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
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 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.
WMS-tjeneste. Tjenesten inneholder generalisert utgave av de offisielle topografiske data over Svalbard. Innholdet er begrenset i forhold til WMTS-tjenesten.
WMS service. The service contains the official topographical data for Svalbard. The content is limited compared to the WMTS service.
Kartdata for sentrale deler av Dronning Maud Land.
Kartdataene inngår i den kontinentale kartdatabasen over Antarktis, Antarctic Digital Database (ADD). ADD er et samarbeid mellom kravshaverlandene i Antarktis. Mens D250 Kartdata kun dekker sentrale deler (ikke hele området som er definert i Geographic Coverage nedenfor), dekker ADD hele Dronning Maud Land, og har i tillegg oppdaterte kystlinjer mv. NP anbefaler at disse kartdataene benyttes i stedet for D250 Kartdata. Lenke til ADD er gitt nedenfor.
Map data for central parts of Dronning Maud Land.
The map data is part of the continental map database, Antarctic Digital Database (ADD). ADD is a collaboration between the claimant countries in Antarctica. While D250 Kartdata only covers central parts (not all the area defined in Geographic Coverage below), the ADD covers all of Dronning Maud Land, and additionally contains updated coastlines etc. NPI recommends using these data instead of D250 Kartdata. Link to ADD is provided below.
Geosystem monitoring at the Polish Polar Station Hornsund
Institutions: Institute of Geophysics, Polish Academy of Sciences
Last metadata update: 2022-04-29T13:30:00Z
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Abstract:
In-house developed time-lapse cameras are installed along the coast of Isbjornhamna, on Ariekammen slopes and in front of the Hansbreen. Imagery is mainly used for calving observations, icebergs tracking and sea ice concentration monitoring. Only raw imagery is avilable.
Radarsat-2 coverage of the Barents Sea and the Greenland Sea including Svalbard land mass with almost daily coverage of the whole area depending on available data. See the example coverage in the links.
Scan SAR Wide Swath Data 50m resolution.
Restricted to internal NPI use only, terms and conditions as stated in the related document linked below.
Mean sea ice charts have been calculated based on daily or weekly ice charts produced by NPI and met.no since 1967 to the present day. The original charts are based on satellite imagery, primarily SSM/I with a spatial resolution of 25km. Therefore the mean ice charts were also calculated at a grid resolution of 25km consistent with the original data. The mean ice charts have been calculated for monthly means, 10 year monthly means, and 30 year monthly means.
Geosystem monitoring at the Polish Polar Station Hornsund
Institutions: Institute of Geophysics, Polish Academy of Sciences
Last metadata update: 2022-04-29T13:30:00Z
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Abstract:
Raw imagery from the time-lapse camera system installed close to the Fugleberget summit in Hornsund. The imagery covers the lower part of Fuglebekken catchment and the coastline of Isbjørnhamna. Imagery downloaded at the end of the melting season. Imagery is taken every 3 hours. Occasional gaps due to clouds, icing and equipment failure. Calculation of Fractional Snow Cover (FSC) is the main purpose of the dataset. FSC was processed for the time period: 2014-2016
The ACS_Bayelva_class dataset contains 302 high-resolution binary snow cover images that were obtained by classifying orthrorectified photographs of a 1.77 km^2 area of interest in the Bayelva catchment. This catchment is close to Ny-Ålesund, the northernmost permanent civilian settlement in the world and a major hub for polar research, in the Norwegian high-Arctic Svalbard archipelago. The imagery has a (roughly) daily temporal resolution and a ground sampling distance (pixel spacing) of 0.5 m. The dataset spans 6 snowmelt seasons, covering the months May-August for the period 2012-2017. The orthophotos were obtained by processing oblique time-lapse photographs taken by a terrestiral automatic camera system (ACS) mounted at 562 m a.s.l. near the summit of Scheteligfjellet (719 m a.s.l.) a few kilometers west of Ny-Ålesund. The orthophotos were manually classified into binary snow cover images (0=no snow, 1=snow) by iteratively selecting a (visually) optimal threshold on the intensity in the blue band for each image. More details are provided in the study of Aalstad et al. (2020) [a copy is available in this repository] where this dataset was created. The ACS was maintained by scientists from the group of Sebastian Westermann at the Section for Physical Geography and Hydrology in the Department of Geosciences at the University of Oslo, Oslo, Norway.
This global Level-3 (L3) data set provides the maximum percentage of snow-covered land and persistent cloud-covered land observed over eight-days, within 0.05° (approx. 5 km) MODIS Climate Modeling Grid (CMG) cells. Percentages are computed from snow cover observations in the 'MODIS/Aqua Snow Cover 8-Day L3 Global 500m SIN Grid' data set (DOI:10.5067/MODIS/MYD10A2.061).
The terms "Version 61" and "Collection 6.1" are used interchangeably in reference to this release of MODIS data.