This dataset comprises of codes (written in MATLAB) and gridded files (exported as GeoTIFF) presented in Bodart et al. (2023; The Crysophere; https://doi.org/10.5194/tc-2022-199). A summary of the key findings from this study is provided as follows: "Using a spatially extensive IRH over Pine Island Glacier, Thwaites Glacier, and Institute and Möller Ice Streams (covering a total of 610 000 km2 or 30% of the WAIS), and a local layer approximation model, we infer mid-Holocene accumulation rates over the slow-flowing parts of these catchments for the past ~4700 years. By comparing our results with modern climate reanalysis models (1979 – 2019) and observational syntheses (1651 – 2010), we estimate that accumulation rates over the Amundsen-Weddell-Ross divide were on average 18% higher during the mid-Holocene than modern rates. However, no significant spatial changes in the accumulation pattern were observed." This dataset contains a series of files (5x .m files, 10x .tif files). The numbering of the figures in the description below refers to the order of the figures in the associated paper. 5x MATLAB files: Calculate_accumulation_rates.m: calculates accumulation rates for the mid-Holocene-to-present, as well as uncertainties associated with the age and model structural uncertainty; Calculate_D_parameter.m: calculates the D parameter (and associated L_path, L_H and L_b) to assess the feasability of the LLA over our grid; Calculate_longitudinal_strain_rates.m: calculates the longitudinal strain rates over our grid from modern ice-flow velocities; Calculate_vertical_strain_rates.m: calculates vertical strain rates for the mid-Holocene-to-present part of the ice column from accumulation estimates; Resample_IRH_data.m: Re-samples the along-track IRH data into evenly distributed 500-m points for speeding up the gridding and calculations of accumulation rates; 10x GeoTIFF files: Holocene_IRH_depth_Fig2a.tif: Figure 2a; Holocene_accumulation_rates_Fig3a.tif: Figure 3a; Difference_Holocene_accumulation_RACMO2_Fig3c.tif: Figure 3c; Relative_difference_Holocene_accumulation_RACMO2_Fig4.tif: Figure 4; D_parameter_FigS1d.tif: Figure S1d; Holocene_vertical_strain_rates_FigS2a.tif: Figure S2a; Longitudinal_strain_rates_FigS2b.tif: Figure S2b; Holocene_accumulation_lower_uncertainty_FigS4a.tif: Figure S4a; Holocene_accumulation_upper_uncertainty_FigS4b.tif: Figure S4b; Holocene_accumulation_relative_uncertainty_FigS4c.tif: Figure S4c; Please also cite the associated paper when using this dataset. Any questions, please direct them to the corresponding author, Julien Bodart (julien.bodart@ed.ac.uk).

{"references": ["Bodart, J.A., Bingham, R.G., Young, D.A., MacGregor, J.A., Ashmore, D.W., Quartini, E., Hein, A.S., Vaughan, D.G. and Blankenship, D.D., 2022. High mid-Holocene accumulation rates over West Antarctica inferred from a pervasive ice-penetrating radar reflector. The Cryosphere"]}