3,001 to 3,010 of 7,280 Results
Nov 13, 2023 -
Data for: "The authors” make me think equally of women and men: Exploring mixed-gender representations in a visual categorization task
R Notebook - 33.6 KB -
MD5: 20c2a093ebc8b0185fea716ea1019d27
R code for Experiment 1 that is set up to allow those accessing this dataset to easily examine how analysis was done. |
Nov 13, 2023 -
Data for: "The authors” make me think equally of women and men: Exploring mixed-gender representations in a visual categorization task
Plain Text - 758.4 KB -
MD5: 136b27d030ab6472dad6acb11830d24b
Raw data for Experiment 1 |
Nov 13, 2023 -
Data for: "The authors” make me think equally of women and men: Exploring mixed-gender representations in a visual categorization task
R Notebook - 28.9 KB -
MD5: 31d22c3d3aeba019c86b8f6214dc06db
R code for Experiment 2 that is set up to allow those accessing this dataset to easily examine how analysis was done. |
Nov 13, 2023 -
Data for: "The authors” make me think equally of women and men: Exploring mixed-gender representations in a visual categorization task
Plain Text - 1.9 MB -
MD5: 07676491212ce2c5d60ab4eca1343b42
Raw data for Experiment 2 |
Nov 13, 2023 -
Data for: "The authors” make me think equally of women and men: Exploring mixed-gender representations in a visual categorization task
Comma Separated Values - 499 B -
MD5: 28a14d2014823e4140606acb13063c7c
Inter-rater raw scores for Experiment 2 |
Nov 13, 2023 -
Data for: "The authors” make me think equally of women and men: Exploring mixed-gender representations in a visual categorization task
Plain Text - 33.6 KB -
MD5: 20c2a093ebc8b0185fea716ea1019d27
.txt file containing the R code for Experiment 1 |
Nov 13, 2023 -
Data for: "The authors” make me think equally of women and men: Exploring mixed-gender representations in a visual categorization task
Plain Text - 28.9 KB -
MD5: 31d22c3d3aeba019c86b8f6214dc06db
.txt file containing the R code for Experiment 2 |
Oct 27, 2023
Olaisen, Sindre, 2023, "Measurement data for: "Automatic measurements of left ventricular volumes and ejection fraction by artificial intelligence: Clinical validation in real-time and large databases"", https://doi.org/10.18710/ZDSD2H, DataverseNO, V1
Time and measurement data for echocardiographic parameters as measured by a novel AI-based software and by standard clinical reference methods. |
Plain Text - 6.4 KB -
MD5: 7f08fe7785109bff9a6a2505a1b8540b
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Comma Separated Values - 264.2 KB -
MD5: ffb8b449faa19417f8166b52d8038c83
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