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.
The mooring collected data between January 16th of 2012 to December 18th of 2012 and the CTD casts were done between January 18th of 2012 and January 29 of 2012.
The mooring collected data between January 16th of 2012 to December 18th of 2012 and the CTD casts were done between January 18th of 2012 and January 29 of 2012.
To clarify the mass and heat balance, snow depositional condition on ice sheet, AWS was installed at H128. The H128 Automatic Weather Station (AWS) Data Graph provides a variety of real-time data, including air temperature, relative humidity, wind speed, wind direction, up and down shortwave radiation, up and down longwave radiation, surface air pressure, snow height, snow temperature, and more. The H128 site is located on coastal Dronning Maud Land, East Antarctica (69.4S, 41.57E, 1380 m a.s.l). This AWS is maintained and operated by JARE/NIPR.
The dataset includes vertical profiles of temperature, pressure, horizontal winds, and relative humidity measured by Meisei RS-11G radiosonde and water vapor mixing ratio measured by En-Sci cryogenic frostpoint hygrometer (CFH) in the troposphere and lower stratosphere above Syowa Station (69.0S, 39.6E).
The dataset includes vertical profiles of temperature, pressure, horizontal winds, and relative humidity measured by Meisei RS-11G radiosonde and water vapor mixing ratio measured by En-Sci cryogenic frostpoint hygrometer (CFH) in the troposphere and lower stratosphere above Syowa Station (69S, 40E).
The dataset includes vertical profiles of temperature, pressure, horizontal winds, and relative humidity measured by Meisei RS-11G radiosonde and water vapor mixing ratio measured by En-Sci cryogenic frostpoint hygrometer (CFH) in the troposphere and lower stratosphere above Syowa Station (69.0S, 39.6E).
Institutions: British Antarctic Survey, British Antarctic Survey, NERC EDS UK Polar Data Centre
Last metadata update: 2022-04-29T00:00:00Z
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Abstract:
The ocean surface height is constantly varying under the effects of gravity, density and the Earth''s rotation. Information on the Ocean surface elevation in polar regions is available from the CryoSat2 Radar instrument. We compare ocean surface elevation to a static geoid product (GOCO03s) to give the part of the ocean surface elevation accountable due to surface currents, the Dynamic Ocean Topography (DOT). This measurement is smoothed over 100 km and gives monthly surface currents.
NERC NE/R000654/1 Towards a marginal Arctic sea ice cover.
Institutions: British Antarctic Survey, British Antarctic Survey, NERC EDS UK Polar Data Centre
Last metadata update: 2022-07-01T00:00:00Z
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Abstract:
Between 1980 and 2009, marine macronutrient concentrations (silicate, Si(OH)4-Si; phosphate, PO4-P; nitrate, NO3-N; ammonium, NH4-N; and nitrite, NO2-N) and concurrent temperature and salinity were measured by British Antarctic Survey researchers as part of an integrated ecosystem investigation. Areas sampled included South Georgia and the wider Scotia Sea, around the Antarctic Peninsula, and in the Bellingshausen Sea. The data were collected from aboard the RRS John Biscoe or the RRS James Clark Ross during all months of the year with the exceptions of May and June. Samples were collected from CTD water bottles (vertical profiles) to maximum depth of 5400 m, and by monitoring continuously the ship''s non-toxic seawater supply (intake at 6 - 7 m) while the vessel was transecting. Analyses were performed immediately aboard ship and logged to computer while full data analysis was performed post-cruise using custom written software programmes.
The data collection was enabled through Natural Environment Research Council National Capability funding to the British Antarctic Survey. This was organised through a series of BAS programmes including the Offshore Biological Research programme, the DYNAMOE programme and the ECOSYSTEMS programme. Data creation was facilitated through a combination of NERC funding for Antarctic Logistics and Infrastructure (ALI) Science and the NERC Science Multi-Centre Round 2 (NCSM2) programme BIOPOLE (NE/W004933/1).
Institutions: British Antarctic Survey, British Antarctic Survey, UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation
Last metadata update: 2020-02-25T00:00:00Z
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Abstract:
Long-range airborne geophysical measurements were carried out in the ICEGRAV campaigns (2010-2013), covering hitherto unexplored parts of interior East Antarctica and part of the Antarctic Peninsula. The airborne surveys provided a regional coverage of gravity, magnetic and ice-penetrating radar measurements for major Dronning Maud Land ice stream systems, from the grounding lines up to the Recovery Lakes drainage basin, and filled in major data voids in Antarctic data compilations.We present here the processed line aerogravity data collected using a LaCoste & Romberg air-sea gravity meter S83 mounted in the BAS aerogeophysically equipped Twin Otter aircraft.
Data are provided as XYZ ASCII line data.
Institutions: British Antarctic Survey, British Antarctic Survey, UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation
Last metadata update: 2020-02-25T00:00:00Z
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Abstract:
Long-range airborne geophysical measurements were carried out in the ICEGRAV campaigns (2010-2013), covering hitherto unexplored parts of interior East Antarctica and part of the Antarctic Peninsula. The airborne surveys provided a regional coverage of gravity, magnetic and ice-penetrating radar measurements for major Dronning Maud Land ice stream systems, from the grounding lines up to the Recovery Lakes drainage basin, and filled in major data voids in Antarctic data compilations.We present here the processed line aeromagnetic data collected using scintrex cesium magnetometers mounted on the BAS aerogeophysical equipped Twin Otter.
Data are provided as XYZ ASCII line data.
Institutions: British Antarctic Survey, British Antarctic Survey, UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation
Last metadata update: 2020-02-25T00:00:00Z
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Abstract:
During the austral summer of 2004/05 a collaborative US/UK field campaign undertook a systematic geophysical survey of the entire Amundsen Sea embayment using comparable airborne survey systems mounted in Twin Otter aircraft. Here we present the portion of the survey covering the Pine Island Glacier basin led by British Antarctic Survey. Operating from a temporary field camp (PNE, S 77deg34'' W 095deg56''; we collected ~35,000 km of airborne survey data. Our aircraft was equipped with dual-frequency carrier-phase GPS for navigation, radar altimeter for surface mapping, wing-tip magnetometers, gravity meter, and a new ice-sounding radar system (PASIN). We present here the processed line aerogravity data collected using a LaCoste & Romberg air-sea gravity meter S83 mounted in the BAS aerogeophysically equiped Twin Otter aircraft.
Data are provided as XYZ ASCII line data.
This data set contains ice penetrating radar data from the US-International Trans-Antarctic Science Expedition (ITASE) Traverse, from Taylor Dome to South Pole recorded by the St. Olaf College deep radar system. Parameters include latitude, longitude, distance along profile (m), ice thickness pick (m), surface elevation (m), and bed echo power (relative units) from the approximately 1800 km traverse recorded during the 2006-2007 and 2007-2008 Antarctic field seasons (austral summer). The traverse has been broken into three segments, which are shown on three maps provided with the data. A sample radar profile covering approximately 120 km of the traverse near Titan Dome is also provided.
Data are available via FTP as ASCII text files (.txt). Profile location maps and sample profile sections are available as Joint Photographic Experts Group (.jpg) image files.
Information from 6-meter snow pits dug close to the South Pole in
austral summer 1988-1989 by the Glacier Research Group of the
University of New Hampshire (location - 38 km on grid 90 from South
Pole station - eastern margin of clean air sector) are available.
Major ion chemistry (Na, K, Mg, Ca, Cl, NO3, SO4), oxygen isotopes
(I8O), H2O2, and beta from a 6-meter snow pit covering the period 1955
to 1989 are included. Major ion chemistry for a series of surface snow
samples were also collected on the traverse to the pit.
Weekly Southern Ocean ice limits, have been digitized from U.S. Navy Fleet Weather Facility ice charts, at the Max-Planck Institut fur Meteorologie, Hamburg. Coverage is from 1 January 1973 to 31 June 1978. Data are gridded at 5 degree longitude intervals and are available via ftp.
<strong>Note:</strong> NOAA@NSIDC believes these data to be of value, however, they should be used with caution because we are unable to quality check the data or provide documentation due to lack of funding. If you have any information about this data set that others would find useful, please contact <a href="mailto:nsidc@nsidc.org">NSIDC User Services</a>.
The high-resolution Radarsat Antarctic Mapping Project (RAMP) Digital Elevation Model (DEM) combines topographic data from a variety of sources to provide consistent coverage of all of Antarctica.