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: AWI Alfred Wegener Institute for Polar and Marine Research, Norwegian Meteorological Institute / Arctic Data Centre, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2023-08-15T08:59:10Z
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Abstract:
meteorological observations from Polarstern cruise ARKXXII/2 to the central Arctic Ocean.
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 2007-2008. 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. First deployment on southern side of Kongsfjorden, which is the permanent side for all future moorings. Only one upward facing ADCP. S4 current meter did not record any data. Sediment trap failed due to sediment stuck in the funnel.
d18O data of the first Dome Fuji ice core (DF1) for 0-2500 m (340 kyr). Raw data were obtained from measurements of continuous 10-cm samples for 0-2300 m (~255 kyr), and of discontinuous 25-cm samples (25-cm gap between two samples) for 2300-2500 m, with uncertainty of 0.05 per mil. The data were put on DFO-2006 age scale and then averaged at 250 yr intervals (for 0-254.5 kyr b2k) and 500 yr intervals (for 254.5-339.5 kyr b2k, where raw data are discontinuous). The depth at the top of intervals was re-interpolated from the age. For plotting the data, use staircase (cityscape) function using 'Top age', or linear function using 'Center age'. Note that age is given in b2k (before AD 2000). See also temperature reconstruction based on this data and delta D data of the Dome Fuji core.
Preliminary reconstruction of air temperature at Dome Fuji (Antarctica) for the past 340,000 years from isotopic data (d18O and dD) of the first Dome Fuji ice core. The Dome Fuji temperature (delta-Tsite, deviation from the mean of the last 10 kyr) was reconstructed by correcting raw isotopic records of the ice core for vapor source temperature and seawater isotopic composition variations, using an isotopic inversion (Vimeux et al., 2002; Stenni et al., 2004). Due to high noise level in the deuterium excess data especially between 20 and 80 ka, we use a filtered record (passband>5000yr, stopband<2000yr). Note that this data is not intended to resolve millennial changes because of the filtering of the raw data as well as averaging of delta-Tsite to 500-yr intervals. We used a recent seawater d18O reconstruction by Bintanja et al (2005, Nature). We estimate the sensitivities of isotopic values (Uemura et al., 2004) to site (Dome Fuji) and source temperatures and seawater isotopic composition, by using a Rayleigh-based model. We tune this model with the Dome Fuji present-day surface data. We currently lack isotopic data of surface snow from the coast to Dome Fuji to define the air mass trajectories, thus this data should be considered preliminary. Nevertheless, the tuned sensitivities are close to those for Vostok and Dome C (Vimeux et al., 2002; Stenni et al., 2004). The data are put on DFO-2006 age scale and averaged at 500 yr intervals. The value is the mean in the range from 'Top age' to the next 'Top age'. For plotting the data, use staircase (cityscape) function using 'Top age', or linear function using 'Center age'. Note that age is in b2k (before AD 2000).
CO2 record from the Dome Fuji ice core (Antarctica) covering the last 260 kyr with relatively low resolution. Air was extracted by a dry method and measured with a gas chromatograph. Gravitational enrichment of CO2 in firn is corrected by d15N data measured on the same samples. Analytical precision (including air extraction and measurement) is 1.5 ppm (one standard deviation). Note that the data for ~30-55 kyr b2k are too low by up to 20 ppmv because of fractionation between air bubbles and clathrate hydrates. Age scale is DFO-2006 from Kawamura et al. (2007, Nature). Note that age is given in b2k (before AD 2000). See original reference for further details. See also Dome Fuji CO2 data (1-338 kyr b2k) measured with wet extraction method.
CO2 record from the Dome Fuji ice core (Antarctica) covering the last 260 kyr with relatively low resolution. Air was extracted by a dry method and measured with a gas chromatograph. Gravitational enrichment of CO2 in firn is corrected by d15N data measured on the same samples. Analytical precision (including air extraction and measurement) is 1.5 ppm (one standard deviation). Note that the data for ~30-55 kyr b2k are too low by up to 20 ppmv because of fractionation between air bubbles and clathrate hydrates. Age scale is DFO-2006 from Kawamura et al. (2007, Nature). Note that age is given in b2k (before AD 2000). See original reference for further details. See also Dome Fuji CO2 data (1-338 kyr b2k) measured with wet extraction method.
DFO-2006 age scale of the Dome Fuji ice core (Antarctica) for 0-2504 m (~340 kyr), based on orbital tuning using O2/N2 ratio of trapped air. The O2/N2 of the Dome Fuji core reflects physical properties of original snow, and its long-term variations are expected to be in phase with summer solstice insolation at the site. We derive chronological tie points between low-pass filtered O2/N2 record and local (77 S) summer solstice insolation curve by peak-to-peak matching, to modify the original glaciological timescale in Watanabe et al. (2003). We can use the O2/N2 data only from the depths in which air is occluded as clathrate hydrates, which restricts the youngest tie point to 82 kyr b2k. The original timescale, which has a constraint at 41 kyr ago, is unchanged for 0-41.5 kyr ago and its agreement with Greenland timescales is probably within 1 kyr. We linearly interpolated the original timescale between all the O2/N2 tie points, as well as between 41.5 and 82 kyr ago. Gas age of the core was derived by subtracting ice age-gas age difference (delta age) from the DFO-2006 ice age, using Pimienta-Barnola densification model (Barnola et al., 1991, Tellus). See reference for further details and uncertainty.
Benthic assemblages were sampled in 2007, 2008, 2009, 2010, 2014, 2016, and 2019. Each of these years, between 5 and 22 sites in total were visited at the outer, center, and inner parts of the fjord (see also Merillet et al 2022). The fjord was covered in the innermost part (2007-2009, 2011, 2014, 2016, 2019) the middle part (2007-2008, 2010-2011, 2014, 2019) and the outer part (2008-2011, 2014, 2016, 2019). Hauls were conducted for 5 min at a mean speed of 1.5 knots with a 2 m beam trawl (codend 4 mm) and washed through a 5 mm sieve. The catch was then sorted, and each taxon was counted and weighted (i.e., biomass is wet mass). Megabenthic taxa were identified to the lowest possible taxonomic level.
Institutions: ES01L, Instituto Salud Carlos III, Centro Nacional de Sanidad Ambiental, Area de Contaminacion Atmosferica, CNSA, Ctra. Majadahonda a Pozuelo Km 2, 28220 Majadahonda, Madrid, Spain, ES01L, Instituto Salud Carlos III, Centro Nacional de Sanidad Ambiental, Area de Contaminacion Atmosferica, CNSA, Ctra. Majadahonda a Pozuelo Km 2, 28220 Majadahonda, Madrid, Spain
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of high_vol_sampler at Penausende (ES0013R). 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: arsenic in pm10 (mass_concentration_of_arsenic_in_pm10_in_air), cadmium in pm10 (mass_concentration_of_cadmium_in_pm10_in_air), chromium in pm10 (mass_concentration_of_chromium_in_pm10_in_air), copper in pm10 (mass_concentration_of_copper_in_pm10_in_air), lead in pm10 (mass_concentration_of_lead_in_pm10_in_air), nickel in pm10 (mass_concentration_of_nickel_in_pm10_in_air), zinc in pm10 (mass_concentration_of_zinc_in_pm10_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: ES01L, Instituto Salud Carlos III, Centro Nacional de Sanidad Ambiental, Area de Contaminacion Atmosferica, CNSA, Ctra. Majadahonda a Pozuelo Km 2, 28220 Majadahonda, Madrid, Spain, ES01L, Instituto Salud Carlos III, Centro Nacional de Sanidad Ambiental, Area de Contaminacion Atmosferica, CNSA, Ctra. Majadahonda a Pozuelo Km 2, 28220 Majadahonda, Madrid, Spain
Last metadata update: 2023-10-30T00:00:00Z
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Abstract:
Ground based in situ observations of high_vol_sampler at Penausende (ES0013R). 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: acenaphthene in pm10 (mass_concentration_of_acenaphthene_in_pm10_in_air), acenaphthylene in pm10 (mass_concentration_of_acenaphthylene_in_pm10_in_air), anthracene in pm10 (mass_concentration_of_anthracene_in_pm10_in_air), benz_a_anthracene in pm10 (mass_concentration_of_benz_a_anthracene_in_pm10_in_air), benzo_a_pyrene in pm10 (mass_concentration_of_benzo_a_pyrene_in_pm10_in_air), benzo_b_fluoranthene in pm10 (mass_concentration_of_benzo_b_fluoranthene_in_pm10_in_air), benzo_ghi_perylene in pm10 (mass_concentration_of_benzo_ghi_perylene_in_pm10_in_air), benzo_j_fluoranthene in pm10 (mass_concentration_of_benzo_j_fluoranthene_in_pm10_in_air), benzo_k_fluoranthene in pm10 (mass_concentration_of_benzo_k_fluoranthene_in_pm10_in_air), chrysene in pm10 (mass_concentration_of_chrysene_in_pm10_in_air), dibenzo_ah_anthracene in pm10 (mass_concentration_of_dibenzo_ah_anthracene_in_pm10_in_air), fluoranthene in pm10 (mass_concentration_of_fluoranthene_in_pm10_in_air), fluorene in pm10 (mass_concentration_of_fluorene_in_pm10_in_air), inden_123cd_pyrene in pm10 (mass_concentration_of_inden_123cd_pyrene_in_pm10_in_air), naphthalene in pm10 (mass_concentration_of_naphthalene_in_pm10_in_air), phenanthrene in pm10 (mass_concentration_of_phenanthrene_in_pm10_in_air), pyrene in pm10 (mass_concentration_of_pyrene_in_pm10_in_air)
Institutions: ES01L, Instituto Salud Carlos III, Centro Nacional de Sanidad Ambiental, Area de Contaminacion Atmosferica, CNSA, Ctra. Majadahonda a Pozuelo Km 2, 28220 Majadahonda, Madrid, SpainES04L, Ministerio de Medio Ambiente, DG de Calidad y Evaluacion Ambiental, Plaza de San Juan de la Cruz, s/n, 28071, Madrid, Spain, ES01L, Instituto Salud Carlos III, Centro Nacional de Sanidad Ambiental, Area de Contaminacion Atmosferica, CNSA, Ctra. Majadahonda a Pozuelo Km 2, 28220 Majadahonda, Madrid, SpainES04L, 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: 2023-01-25T00:00:00Z
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Abstract:
Ground based in situ observations of mercury_PBM at Penausende (ES0013R) using high_vol_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: mercury_PBM in pm10