The SIOS Data Management Service 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 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. 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 is provided in the metadata for many datasets.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2022-01-13T17:55:09Z
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The product is based on a manual interpolation of available insitu observations. This dataset is the predecessor of the gridded ice charts based on satellite data and other sources. This dataset primarily identifies the sea ice edge.
The UNIS Hydrographic Database (UNIS HD) is a collection of temperature and salinity profiles from the area (0-34°E and 75-83°N). Main data contributors are The University Centre in Svalbard (UNIS), University of Bergen (UiB), Institute of Marine Research (IMR), Norwegian Polar Institute (NPI), the Arctic University of Norway (UiT), Institute of Oceanology Polish Academy of Sciences (IOPAS), The Scottish Association for Marine Science (SAMS), Arctic and Antarctic Research Institute (AARI), and Alfred Wegener Institut (AWI). Additional data in the database have been extracted from other data publishers; the Norwegian Marine Data Centre (NMDC, https://www.nmdc.no), the dataset catalogue of the Norwegian Polar Institute (https://data.npolar.no/dataset), the International Council for the Exploration of the Sea (ICES) dataset on ocean hydrography (https://ocean.ices.dk/HydChem), the PANGAEA data publisher (https://www.pangaea.de), the North Atlantic and Nordic Seas hydrography collection (NANSHY; Nilsen, 2015) based on the dataset from the project Norwegian Iceland Seas Experiment (NISE; Nilsen et al., 2008), and the Unified Database for Arctic and Subarctic Hydrography (UDASH; Behrendt et al., 2018). Data are processed with standard software from the instrument manufacturers, and most of them calibrated with in situ water bottle analysis and post-cruise calibration. However, calibration has not been quality checked in all the data, so use with caution (salinity values in particular). Duplicate data and outliers are removed. Remaining profiles are provided with information of owner or source institution and citation when possible (see Citation list).
The Sea Bird Colony Database contains current and historical data for all known seabird colonies in Svalbard and around the Barents Sea, including total counts, surveillance data, photographic documentation and references. The database is owned and annually maintained by the Norwegian Polar Institute in partnership with seven Russian institutions.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2021-11-04T16:50:00Z
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Quality controlled timeseries from Norwegian weather station 0-578-0-99840. Data are climate consistent following a number of automated and manual quality control routines.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2021-11-04T16:50:00Z
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Quality controlled timeseries from Norwegian weather station 0-578-0-99765. Data are climate consistent following a number of automated and manual quality control routines.
Digital geological map of Svalbard at the scale of 1:750000.
Subdivision of geology is according to stratigraphic group, subgroup or formation, depending on which is best applicable to the given scale. Where no formations are defined in parts of the geological basement, lithological units are defined instead
Digital geological map of Svalbard at the scale of 1:250000.
Subdivision of geology is according to stratigraphic group, subgroup or formation, depending on which is best applicable to the given scale. Where no formations are defined in parts of the geological basement, lithological units are defined instead.
Datasettet består av start- og sluttpunkt for kartlegging av strandsøppel og linjene mellom disse. Fra 2011 er det lagt om til ny metodikk, og overvåkingen vil heretter bare foregå på Brucebukta og Luftskipodden (ny lokalitet).Tidligere ble også Breibogen og Isflakbukta overvåka (med MOSJ-metodikk). OSPAR- og MOSJlokaliteter har ulik overvåkingsmetodikk.
- Brucebukta. I MOSJ blir ei 200 m lang strekning overvåka. I OSPAR blir ei 100 m lang strekning overvåka.
- Luftskipodden. Kun OSPAR-overvåking. Her blir ei 1 km strekning grovovervåka og ei 100 m strekning detaljovervåka.Mer detaljer om overvåkingsmetodikk:http://www.miljostatus.no/Tema/Hav-og-kyst/Barentshavet/Indikatorer-barentshavet/Indikator-Strandsoppel/
Data on various environmental resources have been assessed for vulnerability to acute oil pollution and given a priority 1 to 3, 3 being the most vulnerable. Resources included are shoreline cultural heritage sites, walrus and harbour seal haul-out sites, seabird colonies, anadromous Arctic charr river outlets, and shoreline substrate. The dataset is meant to help prioritize clean-up efforts in the immediate phase after a spill has occurred.
Datasettet viser områder med begrensninger på jakt utover dei generelle reglane i Svalbardmiljølova på Svalbard.
Rundt Longyearbyen er forskrift om skyteforbud på høring i 2012. Planlagt utvidelse av skyteforbudssonendenne sonen. Følgjande forskrifter regulerer forbudsområder for jakt på Svalbard:
- Skyteforbudssone rundt Longyearbyen
- Alt vilt freda (=jaktforbud) i naturreservat på østsvalbard og i fuglereservat
- Rypejakt tillatt etter søknad i Sør-Spitsbergen, Forlandet og Nordvest-Spitsbergen nasjonalparker
- Bjørnøya naturreservat
- Hopen naturreservat
- Moffen naturreservat
- Midterhuken
Reinsjakt og fangst av fjellrev er kun tillatt i nærmere bestemte områder.
This data set named the Kongsfjorden Transect data is a subset of the UNIS Hydrographic Database (UNIS HD). UNIS HD is a collection of temperature and salinity profiles from the area (1-30°E and 75-81.5°N). The main portion of the Kongsfjorden Transect data were collected during the period 1994-2014 by The University Centre in Svalbard (UNIS), University of Bergen (UiB), Norwegian Polar Institute (NPI), Institute of Oceanology Polish Academy of Sciences (IOPAS) and the Arctic University of Norway (UiT). Additional data in the database have been extracted from other data publishers; the Norwegian Marine Data Centre (NMDC, https://www.nmdc.no/), the International Council for the Exploration of the Sea (ICES) conductivity, temperature and depth (CTD) database (https://ocean.ices.dk/HydChem/), the PANGAEA data publisher (https://www.pangaea.de/), and the database from the project Norwegian Iceland Seas Experiment (NISE; Nilsen et al., 2008).
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2021-11-04T16:50:00Z
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Abstract:
Quality controlled timeseries from Norwegian weather station 0-578-0-99752. Data are climate consistent following a number of automated and manual quality control routines.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2021-11-04T16:50:00Z
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Abstract:
Quality controlled timeseries from Norwegian weather station 0-578-0-99710. Data are climate consistent following a number of automated and manual quality control routines.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2021-11-04T16:50:00Z
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Abstract:
Quality controlled timeseries from Norwegian weather station 0-578-0-99790. Data are climate consistent following a number of automated and manual quality control routines.