The SIOS Data Management Service (SDMS) integrates information from SIOS partner data repositories into a unified virtual data centre, the SIOS Data Access Portal, allowing users to search for and access data regardless of where they are archived. Providers and users have to commit to the SIOS data policy.
The current focus is on dataset discovery through standardised metadata, and retrieval, visualisation & transformation of data. Ultimately, the Data Management Service works towards integration of datasets which requires a high level of interoperability at the data level.
SDMS currently harvests information on SIOS relevant datasets from a number of data centres (see below), some hosted by SIOS partners and some not. Data centres hosted by SIOS partners work to harmonise access to the data allowing integrated visualisation etc for the relevant datasets.
Data centres SDMS is harvesting information from.
SIOS partner data centres
Other
AWI (DE)
British Antarctic Survey
CNR (IT) - temporarily disabled due to server issues
National Snow and Ice Data Center
IGPAS (PL)
IMR (NO)
IOPAN (PL)
MET (NO) - weather stations have not been updated for a while, update in progress
NERSC (NO)
NILU (NO)
NIPR (JP)
NPI (NO)
UiS (PL)
Citation of data and service
If you use data retrieved through this portal, please acknowledge our funding source: Research Council of Norway, project number 291644, Svalbard Integrated Arctic Earth Observing System – Knowledge Centre, operational phase.
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)
SIOS recommends all partner data repositories to mint Digital Object Identifiers (DOI) on all datasets. The information required to properly cite a dataset is normally provided in the discovery metadata the datasets.
SIOS Core Data
In order to find SIOS Core Data please use the searchable item marked "Collection" on the right hand side of the map and select "SIOSCD". Quick access to SIOS Core Data is provided here.
Nansen Legacy Data
The Nansen Legacy project is using the SIOS Data Management system as the data portal. Quick access to all Nansen Legacy related datasets is available here.
Brief user guide
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 from the drop down above the text field and prefixing words with '+' to require their presence and '-' to require their non presence.
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.
Institutions: UiT The Arctic University of Norway, UiT The Arctic University of Norway, UiT The Arctic University of Norway, Norwegain Infrastructure for Research Data (NIRD)
This dataset includes taxonomy and daily vertical export rates of planktonic protist cells, planktonic protist carbon (PPC), and zooplankton abundance and biomass fluxes. Samples were collected from long-term sediment traps deployed on moorings north and northeast of Svalbard from October 2017 to October 2018, as part of the Nansen Legacy (UiT, NO) and Arctic PRIZE (SAMS, UK).
This dataset includes concentrations of Particulate Organic Carbon (POC) and Particulate Organic Nitrogen (PON) from the sea water and sea ice. Samples were collected in August 2019 as part of cruise 2019706, Q3, in the northern Barents Sea as part of the Nansen Legacy project. Sea water was sampled at eight different stations using Niskin bottles attached to a rosette onboard R/V Kronprins Haakon. At three of these stations we also conducted sea ice work and sampled sea ice cores (gear: Kovacs ice corer 9cm), under-ice water (gear: Niskin bottle) from a hole in the ice and water from meltponds (gear: bucket) for POC/PON analysis. For sea water/meltpond water triplicate subsamples (500–2000 mL) were filtered on pre-combusted Whatman GF/F filters, the limited volume of melted sea ice allowed only one but occasionally triplicates subsamples (500-1000 mL). Filters were stored at −20 °C, and analyzed within 1 years on a Leeman Lab CHN Analyzer according to the procedures described by Reigstad et al. (2008). Presented are averaged POC and PON values (in mg m-3), standard deviations and the C:N ratio. PON values < 3x blank values were excluded from the dataset.
This dataset includes concentrations of Particulate Organic Carbon (POC) from the sea water, sea ice, melt pond water and brine. Samples were collected in August 2018 as part of cruise 2018707, JC1_2, in the northern Barents Sea as part of the Nansen Legacy project. Sea water was sampled at seven different stations using Niskin bottles attached to a rosette onboard R/V Kronprins Haakon. Samples from sea ice were collected at three stations (gear: Kovacs ice corer 9cm). A sample of the brine in the core holes was collected from one of these. Under-ice water (0.5m) were collected at two stations (gear: Go-Flo Water Sampler) from a hole in the ice. Samples from melt ponds were collected at four stations (five sites) using a bottle. All samples were collected on pre-combusted Whatman GF/F filters. For sea water we prepared duplicate subsamples (250-700 mL). For melted sea ice, melt pond water and brine where the volume of water was limited and/or the particle load high, the sample volume was reduced (150-500 mL) or occasionally limited to one sample. Filters were air dried and stored at room temperature until analysis on a Flash 2000 Organic Elemental Analyzer (Thermo Scientific). Presented are averaged POC values (in mg m-3). (PON data omitted due to inconsistent results). Standard errors were estimated according to Hozo et al 2005.
This dataset includes concentrations of Particulate Organic Carbon (POC) and Particulate Organic Nitrogen (PON) from the sea water and sea ice. Samples were collected in December 2019 as part of cruise 2019711, Q4, in the northern Barents Sea as part of the Nansen Legacy project. Sea water was sampled at seven different stations using Niskin bottles attached to a rosette onboard R/V Kronprins Haakon. At two of these stations we also conducted sea ice work and sampled sea ice cores (gear: Kovacs ice corer 9cm) and under-ice water (gear: Niskin bottle) from a hole in the ice for POC/PON analysis. For sea water triplicate subsamples (500–3000 mL) were filtered on pre-combusted Whatman GF/F filters, the limited volume of melted sea ice allowed only one but occasionally triplicates subsamples (500-1500 mL). Filters were stored at −20 °C, and analyzed within 1 years on a Leeman Lab CHN Analyzer according to the procedures described by Reigstad et al. (2008). Presented are averaged POC and PON values (in mg m-3), standard deviations and the C:N ratio. PON values < 3x blank values were excluded from the dataset.
This dataset includes concentrations of Particulate Organic Carbon (POC) and Particulate Organic Nitrogen (PON) from the sea water and sea ice. Samples were collected in February and March 2022 as part of cruise 2022702, JC3, in the northern Barents Sea as part of the Nansen Legacy project. Sea water was sampled at seven different stations using Niskin bottles attached to a rosette onboard R/V Kronprins Haakon. At three of these stations we also conducted sea ice work and sampled sea ice cores (gear: Kovacs ice corer 9cm) and under-ice water (gear: Niskin bottle) for POC/PON analysis. For sea water water triplicate subsamples (1000–2000 mL) were filtered on pre-combusted Whatman GF/F filters, the limited volume of melted sea ice allowed only one but occasionally triplicates subsamples (250-2000 mL). Filters were stored at −20 °C, and analyzed within 1 years on a Leeman Lab CHN Analyzer according to the procedures described by Reigstad et al. (2008). Presented are averaged POC and PON values (in mg m-3), standard deviations and the C:N ratio. PON values < 3x blank values were excluded from the dataset.
This dataset includes concentrations of Particulate Organic Carbon (POC) and Particulate Organic Nitrogen (PON) from the sea water and sea ice. Samples were collected in August and September 2021 as part of cruise 2021710, JC2-2, in the northern Barents Sea and the Arctic basin as part of the Nansen Legacy project. Sea water was sampled at seven different stations using Niskin bottles attached to a rosette onboard R/V Kronprins Haakon. At three of these stations we also conducted sea ice work and sampled sea ice cores (gear: Kovacs ice corer 9cm) and under-ice water (gear: Niskin bottle) from a hole in the ice and water from meltponds (gear: bucket) for POC/PON analysis. For sea water water triplicate subsamples (1000–9500 mL) were filtered on pre-combusted Whatman GF/F filters, the limited volume of melted sea ice allowed only one but occasionally triplicates subsamples (290-2350 mL). Filters were stored at −20 °C, and analyzed within 1 years on a Leeman Lab CHN Analyzer according to the procedures described by Reigstad et al. (2008). Presented are averaged POC and PON values (in mg m-3), standard deviations and the C:N ratio. PON values < 3x blank values were excluded from the dataset.
Institutions: UiT The Arctic University of Norway, UiT The Arctic University of Norway, UiT The Arctic University of Norway, Norwegain Infrastructure for Research Data (NIRD)
This dataset includes daily vertical export rates (mg/m2/d) of Total Particulate Matter (TPM), Particulate Inorganic Matter (PIM), Particulate Organic Matter (POM), Particulate Organic Carbon (POC), Particulate Nitrogen (PN), Carbon:Nitrogen ratio (C:N), chlorophyll a (chl a), phaeopigments and zooplankton fecal pellets carbon (FPC) from krill, copepods, appendicularians, pteropods and unknown pellets, from long-term sediment traps deployed on moorings north and northeast of Svalbard from October 2017 to October 2018, as part of the Nansen Legacy (UiT, NO) and Arctic PRIZE (SAMS, UK) projects.
This dataset includes concentrations of Particulate Organic Carbon (POC) and Particulate Organic Nitrogen (PON) from the sea water and sea ice. Samples were collected in April-May 2021 as part of cruise 2021704, Q2, in the northern Barents Sea as part of the Nansen Legacy project. Sea water was sampled at seven different stations using Niskin bottles attached to a rosette onboard R/V Kronprins Haakon. At three of these stations we also conducted sea ice work and sampled sea ice cores (gear: Kovacs ice corer 9cm) and under-ice water (gear: Niskin bottle) from a hole in the ice for POC/PON analysis. For sea water triplicate subsamples (500–1500 mL) were filtered on pre-combusted Whatman GF/F filters, the limited volume of melted sea ice allowed only one but occasionally triplicates subsamples (200-2000 mL). Filters were stored at −20 °C, and analyzed within 1 years on a Leeman Lab CHN Analyzer according to the procedures described by Reigstad et al. (2008). Presented are averaged POC and PON values (in mg m-3), standard deviations and the C:N ratio. PON values < 3x blank values were excluded from the dataset.
This dataset includes concentrations of Particulate Organic Carbon (POC) and Particulate Organic Nitrogen (PON) from the sea water and sea ice. Samples were collected in March 2021 as part of cruise 2021703, Q1, in the northern Barents Sea as part of the Nansen Legacy project. Sea water was sampled at seven different stations using Niskin bottles attached to a rosette onboard R/V Kronprins Haakon. At three of these stations we also conducted sea ice work and sampled sea ice cores (gear: Kovacs ice corer 9cm) and under-ice water (gear: Niskin bottle) from a hole in the ice for POC/PON analysis. For sea water triplicate subsamples (500–2000 mL) were filtered on pre-combusted Whatman GF/F filters, the limited volume of melted sea ice allowed only one but occasionally triplicates subsamples (500-1500 mL). Filters were stored at −20 °C, and analyzed within 1 years on a Leeman Lab CHN Analyzer according to the procedures described by Reigstad et al. (2008). Presented are averaged POC and PON values (in mg m-3), standard deviations and the C:N ratio. PON values < 3x blank values were excluded from the dataset.
This dataset includes concentrations of Particulate Organic Carbon (POC) and Particulate Organic Nitrogen (PON) from the sea water and sea ice. Samples were collected in April-May 2021 as part of cruise 2021704, Q2, in the northern Barents Sea as part of the Nansen Legacy project. Sea water was sampled at seven different stations using Niskin bottles attached to a rosette onboard R/V Kronprins Haakon. At three of these stations we also conducted sea ice work and sampled sea ice cores (gear: Kovacs ice corer 9cm) and under-ice water (gear: Niskin bottle) from a hole in the ice for POC/PON analysis. For sea water triplicate subsamples (500–1500 mL) were filtered on pre-combusted Whatman GF/F filters, the limited volume of melted sea ice allowed only one but occasionally triplicates subsamples (200-2000 mL). Filters were stored at −20 °C, and analyzed within 1 years on a Leeman Lab CHN Analyzer according to the procedures described by Reigstad et al. (2008). Presented are averaged POC and PON values (in mg m-3), standard deviations and the C:N ratio. PON values < 3x blank values were excluded from the dataset
Arctic ABC Development, Deep Impact, Centre for Autonomous Marine Operations and Systems (NFR grant 245929, NFR project no 300333, NFR project no 223254)
Institutions: UiT The Arctic University of Norway, UiT The Arctic University of Norway, UiT The Arctic University of Norway, UiT The Arctic University of Norway, UiT The Arctic University of Norway, UiT The Arctic University of Norway, UiT The Arctic University of Norway, Norwegain Infrastructure for Research Data (NIRD)
Last metadata update: 2022-11-15T15:30:23Z
Show more...
Abstract:
UiT The Arctic University of Norway (UiT) and the Norwegian University of Science and Technology (NTNU) established a light observatory at Kings Bay, Ny-Ålesund (Svalbard, Norway) in January 2017. The observatory consists of an array of light sensors including an all sky camera. It is located outside the settlement of Ny-Ålesund, approximately 1 km N-NW of the airport towards Brandalspynten. The array of sensors is mounted on a tripod under a transparent dome. This dataset contains the data of the hyperspectral radiometer USSIMO (In-situ Marine Optics, Perth, WA, Australia), converted to E(PAR) by the following equation: PAR is approximated as an integral of micromolespersec=(uirr/(h*c/(lambda*1e-9)))/microavo for wavelengths(lambda) in range from 400 to 700nm, where: uirr = USSIMO irradiance for wavelength equal to lambda, h=6.63e-34 [Js], c=3.00e+08 [m/s], microavo=6.022e17. The sensor is equipped with a Zeiss MMS1 UV-VIS NIR detector with National Institute of Standards and Technology, USA traceable radiometric calibration between 380 and 900 nm. This instrument is used for time-series measurement of down-welling spectral irradiance in energy Wm-2 nm-1. Spectral resolution is 10 nm (3.3 nm pixel spacing) and a cosine-corrected polytetrafluoroethylene (PTFE) light diffusor with cosine error: <3% (0 - 60°), <10% (60 - 87.5°), is fitted. The device acquired measurements with a 16 bit analogue to digital converter. It samples continuously internally. Integration time is controlled by the sensor depending on the light intensity, with a maximum of 6 seconds. Actual integration time is stored with the data in each sample. The sensor output is saved on a PC with custom software which records 30 seconds of output data every 29:30 min. The number of samples collected in that period depends on the USSIMO integration time. The sensor is equipped with a pitch and roll sensor which is used to ensure that the spectroradiometer remains in the fixed position throughout the time-series acquisition. For re-use of the data, please refer to the dataset and the original publication. This is an aggregated dataset that combines the invidual datasets into a continous timeseries. For details check out https://archive.norstore.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00039,https://archive.norstore.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00044,https://archive.norstore.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00045 and https://archive.norstore.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00046.
Institutions: UiT The Arctic University of Norway, UiT The Arctic University of Norway, UiT The Arctic University of Norway, UiT The Arctic University of Norway, UiT The Arctic University of Norway, UiT The Arctic University of Norway, UiT The Arctic University of Norway, Norwegain Infrastructure for Research Data (NIRD)
Last metadata update: 2022-11-15T15:30:23Z
Show more...
Abstract:
UiT The Arctic University of Norway (UiT) and the Norwegian University of Science and Technology (NTNU) established a light observatory at Kings Bay, Ny-Ålesund (Svalbard, Norway) in January 2017. The observatory consists of a range of light sensors including an all sky camera. It is located outside the settlement of Ny-Ålesund, approximately 1 km N-NW of the airport towards Brandalspynten. The array of sensors, including the camera, is mounted on a tripod under a transparent dome. This dataset contains the E(PAR) data derived from pictures taken during 2017 at hourly intervals by the all-sky-camera. The camera (Canon EOS 5D Mark III) is equipped with a fish-eye lens with a focal length set to 8 mm with aperture manually set to open (f/4) to ensure maximum sensitivity (Canon EF 8-15mm f/4L), providing a 180° image of the atmosphere (only possible with a full-size sensor). Both shutter speed (exposure time, ranging from 0.000125 to 30 seconds) and ISO (sensitivity, ranging from 100 at Midnight Sun period and up to 6400 during Polar Night) are set to auto. White balance manually set to “day light”. It is remotely controlled by a PC, pictures were stored in a cloud storage. Short gaps in the time series are due to power failures. In this dataset there are two large gaps: 2019-01-09 to 2019-03-08 and 2019-06-24 to 2019-09-25 caused by a crash of the controlling PC which was not monitored at that time. The equations for the picture-to-E(PAR) conversion can be found in: Johnsen et al 2021, An all-sky camera system providing high temporal resolution annual time-series of irradiance in the Arctic, Applied Optics. The pictures on which this dataset is based on can be found at . For re-use of the data, please refer to the dataset and the original publication. this is an aggregated dataset where the individual timeseries have been combined into a continous timeseries. For details on the dataset please check https://archive.norstore.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00040,https://archive.norstore.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00041,https://archive.norstore.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00042 and https://archive.norstore.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00043.
The data has been collected during the Nansen Legacy Joint Cruise 2-1 from 12 - 29 July 2021 on the research vessel RV Kronprins Haakon (cruise number 2021708), 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.
Quality
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
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)
- totalMeltedVolumeL: The total melted volume in L recorded during sampling.
- addedFSWvolumeL: Volume in L of filtered sea water added to the sample during melting.
- 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.
The data has been collected during the Nansen Legacy Seasonal Study Q2 from 27 April - 20 May 2021 on research vessel Kronprins Haakon (cruise number 2021704), 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-
Quality
Sampling method:
This dataset exist of two occurence files, ice core samples & slurp gun samples. Ice core samples: 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. Slurp gun samples: The samples were collected by divers using a slurp gun to suck up ice algae right underneath the sea ice over a swimming distance of 20 m.
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
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)
- totalMeltedVolumeL: The total melted volume in L recorded during sampling.
- addedFSWvolumeL: Volume in L of filtered sea water added to the sample during melting.
- 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.
The data has been collected during the Nansen Legacy Seasonal Study Q1 from 2 - 25 March 2021 on research vessel RV Kronprins Haakon (cruise number 2021703), 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.
Quality
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
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)
- totalMeltedVolumeL: The total melted volume in L recorded during sampling.
- addedFSWvolumeL: Volume in L of filtered sea water added to the sample during melting.
- 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.