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: 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 low_vol_sampler at Kollumerwaard (NL0009R). 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: calcium in aerosol (mass_concentration_of_calcium_in_dry_aerosol_particles_in _air), magnesium in aerosol (mass_concentration_of_magnesium_in_dry_aerosol_particles_in _air), sodium in aerosol (mass_concentration_of_sodium_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).
This data set includes the meteorological observations at a Poker Flat Research Range of University of Alaska, Fairbanks, a sparse evergreen needleleaf forest site in interior Alaska, also known as the AmeriFlux US-Prr site. The details of the data are summarized in the document PFRR_met_data_ver6.pdf.
The data shows a modelled distribution of seabirds in open sea, based on a two-step model on transect counts of seabirds in Norwegian waters in 10x10 square kilometre resolution. The maps consist of 10x10 km2 grid and shows predicted abundance of the species based on two-step analysis (see Data Analysis) of data available over the distribution of seabirds in Norwegian and adjacent sea areas (see Dataset) in summer season. Along with the maps we also present uncertainty in predictions that 95% confidence intervals and standard error. The confidence intervals were not possible to define at very low densities. It is important to note that uncertainty does not allow for systematic errors caused by differences in detectability (see Methods). Conspicuous species that often follows after the vessel is systematically overestimated. This is especially true species fulmars, kittiwakes, herring gulls, black-backed gulls and gull. Small dark species diver is probably equivalent underestimated. This is especially auks: auk, puffin, razorbills, murres and guillemots. Abundance estimates should be regarded as indexes.
Indices of haddock by age calculated using the StoX software (Johnsen et al. 2019), and the strata system and methods described in Johannesen et al. (2019). The input data is from the Barents Sea NOR-RUS ecosystem cruise in autumn (survey report ref)
Indices of cod by age calculated using the StoX software (Johnsen et al. 2019), and the strata system and methods described in Johannesen et al. (2019). The input data is from the Barents Sea NOR-RUS ecosystem cruise in autumn (survey report ref)
The data shows a modelled distribution of seabirds in open sea, based on a two-step model on transect counts of seabirds in Norwegian waters in 10x10 square kilometre resolution. The maps consist of 10x10 km2 grid and shows predicted abundance of the species based on two-step analysis (see Data Analysis) of data available over the distribution of seabirds in Norwegian and adjacent sea areas (see Dataset) in autumn season. Along with the maps we also present uncertainty in predictions that 95% confidence intervals and standard error. The confidence intervals were not possible to define at very low densities. It is important to note that uncertainty does not allow for systematic errors caused by differences in detectability (see Methods). Conspicuous species that often follows after the vessel is systematically overestimated. This is especially true species fulmars, kittiwakes, herring gulls, black-backed gulls and gull. Small dark species diver is probably equivalent underestimated. This is especially auks: auk, puffin, razorbills, murres and guillemots. Abundance estimates should be regarded as indexes.
The survey indices by age group for bottom trawl and acoustic estimates for haddock from the winter survey (January-March) in the Barents Sea are calculated as described in Mehl et al. 2016 (bottom trawl) and Mehl et al. 2018 (acoustic). Mean length and weight at age is also calculated. Updated data series are provided in the annual survey reports (e.g. Mehl et al. 2019). The series go back to 1981, but StoX estimates go back only to 1994. The survey has been a Joint Norwegian-Russian one from 2000 onwards except in the years 2006, 2007 and 2017.
The survey area is divided into eight main areas and 26 strata. In 2014, the investigated area was enlarged by three new strata in northwest, 24-26. These strata are, however, not included in the standard calculations of indices. Note also that prior to 1994, the area covered was smaller and no adjustments have been made for that. In the early period (1981-1995) there were also some gear changes, for which adjustments have been made, these changes are also described in the reports referred to.
In 1997, 1998 and 2007 only the Norwegian EEZ (NEZ) and parts of the Svalbard area (S) was covered. The indices for cod and haddock have therefore been raised to also represent the Russian EEZ (REZ) (Mehl et al. 2016, 2018).
In 2006, there was not a complete coverage in southeast due to restrictions. The observations in the partially covered strata 7 were extrapolated to the full strata, and the observations in the partially covered strata 13 were extrapolated to the same area as covered in 2005. In 2012 the coverage was incomplete in the eastern areas, and the cod and haddock swept area estimates within the covered area were raised by the “index ratio by age” observed for the same area in 2008-2011 (ICES 2012). The scaling factor (“index ratio”) for estimating adjusted total from <Total – area D’> was the average ratio by age for Total/(Total – area D’) in the years 2008-2011 (Aglen et al. 2012).
In 2017, the Norwegian vessel was not allowed to operate south of 70º 10’ N and west of 41º 00 º E, and no Russian vessel participated in the survey. Only a small part of strata 7 was covered, and strata 13, 15, 17 and 20 were not covered. The cod, haddock, Greenland halibut and beaked redfish swept area estimates and cod and haddock acoustic estimates within the covered area were raised following the same procedure as for 2012. The scaling factor for estimating adjusted total from <Total –strata 7 > was the average ratio by age for Total/(Total – (strata 7+13+15+17+20)) swept area indices in the years 2014-2016.
All these adjustments are included in the StoX projects used for the calculations.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from BARDUFOSS
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from KONGSOYA
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from HEKKINGEN LH
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from HORNSUND
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from JAN MAYEN
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from NY-ALESUND
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.