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  • Coastline for Antarctica created from various mapping and remote sensing sources, consisting of the following coast types: ice coastline, rock coastline, grounding line, ice shelf and front, ice rumple, and rock against ice shelf. Covering all land and ice shelves south of 60S. Suitable for topographic mapping and analysis. High resolution versions of ADD data are suitable for scales larger than 1:1,000,000. The largest suitable scale is changeable and dependent on the region. Major changes in v7.5 include updates to ice shelf fronts in the following regions: Seal Nunataks and Scar Inlet region, the Ronne-Filchner Ice Shelf, between the Brunt Ice Shelf and Riiser-Larsen Peninsula, the Shackleton and Conger ice shelves, and Crosson, Thwaites and Pine Island. Small areas of grounding line and ice coastlines were also updated in some of these regions as needed. 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.

  • This gridded dataset provides geometry (ice thickness and bedrock topography) covering the Pine Island Glacier catchment. It has been created using the principle of mass conservation, given observed fields of velocity, surface elevation change and surface mass balance, together with sparse ice thickness data measured along airborne radar flight-lines. Previous ice flow modelling studies show that gridded geometry products that use traditional interpolation techniques (e.g. Bedmap2) can result in a spurious thickening tendency near the grounding line of Pine Island Glacier. Removing the cause of this thickening signal, in order to more accurately model ice flow dynamics, has been the motivation for creating a new geometry that is consistent with the conservation of mass. This data was funded by a PhD project within the iSTAR-C programme (with NERC grant reference NE/J005738/1).

  • This dataset captures information on the diet composition and mass of Adelie penguin stomach contents at Signy Island, from 1997 to 2020. The monitoring period occurred over four weeks each year and involved sampling adults returning to feed their chicks during the creche period. Sampling took place approximately every five days. Numbers of birds sampled on each occasion varied over the entire period of the dataset from a maximum of eight to a minimum of six, equating to an annual maximum of forty birds and an annual minimum of thirty, depending on the year. All adult penguins were sampled on their return to the colony using the stomach lavage methodology specified in CCAMLR (Commission for the Conservation of Antarctic Marine Living Resources) Ecosystem Monitoring Program (CEMP) Standard Methods A8A. The stomach samples were then weighed and categorised into krill, cephalopods, fish and non-food and identified to species level where possible. Krill carapaces and otoliths were removed and measured. Ecosystems component of BAS Polar Science for Planet Earth Programme, funded by NERC.

  • We present here the land cover classification across West Antarctica and the McMurdo Dry Valley produced from Landsat-8 Operational Land Imager (OLI) images of six proglacial regions of Antarctica at 30 m resolution, with an overall accuracy of 77.0 % for proglacial land classes. We conducted this classification using an unsupervised K-means clustering approach, which circumvented the need for training data and was highly effective at picking up key land classes, such as vegetation, water, and different sedimentary surfaces. This work is supported by the Leeds-York-Hull Natural Environment Research Council (NERC) Doctoral Training Partnership (DTP) Panorama under grant NE/S007458/1. The Ministry of Education, Youth and Sports of the Czech Republic project VAN 1/2022 and the Czech Antarctic Foundation funded fieldwork that contributed to part of this work.

  • This dataset contains solution data produced by the BAS-PRO proton radiation belt model for the study "Modelling Inner Proton Belt Variability at Energies 1 to 10MeV using BAS-PRO". The solution data is in the form of 3D grids describing phase space density computed during dynamic simulations of Earth''s proton belt over the modelling period 2014 to 2018. Three model runs are included: SA19, J81 and S16. Files were produced in May 2021. This work was funded by the Natural Environment Research Council (NERC) via Doctoral Training Programme NE/R009457/1. Richard B. Horne and Sarah A. Glauert were supported by NERC National Capability grants NE/R016038/1 and NE/R016445/1, and by NERC grant NE/V00249X/1 (Sat-Risk), and by Highlight Topic Grant NE/P01738X/1 (Rad-Sat). Giulio Del Zanna acknowledges support from STFC (UK) via the consolidated grants to the atomic astrophysics group (AAG) at DAMTP, University of Cambridge (ST/P000665/1 and ST/T000481/1). Seth G. Claudepierre acknowledges support from NASA Grant no. NNX17AF10G and from RBSP-ECT funding provided by JHU/APL Contract 967399 under NASA''s Prime Contract NAS5-01072.

  • In 2018 RRS James Clark Ross investigated the marine benthic biodiversity of the Prince Gustav Channel area and the macrobenthic molluscan fauna collected by epibenthic sledge (EBS) has been assessed for species richness, abundance and assemblage composition as well as for functional traits. In total 20,307 mollusc specimens assigned to 50 morphospecies and 4 classes (Solenogastres, Bivalvia, Gastropoda and Scaphopoda) were identified. Assemblage analyses across the Prince Gustav Channel area did not show apparent pattern or separation across depth, taxon or station. To set the bivalve dataset into a wider context, unpublished bivalve species richness and abundance data from EBS collected stations in the area influenced by the Weddell Gyre were added. This doi dataset provides data for 1) PGC EBS locations, 2) PGC EBS molluscan abundances, 3) PGC molluscan functional traits, 4) Weddell Gyre EBS stations (300 - 2000 m depth), 5) Weddell Gyre EBS bivalve standardised 1000 m trawl length abundances (300 - 2000 m depth). Funding was provided by NERC urgency grant NE/R012296/1 ''Benthic biodiversity under Antarctic ice-shelves - baseline assessment of the seabed exposed by the 2017 calving of the Larsen-C Ice Shelf''.

  • The datasets are ice tilt time series from strings of accelerometers, each located at a discrete depth within one of three boreholes into Khumbu Glacier, Nepal. Ice deformation can be derived from this tilt data, but has not yet been calculated. Boreholes were drilled in May 2017 and 2018 to investigate the internal properties of Khumbu Glacier, specifically ice thickness, temperature, deformation and structure, as part of the NERC-funded ''EverDrill'' research project. Supporting borehole information is provided as a related dataset. Funding was provided by the NERC grant NE/P00265X/1 and NE/P002021/1. ***** PLEASE BE ADVISED TO USE VERSION 2.0 DATA ***** The VERSION 2.0 data set (see ''Related Data Set Metadata'' link below) which contains an additional 11 months of measurements.

  • Conductivity, Temperature and Depth (CTD) profiles were collected in the grounding zone region of Thwaites Glacier Eastern Ice Shelf in January 2020 as part of the International Thwaites Glacier Collaboration MELT project. Using a borehole deployable CTD system (SBE49), 15 profiles were collected over a period of 4 days between January 9th and January 12th to observe the hydrographic structure of the water column. The profiles extended from the ice base (520 dbar) to approximately 5 m above the seabed (575 dbar). Funding was provided by NSFPLR-NERC: Melting at Thwaites grounding zone and its control on sea level (THWAITES-MELT) NE/S006761/1.

  • 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.