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Dataset on elemental concentration and group identification of ancient potteries from Tamil Nadu, India

The dataset contains concentration of major and trace elements of ancient potteries from Tamilnadu and grouping different potteries from the statistical techniques of factor and cluster analysis (Figs. 2, 3 and 4). The major and trace elemental concentration data generated using energy dispersive X-...

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Autores principales: Chandrasekaran, A., Naseerutheen, A., Ravisankar, R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5155045/
https://www.ncbi.nlm.nih.gov/pubmed/27995157
http://dx.doi.org/10.1016/j.dib.2016.11.075
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author Chandrasekaran, A.
Naseerutheen, A.
Ravisankar, R.
author_facet Chandrasekaran, A.
Naseerutheen, A.
Ravisankar, R.
author_sort Chandrasekaran, A.
collection PubMed
description The dataset contains concentration of major and trace elements of ancient potteries from Tamilnadu and grouping different potteries from the statistical techniques of factor and cluster analysis (Figs. 2, 3 and 4). The major and trace elemental concentration data generated using energy dispersive X-ray fluorescence technique (EDXRF) and factor and cluster analysis data obtained using STATISTICA (10.0 version) software. The concentration of major and trace elements determines the type of clay minerals (Calcareous/Non-Calcareous and either low or high refractory) and firing atmosphere adopted by the artisans at the time of manufacture. The statistical tool examined graphically the grouping pattern of the samples in terms of chemical composition and extract information about their provenance. The compilation of this data provides a resource for the wider research community in archeology.
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spelling pubmed-51550452016-12-19 Dataset on elemental concentration and group identification of ancient potteries from Tamil Nadu, India Chandrasekaran, A. Naseerutheen, A. Ravisankar, R. Data Brief Data Article The dataset contains concentration of major and trace elements of ancient potteries from Tamilnadu and grouping different potteries from the statistical techniques of factor and cluster analysis (Figs. 2, 3 and 4). The major and trace elemental concentration data generated using energy dispersive X-ray fluorescence technique (EDXRF) and factor and cluster analysis data obtained using STATISTICA (10.0 version) software. The concentration of major and trace elements determines the type of clay minerals (Calcareous/Non-Calcareous and either low or high refractory) and firing atmosphere adopted by the artisans at the time of manufacture. The statistical tool examined graphically the grouping pattern of the samples in terms of chemical composition and extract information about their provenance. The compilation of this data provides a resource for the wider research community in archeology. Elsevier 2016-12-01 /pmc/articles/PMC5155045/ /pubmed/27995157 http://dx.doi.org/10.1016/j.dib.2016.11.075 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Chandrasekaran, A.
Naseerutheen, A.
Ravisankar, R.
Dataset on elemental concentration and group identification of ancient potteries from Tamil Nadu, India
title Dataset on elemental concentration and group identification of ancient potteries from Tamil Nadu, India
title_full Dataset on elemental concentration and group identification of ancient potteries from Tamil Nadu, India
title_fullStr Dataset on elemental concentration and group identification of ancient potteries from Tamil Nadu, India
title_full_unstemmed Dataset on elemental concentration and group identification of ancient potteries from Tamil Nadu, India
title_short Dataset on elemental concentration and group identification of ancient potteries from Tamil Nadu, India
title_sort dataset on elemental concentration and group identification of ancient potteries from tamil nadu, india
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5155045/
https://www.ncbi.nlm.nih.gov/pubmed/27995157
http://dx.doi.org/10.1016/j.dib.2016.11.075
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