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.
Solar irradiance transmitted through snow and sea ice was measured along transects under undeformed land-fast sea ice off Barrow, Alaska. The objective was to quantify seasonal evolution and spatial variability of light transmittance through snow and sea ice. Along with the optical measurements, snow depth, ice thickness, and freeboard were recorded, and ice cores were analyzed for Chlorophyll-a and particulate matter. Transects were measured at the same site prior to the pooling of surface meltwater, in March, May, and June 2010, covering a total length of 172 m. The spatial variability of transmitted photosynthetically active radiation (PAR) was found to decrease throughout the season, from highest variability in March to similar variability in May and June. Transmittance of PAR increased from between 0.1 and 0.2 % in March and May to about 4 % in June, a thirtyfold increase as a result of partial snow melt. Hence, the seasonal evolution of transmittance through sea ice exceeded the spatial variability. Spatial and temporal variability were associated with variations in snow depth and snow optical properties. More comprehensive under-ice radiation measurements are needed for a more generalized and large-scale understanding of the under-ice energy budget for physical, biogeochemical applications.
Data from: Pelagic Ecosystem Characteristics Across the Atlantic Water Boundary Current From Rijpfjorden, Svalbard, to the Arctic Ocean During Summer (2010–2014)
The dataset contains six sub-datasets: CTD, Biogeochemistry, Carbonate, Phytoplankton abundance, Phytoplankton biomass, Zooplankton abundance. The datasets are published in Hop et al. 2019 “Pelagic Ecosystem Characteristics across the Atlantic Water Boundary Current from Rijpfjorden, Svalbard, to the Arctic Ocean During Summer (2010-2014)”.
Quality
The dataset is compiled in 8 files:
CTD data.csv (to be included)
Biogeochemistry data.csv contains metadata and biogeochemistry data. Columns: id = row name; station= station name; date = date in dd-mm-yyyy hh:mm format; longitude = longitude as decimal degrees (WGS84); latitude = latitude as decimal degrees (WGS84); bottom_depth=bottom depth in meters; distance= distance from inner part of the part in km; depth=sampling depth in m; NOx =Nitrate (NO3)+ Nitrite (NO2) in mmol m-3 ; PO4= Phosphate (PO4) in mmol m-3; Si(OH)4=Silicate in mmol m-3; chlorophyll_a= chlorophyll a in mg m-3 & phaeophytin= phaeophytin in mg m-3
Carbonate data.csv (to be included)
Phytoplankton abundance data.csv contains abundance data of major protist taxa in cells m-3. Metadata: station=station name; year=year; depth=sampling depth; distance= distance from inner part of the part of the fjord in km Major protist taxa: Diatoms; Dinoflagellates; Ciliate; Prymnesiophytes; Flagellates indet.; Other (in cells m-3)
Phytoplankton biomass data.csv contains biomass data of major protist taxa in mg m-3. Metadata: station=station name; year=year; depth=sampling depth; distance= distance from inner part of the part of the fjord in km Major protist taxa: Diatoms; Dinoflagellates; Ciliate; Prymnesiophytes; Flagellates indet.; Other (in cells m-3)
Zooplankton data.csv contains zooplankton abundance data in individuals per cubic meter. The columns of the dataset consist of species and stage codes specified in the species metadata, while the rows consist of samples indicate in the sample metadata.
Zooplankton metadata.csv contains row metadata for zooplankton abundance. Columns: id = row name in zooplankton abundance data; expedition = expedition/cruise name; station = station name; sample_name = internal sample name for backwards compatibility; longitude = longitude as decimal degrees (WGS84); latitude = latitude as decimal degrees (WGS84); date = date in dd-mm-yyyy hh:mm format; bottom_depth=bottom depth in meters; from = depth in meters where the MultiNet opened ; to = depth in meters where the MultiNet closed; salinity = salinity in PSU; temperature= temperature in °C; distance= distance from inner part of the part in km & comment = specific comments concerning the sample
Zooplankton species list.csv contains column metadata for zooplankton abundance. Columns: id = column name in zooplankton abundance data; species = scientific taxa name; stage = life stage; length = length group; origin = the assumed origin of species (Atlantic, Arctic, Both or Unknown); biomass_conv = abundance to biomass conversion factor, see Hop et al. 2019; phylum, class & order= taxonomic rank according to WoRMS.
Subsea landscapes of Norwegian ocean areas based on low resolution bathymetry. The map covers areas of 2.4 mill. km2 and is made for presentation in small scale; 1:500 000 for the Barents Sea and the Mid-Norwegian shelf, and 1:1 000 000 for other Norwegian ocean areas. The map gives a good regional picture of terrain variations in areas that have so far been little studied.
Equivalent black carbon from aerosol absorption coefficient at 660nm measured using a Particle Soot Absorption Photometer (PSAP), manufactured by Radiance Research. MAC equal to 10 m^2/g.
Institutions: NO01L, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, 2007, Kjeller, Norway, NO01L, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, 2007, Kjeller, Norway
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of nitric_acid at Birkenes (NO0001R) using filter_3pack. These measurements are gathered as a part of the following projects CAMP, EMEP, NILU and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: nitric_acid in air (mass_concentration_of_nitric_acid_expressed_as_nitrogen_in_air)
License : CAMP: 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)., NILU: 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 aerosol_optical_depth at Sodankylä (FI0005R) 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: NO01L, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, 2007, Kjeller, Norway, NO01L, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, 2007, Kjeller, Norway
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of dinitrogen_monoxide at Zeppelin mountain (Ny-Ålesund) (NO0042G) using GC-ECD. These measurements are gathered as a part of the following projects EMEP, NILU and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: dinitrogen_monoxide in air (mass_fraction_of_dinitrogen_monoxide_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)., NILU: 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: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of high_vol_sampler at Villum Research Station, Station Nord (DK0010G). These measurements are gathered as a part of the following projects AMAP, EMEP and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: HCB in air (mass_concentration_of_hexachlorobenzene_in_air), alpha_HCH in air (mass_concentration_of_alpha_hexachlorocyclohexane_in_air), beta_HCH in air (mass_concentration_of_beta_hexachlorocyclohexane_in_air), cis_CD in air (mass_concentration_of_cis_chlordane_in_air), dieldrin in air (mass_concentration_of_dieldrin_in_air), endrin in air (mass_concentration_of_endrin_in_air), gamma_HCH in air (mass_concentration_of_gamma_hexachlorocyclohexane_in_air), heptachlor in air (mass_concentration_of_heptachlor_in_air), heptachlorepoxide in air (mass_concentration_of_heptachlor_epoxide_in_air), op_DDE in air (mass_concentration_of_op_dichlorodiphenyldichloroethylene_in_air), op_DDT in air (mass_concentration_of_op_dichlorodiphenyltrichloroethane_in_air), pp_DDD in air (mass_concentration_of_pp_dichlorodiphenyldichloroethane_in_air), pp_DDE in air (mass_concentration_of_pp_dichlorodiphenyldichloroethylene_in_air), pp_DDT in air (mass_concentration_of_pp_dichlorodiphenyltrichloroethane_in_air), trans_CD in air (mass_concentration_of_trans_chlordane_in_air), trans_NO in air (mass_concentration_of_trans_nonachlor_in_air)
License : AMAP: For scientific purposes, access to the AMAP data is unlimited but by their use you accept that an offer of co-authorship will be made through personal contact with 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).
Institutions: NO01L, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, 2007, Kjeller, Norway, NO01L, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, 2007, Kjeller, Norway
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of dinitrogen_monoxide at Zeppelin mountain (Ny-Ålesund) (NO0042G) using GC-ECD. These measurements are gathered as a part of the following projects EMEP, NILU and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: dinitrogen_monoxide in air (mass_fraction_of_dinitrogen_monoxide_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)., NILU: 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 Cruz, s/n, 28071, Madrid, Spain, ES04L, Ministerio de Medio Ambiente, DG de Calidad y Evaluacion Ambiental, Plaza de San Juan de la Cruz, s/n, 28071, Madrid, Spain
Last metadata update: 2022-11-14T00:00:00Z
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Abstract:
Ground based in situ observations of mercury_TGM at San Pablo de los Montes (ES0001R) using Hg_mon. 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: mercury_TGM in air (mass_concentration_of_total_gaseous_mercury_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: CZ03L, Institute of Chemical Process Fundamentals ASCR v. v. i., ICPF, Laboratory of Aerosol Chemistry and Physics, Rozvojova 2,, 16502, Prague 6, Czech Republic, CZ03L, Institute of Chemical Process Fundamentals ASCR v. v. i., ICPF, Laboratory of Aerosol Chemistry and Physics, Rozvojova 2,, 16502, Prague 6, Czech Republic
Last metadata update: 2022-06-10T00:00:00Z
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Abstract:
Ground based in situ observations of smps at Kosetice (NOAK) (CZ0003R). These measurements are gathered as a part of the following projects ACTRIS, EMEP, EUSAAR, GAW-WDCA and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: particle_number_size_distribution in pm10, particle_number_size_distribution in pm10, particle_number_size_distribution in pm10
This data set contains reprocessed images depicting labels that indicate the sea ice surface category, created by processing <a href="https://nsidc.org/data/iodms0">IceBridge DMS L0 Raw Imagery</a> with the Open Source Sea-ice Processing Algorithm. An orthorectified version of this data set is available as <a href="https://nsidc.org/data/rdsisco4">IceBridge-Related DMS-Derived L4 Sea Ice Surface Cover Classification Orthorectified Images</a>.
This data set contains reprocessed, orthorectified images depicting labels that indicate the sea ice surface category, created by processing <a href="https://nsidc.org/data/iodms0">IceBridge DMS L0 Raw Imagery</a> with the Open Source Sea-ice Processing Algorithm. Orthorectification was done using digital elevation models from the <a href="https://nsidc.org/data/iodem3">IceBridge DMS L3 Ames Stereo Pipeline Photogrammetric DEM</a> collection. The standard (non-orthorectified) images are available as <a href="https://nsidc.org/data/rdsisc4">IceBridge-Related DMS-Derived L4 Sea Ice Surface Cover Classification Images</a>.