40a0d233-485a-9345-e063-3050940a2626 English nonGeographicDataset non geographic dataset British Geological Survey +44 115 936 3100 Environmental Science Centre,Keyworth NOTTINGHAM NOTTINGHAMSHIRE NG12 5GG United Kingdom enquiries@bgs.ac.uk pointOfContact 2026-03-19 UK GEMINI 2.3 http://data.bgs.ac.uk/id/dataHolding/13608540 Dental Microwear Texture Analysis (DMTA) of tooth surfaces of fossil wolves from Britain and modern wolves from Poland 2025-10-03 creation http://data.bgs.ac.uk/id/dataHolding/13608540 This dataset has been superseded, the latest version is version 2, http://data.bgs.ac.uk/id/dataHolding/13608613 Dental microwear texture analysis (DMTA) raw data.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 5e & MIS 7 a-c) and modern Poland wolves. This study examines the dietary adaptability of European grey wolves using dental microwear texture analysis (DMTA). We compare modern Polish wolf populations from the present interglacial (Holocene), with fossil specimens from two contrasting Pleistocene interglacials: the warmer Last Interglacial (Marine Oxygen Isotope Stage [MIS] 5e) and the cooler Penultimate Interglacial (MIS 7a–c). 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. And allows the identification of hitherto-hidden ecological stress today, thereby highlighting potential vulnerabilities in modern populations under current and future climate change. Amanda Burtt University of Bristol Bristol not available originator Danielle Schreve University of Bristol Bristol not available originator Enquiries British Geological Survey United Kingdom not available distributor Enquiries British Geological Survey United Kingdom not available pointOfContact notApplicable https://resources.bgs.ac.uk/images/geonetworkThumbs/40a0d233-485a-9345-e063-3050940a2626.png Geology GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Glacial period Climate change Fossils Palaeoenvironment BGS Thesaurus of Geosciences 2022 revision NGDC Deposited Data Citable Data dataCentre NERC_DDC otherRestrictions licenceOGL Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]" otherRestrictions The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused. Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]" English geoscientificInformation 2023-03-22 2025-10-02 Microsoft Excel witheld Enquiries British Geological Survey United Kingdom not available distributor https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item190166 WWW:DOWNLOAD-1.0-http--download Data download https://doi.org/10.5285/bfb67ae1-cd30-4e4f-8cb5-aa6cf53a8572 WWW:LINK-1.0-http--related Citation Information - Digital Object Identifier (DOI) Burtt, A., Schreve, D. (2025). Dental Microwear Texture Analysis (DMTA) of tooth surfaces of fossil wolves from Britain and modern wolves from Poland. NERC EDS National Geoscience Data Centre. (Dataset). https://doi.org/10.5285/bfb67ae1-cd30-4e4f-8cb5-aa6cf53a8572 information nonGeographicDataset non geographic dataset INSPIRE Implementing rules laying down technical arrangements for the interoperability and harmonisation of Geology 2011 publication See the referenced specification false Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 publication See http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:323:0011:0102:EN:PDF false 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. Nonparametric statistical tests were used on untransformed raw data for analysis. Our hypotheses were tested using Wilcoxon two-sample tests for comparisons between two groups, or Kruskal-Wallis tests between three groups. Nonparametric Steel-Dwass pairwise tests were used following Kruskal-Wallis tests to test for significant differences between pairs of groups. PCA was used to test whether Pleistocene (MIS 5e and MIS 7a-c) and modern wolf groups (Poland) occupied statistically different areas of multivariate texture-dietary space.