The core partner data centres that are integrated in NorDataNet are listed in https://www.nordatanet.no/en/node/69. In addition to this NorDataNet harvests information on relevant datasets from a number of other data centres. The data centre responsible for the data presented is usually (but not always) listed in the discovery metadata. In essence NorDataNet is an aggregating service that combines information from a number of existing data centres.
Citation of data and service
If you use data retrieved through this portal, please acknowledge our funding source:
Research Council of Norway, project number 245967/F50, Norwegian Scientific Data Network.
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)
All partner repositories of NorDataNet support Digital Object Identifiers (DOI), but not all datasets are minted. Whether or not minted depends often on source of the data (e.g. operational data are often yet not minted). However, all data centres support persistent identifiers according to local systems. The information required to properly cite a dataset is normally provided in the discovery metadata the datasets.
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 identified in the drop down menu with and phrases embedded in quotation marks. Prefixing a phrase with '-' negates the phrase (i.e. should not occur in the results). 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. The combination of search fields (including facets) is based on a logical "AND" combination of the fields, i.e. all conditions are fulfilled for the results provided.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2024-05-02T11:12:00Z
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Abstract:
Gridded ice displacement fields obtained from satellite image processing. It is a low resolution product (62.5km resolution). The time span of the ice displacement is approximately 48 hours. This dataset is intended both for process studies and data assimilation. Daily products are freely available from the OSI SAF distribution chain.
License : All intellectual property rights of the OSI SAF products belong to EUMETSAT. The use of these products is granted to every interested user, free of charge. If you wish to use these products, EUMETSAT's copyright credit must be shown by displaying the words "copyright (year) EUMETSAT" on each of the products used.
Access: Open
International Polar Year, Integrated Arctic Ocean Observing System - Norway, Developing Arctic Modeling and Observing Capabilities for Long-term Environmental Studies (IPY, iAOOS-Norway, DAMOCLES)
Institutions: Norwegian Polar Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2023-08-14T15:28:42Z
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Abstract:
Radiation measurements made during the spring 2008 cruise to the Fram Strait. Transmission of light through ice, measured by divers on day 4 of fifth floe. At fourth site, approx. 20 m from ice edge, 0.42 m snow on 1.04 m ice. Each measurement type (incident, reflected, etc) was made with a different TriOS Ramses spectroradiometer. These are known to have calibration issues at the longest and shortest wavelengths for which data are reported; we recommend using only data from about 350 to 920 nm. No significant quality control has been done to these data.
Institutions: NPI Norwegian Polar Institute, Norwegian Meteorological Institute / Arctic Data Centre, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2022-11-15T12:48:12Z
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Abstract:
Radiation measurements made during the the second half of August2008 during a
long ice station from the ice breaker Oden. Each measurement type (incident,
reflected, etc) was made with a different TriOS Ramses spectroradiometer. See
Nicolaus et al., 2010, CRST 62(1) 14-28 doi:10.1016/j.coldregions.2010.03.001,
for more information. These sensors are known to have calibration issues at the
longest and shortest wavelengths for which data are reported; we recommend using
only data from about 350 to 920 nm. No significant quality control has beendone
to these data.
Institutions: NPI Norwegian Polar Institute, Norwegian Meteorological Institute / Arctic Data Centre, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2022-11-15T12:48:12Z
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Abstract:
Spectral albedo measurements on sea ice during the third CHINARE expedition with
the Chinese ice breaker MS Xuelong in the Chukchi Sea from 20 to 29 August
2008.Each measurement type (incident, reflected) was made with a different TriOS
Ramses spectroradiometer. These sensors are known to have calibration issues at
the longest and shortest wavelengths for which data are reported; we recommend
using only data from about 350 to 920 nm. No significant quality control has
beendone to these data. Station descriptions: Ia, 20 Aug. 15:00 to 21 Aug.
07:30, Level ice with open melt pond near by, zi: 2.8m, fb: 34 cm, zs: 2-3 to 9
cm. Ib, 21 Aug. 10:30 to 22 Aug. 21:50, Same as Ia, just re-installed after
station fell over. II, 22 Aug. 23:00 to 25 Aug. 02:40, Over refrozen melt pond
and level ice, increasing amount of snow on melt pond with time (snow drift).
III, 25 Aug. 03:50 to 25 Aug. 05:20, Half over snow, half over melt pond,
station fell over after short time, zs: 7 cm. 25 Aug. 05:20 to 26 Aug. 08:40, No
useful data, station fallen over. IV, 26 Aug. 08:40 to 29 Aug. 00:20, Set-up
over open lead, other activities close by, zs: 9 cm, changing cloud cover, new
ice formation in lead (5-7 cm at end).
Institutions: Norwegian Meteorological Institute / Arctic Data Centre, Alfred Wegener Institute for Polar and Marine Research, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2023-08-07T12:10:02Z
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Abstract:
A 350 km long HEM profile of ice thickness has been obtained between the North Pole and 87N, 60W, in April 2007 as part of the Damocles Tara activities
Institutions: NPI Norwegian Polar Institute, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2022-11-15T12:48:12Z
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Abstract:
Radiation measurements made during the spring and summer2009 near the sailing
vessel vagabond, frozen in at Inglefieldbukta in Storfjorden, Svalbard. Each
measurement type (incident, reflected, etc) was made with a different TriOS
Ramses spectroradiometer. The incident and reflected sensors were installed on a
rack frozen into the ice in mid April. The transmitted sensor was held in an
underwater rack hanging just below the ice. It was installed in early May
through a core hole, which subsequently refroze. These sensors are known to have
calibration issues at the longest and shortest wavelengths for which data are
reported; we recommend using only data from about 350 to 920 nm. No significant
quality control has beendone to these data.
Institutions: British Antarctic Survey, British Antarctic Survey, NERC EDS UK Polar Data Centre
Last metadata update: 2022-05-19T00:00:00Z
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Abstract:
This dataset comprises summary statistics regarding historical and projected Southern Hemisphere total sea ice area (SIA) and 21st century global temperature change (dTAS), evaluated from the multi-model ensembles contributing to CMIP5 and CMIP6 (Coupled Model Intercomparison Project phases 5 and 6). The metrics are evaluated for two climatological periods (1979-2014 and 2081-2100) from a number of CMIP experiments; historical, and ScenarioMIP or RCP runs. These metrics were calculated to calculate projections of future Antarctic sea ice loss, and drivers of ensemble spread in this variable, for Holmes et al. (2022) "Antarctic sea ice projections constrained by historical ice cover and future global temperature change".
Funding was provided by the British Antarctic Survey Polar Science for Planet Earth Programme and under NERC large grant NE/N01829X/1
This data set includes yearly snow melt onset dates over Arctic sea ice derived from Scanning Multichannel Microwave Radiometer (SMMR), Special Sensor Microwave/Imager (SSM/I), and the Special Sensor Microwave Imager/Sounder (SSMIS) brightness temperature measurements. The data are gridded to the 25 km Northern Hemisphere Polar Stereographic projection and available from 1979 through 2022. One browse image is available for each year.
This data set also contains value-added statistics for each grid cell, including: mean melt onset date, latest (maximum) melt onset date, earliest (minimum) melt onset date, range of melt onset dates (the difference between maximum and minimum onset dates), and the standard deviation of melt onset dates. One browse image is also provided for each statistical field.
The Sea Ice Experiment - Dynamic Nature of the Arctic (SEDNA) is an international collaborative effort to improve the understanding of the interaction between sea ice dynamics and Arctic climate. It was also the first International Polar Year 2007-2008 field project.
The SEDNA data portal provides access to many and varied data sets from the diverse set of campaign participants. The data portal holds 37 entries from remote sensing to in situ measurements collected during the ice camp in March and April 2007. This data collection is distributed by the International Arctic Research Center (IARC) at the University of Alaska Fairbanks (UAF). NSIDC maintains the metadata for this data collection, so the data are easier to find through the NSIDC data catalog and those catalogs with which NSIDC shares metadata. This summary and metadata are accurate as of June 2011. The UAF archive site may have more recent data updates and publications, please visit their site for the most up-to-date information.
The mass balance of sea ice and the evolution of sea ice thickness distribution is a key component of the Arctic system. It is controlled by thermodynamic ice growth and melt, mechanical redistribution through ridging and rafting, and transport. The SEDNA experiment was designed in a regional Lagrangian frame of reference and tracked the evolution of a region of ice surrounding the Applied Physics Laboratory Ice Station (APLIS) 2007 ice camp in an effort to evaluate the role of mechanical redistribution on ice thickness distribution. The SEDNA data collection is unique in that several ice thickness data sets were inter-calibrated and coordinated with monitoring of the ice pack strain-rate (horizontal deformation) and measurements of internal ice stress. This experiment was designed to improve our understanding of the relationship between sea ice thickness and dynamics and to investigate the stress and strain-rate relationships with a comprehensive suite of spatio-temporal coincident observations.
Measurements were made with the aim of resolving the time evolving ice thickness distribution in the vicinity of the ice camp, to map ice pack deformation (strain-rate), and track strain-rate and internal ice stress in time. This has required a detailed inter-comparison of ice thickness measurements from a number of sources including submarine upward looking sonar (ULS) (Peter Wadhams), AUV multi-beam ULS (Peter Wadhams and Martin Doble), airborne LIDAR (Rene Forsberg), Helicopter borne electromagnetic induction (EMI) (Christian Haas), and in situ snow and ice measurements with drill and EM-31 soil surveyor (Cathy Geiger and Jackie Richter-Menge). Sea ice deformation was mapped in near-real time from analysis of RADARSat-1 ScanSAR-B by the Map of Moving Topography method (Mani Thomas, Chandra Kambhattmettu, and Cathy Geiger), and high temporal sampling was achieved with an array of GPS drifting buoys (Jenny Hutchings). Matt Pruis used GPS buoys to measure deformation of single leads. Ice stress and mass balance were measured with CRREL stress buoys (Jackie Richter-Menge). Additional measurements include a 3-m weather station (Andrew Roberts), CTD profiles every six hours (Jeremy Wilkinson), downward looking Acoustic Doppler Current Profiler (ADCP), and met-buoys (Ignatius Rigor).
Data are generally available in three formats: the original format, netCDF, and ASCII. The original version is not always well documented. The netCDF version includes carefully collected documentation placed in
the header fields of the netCDF file. Often, data are also available in a separate ASCII file as columns of data concatenated behind the netCDF header information in plain text form.
SEDNA is supported by the NSF Grant "Collaborative Research: Detailed Investigation of the Dynamic Component of Sea Ice Mass Balance" (OPP ARC 0612527 (UAF), 0611991 (CRREL), and 0612105 (University of Delaware)).
This data set reports sea ice surface temperature (IST) derived from radiance data acquired by the Visible Infrared Imager Radiometer Suite (VIIRS). Following the approach used by MODIS, the algorithm converts VIIRS calibrated radiances into brightness temperature and computes IST using a split-window technique.
VIIRS flies on board the Joint Polar Satellite System 1 (JPSS-1), also known as NOAA-20.
This data set (NmIDCS3G) consists of daily, global image composites constructed from Nimbus 3 and Nimbus 4 Image Dissector Camera System (IDCS) imagery for the region between 60 N and 60 S. Images were acquired between 23 April, 1969 - 04 January, 1971. Data are available as GeoTIFFs and browse images. For HDF5 formatted version of these data, see <a href="http://dx.doi.org/10.5067/NIMBUS/NmIDCS3H">Nimbus Image Dissector Camera System Remapped Visible Imagery Daily L3, HDF5</a>.
The National Snow and Ice Data Center holds a collection of charts depicting ice conditions in the seas off Alaska and western Canadian coasts. Ice edge position and some ice concentration and other information are included, though the notations on the charts are often sparse and discontinuous in space and time, especially for older charts in the series. These charts, more that 6,800 in number, were donated to NSIDC by the estate of William S. Dehn. NSIDC has partnered with the NOAA Climate Database Modernization Program (CDMP) and the National Geophysical Data Center (NGDC) to scan the charts and to make them available through a searchable interface.
These charts, created by the Danish Meteorological Institute (DMI), provide observed and inferred sea ice extent for each summer month from 1893 to 1956. From 1893 to 1956, the Danish Meteorological Institute (DMI) created charts of observed and inferred sea ice extent for each summer month. These charts are based on compiled observations of ice conditions reported by a variable network of national organizations, shore-based observers, scientific expeditions, and ships as detailed in each report; in cases where no observations were available, the lead mapmakers extrapolated further ice cover using their knowledge of ice movement. Except for where direct observations are indicated, caution is advised in using the charts’ ice edge because there is no way to quantify the assumptions used in extrapolating ice edge or the error involved in this method. See the note on reliability for further discussion of potential error. The charts were scanned at the Icelandic Meteorological Office (IMO) and are being made available here as a service and in cooperation with DMI and other contributors. In all, there are 266 image files containing 291 images.<br/><br/>
<p>For a gridded data set derived from this product, see the <a href="https://nsidc.org/data/g10007/">Arctic Sea Ice Concentration and Extent from Danish Meteorological Institute Sea Ice Charts, 1901-1956</a>data set</p>
This film documents the activities that occurred on Drifting Station Alpha in the Arctic Ocean during the International Geophysical Year, 1957 to 1958. The film is narrated by project leader, Norbert Untersteiner, and chronicles the life of the team as they built their camp and set up experiments. Station Alpha drifted in an area of the Arctic ocean located 500 km north of Barrow, Alaska USA from April 1957 to November 1958; the film covers this entire time period. The file is available for download in .mp4 format via FTP.
This data set reports sea ice cover/extent derived from radiance data acquired by the Visible Infrared Imager Radiometer Suite (VIIRS). Following the approach used by MODIS, the algorithm converts VIIRS calibrated radiances into brightness temperature and computes sea ice cover using Normalized Difference Snow Index (NDSI).
VIIRS flies on board the Joint Polar Satellite System 1 (JPSS-1), also known as NOAA-20.