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: Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2023-10-26T11:47:12Z
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Abstract:
Quality controlled timeseries from Norwegian weather station 0-578-0-99754. Data are climate consistent following a number of automated and manual quality control routines.
This dataset includes Geophysical Institute (GFI), University of Bergen mooring FSC199510_A data. The mooring consists of 1 inst. (instrument type:instrument number(instrument depth)):RCM8S:10069(998m) . Metadata and raw/processed time series are presented as NetCDF, text and pdf(plots with statistics, calibration sheets, mooring drawing) files.
This dataset includes Geophysical Institute (GFI), University of Bergen mooring FR_199510 data. The mooring consists of 1 inst. (instrument type:instrument number(instrument depth)):RCM7:10067(1749m) . Metadata and raw/processed time series are presented as NetCDF, text and pdf(plots with statistics, calibration sheets, mooring drawing) files.
Twenty-seven ringed seals (Phoca hispida) and 18 harp seals (P. groenlandica) were collected for diet analysis along the ice edge in the Barents Sea to investigate possible niche overlap between these 2 seal species. The diet analysis is based on contents from stomachs and intestines. A resource availability survey was conducted concurrently based on an echo survey combined with demersal and pelagic trawling. This survey showed that the potential prey biomass was dominated by pelagic crustaceans (99% of total biomass) - principally Themisto libellula and Thyssanoessa spp. Despite the prevalence of these crustaceans both seal species showed a strong preference for fish of various species, which constituted only 1% of the biomass in the area. The most common fish in their diet was polar cod Boreogadus saida, which had a Manly's prey preference index of 0.87 for ringed seals and 0.42 for harp seals. Pianka's niche overlap index for the 2 seal species in this area was 0.985, indicating an almost complete niche overlap. However, harp seals prey on significantly larger polar cod than ringed seas, and the larger cod were distributed in deeper water than smaller cod. Thus it appears that the 2 seal species exploit different fractions of the same resource.
This dataset includes Geophysical Institute (GFI), University of Bergen mooring SVI199510_A data. The mooring consists of 3 inst. (instrument type:instrument number(instrument depth)):RCM7:11227(100m) RCM7:9994(300m) RCM7:11226(1023m) . Metadata and raw/processed time series are presented as NetCDF, text and pdf(plots with statistics, calibration sheets, mooring drawing) files.
This dataset includes Geophysical Institute (GFI), University of Bergen mooring SVI199510_C data. The mooring consists of 3 inst. (instrument type:instrument number(instrument depth)):RCM7:10007(143m) RCM4:6796(343m) RCM4:6799(491m) . Metadata and raw/processed time series are presented as NetCDF, text and pdf(plots with statistics, calibration sheets, mooring drawing) files.
This dataset includes Geophysical Institute (GFI), University of Bergen mooring SVI199510_B data. The mooring consists of 3 inst. (instrument type:instrument number(instrument depth)):RCM7:11247(116m) RCM7:10801(316m) RCM7:10354(712m) . Metadata and raw/processed time series are presented as NetCDF, text and pdf(plots with statistics, calibration sheets, mooring drawing) files.
Institutions: CZ01L, Czech Hydrometeorological Institute, Na Sabatce 17, CZ-14306 PRAHA 4, Czech Republic, CZ01L, Czech Hydrometeorological Institute, Na Sabatce 17, CZ-14306 PRAHA 4, Czech Republic
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of pm10_mass at Kosetice (NOAK) (CZ0003R) using radiometric. These measurements are gathered as a part of the following projects EMEP and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: pm10_mass in pm10 (mass_concentration_of_pm10_ambient_aerosol_particles_in_air)
License : EMEP: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).
The dataset includes Institute of Marine Research data of the coastal survey ("Kysttokt") from 1995 to 2020.
The dataset is composed of the coastal survey stations ("Kys_stations_clean") and the species caught ("Kys_species_clean")
Ground based in situ observations of mercury_TGM at Mace Head (IE0031R) using Hg_mon. These measurements are gathered as a part of the following projects EMEP and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: mercury_TGM in air (mass_concentration_of_total_gaseous_mercury_in_air)
License : EMEP: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).
This data set contains soil temperature and soil moisture from 17 sites in Alaska. Temporal coverage varies by station; the earliest record is from September 1995, and the latest is from August 2001. Data from individual stations are available in tab-delimited ASCII text files. An Excel spreadsheet contains the same data compiled together in a single file. NSIDC currently provides these summary data via ftp; the full soil temperature and moisture data set is available from Ron Paetzold, USDA.
Ground based in situ observations of particle_number_concentration at Sable Island (CA0101R) using cpc. These measurements are gathered as a part of the following projects NOAA-ESRL, GAW-WDCA and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: particle_number_concentration in aerosol (number_concentration_of_particles_in_dry_aerosol_particles_in_air)
This dataset includes Geophysical Institute (GFI), University of Bergen mooring SV_199508_B data. The mooring consists of 5 inst. (instrument type:instrument number(instrument depth)):RCM7:11227(2m) RCM7:10007(10m) RCM7:11247(30m) RCM4:6796(70m) RCM4:6799(150m) . Metadata and raw/processed time series are presented as NetCDF, text and pdf(plots with statistics, calibration sheets, mooring drawing) files.
This dataset includes Geophysical Institute (GFI), University of Bergen mooring SV_199508_A data. The mooring consists of 5 inst. (instrument type:instrument number(instrument depth)):RCM7:9994(2m) RCM7:9708(10m) RCM7:11226(30m) RCM7:10354(70m) RCM7:10801(150m) . Metadata and raw/processed time series are presented as NetCDF, text and pdf(plots with statistics, calibration sheets, mooring drawing) files.
This report is the reconnaissance specific snow and ice research in Severnaya Zemlya that was carried out in cooperation with Arctic and Antarctic Research Institute (AARI) Russia on August 1995 and July 1996.