Two Excel workbooks contain raw data from dental microwear texture analysis (DMTA) of wolf teeth. The data includes values from scale-sensitive fractal analysis (SSFA) and ISO-defined areal surface texture parameters. This dataset was produced by the Government Digital Service to study the dietary adaptability of European grey wolves across past and present climates.
Use Cases
- Reconstructing paleoenvironments based on dental microwear texture parameters mentioned in the description.
- Comparing dietary stress between fossil and modern wolf populations based on microwear data.
- Modeling predator adaptability to climate change free of anthropogenic influence, as described.
Strengths
- Data is derived from high-resolution scans of epoxy tooth replicas using a Sensofar S neox scanner.
- Analysis utilizes standardized ISO-25718-2 parameters for surface texture quantification.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- Government Digital Service
- Collection Method
- Tooth surface casts were scanned and analyzed using MountainsMap Imaging Topography software.
- Time Range
- Covers fossil wolves from Marine Isotope Stages (MIS) Se & 7 a-c and modern wolves.
- Geography
- Fossil specimens from Britain, modern specimens from Poland.