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
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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.
a) Sea bed mapping and b) Glacial geological and paleo climatic research.Acustical profile data from seismic, penetration echo sounder and side-scanning sonar.
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
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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
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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.
Marine Grunnkart i kystsonen (Marine grunnkart i kystsonen)
Last metadata update: 2010-09-14T12:00:00Z
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Abstract:
This dataset shows the distribution og the Quaternary sediments on the seabed. Based on analog reflection seismic data, seabed sampling and digital data from modern mapping with reflection seismic and multibeam sonar, the interpretation is made to describe the genesis of the submarine deposits.
Dataset gives outlines of probable occurrences of coral reefs on the Norwegian Continental Shelf without specifying confidence classes. Such outlines are particularly useful for comparing coral occurrences and recognition confidence classification with detailed bottom relief and other types of data.
This dataset is one of four datasets created by the automatic classification of detailed bathymetry data.
Upwelling and downwelling longwave and shortwave radiation and shortwave albedo from station deployed out on the ice floe, nearby surface meteorology observations.
WP2
Quality
Albedo data is on a different time step and is a heavily processed version of a subset of the the radiation data, see attributes in the NetCDF files and the READMEs:
Quantarctica is a collection of Antarctic geographical datasets which works with the free, cross-platform, open-source software QGIS. It includes community-contributed, peer-reviewed data from ten different scientific themes and a professionally-designed basemap.
Quality
The Quantarctica Editorial Board selects peer-reviewed datasets for a wide range of Antarctic users, including over 150 basemap and scientific data layers and thematic coverage from Glaciology and Geophysics to other themes such as Atmospheric Science, Biology, Oceanography, Social Sciences, and more. The Quantarctica project team at the Norwegian Polar Institute then incorporates these layers into the Quantarctica data package by importing, reprojecting, styling, labeling, and organizing them for user-friendly presentation.
The data set contains information on weather, sea state, sea ice and icebergs recovered from the logbooks and meteorological journals of three Norwegian vessels during their five voyages to the Southern Ocean and Antarctica. The following information was recovered from the keyed and translated logbooks. Factory ship (FS) Antarctic: sea ice notes, icebergs, meteorological information, state of sea surface. FS Svend Foyn: sea ice notes, icebergs. Research vessel (RV) Norvegia: sea ice notes, icebergs; meteorological information. The observations cover the spring to early fall periods of 1929-1933. Details on data sources, methods used and basic analysis conducted on the data are found in the attached project report file.
Quality
Details on data sources, data analysis and methods are found in the attached project report file. List of files comprising the data set:
SeaIceNotes_Logbook_RV_Norvegia_1929_1930_final.xlsx Sea ice and iceberg observations from the third expedition of RV Norvegia to the SO and Antarctic.
SeaIceNotes_Weather_Logbook_FS_Antarctic_1930_final.xlsx Sea ice, icebergs and weather observations from FS Antarctic during the whaling season of 1929-1930 (only 1930 covered).
SeaIceNotes_Weather__Logbook_FS_Antarctic_1930-1931_final.xlsx Sea ice, icebergs and weather observations from FS Antarctic during the whaling season of 1930-1931.
SeaIceNotes_Meteojournal_FS_SvendFoyn1932-1933_final.xlsx Sea ice and iceberg observations from FS Svend Foyn during the whaling season of 1932-1933.