135,941 to 135,950 of 140,751 Results
Oct 25, 2019 -
Water sources in the Syrian Desert
Adobe PDF - 4.4 MB -
MD5: d9ef27514385e301d899daca1b425770
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Oct 17, 2019 - NTNU – Norwegian University of Science and Technology
Jevremovic, Ivana; Erbe, Andreas, 2019, "Replication Data for: The reassigned pseudo Wigner–Ville transform in electrochemical noise analysis", https://doi.org/10.18710/LUISQN, DataverseNO, V1
The contents here include data and analysis scripts in MATLAB used to produce the figures of the the article: Jevremovic, I., & Erbe, A. (2019). The reassigned pseudo Wigner–Ville transform in electrochemical noise analysis. Physical Chemistry Chemical Physics, 21(44), 24361–24372. https://doi.org/10.1039/C9CP04769G |
Oct 17, 2019 -
Replication Data for: The reassigned pseudo Wigner–Ville transform in electrochemical noise analysis
Plain Text - 1.7 KB -
MD5: 932f262ab05941755ebeb1fae90ac6ea
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Oct 17, 2019 -
Replication Data for: The reassigned pseudo Wigner–Ville transform in electrochemical noise analysis
Plain Text - 236.0 KB -
MD5: 0099eff89f3000cc29ef1ba014e856da
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Oct 17, 2019 -
Replication Data for: The reassigned pseudo Wigner–Ville transform in electrochemical noise analysis
Plain Text - 236.0 KB -
MD5: aaf7adf665bed85abc88c7625ed9a02a
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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... |
