U.S. Data
📰 County-Level Data on Newspaper Coverage of African Americans in the United States (1850–1875)
https://pan.baidu.com/s/1RVdpNCmsVBQ0FNxpVO8Afw
Access code: bqbc
🚔 Uniform Crime Reporting Program Data (1860–2018, United States)
(from Dr. Jacob Kaplan’s research)
https://www.openicpsr.org/openicpsr/project/100707/version/V13/view
⚔️ Data on African American Soldiers in the Union Army during the U.S. Civil War
https://pan.baidu.com/s/1x7rESZZmriTeRT2me6-CjA
Access code: w764
🗞️ American Stories Data: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers (1774–1963)
(from Professor Melissa Dell’s research)
https://arxiv.org/abs/2308.12477
https://huggingface.co/datasets/dell-research-harvard/AmericanStories
🏛️ Congressional Record for the 43rd–114th Congresses: Parsed Speeches and Phrase Counts
(from Professor Matthew Gentzkow’s research)
https://data.stanford.edu/congress_text
🌾 U.S. Population, Agriculture, and Industry Dataset (1790–2002)
(from Professor Michael Haines’s research)
https://www.icpsr.umich.edu/web/ICPSR/studies/2896
🗳️ County-Level Historical Election Data in the United States (1840–1972)
(from Jerome M. Clubb’s research)
https://www.icpsr.umich.edu/web/ICPSR/studies/8611
⚖️ Historical U.S. Lynching Dataset (1882–1930)
(from Beck-Tolnay’s research)
https://pan.baidu.com/s/1I_ySdSHDv_y-FlS-DhYZPg
Access code: mtdh
Chinese Data
🛰️ China Xinwen Lianbo Dataset (CCTV) (2006–2020)
https://pan.baidu.com/s/1XF051jpxogRkl09l4YITYQ
Access code: pfst
💬 Dataset of User Comments from China’s People.cn Message Boards (2011–2023)
https://pan.baidu.com/s/1erD3kLuVyBTbtZ-fT9WfDQ
Access code: 6hcy
🏛️ Dataset of Spokespersons’ Statements from China’s Ministry of Foreign Affairs (2002–2022)
(from Michal Mochtak’s research)
Paper: https://link.springer.com/article/10.1007/s11366-021-09762-3
Data: https://doi.org/10.7910/DVN/BAKGET
🌍 Other Data
🧠 COVIDiSTRESS Diverse Dataset on Psychological and Behavioural Outcomes One Year into the COVID-19 Pandemic
(from Angélique M. Blackburn’s research)
Paper: https://www.nature.com/articles/s41597-022-01383-6
Data: https://osf.io/36tsd/
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