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.
This dataset contains GLS ear-tag data collected from 2012 to 2021. This dataset was used in Merkel et al. 2023 Light-level geolocation as a tool to monitor polar bear (Ursus maritimus) denning ecology: a case study. Animal Biotelemetry. DOI 10.1186/s40317-023-00323-4.
Quality
The dataset contains raw light level logger outputs as wel las a metadata xlsx file.
The dataset includes concentrations of emerging brominated flame retardants (EBFR) and organophosphate esters (OPEs) in marine wildlife from the Norwegian Arctic. In addition, a list of compound names, abbreviations and CAS numbers are given. Concentrations of EBFRs were determined for 157 tissue samples from nine species of marine vertebrates. The samples include blubber from blue whales, fin whales, humpback whales, white whales, killer whales, walruses, and ringed seals, adipose tissue and plasma from polar bears, and adipose tissue from glaucous gulls. OPEs were determined in 34 blubber samples from three whale species (blue whales, fin whales, white whales). The tissue samples were collected in or around the Svalbard Archipelago (76.54-80.68 N, 9.26-23.54 E) and in coastal waters off northern Norway (70.01-70.05 N, 21.90-21.02 E).
Quality
Details of methods for sampling and chemical analyses are given in Lippold et al., 2022. Concentrations are given in ng/g wet weight. Age is given in years.
The data show concentrations of persistent organic pollutants in plasma and adipose tissue of adult female polar bears from Svalbard sampled in spring and autumn, 2012-2013. The data was used to explore what determines the variation in concentrations of PCBs, organochlorine pesticides and brominated flame retardants in adult female polar bears from Svalbard. The predictor variables included samplig season, location, feeding habits (approximated by stable isotopes and fatty acid composition), body condition index, fasting status (the ratio between plasma urea in mmol/L and creatinine μmol/L), age (years) and breeding status. All contaminant concentrations are in ng/g wet weight in the data file, but were lipid corrected (concentration/fat%*100) in the publication (except OH-PCBs). Stable isotopes of carbon and nitrogen, d13C and d15N, were analysed in red blood cells and are shown in ‰ unit. Fatty acid composition was determined in adipose tissue and shown in % unit. Breeding status refers to females captured alone (no), or with cubs of the year (coy) or with one or two year old offspring (yrl).
Quality
See DOI: 10.1016/j.scitotenv.2016.10.132 for details.
The data shows sampling season and position/area, cub status, fatty acid (FA) composition in adipose tissue and carbon (δ13C) and nitrogen (δ15N) stable isotope values in plasma and red blood cells for female polar bears in Svalbard.
Quality
Adult female polar bears (age 4–28 years) were captured in April and September 2012 and 2013 throughout Svalbard. The 112 samples collected (N = 33 in April 2012, N= 24 in September 2012, N= 29 in April 2013 and N = 26 in September 2013) represented 78 females with 26 animals being captured more than once. Females were classified in three groups according to their breeding status: solitary (i.e. alone or together with a male in spring), with 1 or 2 cubs of the year (COYs; cubs younger than 1 year old) or with 1 or 2 yearlings (YRLs; cubs aged between 1 and 2 years). Sampling areas were split according to their ice cover: North-West (less sea ice cover), South-East (larger amplitude in sea ice extent) and North-East/South-West (NESW) as bears from that zone are more mobile among all regions of Svalbard. Lipid was quantitatively extracted from each adipose tissue sample and FA methyl esters (FAME) were prepared using H2SO4 as a catalyst. Duplicate analyses and identification of FAME were performed using temperature-programmed gas–liquid chromatography. FA data are expressed as the mass percentage of total FA. Individual FA are referred to by the shorthand nomenclature of carbon-chain length:number of double bonds, and position of the first double bond relative to the terminal methyl group. Plasma and red blood cells were dried at 50°C for 3 days, homogenized, weighed and packed in tin cups. The samples were analysed for δ13C and δ15N using an elemental analyzer in line with a continuous-flow isotope ratio mass spectrometer. δ13C and δ15N values are reported in standard δ notation and are referenced to Vienna Pee Dee Belemnite (VPDB) for δ13C and to air for δ15N.
On Svalbard, the long-lasting snow cover and the timing of the snowmelt is a crucial factor in the yearly cycle of all land ecosystems. To monitor the timing and patterns of snow melt, automatic camera systems have been set up at three locations overlooking key research areas near Ny-Ålesund, Svalbard. All images are provided in daily resolution, and the date coded in the filename as yyyy-MM-dd. This work was funded by SMACS (project no. 236768 / E10; Svalbard Science Forum, Research Council of Norway). ** For all details see the full metadata description at "https://doi.pangaea.de/10.1594/PANGAEA.846617"!
Green Network of Excellence Program - Arctic Climate Change Research Project
Last metadata update: 2015-05-12T00:00:00Z
Show more...
Abstract:
Mixing ratios of greenhouse gases for sampled air in the upper troposphere or lower stratosphere over the Eurasian continent collected by Automatic Air Sampling Equipment onboard the commercial airliner.
This data set constitute an archive with spatiotemporal concentrations of lice larvae in the upper 2m of the water masses during the periods from April 1th – August 30th, 2012 - 2019.
The data set has been established using a combination of state-of-the-art hydrodynamic, particle tracking and lice biology models.
The salmon lice advection and growth model is based on the Lagrangian Advection and Diffusion Model (LADiM; Ådlandsvik, 2019). Physical forcing fields (three-dimensional currents and hydrography) are provided by the ocean model system NorKyst800 (Albretsen et al., 2011), based on the Regional Ocean Modelling System (ROMS, www.myroms.org; Shchepetkin and McWilliams 2005; Haidvogel et al., 2008). The horizontal quadratic grid cell size is 800 x 800 m, and realistic forcing of the ocean model from atmosphere, tides, and rivers are included as described by Asplin et al. (2014) and Johnsen et al. (2014). A more detailed description of the parameterization of the model lice behaviour used in this study, can be found in Sandvik et al. (2020).
The data set includes quality-controlled, 1-decibar vertically interpolated Seaglider observations of water column temperature and salinity profiles in the upper 1000 m, and depth averaged currents in the Lofoten Basin of the Norwegian Sea. The data set is presented in Yu et al. (2017, doi:10.1002/2017JC012982, The Lofoten Basin Eddy: Three years of evolution as observed by Seagliders. J. Geophys. Res. Oceans).
The observations were provided by the Norwegian Atlantic Current Observatory (NACO) and the data set is prepared and used in the ProVoLo project (Watermass transformation processes and vortex dynamics in the Lofoten Basin of the Norwegian Sea), both funded by the Norwegian Research Council.
The glider raw data were processed using the University of East Anglia.
Seaglider toolbox
(http://bitbucket.org/bastienqueste/uea-seaglider-toolbox). Outputs from the toolbox are separated into dives and climbs and vertically interpolated at a regular 1decibar interval. Further hard limits on salinity and temperature were applied to exclude and interpolate outliers.
Conservative Temperature and Absolute Salinity measurements were compared to available hydrographic data managed by the Institute of Marine Research in Bergen, Norway. Absolute Salinity was corrected by a small constant offset obtained by a least-squares fitting of the glider data between 700 m and 1000 m to reference linear T/S relationship corresponding to the mixing line between the Atlantic Water and the deep waters below 700 m. The Conservative Temperature and Absolute Salinity data were converted back to temperature at ITS-90 scale and salinity at the practical salinity scale for archiving.
The ACS_Bayelva_class dataset contains 302 high-resolution binary snow cover images that were obtained by classifying orthrorectified photographs of a 1.77 km^2 area of interest in the Bayelva catchment. This catchment is close to Ny-Ålesund, the northernmost permanent civilian settlement in the world and a major hub for polar research, in the Norwegian high-Arctic Svalbard archipelago. The imagery has a (roughly) daily temporal resolution and a ground sampling distance (pixel spacing) of 0.5 m. The dataset spans 6 snowmelt seasons, covering the months May-August for the period 2012-2017. The orthophotos were obtained by processing oblique time-lapse photographs taken by a terrestiral automatic camera system (ACS) mounted at 562 m a.s.l. near the summit of Scheteligfjellet (719 m a.s.l.) a few kilometers west of Ny-Ålesund. The orthophotos were manually classified into binary snow cover images (0=no snow, 1=snow) by iteratively selecting a (visually) optimal threshold on the intensity in the blue band for each image. More details are provided in the study of Aalstad et al. (2020) [a copy is available in this repository] where this dataset was created. The ACS was maintained by scientists from the group of Sebastian Westermann at the Section for Physical Geography and Hydrology in the Department of Geosciences at the University of Oslo, Oslo, Norway.
Institutions: GE01L, National Environmental Agency, Tbilisi, GE01L, National Environmental Agency, Tbilisi
Last metadata update: 2021-02-11T00:00:00Z
Show more...
Abstract:
Ground based in situ observations of wet_only_sampler at Abastumani (GE0001R). 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: calcium in precip (mass_concentration_of_calcium_in_precipitation), chloride in precip (mass_concentration_of_chloride_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)
License : EMEP: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).
Institutions: GR02L, Ministry of Environment, GR02L, Ministry of Environment
Last metadata update: 2021-12-08T00:00:00Z
Show more...
Abstract:
Ground based in situ observations of smps at Finokalia (GR0002R). These measurements are gathered as a part of the following projects ACTRIS, 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
Institutions: US13L, University of Colorado - INSTAAR, INSTAAR, Institute of Arctic and Alpine Research, 4001 Discovery Drive, Rm N202, CO 80303, Boulder, USA, US13L, University of Colorado - INSTAAR, INSTAAR, Institute of Arctic and Alpine Research, 4001 Discovery Drive, Rm N202, CO 80303, Boulder, USA
Last metadata update: 2021-04-30T00:00:00Z
Show more...
Abstract:
Ground based in situ observations of ethene at Summit (DK0025G) using online_gc. 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: ethene in air (mass_fraction_of_ethene_in_air)
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: 2023-04-21T00:00:00Z
Show more...
Abstract:
Ground based in situ observations of mass_121_organic_compounds at Birkenes II (NO0002R) using PTR-MS. These measurements are gathered as a part of the following projects ACTRIS, EMEP and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: mass_121_organic_compounds in air
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
Show more...
Abstract:
Ground based in situ observations of methane at Zeppelin mountain (Ny-Ålesund) (NO0042G) using online_crds. 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: methane in air (mass_fraction_of_methane_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: BG01L, Institute for Nuclear Research and Nuclear Energy, Basic Environmental Observatory Moussala, 72 Tsarigradsko Chaussee Blvd, 1784-Sofia, Bulgaria, BG01L, Institute for Nuclear Research and Nuclear Energy, Basic Environmental Observatory Moussala, 72 Tsarigradsko Chaussee Blvd, 1784-Sofia, Bulgaria
Last metadata update: 2021-02-11T00:00:00Z
Show more...
Abstract:
Ground based in situ observations of particle_number_size_distribution at BEO Moussala (BG0001R) using smps. These measurements are gathered as a part of the following projects ACTRIS and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: particle_number_size_distribution in pm10