Surface speeds for a point close to the front of Kangerdlugssuaq Glacier based on satellite image feature tracking from 1985 to 2018. Funding: The data have been collected over many years. Most recent project funding is NERC project CALISMO NE/P011365/1.

Ice front positions for Kangerdlugssuaq Glacier, Greenland, based on digitisation of satellite images between 1985 to 2018. Funding: The data have been collected over many years. Most recent project funding is NERC project CALISMO NE/P011365/1.

A time series of the mean surface elevation along a transect across Kangerdlugssuaq Glacier from Feb 2012 to May 2018. Funding: Data were processed under NERC project CALISMO NE/P011365/1. Data were acquired under NERC project NE/I007148/1. Data were supplied by DLR.

This is an animated GIF of the calving front of Kangerdlugssuaq Glacier, Greenland. The images are based on Sentinel 1A and 1B Synthetic Aperture Radar (SAR) data. The time series lasts from 14/06/2015 to 01/11/2018 and contains 245 images. The images are 24 km by 18 km, centred on 68.58 degrees N, 32.85 degrees W. Spatial resolution is approximately 30 m. Funding was provided by the NERC grant NE/P011365/1 CALISMO.

This is distributed temperature sensing (DTS) data from a 1,043 m borehole drilled to the base of Sermeq Kujalleq (Store Glacier), Greenland, 28 km inland from the glacier terminus. The DTS system was installed on 5 July 2019, with recordings continuing until cable failure on 13 August 2019. The record resolution is ~0.65 m. This work was primarily funded and conducted as part of the European Research Council RESPONDER project (https://www.erc-responder.eu/) under the European Union''s Horizon 2020 research and innovation program (Grant 683043). Robert Law was supported by Natural Environment Research Council Doctoral Training Partnership studentships (Grant NE/L002507/1).

Thwaites Glacier, West Antarctica. An animated time series plot of 64 profiles of ice base and surface elevation along a flowline based on the mean flow direction. The flowline passes through a region of large elevation change that took place between 2014 and 2017. The work was funded by NERC projects NE/P011365/1 and NE/S006605/1

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).

Two maps of surface elevation change for Thwaites Glacier, West Antarctica. Change is in metres between 2013-12-21 and 2017-07-11, and between 2017-07-11 and 2020-11-02. The work was funded by NERC projects NE/P011365/1 and NE/S006605/1.

Thwaites Glacier, West Antarctica. A time series of 156 profiles of ice surface elevation along a flowline based on the mean flow direction. The flowline passes through a region of large elevation change that took place between 2014 and 2017. The work was funded by NERC projects NE/P011365/1 and NE/S006605/1.

A record of subaerial calving activity at a lacustrine margin of Russell Glacier, west Greenland, comprising 290 calving events classified by volume, area and calving mechanism. Data were acquired continuously from July 2014 to September 2015 using an array of time-lapse cameras. Imagery from the cameras was employed to generate a time-series of ice-margin point clouds, which were then differenced to determine calving properties. The dataset is designed to facilitate the analysis of seasonality in lacustrine calving processes. Supplementary point clouds were also generated to investigate the effects of two lake drainage events on calving processes in the summers of 2014 and 2015. Point cloud parameters and a record of lake stage are also included. The dataset was collected and processed by researchers in the School of Geography at the University of Leeds. Funding was provided by Royal Institute of Chartered Surveyors Research Trust (project number 474), The Mount Everest Foundation, The Gilchrist Educational Trust, and Sigma Xi.