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.
- Meiofauna_data_v2017-12-11.xlsx contains all data in separate sheets. The information here is from the “Info” tab.
- Info.csv contains the same information than listed here.
- Columns.csv: Column explanation for datasheets.
- References.csv: Reference list for the dataset.
- Original.csv: Minimally modified non-transformed original data. Used only as a reference to the original data and in quality checks.Relative Ciliata and Rotifera abundances were transformed to estimated absolute abundances (see “Columns” sheet). Some entries, taxa, and ice-cores were removed due to unclarities.
- Transformed.csv: Abundance values transformed to ind/m2 values. Ice-core sections not summed up.
- Compiled.csv: Ice-core sections summed up for each ice-core. Used in the SAMB report.
- Cut10cm.csv: Bering Sea, Barrow, and N-ICE data. Only bottom 10 cm of ice-cores are included. If all of bottom 10 cm was not available, less than that was included. Used in Fig 3, Fig 4 and Fig 6 in the Ecology & Evolution paper. Subset Sec == “bottom 10 cm” before usage for comparison purposes. Note that Fig 3 and 4 in the paper have been created after excluding all ice-core sections other than “bottom 10 cm”.
- Article.all.csv: All data (including RAW columns) for the manuscript. Note that GRAND SUM columns are derived from RAW columns (i.e. the dataset contains duplicates). Used in Table 2 in the Ecology & Evolution paper. This is the most comprehensive and checked dataset.
- Article.groups.csv: Only GRAND SUM abundance columns for the manuscript. Used in Fig 1, Fig 5 and in some statistical tests in the Ecology & Evolution paper.
- Article.per.csv: Percentage data by ice-core for GRAND SUM columns. Used in Fig 7 in the Ecology & Evolution paper.
- Wholecore.csv: Data where the entire ice-core was sufficiently sectioned to enable examining depth distribution of taxa within ice-cores. Absolute values.
- Wholecore.grp.csv: Same than “Wholecore.csv” but presents percentages for each ice-core by group. Used in Fig 2 in the Ecology & Evolution paper.
If you are in doubt which dataset to pick, use “Article_all.csv”. This is the most comprehensive, checked and least summarized dataset.
The data set presents keyed and translated from Norwegian daily observations of sea ice and icebergs conducted onboard research vessel “Norvegia” (D/S Norvegia) during its navigation around Antarctica in the austral summer of 1930-1931. The data covers the period of 20.10.1930 to 09.02.1931.
Quality
See details in the attached file “SeaIce_notes_DS_Norvegia_logbook_1930_1931.docx”
The data set contains information on weather, sea state, sea ice and icebergs recovered from the logbooks, catch books, notebooks and meteorological journals from a number of vessels during their voyages to the Southern Ocean and Antarctica. This work builds on the earlier phase of the project “Historical sea ice data from the Southern Ocean” aimed at recovering climate and sea ice data from Norwegian whaling vessels (Divine et al., 2021). The extended database comprises a collection of 27 documents of various types covering the period of 1932-1940 was keyed and translated. The documents are associated with vessels that was operated by Norwegian whaling companies or British companies with Norwegian crews. Details on data sources, methods used and basic analysis conducted on the data are found in the attached project report file. Note that this is an updated version (V2) of the dataset from November 2023. For more details on the data structure and individual files please see the attached document “Divine_et_al_AntarcticLogs_v2_updateNov2023.pdf”. Data are stored as zip archive in “Divine_et_al_Antarctic_logbooks_documents_CSV_IMMA1_compatible_format_v2_Nov2023.zip” (single file per document) and “Divine_et_al_data_publication_Antarctic_logbooks_v2_Nov2023_final.xlsx” (all data in one xlsx file)
The mass balance of a glacier is the difference between accumulation in winter and ablation in summer, and is thus a measure of whether the glacier as a whole is increasing or shrinking. It is interesting to monitor mass balance because melting of glaciers can contribute to sea-level rise. Glaciers also influence the local climate and the conditions for fauna and flora in Svalbard. The mass balance is primarily dependent upon the precipitation in winter and the temperature in summer. The height above the sea is also important.
The monitoring of the mass balance of four glaciers and glacier complexes is reported here: Austre Brøggerbreen (since 1967), Midtre Lovénbreen (since 1968), Kongsvegen (since 1987) and Kronebreen/Holtedalsfonna (since 2002). All these glaciers are located near Ny-Ålesund on Vest-Spitsbergen.
The archipelago of Svalbard presently contains approximately 33,200 km2 of glaciers, with a large number of small valley glaciers as well as large areas of contiguous ice fields and ice caps. While a first glacier inventory was compiled in 1993, there has not been a readily available digital version. Here we present a new digital glacier database, which will be available through the GLIMS project. Glacier outlines have been created for the years 1936, 1966-71, 1990, and 2001-2010. For most glaciers, outlines are available from more than one of these years. A complete coverage of Svalbard is available for the 2001-2010 dataset. Glacier outlines were created using cartographic data from the original Norwegian Polar Institute topographic map series of Svalbard as basis by delineating individual glaciers and ice streams, assigning unique identification codes relating to the hydrological watersheds, digitizing center-lines, and providing a number of attributes for each glacier mask. The 2001-2010 glacier outlines are derived from orthorectified satellite images acquired from the SPOT-5 and ASTER satellite sensors. In areas where coverage for all time periods is available, the overwhelming majority of glaciers are observed to be in sustained retreat over the period from 1936-2010.
This study was conducted in a collaboration between the Department of Geoscience, University of Oslo, and the Norwegian Polar Institute, it was supported by the European Space Agency (ESA) through the projects Glaciers_CCI (4000101778/10/I-AM) and Cryoclim, which is also supported by the Norwegian Space Centre.
The dataset contains high resolution seismic reflection profiles from the inner part of Kongsfjorden, printed on paper, with selected profiles photocopied. The profiles were taken in summer 1974 during an investigation into glacial processes and the glacial history of Svalbard by G.S.Boulton. There was no attempt to systematically cover the whole of Kongsfjorden but to establish some profiles in what were judged to be critical or representative locations. It was hoped that the profiling would provide a seismic stratigraphy.
The dataset and data collection methods are described in the attached data report. The printed profiles are in storage at the Norwegian Polar Institute (geology archive).
Quality
The profiling system was based on a multi-electrode sparker. It was an analogue system with real time display of the profiling results, and no recording of the data to enable post acquisition processing. Adjustments to get optimum quality had to be done whist operating in the field situation, sometimes a quite difficult - and frustrating - task. Recording parameters could be quite sensitive.
Institutions: FI01L, Finnish Meteorological Institute, FMI, Atmospheric Composition Unit, Erik Palménin aukio, FI-00560, Helsinki, Finland, FI01L, Finnish Meteorological Institute, FMI, Atmospheric Composition Unit, Erik Palménin aukio, FI-00560, Helsinki, Finland
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of bulk_sampler at Sodankylä (FI0005R). These measurements are gathered as a part of the following projects OECD and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: precipitation_amount in precip (lwe_thickness_of_precipitation_amount), precipitation_amount_off in precip (mass_concentration_of_precipitation_amount_off_in_precipitation), acidity in precip (mass_concentration_of_acidity_in_precipitation), calcium in precip (mass_concentration_of_calcium_in_precipitation), pH in precip (mass_concentration_of_pH_in_precipitation), sodium in precip (mass_concentration_of_sodium_in_precipitation), sulphate_corrected in precip (mass_concentration_of_sulphate_corrected_for_seaspray_expressed_as_sulphur_in_precipitation)
License : OECD: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).
Institutions: SE01L, Swedish Environmental Research Institute, IVL, P.O.Box 47086, S-402 58 GÖTEBORG, Sweden, SE01L, Swedish Environmental Research Institute, IVL, P.O.Box 47086, S-402 58 GÖTEBORG, Sweden
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of bulk_sampler at Ryda Kungsgård (SE0004R). These measurements are gathered as a part of the following projects OECD and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: precipitation_amount in precip (lwe_thickness_of_precipitation_amount), acidity in precip (mass_concentration_of_acidity_in_precipitation), calcium in precip (mass_concentration_of_calcium_in_precipitation), sulphate_total in precip (mass_concentration_of_sulphate_total_in_precipitation)
License : OECD: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).
Institutions: HU01L, Hungarian Meteorological Service, OMSZ, Unit of Analysis on Ambient Air, P.O.Box 39, 1675, Budapest, Hungary, HU01L, Hungarian Meteorological Service, OMSZ, Unit of Analysis on Ambient Air, P.O.Box 39, 1675, Budapest, Hungary
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of sulphate_total at K-puszta (HU0002R) using filter_1pack. 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: sulphate_total in aerosol (mass_concentration_of_total_sulphateexpressed_as_sulphur_in_dry_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).
Institutions: GB02L, AEA Technology, National Environmental Techn. Centre, Culham Abington, OXFORDSHIRE OX14 3DB, United Kingdom, GB02L, AEA Technology, National Environmental Techn. Centre, Culham Abington, OXFORDSHIRE OX14 3DB, United Kingdom
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of sulphate_total at Stoke Ferry (GB0004R) using filter_1pack. 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: sulphate_total in aerosol (mass_concentration_of_total_sulphateexpressed_as_sulphur_in_dry_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).
Institutions: NL01L, Rijks institut voor volksgezondheid en milieuhygiene, RIVM, Antoine van Leeuwenhoeklaan 9, Postbus 1, NL-3720 BA BILTHOVEN, The Netherlands, NL01L, Rijks institut voor volksgezondheid en milieuhygiene, RIVM, Antoine van Leeuwenhoeklaan 9, Postbus 1, NL-3720 BA BILTHOVEN, The Netherlands
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of bulk_sampler at Witteveen (NL0002R). These measurements are gathered as a part of the following projects OECD and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: precipitation_amount in precip (lwe_thickness_of_precipitation_amount), precipitation_amount_off in precip (mass_concentration_of_precipitation_amount_off_in_precipitation), acidity in precip (mass_concentration_of_acidity_in_precipitation), magnesium in precip (mass_concentration_of_magnesium_in_precipitation), pH in precip (mass_concentration_of_pH_in_precipitation), sodium in precip (mass_concentration_of_sodium_in_precipitation), sulphate_corrected in precip (mass_concentration_of_sulphate_corrected_for_seaspray_expressed_as_sulphur_in_precipitation)
License : OECD: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).
Institutions: CH01L, Swiss Federal Laboratories for Materials Science and Technology, EMPA, Section Air Pollution, Überlandstrasse 133, 8600, Dübendorf, Switzerland, CH01L, Swiss Federal Laboratories for Materials Science and Technology, EMPA, Section Air Pollution, Überlandstrasse 133, 8600, Dübendorf, Switzerland
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of susp_part_matter at Jungfraujoch (CH0001G) using high_vol_sampler. 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: susp_part_matter in aerosol (mass_concentration_of_suspended_particulate_matter_in_dry_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).
Ground based in situ observations of carbon_dioxide at Westerland (DE0001R) using IR_abs. These measurements are gathered as a part of the following projects GAW-WDCGG-node, EMEP and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: carbon_dioxide in air (mass_fraction_of_carbon_dioxide_in_air)
License : GAW-WDCGG-node: , EMEP: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).
Institutions: SU01L, E.K.Fedorov Institute of Applied Geophysics, 107258 Moscow, Glebovskaya 20b, Soviet Union, SU01L, E.K.Fedorov Institute of Applied Geophysics, 107258 Moscow, Glebovskaya 20b, Soviet Union
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of sulphate_total at Nida (LT0003R) using filter_1pack. 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: sulphate_total in aerosol (mass_concentration_of_total_sulphateexpressed_as_sulphur_in_dry_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).
Ground based in situ observations of sulphur_dioxide at Deuselbach (DE0004R) using abs_solution. These measurements are gathered as a part of the following projects OECD and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: sulphur_dioxide in air (mass_concentration_of_sulphur_dioxide_expressed_as_sulphur_in_air)
License : OECD: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).