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41 to 50 of 116 Results
Mechanical ambiguity analysis.do
Aug 31, 2015 - A Test of Mechanical Ambiguity [Dataset]
Stata Syntax - 2.4 KB - MD5: 2cdcf679f98f9e86e92f7ef049ba6a69
Stata
mechanical ambiguity data2.tab
Aug 31, 2015 - A Test of Mechanical Ambiguity [Dataset]
Tabular Data - 11.7 KB - 20 Variables, 237 Observations - UNF:5:0TQJ35gJjj9nUWl9FiZstA==
Data
Stata format
mechanical ambiguity data2.xlsx
Aug 31, 2015 - A Test of Mechanical Ambiguity [Dataset]
Unknown - 20.9 KB - MD5: 3c701a64b1085182f33d99f74109670a
Data
OpenXML - Spreadsheet format
VariableGen.do
Aug 31, 2015 - A Test of Mechanical Ambiguity [Dataset]
Stata Syntax - 1.5 KB - MD5: a62a3b22ec8228babb77947e4b256306
Stata
A Quantitative Approach to Beauty [Dataset]
A Quantitative Approach to Beauty [Dataset]
Jun 26, 2015 - DAH - International Journal for Digital Art History
De la Rosa, Javier; Suárez, Juan-Luis, 2015, "A Quantitative Approach to Beauty [Dataset]", https://doi.org/10.11588/data/10057, heiDATA, V1
The purpose of the the data collection was to determine the shape of the change in beauty in depicted faces over time. The dataset is comprised by almost 120,000 paintings from different times and styles.
authors.xlsx
Jun 26, 2015 - A Quantitative Approach to Beauty [Dataset]
Unknown - 13.7 KB - MD5: b1b504d46da4b69967c07ae912c63296
Data
Authors
faces.xlsx
Jun 26, 2015 - A Quantitative Approach to Beauty [Dataset]
Unknown - 4.9 MB - MD5: ba748b752c49db89e6ae32147b9d014a
Data
Faces
LongTermPreservation.xlsx
Jun 26, 2015 - A Quantitative Approach to Beauty [Dataset]
Unknown - 2.9 MB - MD5: 83f5504482f4db603b1dee94ee3569b4
zzz_Long Term Preservation
paintings.xlsx
Jun 26, 2015 - A Quantitative Approach to Beauty [Dataset]
Unknown - 1.8 MB - MD5: beb3711a7066b94242236a482dbff804
Data
Paintings
supplementary_material.pdf
supplementary_material.pdf
Jun 26, 2015 - A Quantitative Approach to Beauty [Dataset]
Adobe PDF - 1006.6 KB - MD5: a2a058ab87a6892dab57bf978fe3df79
Supplementary material
Supplementary material
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