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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61 to 70 of 106 Results
Replication Data for Effect of social media usage on the cultural identity of rural people: a case study of Bamha village, Egypt
Jul 15, 2022
Radwan, Mostafa, 2022, "Replication Data for Effect of social media usage on the cultural identity of rural people: a case study of Bamha village, Egypt", https://doi.org/10.7910/DVN/EPWBDY, Harvard Dataverse, V1
Replication Data for Effect of social media usage on the cultural identity of rural people: a case study of Bamha village, Egypt
Major League Baseball during the COVID-19 pandemic: Does a lack of spectators affect home advantage?
Jul 15, 2022
Chang, Chen-Kang; Chiu, Yung-Chin, 2022, "Major League Baseball during the COVID-19 pandemic: Does a lack of spectators affect home advantage?", https://doi.org/10.7910/DVN/15CITZ, Harvard Dataverse, V1
This data contains a record of MLB games played from 1995-2020. The information used here was obtained free of charge from and is copyrighted by Retrosheet. Interested parties may contact Retrosheet at "www.retrosheet.org".
Replication Data for: Emergence of protests during the COVID-19 pandemic: quantitative models to explore the contributions of societal conditions
Jul 15, 2022
van der Zwet, Koen, 2022, "Replication Data for: Emergence of protests during the COVID-19 pandemic: quantitative models to explore the contributions of societal conditions", https://doi.org/10.7910/DVN/2ZV4YZ, Harvard Dataverse, V1, UNF:6:BfrmS5lSn6JW1fKjiTfmnQ== [fileUNF]
Factors and proxies
Replication Data for: Computational appraisal of gender representativeness
Jul 15, 2022
Mazieres, Antoine, 2022, "Replication Data for: Computational appraisal of gender representativeness", https://doi.org/10.7910/DVN/5JTVLH, Harvard Dataverse, V1, UNF:6:IaL+TGC7jkkKt92z4c/uXg== [fileUNF]
Datasets generated and analysed during the study "Computational appraisal of gender representativeness in popular movies" (under review).
Replication Data for: Optimising Self-Organised Volunteer Efforts in Response to the COVID-19 Pandemic
Apr 20, 2022
Zhang, Anping; Zhang, Ke; Li, Wanda; Wang, Yue; Li, Yang; Zhang, Lin, 2022, "Replication Data for: Optimising Self-Organised Volunteer Efforts in Response to the COVID-19 Pandemic", https://doi.org/10.7910/DVN/YUOOBB, Harvard Dataverse, V1
The attached file includes all data and code for the analysis.
Replication Data for: Individualism and the Fight Against COVID-19
Apr 4, 2022
Huang, Li; Li, Oliver Zhen; Wang, Baiqiang; Zhang, Zilong, 2022, "Replication Data for: Individualism and the Fight Against COVID-19", https://doi.org/10.7910/DVN/BLRXJ1, Harvard Dataverse, V2, UNF:6:OdTqVoOLLy+NR/OaXj3PLg== [fileUNF]
Replication Data for: Individualism and the Fight Against COVID-19
Replication Data for: Kenji Itao and Kunihiko Kaneko "Evolution of family systems and resultant socio-economic structures"
Sep 23, 2021
Itao, Kenji; Kaneko, Kunihiko, 2021, "Replication Data for: Kenji Itao and Kunihiko Kaneko "Evolution of family systems and resultant socio-economic structures"", https://doi.org/10.7910/DVN/3ZGCQI, Harvard Dataverse, V1, UNF:6:gFOhOJejnf/l+NQ1906vIg== [fileUNF]
Simulation codes for Kenji Itao and Kunihiko Kaneko "Evolution of family systems and resultant socio-economic structures" 2021.
Kuznar COVID 19 Oct 22 Humanities and Social Sciences Comms data
Jul 26, 2021
Kuznar, Lawrence, 2021, "Kuznar COVID 19 Oct 22 Humanities and Social Sciences Comms data", https://doi.org/10.7910/DVN/SGULSY, Harvard Dataverse, V1, UNF:6:DVIMgP7ydT7/u4PlonWuaQ== [fileUNF]
Data used for statistical models of COVID 19 drivers through October 2020
Replication Data for: Understanding the Timing of Chinese Border Incursions into India
Jun 7, 2021
Greene, Kevin; Tornquist, Caroline; Fokkink, Robbert; Lindelauf, Roy; Subrahmanian, V.S., 2021, "Replication Data for: Understanding the Timing of Chinese Border Incursions into India", https://doi.org/10.7910/DVN/DQJEGU, Harvard Dataverse, V1, UNF:6:vr19nXrpyVM1u/AIBR1GbQ== [fileUNF]
R code and supporting data for the Article: Understanding the Timing of Chinese Border Incursions into India
Replication Data for Currie et al. 2020 "Duration of agriculture and distance from the steppe predict the evolution of large-scale human societies in Afro-Eurasia"
Jan 13, 2021
Currie, Thomas, 2020, "Replication Data for Currie et al. 2020 "Duration of agriculture and distance from the steppe predict the evolution of large-scale human societies in Afro-Eurasia"", https://doi.org/10.7910/DVN/8TP2S7, Harvard Dataverse, V2, UNF:6:66jDbS21l5g3U6p81ijsGA== [fileUNF]
R code and supporting data for the Article: Currie, TE, Turchin, P, Turner, E, and Gavrilets, S. (2020) "Duration of agriculture and distance from the steppe predict the evolution of large-scale human societies in Afro-Eurasia" to be published in Palgrave Communications
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