The core partner data centres that are integrated in NorDataNet are listed in https://www.nordatanet.no/en/node/69. In addition to this NorDataNet harvests information on relevant datasets from a number of other data centres. The data centre responsible for the data presented is usually (but not always) listed in the discovery metadata. In essence NorDataNet is an aggregating service that combines information from a number of existing data centres.
Citation of data and service
If you use data retrieved through this portal, please acknowledge our funding source:
Research Council of Norway, project number 245967/F50, Norwegian Scientific Data Network.
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)
All partner repositories of NorDataNet support Digital Object Identifiers (DOI), but not all datasets are minted. Whether or not minted depends often on source of the data (e.g. operational data are often yet not minted). However, all data centres support persistent identifiers according to local systems. The information required to properly cite a dataset is normally provided in the discovery metadata the datasets.
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 identified in the drop down menu with and phrases embedded in quotation marks. Prefixing a phrase with '-' negates the phrase (i.e. should not occur in the results). 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. The combination of search fields (including facets) is based on a logical "AND" combination of the fields, i.e. all conditions are fulfilled for the results provided.
The archipelago of Svalbard presently contains approximately 33,200 km2 of glaciers, with a large number of small valley glaciers as well as large areas of contiguous ice fields and ice caps. While a first glacier inventory was compiled in 1993, there has not been a readily available digital version. Here we present a new digital glacier database, which will be available through the GLIMS project. Glacier outlines have been created for the years 1936, 1966-71, 1990, and 2001-2010. For most glaciers, outlines are available from more than one of these years. A complete coverage of Svalbard is available for the 2001-2010 dataset. Glacier outlines were created using cartographic data from the original Norwegian Polar Institute topographic map series of Svalbard as basis by delineating individual glaciers and ice streams, assigning unique identification codes relating to the hydrological watersheds, digitizing center-lines, and providing a number of attributes for each glacier mask. The 2001-2010 glacier outlines are derived from orthorectified satellite images acquired from the SPOT-5 and ASTER satellite sensors. In areas where coverage for all time periods is available, the overwhelming majority of glaciers are observed to be in sustained retreat over the period from 1936-2010.
This study was conducted in a collaboration between the Department of Geoscience, University of Oslo, and the Norwegian Polar Institute, it was supported by the European Space Agency (ESA) through the projects Glaciers_CCI (4000101778/10/I-AM) and Cryoclim, which is also supported by the Norwegian Space Centre.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2023-10-26T11:47:12Z
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Abstract:
Quality controlled timeseries from Norwegian weather station 0-578-0-99910. 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: 2023-10-26T11:47:12Z
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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.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2023-10-26T11:47:12Z
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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: 2023-10-26T11:47:12Z
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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.
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).
Quality
Data 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).
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
Quality
Spatial Reference: WGS84/UTM zone 33N (EPSG: 32633)
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.
Quality
Spatial Reference: WGS84/UTM zone 33N (EPSG: 32633)
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.
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.
Endringer i jaktforbudsområder krever i de fleste tilfeller endring av forskrifter.
Quality
Scale Range: Maximum (zoomed in) 1:5000; Minimum (zoomed out) 1:150000000 Spatial Reference: WGS84/UTM zone 33N (EPSG: 32633)
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2023-10-26T11:47:12Z
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Abstract:
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: 2023-10-26T11:47:12Z
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Abstract:
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.
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.
MS Access database, originally created by Vidar Bakken.
Quality
The data quality is “best available”, and highly variable as the database contains historical data, as well as data from recent surveys and censuses. A few, selected colonies are revisited and counted annually, while others are rarely revisited due to their remote locations. A substantial number of colonies are registered with historically recorded positions that are not accurate.
A brief explanation of all the fields in the seabird-colony database:
colony_name - Colony’s name.
colony_alternative_name - Colony’s alternative name.
region - the region the colony belongs to.
zone:The zone the colony belongs to which could be f.ex. Hornsund, Bellsund, Isfjorden, Prins Karls Forland etc. From a collection of names.
latitude: The colony’s latitude.
longitude: The colony’s longitude.
location_accuracy: How accurate is the given latitude/longitude? Measured in meters, by GPS or on digital map.
conservation_type: Is the colony located in an area which holds a particular conservation status?
colony_type: The type of terrain the colony is situated in.
ownership: Who owns the colony location.
island: Name of island if colony not situated on the mainland.
island_size: Size of island if colony not situated on the mainland.
island_archipelago: The island belongs to this archipelago.
length: Length of coastline where the colony is situated - usually applies to coast colonies.
distance: Distance from colony to closest coastline.
distance_mainland: Distance from colony to the mainland.
exposure: Direction of the colony- south, west, etc.
area: Area of cliff wall if situated on a vertical cliff (or hillside).
confirmed: Year the colony first were described in literature.
map: The map that shows the colony place, for Svalbard typically numbered maps f.ex. “E8-BARENTSJØKULEN”.
comment: Comment about the colony.
geometry: GeoJSON object outlining the colony
historical_colony: Where the colony first was described - field used f.ex. if colony can’t be found anymore to keep old data.
colony_area: 1 if there exists a location area polygon for the colony an 0 if not.
predators: Who is predating the colony.
access_id: The corresponding MS access database id for count.
species: Which species.
start_date: Start date of counting.
end_date: End date of counting.
mean: Mean count value for the species in the colony.
max: Max count value for the species in the colony.
min: Min count value for the species in the colony.
accuracy: Count accuracy.Exact or rough estimate.
unit: Unit used for counting - pair, individual, nest, apparently occupied nest etc
method: Counting method used - direct count, from photograph, extrapolated, combination etc.
platform: Viewed from platform - land, boat, helicopter etc.
breeding: Stage of breeding - pre-laying period, eggs only, hatching period etc.
useful: Useful as total count.
count_comment: comment about the count.
colony_reference: This is one or more literature references where the colony has been described.
colony_reference.ref_id: RefenceID from MS database.
colony_reference.ref_unique_id: refence id most likely from the old DBase database.
colony_reference.authors: Publication authors.
colony_reference.title: Publication title.
colony_reference.year: Year publication was published.