Datasets from papers under evaluation or published in Humanities & Social Sciences Communications (as well as Palgrave Communications until June 2020), which is an open-access online-only journal dedicated to publishing high quality original research across all areas of the humanities, and the social and behavioural sciences.
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621 to 630 of 640 Results
Apr 26, 2016
Bokányi, Eszter, 2016, "Replication Data for: Race, Religion and the City: Twitter Word Frequency Patterns Reveal Dominant Demographic Dimensions in the United States", https://doi.org/10.7910/DVN/EXWJRJ, Harvard Dataverse, V1
Public dataset for research paper published in Palgrave Communications.
ZIP Archive - 558.1 MB - MD5: 9f74ef2138000bd25d7ad6a756f959f7
Index file as html, with links pointing to the data files in the neighbouring folder.
Nov 3, 2015
Ranganathan, Shyam, 2015, "The Demographic Transition and Economic Growth: Implications for Development Policy", https://doi.org/10.7910/DVN/1ZUDJI, Harvard Dataverse, V1, UNF:6:UxTvYZACOp5Celcf2In2Mw== [fileUNF]
The files included contain the development data used in the modeling of the demographic transition. The WDI indicators dataset is publicly available at the World Bank data catalog. We use the 2010 dataset in our analysis. The Barro-Lee dataset provides information on educational attainment. We use average years of schooling for the female populatio...
MS Excel Spreadsheet - 593.5 KB - MD5: 660baf4e66bda9e24b10cfe06ba62f8c
BarroLee dataset on female educational attainment
Tabular Data - 436 B - 1 Variables, 3 Observations - UNF:6:UxTvYZACOp5Celcf2In2Mw==
World Development Indicators dataset
Oct 6, 2015
Liu, Feiyan; Liu, Yang; Gao, Jianbo; Zhang,Jianfang, 2015, "Replication Data for: Food safety incidents in Beijing: patterns, causes and wider social implications", https://doi.org/10.7910/DVN/Q8DDM9, Harvard Dataverse, V1
Data analyzed in the Palgrave Communications article, "Food safety incidents in Beijing: patterns, causes and wider social implications "
Sep 22, 2015
li, huajiao, 2015, "Fluctuation patterns of financial multi–time series.", https://doi.org/10.7910/DVN/NRWQYU, Harvard Dataverse, V1
The daily fluctuation patterns of four well-known stock indices, the NASDAQ Composite (COMP), the S&P 500 Index, the Dow Jones Industrial Average and the Russell 1000 Index. from January 22, 2003 to January 21, 2015.
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