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.
Institutions: The University Centre in Svalbard, The University Centre in Svalbard, The University Centre in Svalbard, The University Centre in Svalbard, Norwegian Meteorological Institute / Arctic Data Centre
The file contains time series of meteorological near-surface parameters measured on a temporary meteorological mast on the southern side of the coast of Adventdalen, Svalbard, from July to August 2022: Both temperature, humidity, wind speed, wind direction were measured at two levels.
Institutions: The University Centre in Svalbard, The University Centre in Svalbard, University of Bergen, University of Bergen, The University Centre in Svalbard, Norwegian Meteorological Institute / Arctic Data Centre
A scanning Doppler Lidar was placed in Adventdalen (Central Spitsbergen, Svalbard, Norway) close to the permanent weather mast SN99870. The Lidar measured between 4 July and 23 August 2022 with different scanning patterns in an hourly cycle. The cycle consisted of three Plan Position Indicator (PPI) scans at 1, 5 and 10 degree from xx:00 to xx:10, Range Height Indicator (RHI) scans alternating between up-valley and down-valley direction from xx:10 to xx:50, Doppler-Beam-Swinging (DBS) technique from xx:50 to xy:00. The radial resolution was 10 m with overlapping range gates of 50 m. Short periods of power cuts were encountered. Frequently there were conditions with little backscatter and low carrier-to-noise ratio, especially in light down-valley winds.
Institutions: Norwegian Water Resources and Energy Directorate (NVE)
Last metadata update: 2024-03-13T11:33:04Z
Show more...
Abstract:
The climate change indicator products of glaciers in mainland Norway include surface mass balance and length change (from NVE’s field observations) and area changes (from satellite imagery and topographical maps) for a selection of glaciers. Glacier surface mass balance and glacier length change are obtained directly from NVE’s databases. https://glacier.nve.no/Glacier/viewer/CI/en/cc
Institutions: Norwegian Water Resources and Energy Directorate (NVE)
Last metadata update: 2024-03-13T11:33:04Z
Show more...
Abstract:
Glacier Periodic photos (GPP) from Norwegian glaciers. The photo series illustrate how the extent of a selection of Norwegian glaciers have changed. The pictures are not taken from the same position each year. The earliest photos are from the 1860s. The majority of the pictures are from the last 20 years. The number of photos per glacier varies. The source of the data is NVEs photo archive, with contributions from NVE collaborators. https://glacier.nve.no/Glacier/viewer/gpp/en/cc/
Institutions: UiT The Arctic University of Norway, UiT The Arctic University of Norway
Last metadata update: 2024-01-19T11:29:43Z
Show more...
Abstract:
An X-ray scan of Priapulopsis bicaudatus. Sample collected by Bodil Bluhm in field (2019-08-16), preserved in 70% EtOH, then stored as a voucher specimen at The Arctic University Museum of Norway with collection number TSZY 427. Before scanning the specimen was encapsuled in wax, then imaged in a Zeiss Xradia Versa 620.
The dataset contains 2 archives. The first archive contains all data (saved as netCDF files) relative to the Figures presented in Boutin et al. (2023). The second archive contains monthly averaged fields (saved as netCDF files) of the simulation described in Boutin et al. (2023). They include quantities relative to sea ice properties (icemod files) and to the mass balance (ice growth/melt etc... simba files). They cover the north Atlantic and the Arctic Ocean (north of Bering Strait) for the period 2000-2018.
icemod_monthly.tar.gz contains the gridded monthly averaged quantities used in the manuscript "Modelling the evolution of Arctic multiyear sea ice over 2000-2018" for each year between 2000 and 2018.Multiyear ice variables are conc_myi (concentration of multiyear ice in a grid cell) and thick_myi (cell average thickness of multiyear ice in a grid cell, in metres), along with source and sink terms (units per day) for multiyear concentration (dci_mlt_myi, dci_ridge_myi and dci_rplnt_myi, for melt, ridging and replenishment) and volume (dvi_mlt_myi and dvi_rplnt_myi, for melt and replenishment).transports_monthly_sections.zip contains the transports of multiyear ice through the sections defining each region in Figure 8 of the paper. MYIsiaXport indicates multiyear ice area transport, while myiXport indicates multiyear ice volume transport.In case information is missing, do not hesitate to contact heather.regan@nersc.no, guillaume.boutin@nersc.no, or einar.olason@nersc.no.
This dataset contains stable isotope ratio data (C and N) from 45 serum samples from Northwest adult hooded seals. Samples were collected during the breeding season in the period 1995 to 2018/2019 in the Gulf of Saint Lawrence. The integration time for serum is approximately one to two weeks, so this analysis provides us with information on the habits of seals in the weeks immediately prior to breeding.
This dataset contains raw tracking data for 92 Northwest Atlantic hooded seal individuals, spanning a period from 1992 to 2019. Tagging was conducted during the breeding season (pupping - March) in the Gulf of Saint Lawrence (GULF) and off the north coast of Newfoundland (FRONT) and during the moulting season (July) in southeast Greenland (SE GREEN).
The collection of Arctic and Antarctic Radarsat-2 imagery metadata (names and polygons) taken from 2008 and ongoing. The imagery was provided by Norwegian Space Agency/KSAT through Canadian-Norwegian Radarsat agreement ‘Flerbruksavtale’ and can not be shared freely beyond the contract partners. Images were ordered by various partners, but mainly by MET, UiT, NP and NERSC. The majority of imagery is of ScanSAR Wide mode with HV and HH polarizations. All images are processed to L1. The raw data is stored with KSAT (Norwegian Space Agency).
Ocean microstructure profiles from Kongsfjorden August 2021. This dataset includes 75 profiles of 0.5-decibar vertically averaged dissipation rate of turbulent kinetic energy, in situ temperature (ITS-90 scale) and salinity (practical salinity scale). Profiles are collected using Sea and Sun Technology vertical microstructure profiler (MSS90L) SN#046. Dissipation rate is measured using two airfoil shear probes. Dissipation rate profiles are averages from the two shear probes. The temperature and salinity profiles are measured from the SBE sensors on the same instrument. MSS90L has an unpumped CTD system. Only downcasts are used. Data has been processed using the Sea and Sun technology routines. The sensors were calibrated before data collection. Resulting profiles are quality controlled, but still require caution from the user. For more details contact arild.sundfjord@npolar.no
Institutions: ES19L, University of Córdoba, UCO, Department of Botany, Ecology and Plant Phisiology, Campus de Rabanales, C4 Building, 14014, Córdoba, Spain, ES19L, University of Córdoba, UCO, Department of Botany, Ecology and Plant Phisiology, Campus de Rabanales, C4 Building, 14014, Córdoba, Spain
Last metadata update: 2024-03-24T00:00:00Z
Show more...
Abstract:
Bioaerosols at Córdoba - Universidad (ESCORD). These measurements are gathered as a part of the following projects AutoPollen_NRT, SYLVA_NRT and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: pollen_abies in aerosol, pollen_abies in aerosol, pollen_acer in aerosol, pollen_acer in aerosol, pollen_aesculus in aerosol, pollen_aesculus in aerosol, pollen_alnus in aerosol, pollen_alnus in aerosol, pollen_ambrosia in aerosol, pollen_ambrosia in aerosol, pollen_artemisia in aerosol, pollen_artemisia in aerosol, pollen_asteraceae in aerosol, pollen_asteraceae in aerosol, pollen_betula in aerosol, pollen_betula in aerosol, pollen_brassica in aerosol, pollen_brassica in aerosol, pollen_carpinus in aerosol, pollen_carpinus in aerosol, pollen_castanea in aerosol, pollen_castanea in aerosol, pollen_chenopodium in aerosol, pollen_chenopodium in aerosol, pollen_corylus in aerosol, pollen_corylus in aerosol, pollen_cruciferae in aerosol, pollen_cruciferae in aerosol, pollen_cyperaceae in aerosol, pollen_cyperaceae in aerosol, pollen_erica in aerosol, pollen_erica in aerosol, pollen_fagus in aerosol, pollen_fagus in aerosol, pollen_fraxinus in aerosol, pollen_fraxinus in aerosol, pollen_galium in aerosol, pollen_galium in aerosol, pollen_humulus in aerosol, pollen_humulus in aerosol, pollen_impatiens in aerosol, pollen_impatiens in aerosol, pollen_juglans in aerosol, pollen_juglans in aerosol, pollen_juniperus in aerosol, pollen_juniperus in aerosol, pollen_larix in aerosol, pollen_larix in aerosol, pollen_parietaria in aerosol, pollen_parietaria in aerosol, pollen_picea in aerosol, pollen_picea in aerosol, pollen_pinaceae in aerosol, pollen_pinaceae in aerosol, pollen_plantago in aerosol, pollen_plantago in aerosol, pollen_platanus in aerosol, pollen_platanus in aerosol, pollen_poaceae in aerosol, pollen_poaceae in aerosol, pollen_populus in aerosol, pollen_populus in aerosol, pollen_quercus in aerosol, pollen_quercus in aerosol, pollen_quercus_ilex in aerosol, pollen_quercus_ilex in aerosol, pollen_rumex in aerosol, pollen_rumex in aerosol, pollen_salix in aerosol, pollen_salix in aerosol, pollen_sambucus in aerosol, pollen_sambucus in aerosol, pollen_secale in aerosol, pollen_secale in aerosol, pollen_solidago in aerosol, pollen_solidago in aerosol, pollen_taraxacum in aerosol, pollen_taraxacum in aerosol, pollen_taxus in aerosol, pollen_taxus in aerosol, pollen_tilia in aerosol, pollen_tilia in aerosol, pollen_triticum in aerosol, pollen_triticum in aerosol, pollen_ulmus in aerosol, pollen_ulmus in aerosol, pollen_urticaceae in aerosol, pollen_urticaceae in aerosol, pollen_zea_mays in aerosol, pollen_zea_mays in aerosol, spores_fungi in aerosol, spores_fungi in aerosol, spores_fungi_alternaria in aerosol, spores_fungi_alternaria in aerosol
Institutions: SE01L, Swedish Environmental Research Institute, IVL, P.O.Box 47086, S-402 58 GÖTEBORG, Sweden, SE01L, Swedish Environmental Research Institute, IVL, P.O.Box 47086, S-402 58 GÖTEBORG, Sweden
Last metadata update: 2024-03-22T00:00:00Z
Show more...
Abstract:
PM mass at Bredkälen. 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: 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)