We present a 3D crustal model of susceptibility distribution in the Messa Range in northern Victoria Land, East Antarctica. The inversion is based on airborne magnetic data with a line spacing of 500m conducted by the Federal Institute for Geosciences and Natural Resources (BGR) in 2010. The inverted susceptibility allows to discriminate the three dominant rock types in the area namely Kirkpatrick Basalt, Ferrar rock and Granit Harbour intrusive. We provide three netCDF files, which include the input magnetic data, the inverted magnetic field, and inverted crustal susceptibility distribution. Funding for this research was provided by NERC through a SENSE CDT studentship (NE/T00939X/1)

We present a petrophysical catalogue of new density and susceptibility measurements conducted on 320 rock samples from northern Victoria Land, East Antarctica. The rock samples are stored by the Federal Institute for Geosciences and Natural Resources (BGR) in Berlin-Spandau and Hanover, Germany. Funding for this research was provided by NERC through a SENSE CDT studentship (NE/T00939X/1)

This dataset includes ice velocity and ice front position data presented in the published paper by Miles et al. (2021): ''Recent acceleration of Denman Glacier (1972-2017), East Antarctica, driven by grounding line retreat and changes in ice tongue configuration''. The dataset includes ice front position shapefiles of the Denman Ice Tongue from 1962 to 2018, ice velocity data from 1972-74 and 1989, and the coordinates of transect A-AA used in the figure 3 in Miles et al. (2021). This research was funded by NERC standard grant NE/R000824/1.

This dataset contains bed, surface elevation and ice thickness measurements from the Recovery/Slessor/Bailey Region, East Antarctica. Radar data was collected using the 150MHz PASIN radar echo sounding system (Corr et al., 2007) deployed on a British Antarctic Survey (BAS) Twin Otter during the ICEGRAV-2013 airborne geophysics campaign (Forsberg et al., 2018). Data is identified by flight and are available in both Geosoft database (.gdb) and ASCII file formats (.xyz).

Input and results files for the ice dynamics model Ua simulating potential past and future ice geometry of Cook Glacier, East Antarctica. Results seek to explain potential causes of recent observed acceleration and speculate on future causes of acceleration. This work was funded by NERC grant NE/R000719/1.

This dataset contains the position and depth (ice thickness) of three spatially-extensive Internal Reflecting Horizons (IRHs) mapped from ice-penetrating radar data acquired with the British Antarctic Survey''s PASIN and PASIN2 ice radar systems across central East Antarctica. The dataset extends geographically from Dome A to South Pole. Using previous dated IRHs from Winter et al (2019), an independent validation of IRH ages from the South Pole ice-core chronology and a 1-D steady-state model, we assigned ages to our three IRHs: (H1) 38.5 +/- 2.2 ka, (H2) 90.4 +/- 3.57, and (H3) 161.9 +/- 6.76 ka. This study was motivated by the AntArchitecture Action Group of the Scientific Committee for Antarctic Research (SCAR). The project was supported by the National Environmental Research Council (NERC)-funded ONE Planet Doctoral Training Partnership (NE/S007512/1), hosted jointly by Newcastle and Northumbria Universities. The authors thank the BAS science and logistics teams for acquiring both the AGAP PASIN and PolarGAP PASIN2 data which is fully available on the Polar Airborne Geophysics Data Portal of the UK Polar Data Center (https://www.bas.ac.uk/project/nagdp/). BedMachine (version 2) data are available at https://doi.org/10.5067/E1QL9HFQ7A8M.

The dataset contains processed model output of future simulations of the East Antarctic Ice Sheet using the Ua ice dynamics model (https://github.com/GHilmarG/UaSource). Simulations were run for 200 years comparing the impact of both an intermediate (RCP4.5 emissions scenario) and extreme (RCP8.5 emissions scenario) as well as maintaining the current oceanic regime or switching to one dominated by circumpolar deep water intrusions. A reference run with constant present-day forcing is also included to assess the relative impacts of the various forcing scenarios. This work was primarily funded by the Natural Environment Research Council, grant number NE/R000719/1. James Jordan, Hilmar Gudmundsson and Adrian Jenkins received funding from the European Union''s Horizon 2020 research and innovation program under grant agreement no. 869304, PROTECT. Bertie Miles was also supported by a Leverhulme Early Career Fellowship (ECF-2021-484).