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Publication Year: 2021

91 to 100 of 325,918 Results

CAQ.tab Mar 19, 2025 - Reproducibility Data for: Creative Achievement and Individual Differences Tabular Data - 2.9 MB - 141 Variables, 5651 Observations - UNF:6:/UjoCIdqpUUlMh7hnkGMQQ== Creative Achievement Questionnaire data to be linked to the SAPA data csv object.
CAQTAIE.rdata Mar 19, 2025 - Reproducibility Data for: Creative Achievement and Individual Differences R Data - 12.5 MB - MD5: 9340c2d441dc6bc078e78ba48a3b7733 This rdata file includes the contents of the two csv files as separate objects.
sapaData20may2013thru10jun2014.tab Mar 19, 2025 - Reproducibility Data for: Creative Achievement and Individual Differences Tabular Data - 53.9 MB - 773 Variables, 63486 Observations - UNF:6:+IwQPoStSflan5QFxE84rw== SAPA psychological individual differences data to be linked to the CAQ data csv object. Or both objects can be downloaded simultaneously in the rdata format.
Inter-American Court of Human Rights: Reparations Dataset Jan 16, 2025 - Reparations Design and Compliance Lab Perez-Linan, Anibal; De Valenzuela, Lia; Lugg, Emily; Olavarrieta Trejo, Ana; Smith, Shea, 2021, "Inter-American Court of Human Rights: Reparations Dataset", https://doi.org/10.7910/DVN/GQ1CAG, Harvard Dataverse, V5 The dataset contains information on 355 cases decided by the Inter-American Court of Human Rights between 1989 and 2023. The units of analysis in the dataset are individual reparation measures ordered by the Court (N = 2,564). The file contains information on the case, the type of reparation measure, and the date of compliance with the order. Resea...
Codebook (version 20250116) Jan 16, 2025 - Inter-American Court of Human Rights: Reparations Dataset Adobe PDF - 237.5 KB - MD5: f0590cb8d6612ce084a50a0cb7214ddd Codebook
Reparations (version 20250116) Jan 16, 2025 - Inter-American Court of Human Rights: Reparations Dataset MS Excel Spreadsheet - 339.2 KB - MD5: 70523ec9c4ebb37aa28cf7167e8ce1cb Reparations ordered through 2023
Robust and Test accuracy of the IFA pipeline and the frequencies related Jan 14, 2025 - Jun-Jie Zhang Dataverse Zhang, Jun-Jie; Zhang, Dong-Xiao; Chen, Jian-Nan; Pang, Long-Gang; Deyu Meng, 2021, "Robust and Test accuracy of the IFA pipeline and the frequencies related", https://doi.org/10.7910/DVN/FKFJZQ, Harvard Dataverse, V5 The files contains the data for the plot in the plot.nb file. Six figures are generated from these data. Two figures are about the test and robust accuracy of the neural networks. Two figures are about the relation between the frequency and the accuracy of the training set. One figure is about the relation between frequency and test accuracy. One f...
binary classificatin.rar Jan 14, 2025 - Robust and Test accuracy of the IFA pipeline and the frequencies related Compressed Archive - 6.4 MB - MD5: 55b64e0b94573dbd4d3e475a057bb97d
cifar classification.rar Jan 14, 2025 - Robust and Test accuracy of the IFA pipeline and the frequencies related Compressed Archive - 2.8 MB - MD5: d9828cc4826af1d5980c6dfc0ef11d2e
input and grad corelation.rar Jan 14, 2025 - Robust and Test accuracy of the IFA pipeline and the frequencies related Compressed Archive - 3.6 MB - MD5: e08343d3996231df92c5bc0c2b468510

CAQ.tab

Mar 19, 2025 - Reproducibility Data for: Creative Achievement and Individual Differences

Tabular Data - 2.9 MB - 141 Variables, 5651 Observations -

Creative Achievement Questionnaire data to be linked to the SAPA data csv object.

CAQTAIE.rdata

Mar 19, 2025 - Reproducibility Data for: Creative Achievement and Individual Differences

R Data - 12.5 MB -

This rdata file includes the contents of the two csv files as separate objects.

sapaData20may2013thru10jun2014.tab

Mar 19, 2025 - Reproducibility Data for: Creative Achievement and Individual Differences

Tabular Data - 53.9 MB - 773 Variables, 63486 Observations -

SAPA psychological individual differences data to be linked to the CAQ data csv object. Or both objects can be downloaded simultaneously in the rdata format.

Inter-American Court of Human Rights: Reparations Dataset

Jan 16, 2025 - Reparations Design and Compliance Lab

Perez-Linan, Anibal; De Valenzuela, Lia; Lugg, Emily; Olavarrieta Trejo, Ana; Smith, Shea, 2021, "Inter-American Court of Human Rights: Reparations Dataset", https://doi.org/10.7910/DVN/GQ1CAG, Harvard Dataverse, V5

The dataset contains information on 355 cases decided by the Inter-American Court of Human Rights between 1989 and 2023. The units of analysis in the dataset are individual reparation measures ordered by the Court (N = 2,564). The file contains information on the case, the type of reparation measure, and the date of compliance with the order. Resea...

Codebook (version 20250116)

Jan 16, 2025 - Inter-American Court of Human Rights: Reparations Dataset

Adobe PDF - 237.5 KB -

Codebook

Reparations (version 20250116)

Jan 16, 2025 - Inter-American Court of Human Rights: Reparations Dataset

MS Excel Spreadsheet - 339.2 KB -

Reparations ordered through 2023

Robust and Test accuracy of the IFA pipeline and the frequencies related

Jan 14, 2025 - Jun-Jie Zhang Dataverse

Zhang, Jun-Jie; Zhang, Dong-Xiao; Chen, Jian-Nan; Pang, Long-Gang; Deyu Meng, 2021, "Robust and Test accuracy of the IFA pipeline and the frequencies related", https://doi.org/10.7910/DVN/FKFJZQ, Harvard Dataverse, V5

The files contains the data for the plot in the plot.nb file. Six figures are generated from these data. Two figures are about the test and robust accuracy of the neural networks. Two figures are about the relation between the frequency and the accuracy of the training set. One figure is about the relation between frequency and test accuracy. One f...

binary classificatin.rar

Jan 14, 2025 - Robust and Test accuracy of the IFA pipeline and the frequencies related

Compressed Archive - 6.4 MB -

cifar classification.rar

Jan 14, 2025 - Robust and Test accuracy of the IFA pipeline and the frequencies related

Compressed Archive - 2.8 MB -

input and grad corelation.rar

Jan 14, 2025 - Robust and Test accuracy of the IFA pipeline and the frequencies related

Compressed Archive - 3.6 MB -

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