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 SAON Data Portal.
Brief user guide
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 through the drop down menu above the text field. Text strings that are not quoted are treated as separate words and will match any of the words (i.e. assuming the OR operator). Phrases may be prefixed with '-' to indicate no occurence of the phrase in the results.
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.
Comparative studies of vocal repertoires over the geographical range of a species can improve ourunderstanding of the function and evolution of animal vocalizations. They may also help to elucidaterelationships between populations, where genetic studies are missing or difficult to perform. We recordedmale bearded seal vocalizations from four sites throughout their Arctic distribution. We measured 16parameters for each vocalization and examined variability using classification tree analyses. There werefour major call categories: trill, ascent, sweep and moan. Trills divided further into three subcategories:trills with ascent/plume, long trills and short trills. Not all call categories were present at all sites: the ascentoccurred only in Alaska and western Canada, the sweep occurred only in Svalbard and in the High CanadianArctic, and the trill with ascent/plume occurred at all sites except Svalbard. Geographical differencesbetween sites were apparent in repertoire size as well as in vocal structure. Furthermore, an eastwestgradient in structural similarities between call types was apparent. The vocal repertoire of bearded sealsseemed to be relatively stable; for example, over a period of 16 years no calls were lost or added to theAlaskan repertoire. The most likely explanation for the observed vocal differences between sites is thegeographical isolation of populations by physical distance. Other factors, such as varying ecological influences(e.g. adaptation to varying ice habitats) or sexual selection, may also contribute to vocal variabilityand result in the observed geographical variation.
This data set consists of data from approximately 1,200 engineering-geocryological boreholes, of approximate 12 m depth. The following parameters are collected for each borehole: ground type, cryotextures, soil moisture every 0.5 m, dry density every 0.5 to 1 m, and temperature every 1 m.
This study investigates the thickness of the active
layer of palsas in northernmost Finland and temporal, local, and
regional differences in the thawing of palsas there. (Seppala
1983). Probes of frost depth were made over a 9-year period, a
total of 185 measurements in 17 palsa bogs at sites ranging from
50 - 490 m in altitude. Thermal gradients were also measured ;
weather observations were taken at two sites.
These valid ice masks provide a way to remove spurious ice caused by residual weather effects and land spillover in passive microwave data. They are derived from the National Ice Center Arctic Sea Ice Charts and Climatologies data set and show where ice could possibly exist based on where it has existed in the past. There are 12 valid ice masks, one for each month, in netCDF-CF 1.6 compliant files with all associated metadata. The data are on a 304 x 448 grid and are available via FTP.
This data set includes soil temperature and ground temperature in 10 m boreholes, and active layer thickness, at 30 stations in both natural and disturbed conditions near gas pipelines, measured each September. The stations were also monitored yearly in July-August, and ecological parameters such as species composition, plant abundance, mean height of plants, and projection coverage were measured. A digital landscape map (scale 1 to 5000) was compiled for Nadym station. These data were collected at Circumpolar Active Layer Monitoring (CALM) Program Network Site ID R1.
This data set includes geocryological data from boreholes in the in the Yamburg and Medvezhje gas fields of western Siberia, Russia. Parameters include ground temperature, active layer depth, ground ice, and soil properties, and the data set includes computer modelling. Ground temperature was measured every 1.0 m to adepth of 15 m. Data were collected during 1972-74, 1976, 1984-87, and 1994-2000. Results are presented in tabular form and as engineering-geocryological maps and profiles (scale 1:500 to 1:1000). Data are stored at the National Geocryological Fund, Moscow, under the following Archive Numbers - 16584; 16584, 16664; 15992; 13957; 15727; 15558; 15557; 15805, 15805a; 15745; 12267, 11534, 11601; 11535, 11563; 11536, 12646; 15791, 15792; 11236; 11303; 11631(8824); 11813; 11843(9037); 13198(11094); 13282(9801); 13951; 15518; 15558; 15791; 15792; 15992; 16096; 21071; 19830; 19894; 20018; 20026; 20208; 20304; 20986; 21018; and 21317. This data set is at risk of being lost.
This data set contains shapefiles of termini traces from 294 Greenland glaciers, derived using a deep learning algorithm (AutoTerm) applied to satellite imagery. The model functions as a pipeline, imputing publicly availably satellite imagery from Google Earth Engine (GEE) and outputting shapefiles of glacial termini positions for each image. Also available are supplementary data, including temporal coverage of termini traces, time series data of termini variations, and updated land, ocean, and ice masks derived from the <a href="https://nsidc.org/data/nsidc-0714/versions/1">Greenland Ice Sheet Mapping Project (GrIMP) ice masks</a>.
This data set comprises a time series of annual snow cover data for the Northern Hemisphere (covering land primarily above 45 degrees North) from 1972 to 2000. Data are presented for land areas that exhibited snow cover in each of the 29 years. Variables are the week of snow disappearance, the week of snow cover onset, and the duration of the snow-free period. In addition, summary statistics for each parameter are provided. These are grids of the mean and the standard deviation for the three parameters.
NOTE: The data product titled <a href="https://nsidc.org/data/G10033">U.S. National Ice Center Arctic and Antarctic Sea Ice Concentration and Climatologies in Gridded Format</a> supersedes this product. It begins with charts from January 2003 and is updated weekly.
The U.S. National Ice Center (NIC) is an inter-agency sea ice analysis and forecasting center comprised of the Department of Commerce/NOAA, the Department of Defense/U.S. Navy, and the Department of Homeland Security/U.S. Coast Guard components. Since 1972, NIC has produced Arctic and Antarctic sea ice charts. This data set is comprised of Arctic sea ice concentration climatology derived from the NIC weekly or biweekly operational ice-chart time series. The charts used in the climatology are from 1972 through 2007; and the monthly climatology products are median, maximum, minimum, first quartile, and third quartile concentrations, as well as frequency of occurrence of ice at any concentration for the entire period of record as well as for 10-year and 5-year periods. These climatologies and the charts from which they are derived are provided in the 25-km Equal-Area Scalable Earth Grid (EASE-Grid) binary (.bin) format. The climatologies are also available in ArcGIS geodatabases (.mdb), and GIF format browse files (.gif) are also provided.
To view the browse files and compare climatological periods visually, choose Search Database under the Download Data tab.
Ground based in situ observations of carbon_dioxide at Westerland (DE0001R) using IR_abs. These measurements are gathered as a part of the following projects GAW-WDCGG-node, EMEP and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: carbon_dioxide in air (mass_fraction_of_carbon_dioxide_in_air)
License : GAW-WDCGG-node: , EMEP: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).
Ground based in situ observations of carbon_dioxide at Schauinsland (DE0003R) using IR_abs. These measurements are gathered as a part of the following projects GAW-WDCGG-node, EMEP and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: carbon_dioxide in air (mass_fraction_of_carbon_dioxide_in_air)
License : GAW-WDCGG-node: , EMEP: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).
Ground based in situ observations of carbon_dioxide at Waldhof (DE0002R) using IR_abs. These measurements are gathered as a part of the following projects GAW-WDCGG-node, EMEP and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: carbon_dioxide in air (mass_fraction_of_carbon_dioxide_in_air)
License : GAW-WDCGG-node: , 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, Instituttveien 18, 2007, Kjeller, Norway
Last metadata update: 2021-05-13T00:00:00Z
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Abstract:
Ground based in situ observations of bulk_sampler at Tustervatn (NO0015R). 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: pH in precip (mass_concentration_of_pH_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)., NILU: 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, Instituttveien 18, 2007, Kjeller, Norway
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of bulk_sampler at Tustervatn (NO0015R). 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: magnesium in precip (mass_concentration_of_magnesium_in_precipitation), sodium in precip (mass_concentration_of_sodium_in_precipitation), sulphate_corrected in precip (mass_concentration_of_sulphate_corrected_for_seaspray_expressed_as_sulphur_in_precipitation), sulphate_total in precip (mass_concentration_of_sulphate_total_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)., NILU: 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
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of bulk_sampler at Tågmyra (NO0216R). These measurements are gathered as a part of the following projects NILU and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: precipitation_amount in precip (lwe_thickness_of_precipitation_amount), magnesium in precip (mass_concentration_of_magnesium_in_precipitation), pH in precip (mass_concentration_of_pH_in_precipitation), sodium in precip (mass_concentration_of_sodium_in_precipitation), sulphate_corrected in precip (mass_concentration_of_sulphate_corrected_for_seaspray_expressed_as_sulphur_in_precipitation), sulphate_total in precip (mass_concentration_of_sulphate_total_in_precipitation)
License : NILU: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).