VORTEX (Variscite origin recognition technology X-ray based) Data. A European geoarchaeological green phosphate compositional dataset
This dataset includes the compositional information of n = 1778 geoarchaeological samples of green phosphate minerals sourced from three major Iberian deposits with evidence of prehistoric mining: Aliste, Terena, and the Gavà Mines. It has been used to develop a data-driven framework that integrates...
| Autores: | , , , , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universidad de Sevilla (US) |
| Repositorio: | idUS. Depósito de Investigación de la Universidad de Sevilla |
| OAI Identifier: | oai:dnet:idus________::a5f178b0f3a6b5bd0a4b5ebded3c3ba1 |
| Acceso en línea: | https://hdl.handle.net/11441/184565 https://doi.org/10.1016/j.dib.2025.111961 |
| Access Level: | acceso abierto |
| Palabra clave: | Provenance analysis Machine learning Random forest Prehistoric exchange networks Iberian Peninsula p-XRF XRD |
| Sumario: | This dataset includes the compositional information of n = 1778 geoarchaeological samples of green phosphate minerals sourced from three major Iberian deposits with evidence of prehistoric mining: Aliste, Terena, and the Gavà Mines. It has been used to develop a data-driven framework that integrates portable X-ray fluorescence (p-XRF) analysis and machine learning (ML), to determine the provenance of archaeological artifacts based on its elemental composition. In addition, a mineralogical analysis by X-ray diffraction (XRD) of a subset (N = 249; n_Aliste = 122, n_Terena = 47 n_Gavà = 80) was conducted to complement the geochemical characterisation of the sample. Data from n = 571 variscite beads from 15 Iberian and French archaeological sites, representing a diverse range of chronocultural contexts spanning from the Neolithic to the Bronze Age, used to test the model are also presented. The compositional data was obtained by using a portable XRF analyser and is presented as atomic percentages of the elements between Al and Th. Mineral compositions were determined using a Panalytical X’Pert Pro θ/θ diffractometer. This dataset has high reuse potential for future non-destructive studies of archaeological artefacts and past social network analyses. |
|---|