This data contains the model output of three numerical inversions of Pine Island Glacier ice surface velocities performed with the Community Ice Sheet Model (CISM2.0). The first and second simulations are inversions of the 1996 and 2014 velocity, respectively. The third simulation is a sensitivity experiment on the 2014 inversion. The gridded data consists of the ice surface velocity, basal velocity, basal stress, basal melt rates, and basal water fluxes, calculated for Pine Island Glacier catchment area. This data was created within the iSTAR-C programme (with NERC grant reference NE/J005800/1).

This dataset contains the position and depth of four spatially-extensive Internal Reflecting Horizons (or IRHs) traced on the British Antarctic Survey''s PASIN system and NASA Operation IceBridge''s MCoRDS2 system across the Pine Island Glacier catchment. Using the WAIS Divide ice-core chronology and a 1-D steady-state model, we assign ages to our four IRHs: (R1) 2.31-2.92 ka, (R2) 4.72 +/- 0.28 ka, (R3) 6.94 +/- 0.31 ka, and (R4) 16.50 +/- 0.79 ka. This project was funded by the UK Natural Environment Research Council Grant NE/L002558/1

A new subglacial bed Digital Elevation Model (DEM) from Ellsworth Subglacial Highlands (ESH) was created from previously gridded bed elevation data and new unpublished radar data. The new DEM includes the upper reaches of Pine Island Glacier, Rutford and Institute Ice Streams and reveals new topographical features. The main findings on this new DEM are two linear deep throughs with a perpendicular transection valley near Subglacial Lake Ellsworth. Additionally, using the new DEM and ice surface elevation data from CryoSat2 ice surface DEM, a hydropotential model was built and used to create a detailed hydropotential model of ESH to simulate the subglacial hydrological network. This approach allowed us to characterize basal hydrology, subglacial water catchments and connections between them. In this characterization we noticed the mismatch between subglacial hydrological catchment and ice surfaces catchment of Rutford Ice Stream, Pine Island Glacier and Thwaites Glacier. Funding was provided by NERC Antarctic Funding Initiative (AFI) grants NE/D008751/1, NE/D009200/1, and NE/D008638/1, and NERC grant NE/G013071/1.

The data set contains information on the position, and occasionally dimensions, of giant Antarctic iceberg B31 over the period from its calving in November 2013, until July 2015. This used a range of satellite sensors, both visible and microwave. The columns are: year (A), date in Julian day of that year (B), area of B31, in km2 (C), major axis of B31, in km (D), minor axis of B31, in km (E), perimeter of B31, in km (F), latitude and longitude, in degrees from the Greenwich Meridian (G & H) and satellite source of data (I). NERC grant reference(s): NE/L010054/1 and NE/M007820/1

This dataset contains measurements of snow accumulation over an 11-month period in 2016 at six sites in the Pine Island-Thwaites Glacier catchment of West Antarctica. The sites were visited on two occasions, the first in January 2016 and the second in December 2016. The accumulation rate at each site was calculated using an average density profile, based on a compilation of six low elevation sites on Pine Island Glacier (iSTAR sites 15-19, and 22; Morris et al., 2017) that are situated nearby. The average density for the top metre based on this compilation is 419 kg m-3. Further details are provided in the associated publication.

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).