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)
Institutions: 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
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).
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, 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, 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, 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
Institutions: 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, 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.
Institutions: British Antarctic Survey, NERC EDS UK Polar Data Centre
Last metadata update: 2022-03-30T00:00:00Z
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Abstract:
We conduct a global survey of magnetosonic waves and compute the associated bounce and drift averaged diffusion coefficients, taking into account co-located measurements of fpe/fce, to assess the role of magnetosonic waves in radiation belt dynamics, where fpe is the plasma frequency and fce is the electron gyrofrequency.. The average magnetosonic wave intensities increase with increasing geomagnetic activity and decreasing relative frequency with the majority of the wave power in the range fcp < f < 0.3fLHR during active conditions, where fcp is the proton gyrofrequency and fLHR is the lower hybrid resonance frequency. In the region 4.0 <= L* <= 5.0, the bounce and drift averaged energy diffusion rates due to magnetosonic waves never exceed those due to whistler mode chorus, suggesting that whistler mode chorus is the dominant mode for electron energisation to relativistic energies in this region. Further in, in the region 2.0 <= L* <= 3.5, the bounce and drift averaged pitch angle diffusion rates due to magnetosonic waves can exceed those due to plasmaspheric hiss and very low frequency (VLF) transmitters over energy-dependent ranges of intermediate pitch angles. We compute electron lifetimes by solving the 1D pitch angle diffusion equation including the effects of plasmaspheric hiss, VLF transmitters and magnetosonic waves. We find that magnetosonic waves can have a significant effect on electron loss timescales in the slot region reducing the loss timescales during active times from 5.6 to 1.5 days for 500 keV electrons at L* = 2.5 and from 140.4 days to 35.7 days for 1 MeV electrons at L* = 2.0.
The research leading to these results has received funding from the Natural Environment Research Council (NERC) Highlight Topic grant NE/P01738X/1 (Rad-Sat) and the NERC grants NE/V00249X/1 (Sat-Risk) and NE/R016038/1.
Institutions: British Antarctic Survey, UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation
Last metadata update: 2020-04-03T00:00:00Z
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Abstract:
We present two new gridded bathymetric compilations of the Orkney Passage, Scotia Sea here defined by the following bounding boxes: 39.1 to 39.6 W, 60.55 to 60.7 S and 41.7 to 42.6 W, 60.45 to 60.8 S.
These bathymetry grids were compiled from a variety of multibeam swath bathymetry data acquired during 12 different cruises (see lineage). The data is available as grids of 50 m resolution in a GMT-compatible (2-D) NetCDF format using geographic coordinates on the WGS84 datum.
This grid was compiled in support of the ongoing monitoring efforts in and around Orkney Passage as part of the Ocean Regulation of Climate by Heat and Carbon Sequestration and Transports (ORCHESTRA) programme and preceding BAS NC projects, and the Dynamics of the Orkney Passage Outflow (DynOPO) project.
Funding was provided by the NERC grants NE/K012843/1 and NE/N018095/1 as well as national capability
Institutions: British Antarctic Survey, UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation
Last metadata update: 2020-06-26T00:00:00Z
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Abstract:
This dataset includes ~3,000 line km of radio-echo sounding data along the English Coast of western Palmer Land in the Antarctic Peninsula. Data was acquired by the British Antarctic Survey Polarimetric-radar Airborne Science Instrument (PASIN2) ice sounding radar system in the austral summer of 2016/2017. Radar lines collected at ~3-5 km line spacing transect a number of outlet glacier flows, close to the grounding line, where continental ice begins to float.
Data were funded by a BAS National Capability grant.
The British Antarctic Survey holds magnetic data measuring the plasmaspheric mass loading on magnetic field lines in Antarctica. The network of Low Power Magnetometer (LPM) instruments consists of permanent and temporary sites. The data is collected in 3 D fluxgate at up to 1 second and 1 nT resolution. Samples are taken once a second for 150 milliseconds at maximum power. This decreases to once a minute if power is low over the winter. Time and position is measured using an attached GPS system.
The British Antarctic Survey holds magnetic data measuring the plasmaspheric mass loading on magnetic field lines in Antarctica. The network of Low Power Magnetometer (LPM) instruments consists of permanent and temporary sites. The data is collected in 3 D fluxgate at up to 1 second and 1 nT resolution. Samples are taken once a second for 150 milliseconds at maximum power. This decreases to once a minute if power is low over the winter. Time and position is measured using an attached GPS system.
Institutions: British Antarctic Survey, NERC EDS UK Polar Data Centre
Last metadata update: 2021-04-19T00:00:00Z
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Abstract:
This is distributed temperature sensing (DTS) data from a 1,043 m borehole drilled to the base of Sermeq Kujalleq (Store Glacier), Greenland, 28 km inland from the glacier terminus. The DTS system was installed on 5 July 2019, with recordings continuing until cable failure on 13 August 2019. The record resolution is ~0.65 m.
This work was primarily funded and conducted as part of the European Research Council RESPONDER project (https://www.erc-responder.eu/) under the European Union''s Horizon 2020 research and innovation program (Grant 683043). Robert Law was supported by Natural Environment Research Council Doctoral Training Partnership studentships (Grant NE/L002507/1).
Institutions: British Antarctic Survey, UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation
Last metadata update: 2020-01-29T00:00:00Z
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Abstract:
Ground penetrating radar (GPR) data were acquired at a site on Antarctica''s Larsen C Ice Shelf, in November 2017. The acquisition was performed to measure radar anisotropy, a potential proxy for the stress condition in the upper ice shelf, following the calving of Iceberg A68 in July 2017. Two GPR common midpoint (CMP) gathers were acquired at Site S2, a site previously surveyed during the NERC funded NE/E013414/1 SOLIS project. These gathers were acquired first with GPR antennas extended in the flow-parallel direction (~ east), and then in the flow-orthogonal direction. The GPR system is a Sensors & Software pulseEKKO PRO, with 200 MHZ antennas. All acquisitions were performed by Dr Jim White (British Geological Survey) and Emma Pearce (University of Leeds, School of Earth and Environment), with support from BAS.
The data is part of the NERC RACE project, NE/R012334/1.