The data set contains values of basal slipperiness (C) and the rate factor (A) for the whole of the Antarctic Ice Sheet. The slipperiness was estimated through model inversion from measurements of surface velocities (1) and ice thickness (2) using the ice-flow model Ua (3). The ice was assumed to deform according to Glen''s flow law with a stress exponent n=3. Basal sliding was assumed to follow Weertman sliding law with m=3, with u_b = C tau^m, where u_b is the basal sliding velocity and tau the (tangential) basal traction.

The datasets are ice tilt time series from strings of accelerometers, each located at a discrete depth within one of three boreholes into Khumbu Glacier, Nepal. Ice deformation can be derived from this tilt data, but has not yet been calculated. Boreholes were drilled in May 2017 and 2018 to investigate the internal properties of Khumbu Glacier, specifically ice thickness, temperature, deformation and structure, as part of the NERC-funded ''EverDrill'' research project. Supporting borehole information is provided as a related dataset. Funding was provided by the NERC grant NE/P00265X/1 and NE/P002021/1.

The dataset consists of three shapefiles containing terminus positions of the Koge Bugt North, Koge Bugt Central, and Koge Bugt South glaciers respectively, between 2022-2023. The terminus positions were manually digitised using either Landsat-8 or Landsat-9 imagery, downloaded from the USGS Earth Explorer (https://earthexplorer.usgs.gov/). If suitable optical imagery was unavailable, MEaSUREs Sentinel-1A and Sentinel-1B synthetic aperture radar (SAR) mosaics were employed, downloaded from the National Snow and Ice Data Center (NSIDC; Joughin, 2021). The dataset comprises 71 terminus positions in total, each digitised from imagery collected between 2022-01-11 and 2023-12-08. Hannah Picton acknowledges funding from the E4 DTP (Edinburgh Earth, Ecology and Environment Doctoral Training Partnership), NE/S007407/1.

From May 2009 to May 2013, seven dual-frequency GPS receivers were deployed along a 120 km-long transect in the south-west of the Greenland Ice Sheet. Two additional dual-frequency GPS receivers were deployed perpendicular to longitudinal ice flow at ~14 km inland: one 5 km distant from June 2011 to May 2013, and another 2.5 km distance from May 2012 to May 2013. Each receiver recorded position observations every 10 seconds or 30 seconds (depending on configuration), enabling resolution of horizontal and vertical ice motion. Sites were powered by solar panels and operated 24 hours a day during summer but shut down in the autumn. Absolute ice displacements at each site were obtained for each summer and winter period in the absence of continuous measurements. Position measurements were kinematically corrected relative to an off-ice base station using TRACK (Chen, 1999). Daily velocities were then obtained by differencing across 24-hour periods, whilst continuous velocities were obtained through application of a sliding 6-hour differencing window. At each GPS site we also measured (1) the near-surface air temperature every 15 minutes year-round, (2) net seasonal ablation using ablation stakes, and (3) at several selected sites melt rates using sonic ranging sensors. Funded by NERC, the Carnegie Trust for the Universities of Scotland and The University of Edinburgh. Relevant grants: NE/F021399/1, NE/H024964/1 Studentships: NE/I52830X/1, NE/J500021/1, NE/H526794/1

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.

The datasets are ice tilt time series from strings of accelerometers, each located at a discrete depth within one of three boreholes into Khumbu Glacier, Nepal. Ice deformation can be derived from this tilt data, but has not yet been calculated. Boreholes were drilled in May 2017 and 2018 to investigate the internal properties of Khumbu Glacier, specifically ice thickness, temperature, deformation and structure, as part of the NERC-funded ''EverDrill'' research project. Supporting borehole information is provided as a related dataset. Funding was provided by the NERC grant NE/P00265X/1 and NE/P002021/1. ***** PLEASE BE ADVISED TO USE VERSION 2.0 DATA ***** The VERSION 2.0 data set (see ''Related Data Set Metadata'' link below) which contains an additional 11 months of measurements.

The data consists of observed terminus position and modelled ocean temperature, air temperature and runoff for 10 tidewater glaciers in east Greenland, 1990-2015. The glaciers are (listed from south to north) Mogens 3, Tingmjarmiut 1, AP Bernstorffs Glacier, Helheim Glacier, Kangerdlugssuaq Glacier, Borggraven, Vestfjord Glacier, Daugaard-Jensen Glacier, Waltershausen Glacier, Heinkel Glacier. Values are given as annual means. Glacier terminus positions are derived directly from remote sensing observations. Ocean temperature is based on the mean 200-400m temperature from GLORYS2V3 1/4 deg ocean reanalysis, obtained from the nearest cell of sufficient depth and adjusted to better agree with available in situ observations. Air temperature is based on the May-September mean of monthly temperatures from European Reanalysis (ERA)-Interim global atmospheric reanalysis, while Q is obtained from a 1-km surface melting, retention, and runoff model forced using ERA-Interim reanalysis. These data were compiled to study the relationship between environmental forcings and tidewater glacier retreat in east Greenland, as published by Cowton et al (2018). Funding was provided by the NERC grants NE/K015249/1 and NE/K014609/1.

From May 2009 to May 2013, seven dual-frequency GPS receivers were deployed along a 120 km-long transect in the south-west of the Greenland Ice Sheet. Two additional dual-frequency GPS receivers were deployed perpendicular to longitudinal ice flow at ~14 km inland: one 5 km distant from June 2011 to May 2013, and another 2.5 km distance from May 2012 to May 2013. Each receiver recorded position observations every 10 seconds or 30 seconds (depending on configuration), enabling resolution of horizontal and vertical ice motion. Sites were powered by solar panels and operated 24 hours a day during summer but shut down in the autumn. Absolute ice displacements at each site were obtained for each summer and winter period in the absence of continuous measurements. Position measurements were kinematically corrected relative to an off-ice base station using TRACK (Chen, 1999). Daily velocities were then obtained by differencing across 24-hour periods, whilst continuous velocities were obtained through application of a sliding 6-hour differencing window. At each GPS site we also measured (1) the near-surface air temperature every 15 minutes year-round, (2) net seasonal ablation using ablation stakes, and (3) at several selected sites melt rates using sonic ranging sensors. This version 2 of the dataset updates the previously 2-day temporal resolution of the ice motion records to 1-day resolution. In other respects the dataset has not changed. Funded by NERC, the Carnegie Trust for the Universities of Scotland and The University of Edinburgh. Relevant grants: NE/F021399/1, NE/H024964/1 Studentships: NE/I52830X/1, NE/J500021/1, NE/H526794/1

Magnitude and x and y components of surface speed on the Larsen C ice shelf, Antarctica. The datasets are annual means from 2015 to 2022 at a horizontal resolution of 100 m. The data are based on feature tracking of Sentinel 1 Synthetic Aperture Radar (SAR) satellite data. The velocities were created to support a NERC-funded project investigating ice-shelf rift propagation, by Prof. Adrian Luckman. NERC standard grant NE/T008016/1.

Magnitude and x and y components of surface speed on the Brunt ice shelf, Antarctica. The datasets are annual means from 2015 to 2022 at a horizontal resolution of 100 m. The data are based on feature tracking of Sentinel 1 Synthetic Aperture Radar (SAR) satellite data. The velocities were created to support a NERC-funded project investigating ice-shelf rift propagation, by Prof. Adrian Luckman. NERC standard grant NE/T008016/1.