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The database for extracting numerical and visual properties of numerosity processing in the Chinese population

The ability to handle non-symbolic numerosity has been recurrently linked to mathematical abilities. The accumulated data provide a rich resource that can reflect the underlying properties (i.e., dot ratio, area, convex hull, perimeters, distance, and hash) of numerosity processing. This article rep...

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Autores principales: Cheng, Dazhi, Cui, Zhijun, Chen, Chunhui, Xu, Xin, Niu, Kai, He, Zhiqiang, Zhou, Xinlin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9840615/
https://www.ncbi.nlm.nih.gov/pubmed/36641531
http://dx.doi.org/10.1038/s41597-023-01933-6
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author Cheng, Dazhi
Cui, Zhijun
Chen, Chunhui
Xu, Xin
Niu, Kai
He, Zhiqiang
Zhou, Xinlin
author_facet Cheng, Dazhi
Cui, Zhijun
Chen, Chunhui
Xu, Xin
Niu, Kai
He, Zhiqiang
Zhou, Xinlin
author_sort Cheng, Dazhi
collection PubMed
description The ability to handle non-symbolic numerosity has been recurrently linked to mathematical abilities. The accumulated data provide a rich resource that can reflect the underlying properties (i.e., dot ratio, area, convex hull, perimeters, distance, and hash) of numerosity processing. This article reports a database of numerosity processing in the Chinese population. The database contains five independent datasets with 7459, 4902, 415, 671, 414 participants respectively. For each dataset, all data were collected in the same online computerized test, examination room, professorial tester, and using the same protocols. Computational modeling method could be used to extract the dot ratio and visual properties of numerosity from five types of dot stimuli. This database enables researchers to test the theoretical hypotheses regarding numerosity processing using a large sample population. The database can also indicate the individual difference of non-symbolic numerosity in mathematical abilities.
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spelling pubmed-98406152023-01-16 The database for extracting numerical and visual properties of numerosity processing in the Chinese population Cheng, Dazhi Cui, Zhijun Chen, Chunhui Xu, Xin Niu, Kai He, Zhiqiang Zhou, Xinlin Sci Data Data Descriptor The ability to handle non-symbolic numerosity has been recurrently linked to mathematical abilities. The accumulated data provide a rich resource that can reflect the underlying properties (i.e., dot ratio, area, convex hull, perimeters, distance, and hash) of numerosity processing. This article reports a database of numerosity processing in the Chinese population. The database contains five independent datasets with 7459, 4902, 415, 671, 414 participants respectively. For each dataset, all data were collected in the same online computerized test, examination room, professorial tester, and using the same protocols. Computational modeling method could be used to extract the dot ratio and visual properties of numerosity from five types of dot stimuli. This database enables researchers to test the theoretical hypotheses regarding numerosity processing using a large sample population. The database can also indicate the individual difference of non-symbolic numerosity in mathematical abilities. Nature Publishing Group UK 2023-01-14 /pmc/articles/PMC9840615/ /pubmed/36641531 http://dx.doi.org/10.1038/s41597-023-01933-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Cheng, Dazhi
Cui, Zhijun
Chen, Chunhui
Xu, Xin
Niu, Kai
He, Zhiqiang
Zhou, Xinlin
The database for extracting numerical and visual properties of numerosity processing in the Chinese population
title The database for extracting numerical and visual properties of numerosity processing in the Chinese population
title_full The database for extracting numerical and visual properties of numerosity processing in the Chinese population
title_fullStr The database for extracting numerical and visual properties of numerosity processing in the Chinese population
title_full_unstemmed The database for extracting numerical and visual properties of numerosity processing in the Chinese population
title_short The database for extracting numerical and visual properties of numerosity processing in the Chinese population
title_sort database for extracting numerical and visual properties of numerosity processing in the chinese population
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9840615/
https://www.ncbi.nlm.nih.gov/pubmed/36641531
http://dx.doi.org/10.1038/s41597-023-01933-6
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