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...

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Detalles Bibliográficos
Autores: Sánchez-Gómez, Daniel, Garrido Cordero, José Ángel, Martínez Blanes, José María, Villalobos García, Rodrigo, Edo i Benaiges, Manuel, Catarina Sousa, Ana, Zambrana Vega, María Dolores, Borrel, Ferran, Barroso Bermejo, Rosa, Bueno Ramírez, Primitiva, Odriozola Lloret, Carlos Patricio
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
Descripción
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.