The Data Access Portal has information in 3 columns. An outline of the content in these columns is provided above. When first entering the search interface, all potential datasets are listed. Datasets are indicated in the map and results tabulation elements which are located in the middle column. The order of results can be modified using the "Sort by" option in the left column. On top of this column is normally relevant guidance information to user presented as collapsible elements.
If the user want to refine the search, this can be done by constraining the bounding box search. This is done in the map - the listing of datasets is automatically updated. Date constraints can be added in the left column. For these to take effect, the user has to push the button marked search. In the left column it is also possible to specific text elements to search for in the datasets. Again pushing the button marked "Search" is necessary for these to take action. Complex search patterns can be constructed using logical operators and phrases embedded in quotation marks. Logical operators include AND, OR and NOT. Remember to add space around operators. Text strings that are not quoted are trated as separate words and will match any of the words (i.e. assuming the OR operator). E.g. in order to find WMO synoptic weather station data from Verlegenhuken use the search phrase: [synop AND verlegenhuken]. Searches are case insensitive.
Other elements indicated in the left and right columns are facet searches, i.e. these are keywords that are found in the datasets and all datasets that contain these specific keywords in the appropriate metadata elements are listed together. Further refinement can be done using full text, date or bounding box constraints. Individuals, organisations and data centres involved in generating or curating the datasets are listed in the facets in the right column.
Collections
Collections allows the user to search in subsets of the existing catalogue. The collections are primarily data management projects that have been incorporated in the ADC catalogue after the project has ended. In this context the ADC is the long term access solution for these data. The collections currently served through ADC include (datasets may belong to multiple data collections):
ADC is the full collection of this service CC is the CryoClim collection
In order to search a specific data collection select that collection. If no data collection is selected all collections are searched.
AeN are data related to the Nansen Legacy project and are better explored through the SIOS Data Access Point using the collection defined there which is available through this URL.
SIOS, InfraNOR, SIOSCD, SIOSAP, SESS_* are collections related to SIOS. These are better explored through the SIOS Data Access Portal
Some cleaning is pending between InfraNOR and SIOSIN, for some of the SESS collections.
Citation of data and service
Always remember to cite data when used!
Citation information for individual datasets is often provided in the metadata. However, not all datasets have this information embedded in the discovery metadata. On a general basis a citation of a dataset include the same components as any other citation:
author,
title,
year of publication,
publisher (for data this is often the archive where it is housed),
edition or version,
access information (a URL or persistent identifier, e.g. DOI if provided)
The information required to properly cite a dataset is normally provided in the discovery metadata the datasets.
If you use data retrieved through this portal, please acknowledge the Norwegian Meteorological Institute/Arctic Data Centre.
Institutions: The University Centre in Svalbard, The University Centre in Svalbard, The University Centre in Svalbard, The University Centre in Svalbard, Norwegian Meteorological Institute / Arctic Data Centre
The file contains time series of meteorological near-surface parameters measured on a temporary meteorological mast on the southern side of the coast of Adventdalen, Svalbard, from July to August 2022: Both temperature, humidity, wind speed, wind direction were measured at two levels.
Institutions: The University Centre in Svalbard, The University Centre in Svalbard, University of Bergen, University of Bergen, The University Centre in Svalbard, Norwegian Meteorological Institute / Arctic Data Centre
A scanning Doppler Lidar was placed in Adventdalen (Central Spitsbergen, Svalbard, Norway) close to the permanent weather mast SN99870. The Lidar measured between 4 July and 23 August 2022 with different scanning patterns in an hourly cycle. The cycle consisted of three Plan Position Indicator (PPI) scans at 1, 5 and 10 degree from xx:00 to xx:10, Range Height Indicator (RHI) scans alternating between up-valley and down-valley direction from xx:10 to xx:50, Doppler-Beam-Swinging (DBS) technique from xx:50 to xy:00. The radial resolution was 10 m with overlapping range gates of 50 m. Short periods of power cuts were encountered. Frequently there were conditions with little backscatter and low carrier-to-noise ratio, especially in light down-valley winds.
Geophone and Hydrophone deployments in Svalbard 2022, to measure the vibrations in sea ice following the appearance of cracks. For more information, see https://github.com/jvoermans/Geophone_Logger .
Institutions: UiT The Arctic University of Norway, UiT The Arctic University of Norway
Last metadata update: 2024-01-19T11:29:43Z
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Abstract:
An X-ray scan of Priapulopsis bicaudatus. Sample collected by Bodil Bluhm in field (2019-08-16), preserved in 70% EtOH, then stored as a voucher specimen at The Arctic University Museum of Norway with collection number TSZY 427. Before scanning the specimen was encapsuled in wax, then imaged in a Zeiss Xradia Versa 620.
The data has been collected during the Nansen Legacy Joint Cruise 3, 19th February – 11th March 2022 on the research vessel RV Kronprins Haakon (cruise number 2022702), along a transect from 76N to 82N east of Svalbard. The dataset contains mesozooplankton occurrence. It has been sampled using a BongoNet, HydroBios 60 cm. Small mesozooplankton were collected with a mesh-size 64 µm and large mesozooplankton with a mesh-size 180 µm. All specimens are identified to the lowest taxonomical level and the occurrence is given for a specific species and stage or size group as ind/m3.
Sampling method:
The sampling covers a transect from 76 N to 82 N in the northern Barents Sea and Arctic Ocean. Zooplankton has been collected using a BongoNet 60 cm (HydroBios, opening: 0.2827 m2, net length: 250 cm). Small mesozooplankton were collected with a mesh-size 64 µm and large mesozooplankton with a mesh-size 180 µm. All samples were added 4 % formaldehyde free from acid.
PLEASE NOTE: THIS DATASET CONTAINS TWO COMPLETE DATASETS OF ZOOPLANKTON: ONE FOR SMALL MESOZOOPLANKTON (APPROX BODY SIZE BELOW 2 MM) COLLECTED WITH MULTINET 64 µM AND ONE FOR LARGE MESOZOOPLANKTON (APPROX BODY SIZE ABOVE 2 MM) COLLECTED WITH MULTINET 180 µM MESH SIZE. THE INFO ABOUT WHICH NET IS USED CAN BE FOUND IN gearType, USE EITHER 64 UM OR 180 UM DEPENDING ON WHETHER THE FOCUS IS SMALL OR LARGE MESOZOOPLANKTON
Analyse method:
All samples have been analysed at Institute of Oceanology of the Polish Academy of Sciences (IOPAN). The organisms were identified and counted under a stereomicroscope equipped with an ocular micrometer, according to standard procedures (Harris et al. 2000). Small-sized zooplankters (most of Copepoda, juvenile stages of Pteropoda, Euphausiacea, Ostracoda, Amphipoda and Chaetognatha) were identified and counted in sub-samples obtained from the fixed sample volume by automatic pipette (approximately 500 individuals). Large zooplankters (big Copepoda, Pteropoda, Euphausiacea, Ostracoda, Amphipoda, Decapoda, Appendicularia, Chaetognatha, and Pisces larvae) were sorted out and identified from the whole sample. Representatives of Calanus spp. were identified at the species level based on morphology and prosome lengths of individual copepodid stages (Kwasniewski et al. 2003).
Data structure:
The data is following Darwin Core nomenclature as far as possible but also include variables that aren’t supported by Darwin Core. All information about the sampling such as eventDate, latitude, longitude, depts etc is located in event file while the result such as scientificName, lifeStage, occurrence etc. are found in the occurrence file
Header name index - events
- expedition: cruise number for R/V Kronprins Haakon
- eventID: UUID for the sampel
- parentID: UUID for the gear deployment (each MultiNet deployment has a unique parentID)
- eventDate: the date-time when an event occurred, using ISO 8601-1:2019 format (2020-07-27T07:16:03.446Z).
- fieldNumber: human-readable sample ID (e.g. ZOT-001)
- locationID: station name
- decimalLongitude: geographic latitude (in decimal degrees, using the spatial reference system given in geodetic datum)
- decimalLatitude: geographic longitude (in decimal degrees, using the spatial reference system given in geodeticDatum)
- bottomDepthInMeters: bottom depth in meters
- eventRemarks: comments or remarks about the event (free text field)
- gearType: the gear used to take the sample e.g. MultiNet 200 µm
- maximumDepthInMeters: bottom depth of the sampled layer
- minimumDepthInMeters: top depth of the sampled layer
- sampleType: description of the sample type according to a standard list
- fieldSplit: info about whether the sample is splitted. If the sample was split in 2 then fieldSplit = 2
- initialSampleVolume: The volume of water filtered through the plankton net. (initialSampleVolume = (netOpeningArea * (maximumDepthInMeters – minimumDepthInMeters)/field Split), Bongonet opening area: 3.14*(0.3)^2=0.2826 m2
- recordedBy: name of the person who took the samples
- principalInvestigatorName: name of the person in charge of the sample collection
- principalInvestigatorEmail: email address of the person in charge of the sample collection
- principalInvestigatorInstitution: affiliated institution of the person in charge of the sample collection
Header name index - occurrence
- analysedFraction: fraction of the sampled volume that is examined for organism counted
- individualCount: the number of individuals present in the analysed volume (see extra information below)
- phylum, class, order, family, genus & taxonKey-LSID: Taxonomical information for given species according to Worms
- scientificName: full scientific name of the identified organism at the lowest taxonomic level that can be ascertained. The scientificName should be selected from a drop-down menu linked to the list in taxonomy sheet. (e.g Calanus finmarchicus).
- identificationQualifier: A standard term (sp., spp., and indet.) to express the determiner’s doubts about the Identification.
- lifeStage: the age class, life stage, or life form/morph of the organism.
- sizeGroupOperator: describes if the size group is less than or greater than a value (It = less than, gte = greater or equal to)
- sizeGroup: the size group in mm.
- organismRemark: indicates whether it is mesozooplankton, macrozooplankton, rare species
- identificationRemarks: a free text field for adding information relevant to the analysis. Used to indicate the speciemen that were dead. When nothing was remarked they were alive.
- identifiedBy: person who did the lab-analyse
- sampleSizeValue: the sample volume used to calculate the organismQuantity (sampleSizeValue 0 initialSampleVolume *analysedFraction)
- sampleSizeUnit: m3
- organismQuantity: the quantity of the organism per volume water in the environment (organismQuantity = individualCount/sampleSizeValue)
- organismQuantityType: ind/m3
Additional information for some of the fields
individualCount: The number of (all) organisms found in the sample examined
- for “mesozooplankton”, the number of mesozooplankton (medium size zooplankton organisms) encountered in all sub-samples
- for “macrozooplankton”, the number of macrozooplankton (large size zooplankton organisms, total length > 5 mm) encountered, identified in the entire sample
- for “rare” zooplankton, we only enter information about the finding of “rare” zooplankton in the database template, and its absolute number (“organismQuantity”) is not estimated
Funding:
The Nansen Legacy is funded by the Research Council of Norway and the Norwegian Ministry of Education and Research. They provide 50% of the budget while the participating institutions contribute 50% in-kind. The total budget for the Nansen Legacy project is 740 mill. NOK.
These datasets contain 100 continuous grids of ice thickness, bed topography, and topographic adjustments to geothermal heat flow in the region surrounding Dome Fuji, East Antarctica. Continuous ice thickness grids were created using publicly available measurement data and sequential gaussian simulation to generate statistically likely values between measurements. The simulation was run 100 times to create the ice thickness grids, which were then used to calculate bed elevation by subtracting from REMA ice surface elevations, and the local topographic impacts on background geothermal heat flow. The results are in raster format (.tif) and are projected in an EPSG: 3031 Antarctic Polar Stereographic coordinate system. The spatial extent is 596000 m to 1020000 m Easting and 816000 m to 1240000 m Northing with cell size 500 m x 500 m (848 columns, 848 rows). Ice-thicknesses are provided in meters and bed elevations are in meters referenced to the WGS84 Ellipsoid.
The data was collected during the Nansen Legacy Joint Cruise 3 from 19 February – 11 March 2022 on the research vessel RV Kronprins Haakon (cruise number 2022702), along a transect in the northern Barents Sea from 76° N to 82° N. The dataset contains abundance of pelagic marine protists, including phytoplankton (autotrophic) and protozooplankton (heterotrophic). Protists were identified and counted with light microscopy using the Utermöhl method and the results are given as cells per liter (cells/L) called organismQuantity.
Sampling method:
The samples were collected with Niskin bottles attached to a CTD rosette at the following depths: 0, 15, 30, 60, 90 m, and deep chlorophyll max (DCM) if it differed from the existing depths. The samples were preserved using an aldehyde mixture of glutaraldehyde and hexamethylenetetramine-buffered formalin at final concentrations of 0.1% and 1% respectively.
Analyse method:
All samples have been analysed at Institute of Oceanology of the Polish Academy of Sciences (IOPAN). The organisms were identified and counted under an inverted microscope according to the Utermöhl method.
Header name index - events
- expedition: cruise number for R/V Kronprins Haakon
- eventID: UUID for the sample
- parentID: UUID for the gear deployment (each Niskin has a unique parentID)
- eventDate: the date-time when an event occurred, using ISO 8601-1:2019 format (2020-07-27T07:16:03.44Z).
- fieldNumber: human-readable sample ID (e.g. PHT-001)
- locationID: station name
- decimalLongitude: geographic latitude (in decimal degrees, using the spatial reference system given in geodetic datum)
- decimalLatitude: geographic longitude (in decimal degrees, using the spatial reference system given in geodeticDatum)
- bottomDepthInMeters: bottom depth in meters
- eventRemarks: comments or remarks about the event (free text field)
- gearType: the gear used to take the sample e.g. Niskin bottle
- samplingDepthInMeters: depth sampled
- sampleType: description of the sample type according to a standard list
- recordedBy: name of the person who took the samples
- principalInvestigatorName: name of the person in charge of the sample collection
- principalInvestigatorEmail: email address of the person in charge of the sample collection
- principalInvestigatorInstitution: affiliated institution of the person in charge of the sample collection
Header name index - occurrence
- expedition: cruise number for R/V Kronprins Haakon
- eventID: UUID for the sample. Link the occurrence to the the event file
- phylum: a principal taxonomic category that ranks below kingdom and above class
- class: a taxonomical category that ranks below the phylum and above the order
- order: a taxonomical category that ranks below the class and above the family
- family: a taxonomical category that ranks below the order and above the genus
- genus: a taxonomical category that ranks below the genus and above the species
- taxonKey-LSID: ID for species used in Worms
- scientificName: full scientific name of the identified organism at the lowest taxonomic level that can be ascertained. The scientificName should be selected from a drop-down menu linked to the list in taxonomy sheet. (e.g Thalassiosira hyalina).
- identificationQualifier: A standard term (sp., spp., and indet.) to express uncertainty in identification.
- lifeStage: the life stage (e.g. resting spore) of the organism.
- sizeGroupOperator: describes if the size group is less than or greater than a value (It = less than, gte = greater or equal to)
- sizeGroup: the size group in µm.
- organismRemark: indicates e.g. varieties, colony type
- identificationRemarks: a free text field for adding information relevant to the analysis
- identifiedBy: person who did the lab-analyse
- fieldsInCount: Number of fields counted in the microscope
- magnificationMicroscope: The magnification setting used during analysis. Selected from a drop-down menu linked to vocab-sheet
- maxFields: Number of fields in the entire sedimentation chamber (Related to magnification used)
- takenVolumeML: The volume taken for sedimentation in the Utermöhl chamber (the sub-sample taken for analysis)
- identifiedBy: Drop-down menu linked to list in people-sheet
- dateIdentified: Date for the analysis
- sampleSizeValue=(fieldsInCount/maxFields)*(takenVolumeML/convertionMLtoL)*dilutionFactorFormaldehyde), dilutionFactorFormaldehyde = 0.95
- sampleSizeUnit: liter (l)
- organismQuantity: the quantity of the organism per volume water in the environment (organismQuantity = individualCount/sampleSizeValue)
- organismQuantityType: cells/l
Funding:
The Nansen Legacy is funded by the Research Council of Norway and the Norwegian Ministry of Education and Research. They provide 50% of the budget while the participating institutions contribute 50% in-kind. The total budget for the Nansen Legacy project is 740 mill. NOK.
Ocean microstructure profiles from a physical oceanography cruise in July-August 2022, in the Nansen and Amundsen Basin on R/V Kronprins Haakon, KH2022710. The data set includes 115 profiles of 1-decibar vertically averaged dissipation rate of turbulent kinetic energy, in situ temperature (ITS-90 scale) and salinity (practical salinity scale).
Quality
Profiles are collected using Sea and Sun Technology vertical microstructure profiler (MSS90L). The first 52 profiles are made with MSS053, the next ones with MSS046. The MSS90L is loosely tethered and is deployed using a winch, electric on board and maunal on the sea ice. Dissipation rate is measured using two airfoil shear probes. Profiles are averages from the two shear probes. The temperature and salinity profiles are measured from the SBE sensors on the same instrument. MSS90L has an unpumped CTD system. Careful corrections for temperature/conductivity sensor time lag and thermal lag were made. Temperature and salinity were corrected after comparison with the ship CTD. An offset of -0.05 is applied for profiles 13:52 and of +0.06 for profiles 53:115. Only downcasts from MSS90L are processed using the Sea and Sun technology routines. Resulting profiles are quality controlled, but still require caution from the user. More details are provided in the cruise report.
The data has been collected during the Nansen Legacy Joint Cruise 3 from 19 February – 11 March 2022 on research vessel Kronprins Haakon (cruise number 2022702), along a transect in the northern Barents Sea from 76N to 82N. The dataset contains abundance of ice algae marine protists, including ice algae (autotrophic) and protozoa (heterotrophic). Protists were identified and counted with light microscopy using the Utermöhl method and the result are given as cells per liter (cells/L) called organismQuantity.
Sampling method:
The samples were collected with Kovacs ice corer 9 cm diameter (Kovacs Enterprise). The samples were collected from the bottom part of the ice core at the following dept layers: 0-3 cm, 3-10 cm, 10-20 cm & 20-30 cm. The ice cores were transferred to a clean bucket and 100mL filtered sea water were added per 1 cm of sea ice and melted at 4°C. When the ice core was melted, 95 mL of the sample was transferred into 100 ml brown glass bottle. The samples were preserved using an aldehyde mixture of glutaraldehyde and hexamethylenetetramine-buffered formalin at final concentrations of 0.1% and 1% respectively.
Analyse method:
All samples have been analysed at Institute of Oceanology of the Polish Academy of Sciences (IOPAN). The organisms were identified and counted under an inverted microscope according to the Utermöhl method.
Header name index - events
- expedition: cruise number for R/V Kronprins Haakon
- eventID: UUID for the sample
- parentID: UUID for the gear deployment (each ice core has a unique parentID)
- eventDate: the date-time when an event occurred, using ISO 8601-1:2019 format (2020-07-27T07:16:03.446Z).
- fieldNumber: human-readable sample ID (e.g. IAT-001)
- locationID: station name
- decimalLongitude: geographic latitude (in decimal degrees, using the spatial reference system given in geodetic datum)
- decimalLatitude: geographic longitude (in decimal degrees, using the spatial reference system given in geodeticDatum)
- maximumDepthInCentimeters: bottom depth of the core section in cm
- minimumDepthInCentimeters: upper depth of the core section in cm
- eventRemarks: comments or remarks about the event (free text field)
- gearType: the gear used to take the sample e.g. Ice corer 9 cm
- samplingDepthInMeters: depth sampled
- sampleType: description of the sample type according to a standard list
- recordedBy: name of the person who took the samples
- principalInvestigatorName: name of the person in charge of the sample collection
- principalInvestigatorEmail: email address of the person in charge of the sample collection
- principalInvestigatorInstitution: affiliated institution of the person in charge of the sample collection
- seaIceCoreLengthInCentimeters: length of ice core in centimeters
- seaIceThicknessInCentimeters: thickness of sea ice in centimeters
- seaIceFreeboardInCentimeters: freeboard of sea ice centimeters
- snowDepthInCentimeters: 3 replicates of snow depth at coring site
- totalMeltedVolumeL: The total melted volume in L recorded during sampling.
- addedFSWvolumeL: Volume in L of filtered sea water added to the sample during melting
Header name index - occurrence
- scientificName: full scientific name of the identified organism at the lowest taxonomic level that can be ascertained. The scientificName should be selected from a drop-down menu linked to the list in taxonomy sheet. (e.g Nitzschia frigida).
- identificationQualifier: A standard term (sp., spp., and indet.) to express the determiner’s doubts about the Identification.
- lifeStage: the life stage (e.g. resting spore) of the organism
- sizeGroupOperator: describes if the size group is less than or greater than a value (It = less than, gte = greater or equal to)
- sizeGroup: the size group in µm.
- organismRemark: indicates e.g. varieties, colony type
- identificationRemarks: a free text field for adding information relevant to the analysis
- identifiedBy: person who did the lab-analyse
- identifiedBy: Drop-down menu linked to list in people-sheet
- dateIdentified: Date for the analysis
- fieldsInCount: Number of fields counted in the microscope
- magnificationMicroscope: The magnification setting used during analysis. Selected from a drop-down menu linked to vocab-sheet
- maxFields: Number of fields in the entire sedimentation chamber (Related to magnification used)
- takenVolumeML: The volume taken for sedimentation in the Utermöhl chamber (the sub-sample taken for analysis)
- initialVolumeL: The total volume in L of the melted core, measured during sampling. If it wasn’t measured one can use the theoretical calculated core volume based on diameter of the core. initialVolumeL=(totalMeltedVolumeL-addedFSWvolumeL)) or teoreticalCoreVolumeL = coreAreM*(maxDepthCM-minDepthCM)
- sampleSizeValue=((fieldsInCount/maxFields)(takenVolumeML/conversionMLtoL))(dilutionFactorFormaldehyde*dilutionFactorFSW)), dilutionFactorFormaldehyde = 0.95, dilutionFactorFSW=
- sampleSizeUnit: liter (l)
- organismQuantity: the quantity of the organism per volume water in the environment (organismQuantity = individualCount/sampleSizeValue)
- organismQuantityType: cells/l
- cellsPerM2: The quantity (number of cells) of the organism per area (m2). cellsPerM2 = ((individualCount/(sampleSizeValue/initialVolumeL))/coreAreaM
Funding:
The Nansen Legacy is funded by the Research Council of Norway and the Norwegian Ministry of Education and Research. They provide 50% of the budget while the participating institutions contribute 50% in-kind. The total budget for the Nansen Legacy project is 740 mill. NOK.
This dataset consists of three MetOcean SVP (Surface velocity profilers, MetOcean 2014) buoys deployed on Arctic sea ice during the CIRFA 2022 cruise in western Fram Strait (see Figure 1). At the time of the deployment the sea ice was stationary (fast ice) due to connection to grounded icebergs. Later (June 5, 2022, for SVP #1; June 20, 2022, for SVP #2 and SVP #3) the fast ice disconnected and started drifting. Each SVP includes a GPS, air pressure and temperature sensors connected to an Iridium modem and mounted inside a waterproof ruggedized buoy.
Data are time series and include time, latitude, longitude, air temperature inside buoy (°C), air pressure (mbar), pressure tendency (mbar), and battery voltage (V) for each of the three buoys after they were deployed (see Table 1). The measurement interval was initially 60 minutes, then changed in July 2022 to 30 minutes, later in November 2022 changed to one reading per 24 hours or 48 hours (see Table 2). The time series ended when the buoys became stationary (75.1°N for SVP #1, Sep 26, 2022; 65.8°N for SVP #2, Oct 30, 2022) or reached positions further south than 52.3°N for SVP #3 (Jan 17, 2023) / reaching 58.1°N f (Mar 29, 2023).
The average snow depth upon installation was 29 cm for SVP #1 site, 26 cm for SVP #2 site, and 12 cm for SVP #3 site. Temperature might be biased because of solar radiation; the sensor is neither ventilated nor placed in a radiation shield. SVP #1 IMEI 300234064770040; SVP #2 IMEI 300234064772040; SVP #3 IMEI 300234064776030.
SUDARCO, The Fram Strait Arctic Outflow Observatory, Arctic PASSION, Atlantic-Arctic Distributed Biological Observatory (A-DBO)
Last metadata update: 2023-12-04T17:11:12Z
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Abstract:
Conductivity-Temperature-Depth (CTD) profiles from Norwegian Polar Institute cruise AO-I-2023 to the Fram Strait. The dataset includes profiles of sensor temperature, conductivity, dissolved oxygen, chlorophyll fluorescence, coloured dissolved organic matter fluorescence, beam attenuation, and calculated practical salinity (EOS-80). Profile data are from down casts only and made available in a vertical resolution of 1 decibar (i.e. averaged into 1-decibar bins). The dataset also includes laboratory measurements of salinity and chlorophyll a from Niskin bottle samples. Laboratory results for several core parameters are to be added successively. The data are contained in a single, self-documenting netCDF file. Profile data are organised in arrays with one column per cast and one row per depth bin (pressure bin). Bottle data are organised in arrays with one column per cast and one row per Niskin bottle. One-dimensional metadata (such as time and position) are organised as a single row with one column per cast. Two-dimensional metadata (such as sample number) relate to Niskin bottle data and are organised in arrays with one column per cast and one row per Niskin bottle. All variables have the same number of columns, equal to the total number of CTD casts. For full information on the sampling and processing routines, please refer to the AO-I-2023 cruise report (https://hdl.handle.net/11250/3089166) and the CTD post-cruise processing report (included as file here).
Conductivity-Temperature-Depth (CTD) profiles from Norwegian Polar Institute cruise AO-2022 to the Nansen and Amundsen Basins of the Arctic Ocean. The dataset includes profiles of temperature, conductivity, dissolved oxygen and coloured dissolved organic matter fluorescence (CDOM) and laboratory measurements of salinity, dissolved oxygen, chlorophyll and CDOM from Niskin bottle samples.
Quality
Please refer to the AO-2022 cruise report for full information. Profiles were collected with either the primary (moonpool) or auxiliary (over-the-side) SBE911+ CTD system. Temperature profiles were measured using SBE 03 temperature sensors SN 6498 (primary CTD system, primary sensor) & SN 2400 (auxiliary CTD system, primary sensor). Conductivity profiles were measured using SBE 04 conductivity sensors SN 4726 (primary CTD system, primary sensor) & SN 3447 (auxiliary CTD system, primary sensor). Salinity profiles were calculated from temperature and salinity profiles. Dissolved oxygen concentration profiles were measured with SBE43 sensor SN 3648 (primary CTD system, secondary sensor). CDOM was measured with WETLabs CDOM fluorometer SN FLCDRTD-1930 (casts <= 134) & SN FLCDRTD-4531 (casts >= 135) (Primary System, single sensor). Laboratory salinity from Niskin bottle samples was determined using Guildline Portasal SN 70166, standardised with OSIL P-series standard seawater before & after every set of 24 measurements. Samples of dissolved oxygen from Niskin bottles samples were measured by automated Winkler titration using a potentiometric electrode relative to NPI internal standard “NPI-OXY-01” which was run before each batch of 48 samples. Triplicate samples for Winkler titration were drawn from each Niskin bottle sampled.
Profile data is from down casts only and made available in 1 decibar bins. Spurious data collected during the surface soak and/or passage though the moonpool shaft were removed before binning. Parameters measured from niskin bottle samples are discreet measurements.
The data are in a single, self-documented netCDF file. Profile data are organised in tables with one column per cast and one row per depth bin. Bottle data are organised in tables with one column per cast and one row per niskin bottle. 1-dimensional metadata (such as time and position) are organised as a single row with one column per cast. 2-dimensional metadata relate to niskin bottle data (such as sample numbers) and are organised in tables with one column per cast and one row per niskin bottle. All variables have the same number of columns, equal to the total number of CTD casts.
The data has been collected during the Nansen Legacy Joint Cruise 3 (JC3), 19th February – 11th March 2022 on the research vessel RV Kronprins Haakon (cruise number 2022702), along a transect from 76N to 82N east of Svalbard. The dataset contains mesozooplankton occurrence. It has been sampled using a MultiNet Midi at 5 distinct depths. Small mesozooplankton were collected with a mesh-size 64 µm and large mesozooplankton were collected with a mesh-size 180 µm. All specimens are identified to the lowest taxonomical level and the occurrence is given for a specific species and stage or size group as ind/m3.
Sampling method:
The sampling covers a transect from the central Barents Sea (76N) to the Arctic Ocean (82N) east of Svalbard, including 7 stations (P1 to P7). Each sampling event includes 5 distinct depth layers The depth intervals were from the bottom-200, 200-100, 100-50, 50-20 and 20-0 m. At the deep stations, the sampling depths were from 1000-600, 600-200, 200-50, 50-20 and 20-0 m Zooplankton has been collected using a Multinet Midi (HydroBios, opening: 0.25m2, net length: 250 cm). Small mesozooplankton were collected with a mesh-size 64 µm and large mesozooplankton were collected with a mesh-size 180 µm. All samples were preserved in 4 % formaldehyde free from acid.
PLEASE NOTE: THIS DATASET CONTAINS TWO COMPLETE DATASETS OF ZOOPLANKTON: ONE FOR SMALL MESOZOOPLANKTON (APPROX BODY SIZE BELOW 2 MM) COLLECTED WITH MULTINET 64 µM AND ONE FOR LARGE MESOZOOPLANKTON (APPROX BODY SIZE ABOVE 2 MM) COLLECTED WITH MULTINET 180 µM MESH SIZE. THE INFO ABOUT WHICH NET IS USED CAN BE FOUND IN gearType in extendedMeasurment andFacts USE EITHER 64 UM OR 180 UM DEPENDING ON WHETHER THE FOCUS IS SMALL OR LARGE MESOZOOPLANKTON
Analyse method:
All samples have been analysed at Institute of Oceanology of the Polish Academy of Sciences (IOPAN). The organisms were identified and counted under a stereomicroscope equipped with an ocular micrometer, according to standard procedures (Harris et al. 2000). Small-sized zooplankters (most of Copepoda, juvenile stages of Pteropoda, Euphausiacea, Ostracoda, Amphipoda and Chaetognatha) were identified and counted in sub-samples obtained from the fixed sample volume by automatic pipette (approximately 500 individuals). Large zooplankters (big Copepoda, Pteropoda, Euphausiacea, Ostracoda, Amphipoda, Decapoda, Appendicularia, Chaetognatha, and Pisces larvae) were sorted out and identified from the whole sample. Representatives of Calanus spp. were identified at the species level based on morphology and prosome lengths of individual copepodid stages (Kwasniewski et al. 2003).
Data structure:
The data is following Darwin Core nomenclature as far as possible but also include variables that aren’t supported by Darwin Core. All information about the sampling such as eventDate, latitude, longitude, depts etc is located in event file while the result such as scientificName, lifeStage, occurrence etc. are found in the occurrence file
Header name index - events
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expedition: cruise number for R/V Kronprins Haakon
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eventID: UUID for the sample
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parentID: UUID for the gear deployment (each MultiNet deployment has a unique parentID)
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eventDate: the date-time when an event occurred, using ISO 8601-1:2019 format (2020-07-27T07:16:03.446Z).
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fieldNumber: human-readable sample ID (e.g. ZOT-001)
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locationID: station name
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decimalLongitude: geographic latitude (in decimal degrees, using the spatial reference system given in geodetic datum)
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decimalLatitude: geographic longitude (in decimal degrees, using the spatial reference system given in geodeticDatum)
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bottomDepthInMeters: bottom depth in meters
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eventRemarks: comments or remarks about the event (free text field)
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gearType: the gear used to take the sample e.g. MultiNet 200 µm
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maximumDepthInMeters: bottom depth of the sampled layer
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minimumDepthInMeters: top depth of the sampled layer
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sampleType: description of the sample type according to a standard list
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fieldSplit: info about whether the sample is splitted. If the sample was split in 2 then fieldSplit = 2
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flowmeterStart: only recorded if a flowmeter is used
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flowmeterStop: only recorded if a flowmeter is used
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initialSampleVolume: The volume of water filtered through the plankton net. The initial sample volume can be calculated in three ways and should always divided by fieldSplit if the sample is split.
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theoreticalSampleVolume: Calculated based on sample layer thickness and net opening area (initialSampleVolume = netOpeningArea * (maximumDepthInMeters – minimumDepthInMeters)) Bongonet opening area: 3.14*(0.3)^2=0.2826 m2 WP2 opening area: 3.14*(0.285)^2 = 0.2550 m2 Multinet Midi opening area: 0.25 m2
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flowmeterSampleVolume: Calculated based on flow-meter readings (initialSampleVolume= (flowmeterStart- flowmeterStop )*( flowmeter pitch = meters/revolution )*netOpeningArea)
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regressionMultiNetVolume: Calculated based on regression for MultiNet samples (initialSampleVolume = -1.2681+(0.3298*(maximumDepthInMeter – minimumDepthInMeter))
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initialVolumeMethod: description of which of the three methods were used to calculate the initialSampleSizeValue
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recordedBy: name of the person who took the samples
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principalInvestigatorName: name of the person in charge of the sample collection
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principalInvestigatorEmail: email address of the person in charge of the sample collection
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principalInvestigatorInstitution: affiliated institution of the person in charge of the sample collection
Header name index - occurrence
- analysedFraction: fraction of the sampled volume that is examined for organism counted
- individualCount: the number of individuals present in the analysed volume (see extra information below)
- scientificName: full scientific name of the identified organism at the lowest taxonomic level that can be ascertained. The scientificName should be selected from a drop-down menu linked to the list in taxonomy sheet. (e.g Calanus finmarchicus).
- identificationQualifier: A standard term (sp., spp., and indet.) to express the determiner’s doubts about the Identification.
- lifeStage: the age class, life stage, or life form/morph of the organism.
- sizeGroupOperator: describes if the size group is less than or greater than a value (It = less than, gte = greater or equal to)
- sizeGroup: the size group in mm.
- organismRemark: indicates whether it is mesozooplankton, macrozooplankton, rare species
- identificationRemarks: a free text field for adding information relevant to the analysis
- identifiedBy: person who did the lab-analyse
- sampleSizeValue: the sample volume used to calculate the organismQuantity (sampleSizeValue 0 initialSampleVolume *analysedFraction)
- sampleSizeUnit: m3
- organismQuantity: the quantity of the organism per volume water in the environment (organismQuantity = individualCount/sampleSizeValue)
- organismQuantityType: ind/m3
Additional information for some of the fields
individualCount: The number of (all) organisms found in the sample examined
- for “mesozooplankton”, the number of mesozooplankton (medium size zooplankton organisms) encountered in all sub-samples
- for “macrozooplankton”, the number of macrozooplankton (large size zooplankton organisms, total length > 5 mm) encountered, identified in the entire sample
- for “rare” zooplankton, we only enter information about the finding of “rare” zooplankton in the database template, and its absolute number (“organismQuantity”) is not estimated
Funding:
The Nansen Legacy is funded by the Research Council of Norway and the Norwegian Ministry of Education and Research. They provide 50% of the budget while the participating institutions contribute 50% in-kind. The total budget for the Nansen Legacy project is 740 mill. NOK.
Arctic Challenge for Sustainability, The Arctic Challenge for Sustainability II
Last metadata update: 2022-12-15T00:00:00Z
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Abstract:
Plant phenology timings, such as spring green-up and autumn senescence, are essential state information characterizing biological responses and terrestrial carbon cycles. Current efforts for the in-situ reflectance measurements are not enough to obtain the exact interpretation of how seasonal spectral signature responds to phenological stages in boreal evergreen needleleaf forests. This data set shows the in situ continuous measurements of spectral reflectance in a boreal forest in interior Alaska. We deployed two field-based spectroradiometer systems in an open black spruce forest. These two spectroradiometer systems were used to obtain canopy scale (overstory + understory) and understory reflectances. The data set includes the overstory and understory incoming and reflected hemispherical spectral irradiance data (Level 1), and spectral reflectance computed by the in- and out-going spectral data (Level 2). Because the reflected hemispherical irradiance contains the reflection from tower structure for overstory measurements. The further reflectance correction was applied for the measurements at the tower top level (Level 3).
This repository includes the datasets of meteorological profiles obtained by a drone over the Sea of Okhotsk during the cruise of Patrol Vessel Soya in February 2022. The data was used in a paper entitled "Wind speed measurement by an inexpensive and lightweight thermal anemometer on a small UAV" by J. Inoue and K. Sato.