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, 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, 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, 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, British Antarctic Survey, British Antarctic Survey
Last metadata update: 2022-03-22T00:00:00Z
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Abstract:
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, British Antarctic Survey, British Antarctic Survey
Last metadata update: 2022-03-22T00:00:00Z
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Abstract:
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, British Antarctic Survey, UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation
Last metadata update: 2021-03-29T00:00:00Z
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Abstract:
The output of a 40-year coupled ice-ocean run of Smith Glacier, the adjoining Dotson and Crosson ice shelves, and the nearby continental shelf, with ocean boundary conditions forced with a climatology downscaled from a regional model of the Amundsen Sea.
Funding was provided by the NERC Standard Grant NE/M003590/1 - Is ice loss from West Antarctica driven by ocean forcing or ice and ocean feedbacks?
Institutions: British Antarctic Survey, British Antarctic Survey, Polar Data Centre,Natural Environment Research Council,UK Research & Innovation
Last metadata update: 2021-03-15T00:00:00Z
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Abstract:
This dataset contains rates of mass change and cumulative mass change and their associated uncertainty for the Antarctic Ice Sheet (in its entirety and split into West Antarctica, East Antarctica and the Antarctic Peninsula), the Greenland Ice Sheet, and their sum between 1992 and 2020. The data are reconciled estimates of mass balance from three independent satellite-based techniques: altimetry, gravimetry and input-output method. This dataset is part of the Ice Sheet Mass Balance Intercomparison Exercise (IMBIE).
This work is an outcome of the Ice Sheet Mass Balance Inter-Comparison Exercise IMBIE) supported by the ESA Climate Change Initiative and the NASA Cryosphere Program. Andrew Shepherd was additionally supported by a Royal Society Wolfson Research Merit Award and the UK Natural Environment Research Council Centre for Polar Observation and Modelling (cpom30001).
Institutions: British Antarctic Survey, British Antarctic Survey, Polar Data Centre; British Antarctic Survey, Natural Environment Research Council; Cambridge, CB3 0ET, UK.
Last metadata update: 2022-03-22T00:00:00Z
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Abstract:
Water column acoustic data collected in the Scotia Sea (from 2012-11-15 to 2012-12-11) during cruise JR280.
Multi-frequency (38,120 and 200 kHz) acoustic data were collected using a Simrad EK60 echo sounder. The dataset comprises of calibrated and processed 38 kHz volume backscattering strength (Sv, dB re 1m-1). Data processing was undertaken using Echoview and Matlab. Processed netCDF data files are made available as part of the NERC Southern Ocean Network of Acoustics (SONA) and the EU MESOPP project.
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: 2020-11-23T00:00:00Z
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Abstract:
The colony size and breeding success of Gentoo penguins (Pygoscelis papua) on Goudier Island, monitored annually 1996 - 2020. The data presented here includes the number of breeding pairs, the number of chicks that hatched from their eggs (approximately the mid-point in the annual breeding season) and the number of chicks present in creches at defined sub-colonies prior to fledging.
Institutions: British Antarctic Survey, British Antarctic Survey, NERC EDS UK Polar Data Centre
Last metadata update: 2023-02-24T00:00:00Z
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Abstract:
The dataset comprises of sedimentological, geochemical, biological and chronological data from a sediment core record extracted from Kiteschsee Lake sediment, Fildes Peninsula, King George Island, South Shetland Islands. We undertook multi-proxy analyses (diatom, grain size, geochemical and sedimentological) on a 77 cm-long sediment record extracted from the flat-bottomed eastern basin depocentre of Kiteschsee Lake and compared data obtained with published lake records from the Fildes Peninsula.
Data collected in this study were funded by: Centro de Investigaciones en Ciencias de la Tierra (CICTERRA), the Direccion Nacional del Antartico/Instituto Antartico Argentino (DNA/IAA) in the framework of the Project PICTA, 2011 - 0102, IAA "Geomorfologia y Geologia Glaciar del Archipielago James Ross e Islas Shetland del Sur, Sector Norte de la Peninsula Antartica"; the Alfred Wegener Institute (AWI) research program Polar regions and Coasts in a changing Earth System (PACES II); IMCONet (FP7 IRSES, action no. 318718); the Natural Environment Research Council (NERC/BAS-CGS Grant no.81); the NERC/BAS science programmes CACHE-PEP: Natural climate variability - extending the Americas palaeoclimate transect through the Antarctic Peninsula to the pole and GRADES-QWAD: Quaternary West Antarctic Deglaciations. We thank the crews of the Argentine research station "Carlini" and the adjoined German Dallmann-Labor (AWI) Laboratory, the Uruguayan research station "Artigas", the Russian Bellingshausen Station, the Chinese Great Wall Station, Base Presidente Eduardo Frei Montalva, the Brazilian Navy Almirante Maximiano, the UK Navy HMS Endurance and NERC/BAS James Clark Ross for logistical support during the 2006, 2011, 2014 and 2015 field seasons.
Coastline for Antarctica created from various mapping and remote sensing sources, provided as polygons with ''land'', ''ice shelf'', ''ice tongue'' or ''rumple'''' attribute. Covering all land and ice shelves south of 60degS. Suitable for topographic mapping and analysis. Data compiled, managed and distributed by the Mapping and Geographic Information Centre and the UK Polar Data Centre, British Antarctic Survey on behalf of the Scientific Committee on Antarctic Research.
Institutions: British Antarctic Survey, British Antarctic Survey, British Antarctic Survey
Last metadata update: 2016-06-24T00:00:00Z
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Abstract:
Genetic variation on a spatial scale was assessed, using both DNA fingerprinting and sequencing-based approaches, in the Antarctic endemics Buellia frigida, Carbonia vorticosa and Amandinea petermananii, and in the bipolar species Caloplaca saxicola, Umbilicaria decussata and Cladonia galindezii. PCR-based (Polymerase Chain Reaction) molecular biology techniques, were used as they are ideal for working with lichens because little starting material is required. See Fabian et al. 2007 for further information on analyses and results.
Institutions: British Antarctic Survey, British Antarctic Survey, NERC EDS UK Polar Data Centre
Last metadata update: 2022-03-22T00:00:00Z
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Abstract:
The weights of fledging Macaroni penguin chicks at Bird Island have been monitored since 1989. The colony at Fairy Point, also known as Little Mac, contains approximately 400 breeding pairs. Each year, just before their departure from the colony, a sample of 100 fledgling birds are weighed as part of the Bird Island long-term monitoring programme. This data is submitted to the Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR) as part of their Ecosystem Monitoring Programme (CEMP).
This work was funded by Natural Environment Research Council (UK) core funding to the British Antarctic Survey.
Institutions: British Antarctic Survey, British Antarctic Survey, UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation
Last metadata update: 2020-02-10T00:00:00Z
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Abstract:
Whole island counts of the number of active nests of South Georgia shag Leucocarbo [atriceps] georgianus on Bird Island. Counts were first made in 1989-1990. A repeat count was made in 1994-95 and from 2012-13 onwards active nests have been counted either biennially or annually.