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Dataset of coded handwriting features for use in statistical modelling

The data presented here is related to the article titled, “Using handwriting to infer a writer's country of origin for forensic intelligence purposes” (Agius et al., 2017) [1]. This article reports original writer, spatial and construction characteristic data for thirty-seven English Australian...

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Autores principales: Agius, Anna, Morelato, Marie, Moret, Sébastien, Chadwick, Scott, Jones, Kylie, Epple, Rochelle, Brown, James, Roux, Claude
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5752089/
https://www.ncbi.nlm.nih.gov/pubmed/29322083
http://dx.doi.org/10.1016/j.dib.2017.12.014
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author Agius, Anna
Morelato, Marie
Moret, Sébastien
Chadwick, Scott
Jones, Kylie
Epple, Rochelle
Brown, James
Roux, Claude
author_facet Agius, Anna
Morelato, Marie
Moret, Sébastien
Chadwick, Scott
Jones, Kylie
Epple, Rochelle
Brown, James
Roux, Claude
author_sort Agius, Anna
collection PubMed
description The data presented here is related to the article titled, “Using handwriting to infer a writer's country of origin for forensic intelligence purposes” (Agius et al., 2017) [1]. This article reports original writer, spatial and construction characteristic data for thirty-seven English Australian writers and thirty-seven Vietnamese writers. All of these characteristics were coded and recorded in Microsoft Excel 2013 (version 15.31). The construction characteristics coded were only extracted from seven characters, which were: ‘g’, ‘h’, ‘th’, ‘M’, ‘0’, ‘7’ and ‘9’. The coded format of the writer, spatial and construction characteristics is made available in this Data in Brief in order to allow others to perform statistical analyses and modelling to investigate whether there is a relationship between the handwriting features and the nationality of the writer, and whether the two nationalities can be differentiated. Furthermore, to employ mathematical techniques that are capable of characterising the extracted features from each participant.
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spelling pubmed-57520892018-01-10 Dataset of coded handwriting features for use in statistical modelling Agius, Anna Morelato, Marie Moret, Sébastien Chadwick, Scott Jones, Kylie Epple, Rochelle Brown, James Roux, Claude Data Brief Medicine and Dentistry The data presented here is related to the article titled, “Using handwriting to infer a writer's country of origin for forensic intelligence purposes” (Agius et al., 2017) [1]. This article reports original writer, spatial and construction characteristic data for thirty-seven English Australian writers and thirty-seven Vietnamese writers. All of these characteristics were coded and recorded in Microsoft Excel 2013 (version 15.31). The construction characteristics coded were only extracted from seven characters, which were: ‘g’, ‘h’, ‘th’, ‘M’, ‘0’, ‘7’ and ‘9’. The coded format of the writer, spatial and construction characteristics is made available in this Data in Brief in order to allow others to perform statistical analyses and modelling to investigate whether there is a relationship between the handwriting features and the nationality of the writer, and whether the two nationalities can be differentiated. Furthermore, to employ mathematical techniques that are capable of characterising the extracted features from each participant. Elsevier 2017-12-13 /pmc/articles/PMC5752089/ /pubmed/29322083 http://dx.doi.org/10.1016/j.dib.2017.12.014 Text en © 2017 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 Medicine and Dentistry
Agius, Anna
Morelato, Marie
Moret, Sébastien
Chadwick, Scott
Jones, Kylie
Epple, Rochelle
Brown, James
Roux, Claude
Dataset of coded handwriting features for use in statistical modelling
title Dataset of coded handwriting features for use in statistical modelling
title_full Dataset of coded handwriting features for use in statistical modelling
title_fullStr Dataset of coded handwriting features for use in statistical modelling
title_full_unstemmed Dataset of coded handwriting features for use in statistical modelling
title_short Dataset of coded handwriting features for use in statistical modelling
title_sort dataset of coded handwriting features for use in statistical modelling
topic Medicine and Dentistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5752089/
https://www.ncbi.nlm.nih.gov/pubmed/29322083
http://dx.doi.org/10.1016/j.dib.2017.12.014
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