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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631 to 640 of 640 Results
data.xlsx
Sep 22, 2015 - Fluctuation patterns of financial multi–time series.
MS Excel Spreadsheet - 142.6 KB - MD5: ae2cc529f9dc43673521e0d427e8a0e6
Replication Data for: "Competitive dynamics between criminals and law enforcement explains the super-linear scaling of crime in cities"
Sep 15, 2015
Banerjee, Soumya; Van Hentenryck, Pascal; Cebrian, Manuel, 2015, "Replication Data for: "Competitive dynamics between criminals and law enforcement explains the super-linear scaling of crime in cities"", https://doi.org/10.7910/DVN/ELSYXO, Harvard Dataverse, V1
This submission has replication data for "Competitive dynamics between criminals and law enforcement explains the super-linear scaling of crime in cities". Has data from the UCI machine learning repository Communities and Crime Data Set - http://archive.ics.uci.edu/ml/datasets/Communities+and+Crime 1) filename: communities.data (actual data) 2) fil...
communities.data
Sep 15, 2015 - Replication Data for: "Competitive dynamics between criminals and law enforcement explains the super-linear scaling of crime in cities"
Plain Text - 1.1 MB - MD5: ce564679a46f4313b9e8d17e1dad0ceb
Data from UCI machine learning repository (crime data)
communities.names
Sep 15, 2015 - Replication Data for: "Competitive dynamics between criminals and law enforcement explains the super-linear scaling of crime in cities"
Plain Text - 26.5 KB - MD5: 2169c8c99098943e7b9404ee97e62eba
Metadata for UCI machine learning repository (crime data)
Table_79_Full-time_Law_Enforcement_Employees_by_State_by_University_and_College_2011.xls
Sep 15, 2015 - Replication Data for: "Competitive dynamics between criminals and law enforcement explains the super-linear scaling of crime in cities"
MS Excel Spreadsheet - 110.0 KB - MD5: eb4f555d5a24a0018d0cc5a397ff7f99
Data from FBI Uniform Crime Reports (law enforcement numbers)
Table_9_Offenses_Known_to_Law_Enforcement_by_State_University_and_College_2011.xls
Sep 15, 2015 - Replication Data for: "Competitive dynamics between criminals and law enforcement explains the super-linear scaling of crime in cities"
MS Excel Spreadsheet - 138.0 KB - MD5: 3848f847adc9332756ade943c886fec5
Data from FBI Uniform Crime Reports (crime in universities)
Replication Data for: Quantifying urban economic resilience through labour force interdependence
May 18, 2015
Shutters, Shade; Muneepeerakul, Rachata; Lobo, Jose, 2015, "Replication Data for: Quantifying urban economic resilience through labour force interdependence", https://doi.org/10.7910/DVN/HEWGDD, Harvard Dataverse, V1, UNF:6:PPcwuP1u8FsL/puE30jOyA== [fileUNF]
Data analyzed in the Palgrave Communications article, "Quantifying urban economic resilience through labour force interdependence"
Replication Data for Quantifying urban economic resilience.xls
May 18, 2015 - Replication Data for: Quantifying urban economic resilience through labour force interdependence
MS Excel Spreadsheet - 11.9 MB - MD5: 08958cca8a8ff8be154adab9959cd6ff
Palgrave Communications' editorial board data sharing survey - raw data
May 18, 2015
Palgrave, 2015, "Palgrave Communications' editorial board data sharing survey - raw data", https://doi.org/10.7910/DVN/JVZHFG, Harvard Dataverse, V1
Raw data from editorial board member survey.
Palgrave Communications - data sharing survey.xls
May 18, 2015 - Palgrave Communications' editorial board data sharing survey - raw data
MS Excel Spreadsheet - 59.5 KB - MD5: b7fc8249e8261cc6ba96a49b4366b28e
Raw data from a consultation carried out with the Palgrave Communications editorial board, which comprises experts from the full spectrum of the humanities, social sciences and business communities. All participants were asked a range of questions regarding their own data sharing practices and preferences.
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