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
ADC/MET (NO) - weather stations have not been updated for a while, update in progress
In addition to the data centres listed above, work is in progress to harvest from SIOS partners NIVA (NO), KOPRI (KR) and NCPOR (IN).
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.
Ny-Ålesund research data
The Ny-Ålesund Science Managers Committee (NySMAC) has requested a dedicated collection for data collected in and around Ny-Ålesund. This is available through this link. The filtering of information is however yet not fully finished so it contain some datasets that are larger than the specified area from NySMAC.
Brief user guide
Outline of the data portal search interface.
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.
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Time dimensions: 11.11.2022
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13016 datasets found. Showing datasets 1 - 15 on page 1 of 868 pages.
Institutions: British Antarctic Survey, British Antarctic Survey, NERC EDS UK Polar Data Centre
Last metadata update: 2022-05-19T00:00:00Z
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Abstract:
This dataset comprises summary statistics regarding historical and projected Southern Hemisphere total sea ice area (SIA) and 21st century global temperature change (dTAS), evaluated from the multi-model ensembles contributing to CMIP5 and CMIP6 (Coupled Model Intercomparison Project phases 5 and 6). The metrics are evaluated for two climatological periods (1979-2014 and 2081-2100) from a number of CMIP experiments; historical, and ScenarioMIP or RCP runs. These metrics were calculated to calculate projections of future Antarctic sea ice loss, and drivers of ensemble spread in this variable, for Holmes et al. (2022) "Antarctic sea ice projections constrained by historical ice cover and future global temperature change".
Funding was provided by the British Antarctic Survey Polar Science for Planet Earth Programme and under NERC large grant NE/N01829X/1
These documents describe the format developed for the annotation and storage of image data targeted for fish detection during the EVERYFISH (https://doi.org/10.3030/101059892) project. It is based, expands, and preserves full compatibility with the COCO (Common Objects in COntext) format, using the same attribute names defined in COCO, and provides additional information about fisheries-related attributes to capture domain relevant information required for fisheries monitoring. This format can also record detailed information for each individual fish, including fish length, weight, and occlusion type. To further support interoperability, a series of controlled vocabularies and standard formats are assigned to most of the attributes.
“EVERYFISH-COCO format specifications – v1.0.pdf” is the master document that describes the EVERYFISH-COCO format and file structure. “FAO-Alpha3.csv” and “RECO.csv” are ancillary files that contain December 2025 frozen copies of, respectively, FAO Alpha3 codes for fish and seafood types, and ICES RECO fisheries codes. Links to these codes are can be found in the master document. Here they are provided in separate files due to their length.
These documents describe the format developed for the annotation and storage of image data targeted for fish detection during the EVERYFISH (https://doi.org/10.3030/101059892) project. It is based, expands, and preserves full compatibility with the COCO (Common Objects in COntext) format, using the same attribute names defined in COCO, and provides additional information about fisheries-related attributes to capture domain relevant information required for fisheries monitoring. This format can also record detailed information for each individual fish, including fish length, weight, and occlusion type. To further support interoperability, a series of controlled vocabularies and standard formats are assigned to most of the attributes.
“EVERYFISH-COCO format specifications – v1.0.pdf” is the master document that describes the EVERYFISH-COCO format and file structure. “FAO-Alpha3.csv” and “RECO.csv” are ancillary files that contain December 2025 frozen copies of, respectively, FAO Alpha3 codes for fish and seafood types, and ICES RECO fisheries codes. Links to these codes are can be found in the master document. Here they are provided in separate files due to their length.
Continuous surface water pCO2 and fCO2 underway data was collected (at 4m) in 2025 in the Arctic Ocean (Nansen Basin), and soutwest-north of Svalbard (ICOS, GoNorth) in both ice-free and ice-covered Arctic waters using the R/V Kronprins Haakon from 27 Nov to 16 Dec in 2025. Data on atmospheric pCO2 is included. Ancillary data of surface water temperature and salinity and atmospheric data are included. ICOS-QuinCE processing program is used for quality control. Cruise ID: 2025007014 Kronprins Haakon. SOCAT dataset: 58US20251127 (Fransson, A., Czyz C., Chierici, M. 2025) Data published: Fransson, A., Czyz C., Chierici, M. (2026). Surface water pCO2 and fCO2 underway data in 2025 in the Arctic Ocean (Nansen Basin) and southwest-north of Svalbard (ICOS, GoNorth) from R/V Kronprins Haakon [Data set]. Norwegian Polar Institute. Method: General Oceanics 8050 continuous pCO2 measurements described in Pierrot et al (2006), CO2 equilibration method with a LiCOR-7000 infrared detector are used installed on the R/V Kronprins Haakon, Norway. The system used 3 standard CO2 gases for calibration and a zero gas. Ancillary data of surface water salinity, temperature, air pressure, temperature, air humidity were used for the calculations of pCO2 and fCO2 from mole fraction xCO2. Method is described in Ogundare et al. (2021), https://doi.org/10.3389/fmars.2020.614263 and similar method in the Arctic Ocean is described in Fransson et al (2017), doi: 10.1002/2016JC012478.
Continuous surface water pCO2 and fCO2 underway in 2025 was collected (at 4m) in the southeast-north of Svalbard, Arctic Ocean/Nansen Basin (ICOS, EXTREME) in both ice-free and ice-covered Arctic waters using the R/V Kronprins Haakon from 11 to 26 Nov in 2025. Data on atmospheric pCO2 is included. Ancillary data of surface water temperature and salinity and atmospheric data are included. Cruise ID: 2025007013 Kronprins Haakon. ICOS-QuinCE processing program is used for quality control. SOCAT dataset: Continuous surface water CO2 underway in 2025 was collected (at 4m) in the Arctic Ocean (Nansen Basin), and soutwest-north of Svalbard (ICOS) in both ice-free and ice-covered Arctic waters using the R/V Kronprins Haakon from 27 Nov to 16 Dec in 2025. Data on atmospheric pCO2 is included. Ancillary data of surface water temperature and salinity and atmospheric data are included. ICOS-QuinCE processing program is used for quality control. SOCAT dataset: 58US20251111 (Fransson, A., Czyz C., Chierici, M. 2025) Data published: Fransson, A., Czyz C., Chierici, M. (2026). Surface water pCO2 and fCO2 underway data in Nov 2025 in the southeast-north of Svalbard, Arctic Ocean (ICOS) from R/V Kronprins Haakon [Data set]. Norwegian Polar Institute. https://doi.org/10.21334/npolar.2026.949a3cd1 Method: General Oceanics 8050 continuous pCO2 measurements described in Pierrot et al (2006), CO2 equilibration method with a LiCOR-7000 infrared detector are used installed on the RV Kronprins Haakon, Norway. The system used 3 standard CO2 gases for calibration and a zero gas. Ancillary data of surface water salinity, temperature, air pressure, temperature, air humidity were used for the calculations of pCO2 and fCO2 from mole fraction xCO2. Method is described in Ogundare et al. (2021), https://doi.org/10.3389/fmars.2020.614263 and similar method in the Arctic Ocean is described in Fransson et al (2017), doi: 10.1002/2016JC012478. (Fransson, A., Czyz C., Chierici, M. 2025) Data published: Fransson, A., Czyz C., Chierici, M. (2026). Surface water pCO2 and fCO2 underway data in 2025 in the Arctic Ocean (Nansen Basin) and southwest-north of Svalbard (ICOS, GoNorth) from RV Kronprins Haakon [Data set]. Norwegian Polar Institute. https://doi.org/10.21334/npolar.2026.949a3cd1 Method: General Oceanics 8050 continuous pCO2 measurements described in Pierrot et al (2006), CO2 equilibration method with a LiCOR-7000 infrared detector are used installed on the RV Kronprins Haakon, Norway. The system used 3 standard CO2 gases for calibration and a zero gas. Ancillary data of surface water salinity, temperature, air pressure, temperature, air humidity were used for the calculations of pCO2 and fCO2 from mole fraction xCO2. Method is described in Ogundare et al. (2021), https://doi.org/10.3389/fmars.2020.614263 and similar method in the Arctic Ocean is described in Fransson et al (2017), doi: 10.1002/2016JC012478.
Continuous surface water pCO2 and fCO2 underway data was collected in 2025 (at 4m) in the Arctic Ocean (Nansen Basin), north and northeast of Svalbard (A-TWAIN 2025) in both ice-free and ice-covered Arctic waters using the R/V Kronprins Haakon from 22 Oct to 10 Nov in 2025. Data on atmospheric pCO2 is included. Ancillary data of surface water temperature and salinity and atmospheric data are included. Cruise ID: 2025007012 Kronprins Haakon. ICOS-QuinCE processing program is used for quality control. SOCAT dataset: 58US20251022 (Fransson, A., Czyz C., Chierici, M. 2025). Data published: Fransson, A., Czyz C., Chierici, M. (2026). Surface water pCO2 and fCO2 underway data in 2025 in the Arctic Ocean (Nansen Basin), north of Svalbard (A-TWAIN 2025) from R/V Kronprins Haakon [Data set]. Norwegian Polar Institute. Method: General Oceanics 8050 continuous pCO2 measurements described in Pierrot et al (2006), CO2 equilibration method with a LiCOR-7000 infrared detector are used installed on the RV Kronprins Haakon, Norway. The system used 3 standard CO2 gases for calibration and a zero gas. Ancillary data of surface water salinity, temperature, air pressure, temperature, air humidity were used for the calculations of pCO2 and fCO2 from mole fraction xCO2. Method is described in Ogundare et al. (2021), https://doi.org/10.3389/fmars.2020.614263 and similar method in the Arctic Ocean is described in Fransson et al (2017), doi: 10.1002/2016JC012478.
This data set contains the following parameters: snow fraction (on the ground), viewable snow fraction, snow cover duration, snow grain size, dust concentration, snow albedo (on horizontal surface), snow albedo (on sloped surface), and radiative forcing. A quality layer tracks the days since the last clear sky observation. All variables are spatially and temporally complete after interpolation.<br/><br/>
The SPIReS SMA model considers three spectral endmembers: snow, shade, and a snow-free background reflectance, which is identified for each MODIS pixel as the minimum MOD09GA reflectance measured typically between 1 August and 30 September for a given year in the Northern Hemisphere. Dust concentration is solved for simultaneously with fractional snow covered area (fSCA) and snow grain size during the spectral unmixing process. Snow albedo are derived using a lookup table that incorporates snow grain size, dust concentration, and surface illumination (<a href="https://www.sciencedirect.com/science/article/pii/S0034425725001464?via%3Dihub#bb0025">Bair et al., 2019</a>). After the fSCA, grain size, and dust concentration are determined, these properties are filled, smoothed, and adjusted for canopy gap size and satellite viewing angles, shade, and permanent ice. SPIReS radiative forcing is derived using a lookup table that incorporates dust concentration and clear sky incoming solar irradiance. Data are available from 01 October 2025 to present. These data are provided in the netCDF-4 format with a Sinusoidal projection and are currently available for the western United States (MODIS tiles h08v04, h08v05, h09v04, h09v05, h10v04) and New Zealand. Additional tiles in western North America and other regions will be added over time. Note that these data are used in the <a href="https://nsidc.org/snow-today/snow-viewer">Snow Today Daily Snow Viewer</a>. For data prior to 01 October 2025, please see the historical dataset (<a href="https://doi.org/10.7265/a3vr-c014">Rittger et al., 2025</a>).<br/><br/>
Data can be accessed via ftp://dtn.rc.colorado.edu/shares/snow-today/gridded_data/SPIRES_NRT_V02
License : These data are freely, openly, and fully available to use without restrictions, provided that you cite the data according to the recommended citation at https://nsidc.org/about/data-use-and-copyright.
Continuous surface water CO2 underway in 2025 was collected (at 4m) in the soutwest of Svalbard and Greenland-Norwegian Sea (ICOS, Mareano) in mostly ice-free waters using the R/V Kronprins Haakon from 23 Sep to 20 Oct in 2025. Data on atmospheric pCO2 is included. Ancillary data of surface water temperature and salinity and atmospheric data are included. ICOS-QuinCE processing program is used for quality control. Cruise ID: 2025007011 Kronprins Haakon. SOCAT dataset: 58US20250923 (Fransson, A., Czyz C., Chierici, M. 2025) Data published: Fransson, A., Czyz C., Chierici, M. (2026). Surface water pCO2 and fCO2 underway data in Sept to Oct 2025 in the southwest of Svalbard and Greenland-Norwegian Sea (ICOS) from R/V Kronprins Haakon [Data set]. Norwegian Polar Institute. Method: General Oceanics 8050 continuous pCO2 measurements described in Pierrot et al (2006), CO2 equilibration method with a LiCOR-7000 infrared detector are used installed on the R/V Kronprins Haakon, Norway. The system used 3 standard CO2 gases for calibration and a zero gas. Ancillary data of surface water salinity, temperature, air pressure, temperature, air humidity were used for the calculations of pCO2 and fCO2 from mole fraction xCO2. Method is described in Ogundare et al. (2021), https://doi.org/10.3389/fmars.2020.614263 and similar method in the Arctic Ocean is described in Fransson et al (2017), doi: 10.1002/2016JC012478.
Multibeam data were collected during RV Polarstern cruise PS150 (2025-09-04 to 2025-10-24). Multibeam sonar system was Atlas Hydrographic Hydrosweep DS 3 multibeam echo sounder. Data are processed with Caris HIPS, including sound velocity correction with SV data from CTDs and World Ocean Atlas 23 (https://www.ncei.noaa.gov/archive/accession/NCEI-WOA23), tidal correction with TPXO9_atlas_v5 (https://www.tpxo.net), and manual cleaning. The soundings are combined in daily files, the format is XYZ ASCII (<Lon> <Lat> <Depth in meters, positive up, relative to mean sea level>). Additional grids have been computed with depth dependent cell size to visualize the data. These grids are not meant for scientific analysis or navigation, but for overview purposes only.
Raw data acquired by position sensors on board RV Polarstern during expedition PS150 was processed to receive a validated master track which can be used as reference of further expedition data. During PS150 two Trimble Marine R750 GPS receivers and the iXBlue HYDRINS hydrographic survey inertial navigation system were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.
Raw data acquired by position sensors on board RV Polarstern during expedition PS150 was processed to receive a validated master track which can be used as reference of further expedition data. During PS150 two Trimble Marine R750 GPS receivers and the iXBlue HYDRINS hydrographic survey inertial navigation system were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.
A model simulating climate index (Arctic amplification) fluctuations associated with sea ice based on the relationship between sea ice and environmental factors
This benthos data set from the Barents Sea 2025 covers 174 trawl stations and taxonomic identified by 2 shifts (one person) on each of the three involved research vessels (R/V) and made up eight different taxonomists/technicians in 2025. This dataset therefore represents a non-standardized dataset between stations because trawl distance varies between stations, and the skills and qualities vary among the taxonomists/technicians involved.
In the Barents Sea, three R/Vs: G.O. Sars (GS), Johan Hjort (JH) and Helmer Hanssen (HH) used a Campelen 1800 bottom trawl to harvest fish and invertebrate benthos from the seabed. In addition, the trawl also harvested organisms entering the trawl when it is lowered or heaved. R/V “GS” operated in the period 01 September – 26 September 2025, R/V “JH” operated 28 August – 03 October 2025 while “HH” operated in the period 19 September – 04 October 2025.
The Campelen bottom trawl was standardized across the three R/Vs by a rigging of a rock-hopper ground gear and by being towed on double warps. The mesh size was 80 mm (stretched) in the front and 16–22 mm in the cod end. The horizontal opening was 11.7 m, and the vertical opening 4 –5 m. The trawl configuration and bottom contact was monitored remotely by SCANMAR trawl sensors.
The standard procedure for all three research vessels is to tow after the trawl had contacted the bottom with towing speed of 3 knots (this varied from 2.7 - 3.6 knots), equivalent to a towing distance of approximately 0.75 nautical miles (this varied from 0,46-1.1 nautical miles).
The trawl catch was sorted into fish and invertebrate benthos onboard the three R/Vs. In this dataset we present the invertebrate benthos (hereafter called benthos) not the fish catch, and all data registrations represent a single trawl, hence not standardized across trawls or research vessels.
Each benthos taxon is identified to closest possible taxa from the best skills of the taxonomist/technician. The use of standardized taxonomic literature onboard is introduced with annual three-day obligatory coursing for the involved taxonomists/technicians.
After identification the taxa are counted and weighed (i.e., biomass is wet mass) onboard the ship. The count of individuals per solitary species/taxa in the trawl (Number of ind._Total_trawl) and the wet-weight of the individuals per species/taxa in the trawl (Biomass (g wetweight)_Total_trawl) were recorded (colonial species were only wet-weight).