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 by changing the operators used in the text field and prefixing words with '+' and '-' to indicate whether they have to be present or should not be present 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.
Citation of data and service
If you use data retrieved through this portal, please acknowledge the efforts of the data portal and the data centres contributing.
The information required to properly cite a dataset is normally provided in the discovery metadata the datasets.
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)
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from VENDINGA
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from PUDOZ
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from JARENSK
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from KOTLAS
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from BELOZERSK
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from VILEGODSKOE
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from OB'JACEVO
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from PECHORA
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from UHTA
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from TESLIN (AUT), YT
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from INUVIK AWOS A, NWT
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
Institutions: British Antarctic Survey, British Antarctic Survey, British Antarctic Survey
Last metadata update: 2016-12-06T00:00:00Z
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Abstract:
Digital seismic reflection data collected during the RABID project in the 2004-2005 field season, using a BISON 9024 seismograph. The seismic survey was carried out ~40km upstream from the grounding line of Rutford Ice Stream, and repeated relevant sections of a 1991 and 1997 survey. Data was collected using 24 channels arranged at 10m spacing. The survey geometry produced four single fold lines with 5 m reflection-point spacing at the bed. The first seismic line (Tyree04 Line) was orientated across the ice stream, the other three (Mogensen Line, Tolly Line and Rabid Line) were in line with the ice flow and intersected the first line at different locations.
The RABID project employed hot-water drilling techniques, down-hole instrumentation, as well as surface geophysical measurements, to form an integrated programme studying ice dynamics, basal conditions, climate and glacial history.
Funding was provided by the UK NERC Antarctic Funding Initiative (AFI).
Institutions: British Antarctic Survey, British Antarctic Survey, Polar Data Centre, Natural Environment Research Council
Last metadata update: 2020-01-29T00:00:00Z
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Abstract:
Seventy-nine Antarctic ice core snow accumulation records were gathered as part of a community led project coordinated by the PAGES Antarctica 2k working group. Individual ice core records (kg m2 yr-1) were normalised relative to a reference period (1960-1990). The normalised records were separated into seven geographical regions and averaged together to form the regional composites. The seven geographical regions are: East Antarctica; Wilkes Land Coast; Weddell Sea Coast; Antarctic Peninsula; West Antarctic Ice Sheet; Victoria Land; and Dronning Maud Land. Full data description and methods can be found in Thomas et al., 2017.
This record also includes the original data, from which the composite records were produced.
Due to erroneous data contained in the files, this dataset has been superseded by a corrected version. Please use that corrected dataset in preference to this one to avoid the problem. The DOI for the updated data is: 10.5285/cc1d42de-dfe6-40aa-a1a6-d45cb2fc8293
Institutions: British Antarctic Survey, British Antarctic Survey, NERC EDS UK Polar Data Centre
Last metadata update: 2021-08-31T00:00:00Z
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Abstract:
Datasets from the Resolving subglacial properties, hydrological networks and dynamic evolution of ice flow on the Greenland Ice Sheet (RESPONDER) project as published in the paper by Chudley et al. entitled "Controls on water storage and drainage in crevasses on the Greenland Ice Sheet".
This dataset consists of remotely sensed observations of water-filled crevasses across a marine-terminating sector of the west Greenland Ice Sheet between 2017 and 2019.The dataset presented here includes all data necessary to replicate the findings presented in the main paper, including UAV photogrammetry-derived raster data (producing a series of orthophotos and digital elevation models) and observations from satellite-derived data (Sentinel-2, ArcticDEM, and MEaSUREs Greenland velocity data) of crevasse presence, water presence, and estimates of surface stress.
This research was funded by the European Research Council as part of the RESPONDER project under the European Union''s Horizon 2020 research and innovation program (Grant 683043). Tom Chudley was supported by a Natural Environment Research Council Doctoral Training Partnership Studentship (Grant NE/L002507/1).
Institutions: British Antarctic Survey, British Antarctic Survey, UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation
Last metadata update: 2020-08-07T00:00:00Z
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Abstract:
Using the British Antarctic Survey''s DeHavilland Dash-7, approximately 10,000 line-km of data were collected from the Black Coast and adjacent Weddell Sea embayment, which is situated ca. 600 km southeast of the airfield at Rothera Station . Flight lines were spaced at 10-km intervals with perpendicular tie lines spaced at 40 km. Where time and fuel allowed, selected areas were infilled at a 5-km line spacing. The marine part of the survey was flown at around less than 1000 m above sea level.We present here the processed line aeromagnetic data acquired using scintrex cesium magnetometers mounted on the BAS aerogeophysical equiped Dash-7.
Data are provided as XYZ ASCII line data.