3D vertically-polarised shear wave (Vsv) velocity model of West Antarctic uppermost mantle structure to 200 km depth developed using data from the 2016-2018 UK Antarctic Seismic Network (UKANET) and Polar Earth Observing Seismic Network (POLENET). The model was constructed from the combination of fundamental mode Rayleigh wave phase velocity maps developed by ambient noise (periods 8-25 seconds) and earthquake data two-plane wave analysis (periods 20-143 seconds). Composite 'local' 1D Rayleigh wave phase velocity dispersion curves (periods 8-143 s) were extracted by sampling the 2D Rayleigh wave phase velocity maps at grid node locations spanning West Antarctica spaced at 100 km. The local 1D Rayleigh wave phase velocity dispersion curves were inverted for 1D shear wave (Vsv) structure to 200 km depth, and the ensemble of 1D shear wave (Vsv) profiles were subsequently gridded to produce the 3D shear wave (Vsv) model of West Antarctica uppermost mantle structure to 200 km depth. Funding was provided by the NERC standard grant NE/L006065/1.

Aggregate DOI for GPS/GNSS stations: Long-term continuous or semi-continuous occupations at multiple locations published by NSF GAGE Facility operated by EarthScope Consortium. This dataset contains data from 26 locations on the West Antarctic Peninsula from 2006-12-28 through 2024-12-22.

3D vertically-polarised shear wave (Vsv) velocity model of West Antarctic crustal structure developed using data from the 2016-2018 UK Antarctic Seismic Network (UKANET) and Polar Earth Observing Seismic Network (POLENET). Interstation Rayleigh and Love wave phase velocity dispersion measurements at periods of 8-25 seconds were extracted from seismic ambient noise cross-correlograms by automated frequency-time analysis (AFTAN). The ensemble of interstation Rayleigh wave dispersion measurements was used to develop 2D Rayleigh wave phase velocity maps of West Antarctica at periods of 8-25 seconds by Fast Marching Surface Tomography (FMST) on a grid with a node spacing of 0.75deg. 'Local' 1D Rayleigh wave phase velocity dispersion curves were extracted by sampling the 2D Rayleigh wave phase velocity maps at grid node locations. The local 1D Rayleigh wave phase velocity dispersion curves were inverted for 1D shear wave (Vsv) structure to 40 km depth, and the ensemble of 1D shear wave (Vsv) profiles were subsequently gridded to produce the 3D shear wave (Vsv) model of West Antarctica from 10-40 km depth. Funding was provided by the NERC standard grant NE/L006065/1.

High-resolution simulation of summer climate over West Antarctica using the Polar-optimised version of the Weather Research and Forecasting (WRF) model conducted at British Antarctic Survey, Cambridge, UK. Runs are conducted for summer (January-centred) 1980-2015, i.e. from December 1979 to February 2015, for December, January and February (DJF). Experiments were carried out for the NERC West Antarctic Grant (NE/K00445X/1) during 2014-2017. The project is aimed at understanding the variability and climatology over the West Antarctic ice sheet and ice shelves as well as to project the future change over the twenty-first century. The model outer domain encompasses the West Antarctic ice sheet and a large part of the surrounding ocean at 45 km horizontal grid spacing, and the nested (one-way) inner domain covers the Amundsen Sea Embayment at 15 km grid spacing. The model uses vertical eta coordinates with both domains have a model top of 50 hPa, and 30 vertical levels.

This dataset includes double-difference interferograms derived from TerraSAR-X synthetic aperture radar data acquired at the grounding line downstream of Engelhardt Subglacial Lake on the Gould Coast, Antarctica, in September 2012, April 2016, July 2023 and October 2023. The September 2012, July 2023 and October 2023 interferograms were generated by Oliver J. Marsh (British Antarctic Survey) using the Gamma Remote Sensing software and geocoded with the Bedmap2 DEM. The April 2016 interferogram was generated by Dana Floricioiu (DLR, German Aerospace Center) using DLR's Integrated Wide Area Processor (IWAP; Rodriguez et al, 2013). The image processing information, acquisition time and coincident modelled tide heights for all data used to derive the TerraSAR-X interferograms are provided in the lineage section. For each interferogram (September 2012, April 2016, July 2023 and October 2023) we provide a shapefile of the derived grounding line, which was manually traced along the landward boundary of the dense fringe belt associated with the vertical tidal motion of the ice (Point F). This dataset was produced as part of the study: Freer et al. (2024) Synchronous lake drainage and grounding line retreat at Engelhardt Subglacial Lake, West Antarctica. Journal of Geophysical Research: Earth Surface. Funding: Bryony I. D. Freer (project lead) was supported by Natural Environment Research Council (NERC) Satellite Data in Environmental Science (SENSE) Centre for Doctoral Training (grant no. NE/T00939X/1). Dana Floricioiu (dataset creator) was supported by DLR's Polar Monitor II and Antarctic Ice Sheet CCI projects (ESA/Contract No. 4000126813/18/I-NB). Images were acquired under DLR TerraSAR-X science data proposal HYD3673 (PI Dana Floricioiu).

This dataset consists of measurements of cosmogenic 10Be in quartz from a set of erratic cobbles collected from the surfaces of nunataks in West Antarctica. The cobbles were collected during the 2019-20 Antarctic field season from the Hudson Mountains, which are situated adjacent to Pine Island Glacier. The dataset includes cosmogenic nuclide (10Be) exposure ages and all field (sample locations and elevations) and analytical laboratory (quartz and beryllium carrier masses, Be-10/Be-9 ratios) data for field samples and procedural blanks required to calculate the ages. Natural Environment Research Council (NERC: Grants NE/S006710/1, NE/S006753/1, and NE/S00663X/1) and National Science Foundation (NSF: Grant OPP 2317097). Australian Nuclear Science and Technology Organisation (ANSTO) Centre for Accelerator Science award AP12872, through the National Collaborative Research Infrastructure Strategy (NCRIS).

This dataset consists of measurements of cosmogenic 10Be in quartz from a set of 41 erratic cobbles and boulders collected from the surfaces of nunataks in West Antarctica. The erratics were collected during the 2019-20 Antarctic field season from the Hudson Mountains, which are situated immediately to the north of Pine Island Glacier. The samples in this dataset were collected from nunataks (Webber Nunatak, Mount Moses, Slusher Nunatak, Dean Nunataks, Wold Nunatak, and Siren Rock) located adjacent to Larter and Lucchitta glaciers which dissect the area. The dataset includes cosmogenic nuclide (10Be) exposure ages and all field (sample locations and elevations) and analytical laboratory (quartz and beryllium carrier masses, 10Be/9Be ratios) data for field samples and procedural blanks required to calculate the exposure ages. This project was funded by Natural Environment Research Council (NERC: Grants NE/S006710/1, NE/S006753/1, and NE/S00663X/1) and National Science Foundation (NSF: Grant OPP 2317097). Australian Nuclear Science and Technology Organisation (ANSTO) Centre for Accelerator Science award AP12872, through the National Collaborative Research Infrastructure Strategy (NCRIS).

This dataset consists of measurements of cosmogenic Be-10 and Al-26 in quartz for a set of cobbles collected from a moraine proximal to Mount Murphy, a nunatak located between Pope and Thwaites glaciers, West Antarctica. The cobbles were collected during the 2015-2016 Antarctic field season. The dataset includes cosmogenic nuclide (Be-10 and Al-26) surface exposure ages and all field (location, elevation, shielding, thickness) and analytical laboratory (quartz, beryllium and aluminium carrier masses, Be-10/Be-9 and Al-26/Al-27 ratios) data for field samples and procedural blanks required to calculate the ages. Funding source: Natural Environment Research Council (NERC: Grants NE/S006710/1 (JSJ), NE/K012088/1 (JSJ), NE/S006753/1 (DHR), NE/K011278/1 (DHR)). Australian Nuclear Science and Technology Organisation (ANSTO) Centre for Accelerator Science award AP12872 (DHR) through the National Collaborative Research Infrastructure Strategy (NCRIS).