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.

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.

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.

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).

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.

A map of changes in ice surface speed in metres/year for Thwaites Glacier, West Antarctica, between January 2012 and January 2021. Speeds based on feature tracking of satellite synthetic aperture radar data. The work was funded by NERC projects NE/P011365/1 and NE/S006605/1.

A time series of surface ice flow speed at a point on Thwaites Glacier, West Antarctica. The point is on grounded ice and is upstream of a sub-shelf cavity on the west flank of the fast-moving core of Thwaites Glacier. There are a total of 589 points. First column = yyyy-mm-dd, second column = speed in kilometres per year. The work was funded by NERC projects NE/P011365/1 and NE/S006605/1.

The dataset encompasses the processed point clouds (.pts format), a panoramic tour, and a video flythrough of registered point clouds capturing a 273 m long reach of the englacial portal channel in the glacier, Austre Broggerbreen, Svalbard, in March 2017. Point clouds were derived from 27 Terrestrial Laser Scanning (TLS) surveys, to characterise the morphology of the channel in three-dimensions and enable extraction of features reflective of hydrological flow conditions. The panoramic tour shows a greyscale image of the scan reflectivity values at each survey location, whereby the lighter the pixel colour, the greater the intensity of the laser beam return. This panoramic tour enables the viewer to self-navigate through the channel to see the morphological features within it. The video flythrough of the point cloud provides a visualisation of the point cloud data, travelling from the portal exit to the extent of the scanned reach. The point cloud has been coloured to reflect differences in height above the portal exit. Funding source Knowledge Economy Skills Scholarship (KESS II) under Project AU10003, a pan-Wales higher-level skills initiative led by Bangor University of behalf of the HE sector in Wales. It is part funded by the Welsh Government''s European Social Fund (ESF) convergence programme for West Wales and the Valleys. Funding was awarded to TDLI-F and JEK, with support from Deri Jones & Associates Ltd. Additional support is acknowledged from Aberystwyth University (Department of Geography and Earth Sciences).

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).

A time series of surface elevation at a point on Thwaites Glacier, West Antarctica. The point is on grounded ice and is upstream of a sub-shelf cavity on the west flank of the fast-moving core of Thwaites Glacier. There are a total of 88 points. First column = yyyy-mm-dd, second column = elevation in metres. The work was funded by NERC projects NE/P011365/1 and NE/S006605/1.