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 and phrases embedded in quotation marks. Logical operators include AND, OR and NOT. Remember to add space around operators. Text strings that are not quoted are trated as separate words and will match any of the words (i.e. assuming the OR operator). E.g. in order to find WMO synoptic weather station data from Verlegenhuken use the search phrase: [synop AND verlegenhuken]. 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.
Collections
Collections allows the user to search in subsets of the existing catalogue. The collections are primarily data management projects that have been incorporated in the ADC catalogue after the project has ended. In this context the ADC is the long term access solution for these data. The collections currently served through ADC include (datasets may belong to multiple data collections):
ADC is the full collection of this service CC is the CryoClim collection
In order to search a specific data collection select that collection. If no data collection is selected all collections are searched.
AeN are data related to the Nansen Legacy project and are better explored through the SIOS Data Access Point using the collection defined there which is available through this URL.
SIOS, InfraNOR, SIOSCD, SIOSAP, SESS_* are collections related to SIOS. These are better explored through the SIOS Data Access Portal
Some cleaning is pending between InfraNOR and SIOSIN, for some of the SESS collections.
Citation of data and service
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)
The information required to properly cite a dataset is normally provided in the discovery metadata the datasets.
If you use data retrieved through this portal, please acknowledge the Norwegian Meteorological Institute/Arctic Data Centre.
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).
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 line in the vicinity of the JASE meeting point in East Antarctica. 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). 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 recorded based on GPS with errors within 20 m. 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).
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.
This dataset contains the ice thickness data recorded by ground-based radio echo sounding experiment carried out along traverse route from the JASE Meeting point to Dome Fuji, the second highest dome in East Antarctica,. 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).
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 the Kohnen Station toward Svea Station in East Antarctica. 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). 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 recorded based on GPS with errors within 20 m. 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 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).
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 high_vol_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: benz_a_anthracene in pm10 (mass_concentration_of_benz_a_anthracene_in_pm10_in_air), benzo_a_pyrene in pm10 (mass_concentration_of_benzo_a_pyrene_in_pm10_in_air), benzo_b_fluoranthene in pm10 (mass_concentration_of_benzo_b_fluoranthene_in_pm10_in_air), benzo_k_fluoranthene in pm10 (mass_concentration_of_benzo_k_fluoranthene_in_pm10_in_air), dibenzo_ah_anthracene in pm10 (mass_concentration_of_dibenzo_ah_anthracene_in_pm10_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: 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 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: 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).
Institutions: JP02L, Japan Meteorological Agency, JMA, Global Environment and Marine Department, 1-3-4 Ootemachi, Chiyoda-ku, 1008122, Tokyo, Japan, JP02L, Japan Meteorological Agency, JMA, Global Environment and Marine Department, 1-3-4 Ootemachi, Chiyoda-ku, 1008122, Tokyo, Japan
Last metadata update: 2021-12-02T00:00:00Z
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Abstract:
Ground based in situ observations of ozone at Yonaguni (JP1029R) using uv_abs. These measurements are gathered as a part of the following projects GAW-WDCRG and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: ozone in air (mole_fraction_of_ozone_in_air), ozone in air (mass_concentration_of_ozone_in_air), ozone in air (mole_fraction_of_ozone_in_air), ozone in air (mass_concentration_of_ozone_in_air)
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 inden_123cd_pyrene at Diabla Gora (PL0005R) 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: inden_123cd_pyrene in pm10 (mass_concentration_of_inden_123cd_pyrene_in_pm10_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: 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: PT01L, Dir. Reg. do Amb. Rec. Naturais do Alentejo, Laboratorio de Santo Andre, Apartado 85, P-7501 SANTO ANDRE CODEX, Portugal, PT01L, Dir. Reg. do Amb. Rec. Naturais do Alentejo, Laboratorio de Santo Andre, Apartado 85, P-7501 SANTO ANDRE CODEX, Portugal
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of wet_only_sampler at Angra do Heroismo (PT0010R). 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: ammonium in precip (mass_concentration_of_ammonium_in_precipitation), cadmium in precip (mass_concentration_of_cadmium_in_precipitation), calcium in precip (mass_concentration_of_calcium_in_precipitation), chloride in precip (mass_concentration_of_chloride_in_precipitation), conductivity in precip (conductivity_in_precipitation), copper in precip (mass_concentration_of_copper_in_precipitation), lead in precip (mass_concentration_of_lead_in_precipitation), magnesium in precip (mass_concentration_of_magnesium_in_precipitation), manganese in precip (mass_concentration_of_manganese_in_precipitation), nickel in precip (mass_concentration_of_nickel_in_precipitation), nitrate in precip (mass_concentration_of_nitrate_in_precipitation), pH in precip (mass_concentration_of_pH_in_precipitation), potassium in precip (mass_concentration_of_potassium_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), sulphate_total in precip (mass_concentration_of_sulphate_total_in_precipitation), zinc in precip (mass_concentration_of_zinc_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).
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)