Estimation of archaeological site occupation time spans using genomic admixture...
Estimation of archaeological site occupation time spans using genomic admixture and radiocarbon dating
Archaeological site occupation time span estimates can take the form of quantitative and qualitative intervals. The former can use methods such as radiocarbon dating to obtain temporal calendar intervals that, in some cases, can b...
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Descripción del proyecto
Archaeological site occupation time span estimates can take the form of quantitative and qualitative intervals. The former can use methods such as radiocarbon dating to obtain temporal calendar intervals that, in some cases, can be fairly precise. For the latter, broader temporal qualitative intervals can be inferred from the characterization of collected materials and artefacts, the identification of specific physical structures, or the type of burial practices. With the increasing incorporation of genomic analysis in archaeological studies where human remains are present, specifically to study population origins, admixture, and social organisation, radiocarbon dates are frequently obtained from the osteological materials being analysed. This allows for a better integration of the genomic, archaeological, and anthropological data, but also leads to an increased usage of finite and unique osteological material. To overcome this, it is theoretically possible to estimate site occupation interval spans using an intertwined matrix of genomic admixture intervals, and only a handful radiocarbon dates for calibration, if calendar dates are required. This project aims to use genomic admixture date estimation software, such as DATES, to evaluate the efficacy of the proposed methodology by using published data from hundreds of samples, and by producing a new genomic and radiocarbon dataset from a site in Portugal. The latter will allow subsampling and simulation analysis, which will be essential for statistical testing of a new open source bioinformatic analytical tool, named OCCUPOMICS, which would allow the user to quickly calculate site occupation intervals and calendar dates by inputting a genomic dataset and any related direct radiocarbon dates.This project, therefore, could lead to a decreased need of radiocarbon dates when site-wise genomic data is available, provide improved precision in dating sites, as well as saving unique osteological material and reducing costs.
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