[Dataset] New Strategies in Archaeometric Provenance Analyses of Volcanic Rock Grinding Stones: Examples from Iulia Libica (Spain) and Sidi Zahruni (Tunisia)

Archaeometry can help archaeologists in many ways, and one of the most common archaeometric objectives is provenance analysis. Volcanic rocks are often found in archaeological sites as materials used to make grinding tools such as millstones and mortars or as building materials. Petrographic charact...

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Detalhes bibliográficos
Autores: Casas, Lluís, Di Febo, Roberta, Anglisano, Anna, Pitarch Martí, África, Queralt Mitjans, Ignacio, Carreras, Cèsar, Fouzai, Boutheina
Tipo de documento: conjunto de datos
Data de publicação:2024
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositório:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/385635
Acesso em linha:http://hdl.handle.net/10261/385635
https://digital.csic.es/handle/10261/362731
Access Level:Acceso aberto
Palavra-chave:Volcanic stone
Archaeometry
Clustering
Grinding tools
Machine learning
Provenance studies
XRF
http://metadata.un.org/sdg/7
http://metadata.un.org/sdg/9
Ensure access to affordable, reliable, sustainable and modern energy for all
Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
Ensure sustainable consumption and production patterns
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network_acronym_str ES
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repository_id_str
spelling [Dataset] New Strategies in Archaeometric Provenance Analyses of Volcanic Rock Grinding Stones: Examples from Iulia Libica (Spain) and Sidi Zahruni (Tunisia)Casas, LluísDi Febo, RobertaAnglisano, AnnaPitarch Martí, ÁfricaQueralt Mitjans, IgnacioCarreras, CèsarFouzai, BoutheinaVolcanic stoneArchaeometryClusteringGrinding toolsMachine learningProvenance studiesXRFhttp://metadata.un.org/sdg/7http://metadata.un.org/sdg/9Ensure access to affordable, reliable, sustainable and modern energy for allBuild resilient infrastructure, promote inclusive and sustainable industrialization and foster innovationEnsure sustainable consumption and production patternsArchaeometry can help archaeologists in many ways, and one of the most common archaeometric objectives is provenance analysis. Volcanic rocks are often found in archaeological sites as materials used to make grinding tools such as millstones and mortars or as building materials. Petrographic characterization is commonly applied to identify their main mineralogical components. However, the provenance study of volcanic stones is usually undertaken by comparing geochemical data from reference outcrops using common descriptive statistical tools such as biplots of chemical elements, and occasionally, unsupervised multivariate data analysis like principal component analysis (PCA) is also used. Recently, the use of supervised classification methods has shown a superior performance in assigning provenance to archaeological samples. However, these methods require the use of reference databases for all the possible provenance classes in order to train the classification models. The existence of comprehensive collections of published geochemical analyses of igneous rocks enables the use of the supervised approach for the provenance determination of volcanic stones. In this paper, the provenance of volcanic grinding tools from two archaeological sites (Iulia Libica, Spain, and Sidi Zahruni, Tunisia) is attempted using data from the GEOROC database through unsupervised and supervised approaches. The materials from Sidi Zahruni have been identified as basalts from Pantelleria (Italy), and the agreement between the different supervised classification models tested is particularly conclusive. In contrast, the provenance of the materials from Iulia Libica remained undetermined. The results illustrate the advantages and limitations of all the examined methods.Peer reviewedMultidisciplinary Digital Publishing Institute0000-0003-0948-86580000-0002-1102-82310000-0002-8396-94870000-0002-8790-8382Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202520252024info:eu-repo/semantics/datasethttp://purl.org/coar/resource_type/c_ddb1http://hdl.handle.net/10261/385635https://digital.csic.es/handle/10261/362731reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésMineralsNew Strategies in Archaeometric Provenance Analyses of Volcanic Rock Grinding Stones: Examples from Iulia Libica (Spain) and Sidi Zahruni (Tunisia)Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3856352026-05-22T06:33:51Z
dc.title.none.fl_str_mv [Dataset] New Strategies in Archaeometric Provenance Analyses of Volcanic Rock Grinding Stones: Examples from Iulia Libica (Spain) and Sidi Zahruni (Tunisia)
title [Dataset] New Strategies in Archaeometric Provenance Analyses of Volcanic Rock Grinding Stones: Examples from Iulia Libica (Spain) and Sidi Zahruni (Tunisia)
spellingShingle [Dataset] New Strategies in Archaeometric Provenance Analyses of Volcanic Rock Grinding Stones: Examples from Iulia Libica (Spain) and Sidi Zahruni (Tunisia)
Casas, Lluís
Volcanic stone
Archaeometry
Clustering
Grinding tools
Machine learning
Provenance studies
XRF
http://metadata.un.org/sdg/7
http://metadata.un.org/sdg/9
Ensure access to affordable, reliable, sustainable and modern energy for all
Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
Ensure sustainable consumption and production patterns
title_short [Dataset] New Strategies in Archaeometric Provenance Analyses of Volcanic Rock Grinding Stones: Examples from Iulia Libica (Spain) and Sidi Zahruni (Tunisia)
title_full [Dataset] New Strategies in Archaeometric Provenance Analyses of Volcanic Rock Grinding Stones: Examples from Iulia Libica (Spain) and Sidi Zahruni (Tunisia)
title_fullStr [Dataset] New Strategies in Archaeometric Provenance Analyses of Volcanic Rock Grinding Stones: Examples from Iulia Libica (Spain) and Sidi Zahruni (Tunisia)
title_full_unstemmed [Dataset] New Strategies in Archaeometric Provenance Analyses of Volcanic Rock Grinding Stones: Examples from Iulia Libica (Spain) and Sidi Zahruni (Tunisia)
title_sort [Dataset] New Strategies in Archaeometric Provenance Analyses of Volcanic Rock Grinding Stones: Examples from Iulia Libica (Spain) and Sidi Zahruni (Tunisia)
dc.creator.none.fl_str_mv Casas, Lluís
Di Febo, Roberta
Anglisano, Anna
Pitarch Martí, África
Queralt Mitjans, Ignacio
Carreras, Cèsar
Fouzai, Boutheina
author Casas, Lluís
author_facet Casas, Lluís
Di Febo, Roberta
Anglisano, Anna
Pitarch Martí, África
Queralt Mitjans, Ignacio
Carreras, Cèsar
Fouzai, Boutheina
author_role author
author2 Di Febo, Roberta
Anglisano, Anna
Pitarch Martí, África
Queralt Mitjans, Ignacio
Carreras, Cèsar
Fouzai, Boutheina
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv 0000-0003-0948-8658
0000-0002-1102-8231
0000-0002-8396-9487
0000-0002-8790-8382
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Volcanic stone
Archaeometry
Clustering
Grinding tools
Machine learning
Provenance studies
XRF
http://metadata.un.org/sdg/7
http://metadata.un.org/sdg/9
Ensure access to affordable, reliable, sustainable and modern energy for all
Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
Ensure sustainable consumption and production patterns
topic Volcanic stone
Archaeometry
Clustering
Grinding tools
Machine learning
Provenance studies
XRF
http://metadata.un.org/sdg/7
http://metadata.un.org/sdg/9
Ensure access to affordable, reliable, sustainable and modern energy for all
Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
Ensure sustainable consumption and production patterns
description Archaeometry can help archaeologists in many ways, and one of the most common archaeometric objectives is provenance analysis. Volcanic rocks are often found in archaeological sites as materials used to make grinding tools such as millstones and mortars or as building materials. Petrographic characterization is commonly applied to identify their main mineralogical components. However, the provenance study of volcanic stones is usually undertaken by comparing geochemical data from reference outcrops using common descriptive statistical tools such as biplots of chemical elements, and occasionally, unsupervised multivariate data analysis like principal component analysis (PCA) is also used. Recently, the use of supervised classification methods has shown a superior performance in assigning provenance to archaeological samples. However, these methods require the use of reference databases for all the possible provenance classes in order to train the classification models. The existence of comprehensive collections of published geochemical analyses of igneous rocks enables the use of the supervised approach for the provenance determination of volcanic stones. In this paper, the provenance of volcanic grinding tools from two archaeological sites (Iulia Libica, Spain, and Sidi Zahruni, Tunisia) is attempted using data from the GEOROC database through unsupervised and supervised approaches. The materials from Sidi Zahruni have been identified as basalts from Pantelleria (Italy), and the agreement between the different supervised classification models tested is particularly conclusive. In contrast, the provenance of the materials from Iulia Libica remained undetermined. The results illustrate the advantages and limitations of all the examined methods.
publishDate 2024
dc.date.none.fl_str_mv 2024
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/dataset
http://purl.org/coar/resource_type/c_ddb1
format dataset
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/385635
https://digital.csic.es/handle/10261/362731
url http://hdl.handle.net/10261/385635
https://digital.csic.es/handle/10261/362731
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Minerals
New Strategies in Archaeometric Provenance Analyses of Volcanic Rock Grinding Stones: Examples from Iulia Libica (Spain) and Sidi Zahruni (Tunisia)
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869421237291188224
score 15.198674

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