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: PL02L, Institute of Environmental Protection - National Research Institute, IEP-NRI, Kolektorska 4, 01-692, Warsaw, Poland, PL02L, Institute of Environmental Protection - National Research Institute, IEP-NRI, Kolektorska 4, 01-692, Warsaw, Poland
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of bulk_sampler at Diabla Gora (PL0005R). 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: precipitation_amount in precip (lwe_thickness_of_precipitation_amount), mercury in precip (mass_concentration_of_mercury_in_precipitation)
License : EMEP: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).
Physical oceanographic observations were conducted during the R/TV Umitaka-Maru cruise to describe the watermass properties in the Weddell-Enderby Basin, East Antarctica. Conductivity Temperature Depth (CTD)/ Rosette Multi-Sampler (RMS) observations were completed for 23 stations from December 2007 to January 2008. Seabird SBE911plus CTD system/SBE32 RMS was used.Water samples for salinity were collected to calibrate the CTD sensors. Bottle salinity analysis was done by Autosal8400B (Guildline). Bottle salinity shows a generally good determination.
Institutions: DK01L, National Environmental Research Institute, NERI, P.O.Box 358, Fredriksborgvei 399, DK-4000 Roskilde, Denmark, DK01L, National Environmental Research Institute, NERI, P.O.Box 358, Fredriksborgvei 399, DK-4000 Roskilde, Denmark
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of sulphate_corrected at Pedersker (DK0020R) using bulk_sampler. These measurements are gathered as a part of the following projects CAMP and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: sulphate_corrected in precip (mass_concentration_of_sulphate_corrected_for_seaspray_expressed_as_sulphur_in_precipitation)
License : CAMP: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).
Japanese Antarctic Research Expedition, The Japanese-Swedish Antarctic Expedition 2007-2008
Last metadata update: 2022-07-22T00:00:00Z
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Abstract:
This dataset contains the ice thickness data recorded by ground-based radio echo sounding experiment carried out along a traverse route from Wasa Station in East Antarctica to the JASE Meeting point. The data were recorded in the joint Japanese-Swedish JASE traverse survey by NIPR (the 48th and 49th Japanese Antarctic Research Expedition (JARE48 and JARE49)) and Stockholm University. PIs of the joint survey are Shuji Fujita (NIPR, Japan) and Per Holmlund (Stockholm University, Sweden). This data is for Swedish team's way-in to the meeting point. They used a pulse-modulated VHF radar sounder with a peak transmission power of 1 kW, a center frequency of 179 MHz and a transmitter pulse width of 250 ns. Position of sites are not accurate enough because of GPS problems. Nevertheless, we publish this set of data because the data are very precious in this region of Antarctica. In future, when more data with accurate positioning data are produced, this set of data should be replaced by newer and more reliable data in terms of positioning. We infer that largest positioning error is of the order of 1 km along this part of the traverse. Possible clock errors between GPS and radar are given in the dataset. Fujita et al. (2011) and Fujita et al. (2012) are the original papers for the data. In 2021, the data were validated and corrected (Tsutaki et al. 2022, TC paper).
Japanese Antarctic Research Expedition, The Japanese-Swedish Antarctic Expedition 2007-2008
Last metadata update: 2022-07-22T00:00:00Z
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Abstract:
This dataset contains the ice thickness data recorded by ground-based radio echo sounding experiment carried out along a traverse route from Dome Fuji, the second highest dome in East Antarctica, to the JASE Meeting point along the ice sheet ridge. The data were recorded in the joint Japanese-Swedish JASE traverse survey by NIPR (the 48th and 49th Japanese Antarctic Research Expedition (JARE48 and JARE49)) and Stockholm University. PIs of the joint survey are Shuji Fujita (NIPR, Japan) and Per Holmlund (Stockholm University, Sweden). JARE used a pulse-modulated VHF radar sounder with a peak transmission power of 1 kW, a center frequency of 179 MHz and a transmitter pulse width of 500 ns. Position of sites is accurate (~20 m) using continuous GPS measurements. Fujita et al. (2011) and Fujita et al. (2012) are the original papers for the data. Later, based on validation by Tsutaki et al. (2021), a correction (+37 m) was applied to all the data. Thickness data with a number "-9999" means that bed echo could not be identified in the A-scope, which means that ice is thicker than our detection limit (from 2900 m to 3500 m depending on locations).
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 particle_number_size_distribution at Gual Pahari (IN1016R) using dmps. These measurements are gathered as a part of the following projects GAW-WDCA, EUCAARI and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: particle_number_size_distribution in aerosol (number_concentration_of_positive_ions_in_dry_aerosol_particles_in_air)
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 particle_number_size_distribution at Gual Pahari (IN1016R) using aps. These measurements are gathered as a part of the following projects GAW-WDCA, EUCAARI and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: particle_number_size_distribution in aerosol (number_concentration_of_positive_ions_in_dry_aerosol_particles_in_air)
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 filter_absorption_photometer at Gual Pahari (IN1016R). These measurements are gathered as a part of the following projects GAW-WDCA, EUCAARI and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: aerosol_absorption_coefficient in aerosol (volume_absorption_coefficient_in_air_due_to_dried_aerosol_particles)
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 nephelometer at Gual Pahari (IN1016R). These measurements are gathered as a part of the following projects GAW-WDCA, EUCAARI and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: aerosol_light_scattering_coefficient in aerosol (volume_scattering_coefficient_in_air_due_to_dried_aerosol_particles)
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 thermo at Gual Pahari (IN1016R). These measurements are gathered as a part of the following projects GAW-WDCA, EUCAARI 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), pm25_mass in pm25 (mass_concentration_of_pm2p5_ambient_aerosol_particles_in_air)
Institutions: British Antarctic Survey, British Antarctic Survey, British Antarctic Survey
Last metadata update: 2016-05-26T00:00:00Z
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Abstract:
Sample inventory data related to a field campaign of approximately 10 weeks, carried out during 2007-2008. The primary focus was sample collection, with the rest of the time being used for mapping. All of the samples taken were of rocks that were found cropping out as nunataks. The investigation took place entirely within the the Dronning-Maud Land area of East Antarctica (Norwegian Sector).
This dataset includes Geophysical Institute (GFI), University of Bergen mooring SVI200711_A data. The mooring consists of 2 inst. (instrument type:instrument number(instrument depth)):RCM7:11630(920m) RCM7:10909(1320m) . Metadata and raw/processed time series are presented as NetCDF, text and pdf(plots with statistics, calibration sheets, mooring drawing) files.
Radar profiles of the upper 50-90 m of the snowpack along the route of the Norwegian-U.S. IPY traverse of East Antarctica. The radar was run primarily as a crevasse detector, but the data has been kept for comparison with other radar data from the traverse. The scientific objectives are to investigate the spatial and temporal variability in snow accumulation over this area of Antarctica, and to validate remote sensing data.
Route
- Leg 1 (2007-2008):
- From: Troll station [-72.01, 2.53]
- To: “Camp Winter” [-86.8, 54.4]
- Leg 2 (2008-2009):
- From: South pole [-90, 0]
- Across: Recovery lakes region
- To: Troll station [-72.01, 2.53]
Due to instrument limitations the profiles are not continuous. The instrument allows a maximum file size of 64 MB, thus the profiles were interrupted for data storage every few km. Instrument settings also vary along the track.
The shallow radar measurements were made to obtain accumulation rates from the variation in depth to internal layers, and their lateral and temporal variability along the traverse route. The data were also collected for back-scatter comparison of the ground penetrating radars (GPR) and synthetic aperture radar (SAR). The overall goal of the comparison is to improve satellite- based estimations of accumulation rates.
The ice flow velocities can be estimated from the morphology of internal layering evident in shallow radar data in areas of clear vertical structures in the firn column. These kind of structures can be found at the margins of the Recovery Lakes, for example. In addition, the radar data will be used to study firn properties together with the snow pit and firn core analysis.
Route
- Leg 1 (2007-2008):
- From: Troll station [-72.01, 2.53]
- To: “Camp Winter” [-86.8, 54.4]
Instruments
- C-band radar: A frequency-modulated continuous-wave (FMCW) system built by Svein-Erik Hamran. It has a center frequency of 5.3 GHz sweeping over a bandwidth of 1 GHz. The unambiguous range in air is 67.4 m with 451 samples in the frequency domain.
- Ramac 800 and 500 MHz: RAMAC GPR device by Malå Geoscience is a commercial impulse radar that was operated with shielded 800 MHz and 500 MHz antennae. The 800 MHz antennae were used for the first part of traverse starting from Troll and ending at Site 91 in 2007/08, and the 500 MHz antennae were used from Site 91 to Camp Winter.
Dielectric profiles of a series of ice cores taken along the Norwegian-U.S. IPY traverse of East Antarctica, from Troll Station to the South Pole. The ice cores were drilled up to 90 meters deep. A DEP device is used to measure dielectic permittivity and electric conductivity along the length of the cores.Values are measured at intervals of 5 mm, thus enabling a high-resolution determination of electrical properties. Electrical properties are largely influenced by the total salt content as well as the acidity of the ice. In high accumulation areas annual-layer counting is possible, but in low accumulation areas a chronology based on comparison of DEP records with each other is required. Volcanic layers in Antarctica are well documented and have been used to date ice cores. In addition, DEP data are necessary for the calibration of shallow radar data and the conversion of two-way signal travel time to depth. Thus, our DEP measurements will aid in the interpretation of GPR data as well as in dating the ice cores. Sufficiently dated ice cores and radar layers are crucial for the determination of accumulation rates.