How to cite this Dataset
Adair, Lily R. and Cramer, Rainer (2025): Dataset to support 'Rapid and accurate biological sex estimation by LAP-MALDI MS analysis of child teeth'. University of Reading. Dataset. https://doi.org/10.17864/1947.001402
Description
This dataset includes raw and processed data demonstrating the use of a new rapid workflow for estimating the biological sex of human individuals using liquid atmospheric-pressure matrix-assisted laser desorption/ionisation (LAP-MALDI) mass spectrometry (MS) and MS/MS analysis of amelogenin peptides. By applying a straightforward classification rule that leverages a panel of MS and MS/MS ion signals, it was also possible to estimate the biological sex of deciduous teeth.
All teeth were obtained from a single site (St. Oswald’s Priory, Gloucester, UK) and together with their skeletal remains curated by the Department of Archaeology at the University of Reading.
All MS and MS/MS analyses were conducted using a modified Synapt G2-Si (Waters, Wilmslow, UK) equipped with a custom-built atmospheric pressure MALDI source.
Raw data were processed with Mascot Distiller (Version 2.8.5.0, 64-bit; Matrix Science, London, UK) for automated peak picking, with each raw data file analysed using three different signal-to-noise ratios (S/N): 2, 10, and 50.
| Resource Type: | Dataset | 
|---|---|
| Creators: | Adair, Lily R.  | 
		
| Rights-holders: | University of Reading | 
| Data Publisher: | University of Reading | 
| Publication Year: | 2025 | 
| Data last accessed: | 31 October 2025 | 
| DOI: | https://doi.org/10.17864/1947.001402 | 
| Metadata Record URL: | https://researchdata.reading.ac.uk/id/eprint/1402 | 
| Organisational units: | Life Sciences > School of Chemistry, Food and Pharmacy > Department of Chemistry | 
| Participating Organisations: | University of Reading | 
| Keywords: | mass spectrometry, liquid atmospheric-pressure matrix-assisted laser desorption/ionisation (LAP-MALDI), sex estimation, deciduous, amelogenin, peptide identification, proteomics | 
| Rights: | |
| Data Availability: | OPEN | 
        
					
					
