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
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.
Institutions: DK01L, National Environmental Research Institute, NERI, P.O.Box 358, Fredriksborgvei 399, DK-4000 Roskilde, Denmark, DK01L, National Environmental Research Institute, NERI, P.O.Box 358, Fredriksborgvei 399, DK-4000 Roskilde, Denmark
Last metadata update: 2023-10-18T00:00:00Z
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Abstract:
Ground based in situ observations of high_vol_sampler at Villum Research Station, Station Nord (DK0010G). These measurements are gathered as a part of the following projects CAMP, EMEP and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: 10-2-FTOH in air, 6-2-FTOH in air, 8-2-FTOH in air, N-Et-FOSA in air, N-Et-FOSE in air, N-Me-FOSA in air, N-Me-FOSE in air
Institutions: DK01L, National Environmental Research Institute, NERI, P.O.Box 358, Fredriksborgvei 399, DK-4000 Roskilde, Denmark, DK01L, National Environmental Research Institute, NERI, P.O.Box 358, Fredriksborgvei 399, DK-4000 Roskilde, Denmark
Last metadata update: 2023-10-18T00:00:00Z
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Abstract:
Ground based in situ observations of high_vol_sampler at Villum Research Station, Station Nord (DK0010G). These measurements are gathered as a part of the following projects CAMP, EMEP and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: HCB in air (mass_concentration_of_hexachlorobenzene_in_air), PCB_101 in air (mass_concentration_of_polychlorinated_biphenyl_101_in_air), PCB_114 in air (mass_concentration_of_polychlorinated_biphenyl_114_in_air), PCB_118 in air (mass_concentration_of_polychlorinated_biphenyl_118_in_air), PCB_138 in air (mass_concentration_of_polychlorinated_biphenyl_138_in_air), PCB_153 in air (mass_concentration_of_polychlorinated_biphenyl_153_in_air), PCB_170 in air (mass_concentration_of_polychlorinated_biphenyl_170_in_air), PCB_180 in air (mass_concentration_of_polychlorinated_biphenyl_180_in_air), PCB_194 in air (mass_concentration_of_polychlorinated_biphenyl_194_in_air), PCB_206 in air (mass_concentration_of_polychlorinated_biphenyl_206_in_air), PCB_209 in air (mass_concentration_of_polychlorinated_biphenyl_209_in_air), PCB_28 in air (mass_concentration_of_polychlorinated_biphenyl_28_in_air), PCB_3 in air (mass_concentration_of_polychlorinated_biphenyl_3_in_air), PCB_52 in air (mass_concentration_of_polychlorinated_biphenyl_52_in_air), PCB_8 in air, aldrin in air (mass_concentration_of_aldrin_in_air), alpha_HCH in air (mass_concentration_of_alpha_hexachlorocyclohexane_in_air), beta_HCH in air (mass_concentration_of_beta_hexachlorocyclohexane_in_air), cis_CD in air (mass_concentration_of_cis_chlordane_in_air), cis_NO in air (mass_concentration_of_cis_nonechlor_in_air), dieldrin in air (mass_concentration_of_dieldrin_in_air), endosulfan in air (mass_concentration_of_endosulfan_in_air), endrin in air (mass_concentration_of_endrin_in_air), gamma_HCH in air (mass_concentration_of_gamma_hexachlorocyclohexane_in_air), heptachlor in air (mass_concentration_of_heptachlor_in_air), heptachlorepoxide in air (mass_concentration_of_heptachlor_epoxide_in_air), op_DDE in air (mass_concentration_of_op_dichlorodiphenyldichloroethylene_in_air), op_DDT in air (mass_concentration_of_op_dichlorodiphenyltrichloroethane_in_air), pp_DDD in air (mass_concentration_of_pp_dichlorodiphenyldichloroethane_in_air), pp_DDE in air (mass_concentration_of_pp_dichlorodiphenyldichloroethylene_in_air), pp_DDT in air (mass_concentration_of_pp_dichlorodiphenyltrichloroethane_in_air), trans_CD in air (mass_concentration_of_trans_chlordane_in_air), trans_NO in air (mass_concentration_of_trans_nonachlor_in_air)
Ground based in situ observations of sun_tracking_filter_radiometer at Ny-Ålesund (NO0057R). These measurements are gathered as a part of the following projects GAW-WDCA and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: aerosol_optical_depth in aerosol (atmosphere_optical_thickness_due_to_ambient_aerosol_particles), aerosol_optical_depth in aerosol (atmosphere_optical_thickness_due_to_ambient_aerosol_particles), aerosol_optical_depth in aerosol (atmosphere_optical_thickness_due_to_ambient_aerosol_particles)
Ground based in situ observations of sun_tracking_filter_radiometer at Ny-Ålesund (NO0057R). These measurements are gathered as a part of the following projects GAW-WDCA and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: aerosol_optical_depth in aerosol (atmosphere_optical_thickness_due_to_ambient_aerosol_particles), aerosol_optical_depth in aerosol (atmosphere_optical_thickness_due_to_ambient_aerosol_particles), aerosol_optical_depth in aerosol (atmosphere_optical_thickness_due_to_ambient_aerosol_particles)
Institutions: NO01L, Norwegian Institute for Air Research, NILU, Instituttveien 18, 2007, Kjeller, Norway, NO01L, Norwegian Institute for Air Research, NILU, Instituttveien 18, 2007, Kjeller, Norway
Last metadata update: 2023-09-30T00:00:00Z
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Abstract:
Ground based in situ observations of filter_absorption_photometer at Zeppelin mountain (Ny-Ålesund) (NO0042G). These measurements are gathered as a part of the following projects ACTRIS, EMEP, GAW-WDCA and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: aerosol_absorption_coefficient in aerosol (volume_absorption_coefficient_in_air_due_to_dried_aerosol_particles), aerosol_absorption_coefficient in aerosol (volume_absorption_coefficient_in_air_due_to_dried_aerosol_particles), aerosol_absorption_coefficient in aerosol (volume_absorption_coefficient_in_air_due_to_dried_aerosol_particles)
This collection contains a high-resolution (2.5 km) dataset of glacier mass balance, runoff and snow conditions in Svalbard from 1991-2022, one of the fastest warming regions in the Arctic. The dataset is created using a full energy balance model (the CryoGrid community model) forced by both the Copernicus Arctic Regional ReAnalysis (CARRA) dataset (1991-2021) and AROME-ARCTIC forecasts (2016-2022). Each variable is available at both a daily and monthly resolution.
This collection contains a high-resolution (2.5 km) dataset of glacier mass balance and runoff in Franz Josef Land and Novaya Zemlya from 1991-2022, situated in one of the fastest warming regions in the Arctic. The dataset is created using a full energy balance model (the CryoGrid community model) forced by the Copernicus Arctic Regional ReAnalysis (CARRA) dataset (1991-2022). Each variable is available at both a daily and monthly resolution.
Institutions: The University Centre in Svalbard, The University Centre in Svalbard, Norwegian Meteorological Institute, Norwegian Meteorological Institute / Arctic Data Centre (NO/MET/ADC)
The Isfjorden Weather Information Network provides standard meteorological near-surface measurements from the Isfjorden region in Svalbard. The network includes weather stations permanently installed on lighthouses around the fjord and onboard small tourist cruise ships trafficking the fjord from the spring to the autumn. Data is available since August 2021 and new observations become available here in near real-time.
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.
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: Norwegian Meteorological Institute / Arctic Data Centre, Norwegian Meteorological Institute / Arctic Data Centre, IOPAN Instytut Oceanologii, Polska Akademia Nauk
Last metadata update: 2023-09-06T08:18:42Z
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Abstract:
IO PAS CTD data file from Arctic Cruise with R/V Oceania performed in summer 2008
Institutions: AWI Alfred Wegener Institute for Polar and Marine Research, Norwegian Meteorological Institute / Arctic Data Centre, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2023-08-25T10:27:10Z
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Abstract:
Data of drop sondes released from an aircraft during cold-air outbreaks over the Fram Strait (4 March 1993). 7 profiles of temperature, humidity and wind are available as a function of distance to the pack ice edge. Details in Lüpkes and Schlünzen 1996, BLM, 79,107-130.
Institutions: NO01L, Norwegian Institute for Air Research, NILU, Instituttveien 18, 2007, Kjeller, Norway, NO01L, Norwegian Institute for Air Research, NILU, Instituttveien 18, 2007, Kjeller, Norway
Last metadata update: 2023-08-24T00:00:00Z
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Abstract:
Ground based in situ observations of dmps at Trollhaugen (NO0059G). These measurements are gathered as a part of the following projects ACTRIS, EMEP, GAW-WDCA, NILU and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: particle_number_size_distribution in pm10, particle_number_size_distribution in pm10, particle_number_size_distribution in pm10
Institutions: NO01L, Norwegian Institute for Air Research, NILU, Instituttveien 18, 2007, Kjeller, Norway, NO01L, Norwegian Institute for Air Research, NILU, Instituttveien 18, 2007, Kjeller, Norway
Last metadata update: 2023-08-23T00:00:00Z
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Abstract:
Ground based in situ observations of dmps at Zeppelin mountain (Ny-Ålesund) (NO0042G). These measurements are gathered as a part of the following projects ACTRIS, EMEP, GAW-WDCA, NILU and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: particle_number_size_distribution in pm10_non_volatile (mass_concentration_of_particle_number_size_distribution_in_refractory_pm10_in_air), particle_number_size_distribution in pm10_non_volatile (mass_concentration_of_particle_number_size_distribution_in_refractory_pm10_in_air), particle_number_size_distribution in pm10_non_volatile (mass_concentration_of_particle_number_size_distribution_in_refractory_pm10_in_air)
Institutions: NO01L, Norwegian Institute for Air Research, NILU, Instituttveien 18, 2007, Kjeller, Norway, NO01L, Norwegian Institute for Air Research, NILU, Instituttveien 18, 2007, Kjeller, Norway
Last metadata update: 2023-08-23T00:00:00Z
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Abstract:
Ground based in situ observations of dmps at Zeppelin mountain (Ny-Ålesund) (NO0042G). These measurements are gathered as a part of the following projects ACTRIS, EMEP, GAW-WDCA, NILU and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: particle_number_size_distribution in pm10, particle_number_size_distribution in pm10, particle_number_size_distribution in pm10