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.
As part of the "KROP - Kongsfjorden Rijpfjorden Observatory Programme" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. The observatories consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This dataset contains the CTD, PAR and fluorescence data from Kongsfjorden 2013-2014. Fluorescence data is given as raw voltage only, due to calibration and fouling issues. It is meant as an indication of the timing of the phytoplankton bloom, not as absolute chlorophyll a concentration. No post-recovery processing of light data (to correct for fouling) has been performed. This is the first deployment in which the AURAL acoustic listening buoy got implemented in the design.
This data set contains radar echograms acquired by the University of Alaska Fairbanks High-Frequency Radar Sounder over select glaciers in Alaska. The data are provided in HDF5 formatted files, which include important metadata for interpreting the data. Browse images are also available.
This data set is a compilation of Antarctic ice flow velocity mappings generated from pairs of panchromatic images acquired by the Operation Land Imager (OLI) aboard the Landsat 8 satellite. This effort is part of the Global Land Ice Velocity Extraction from Landsat (GoLIVE) project.
This atlas showcases Arctic communities actively involved in observing social and environmental change. It was designed to highlight the many community-based monitoring (CBM) and traditional knowledge (TK) initiatives across the circumpolar region.
This data set is a compilation of ice velocity mappings generated from pairs of Landsat 8 panchromatic images acquired from May 2013 to present covering all terrestrial permanent ice within the latitude range 82°S to 82°N that is larger than 5 km2 in area. The data are updated monthly with new images acquired by Landsat 8 that are then paired with older images acquired within 400 days of the new acquisition for the Antarctic ice sheet, 112 days for the Greenland ice sheet, and 96 days for all other glacierized areas. The data are generated by an image correlation algorithm that produces grids of ice displacement referenced to in-image rock outcrops, slow moving ice, or if lacking that, using the satellite's geo-positioning (accurate to +/- 5 m). Velocity vector grids are generated at a sample spacing of 300 m from small sub-images that are either 300 m or 600 m on a side, depending on the region. For example, ice sheet areas are mapped with 600 m x 600 m sub-images, and mountain glaciers are mapped with 300 m x 300 m sub-images. Accuracy of the velocity data varies depending on the time separation between the images, ranging between ~1 m/d per day to 0.02 m/d per day.
This data set contains magnetic field readings taken over Antarctica using the Scintrex CS-3 Cesium Magnetometer instrument. The data were collected as part of Operation IceBridge funded aircraft survey campaigns.
Ground based in situ observations of aerosol_optical_depth at Mt. Waliguan (CN0101G) using sun_tracking_filter_radiometer. These measurements are gathered as a part of the following projects GAW-WDCA and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: aerosol_optical_depth in aerosol (atmosphere_optical_thickness_due_to_ambient_aerosol_particles), sample_count in aerosol
Institutions: ES04L, Ministerio de Medio Ambiente, DG de Calidad y Evaluacion Ambiental, Plaza de San Juan de la C, ruz, s/n, 28071 Madrid, Spain, ES04L, Ministerio de Medio Ambiente, DG de Calidad y Evaluacion Ambiental, Plaza de San Juan de la C, ruz, s/n, 28071 Madrid, Spain
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of wind_speed at Cabo de Creus (ES0010R) using aws. 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: wind_speed in met (wind_speed)
License : EMEP: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).
Institutions: ES04L, Ministerio de Medio Ambiente, DG de Calidad y Evaluacion Ambiental, Plaza de San Juan de la C, ruz, s/n, 28071 Madrid, Spain, ES04L, Ministerio de Medio Ambiente, DG de Calidad y Evaluacion Ambiental, Plaza de San Juan de la C, ruz, s/n, 28071 Madrid, Spain
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of precipitation_amount at Els Torms (ES0014R) using wet_only_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: precipitation_amount in precip (lwe_thickness_of_precipitation_amount)
License : EMEP: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).
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: 2023-12-06T00:00:00Z
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Abstract:
Ground based in situ observations of ozone at Ulborg (DK0031R) using uv_abs. 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: ozone in air (mole_fraction_of_ozone_in_air), ozone in air (mass_concentration_of_ozone_in_air)
Ground based in situ observations of ammonia at Zingst (DE0009R) using denuder. These measurements are gathered as a part of the following projects HELCOM, EMEP and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: ammonia in air (mass_concentration_of_ammonia_expressed_as_nitrogen_in_air)
License : HELCOM: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy)., EMEP: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).
Institutions: FR06L, SGS Multilab Evry, DSO TRAPPES BP 202, FRANCE, FR06L, SGS Multilab Evry, DSO TRAPPES BP 202, FRANCE
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of wet_only_sampler at Peyrusse Vieille (FR0013R). 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: ammonium in precip (mass_concentration_of_ammonium_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), magnesium in precip (mass_concentration_of_magnesium_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)
License : EMEP: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).
Institutions: ES04L, Ministerio de Medio Ambiente, DG de Calidad y Evaluacion Ambiental, Plaza de San Juan de la C, ruz, s/n, 28071 Madrid, Spain, ES04L, Ministerio de Medio Ambiente, DG de Calidad y Evaluacion Ambiental, Plaza de San Juan de la C, ruz, s/n, 28071 Madrid, Spain
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of wind_direction at Penausende (ES0013R) using aws. 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: wind_direction in met (wind_from_direction)
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 wet_only_sampler at De Zilk (NL0091R). 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), 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)
License : EMEP: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).
Institutions: NO01L, Norwegian Institute for Air Research, NILU, Instituttveien 18, 2007, Kjeller, Norway, NO01L, Norwegian Institute for Air Research, NILU, Instituttveien 18, 2007, Kjeller, Norway
Last metadata update: 2021-10-21T00:00:00Z
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Abstract:
Ground based in situ observations of arsenic at Svanvik (NO0047R) using high_vol_sampler. These measurements are gathered as a part of the following projects NILU 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)
License : NILU: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).