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).

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.