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.
Geosystem monitoring at the Polish Polar Station Hornsund
Institutions: Institute of Geophysics, Polish Academy of Sciences
Last metadata update: 2022-04-29T13:30:00Z
Show more...
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.
a) Sea bed mapping and b) Glacial geological and paleo climatic research.Acustical profile data from seismic, penetration echo sounder and side-scanning sonar.
Marine geological sampling points with with associated information on shell sand content (must be over 50%) and shell sand class in the upper part (about 0-40cm) of seabed. Samples are obtained with grab or box corer and geological descriptions are based on visual observations of sediments.
The data table includes information about sampling, depth, geology and biology.
The dataset provides an overview of modern sedimentary environment and processes on the seabed in terms of deposition, transportation and erosion of sediments.
The data on this theme is based on the content of the grain size map. Regional mapping on Norwegian continental shelf by MAREANO.
The map service shows the distribution of various marine habits in areas mapped by the Mareano program, as well as shell sands in the Norwegian coast. The classification of natural habitats has been developed in collaboration between the Institute of Marine Research and Norway's geological survey and is based on a number of geological and biological parameters on the seabed.
Probable occurrences of coral reefs on Norwegian Continental Shelf, where the attributes 'palitelighet' and 'code' indicate whether automatic classification of the occurrence has high or low confidence.
This dataset is one of four datasets created by the automatic classification of detailed bathymetry data.
The map service shows the bottom of the North-East Atlantic and the Barents Sea divided into large geographical areas with a visually homogeneous character (marine landscapes).
MAREANO, AQUREG, GEOS Oslofjorden, Marine grunnkart i Soer-Troms, Marine grunnkart i Astafjord, fase III, Marine grunnkart i Sør Sunnmøre, Marine grunnkart i Sogn og Fjordane, Marine Grunnkart i fem kommuner i Oforten (MAREANO, AQUREG, GEOS Oslofjorden, Astafjorprosjektet, AstafjordIII, MGG, MG_SFJ, MG Ofoten)
Last metadata update: 2010-09-28T12:00:00Z
Show more...
Abstract:
This geologically interpreted data is based on grain size distribution, and indicates how easy it would be to dig into the sea floor, and how stable the dugout depression would be. Sandy sediments, for example, will collapse more quickly after digging a trench than the sediments with finer grain size.
Subsea landscapes of Norwegian ocean areas based on low resolution bathymetry. The map covers areas of 2.4 mill. km2 and is made for presentation in small scale; 1:500 000 for the Barents Sea and the Mid-Norwegian shelf, and 1:1 000 000 for other Norwegian ocean areas. The map gives a good regional picture of terrain variations in areas that have so far been little studied.
Dataset comprises polygons of 1x1km, each square km bearing information of the number of probable occurrences of coral reefs within it (occurrence density).
The dataset provides an overview of organic carbon accumulation rates in the upper ten centimetres of seabed sediments in the North Sea and Skagerrak. Results are quantitative and were calculated from spatially predicted sedimentation rates and organic carbon concentrations. Uncertainties of the estimates are provided as well.
The dataset shows the total thickness of sediments deposited on the continental margin south and west of Norway during the Quaternary (the last 2,6 million years). The thickness is presented in milliseconds to-way traveltime (ms twt). 1 ms twt corresponds approximately 1 m in Quaternary sediments. The dataset is a raster-file (tiff), 1000m-grid.
Marine grunnkart i Sør-Troms, Biologisk mangfold, Havbruk, areal, samordning og utvikling i Trøndelag (Astafjordprosjektet, Biologisk mangfold, HASUT)
Last metadata update: 2019-09-03T12:00:00Z
Show more...
Abstract:
The datasett is a geographic representation of over 800 ice marginal deposits in Norwegian fjords and coastal areas. The dataset is compiled of data from several mapping projects, litteratur and other sources. The main compilation was made in cooperation between NGU and Miljødirektoratet (Biomangfoldprosjektet). The interpretation of ice marginal deposits is based on detailed bathymetry data.