Metrics
988,642 Downloads
Contact Share

Deposit, archive and share your final research data in DR-NTU (Data)

DR-NTU (Data) is for research data deposit. For research paper deposits, please use DR-NTU.

Mission: DR-NTU (Data) curates, stores, preserves, makes available and enables the download of digital data generated by the NTU research community. The repository develops and provides guidance for managing, sharing, and reusing research data to promote responsible data sharing in support of open science and research integrity.

Who can deposit? NTU faculty, research staff and students.

What can be deposited? Final, non-sensitive research data from projects carried out at NTU. The uploaded content must not infringe upon the copyrights or other intellectual property rights, and must be void of all identifiable information.

How to deposit?

Useful links: FAQs | Collection Guidelines | NTU Research Data Management | General terms of use and Privacy policy

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

71,001 to 71,010 of 73,600 Results
WA_RawData_BIA09PIV.zip
Jul 15, 2019 - Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages
ZIP Archive - 86.7 MB - MD5: fbe51762fc25352dbe98140fe3e57f71
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 participant...
WA_RawData_CAR27DEM.zip
Jul 15, 2019 - Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages
ZIP Archive - 96.0 MB - MD5: 84b863b48ae93f3d41b95b681c8df847
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 participant...
WA_RawData_CAT20WEG.zip
Jul 15, 2019 - Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages
ZIP Archive - 124.7 MB - MD5: 6a2e8b7f34da5d0589de49f1b6d4c8dd
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 participant...
WA_RawData_CHI13FEL.zip
Jul 15, 2019 - Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages
ZIP Archive - 115.9 MB - MD5: f89254baf7f222325188f7426298fb23
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 participant...
WA_RawData_DAN23ZAM.zip
Jul 15, 2019 - Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages
ZIP Archive - 88.5 MB - MD5: 87ddef2d1deb5c3c5279d21b0dc2ce3a
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 participant...
WA_RawData_DAV07ZER.zip
Jul 15, 2019 - Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages
ZIP Archive - 118.0 MB - MD5: bfc40195f22fb3e425e8a5882cbcd7d3
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 participant...
WA_RawData_DAV20GIO.zip
Jul 15, 2019 - Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages
ZIP Archive - 121.7 MB - MD5: 9b9289c61ff44ab91cac3031c7f03038
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 participant...
WA_RawData_DEN15ZOR.zip
Jul 15, 2019 - Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages
ZIP Archive - 106.0 MB - MD5: 46cebea3250497f19fd94457090aed4b
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 participant...
WA_RawData_ELE06FOC.zip
Jul 15, 2019 - Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages
ZIP Archive - 101.7 MB - MD5: 2c48a7a0189d2f0bfaa3f874cb3fd2eb
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 participant...
WA_RawData_ELE08BIA.zip
Jul 15, 2019 - Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages
ZIP Archive - 122.1 MB - MD5: 0d51c8a950a7383c1959f6d236c75b84
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 participant...
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.