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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21 to 30 of 106 Results
Replication for "On the opposition to market institutions on moral grounds"
Aug 20, 2024
Hauge, Karen Evelyn; Kverndokk, Snorre; Lange, Andreas, 2024, "Replication for "On the opposition to market institutions on moral grounds"", https://doi.org/10.7910/DVN/I5N0DR, Harvard Dataverse, V1
The dataset contains results from a survey conducted on Amazon Mechanical Turk (MTurk) in December 2020. There were 902 participants, but 48 were dropped from our sample because they did not complete the survey. Thus, there are 854 participants in our analysis sample. We limited the experiment to MTurk workers from the U.S.
Research on the influence of self-quantification on individual’s participation performance and behavioral decision-making in physical fitness activities
Aug 9, 2024
Zhang, Yudong, 2024, "Research on the influence of self-quantification on individual’s participation performance and behavioral decision-making in physical fitness activities", https://doi.org/10.7910/DVN/BTM0HJ, Harvard Dataverse, V1, UNF:6:dtHhRIcy12Jml+Qm0Y7Ttg== [fileUNF]
Data of experiment 1. In experiment 1, the researchers invite subjects to participate in a fitness activity, which include a variety of high and low intensity stretching exercises. The data involves subjects’ participation outcome, perceived certainty and outcome salience, activity category selection in different situations of self-quantification a...
Effect of COVID-19 on the Mutual Trade Between Germany and Visegrad Four
Jul 23, 2024
Uğurlu, Erginbay; Jindrichovska, Irena, 2024, "Effect of COVID-19 on the Mutual Trade Between Germany and Visegrad Four", https://doi.org/10.7910/DVN/5DE1LC, Harvard Dataverse, V1
The collected data which was used in the empirical application of the Effect of COVID-19 on the Mutual Trade Between Germany and Visegrad Four.
Replication Data for: Relation between attitudes towards pornography consumption, peer sexual behaviors and attitudes towards premarital sex among the college students in Guangdong province, China
Jul 3, 2024
PENG, Yangzhi; ZHENG, Yongru, 2024, "Replication Data for: Relation between attitudes towards pornography consumption, peer sexual behaviors and attitudes towards premarital sex among the college students in Guangdong province, China", https://doi.org/10.7910/DVN/VCRXAT, Harvard Dataverse, V1, UNF:6:n2aLt7NRRncKEsTi8DRUqA== [fileUNF]
This file is part of replication data for: "Relation between attitudes towards pornography consumption, peer sexual behaviors and attitudes towards premarital sex among the college students in Guangdong province, China".
Replication Data for: Emotion contagion on social media and simulation of intervention strategies after a disaster event: a modelling study
Jun 25, 2024
Chu, Meijie; Song, Wentao; Zhao, Zeyu; Chen, Tianmu; Chiang, Yi-chen, 2024, "Replication Data for: Emotion contagion on social media and simulation of intervention strategies after a disaster event: a modelling study", https://doi.org/10.7910/DVN/XJWST2, Harvard Dataverse, V1, UNF:6:sNBquaJ3x0AwtlY7Mjx1pQ== [fileUNF]
With the advent of climate change and the 5G era, online community is increasingly becoming the main medium for information dissemination after emergency, such as natural disasters. The widespread dissemination of online negative information may generate cyber violence or lead serious adverse psychological outcome. This study aimed to take a natura...
Guidance experiments on residents’ participation in decision-making activities related to urban settlement regeneration in China
Jun 24, 2024
Zhang, Jiayu, 2024, "Guidance experiments on residents’ participation in decision-making activities related to urban settlement regeneration in China", https://doi.org/10.7910/DVN/KSXDOL, Harvard Dataverse, V1
The data file includes 4 parts. The first one is for initial experiments. The second one is for guidance experiment of enhancing xternal pressure (EP). The third one is for guidance experiment of providing regeneration information (RI). The fourth one is the survey data.
U.S.-China trade conflicts and R&D investment: evidence from the BIS entity lists
Jun 18, 2024
Hu, Han, 2024, "U.S.-China trade conflicts and R&D investment: evidence from the BIS entity lists", https://doi.org/10.7910/DVN/YLR1GM, Harvard Dataverse, V1
Dataset for the manuscript titled “U.S.-China trade conflicts and R&D investment: evidence from the BIS entity lists”
Economic impact of ACES trends on the automotive value chain: a forecast exploratory study of the Chinese automotive industry in 2030
Jun 13, 2024
Chen, Yu, 2024, "Economic impact of ACES trends on the automotive value chain: a forecast exploratory study of the Chinese automotive industry in 2030", https://doi.org/10.7910/DVN/V6JDFA, Harvard Dataverse, V1
the data generated during the analysis
Replication Data for: Analyzing “Jayu” in South Korean presidential rhetoric: A comprehensive study from 1948-2023 with a focus on the Yoon Suk Yeol administration
May 21, 2024
Han, Seungwoo, 2024, "Replication Data for: Analyzing “Jayu” in South Korean presidential rhetoric: A comprehensive study from 1948-2023 with a focus on the Yoon Suk Yeol administration", https://doi.org/10.7910/DVN/4KWUPY, Harvard Dataverse, V1, UNF:6:NW5uP3jFb80rBW/ygNQmGA== [fileUNF]
Python, Stata codes and Data for Replication
Replication Data for: Perpetrators in multimodal media discourse: A case study of personalization in images from The Telegraph
Apr 18, 2024
Shurma, Svitlana, 2024, "Replication Data for: Perpetrators in multimodal media discourse: A case study of personalization in images from The Telegraph", https://doi.org/10.7910/DVN/ZYG95J, Harvard Dataverse, V1
Bibliography of Primary Sources: Downloaded from: https://www.telegraph.co.uk/archive/2010-1.html (from July 2019 to February 2020). Accessed on 8-9 April 2024. The complete datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
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