130,941 to 130,950 of 135,604 Results
Oct 17, 2019 -
Replication Data for: The reassigned pseudo Wigner–Ville transform in electrochemical noise analysis
Plain Text - 704.8 KB -
MD5: dd0fe04e1b00758ddb2d6c8c6713fe9d
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Oct 17, 2019 -
Replication Data for: The reassigned pseudo Wigner–Ville transform in electrochemical noise analysis
MATLAB Source Code - 966 B -
MD5: 4b39bbad76a1d0fe938183c9916f99f3
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Oct 17, 2019 -
Replication Data for: The reassigned pseudo Wigner–Ville transform in electrochemical noise analysis
MATLAB Source Code - 759 B -
MD5: b14651c415cc6c7eda5b847c916dc6bf
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Oct 17, 2019 -
Replication Data for: The reassigned pseudo Wigner–Ville transform in electrochemical noise analysis
Plain Text - 327 B -
MD5: fc60c177754c88048fd646d370746872
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Oct 11, 2019
Kjeksrud, Stian, 2019, "Replication Data for: Using force to protect civilians", https://doi.org/10.18710/FZAVCN, DataverseNO, V1
The dataset deposited here underpins a PhD thesis sucessfully defended by Stian Kjeksrud on June 6, 2019, at the University of Oslo, Faculty of Social Sciences, Department of Political Science. This dataset consists of two data files, each in its original excel-file format as well as in a Unicode-text format: 1. UN_POC_Operations_UNPOCO_2019-01-25... |
Oct 11, 2019 -
Replication Data for: Using force to protect civilians
Adobe PDF - 126.9 KB -
MD5: 705f2152958b373d61850d2a319dbc4d
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Oct 11, 2019 -
Replication Data for: Using force to protect civilians
Plain Text - 297.8 KB -
MD5: e2f81f7c47fc6dcbd01b21407f9b5a2e
The UNPOCO dataset in Unicode format |
Oct 11, 2019 -
Replication Data for: Using force to protect civilians
MS Excel Spreadsheet - 166.4 KB -
MD5: 6714503393130ca9e05301f00faeb74d
The UNPOCO dataset in its original excel format |
Oct 11, 2019 -
Replication Data for: Using force to protect civilians
Plain Text - 222.2 KB -
MD5: db65cc3246864de2b8bccb391eca3324
The UNPOCO fsQCA dataset in Unicode format |
Oct 11, 2019 -
Replication Data for: Using force to protect civilians
MS Excel Spreadsheet - 130.8 KB -
MD5: 4f71fbfaa4b444cd3924a2c24224411f
The UNPOCO fsQCA dataset in its original excel format |
