This archive is a suite of ground penetrating radar (GPR) data acquired by Project MIDAS during field campaigns on Larsen C, in 2014 and 2015. All data were acquired with a Sensors&Software pulsEKKO PRO GPR system, fitted with antennas of 200 MHz centre-frequency. The system was towed behind a snowmobile, with distances recorded with GPS. These data are part of the NERC-funded MIDAS (''Impact of surface melt and ponding on ice shelf dynamics and stability'') research project, with grant references NE/L006707/1 and NE/L005409/1. Other MIDAS data are available.

Daily outputs on a 7.5 km horizontal resolution grid covering the Greenland Ice Sheet from MARv3.6.2, which is a regional climate model developed for the Polar regions that solves the regional climate and ice sheet surface mass balance. MAR was forced by ERA-Interim re-analysis data.

Metrics of dark ice extent and duration, and snowline retreat estimates, for the south-west ablation zone of the Greenland Ice Sheet, derived from MODIS satellite imagery. These metrics are provided on a ~613 m grid at annual resolution and cover the melt season, defined as June-July-August each year. All scripts used to generate the metrics are also provided, as well as the scripts which generate the plots found in the referenced publication. Funding was provided by the NERC grant NE/M021025/1.

This dataset provides a map of the Antarctic grounding zone. The map is assembled using CryoSat-2 satellite radar altimetry data spanning between 2010-2017. This dataset provides both the limit of tidal flexure (point F) and hydrostatic equilibrium (point H) of the grounding zone. Funding was provided by the NERC grant NE/N011511/1.

The radar data collected in 2013-2014 at Dome C, East Antarctica, aims to understand bulk preferred crystal orientation fabric near a dome. We measure changes in englacial birefringence and anisotropic scattering in 21 sites along a 36 km long profile across Dome C. These optical properties are obtained by analysing radar returns for different antenna orientations. More details can be found in Ershadi et al, 2021. Funding was provided by BAS National Capability and IPEV core funding.

This dataset provides the data produced as part of the work published in: Leeson, A. A., Foster, E., Rice, A., Gourmelen, N. and van Wessem, J. M.. 2019. ''Evolution of supraglacial lakes on the Larsen B ice shelf in the decades before it collapsed'' Geophysical Research Letters. It includes 1) shapefiles of supraglacial lakes mapped in both optical (Landsat) and SAR (ERS) satellite imagery, 2) rasters of lake depth, derived from Landsat TM and ETM+ images acquired in 1988 and 2000 and 3) shapefiles of the study area considered in the paper. Funding was provided by ERPSRC grant EP/R01860X/1.

These files are surface elevation determined from swath processing of data acquired by the interferometric radar altimeter CryoSat-2. The data have been collected and processed over the Antarctic Ice Sheet between 2011 and 2016. These data have been processed by the University of Edinburgh and are made publicly available as part of the European Space Agency funded project CryoTop and CryoTop Evolution involving the University of Edinburgh, isardSat UK, University of Leeds-CPOM, ENVEO.

These files are gridded topography, rates of surface elevation change, and errors as 500m and 1km posting determined from surface elevation measured by swath processing of data acquired by the interferometric radar altimeter CryoSat-2. The gridded products cover the Greenland Ice Sheet between 2011 and 2016. These data have been processed by the University of Edinburgh and are made publicly available as part of a European Space Agency funded project involving the University of Edinburgh, isardSat UK, University of Leeds-CPOM, ENVEO. Gridded elevation and elevation change over the CryoSat-2 LRM sector of the Greenland Ice Sheet are provided by CPOM. This dataset is part of ESA''s CryoTop Evolution project.

Improved Digital Elevation Model (DEM) of the Greenland Ice Sheet derived from Global Navigation Satellite Systems-Reflectometry (GNSS-R). This builds on a previous study (Cartwright et al., 2018) using GNSS-R to derive an Antarctic DEM but uses improved processing and an additional 13 months of measurements. A median bias of under 10 m and root-mean-square (RMS) errors of under 166 m are obtained, as compared to existing DEMs. Funding was provided by NERC grant NE/L002531/1.

Glacial outlines of the APIS (Antarctica Peninsula Ice Sheet) for 1988, 2001, 2009. This is now incorporated into the GLIMS (Global Land Ice Measurements from Space) project.