The dataset consists of a single shapefile containing terminus positions of Jakobshavn Isbrae, Ilulissat Icefjord, Greenland, between 2022-2023. Jakobshavn Isbrae is a fast-flowing outlet glacier situated in central west Greenland and terminates in Ilulissat Icefjord, a deep fjord basin renewed by water from Disko Bay (Gladish et al., 2015). Each polyline feature in this dataset reflects a terminus position manually digitised using synthetic aperture radar (SAR) mosaics downloaded from the National Snow and Ice Data Center (NSIDC; Joughin, 2021). The dataset comprises 31 terminus positions in total, each digitised from imagery collected between 02/01/2022 and 28/12/2022. Hannah Picton acknowledges funding from the E4 DTP (Edinburgh Earth, Ecology and Environment Doctoral Training Partnership), NE/S007407/1.

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.

This dataset contains acoustic impedance misfits between measurements collected on Pine Island Glacier (Brisbourne et al., 2017) and predictions of the Viscous Grain-Shearing theory (Buckingham, 1997, 2000, 2005, 2007). The dataset is presented as netCDF files. The acoustic impedance predictions depend on the effective pressure, which is derived using various basal sliding laws. This link enables the comparison of basal sliding laws within a Bayesian model selection framework (Hank et al., 2025). The posterior probabilities (also included in this dataset) were determined by the authors to infer the most probable basal sliding law. This work was funded by the GHOST project, a component of the International Thwaites Glacier Collaboration (ITGC). Support from National Science Foundation (NSF: Grant PLR 1738934) and Natural Environment Research Council (NERC: Grant NE/S006672/1), with logistics provided by NSF-U.S. Antarctic Program and NERC-British Antarctic Survey.

This dataset contains data from three ground-penetrating radar surveys undertaken to image ice thickness and englacial stratigraphy during the 2019-20 Antarctic field season, as part of the International Thwaites Glacier Collaboration (funded by NERC and NSF). The ground-penetrating radar data are presented as SEG-Y, along with the GPS tracks of the surveys, presented as GPS Exchange Format (GPX). The subglacial extensions of ridges of three nunataks close to Pine Island and Larter Glaciers in the Hudson Mountains region were surveyed, with the aim of determining their suitability as subglacial bedrock drill sites. Those nunataks are Winkie Nunatak (74 degrees 51' 41.0" S/99 degrees 46' 49.4" W), Evans Knoll (74 degrees 51' 00.0" S/100 degrees 25' 00.0" W), and Webber Nunatak (74 degrees 47' 00.0" S/99 degrees 50' 00.0" W). This work was funded by NERC grants NE/S00663X/1 and NE/S006710/1.

This dataset consists of long time series of subglacial water pressures, obtained from a pressure sensor installed in a borehole that connected to the basal drainage system of Kongsvegen, Svalbard. The glacier has been in a quiescent state since its last surge circa 1948, and has undergone a gradual acceleration during the last decade. The data series runs from 2018-10-19 to 2024-08-12. Data acquisition was funded by NERC Urgency Grant NE/R018243/1 REBUS (Resolving Enthalpy Budget to Understand Surges) and RCN Grant 301837 MAMMAMIA (Multi-scale, multi-method assessment of mechanisms for ice acceleration).

This dataset contains detailed records of snowpack characteristics near Ny-Alesund, Svalbard, between 21st and 31st March 2023. They were recorded in ten snow pits before in-situ tracer percolation experiments, and the records include location and overview photos of each pit, snow height, snow temperature, snow density, detailed snow stratigraphy observations, and stable water isotope signatures from the snow surface to the ground. The records were obtained by Dorothea Moser as part of an experimental field project ("Wet Fingerprints") to contextualise the results of the subsequently conducted tracer percolation experiments. The project was supported by an Arctic Field Grant through the Norwegian Research Council (Project No. 342165, Research in Svalbard RiS ID 12132). Dorothea Elisabeth Moser was supported by BAS Cambridge and the NERC C-CLEAR Doctoral Training Programme (grant no. NE/S007164/1).

This dataset contains detailed records of in-situ tracer percolation experiments conducted near Ny-Alesund, Svalbard, between 21st and 31st March 2023. For each of the ten snow pits and their respective one to three experiments, we report experiment specifications, temperature monitoring during the experiments, percolation results, and stable water isotope (SWI) signatures after the experiments. The records were obtained by Dorothea Moser as part of an experimental field project ("Wet Fingerprints"). The project was supported by an Arctic Field Grant through the Norwegian Research Council (Project No. 342165, Research in Svalbard RiS ID 12132). Dorothea Elisabeth Moser was supported by BAS Cambridge and the NERC C-CLEAR Doctoral Training Programme (grant no. NE/S007164/1).

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.

Fieldwork was undertaken at Blaso epishelf lake, Northeast Greenland between 19th July and 11th August 2017. Tidal variation was measured using a water pressure transducer between the 24th July to 8th August 2017. The tidal measurements are therefore presented as three measurement intervals: Interval 1 (25th July - 29th July), Interval 2 (29th July - 2nd August), and Interval 3 (2nd August - 12th August). This project was funded by NERC Standard Grant NE/N011228/1.