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.
Helicopter-borne electromagnetic induction sounding (HEM) sea ice thickness measurements made in the Barents Sea region in March 2014. A total of 8 separate flights were conducted during this campaign. The thickness produced by this sensor is ‘total thickness’, that is ice + snow, but is normally referred to as ‘sea-ice thickness’.
This work was supported by the European Space Agency SMOSice project (ESA contract 4000110477/14/NL/FF/lf). We would like to thank the crews of Airlift helicopter and RV Lance for their assistance with the collection of this dataset.
Green Network of Excellence Program - Arctic Climate Change Research Project
Last metadata update: 2015-05-14T00:00:00Z
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Abstract:
Carbon flow dynamics in northern forest ecosystems were examined in middle part of Finland. Fine root production was estimated in three types of stands; Picea abies stands, Betula pendula stands, and mixed stands of these two species. Comparative estimation of four methods were conducted in the field experiments.
Green Network of Excellence Program - Arctic Climate Change Research Project
Last metadata update: 2015-05-14T00:00:00Z
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Abstract:
Our research area is located at Spasskaya Pad scientific forest station (62N, 129E) 40 kilometers from Yakutsk in Northeastern Siberia, Russia. Air temperature was measured at the site.
This dataset includes Geophysical Institute (GFI), University of Bergen mooring SVI201403_S1south data. The mooring consists of 3 inst. (instrument type:instrument number(instrument depth)):RCM7:8438(106m) RCM9IW:1365(306m) RCM7:11092(486m) . Metadata and raw/processed time series are presented as NetCDF, text and pdf(plots with statistics, calibration sheets, mooring drawing) files.
This dataset includes Geophysical Institute (GFI), University of Bergen mooring SVI201403_S2000 data. The mooring consists of 2 inst. (instrument type:instrument number(instrument depth)):RCM7:11633(1487m) RCM8:9907(1887m) . Metadata and raw/processed time series are presented as NetCDF, text and pdf(plots with statistics, calibration sheets, mooring drawing) files.
We report on a pilot study using a CO2 optode deployed on a Seaglider in the Norwegian Sea for 8 months (March to October 2014). The optode measurements required drift- and lag-correction, and in situ calibration using discrete water samples collected in the vicinity. We found the optode signal correlated better with the concentration of CO2, c(CO2), than with its partial pressure, p(CO2). Using the calibrated c(CO2) and a regional parameterisation of total alkalinity (AT) as a function of temperature and salinity, we calculated total dissolved inorganic carbon concentrations, CT, which had a standard deviation of 10 µmol kg-1 compared with direct CT measurements. The glider was also equipped with an oxygen (O2) optode. The O2 optode was drift-corrected and calibrated using a c(O2) climatology for deep samples (R2 = 0.89; RMSE = 0.009 µmol kg-1). The survey area was a source of O2 and a sink of CO2 for most of the summer. The deployment captured two different surface waters: the Norwegian Atlantic Current (NwAC) and the Norwegian Coastal Current (NCC). The NCC was characterised by lower c(O2) and CT than the NwAC, as well as lower N(O2), N(CT) and craw(Chl a). Our results show the potential of glider data to simultaneously capture time and depth-resolved variability in CT and O2.
Ground based in situ observations of aerosol_optical_depth at Cape Point (ZA0001G) 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)
Institutions: AM01L, Environmental Impact Monitoring Center, Yerevan, AM01L, Environmental Impact Monitoring Center, Yerevan
Last metadata update: 2023-09-20T00:00:00Z
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Abstract:
Ground based in situ observations of precip_gauge at Amberd (AM0001R). 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: conductivity in precip (conductivity_in_precipitation), pH in precip (mass_concentration_of_pH_in_precipitation), sulphate_corrected in precip (mass_concentration_of_sulphate_corrected_for_seaspray_expressed_as_sulphur_in_precipitation), sulphate_corrected in precip (mass_concentration_of_sulphate_corrected_in_precipitation), sulphate_total in precip (mass_concentration_of_sulphate_total_in_precipitation), sulphate_total in precip (mass_concentration_of_sulphate_total_in_precipitation)
Institutions: PT02L, Navn ikke lagt inn, PT02L, Navn ikke lagt inn
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of high_vol_sampler at Alfragide (PT0006R). 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: calcium in pm25 (mass_concentration_of_calcium_in_pm2p5_in_air), magnesium in pm25 (mass_concentration_of_magnesium_in_pm2p5_in_air), potassium in pm25 (mass_concentration_of_potassium_in_pm2p5_in_air), sodium in pm25 (mass_concentration_of_sodium_in_pm2p5_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).
Institutions: DE08L, Leibniz Institute for Tropospheric Research, TROPOS, Permoserstrasse 15, 04318, Leipzig, Germany, DE08L, Leibniz Institute for Tropospheric Research, TROPOS, Permoserstrasse 15, 04318, Leipzig, Germany
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of aerosol_absorption_coefficient at Leipzig-Eisenbahnstrasse (DE0066K) using filter_absorption_photometer. These measurements are gathered as a part of the following projects GUAN, GAW-WDCA and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: aerosol_absorption_coefficient in pm1
This data set contains ocean temperature, salinity, and wave data collected during a research initiative with the goal of understanding the physics that control sea ice breakup and melt in and around the sea ice edge. It was conducted by the U.S. Office of Naval Research (ONR) Marginal Ice Zone Departmental Research Initiative (DRI) program to better understand the atmosphere-ice-ocean interactions that are taking place as ice in the Beaufort Sea retreats in summer and a seasonal marginal ice zone (MIZ) evolves. The field program took place in the summer of 2014.