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.
Green Network of Excellence Program - Arctic Climate Change Research Project
Last metadata update: 2015-05-12T00:00:00Z
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Abstract:
To clarify the degradation of permafrost after wildfires, monitoring of soil temperature and moisture for three sites with different levels of disturbance: Ward severely damaged (H), District in harm (M), Slightly damaged ward (L).Continuous (Aug. 2005- Aug. 2008) Ondotori Thermo-recorders of soil temperature at L site (right above L4).Fives depths (2, 10, 20, 30, 50 cm)
Norwegian Polar Institute’s marine database (https://doi.org/10.21334/marine-db) is organised in the following collections that contain results or metadata from seawater and sea-ice sampling:
- Darwin Core Occurrence records (quantities of an organism relative to a standard volume or area)
- Darwin Core Sampling Event metadata
- Biogeochemistry data
The occurrence (aka. abundance) data is split in the following sub-collections:
The Marine database contains metadata of all pelagic biological and biochemical sampling in addition it contains result of the main biological parameters listed below. The core of the data is from Kongsfjorden which has been sampled yearly since 1995, Rijpfjorden and the ice edge north of Svalbard but it also contains data from the Barents Sea and Arctic Canada. The background data /metadata includes; latitude, longitude, date and time, bottom depth, sampling depth, gear, project, animal group/biota and sample type. The Marine biological database contains result for the following parameters: Pigments (chlorophyll a & phaeophytin) Nutrients Phytoplankton taxonomy Microplankton taxonomy Ice algae taxonomy Zooplankton taxonomy Fatty acid (POM, zooplankton, fish, sea birds, seals) Lipid classes (POM, zooplankton, fish, seabirds, seals) We plan to also include the result of these parameters: Biological silicate Dissolved oxygen Dissolved organic carbon & total dissolved nitrogen (DOC/TDN) Particulate organic carbon & nitrogen (POC/PON) Flowcytometry Stable isotopes (POM, zooplankton, fish, seabirds, seals)
The dataset contains high resolution seismic reflection profiles from around Svalbard and northern Barents Sea. The data were collected in August 2005 with RV “Lance” using 3.5 kHz sparker (analogue and digital). The printed profiles are in storage at the Norwegian Polar Institute.
Air temperature measurements in meadows on the Varanger peninsula.
The dataset includes four different types of files and all data files are saved as ;-separated txt-files (except the readme):
* One data file per year (V_air_temperature_meadow_YEAR.txt)
* One meatadata file per year with dates when the loggers were deployed and collected (V_air_temperature_meadow_metadata_YEAR.txt)
* One coordinate file with coordinates of all sites (V_air_temperature_meadow_coordinates.txt)
* One auxiliary file with information about which sites are included in the study design (V_air_temperature_meadow_aux.txt)
* One readme file with additional information (_readme.pdf)
Ground based in situ observations of carbon_monoxide at Neuglobsow (DE0007R) using uv_fluoresc. 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_monoxide in air (mass_fraction_of_carbon_monoxide_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: ES01L, Instituto Salud Carlos III, Centro Nacional de Sanidad Ambiental, Area de Contaminacion Atmosferica, CNSA, Ctra. Majadahonda a Pozuelo Km 2, 28220 Majadahonda, Madrid, Spain, ES01L, Instituto Salud Carlos III, Centro Nacional de Sanidad Ambiental, Area de Contaminacion Atmosferica, CNSA, Ctra. Majadahonda a Pozuelo Km 2, 28220 Majadahonda, Madrid, Spain
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of high_vol_sampler at Campisabalos (ES0009R). These measurements are gathered as a part of the following projects EMEP, CAMPAIGN and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: arsenic in aerosol (mass_concentration_of_arsenic_in_dry_aerosol_particles_in _air), cadmium in aerosol (mass_concentration_of_cadmium_in_dry_aerosol_particles_in _air), chromium in aerosol (mass_concentration_of_chromium_in_dry_aerosol_particles_in _air), copper in aerosol (mass_concentration_of_copper_in_dry_aerosol_particles_in _air), lead in aerosol (mass_concentration_of_lead_in_dry_aerosol_particles_in _air), nickel in aerosol (mass_concentration_of_nickel_in_dry_aerosol_particles_in _air), zinc in aerosol (mass_concentration_of_zinc_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)., CAMPAIGN: For scientific purposes, access to the data is limited. Data will be given access to after approval from the data producer or owner.
Institutions: ES01L, Instituto Salud Carlos III, Centro Nacional de Sanidad Ambiental, Area de Contaminacion Atmosferica, CNSA, Ctra. Majadahonda a Pozuelo Km 2, 28220 Majadahonda, Madrid, Spain, ES01L, Instituto Salud Carlos III, Centro Nacional de Sanidad Ambiental, Area de Contaminacion Atmosferica, CNSA, Ctra. Majadahonda a Pozuelo Km 2, 28220 Majadahonda, Madrid, Spain
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of high_vol_sampler at Niembro (ES0008R). These measurements are gathered as a part of the following projects EMEP, CAMPAIGN and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: arsenic in aerosol (mass_concentration_of_arsenic_in_dry_aerosol_particles_in _air), cadmium in aerosol (mass_concentration_of_cadmium_in_dry_aerosol_particles_in _air), chromium in aerosol (mass_concentration_of_chromium_in_dry_aerosol_particles_in _air), copper in aerosol (mass_concentration_of_copper_in_dry_aerosol_particles_in _air), lead in aerosol (mass_concentration_of_lead_in_dry_aerosol_particles_in _air), nickel in aerosol (mass_concentration_of_nickel_in_dry_aerosol_particles_in _air), zinc in aerosol (mass_concentration_of_zinc_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)., CAMPAIGN: For scientific purposes, access to the data is limited. Data will be given access to after approval from the data producer or owner.
Institutions: ES01L, Instituto Salud Carlos III, Centro Nacional de Sanidad Ambiental, Area de Contaminacion Atmosferica, CNSA, Ctra. Majadahonda a Pozuelo Km 2, 28220 Majadahonda, Madrid, Spain, ES01L, Instituto Salud Carlos III, Centro Nacional de Sanidad Ambiental, Area de Contaminacion Atmosferica, CNSA, Ctra. Majadahonda a Pozuelo Km 2, 28220 Majadahonda, Madrid, Spain
Last metadata update: 2022-11-14T00:00:00Z
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Abstract:
Ground based in situ observations of mercury_TGM at Niembro (ES0008R) using gold_trap. These measurements are gathered as a part of the following projects CAMPAIGN, 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 : CAMPAIGN: For scientific purposes, access to the data is limited. Data will be given access to after approval from the data producer or owner., EMEP: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).
Ground cover in meadow sites.
The dataset includes three different types of files and all files (except the readme) are saved as ;-separated txt-files:
* One data file per year (_YEAR.txt)
* One coordinate file with coordinates of all sites included in the dataset (_coordinates.txt)
* One auxiliary file with information about which sites are included in the dataset and when (_aux.txt)
* One readme file with additional information about the variables included in the study design (_readme.pdf)
The dataset has a two-year embargo, older versions of the dataset are publicly available for download.
Snap trapping data of rodents on the Varanger peninsula. This dataset has data from the COAT intensive study design. Each entry corresponds to a trapped individual. Two related datasets have information on i) site-based abundances and ii) trap status, i.e. missing and closed traps.
The dataset includes four different types of files and all files are
saved as ;-separated txt-files:
* One data file per year (_YEAR.txt)
* One coordinate file with coordinates of all sites (_coordinates.txt)
* One auxiliary file with information about which sites are included in the study design (_aux.txt)
* One readme file with additional information (_readme.pdf)
The dataset has a two-year embargo, older versions of the dataset are publicly available for download.
Shrub height of thicket forming *Salix sp.* and *Betula nana* in heath sites.
The dataset includes three different types of files and all files (except the readme) are saved as ;-separated txt-files:
* One data file per year (_YEAR.txt)
* One coordinate file with coordinates of all sites included in the dataset (_coordinates.txt)
* One auxiliary file with information about which sites are included in the dataset and when (_aux.txt)
* One readme file with additional information about the variables included in the study design (_readme.pdf)
The dataset has a two-year embargo, older versions of the dataset are publicly available for download.
Shrub height of thicket forming *Salix sp.* and *Betula nana* in meadow sites
The dataset includes three different types of files and all files (except the readme) are saved as ;-separated txt-files:
* One data file per year (_YEAR.txt)
* One coordinate file with coordinates of all sites included in the dataset (_coordinates.txt)
* One auxiliary file with information about which sites are included in the dataset and when (_aux.txt)
* One readme file with additional information about the variables included in the study design (_readme.pdf)
The dataset has a two-year embargo, older versions of the dataset are publicly available for download.
Snap trapping data of rodents on the Varanger peninsula. This dataset has data from the COAT intensive study design and has data on site-based abundances. Two related datasets have information on i) trapped individuals and ii) trap status, i.e. missing and closed traps.
The dataset includes four different types of files and all files are
saved as ;-separated txt-files:
* One data file per year (_YEAR.txt)
* One coordinate file with coordinates of all sites (_coordinates.txt)
* One auxiliary file with information about which sites are included in the study design (_aux.txt)
* One readme file with additional information (_readme.pdf)
The dataset has a two-year embargo, older versions of the dataset are publicly available for download.
Abundance of vascular plants measured using point intercept frequency.
The datasets contains point frequency data (which can be converted to biomass estimates) of the following functional groups and species:
* Betula nana
* Broad leaved grasses
* Calamagrostis phragmitoides
* Deciduous dwarf shrubs
* Deciduous vascular cryptogams
* Deschampsia cespitosa
* Empetrum nigrum
* Equisetum sp
* Evergreen dwarf shrubs
* Evergreen non woody
* Green willows
* Grey willows
* Hemiparasites
* Nardus stricta
* Narrow leaved grasses
* Prostrate willows
* Rumex acetosa
* Salix herbacea
* Sedges and rushes
* Small forbs
* Tall forbs
* Vaccinium myrtillus
The dataset includes three different types of files and all files (except the readme) are saved as ;-separated txt-files:
* One data file per year (_YEAR.txt)
* One coordinate file with coordinates of all sites included in the dataset (_coordinates.txt)
* One auxiliary file with information about which sites are included in the dataset and when (_aux.txt)
* One readme file with additional information about the variables included in the study design (_readme.pdf)
The dataset has a two-year embargo, older versions of the dataset are publicly available for download.