GCMS data files for: Detection of dairy products from multiple taxa in Late Neolithic pottery from Poland: an integrated biomolecular approach
Lundy, Jasmine; Evans, Miranda (2023), GCMS data files for: Detection of dairy products from multiple taxa in Late Neolithic pottery from Poland: an integrated biomolecular approach, Dryad, Dataset, https://doi.org/10.5061/dryad.905qfttpt
The detection of dairy processing is pivotal to our understanding of ancient subsistence strategies. This culinary process is linked to key arguments surrounding the evolution of lactase persistence in prehistory. Despite extensive evidence indicating the presence of dairy products in ceramics in the European Neolithic, questions remain about the nature and extent of milk (and lactose) processing and consumption. In order to investigate past patterns of dairy processing, here we analyse ancient proteins identified from Late Neolithic Funnel Beaker ceramics, scrutinising the principle that curd and whey proteins partition during the production of dairy foods from milk. Our results indicate the presence of casein-rich dairy products in these vessels suggesting the creation of curd-enriched products from raw milk. Moreover, this analysis reveals the use of multiple species for their dairy products in the Late Neolithic Funnel Beaker culture, adding to a growing body of evidence that multiple taxa were exploited for dairying in the Neolithic. Alongside palaeoproteomic analysis we also apply lipid residue analysis, with discrepancies in these two approaches suggesting that effects from isotope mixing may be underestimating the frequency of milk use in prehistoric pottery, highlighting the utility of a multi-stranded approach.
This data set is comprised of data files produced by Gas Chromatography-Mass Spectrometry (GC-MS) of lipids extracted using acid extraction method from pottery sherds from the Late Neolithic site Sławęcinek, Poland
These data are linked to the published journal where methods of extraction, the context of pottery and the interpretation of data are fully described.
Each file corresponds to the sample name as recorded in the paper and contains a usable cdf. file alongside the acquisition method in TEXT format.
.cdf files can be converted to .d files to be read using masshunter or chemstation software.
H2020 European Research Council, Award: 695539