Other Data Paper Zone II Versions ZH4 Vol 5 (3) 2020
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A dataset of centennial figures in the history of Nanjing
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: 2020 - 01 - 13
: 2020 - 05 - 18
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: 2020 - 08 - 07
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Abstract & Keywords
Abstract: Profile data is the basis for studies of historical figures in this information age. This study draws sources from published materials including Biography of Academic Figures in Nanjing During the Republic of China, History of the Republic of China, Volume of People, and Concise Chronicles of Nanjing. The dataset records the profile information of 136 natives and non-native residents with great influence in the history of Nanjing, from the fields of politics, education, science and technology, literature and art. It contains such data items as the figure’s common name, alias, date of birth and death, birthplace, experience, and social ties. This dataset can provide bases for wide-ranging research concerning historical figure query and statistics, social tie visualization and analysis, life map generation, and so on, in a way to promote an in-depth mining and utilization of Nanjing history and culture.
Keywords: historical GIS; profile of figures; spatio-temporal data; historical culture; Nanjing
Dataset Profile
TitleA dataset of centennial figures in the history of Nanjing
Data authorsGuo Chang, Hu Di, Du xiaohan, Li daiwei, Yang yichen, Cheng xinghua
Data corresponding authorHu Di(hud316@gmail.com)
Time range1912–2020
Geographical scopeNanjing City, Jiangsu Province
Data volume136 rows, 136 documents
Data format*.xlsx,XML
Data service system<http://www.sciencedb.cn/dataSet/handle/937>
Sources of fundingNational Nature Science Foundation of China (41771421, 41601421); Top-notch Academic Programs Project of Jiangsu Higher Education Institutions (TAPP).
Dataset compositionThe dataset consists of profile data of 136 outstanding historical figures in Nanjing, including common name, alias, date of birth, place of birth, date of death, place of death, experiences, social ties, etc. The data are stored in Excel and XML formats for ordinary and professional uses, respectively.
Article and author information
Guo Chang
主要承担工作:数据的处理、加工,数据集生成,论文的撰写。
Hu Di
主要承担工作:研究思路设计与论文撰写指导。
hud316@gmail.com
Du xiaohan
主要承担工作:数据的处理、加工,数据集生成。
Li daiwei
主要承担工作:数据的处理、加工,数据集生成。
Yang yichen
主要承担工作:数据的处理、加工,数据集生成。
Cheng Xinghua
Publication records
Released: Jan. 15, 2020 ( VersionsZH3
Published: Aug. 7, 2020 ( VersionsZH4
References
中国科学数据
csdata