Two Excel workbooks reporting dental microwear texture analysis (DMTA) raw data. These are values from scale-sensitive fractal analysis (SSFA), and areal surface texture analysis (based on a suite of parameters, most of which are defined by ISO-25718-2) for dental microwear texture analysis of tooth surfaces of wolves from Britain (MIS Se & MIS 7 a-c) and modern Poland wolves. This study examines the dietary adaptability of European grey wolves using dental microwear texture analysis (DMTA). These datasets offer new insights into the palaeoclimatic and palaeoenvironmental conditions under which grey wolves endured climate change in the past, free of anthropogenic influence. They further allow the identification of hitherto-hidden ecological stress today, thereby highlighting potential vulnerabilities in modern populations under current and future climate change. Tooth surface casts were produced using high-resolution, which is optimised for imaging purposes. Epoxy tooth replicas were scanned with a Sensofar S neox. MountainsMap Imaging Topography was utilised to quantify dental microwear texture parameters from Sensofar scans.