5442
https://hdl.handle.net/10013/sensor.1a42f635-43c3-4661-9c4e-56ce0df04f47
DC_stress_sensor_8
5273
https://hdl.handle.net/10013/sensor.9b896eee-6196-42be-ae68-a85494adbfab
DC_rd_8
5274
https://hdl.handle.net/10013/sensor.0c23b75a-f1d3-4745-8961-f58d882518f9
DC_rd_9
5275
https://hdl.handle.net/10013/sensor.29f32f7f-7951-48a7-a1b1-b1b534cc3045
DC_rd_10
GNSS_NTlab_FE
5276
https://hdl.handle.net/10013/sensor.ab2d4d8b-cd63-493e-9985-15c7e484281e
DC_rd_11
5277
https://hdl.handle.net/10013/sensor.9fc5dd4e-208e-4ad2-8d19-de956a9c6f5c
DC_rd_12
5278
https://hdl.handle.net/10013/sensor.8833ca54-4e97-4dbf-a3ab-d4aa5c88de63
DC_rd_13
5279
https://hdl.handle.net/10013/sensor.95e8e5b0-a349-440c-8b29-f4a89e272dc1
DC_rd_14
5280
https://hdl.handle.net/10013/sensor.59a66d2b-bbc8-4067-a2cf-a46debb2c003
DC_rd_15
5281
https://hdl.handle.net/10013/sensor.daf58c9d-2df8-47ec-af09-1525cf9646ba
DC_rd_16
5282
https://hdl.handle.net/10013/sensor.431ebda8-1c8c-4d1a-8d35-94f434f3198d
DC_rd_17
5283
https://hdl.handle.net/10013/sensor.19adf4f0-1ef2-4db6-849a-ec73bc9b81f0
DC_rd_18
5284
https://hdl.handle.net/10013/sensor.28c433fc-1b8b-425e-a5b7-db8731154162
DC_rd_19
5285
https://hdl.handle.net/10013/sensor.9449964f-ebf3-4890-b5f6-3dd2f2217258
DC_rd_20
4877
https://hdl.handle.net/10013/sensor.805944d0-106c-4be8-b5ba-db324be8b2ff
GRIMM_BAS
5286
https://hdl.handle.net/10013/sensor.a061c6f8-53be-4ea0-9d52-c16e30028358
DC_rd_21
5287
https://hdl.handle.net/10013/sensor.469f0052-c7c3-4ef5-994b-30489cecc8fd
DC_rd_22
5288
https://hdl.handle.net/10013/sensor.b43941ef-6b4e-44ac-9a17-5a90f752001b
DC_rd_23
5289
https://hdl.handle.net/10013/sensor.ce1489a4-59bb-4051-a083-04d8056289f2
DC_rd_24
5290
https://hdl.handle.net/10013/sensor.7b7a4195-dec3-4f46-8ead-84794ff60542
DC_rd_25
5291
https://hdl.handle.net/10013/sensor.97c95955-adea-4f27-8693-2b8e42502c1d
DC_rd_26
5292
https://hdl.handle.net/10013/sensor.e5f8a2bc-c0ca-493a-8673-a9e1e6032625
DC_rd_27
5293
https://hdl.handle.net/10013/sensor.a6b29b0d-341d-421b-92a0-f2996e96ea07
DC_rd_28
4692
https://hdl.handle.net/10013/sensor.9854be75-c71d-47a7-9117-3d9d60fc13f2
Dart_Stakes_Clu_3
4693
https://hdl.handle.net/10013/sensor.d3ca5805-5dc2-4170-85e2-5a1a48e65f2b
Dart_Stakes_Clu_4
3171
https://hdl.handle.net/10013/sensor.1ffd5084-7ad0-4c81-8d01-26287ebdf35d
ICEOBS_PS
4694
https://hdl.handle.net/10013/sensor.d4a5e2f4-1b28-4980-bf9c-fab9270d83a3
Dart_Stakes_Clu_5
6304
https://hdl.handle.net/10013/sensor.7d6ddd14-b0b9-4b0b-bbd9-dbb6d9e31cdf
arm_cluster_ice
6300
https://hdl.handle.net/10013/sensor.c905af47-d54a-40df-9136-463ee9c598b2
arm_container_aos
6301
https://hdl.handle.net/10013/sensor.b1d61fd0-e34e-4965-ba9a-a97ff4557a18
arm_container_kazr
arm_container_ops
6303
https://hdl.handle.net/10013/sensor.ed74adba-e141-4e35-bf4a-98eeda535df4
arm_cluster_25m
3531
https://hdl.handle.net/10013/sensor.722a4ba4-598d-4f07-8762-038b6f37f5b5
2019P127
3532
https://hdl.handle.net/10013/sensor.f87666ac-7c31-4a37-a62d-6516b4b0e5ef
2019P128
2482
https://hdl.handle.net/10013/sensor.22f5db32-9a9d-45c0-9c8a-f361324a3e6d
2019P16
1394
https://hdl.handle.net/10013/sensor.7bbc4c13-92a5-477c-9984-baa59ce047ae
Simrad EK 60 / EK 80
4061
https://hdl.handle.net/10013/sensor.2d5594e6-284a-42ff-8573-487e9b68973a
MAX-DOAS
4873
https://hdl.handle.net/10013/sensor.4d7434bb-fc02-466e-b175-b6ee1db6410b
HiVol_SEM_BAS
3210
https://hdl.handle.net/10013/sensor.63acb097-8a90-4562-8475-63b2f7d7ab62
OCEANET_PS
5985
https://hdl.handle.net/10013/sensor.a2677fc9-6360-468d-a737-b684593f6843
FloeNavi
4872
https://hdl.handle.net/10013/sensor.e9aaa5cc-5564-4e51-af18-adab0a87ad73
LoVol_INPC_BAS
4130
https://hdl.handle.net/10013/sensor.364c998f-c143-4b0d-b6d0-4095640ed44c
AWI-Radon-counter
4060
https://hdl.handle.net/10013/sensor.7709c7fb-e0c8-4785-a3bc-207074b1326f
GC-Halo2
4243
https://hdl.handle.net/10013/sensor.1631cb76-0c90-4d6d-b7a8-db9b13669763
Leeds_HALO_Lidar
4231
https://hdl.handle.net/10013/sensor.a1442c82-65e9-4608-aea0-083004660af8
Wind_lidar_UT
3736
https://hdl.handle.net/10013/sensor.1266fa71-fd6f-45de-bf23-32df06e92399
FMI_Ice_Radar
5049
https://hdl.handle.net/10013/sensor.ef78555e-0238-442b-a026-93031931dfae
SAMIP_5063
3880
https://hdl.handle.net/10013/sensor.6af3c07c-5d8e-4d9a-9f17-023e6c3c8d3e
sonic_anemometer_2D_ship_bow
3879
https://hdl.handle.net/10013/sensor.08b24166-7dc8-4332-a143-73414ab7540b
sonic_anemometer_3D_ship_bow
3881
https://hdl.handle.net/10013/sensor.5159205d-5002-43f1-81ef-5c8ee08e7804
licor_7500ds_ship_bow
4930
https://hdl.handle.net/10013/sensor.92d5606d-c452-4f23-a19f-8f836ed9e214
gcms_ship_bow
4931
https://hdl.handle.net/10013/sensor.c1767e87-9125-4d81-be6a-51df63e62413
nox_ship_bow
4932
https://hdl.handle.net/10013/sensor.b69c6313-04f5-45e4-b01f-88af6433084f
hg_ship_bow
4929
https://hdl.handle.net/10013/sensor.1b31980d-94b8-4b2e-a4ce-a06cf46b94b4
ozone_slow_ship_bow
4867
https://hdl.handle.net/10013/sensor.63753e52-819f-40c9-8081-aa7ba998cee9
SPC_1104_BAS
4866
https://hdl.handle.net/10013/sensor.5f551661-ae73-4710-978f-908741464998
SPC_1206_BAS
4871
https://hdl.handle.net/10013/sensor.4a0196e0-fde3-4caf-8126-66e634884b5b
METEK_USA_1_BAS
3878
https://hdl.handle.net/10013/sensor.8741690a-6c9f-4586-a999-012a3357c730
dms_apims_ship_bow
4854
https://hdl.handle.net/10013/sensor.169a75a7-33de-40c7-a038-e6215fe11eaa
GNSSR_FPOL
4199
https://hdl.handle.net/10013/sensor.a7b7a49f-0e17-4ba0-9439-5bb693440188
DRUM
5335
https://hdl.handle.net/10013/sensor.348d00bb-b8e6-4e14-96fd-9eb5b9e47d8d
DRUM_IMP_UMICH
4198
https://hdl.handle.net/10013/sensor.f5efa87a-38f2-4200-9147-e887793a238c
CSUfilter
5644
https://hdl.handle.net/10013/sensor.aa82a407-6b77-41fb-b653-d4cff8805fd4
Fcam
4917
https://hdl.handle.net/10013/sensor.a12a8b3c-6bd6-4a0d-844d-0f0f22420749
fmistressbuoy_4
4915
https://hdl.handle.net/10013/sensor.4133cb57-80ab-45bc-b7b9-c71714b7e236
fmistressbuoy_2
4502
https://hdl.handle.net/10013/sensor.3bcde8b8-f7a0-4280-b0cc-5340498090be
BNU-CRDS
4924
https://hdl.handle.net/10013/sensor.91517aa5-c81c-4535-98f8-b5d0c8625bf9
ozone_fast_ship_bow
3882
https://hdl.handle.net/10013/sensor.f0ffc1b1-81d9-48e7-9bfd-b1b458844092
crds_ghg_ship_bow
4933
https://hdl.handle.net/10013/sensor.998e9a25-3ff3-47f7-b854-ca2336a86b3d
t_rh_ship_bow
4285
https://hdl.handle.net/10013/sensor.1bd319f1-9387-4770-a5bf-6f5ca06bd7b5
API_UHel
4299
https://hdl.handle.net/10013/sensor.21cca6e3-e5a9-4d54-8b1a-6bb57caf31b7
Picarro_PSI
4298
https://hdl.handle.net/10013/sensor.83896367-31fe-4cbf-a72d-2234fb60c702
O3_PSI
4297
https://hdl.handle.net/10013/sensor.ed0f7edf-f89b-4b54-8050-2b727bfb2b25
SO2_PSI
4287
https://hdl.handle.net/10013/sensor.943204a4-f460-4245-90e1-57faad8208bf
CPCint_PSI
4286
https://hdl.handle.net/10013/sensor.7d636e93-b175-4356-a915-7a426b6bfad9
CPCtot_PSI
4290
https://hdl.handle.net/10013/sensor.b1b2833a-15e5-4606-a7e5-9618c6387317
AMS_PSI
4291
https://hdl.handle.net/10013/sensor.08f63d72-5f5e-4cf3-9c5e-7415b9455590
Aeth_PSI
4289
https://hdl.handle.net/10013/sensor.8c04fcc1-47aa-4562-b1a5-30be4bbf3148
CCNC_PSI
4288
https://hdl.handle.net/10013/sensor.7281fcb4-64ef-4968-b29a-19893d37402d
SMPS_PSI
4296
https://hdl.handle.net/10013/sensor.16e0cebc-0ef7-4855-b5d5-8fd152a17ceb
valve_PSI
4293
https://hdl.handle.net/10013/sensor.83b5f543-2e7e-4127-935c-b7cacbf7bcb1
WIBS_PSI
4283
https://hdl.handle.net/10013/sensor.b406f1ac-d168-4042-9b2e-42fc4946b271
NAIS_UHel
4284
https://hdl.handle.net/10013/sensor.ea60c191-adf2-4485-aadf-71884225d40f
PSM1_UHel
4294
https://hdl.handle.net/10013/sensor.e47dff79-5a67-4391-bb41-5f0a65b2b434
PSM2_UHel
5837
https://hdl.handle.net/10013/sensor.6854a4ee-f553-466d-af00-28941c27132f
DOT
4690
https://hdl.handle.net/10013/sensor.cc102fed-0465-4e57-93a4-065a7445292e
Dart_Stakes_Clu_1
4691
https://hdl.handle.net/10013/sensor.26b3cfe2-4639-457f-a02d-bb6035e05e73
Dart_Stakes_Clu_2
5433
https://hdl.handle.net/10013/sensor.fd2f72f3-8212-41fa-a2b0-1e9ca426f56b
DC_lso
6069
https://hdl.handle.net/10013/sensor.56908106-86c7-43ed-ad9b-0eebabf70f18
crds_ghg_ice_station_tower
6144
https://hdl.handle.net/10013/sensor.028f4eff-044c-4b5d-94c8-4f2556608a55
snow_sampler_metal
5538
https://hdl.handle.net/10013/sensor.cd6ede0c-99cf-4c99-842e-f52d593384d6
PSS_beta
5539
https://hdl.handle.net/10013/sensor.e95c6344-87f9-4d03-87d5-5c25378e326e
PSS_gamma
4200
https://hdl.handle.net/10013/sensor.e9633e74-2e96-453c-b71a-9c802cb075ac
sondes
4333
https://hdl.handle.net/10013/sensor.09cc6e92-e1de-468c-a220-6f07354cb1dd
MP_pump
3220
https://hdl.handle.net/10013/sensor.cf5fcea7-42ec-4ce2-bbe1-22c60213882d
UWS_PS
5347
https://hdl.handle.net/10013/sensor.b5c555cd-d125-4ef5-a8e4-4aca3cbeb937
Snowpit
6023
https://hdl.handle.net/10013/sensor.72973058-0275-4c0f-a4a5-6c4e76136dc7
LISSTDeep_4047
6141
https://hdl.handle.net/10013/sensor.fe6c6b07-f54e-4038-98d4-9cf0ac3d1c17
water_probe
5174
https://hdl.handle.net/10013/sensor.3def5c1e-c276-49e4-bba7-e646a023de0c
fmistressbuoy_5
650
https://hdl.handle.net/10013/sensor.9642f86f-7173-4362-b00a-e25d76cd2556
BEAST
5067
https://hdl.handle.net/10013/sensor.4c4b8d1f-deab-42d1-895b-ce6b9c36aa76
SI_corer_7cm
4928
https://hdl.handle.net/10013/sensor.09931005-4840-435c-8e0a-743a40cbeea1
ozone_chamber_portable
5546
https://hdl.handle.net/10013/sensor.966e9507-b24d-45f6-ae61-70bdc423969b
Hydro_com
4512
https://hdl.handle.net/10013/sensor.4699acce-3374-473e-9c0d-ba7e304af39b
mss_046
5475
https://hdl.handle.net/10013/sensor.009e4e08-0ebb-4c57-93ab-d27e3583f8ba
CTD_SBE9plus_935
4678
https://hdl.handle.net/10013/sensor.abcb66c0-cc22-4427-84cd-701c02deaf28
TLS-VZ1000
6181
https://hdl.handle.net/10013/sensor.bc637b97-5eca-44c5-ae9e-aac8cc971134
hand_pump
5649
https://hdl.handle.net/10013/sensor.c551635d-afba-4f21-a18d-b7b3d7121bab
LLine_1
3214
https://hdl.handle.net/10013/sensor.4cc3ae98-6e3e-40de-95ff-4919b8cc3849
CTD_SBE9plus_321
5682
https://hdl.handle.net/10013/sensor.4a133a02-72a6-4226-9ba0-a74258e174f4
RN150_1
5693
https://hdl.handle.net/10013/sensor.53a2a808-107c-4196-8db4-9ff77992ede5
RN53
5808
https://hdl.handle.net/10013/sensor.dfdda18a-5393-4ea2-b048-3f6562a337eb
gasflux-ice-chamber
3187
https://hdl.handle.net/10013/sensor.e9f213b7-2214-40e0-b017-3e04339fc50b
MN_S5_PS
700
https://hdl.handle.net/10013/sensor.ac9ea029-ccbc-4fe5-8a6e-afbc64087966
LOKI_10001.02
5694
https://hdl.handle.net/10013/sensor.c1188604-0066-4a37-8dbd-6377e50bf062
RN1000
3342
https://hdl.handle.net/10013/sensor.2c98ef6b-dd3b-4530-b112-e44c9bbc2708
TB_MOSAiC_AWI
5537
https://hdl.handle.net/10013/sensor.a3af0789-3b7a-45f6-bc2a-bae78333b1ff
PSS_alpha
4811
https://hdl.handle.net/10013/sensor.3ae0bd0e-c576-434a-9d88-e8c91e3a21ca
Anafi_UoH_Parrot_1
3876
https://hdl.handle.net/10013/sensor.4bdfb0b8-5f12-4e24-806f-50964241632d
GNSS-R_IceFloe
6131
https://hdl.handle.net/10013/sensor.c9652345-dd7a-4552-8f59-bdc04bbb3899
snow-stick
3150
https://hdl.handle.net/10013/sensor.ce12fb29-7be1-4266-b078-a4723d4cd5ae
BUCKET_PS
5161
https://hdl.handle.net/10013/sensor.88266673-1256-4ec0-9f75-207d2c38ee05
CSUportablesampler
5004
https://hdl.handle.net/10013/sensor.d25f9f2d-18f1-4bf1-b953-2960d14632aa
BALAMIS_Rad
3190
https://hdl.handle.net/10013/sensor.ea9fb492-9eb1-45ea-ae5a-0cc95ef5a30c
OBS_PS
5066
https://hdl.handle.net/10013/sensor.9c0d7de3-8833-43c4-a919-ecb45a12ca58
SI_corer_14cm
4892
https://hdl.handle.net/10013/sensor.843b0600-a6ee-43aa-8c69-00a91a217ab2
magnaprobe-kathrin
4936
https://hdl.handle.net/10013/sensor.88911923-3a9f-4f9a-bf08-463bd59cf844
gmd_flask_sampler
4511
https://hdl.handle.net/10013/sensor.7e43d978-aef8-4fdf-9b0d-d965e3b51d73
MSS_90D_075
5679
https://hdl.handle.net/10013/sensor.a9849224-8108-456e-a92c-4c0cab588df9
gillnet_1
6246
https://hdl.handle.net/10013/sensor.8685d6b1-788d-430a-be71-65e552f59b2d
SI_ice_sampler
5652
https://hdl.handle.net/10013/sensor.fb6a6e94-801f-4be0-8cb4-5a4889788cbb
FRod_1
6184
https://hdl.handle.net/10013/sensor.becd0625-ac40-4de0-93dc-6d6f79698c8d
sali_ubremen_1
5650
https://hdl.handle.net/10013/sensor.26a3ee9d-87d4-4b6e-bf5d-2c6e9c98f67a
LLine_2
4196
https://hdl.handle.net/10013/sensor.adf794a0-9aee-424a-bb23-7656d05f6fb4
BHJ
6252
https://hdl.handle.net/10013/sensor.03b9978a-9c88-4343-83e9-2596094afdd3
ctd_rbr_60547
3169
https://hdl.handle.net/10013/sensor.24d65e85-57b5-4d7f-9b1c-be96d0885aa7
HVAIR_PS
4149
https://hdl.handle.net/10013/sensor.044dbbea-14be-4bb1-9c56-9e7550947062
nortek_101408
4148
https://hdl.handle.net/10013/sensor.30eb1118-4b32-47e8-8ac1-0edcdb8e485c
nortek_100098
4150
https://hdl.handle.net/10013/sensor.18952063-f885-431e-9b95-9c4346258a37
rbr_60610
4151
https://hdl.handle.net/10013/sensor.b6137fce-ecf5-4de9-bd14-c4f8bb5c8306
rbr_60611
4552
https://hdl.handle.net/10013/sensor.04b37298-e202-4a96-84d5-32ca97007013
UIB_Tchain
6349
https://hdl.handle.net/10013/sensor.2df1053d-d7bf-4726-8e77-fd761f37073e
noy_inlet_bow_tower
4643
https://hdl.handle.net/10013/sensor.f5d39e02-b667-40d7-91c4-4d0fa1000e03
lightharp_1
4644
https://hdl.handle.net/10013/sensor.ee6b5821-78c5-4c26-9216-7149aa031f99
saltharp_1
4183
https://hdl.handle.net/10013/sensor.c81ce279-7499-467b-9514-8df435fad84e
Scat-Ku_X
4540
https://hdl.handle.net/10013/sensor.e72e6f05-a915-4d7b-a6d1-d0223c2214d4
UIB_Microrider
6009
https://hdl.handle.net/10013/sensor.8c2897ad-b032-4b8c-8f4d-14b80518dc41
2020T60
4752
https://hdl.handle.net/10013/sensor.d65a2143-5516-41a5-b5b4-974469b22204
DTC25_416
4751
https://hdl.handle.net/10013/sensor.c3f625e0-367c-47e6-8926-17734b61405c
DTC24_416
5443
https://hdl.handle.net/10013/sensor.8d68650d-3234-4519-8d2b-8fbae9f20112
DC_stress_sensor_9
5449
https://hdl.handle.net/10013/sensor.9f888706-d93f-4590-833f-082293f923f2
DC_dgps_1
5520
https://hdl.handle.net/10013/sensor.3fb44281-5fc1-4f51-9f9e-c165ed60b525
DC_dgps_2
4190
https://hdl.handle.net/10013/sensor.d60af310-8e37-4543-8076-555f10757390
VIS_INFRALAN_02
5180
https://hdl.handle.net/10013/sensor.9c5a6393-7004-4739-a144-629676453cd7
BTC60_181890
4736
https://hdl.handle.net/10013/sensor.427085d5-47f6-44af-a638-91529ab11092
DTC09_256
6007
https://hdl.handle.net/10013/sensor.63c0b5a3-7fc8-41ab-a5f5-34de66c2c628
2020T61
3908
https://hdl.handle.net/10013/sensor.de1699b7-aeec-49fa-b65e-23a24747bce4
2020S99
5444
https://hdl.handle.net/10013/sensor.c8ab9da5-fd28-4ca7-815e-4a6eeb93bd66
DC_stress_sensor_10
5445
https://hdl.handle.net/10013/sensor.bd8b3e64-a9be-460d-9633-b2dbe577f057
DC_stress_sensor_11
4131
https://hdl.handle.net/10013/sensor.17d9a75e-9473-4439-b141-84ede94b9d49
AWI-canberra
7152
https://hdl.handle.net/10013/sensor.c22048fb-2dae-4c3c-a95e-8b6d1312b112
2020E2
7151
https://hdl.handle.net/10013/sensor.d89b3041-25a2-4e5b-8153-494dd779d438
2020E1
5182
https://hdl.handle.net/10013/sensor.e62de770-760b-4611-89d8-48619b913f20
GPS_zeni_7350
5184
https://hdl.handle.net/10013/sensor.56632617-1a79-4709-9340-c91d8ba70b66
GPS_zeni_9300
5183
https://hdl.handle.net/10013/sensor.4a5e05bf-b769-47b4-b3af-665038f6f839
GPS_zeni_8380
5185
https://hdl.handle.net/10013/sensor.2b45b165-ee5c-4b64-bb1c-1523e1b2a639
GPS_zeni_9350
7153
https://hdl.handle.net/10013/sensor.5e37f086-ff86-41c2-9300-3bfda0a2cde5
2020E3
6151
https://hdl.handle.net/10013/sensor.3df9e817-95a4-48f7-a92f-ee2a4a11dd07
APi-PSI
4695
https://hdl.handle.net/10013/sensor.a854f179-fcef-4a8f-b26e-1918485d3db9
Dart_Stakes_Clu_6
4696
https://hdl.handle.net/10013/sensor.c7ff0cec-8e84-4988-aebd-633affdc14d3
Dart_Stakes_Clu_7
4735
https://hdl.handle.net/10013/sensor.516344d1-575e-4800-ae4e-4cda67c34edf
DTC08_256
4723
https://hdl.handle.net/10013/sensor.a16c8b13-9af4-4fb4-b0ca-96d6b4c32a41
LOKI_10001-01
4527
https://hdl.handle.net/10013/sensor.30b175be-967e-40eb-a3b3-b0090ab1beda
SN_GPR
5653
https://hdl.handle.net/10013/sensor.8bc3a8cc-0938-4bfd-9d7f-e99771c3549f
FRod_2
6165
https://hdl.handle.net/10013/sensor.3bf53c89-fbed-4486-b5f3-2856fcd76def
ADCP_14733
5416
https://hdl.handle.net/10013/sensor.7d695797-5fb0-4cb9-b726-e8527892d4a8
Tpop_64
4066
https://hdl.handle.net/10013/sensor.ab3694c0-58c7-46fc-8537-b630816b896c
radionuc-pump
4241
https://hdl.handle.net/10013/sensor.76743b8b-5499-46f9-b64f-cadc07f55bf9
Buck_HIVOL1
5683
https://hdl.handle.net/10013/sensor.9cd9a11f-8d44-4f5b-af7a-af5edfb95712
RN150_2
909
https://hdl.handle.net/10013/sensor.58c0c57f-b792-4e49-9626-959f46346062
DT101_multibeam(BEAST)
3234
https://hdl.handle.net/10013/sensor.39082f20-596f-4be3-a979-48aea355ff91
Seebiber
4701
https://hdl.handle.net/10013/sensor.b6ecc3ef-62c0-4be2-8007-70888b2a3d80
Magnaprobe-Bruce
6467
https://hdl.handle.net/10013/sensor.76fd1e4a-3eee-434b-b5da-d5c1aa629d09
SI_2iauger
4434
https://hdl.handle.net/10013/sensor.c31dd73a-d72f-4b4d-85d1-6db7a2146c6f
600kHzADCP
6470
https://hdl.handle.net/10013/sensor.5c9e69a4-90f5-4676-a495-302ab73c272a
CTD_48M_1495
6092
https://hdl.handle.net/10013/sensor.b6e76c5c-edda-4477-abf9-540d868bdfc8
shortterm_sedtrap_ridge
6782
https://hdl.handle.net/10013/sensor.2262db86-68bd-4190-ab59-5b4485f8bbfd
shortterm_sedtrap_ridge_2
6091
https://hdl.handle.net/10013/sensor.2c001e03-5bb7-45ab-bbb7-56fdd34a7ba2
shortterm_sedtrap_lice
6783
https://hdl.handle.net/10013/sensor.e446a9c7-6074-41d5-8142-3586f67a8df9
shortterm_sedtrap_lice_2
6784
https://hdl.handle.net/10013/sensor.903e7dfe-1afa-4421-b3b2-73552a136efc
shortterm_sedtrap_lice_3
3538
https://hdl.handle.net/10013/sensor.aa05510e-4b8c-4908-b389-160a69d2c312
MEC1
6616
https://hdl.handle.net/10013/sensor.25463b9a-eabc-4f35-9884-f7ac8deaea77
NISK5L_5
6615
https://hdl.handle.net/10013/sensor.625ccd34-178b-48c7-a0ee-135b475fb812
NISK5L_3
6617
https://hdl.handle.net/10013/sensor.c11df984-6101-4f82-b67d-68a8454b4271
NISK5L_6
6610
https://hdl.handle.net/10013/sensor.32613dbe-36ee-482b-b0cb-724a69612b68
NISK5L_2
4254
https://hdl.handle.net/10013/sensor.accee596-3f73-4fe4-a494-37346ff937fd
handnet20microm_1
6164
https://hdl.handle.net/10013/sensor.4b8e10cc-0e8c-4e88-a29a-162caaaf349f
MSS_55
5559
https://hdl.handle.net/10013/sensor.d0353fd7-4f97-408a-b438-b355d0dc4c49
Cond_com-100
6639
https://hdl.handle.net/10013/sensor.1ddcbf65-c814-4d58-bbb4-4d56e549a932
300kHzADCP
5833
https://hdl.handle.net/10013/sensor.2e9be664-037a-42c6-9f75-e93f77185d47
CTD_SBE19_7057
6629
https://hdl.handle.net/10013/sensor.1e5c821e-45b5-4f41-bfb0-e11566356638
falcon_tube
5787
https://hdl.handle.net/10013/sensor.19a85518-89d6-447e-af31-ca56a7f65449
uea_flask_sampler
6469
https://hdl.handle.net/10013/sensor.7351c1d2-dff4-4da7-bdce-c54516dac319
CTD_48M_1459
1713
https://hdl.handle.net/10013/sensor.5e1a5ff9-1790-4e93-b7f2-2f8d2b11e270
SBE-37_225
1754
https://hdl.handle.net/10013/sensor.98d46201-1432-4f4e-91fc-2297f5d2a835
SBE-37_230
4541
https://hdl.handle.net/10013/sensor.28797aef-0cfa-4a74-adec-180d02d26657
UIB_VMP250
6180
https://hdl.handle.net/10013/sensor.8650f175-2782-4762-854e-768d9be3cbf9
seawatertap_ps
6785
https://hdl.handle.net/10013/sensor.552dda67-06c2-42c1-8bb1-79e53203f956
rbr_duet_td_85201
6041
https://hdl.handle.net/10013/sensor.7df2f7c2-8137-40fb-affc-2ca73503bdb0
2020P210
6042
https://hdl.handle.net/10013/sensor.6a286000-c311-455a-b53b-351ebfc31495
2020P211
6044
https://hdl.handle.net/10013/sensor.7c3399f9-51ad-4244-ad7d-087069ad085b
2020P213
6045
https://hdl.handle.net/10013/sensor.3c495fb0-b931-40e4-8711-e3ce4c94c8f4
2020P214
6046
https://hdl.handle.net/10013/sensor.672ed9ba-5c3f-475f-8cf5-406daca40cce
2020P215
6475
https://hdl.handle.net/10013/sensor.5f38b778-d73c-4f3b-ab69-a42296cb6b94
2020T75
4336
https://hdl.handle.net/10013/sensor.158e673f-e114-411c-b5e6-82da571e3844
2020R12
3980
https://hdl.handle.net/10013/sensor.b5d7b1fe-1d03-408e-9ef8-668f880ee477
2020S97
6982
https://hdl.handle.net/10013/sensor.8c574152-d5fd-4b4e-a722-6c199b511dda
GNSS_UoH_SP_S5
6983
https://hdl.handle.net/10013/sensor.191aec73-976e-4011-93b2-8bf038d2e5a3
GNSS_UoH_SP_S6
4337
https://hdl.handle.net/10013/sensor.09814e21-0e79-4f71-93c3-ee3cf330bb19
2020R13
7007
https://hdl.handle.net/10013/sensor.9cd93761-816e-4b33-b006-5bfdfb33ebb5
2020P225
7009
https://hdl.handle.net/10013/sensor.c6994821-626d-44ea-944b-41dc50bb4dbd
2020P226
7008
https://hdl.handle.net/10013/sensor.4054fbb0-8203-4253-ba5d-87eca396ec38
2020P227
4817
https://hdl.handle.net/10013/sensor.0d095be6-cc14-4fc6-aef4-01ac95d8f4df
Tekran_2537B_USTC
7012
https://hdl.handle.net/10013/sensor.bdfee50b-a721-45e8-b135-a99986b55f18
2020P228
7027
https://hdl.handle.net/10013/sensor.1ae68d3d-8357-41dd-bc57-ad96a08ad060
DTC40_512
4565
https://hdl.handle.net/10013/sensor.22611a15-cd0f-4111-9b42-7789d0eec275
UIB_RBR_CTD_1
4566
https://hdl.handle.net/10013/sensor.38da9ded-ce6c-4b62-967a-88f2d9451142
UIB_RBR_CTD_2
4567
https://hdl.handle.net/10013/sensor.932fe77d-0218-46a2-bddd-b449a5678c3b
UIB_RBR_CTD_3
4568
https://hdl.handle.net/10013/sensor.8fdce567-c895-48ca-b1f1-875146945f86
UIB_RBR_CTD_4
5922
https://hdl.handle.net/10013/sensor.7ece614f-28a5-447a-8213-63f85df8861f
PAR_surface_20460
7056
https://hdl.handle.net/10013/sensor.bf844b7b-4ac1-4642-ad20-69fe8c0f0ea7
cpc_rov
7055
https://hdl.handle.net/10013/sensor.847c51bf-c707-4022-a657-ffbca492a2f0
cpc_empa
4919
https://hdl.handle.net/10013/sensor.01cf1ad4-713a-4a4a-8d46-65bd3d830208
pump_00119
4918
https://hdl.handle.net/10013/sensor.4c10ecf1-5795-458c-96f4-8ad0ba9def2c
pump_00219
7107
https://hdl.handle.net/10013/sensor.d7f5f3f8-9a83-49e5-b0e8-1620a1faf197
cu_rad
4737
https://hdl.handle.net/10013/sensor.e97de92d-3ca5-4843-8866-1bdbc847b015
DTC10_256
4244
https://hdl.handle.net/10013/sensor.a45bc0f4-eba7-4a29-a623-97423570c483
Leeds_Galion_Lidar
4242
https://hdl.handle.net/10013/sensor.38a113ec-e135-4856-9c77-2c3bb54c8f73
Scintec_Sodar
4334
https://hdl.handle.net/10013/sensor.fcaa445a-ba64-4c03-98bb-49961b28905b
2020R10
4068
https://hdl.handle.net/10013/sensor.0422ce26-879d-45f3-a38d-e5701c76c12d
OA-ICOS_N2O
6900
https://hdl.handle.net/10013/sensor.73385e94-c82c-446a-a5c3-1a7361004ebe
SO2-UHel
5086
https://hdl.handle.net/10013/sensor.284e2ecf-72d3-4fa4-b71b-d334f08bf90d
HUTRAD
4335
https://hdl.handle.net/10013/sensor.83695213-115c-4607-a6d3-eaa126137294
2020R11
6053
https://hdl.handle.net/10013/sensor.2c46aea3-c867-4e4f-b97a-ae79a9e296f5
2020P160
5719
https://hdl.handle.net/10013/sensor.fe414122-ba20-4ef1-b6e9-aca46b2e185a
2020P185
5720
https://hdl.handle.net/10013/sensor.09b3ea06-884e-4982-a81c-d8db36d59aac
2020P186
6463
https://hdl.handle.net/10013/sensor.cc8bcc0f-7459-406b-bd81-8b84db4d16da
2020P217
6464
https://hdl.handle.net/10013/sensor.89b08465-1737-4654-a83f-b90d803f4664
2020P218
6465
https://hdl.handle.net/10013/sensor.48125686-3be6-44b9-b16c-0a2233086fe1
2020P219
6466
https://hdl.handle.net/10013/sensor.ee5269ac-c5e2-418a-814b-c8f4d48a58bc
2020P220
6043
https://hdl.handle.net/10013/sensor.2fcd5e5c-567a-4ac0-a9ec-4a9b2c6c0e68
2020P212
6462
https://hdl.handle.net/10013/sensor.2920acac-b04c-4b16-b26c-a0d07fe5e964
2020P216
4338
https://hdl.handle.net/10013/sensor.8ae596b8-3096-4eef-bf98-ac17538357bc
2020R14
5747
https://hdl.handle.net/10013/sensor.9a55cd5c-f7e8-4df6-afcc-d318d1134dc4
2020R20
6991
https://hdl.handle.net/10013/sensor.d3e637b9-16dd-44d8-ab40-3ab5d0b71ff4
DTC44_416
6990
https://hdl.handle.net/10013/sensor.f19d8477-db7e-4d05-bba9-a2edf950a4d3
DTC45_416
3536
https://hdl.handle.net/10013/sensor.4d1500ae-7539-4572-bb7e-abf6cd548e0a
SPECIM_IQ_01
6980
https://hdl.handle.net/10013/sensor.fb054d26-82ce-4663-a1f8-b94d6a6276d1
GNSS_UoH_SP_S4
6471
https://hdl.handle.net/10013/sensor.227839f6-b94c-44ad-bddf-47b20d73ff8b
2020T73
6483
https://hdl.handle.net/10013/sensor.07e67c9e-e67c-4b3c-8dc1-f693cc41a149
2020T79
6479
https://hdl.handle.net/10013/sensor.e32926b9-fdcf-4eba-992f-38f3b7a47542
2020T77
6477
https://hdl.handle.net/10013/sensor.8f96ae18-7e6c-4824-92d3-10667359ca54
2020T76
6473
https://hdl.handle.net/10013/sensor.5cfd8d74-3fac-49c2-bdd3-bc7637fbe422
2020T74
4875
https://hdl.handle.net/10013/sensor.eaf25707-62b8-4966-abbf-d568e2c83047
CAPS_CAS_BAS
4874
https://hdl.handle.net/10013/sensor.e0b281b4-2401-4c24-b3b4-bb6020e6b388
CAPS_CIP_BAS
4876
https://hdl.handle.net/10013/sensor.92b5d15e-a7eb-40e0-b6ee-10620fe5593e
SPIN_BAS
4253
https://hdl.handle.net/10013/sensor.2b4bae1b-27b9-4ae4-acf7-8418a91cd65d
typhoon_sn1479
6578
https://hdl.handle.net/10013/sensor.11163d9c-f93f-480e-8775-4781d6e98be6
114CU
6570
https://hdl.handle.net/10013/sensor.aff30698-6533-4193-809a-ce529bf701f2
81CU
5673
https://hdl.handle.net/10013/sensor.1c7ca54c-e19a-4c83-82bd-a13fa1a41bd7
NaNet150_1
6586
https://hdl.handle.net/10013/sensor.89efe762-af0c-4cf6-9734-156e8e475428
122CU
6546
https://hdl.handle.net/10013/sensor.8255c094-d03b-4f17-937b-c61a2907de7c
117CU
4683
https://hdl.handle.net/10013/sensor.e7fa02b8-fcde-44d8-8edf-9509a1076646
Dart_Kipps
4134
https://hdl.handle.net/10013/sensor.e5c29511-bc41-454a-807d-43b6411e6c41
DN-metal-chamber
4127
https://hdl.handle.net/10013/sensor.8e6e7a14-9251-458c-99a6-0fbf8305abc0
Buck_HIVOL2
7057
https://hdl.handle.net/10013/sensor.7301029e-7ae2-4fcc-86ba-6437e34016e4
loac
6538
https://hdl.handle.net/10013/sensor.220bf5d6-c54a-4245-bfde-1ff147bb8426
116CU
4697
https://hdl.handle.net/10013/sensor.c7b81f0c-2449-4138-ac88-1f6dffe80783
Dart_Stakes_Clu_8
6530
https://hdl.handle.net/10013/sensor.87a1fb11-caaa-4371-80f0-b41de19dacbd
115CU
4698
https://hdl.handle.net/10013/sensor.47deedeb-9f22-482f-9bb9-62247f0ec6d6
Dart_Stakes_Clu_9
5680
https://hdl.handle.net/10013/sensor.fefcde0a-0bcf-4f46-bf04-b0f0fc92adff
gillnet_2
4187
https://hdl.handle.net/10013/sensor.f499f37d-a51f-4611-abd3-cee4997f6c50
FP-HELIPOD
4699
https://hdl.handle.net/10013/sensor.9d0cfbf2-bc09-4f87-a46c-96adbefc9dd3
Dart_Stakes_Clu_10
1421
https://hdl.handle.net/10013/sensor.469453ed-2c7b-4feb-ba33-6d27d4b05a7c
Myon Detector
1433
https://hdl.handle.net/10013/sensor.57ac22d2-eb70-4510-8aa2-8b4244d97c8f
Neutron Monitor
1419
https://hdl.handle.net/10013/sensor.4b4ab375-4d67-4ac3-8ef0-eac6d7d5b76b
WaMoSII
1232
https://hdl.handle.net/10013/sensor.79f77747-ec7d-45e1-bdbd-4edd3e19570a
AUTOFIM_10001.125
4057
https://hdl.handle.net/10013/sensor.8a86e201-2d68-4827-a2b8-b598973d6b23
Pic2132ed
5428
https://hdl.handle.net/10013/sensor.b5d3cb1f-5c31-4e06-9c61-227f748bb4e2
Tpop_76
7348
https://hdl.handle.net/10013/sensor.71ebf254-4811-4102-a7e2-49082892c2be
NAIS_STERN
5427
https://hdl.handle.net/10013/sensor.f08fd3ca-f2e9-4e1a-b9b8-2189cefb68ef
Tpop_75
4339
https://hdl.handle.net/10013/sensor.c7b7173d-9f1a-48ce-b33a-7da99daf3999
2020R15
571
https://hdl.handle.net/10013/sensor.6067d528-3967-42a0-a070-0d56ea913144
isoarc_9999a
5424
https://hdl.handle.net/10013/sensor.590e6e9b-6785-495a-9d3c-d3222e77fecc
Tpop_72
4664
https://hdl.handle.net/10013/sensor.cf708123-5e4c-4e7f-8774-b57695656ae3
DMS_Logger_HSVA
5414
https://hdl.handle.net/10013/sensor.faf56336-38f2-43c7-891e-4935144f730e
Tpop_62
3723
https://hdl.handle.net/10013/sensor.c53fb847-4331-499a-812a-38bae9bcd614
2020M27
5422
https://hdl.handle.net/10013/sensor.8b0eb3c7-e8d1-4ae9-ac46-d6ccddf53848
Tpop_70
7146
https://hdl.handle.net/10013/sensor.f82dd226-eb57-4bcb-952c-84570de95f8d
Dart_Stakes_Clu_11
7147
https://hdl.handle.net/10013/sensor.252f0243-dfa9-42bf-aee8-92101e9311f6
Dart_Stakes_Clu_12
3722
https://hdl.handle.net/10013/sensor.7f633727-816b-4c10-8a4f-da26f7c91cba
2020M26
6975
https://hdl.handle.net/10013/sensor.fffb3049-f115-4506-ab47-c23f28bcee74
UW_IRcam
7148
https://hdl.handle.net/10013/sensor.dde12312-6486-4150-aa0f-1790d559ebde
Dart_Stakes_Clu_13
6506
https://hdl.handle.net/10013/sensor.7f682884-3e8b-4cac-a2db-768d99646739
121CU
4682
https://hdl.handle.net/10013/sensor.f3691fbc-a1fd-444b-bef9-06296ee771bf
Dart_ASD
7130
https://hdl.handle.net/10013/sensor.2826eddf-0502-43ae-934d-f2c9d4bd3a8a
mss_90L_091
7045
https://hdl.handle.net/10013/sensor.060cc5c8-1972-457b-a1e4-698427070f59
UW_castaway_CC1415003
4807
https://hdl.handle.net/10013/sensor.7c87a1ed-26a3-4fb9-9cf6-e828fef5d80d
MEC2
7115
https://hdl.handle.net/10013/sensor.69bdfca8-b1d8-491e-a9f3-86e611219471
microtops_24209
7378
https://hdl.handle.net/10013/sensor.406bc096-e0d2-40f2-ab38-418a0d84662b
cau_stickle_1
4521
https://hdl.handle.net/10013/sensor.0d290109-ac6e-4750-833f-a11259f75711
SN_TLS600
6366
https://hdl.handle.net/10013/sensor.17a2de25-0042-4b29-9355-18965a18237e
73CU
6444
https://hdl.handle.net/10013/sensor.cdd9c97f-ce43-4a0d-868f-0d01676863b3
6CU
7356
https://hdl.handle.net/10013/sensor.070eff56-da4a-4551-80d5-f1b84a753bb0
Larm
4814
https://hdl.handle.net/10013/sensor.3f796e2f-f4af-4bea-b263-0c741388ad3a
S_XT_SN19076
3343
https://hdl.handle.net/10013/sensor.991e7822-b888-43db-a966-03eb5037f2a3
TB_MOSAiC_TROPOS
4883
https://hdl.handle.net/10013/sensor.2da74fe1-ffe0-428e-967d-8c6f781e9198
CAMP_2_TROPOS
6976
https://hdl.handle.net/10013/sensor.c0b39158-247d-4588-a263-c40f8949a3b9
UW_GoPro
7377
https://hdl.handle.net/10013/sensor.9ac7eaa2-f11e-4916-ae0e-768ea6d7019f
cau_boeoetle_1
4685
https://hdl.handle.net/10013/sensor.7818464f-3dff-4ff9-a661-84de422995d0
Dart_YSI
7143
https://hdl.handle.net/10013/sensor.be6abfa9-f22b-435e-8969-0c4f98ed92ed
water_sampler
4680
https://hdl.handle.net/10013/sensor.fbed9fd3-12c9-4c51-ab46-ca08d82d3569
UW_SPECEVOL
4455
https://hdl.handle.net/10013/sensor.7e200222-e356-4620-934a-5a45d1c0c30a
CAU_RAMSES_1
4456
https://hdl.handle.net/10013/sensor.69edcae1-c375-4489-959b-3f42ba021520
CAU_RAMSES_2
4457
https://hdl.handle.net/10013/sensor.2c3d453d-15a3-4649-9f5a-1b70c7bdc987
CAU_RAMSES_3
7371
https://hdl.handle.net/10013/sensor.74d57208-0523-481b-8bec-256959b435ae
CAU_GARMINGPS_1
6989
https://hdl.handle.net/10013/sensor.31a7fc07-e143-4026-881d-2b26a560e6b9
IOP_Probe
4510
https://hdl.handle.net/10013/sensor.7c12f923-f510-4771-a6b1-b3e7e41e788c
FP-C14CH4air
7339
https://hdl.handle.net/10013/sensor.cb02fdd6-bafe-4cb3-8c59-5e00912ead70
peristaltic_pump
7347
https://hdl.handle.net/10013/sensor.240c13aa-f30e-4abc-b595-dd2b7bb2adcf
RN150_60cm
7388
https://hdl.handle.net/10013/sensor.1c7f4bec-49b1-467b-9234-6353c6203f15
cau_notecam_1
4753
https://hdl.handle.net/10013/sensor.8867f0d2-1a5d-4ad4-a161-f6622e350145
DTC26_416
7357
https://hdl.handle.net/10013/sensor.a9e5a770-df21-4638-842b-6793a073879f
general_fish_sampler
5081
https://hdl.handle.net/10013/sensor.b2459dc5-a19e-419c-b371-3923d5b1574e
Panomax
7097
https://hdl.handle.net/10013/sensor.6468cedc-b888-4eb0-80e9-9c29107d9033
2020P172
7595
https://hdl.handle.net/10013/sensor.ef9ed127-17d2-48f1-a190-15b09e2bd011
2020T84
7600
https://hdl.handle.net/10013/sensor.5409d0b2-2069-4159-b0c3-6d496c05570d
2020F5
7334
https://hdl.handle.net/10013/sensor.0a1b2aa5-3dbb-4eae-b6f1-98c6a6816c8d
2020P233
3981
https://hdl.handle.net/10013/sensor.4463da9b-9d88-4f26-860c-78a01d3f5f28
2020S98
3351
https://hdl.handle.net/10013/sensor.736a5d1a-7ee2-4780-a223-902d62b16d45
2020M23
7597
https://hdl.handle.net/10013/sensor.3b936b7a-fa57-47e4-92df-a9075940ede1
2020S109
7337
https://hdl.handle.net/10013/sensor.ed58a94c-5142-4117-bc6e-9c3a195a7036
2020P236
5177
https://hdl.handle.net/10013/sensor.c4a433b5-b48d-4793-bda1-24c8ac6d2b4c
AquaDopp_8415
5175
https://hdl.handle.net/10013/sensor.a3529641-45d4-4c9c-9ed9-e05c6c4f90a2
Vector_5418
3400
https://hdl.handle.net/10013/sensor.cd259390-a434-4c57-96ea-cee909f6b1f8
2020P115
3404
https://hdl.handle.net/10013/sensor.f0de85fe-d2e2-4a9f-83be-ca8c66974afd
2020P118
7649
https://hdl.handle.net/10013/sensor.14eb6d4e-493b-444c-ac4a-5f25f23cec22
Lead_CTD_chain
7651
https://hdl.handle.net/10013/sensor.d62b1cfd-1b01-46a8-98ec-60f2ebb535f3
BOS077
7653
https://hdl.handle.net/10013/sensor.d81d888a-f32b-454a-b1e0-899022163275
DTC_RS051
7657
https://hdl.handle.net/10013/sensor.26d5e2eb-43ae-4e19-a35d-cd2065a64a22
DTC_RS055
7654
https://hdl.handle.net/10013/sensor.2fdf2303-4462-4f15-8524-7132ee0ce860
DTC_RS052
7655
https://hdl.handle.net/10013/sensor.225f2c10-5ef4-47e3-b62f-31a14e666e44
DTC_RS053
7656
https://hdl.handle.net/10013/sensor.978a65a4-4ac9-4e7e-8596-7656fa8110ee
DTC_RS054
7658
https://hdl.handle.net/10013/sensor.2ac088ee-7e12-4e1f-bdba-8151e469f25c
DTC_RS056
7407
https://hdl.handle.net/10013/sensor.1b6f2b86-6d40-42fa-8aa6-b1542783ea1b
azfp_076
ibob_078
7006
https://hdl.handle.net/10013/sensor.f72a9c9e-d0ee-4d7f-8e5a-9fb6ef58feed
2020S105
7663
https://hdl.handle.net/10013/sensor.5d91a1da-04d6-4e24-97aa-035a1b09585f
aerosol_chamber_olla
7664
https://hdl.handle.net/10013/sensor.14a2846e-2bc0-4556-bcb1-3284ff65fcd5
smps_spain
7598
https://hdl.handle.net/10013/sensor.d24ab5a5-d803-40dc-acb7-1fd5333e9d76
2020T85
6013
https://hdl.handle.net/10013/sensor.495ad36b-fd57-400e-ae66-8de087d378c4
SIO_McLanePPS24
7335
https://hdl.handle.net/10013/sensor.e897c251-dab1-42db-a087-ccadfc1e6aa6
2020P234
4133
https://hdl.handle.net/10013/sensor.b5c9e281-1674-41c5-a229-dac08df0f81f
thermorec-1
4469
https://hdl.handle.net/10013/sensor.c2b18e7b-6c08-4b33-99ab-d1e2bb6280fe
thermorec-2
4470
https://hdl.handle.net/10013/sensor.c25be241-0a64-4513-b2ad-269f349d1c92
thermorec-3
4471
https://hdl.handle.net/10013/sensor.1564c716-e8cd-4cd4-a1b8-3a6c49b11431
thermorec-4
4472
https://hdl.handle.net/10013/sensor.bb2fb7e3-3d02-4037-9cec-3f8722cff6d9
thermorec-5
4473
https://hdl.handle.net/10013/sensor.547cbe04-1cda-45fd-b860-6770f94cc1fd
thermorec-6
4474
https://hdl.handle.net/10013/sensor.5c23fd5d-5848-4af2-b344-b061571f77cd
thermorec-7
4475
https://hdl.handle.net/10013/sensor.55cdac49-6b5c-4164-b5f0-68ea5af4a4cd
thermorec-8
7330
https://hdl.handle.net/10013/sensor.51d4fe74-9643-476f-a90d-d9bc90e6a171
2020P229
7331
https://hdl.handle.net/10013/sensor.b77b1a9f-030e-4760-8651-1b1718f6bfcf
2020P230
7332
https://hdl.handle.net/10013/sensor.fd1f91f4-15f1-4997-9097-1be76d384df8
2020P231
7338
https://hdl.handle.net/10013/sensor.f939f0bf-7226-4eab-9bac-7bd60ae9468d
2020P237
6481
https://hdl.handle.net/10013/sensor.ce6068a8-6d31-47ae-b3b1-e1642a37c842
2020T78
7149
https://hdl.handle.net/10013/sensor.ea53c305-fe30-4081-86e5-b94d2edb3427
Dart_Stakes_Clu_14
7389
https://hdl.handle.net/10013/sensor.5844e9c2-dcb3-4d94-91fd-96d0de43936a
2020S107
7372
https://hdl.handle.net/10013/sensor.91f6cb78-69e9-48e5-8242-8ab632a0335f
2020S106
7342
https://hdl.handle.net/10013/sensor.492059a7-e2fd-4362-ba52-fc4e2b3ccdef
2020T81
5186
https://hdl.handle.net/10013/sensor.d8b33e37-4347-4b6a-a8ee-5d8ede5a7709
GPS_MY_5460
5187
https://hdl.handle.net/10013/sensor.28ab3b40-afd3-4096-b204-16bd856c1b2c
GPS_MY_5610
5188
https://hdl.handle.net/10013/sensor.6c1fc266-9184-4ea8-8639-f18ca14f5947
GPS_MY_5620
7561
https://hdl.handle.net/10013/sensor.c95bebfc-e309-4eeb-93ad-2dbc05f1e11f
2020S108
7384
https://hdl.handle.net/10013/sensor.2f979aab-5fe7-456e-8d75-1cdec2893f78
2020R22
7091
https://hdl.handle.net/10013/sensor.eea35369-14a3-459a-923b-47d46a858d10
2020P166
7093
https://hdl.handle.net/10013/sensor.8017bf73-fc5b-4dce-80be-f877c31242e5
2020P168
7100
https://hdl.handle.net/10013/sensor.511cb343-a066-455c-8bb4-f91d16182cd8
2020P175
7090
https://hdl.handle.net/10013/sensor.a0e85ce1-b624-4edb-a106-77c2aa2b832f
2020P165
7095
https://hdl.handle.net/10013/sensor.8034384d-1f49-4d25-bf0c-112770b4a8bc
2020P170
7103
https://hdl.handle.net/10013/sensor.19228b4f-0b2b-4b4d-a6c7-ecca1e309dd5
2020P178
7094
https://hdl.handle.net/10013/sensor.be153646-02be-4cee-8c89-f08539068c29
2020P169
7089
https://hdl.handle.net/10013/sensor.050e22ac-bd1f-42fd-b36f-454d61564f6b
2020P164
7088
https://hdl.handle.net/10013/sensor.6323de87-6965-44d2-83fc-e0860d5e6548
2020P163
7087
https://hdl.handle.net/10013/sensor.eecbc8f6-a6f2-43b0-b53e-de01dfedf23b
2020P162
7106
https://hdl.handle.net/10013/sensor.8724164d-17b3-4251-8931-f7b2953013c9
2020P181
7380
https://hdl.handle.net/10013/sensor.71e0b114-8cfe-4a27-9b44-d4c8dfe8f360
2020R21
7101
https://hdl.handle.net/10013/sensor.f1a73bc8-21a0-4109-aa68-93aee2220196
2020P176
7104
https://hdl.handle.net/10013/sensor.ad231318-4d2f-44bf-8f50-5bb1b3b7bbe0
2020P179
7092
https://hdl.handle.net/10013/sensor.1de58644-2ce8-4007-b94c-19e830b39814
2020P167
7096
https://hdl.handle.net/10013/sensor.bba23433-4a1e-4b4c-95eb-1efc8402ce93
2020P171
7105
https://hdl.handle.net/10013/sensor.ccc7d6d4-4ced-44c3-8f48-9e1af791e34b
2020P180
7102
https://hdl.handle.net/10013/sensor.1521887d-a5fe-4d78-835c-bf9760e8d82b
2020P177
7099
https://hdl.handle.net/10013/sensor.be808048-898b-4867-a5b2-6140ddf1d89a
2020P174
7575
https://hdl.handle.net/10013/sensor.53ace4c4-dde0-40dc-a1e7-a555a595b618
2020O10
3721
https://hdl.handle.net/10013/sensor.585485c0-9ea9-44a7-b279-abab894c87fe
2020M28
7336
https://hdl.handle.net/10013/sensor.608d2e0a-9614-4bff-9695-5cb1f8cf66d7
2020P235
7098
https://hdl.handle.net/10013/sensor.265f6a8f-1333-4d5c-a6cb-daf973bcf73a
2020P173
7333
https://hdl.handle.net/10013/sensor.f0a4c697-5324-4bb5-b791-32f8b4892838
2020P232
5079
https://hdl.handle.net/10013/sensor.946a8943-69fe-41b1-9055-33fa8c6105f2
XCTD_MK150_1
5381
https://hdl.handle.net/10013/sensor.c655ff13-a76d-4fa9-9e95-8f79b01f1f38
Tpop_57
7369
https://hdl.handle.net/10013/sensor.3de82de9-a0c7-464d-9769-b9e8116768e8
fmi_mavic2pro_drone
5178
https://hdl.handle.net/10013/sensor.f2e9886a-900e-4cce-b1b4-e0b412b386f9
RINKO-pro_592
5411
https://hdl.handle.net/10013/sensor.a4687f8b-db7e-4ebd-ab2c-72b14223c405
Tpop_59
7361
https://hdl.handle.net/10013/sensor.fdde439b-c0fb-4869-b661-9881d9b3ad2c
CO2-equilibrator-sea-ice
4816
https://hdl.handle.net/10013/sensor.dfddc0be-1505-4910-8b1c-acdd63840e98
KZ_CNR4_SN090078
7366
https://hdl.handle.net/10013/sensor.0da1795f-dbc8-4873-ad11-eb72153fe60a
FMI_Spectra_Copter
4322
https://hdl.handle.net/10013/sensor.86cdb17a-5578-4a30-a90c-86aedb9663d2
Eco_mp_1
5558
https://hdl.handle.net/10013/sensor.459aff36-f57a-41f7-8130-d19b833ef24b
Ice_rail
5410
https://hdl.handle.net/10013/sensor.93376a3b-bbcc-468f-962b-64074a3c67d5
Tpop_58
5412
https://hdl.handle.net/10013/sensor.c4e7025e-7610-4ce1-8d87-a62066b8d11d
Tpop_60
7648
https://hdl.handle.net/10013/sensor.65521ec0-3914-4d54-813f-3e9b066113d9
AARI_thermometer
4451
https://hdl.handle.net/10013/sensor.9f5d2dd9-02ea-4e4f-9a2d-0d18424ba59c
CAU_ASD
2021-04-30T06:42:49Z
StartDateTime
2021-04-30T06:43:06Z
EndDateTime
2021-05-19T06:25:51Z
Kanzow, Torsten
2021-05-19T06:26:18Z
Haas, Christian
2021-05-19T06:26:39Z
Krumpen, Thomas
2021-05-19T06:26:57Z
Shupe, Matthew D
2021-05-19T06:27:10Z
Metfies, Katja
2021-05-19T06:27:32Z
Sokolov, Vladimir
AF-MOSAiC-1_1
AF-MOSAiC-1_10
AF-MOSAiC-1_100
AF-MOSAiC-1_101
AF-MOSAiC-1_102
AF-MOSAiC-1_103
AF-MOSAiC-1_104
AF-MOSAiC-1_105
AF-MOSAiC-1_106
AF-MOSAiC-1_107
AF-MOSAiC-1_108
AF-MOSAiC-1_109
AF-MOSAiC-1_11
AF-MOSAiC-1_110
AF-MOSAiC-1_111
AF-MOSAiC-1_112
AF-MOSAiC-1_113
AF-MOSAiC-1_114
AF-MOSAiC-1_115
AF-MOSAiC-1_116
AF-MOSAiC-1_117
AF-MOSAiC-1_118
AF-MOSAiC-1_119
AF-MOSAiC-1_12
AF-MOSAiC-1_120
AF-MOSAiC-1_121
AF-MOSAiC-1_122
AF-MOSAiC-1_123
AF-MOSAiC-1_124
AF-MOSAiC-1_125
AF-MOSAiC-1_126
AF-MOSAiC-1_127
AF-MOSAiC-1_128
AF-MOSAiC-1_129
AF-MOSAiC-1_130
AF-MOSAiC-1_131
AF-MOSAiC-1_132
AF-MOSAiC-1_133
AF-MOSAiC-1_134
AF-MOSAiC-1_135
AF-MOSAiC-1_136
AF-MOSAiC-1_137
AF-MOSAiC-1_138
AF-MOSAiC-1_139
AF-MOSAiC-1_140
AF-MOSAiC-1_141
AF-MOSAiC-1_142
AF-MOSAiC-1_143
AF-MOSAiC-1_144
AF-MOSAiC-1_145
AF-MOSAiC-1_146
AF-MOSAiC-1_147
AF-MOSAiC-1_148
AF-MOSAiC-1_149
AF-MOSAiC-1_150
AF-MOSAiC-1_151
AF-MOSAiC-1_152
AF-MOSAiC-1_153
AF-MOSAiC-1_154
AF-MOSAiC-1_155
AF-MOSAiC-1_156
AF-MOSAiC-1_157
AF-MOSAiC-1_158
AF-MOSAiC-1_159
AF-MOSAiC-1_160
AF-MOSAiC-1_161
AF-MOSAiC-1_162
AF-MOSAiC-1_163
AF-MOSAiC-1_164
AF-MOSAiC-1_165
AF-MOSAiC-1_166
AF-MOSAiC-1_167
AF-MOSAiC-1_168
AF-MOSAiC-1_169
AF-MOSAiC-1_170
AF-MOSAiC-1_171
AF-MOSAiC-1_172
AF-MOSAiC-1_173
AF-MOSAiC-1_174
AF-MOSAiC-1_175
AF-MOSAiC-1_176
AF-MOSAiC-1_177
AF-MOSAiC-1_178
AF-MOSAiC-1_179
AF-MOSAiC-1_180
AF-MOSAiC-1_181
AF-MOSAiC-1_182
AF-MOSAiC-1_183
AF-MOSAiC-1_2
AF-MOSAiC-1_22
AF-MOSAiC-1_23
AF-MOSAiC-1_24
AF-MOSAiC-1_25
AF-MOSAiC-1_26
AF-MOSAiC-1_27
AF-MOSAiC-1_28
AF-MOSAiC-1_29
AF-MOSAiC-1_3
AF-MOSAiC-1_30
AF-MOSAiC-1_31
AF-MOSAiC-1_32
AF-MOSAiC-1_33
AF-MOSAiC-1_34
AF-MOSAiC-1_35
AF-MOSAiC-1_36
AF-MOSAiC-1_37
AF-MOSAiC-1_38
AF-MOSAiC-1_39
AF-MOSAiC-1_4
AF-MOSAiC-1_40
AF-MOSAiC-1_41
AF-MOSAiC-1_42
AF-MOSAiC-1_43
AF-MOSAiC-1_44
AF-MOSAiC-1_45
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PS122/5_63-63
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PS122/5_63-65
PS122/5_63-66
PS122/5_63-67
PS122/5_63-68
PS122/5_63-69
PS122/5_63-7
PS122/5_63-70
PS122/5_63-71
PS122/5_63-72
PS122/5_63-73
PS122/5_63-74
PS122/5_63-75
PS122/5_63-76
PS122/5_63-77
PS122/5_63-78
PS122/5_63-79
PS122/5_63-8
PS122/5_63-80
PS122/5_63-81
PS122/5_63-82
PS122/5_63-83
PS122/5_63-84
PS122/5_63-85
PS122/5_63-86
PS122/5_63-87
PS122/5_63-88
PS122/5_63-89
PS122/5_63-9
PS122/5_63-90
PS122/5_63-91
PS122/5_63-92
PS122/5_63-93
PS122/5_63-94
PS122/5_63-95
PS122/5_63-96
PS122/5_63-97
PS122/5_63-98
PS122/5_63-99
PS122/5_99-1
PS122/5_99-10
PS122/5_99-11
PS122/5_99-12
PS122/5_99-13
PS122/5_99-14
PS122/5_99-15
PS122/5_99-16
PS122/5_99-17
PS122/5_99-18
PS122/5_99-19
PS122/5_99-2
PS122/5_99-20
PS122/5_99-21
PS122/5_99-22
PS122/5_99-23
PS122/5_99-24
PS122/5_99-25
PS122/5_99-26
PS122/5_99-27
PS122/5_99-28
PS122/5_99-29
PS122/5_99-3
PS122/5_99-30
PS122/5_99-31
PS122/5_99-32
PS122/5_99-33
PS122/5_99-34
PS122/5_99-35
PS122/5_99-36
PS122/5_99-37
PS122/5_99-38
PS122/5_99-39
PS122/5_99-4
PS122/5_99-40
PS122/5_99-41
PS122/5_99-42
PS122/5_99-43
PS122/5_99-44
PS122/5_99-45
PS122/5_99-5
PS122/5_99-6
PS122/5_99-7
PS122/5_99-8
PS122/5_99-9
2021-05-24T23:30:49Z
AT-MOSAiC-1
2021-05-24T23:46:38Z
Longyearbyen
2021-05-24T23:53:00Z
Akademik Tryoshnikov
'2020-08-06'
'2020-08-06'
2021-05-25T00:14:14Z
P5_223_MOSAiC_ACA_2020_2008060101
'2020-08-30'
'2020-08-30'
2021-05-25T00:18:07Z
P5_223_MOSAiC_ACA_2020_2008300201
'2020-08-31'
'2020-08-31'
2021-05-25T00:18:26Z
P5_223_MOSAiC_ACA_2020_2008310301
'2020-08-31'
'2020-08-31'
2021-05-25T00:18:44Z
P5_223_MOSAiC_ACA_2020_2008310402
'2020-09-02'
'2020-09-02'
2021-05-25T00:19:00Z
P5_223_MOSAiC_ACA_2020_2009020501
'2020-09-04'
'2020-09-04'
2021-05-25T00:19:17Z
P5_223_MOSAiC_ACA_2020_2009040601
'2020-09-07'
'2020-09-07'
2021-05-25T00:19:31Z
P5_223_MOSAiC_ACA_2020_2009070701
'2020-09-08'
'2020-09-08'
2021-05-25T00:19:47Z
P5_223_MOSAiC_ACA_2020_2009080801
'2020-09-10'
'2020-09-10'
2021-05-25T00:20:03Z
P5_223_MOSAiC_ACA_2020_2009100901
'2020-09-11'
'2020-09-11'
2021-05-25T00:20:20Z
P5_223_MOSAiC_ACA_2020_2009111001
'2020-09-13'
'2020-09-13'
2021-05-25T00:21:01Z
P5_223_MOSAiC_ACA_2020_2009131101
'2020-09-13'
'2020-09-13'
2021-05-25T06:46:54Z
P6_222_IceBird_MOSAiC_2020_2009130801
'2020-09-11'
'2020-09-11'
2021-05-25T06:47:44Z
P6_222_IceBird_MOSAiC_2020_2009110701
2021-05-25T19:13:56Z
AWI Research Aircraft
Polar 6
2021-05-25T19:14:18Z
AWI Research Aircraft
Polar 5
'2019-12-13 9:04:45'
'2019-09-20 17:30:00'
2021-05-26T16:38:16Z
PS122/1-track
'2019-12-13'
'2019-09-20'
2021-05-26T17:30:17Z
PS122/2-track
'2020-06-04'
'2020-02-24'
2021-05-26T17:32:00Z
PS122/3-track
'2020-08-12'
'2020-06-04'
2021-05-26T17:33:08Z
PS122/4-track
'2020-10-12'
'2020-08-12'
2021-05-26T17:36:12Z
PS122/5-track
'2019-10-18'
'2019-09-21'
2021-05-26T17:38:35Z
AF-MOSAiC-1_track
Oguz Demir and Joel Johnson. 2021. Arctic sea ice thermal emission measurements from the Ultra Wideband Microwave Radiometer (UWBRAD) at the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Expedition in January 2020.
urn:uuid:af2ceda7-52b7-4009-bfef-bfe2f990eb6a
endTime
The endTime of something. For a reserved event or service (e.g. FoodEstablishmentReservation), the time that it is expected to end. For actions that span a period of time, when the action was performed. e.g. John wrote a book from January to <em>December</em>. For media, including audio and video, it's the time offset of the end of a clip within a larger file.<br/><br/>
Note that Event uses startDate/endDate instead of startTime/endTime, even when describing dates with times. This situation may be clarified in future revisions.
startTime
The startTime of something. For a reserved event or service (e.g. FoodEstablishmentReservation), the time that it is expected to start. For actions that span a period of time, when the action was performed. e.g. John wrote a book from <em>January</em> to December. For media, including audio and video, it's the time offset of the start of a clip within a larger file.<br/><br/>
Note that Event uses startDate/endDate instead of startTime/endTime, even when describing dates with times. This situation may be clarified in future revisions.