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 VERLEGENHUKEN
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 KARL XII OYA
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 ANDOYA
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 EDGEOYA
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 SVALBARD AP
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 SORKAPPOYA
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 PYRAMIDEN
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 KVITOYA
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
Institutions: Norwegian Meteorogical Institute, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2022-12-06T10:08:42Z
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Abstract:
Time series of Monthly Mean Sea Ice Extent (SIE) for Global, computed from the EUMETSAT OSI SAF Sea Ice Concentration (SIC) Climate Data Records v2. EUMETSAT OSI SAF data, with Research and Development input from the ESA Climate Change Initiative programme.
Institutions: Norwegian Meteorogical Institute, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2022-12-06T10:08:37Z
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Abstract:
Time series of Daily Sea Ice Extent (SIE) for Global, computed from the EUMETSAT OSI SAF Sea Ice Concentration (SIC) Climate Data Records v2. EUMETSAT OSI SAF data, with Research and Development input from the ESA Climate Change Initiative programme.
Institutions: Norwegian Meteorogical Institute, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2022-12-06T10:17:54Z
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Abstract:
Time series of Monthly Mean Sea Ice Area (SIA) for Global, computed from the EUMETSAT OSI SAF Sea Ice Concentration (SIC) Climate Data Records v2. EUMETSAT OSI SAF data, with Research and Development input from the ESA Climate Change Initiative programme.
Institutions: Norwegian Meteorogical Institute, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2022-12-06T10:17:50Z
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Abstract:
Time series of Daily Sea Ice Area (SIA) for Global, computed from the EUMETSAT OSI SAF Sea Ice Concentration (SIC) Climate Data Records v2. EUMETSAT OSI SAF data, with Research and Development input from the ESA Climate Change Initiative programme.
Institutions: British Antarctic Survey, British Antarctic Survey, NERC EDS UK Polar Data Centre
Last metadata update: 2022-03-16T00:00:00Z
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Abstract:
Dataset is comprised of X-ray fluorescence (XRF) data from sediments from International Ocean Discovery Program (IODP) Expedition 382, Site U1534, South Falkland Sediment Drift, 53.18967 S, 58.76083 W (605 m water depth).
The sediment cores were collected from 3 holes using the advanced piston corer onboard RV Joides Resolution from site U1534 between 29/03/2019 and 02/04/2019. XRF data was collected using the XRF Core Scanner III (AVAATECH Serial No. 12) at the XRF Core Scanner Lab at the MARUM (Center for Marine Environmental Sciences, University of Bremen, Germany), March-May 2021.
The data were collected as part of a project aiming to investigate the sensitivity of the Atlantic Meridional Overturning Circulation to variability in Pacific-Atlantic connectivity via the ''cold water route''. Dr Victoria Louise Peck was the principle investigator for this project.
Funding provided by NERC UKIODP moratorium grant NE/T010908/1
Institutions: British Antarctic Survey, British Antarctic Survey
Last metadata update: 2022-03-22T00:00:00Z
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Abstract:
The number of Fur and Elephant seals around the base on Signy Island have been counted daily between January and March since 1992. Details of the area counted are given in the 1992 Seal Mammal report (AD6/2H/1992/NM3).
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).