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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.

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57,821 to 57,830 of 72,624 Results
Figure4_STDP protocol.docx
Aug 6, 2020 - Replication Data for: Forming-Less Compliance-Free Multi-State Memristors as Synaptic Connections for Brain-Inspired Computing
MS Word - 62.2 KB - MD5: 0fd3aff91cec53fb18d1d16e295f64f7
STDP measurement protocol
Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages
Aug 6, 2020 - Social and Affective Neuroscience
Esposito, Gianluca; Gabrieli, Giulio, 2019, "Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages", https://doi.org/10.21979/N9/YCDXNE, DR-NTU (Data), V2, UNF:6:OXjgBp2o1P5HHQM/zPdxYA== [fileUNF]
The aesthetic appearance of websites can influence the perception of their usability, reliability, and trustworthiness. Several studies investigated the relationship between single aesthetic features and explicit aesthetic judgments, demonstrating the existence of attribution bia...
ElasticNetExplicit.joblib
Aug 6, 2020 - Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages
Unknown - 25.5 KB - MD5: 803759dc074d93ef70466a79e932948c
Models
Trained model
ElasticNetImplicit.joblib
Aug 6, 2020 - Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages
Unknown - 25.6 KB - MD5: dba7459d30a53e3aeb8328ffd12953d3
Models
Trained model
Explicit.py
Aug 6, 2020 - Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages
Python Source Code - 9.1 KB - MD5: 79d24b130293f99dc99feafaf93dfb3b
HPC Script for training and testing of the Lasso and ElasticNet models
Implicit.py
Aug 6, 2020 - Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages
Python Source Code - 9.8 KB - MD5: ffc0bbac9b4fb1aaeb4ed43f5941ce15
HPC Script for training and testing of the Lasso and ElasticNet models
LassoExplicit.joblib
Aug 6, 2020 - Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages
Unknown - 57.7 KB - MD5: bef6c44a914a59cc6469c74ced5384ed
Models
Trained model
LassoImplicit.joblib
Aug 6, 2020 - Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages
Unknown - 464.8 KB - MD5: 2e98a9d030b5d7db1d28af4eca2818b9
Models
Trained model
MLP.joblib
Aug 6, 2020 - Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages
Unknown - 194.6 KB - MD5: b369782cc92471af610bd48601da7998
Models
Trained model
MLP.py
Aug 6, 2020 - Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages
Python Source Code - 9.9 KB - MD5: 43cdc698b89771ab0296381de5633a34
HPC Script for training and testing of the MLP model
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