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Dental Microwear Texture Analysis (DMTA) of tooth surfaces of fossil wolves from Britain and modern wolves from Poland version 2

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.

Simple

Date (Creation)
2026-01-21
Identifier
http://data.bgs.ac.uk/id/dataHolding/13608613
Originator
  University of Bristol - Amanda Burtt
Bristol ,
Originator
  University of Bristol - Danielle Schreve
Bristol ,
Distributor
  British Geological Survey - Enquiries
United Kingdom
Point of contact
  British Geological Survey - Enquiries
United Kingdom
Maintenance and update frequency
notApplicable notApplicable
GEMET - INSPIRE themes, version 1.0
  • Geology
BGS Thesaurus of Geosciences
  • Fossils
  • Climate change
  • Palaeoenvironment
  • Glacial period
dataCentre
  • NGDC Deposited Data
  • Citable Data
Keywords
  • NERC_DDC
Access constraints
otherRestrictions Other restrictions
Other constraints
licenceOGL
Other constraints
Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"
Use constraints
otherRestrictions Other restrictions
Other constraints
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.
Other constraints
Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"
Metadata language
EnglishEnglish
Topic category
  • Geoscientific information
Begin date
2023-03-22
End date
2025-10-02

Reference System Information

No information provided.
Distribution format
  • Microsoft Excel ( witheld )

Distributor
  British Geological Survey - Enquiries
United Kingdom
OnLine resource
Data ( WWW:DOWNLOAD-1.0-http--download )
OnLine resource
Citation Information - Digital Object Identifier (DOI) ( WWW:LINK-1.0-http--related )

Burtt, A., Schreve, D. (2026). Dental Microwear Texture Analysis (DMTA) of tooth surfaces of fossil wolves from Britain and modern wolves from Poland version 2. NERC EDS National Geoscience Data Centre. (Dataset). https://doi.org/10.5285/0aa0e3e8-d668-4dd4-9089-7bd0ede798d7

Hierarchy level
nonGeographicDataset Non geographic dataset
Other
non geographic dataset

Conformance result

Date (Publication)
2011
Explanation
See the referenced specification
Pass
No

Conformance result

Date (Publication)
2010-12-08
Explanation
See http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:323:0011:0102:EN:PDF
Pass
No
Statement
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 (version V10, Digital Surf, Besançon, France) was utilised to quantify dental microwear texture parameters from a Sensofar S neox profiler. The scan processing protocol comprises: 1) levelling with least squares plane (LSPL) to correct surface inclination, 2) threshold application to eliminate the upper and lower 0.1% of data, 3) filling of non-measured points using the smooth shape calculated from neighbours function, 4) surface point retouching followed by smooth shape fill of missing data points, 5) level again for generating SSFA parameters, 6) form removal with polynomial of degree – 2 (7) spatial filtering (robust Gaussian, order 0 (ISO 16610-71); with a cut-off value of 0.025 ?m) for generating areal texture parameters.
File identifier
495c6cb8-6049-7e2e-e063-3050940a2768 XML
Metadata language
EnglishEnglish
Hierarchy level
nonGeographicDataset Non geographic dataset
Hierarchy level name
non geographic dataset
Date stamp
2026-03-19
Metadata standard name
UK GEMINI
Metadata standard version
2.3
Point of contact
  British Geological Survey
Environmental Science Centre,Keyworth , NOTTINGHAM , NOTTINGHAMSHIRE , NG12 5GG , United Kingdom
+44 115 936 3100
Dataset URI
http://data.bgs.ac.uk/id/dataHolding/13608613
 
 

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