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.
Spatiotemporal variability in mortality and growth of fish larvae and zooplankton in the Lofoten-Barents Sea ecosystem, The Nansen Legacy (SVIM, NLEG)
Institutions: Institute of Marine Reseach - Norway, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2024-01-03T11:42:12Z
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Abstract:
The SVIM archive contains results from an ocean and sea ice hindcast. The original version of the archive covered the period 1960-2011, and has later been extended on several occasions. The results are provided on a 4km polar stereographic grid projection, and the ocean model has a vertical resolution of 32 s layers. The focus is an adequate representation of the Atlantic influenced water masses within the Nordic Seas and the Barents Sea. Less emphasize has been put on the areas downstream of the Arctic bound Atlantic Water flow, i.e. the Arctic Ocean and the Greenland Sea. There were multiple aims for this product, including (1) process studies within physical oceanography, (2) representation of oceanographic conditions for other applications such as primary production models and individual-based models for zoo- and ichtyoplankton, (3) boundary values for smaller scale model studies. For ocean circulation the Regional Ocean Modeling System (ROMS; https://www.myroms.org/) was used (v.3.2 up to and including September 2018, v.3.5 thereafter). The sea-ice model used is similar to the module described in Budgell (Ocean Dyn. 2005). Boundary values for the ocean model were derived from the Simple Ocean Data Assimilation dataset (SODA v.2.1.6), while boundary values for the sea ice conditions were taken from a regional simulation (Sandø et al., JGR 2012). After 2008, the ocean boundaries were forced with monthly climatologies from 2000-2008, while for ice conditions after 2007, the 2000-2007 monthly climatologies were used. Tidal forcing was based on the global ocean tides model TPXO4. The quality of the model results for the original archive period were assessed by Lien et al. (2013; https://www.hi.no/resources/publikasjoner/fisken-og-havet/2013/fh_7-2013_swim_til_web.pdf).
Spatiotemporal variability in mortality and growth of fish larvae and zooplankton in the Lofoten-Barents Sea ecosystem, The Nansen Legacy (SVIM, NLEG)
Institutions: Institute of Marine Reseach - Norway, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2024-01-03T11:42:12Z
Show more...
Abstract:
The SVIM archive contains results from an ocean and sea ice hindcast. The original version of the archive covered the period 1960-2011, and has later been extended on several occasions. The results are provided on a 4km polar stereographic grid projection, and the ocean model has a vertical resolution of 32 s layers. The focus is an adequate representation of the Atlantic influenced water masses within the Nordic Seas and the Barents Sea. Less emphasize has been put on the areas downstream of the Arctic bound Atlantic Water flow, i.e. the Arctic Ocean and the Greenland Sea. There were multiple aims for this product, including (1) process studies within physical oceanography, (2) representation of oceanographic conditions for other applications such as primary production models and individual-based models for zoo- and ichtyoplankton, (3) boundary values for smaller scale model studies. For ocean circulation the Regional Ocean Modeling System (ROMS; https://www.myroms.org/) was used (v.3.2 up to and including September 2018, v.3.5 thereafter). The sea-ice model used is similar to the module described in Budgell (Ocean Dyn. 2005). Boundary values for the ocean model were derived from the Simple Ocean Data Assimilation dataset (SODA v.2.1.6), while boundary values for the sea ice conditions were taken from a regional simulation (Sandø et al., JGR 2012). After 2008, the ocean boundaries were forced with monthly climatologies from 2000-2008, while for ice conditions after 2007, the 2000-2007 monthly climatologies were used. Tidal forcing was based on the global ocean tides model TPXO4. The quality of the model results for the original archive period were assessed by Lien et al. (2013; https://www.hi.no/resources/publikasjoner/fisken-og-havet/2013/fh_7-2013_swim_til_web.pdf).
Centre for Sustainable Arctic Marine and Coastal Technology, Arctic Offshore and Coastal Engineering in a Changing Climate, Programme for International Partnerships for Excellent Education, Research, and Innovation, Dynamics of Floating Ice, Large-scale Programme for Petroleum Research, Survey to assess harp and hooded seal pup production in the Greenland sea pack-ice in 2018, Integrated System for Operations in Polar Seas, Nansen Legacy, Dynamics of Floating ice, Australian Antarctic Program projects 4593 and 4506, Joyce Lambert Antarctic Research Fund grant no. 604086, Research Council of Norway grant no. 280625, Fram 2020, Arctic Challenge for Sustainability II, JSPS KAKENHI Grant Numbers JP 19H00801, 19H05512, 21K14357 and 22H00241, Survey to assess harp and hooded seal pup production in the Greenland sea pack-ice in 2022, SURVEYS TO ASSESS HARP AND HOODED SEAL PUP PRODUCTION IN THE GREENLAND SEA PACK-ICE IN 2022 (SAMCoT, AOCEC, INTPART, DOFI, PTEROMAKS2, ISOPS, AeN, ArCS II)
Institutions: Norwegian Meteorological Institute (MET), University of Melbourne, College of Fisheries and Ocean Sciences, University of Tokyo, Havforskningsinstituttet, Norwegian Meteorological Institute / Arctic Data Centre
Sea ice drift trajectories and waves in sea ice data collected over the period 2017-2022 by a consortium of researchers, both in the Arctic and the Antarctic.
The cruise was a joint campaign of the Nansen Legacy and A-TWAIN/SIOS-InfraNor projects. Within the Nansen Legacy, the cruise contributed primarily to the work package Physical Drivers (Research Foci 1) but also to Research Foci 2 and 3. The main objective of the cruise was the recovery and deployment of the projects moorings in the Barents Sea and north of Svalbard. These data are created from the CTD data published by NMDC for the whole cruise (https://doi.org/10.21335/NMDC-2135074338). The values have not be changed.
The cruise contributed to the work package Physical Drivers (Research Foci 1) with process studies to investigate the atmospheric, oceanographic, radiative and other physical controls on sea ice and stratification, with a general aim to identify and quantify the processes that control the heat budget north of Svalbard and in the Barents Sea. These data are created from the CTD data published by NMDC for the whole cruise (https://doi.org/10.21335/NMDC-940645003). The values have not be changed.
The Nansen Legacy cruise Q1 (Q1: 1st quarter of the year) was part of the seasonal investigation of the northern Barents Sea and adjacent Arctic Basin. The cruise was conducted in March 2021, and focused on comparing the physical, chemical and biological conditions along the Nansen Legacy main transect in open waters and within the sea ice. The cruise addressed objectives of the work packages Physical drivers (Research Foci 1), Human impact (Research Foci 2) and The living Barents Sea (Research Foci 3). These data are created from the CTD data published by NMDC for the whole cruise (https://doi.org/10.21335/NMDC-1491279668). The values have not be changed.
This dataset is a collection of bacterial production measurements (rate of production of biomass expressed as carbon by prokaryotes [bacteria and archaea]) taken as part of the Nansen Legacy project (www.arvenetternansen.com), as part of the '2021 Joint Cruise 2-2' cruise (2021710). The data are collected from CTD with Niskin bottles from station NLEG35 taken on 2021-09-10T00:47:13.99Z at 86.00509696666670N and -10.69207460E.
The Nansen Legacy cruise Q2 (Q2: 2nd quarter of the year) was part of the seasonal investigation of the northern Barents Sea and adjacent Arctic Basin. The cruise was conducted during the spring period a biologically critical time window when a large part of the annual primary production occurs and focused on comparing the physical, chemical and biological conditions along the Nansen Legacy main transect in open waters and within the sea ice. The cruise addressed objectives of the work packages Physical drivers (Research Focus 1), Human impact (Research Focus 2), The living Barents Sea (Research Focus 3) and Technology and method development (Research Activity C). These data are created from the CTD data published by NMDC for the whole cruise (https://doi.org/10.21335/NMDC-515075317). The values have not be changed.
The cruise addressed objectives of the work package Physical drivers (Research Focus 1), focusing on ocean mixing and water transformation process studies in the region east of Svalbard, with particular focus on the Barents Sea Polar Front region. These data are created from the CTD data published by NMDC for the whole cruise (https://doi.org/10.21335/NMDC-1643304797). The values have not be changed.
The Winter Process Cruise aboard RV Kronprins Haakon conducted dedicated observations on processes that control the position and variability of the Polar Front in the northern Barents Sea and the distribution of Arctic and Atlantic water masses. The cruise addressed objectives of the work packages Physical drivers (Research Focus 1) and Technology and method development (Research Activity C). These data are created from the CTD data published by NMDC for the whole cruise (https://doi.org/10.21335/NMDC-814367946). The values have not be changed.
The cruise contributed to the work package Physical Drivers (Research Foci 1) with process studies to investigate the atmospheric, oceanographic, radiative and other physical controls on sea ice and stratification, with a general aim to identify and quantify the processes that control the heat budget north of Svalbard and in the Barents Sea. These data are created from the CTD data published by NMDC for the whole cruise (https://doi.org/10.21335/NMDC-940645003). The values have not be changed.
The Joint Cruise 2-1 addressed objectives of the work packages Physical drivers (Research Foci 1), Human impact (Research Foci 2) and The living Barents Sea (Research Foci 3) along the Nansen Legacy transect in open water and within the sea ice. The cruise focussed on comparing the state of the physical, chemical and biological conditions in the southern and northern parts of the study area. These data are created from the CTD data published by NMDC for the whole cruise (https://doi.org/10.21335/NMDC-2085836005). The values have not be changed.
This dataset is a collection of the acid-corrected chlorophyll A and phaeopigments measurements taken as part of the Nansen Legacy project (www.arvenetternansen.com), as part of the '2021 Joint Cruise 2-2' cruise. The data are collected from CTD with Niskin bottles from station P9 (NLEG33) taken on 2021-09-07T08:42:23.037Z at 7.08905241666667°E and 85.5089899666667°N. Both total Chlorophyll A and collected after passing through a 10µm filter are enclosed if available.
The Nansen Legacy cruise Q4 (Q4: 4th quarter of the year) was the second of in total four seasonal cruises to the northern Barents Sea and adjacent Arctic Basin. The cruise focused on comparing the state of the physical, chemical and biological conditions along the Nansen Legacy main transect in open waters and within the sea ice, addressing objectives of the work packages Physical drivers (Research Foci 1), Human impact (Research Foci2), The living Barents Sea (Research Foci 3), and Technology and method development (Research Activity C). These data are created from the CTD data published by NMDC for the whole cruise (https://doi.org/10.21335/NMDC-301551919). The values have not be changed.
The Nansen Legacy cruise Q1 (Q1: 1st quarter of the year) was part of the seasonal investigation of the northern Barents Sea and adjacent Arctic Basin. The cruise was conducted in March 2021, and focused on comparing the physical, chemical and biological conditions along the Nansen Legacy main transect in open waters and within the sea ice. The cruise addressed objectives of the work packages Physical drivers (Research Foci 1), Human impact (Research Foci 2) and The living Barents Sea (Research Foci 3). These data are created from the CTD data published by NMDC for the whole cruise (https://doi.org/10.21335/NMDC-1491279668). The values have not be changed.