To support the ecological model of the study Rodríguez et al. (2020, in review), five BIOCLIM variables (BIO1, BIO6, BIO10, BIO11 and BIO12) were computed from the Oscillayers dataset, for 11 subdivisions of the Marine Isotope Stages MIS 14 to MIS 11, as defined in (Rodríguez et al 2020, in review). Oscillayers is a global‐scale and region‐specific BIOCLIM paleoclimatic datasets with high temporal resolution spanning the Plio‐Pleistocene, facilitating the study of climatic oscillations during the last 5.4 million years at high spatial (2.5 arc‐minutes) and temporal (10 kyr time periods) resolution (Gamisch, 2019). BIOCLIM is a model designed for Species Distribution Modelling (SDM) that defines a set of 19 bioclimatic variables derived from monthly temperature and rainfall values in order to obtain biologically meaningful variables that are commonly used in ecology to model species or biome distributions (Booth et al., 2014; Nix, 1986). The GIS computation was conducted using GRASS GIS map algebra (Shapiro & Westervelt, 1991) scripted via its Python API. The according Python scripts are attached to this dataset.

{"references": ["Booth, T.H., Nix, H.A., Busby, J.R., Hutchinson, M.F., 2014. bioclim: the first species distribution modelling package, its early applications and relevance to most current MaxEnt studies. Divers. Distrib. 20, 1\u20139. https://dx.doi.org/10.1111/ddi.12144", "Gamisch, A., 2019. Oscillayers: A dataset for the study of climatic oscillations over Plio-Pleistocene time-scales at high spatial-temporal resolution. Glob. Ecol. Biogeogr. 28, 1552\u20131156. https://dx.doi.org/10.1111/geb.12979", "Rodr\u00edguez, J., Willmes, C., Mateos, A. (2020, in review): Shivering in the Pleistocene. Human adaptations to cold exposure in Western Europe from MIS 14 to MIS 11. Journal of Human Evolution", "Nix, H.A., 1986. A biogeographic analysis of Australian elapid snakes. In: Longmore, R. (Ed.), Atlas of Elapid Snakes. Australian Government Publishing Service, Canberra, pp. 4\u201315", "Shapiro, M. and Westervelt, J. (1991): r.mapcalc: An Algebra for GIS and Image Processing, U.S. Army Construction Engineering Research Laboratory. https://grass.osgeo.org/grass79/manuals/r.mapcalc.html"]}

This research was supported by the MICINN project PID2019-105101GB-I00. The funding source was not involved in the study design, nor in the collection, analysis, or interpretation of data, the writing of the report, or in the decision to submit the article for publication. The research of CW was funded by the German Research Foundation (DFG) through the Collaborative Research Centre 806 (DFG project number 57444011).