five

Dataset for investigating unattributed Modigliani paintings

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DataCite Commons2025-09-23 更新2025-04-17 收录
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https://research.lancaster-university.uk/en/datasets/2698a9bf-464b-4112-8d01-6e6ab04068fe
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These datasets support the publication "The use of multiple systems estimation to estimate the number of unattributed paintings by Modigliani " published in "Statistical Modelling and Applications" in December 2024. There are two CSV files. The first file "modigliani_data_case_by_case.csv" lists all paintings one by one listed in at least one of the five Catalogues Raisonees considered in the paper. There are 488 paintings. There are five columns, one for each Catalogue. A 0 entry in a column means that that painting was not listed in that particular Catalogue. Otherwise, the reference number of that painting in that Catalogue is given. The second file "modiglianifreqtable.csv" gives the data in frequency form. and provides Table 2 of the paper in machine-readable form. Each row gives the number of paintings who are either present or not present in the specific Catalogues. A 0 indicates the paintings were not present, a 1 indicates that they were. The final column gives the number of paintings with that combination of characteristics. So, for example, the first line indicates that there were 23 paintings which appear in the Pfannstiel Catalogue but in none of the other four. The frequency form of the data is useful for modelling and multiple systems estimation, and is described in https://cran.r-project.org/web/packages/DescTools/vignettes/TablesInR.pdf The data was collected in July 2023 from https://www.secretmodigliani.com. We are extremely grateful to the author of this website, Francisco Garcia, for permission to use this data. The website states that "© SecretModigliani has no rights reserved, please feel free to use what you want." Users of this dataset should bear in mind that the secretmodigliani website is a work in progress, and is continuously updated. Description
提供机构:
Lancaster University
创建时间:
2024-12-09
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