A newer version of this dataset is available. View the latest version.
Version DOI Comment Publication Date
2 10.13012/B2IDB-4614455_V2 Added the file "article_list.csv" 2022-12-22
1 10.13012/B2IDB-4614455_V1 2022-11-18
23.2 KB File
12.5 KB File
360 KB File
34.8 KB File
8.84 KB File
391 KB File

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update: {"description"=>["The relationship between physical activity and mental health, especially depression, is one of the most studied topics in the field of exercise science and kinesiology. Although there is strong consensus that regular physical activity improves mental health and reduces depressive symptoms, some debate the mechanisms involved in this relationship as well as the limitations and definitions used in such studies. Meta-analyses and systematic reviews continue to examine the strength of the association between physical activity and depressive symptoms for the purpose of improving exercise prescription as treatment or combined treatment for depression. This dataset covers 27 review articles (either systematic review, meta-analysis, or both) and 364 primary study articles addressing the relationship between physical activity and depressive symptoms. Primary study articles are manually extracted from the review articles. We used a custom-made workflow (Fu, Yuanxi. (2022). Scopus author info tool (1.0.1) [Python]. <a href=\"https://github.com/infoqualitylab/Scopus_author_info_collection\">https://github.com/infoqualitylab/Scopus_author_info_collection</a> that uses the Scopus API and manual work to extract and disambiguate authorship information for the 391 reports. The author information file (author_list.csv) is the product of this workflow and can be used to compute the co-author network of the 392 articles.\r\n\r\nThis dataset can be used to construct the inclusion network and the co-author network of the 27 review articles and 365 primary study articles. A primary study article is \"included\" in a review article if it is considered in the review article's evidence synthesis. Each included primary study article is cited in the review article, but not all references cited in a review article are included in the evidence synthesis or primary study articles. The inclusion network is a bipartite network with two types of nodes: one type represents review articles, and the other represents primary study articles. In an inclusion network, if a review article includes a primary study article, there is a directed edge from the review article node to the primary study article node. The attribute file (article_list.csv) includes attributes of the 391 articles, and the edge list file (inclusion_net_edges.csv) contains the edge list of the inclusion network.\r\nCollectively, this dataset reflects the evidence production and use patterns within the exercise science and kinesiology scientific community, investigating the relationship between physical activity and depressive symptoms.\r\n\r\nFILE FORMATS\r\n1.\tarticle_list.csv - Unicode CSV\r\n2.\tauthor_list.csv - Unicode CSV\r\n3.\tChinese_author_name_reference.csv - Unicode CSV\r\n4.\tinclusion_net_edges.csv - Unicode CSV\r\n5.\treview_article_details.csv - Unicode CSV\r\n6.\tsupplementary_reference_list.pdf - PDF\r\n7. README.txt - text file\r\n", "The relationship between physical activity and mental health, especially depression, is one of the most studied topics in the field of exercise science and kinesiology. Although there is strong consensus that regular physical activity improves mental health and reduces depressive symptoms, some debate the mechanisms involved in this relationship as well as the limitations and definitions used in such studies. Meta-analyses and systematic reviews continue to examine the strength of the association between physical activity and depressive symptoms for the purpose of improving exercise prescription as treatment or combined treatment for depression. This dataset covers 27 review articles (either systematic review, meta-analysis, or both) and 364 primary study articles addressing the relationship between physical activity and depressive symptoms. Primary study articles are manually extracted from the review articles. We used a custom-made workflow (Fu, Yuanxi. (2022). Scopus author info tool (1.0.1) [Python]. <a href=\"https://github.com/infoqualitylab/Scopus_author_info_collection\">https://github.com/infoqualitylab/Scopus_author_info_collection</a> that uses the Scopus API and manual work to extract and disambiguate authorship information for the 392 reports. The author information file (author_list.csv) is the product of this workflow and can be used to compute the co-author network of the 392 articles.\r\n\r\nThis dataset can be used to construct the inclusion network and the co-author network of the 27 review articles and 365 primary study articles. A primary study article is \"included\" in a review article if it is considered in the review article's evidence synthesis. Each included primary study article is cited in the review article, but not all references cited in a review article are included in the evidence synthesis or primary study articles. The inclusion network is a bipartite network with two types of nodes: one type represents review articles, and the other represents primary study articles. In an inclusion network, if a review article includes a primary study article, there is a directed edge from the review article node to the primary study article node. The attribute file (article_list.csv) includes attributes of the 391 articles, and the edge list file (inclusion_net_edges.csv) contains the edge list of the inclusion network.\r\nCollectively, this dataset reflects the evidence production and use patterns within the exercise science and kinesiology scientific community, investigating the relationship between physical activity and depressive symptoms.\r\n\r\nFILE FORMATS\r\n1.\tarticle_list.csv - Unicode CSV\r\n2.\tauthor_list.csv - Unicode CSV\r\n3.\tChinese_author_name_reference.csv - Unicode CSV\r\n4.\tinclusion_net_edges.csv - Unicode CSV\r\n5.\treview_article_details.csv - Unicode CSV\r\n6.\tsupplementary_reference_list.pdf - PDF\r\n7. README.txt - text file\r\n"]} 2022-12-11T13:57:14Z
update: {"description"=>["The relationship between physical activity and mental health, especially depression, is one of the most studied topics in the field of exercise science and kinesiology. Although there is strong consensus that regular physical activity improves mental health and reduces depressive symptoms, some debate the mechanisms involved in this relationship as well as the limitations and definitions used in such studies. Meta-analyses and systematic reviews continue to examine the strength of the association between physical activity and depressive symptoms for the purpose of improving exercise prescription as treatment or combined treatment for depression. This dataset covers 27 review articles (either systematic review, meta-analysis, or both) and 364 primary study articles addressing the relationship between physical activity and depressive symptoms. Primary study articles are manually extracted from the review articles. We used a custom-made workflow (Fu, Yuanxi. (2022). Scopus author info tool (1.0.1) [Python]. <a href=\"https://github.com/infoqualitylab/Scopus_author_info_collection\">https://github.com/infoqualitylab/Scopus_author_info_collection</a> that uses the Scopus API and manual work to extract and disambiguate authorship information for the 391 reports. The author information file (author_list.csv) is the product of this workflow and can be used to compute the co-author network of the 391 articles.\r\n\r\nThis dataset can be used to construct the inclusion network and the co-author network of the 27 review articles and 364 primary study articles. A primary study article is \"included\" in a review article if it is considered in the review article's evidence synthesis. Each included primary study article is cited in the review article, but not all references cited in a review article are included in the evidence synthesis or primary study articles. The inclusion network is a bipartite network with two types of nodes: one type represents review articles, and the other represents primary study articles. In an inclusion network, if a review article includes a primary study article, there is a directed edge from the review article node to the primary study article node. The attribute file (article_list.csv) includes attributes of the 391 articles, and the edge list file (inclusion_net_edges.csv) contains the edge list of the inclusion network.\r\nCollectively, this dataset reflects the evidence production and use patterns within the exercise science and kinesiology scientific community, investigating the relationship between physical activity and depressive symptoms.\r\n\r\nFILE FORMATS\r\n1.\tarticle_list.csv - Unicode CSV\r\n2.\tauthor_list.csv - Unicode CSV\r\n3.\tChinese_author_name_reference.csv - Unicode CSV\r\n4.\tinclusion_net_edges.csv - Unicode CSV\r\n5.\treview_article_details.csv - Unicode CSV\r\n6.\tsupplementary_reference_list.pdf - PDF\r\n", "The relationship between physical activity and mental health, especially depression, is one of the most studied topics in the field of exercise science and kinesiology. Although there is strong consensus that regular physical activity improves mental health and reduces depressive symptoms, some debate the mechanisms involved in this relationship as well as the limitations and definitions used in such studies. Meta-analyses and systematic reviews continue to examine the strength of the association between physical activity and depressive symptoms for the purpose of improving exercise prescription as treatment or combined treatment for depression. This dataset covers 27 review articles (either systematic review, meta-analysis, or both) and 364 primary study articles addressing the relationship between physical activity and depressive symptoms. Primary study articles are manually extracted from the review articles. We used a custom-made workflow (Fu, Yuanxi. (2022). Scopus author info tool (1.0.1) [Python]. <a href=\"https://github.com/infoqualitylab/Scopus_author_info_collection\">https://github.com/infoqualitylab/Scopus_author_info_collection</a> that uses the Scopus API and manual work to extract and disambiguate authorship information for the 391 reports. The author information file (author_list.csv) is the product of this workflow and can be used to compute the co-author network of the 392 articles.\r\n\r\nThis dataset can be used to construct the inclusion network and the co-author network of the 27 review articles and 365 primary study articles. A primary study article is \"included\" in a review article if it is considered in the review article's evidence synthesis. Each included primary study article is cited in the review article, but not all references cited in a review article are included in the evidence synthesis or primary study articles. The inclusion network is a bipartite network with two types of nodes: one type represents review articles, and the other represents primary study articles. In an inclusion network, if a review article includes a primary study article, there is a directed edge from the review article node to the primary study article node. The attribute file (article_list.csv) includes attributes of the 391 articles, and the edge list file (inclusion_net_edges.csv) contains the edge list of the inclusion network.\r\nCollectively, this dataset reflects the evidence production and use patterns within the exercise science and kinesiology scientific community, investigating the relationship between physical activity and depressive symptoms.\r\n\r\nFILE FORMATS\r\n1.\tarticle_list.csv - Unicode CSV\r\n2.\tauthor_list.csv - Unicode CSV\r\n3.\tChinese_author_name_reference.csv - Unicode CSV\r\n4.\tinclusion_net_edges.csv - Unicode CSV\r\n5.\treview_article_details.csv - Unicode CSV\r\n6.\tsupplementary_reference_list.pdf - PDF\r\n7. README.txt - text file\r\n"]} 2022-12-09T01:47:57Z