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.
Institutions: UNIS The University Centre in Svalbard, Norwegian Meteorological Institute / Arctic Data Centre, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2022-11-15T12:48:12Z
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Abstract:
The mooring F0 was in operation at 78.833 deg N in the Fram Strait between 2007-09-11 and 2009-09-11, measuring current and hydrographic properties at the shelf break (224 m water depth). The mooring was retrieved and redeployed between 2008-09-11 and 2008-09-14. The child datasets represents different instrumentation at different levels in the mooring.
Institutions: Norwegian Polar Institute, Norwegian Polar Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute / Arctic Data Centre
Institutions: Norwegian Polar Institute, Norwegian Polar Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute / Arctic Data Centre
Institutions: IMR Institute of Marine Research, Norwegian Meteorological Institute / Arctic Data Centre, Norwegian Meteorological Institute / Arctic Data Centre, IMR Institute of Marine Research
To study the Svalbard reindeer and their basis of existence.Part of Nils Are Øritslands work over many years. Based on field work and hunting material. The hunting material is from 1984, 1986 and 1987 and contains the age mix of the animals.Countings, observations and experiments
Ringed seal (Pusa hispida) abundance in Spitsbergen, Svalbard, was estimated during the peak moulting period via aerial, digital photographic surveys. Two digital cameras were automatically triggered at pre-defined GPS positions on transects. A total of 9,145 images, covering 41.7%–100% of the total fast-ice cover (1,496 km2) of 18 different fjords and bays, were inspected manually for the presence of ringed seals. A total of 1,708 seals were counted, and when accounting for ice areas that were not covered by images, a total of 3,254 (95% CI: 3,071–3,449) ringed seals were estimated to be hauled out during the surveys. Extensive behavioral data from radio-tagged ringed seals (collected in a companion study) from one of the highest density fjords during the molting period were used to create a model that predicts the proportion of seals hauled out on any given date, time of day, and under various meteorological conditions. Applying this model to the count data from each fjord, we estimated that a total of 7,585 (95% CI: 6,332–9,085) ringed seals were present in the surveyed area during the peak moulting period. Data on interannual variability in ringed seal abundance suggested higher numbers of seals in Van Keulenfjorden in 2002 compared to 2003, while other fjords with very stable ice cover showed no statistical differences. Poor ice conditions in general in 2002 probably resulted in seals from a wide area coming to Van Keulenfjorden (a large fjord with stable ice in 2002). The total estimated number of ringed seals present in the study area at the time of the survey must be regarded as a population index, or at least a minimum estimate for the area, because it does not account for individuals leaving and arriving, which might account for a considerable number of animals. The same situation is likely the case for many other studies reporting aerial census data for ringed seals. To achieve accurate estimates of population sizes from aerial surveys, more extensive knowledge of ringed seal behaviour will be required.
EUMETSAT Ocean and Sea Ice Satellite Application Facility (EUMETSAT OSI SAF)
Institutions: EUMETSAT Ocean and Sea Ice Satellite Application Facility, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2024-05-02T11:12:00Z
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Abstract:
The daily analysis of sea ice concentration is obtained from
operational satellite images of the polar regions. It is based on
atmospherically corrected signal and a carefully selected sea ice
concentration algorithm. This product is freely available from the
EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI
SAF). The Eumetsat identifier for the product is OSI-401.
License : All intellectual property rights of the OSI SAF products belong to EUMETSAT. The use of these products is granted to every interested user, free of charge. If you wish to use these products, EUMETSAT's copyright credit must be shown by displaying the words "copyright (year) EUMETSAT" on each of the products used.
Access: Open
EUMETSAT Ocean and Sea Ice Satellite Application Facility (EUMETSAT OSI SAF)
Institutions: EUMETSAT Ocean and Sea Ice Satellite Application Facility, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2024-05-02T11:12:00Z
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Abstract:
The daily analysis of sea ice concentration is obtained from
operational satellite images of the polar regions. It is based on
atmospherically corrected signal and a carefully selected sea ice
concentration algorithm. This product is freely available from the
EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI
SAF). The Eumetsat identifier for this product is OSI-401.
License : All intellectual property rights of the OSI SAF products belong to EUMETSAT. The use of these products is granted to every interested user, free of charge. If you wish to use these products, EUMETSAT's copyright credit must be shown by displaying the words "copyright (year) EUMETSAT" on each of the products used.
Access: Open
On Svalbard, the long-lasting snow cover and the timing of the snowmelt is a crucial factor in the yearly cycle of all land ecosystems. To monitor the timing and patterns of snow melt, automatic camera systems have been set up at three locations overlooking key research areas near Ny-Ålesund, Svalbard. All images are provided in daily resolution, and the date coded in the filename as yyyy-MM-dd. This work was funded by SMACS (project no. 236768 / E10; Svalbard Science Forum, Research Council of Norway). ** For all details see the full metadata description at "https://doi.pangaea.de/10.1594/PANGAEA.846617"!
Institutions: Norwegian Polar Institute, Norwegian Polar Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2022-11-15T12:48:12Z
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Abstract:
Temperature and Salinity measurements collected by the Norwegain Polar
Institute.
The Japanese Ny-Alesund Observatory, which is cal1ed "Rabben" was established in April 1991 there. It is located at about 1.5 km north west from the center of Ny-Alesund. The latitude, longitude and altitude of the observatory are 78o55'N, 11o56'E and about 40 m, respectively. We developed an automatic system for meteorological data acquisition, because no permanent stuff stayed at the observatory throughout the year to maintain instruments. Their sensors were installed nearby Rabben. Ground based measurements of meteorological elements have been made continuously since August 16, 1992 at the observatory. This data report shows the data from August 1992 to December 1993.
Green Network of Excellence Program - Arctic Climate Change Research Project
Last metadata update: 2016-03-31T00:00:00Z
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Abstract:
Dataset of atmospheric O2 and CO2 concentrations obtained at Ny-Alesund Station using a differencial fuel-cell oxygen analyzer and non-dispersive infrared analyzer
For the purpose of clarification of the climate and environmental changes for the past 100 years in the Arctic, the Japanese Arctic Glaciological Expedition (JAGE) conducted a large number of ice corings on a number of glaciers from 1987 to 1999 (Watanabe and Fujii, 1988, 1990; Watanabe et al, 1993, 2000; Watanabe, 1996; Kamiyama et al, 2001; Motoyama et ai, 2001).Ice core data from seven ice coring sites in Svalbard are compiled and reported here. There were ice core data of 85.6 m at Hoghetta Ice Dome in 1987, 83.9 m and 24.4 m at Snofjellafonna in 1992, 185 m and 41 m at Asgardfonna in 1993, 10 m at Br0ggerbreen in 1994, 211 m at Vestfonna in 1995, 118 m at Austfonna in 1998, 289 m at Austfonna in 1999. The drilling sites are shown in Fig. 1. The characteristics of drilling sites are summarized in Table 1. The tabulated items are the latitude, longitude, altitude, ice core drilling depth, glacier temperature at 10 m depth, and average ice density from surface to 10 m depth and from 10 m to 20 m depth, respectively.