3,881 to 3,890 of 4,156 Results
Jul 15, 2019 -
Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages
ZIP Archive - 95.9 MB -
MD5: d22e1ea3baefe80bb8b642ff9f037d4d
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' e... |
Jul 15, 2019 -
Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages
ZIP Archive - 37.8 MB -
MD5: cf4d6989c85c56a40277d619d7a1b6b3
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' e... |
Jul 15, 2019 -
Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages
ZIP Archive - 119.1 MB -
MD5: b63ebd0ddddda9037d0b1a50930d9128
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' e... |
Jul 15, 2019 -
Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages
ZIP Archive - 117.3 MB -
MD5: c4bb4a757bd505af3b8e5ac0b6746825
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' e... |
Jul 15, 2019 -
Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages
ZIP Archive - 3.5 MB -
MD5: ea0088907e75c18ef6cf6cf0f49b7d65
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' e... |
Jul 15, 2019 -
Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages
ZIP Archive - 106.2 MB -
MD5: 81a3695764f14fc4bb1e220be1292fe2
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' e... |
Jul 15, 2019 -
Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages
ZIP Archive - 22.9 MB -
MD5: 0576d2c7fdd16f2301afda03419205f0
Each zip contains 14 files, where ID is the ID of the participants and blk is the experimental block (1 or 2). 1) ID_rating_blk.csv - This file contains participants' ratings for presented pictures, for a specific block. 2) ID_gazedata_blk.csv - This file contains participants' e... |
May 14, 2019 -
Preregistration Documents: Crossmodal influences between size and pitch in book reading for children In Singapore English
Adobe PDF - 147.7 KB -
MD5: 1424b8ab1a7767cb584a8a749089216a
Koh, Kovic & Styles 2019. Preregistration for
crossmodal influences between size and pitch in book reading for children in Singapore. CC-BY |
Apr 11, 2019 -
Related data for: Emotional Tears Communicate Sadness But Not Excessive Emotions Without Contextual Knowledge
MS Word - 15.2 KB -
MD5: 62b6a83b377676b1906e79a54e0ff3e1
Notes about the labelling of the variables in the dataset "Tears Intensity_Compete (n=98).sav" |
Apr 10, 2019 -
Related data for: Emotional Tears Communicate Sadness But Not Excessive Emotions Without Contextual Knowledge
Tabular Data - 102.8 KB - 185 Variables, 98 Observations - UNF:6:RPd8OH9yPj7QfnNWNF2KEA==
Dataset for the presence of tears on intensity ratings of emotions |
