Metrics
1,067,526 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

1,591 to 1,600 of 2,385 Results
ViSTA Virtual Simulation Results Data Examples
Nov 25, 2021 - ViSTA Results Data
Cherian, Jim, 2021, "ViSTA Virtual Simulation Results Data Examples", https://doi.org/10.21979/N9/HPLB28, DR-NTU (Data), V1, UNF:6:tr7v3W7fuFVR14F0IPtitQ== [fileUNF]
Examples of virtual simulation results data in the ViSTA results format. These examples were generated by CETRAN team using VIRES VTD simulator, after post-processing, based on a simple "obstacle avoidance" scenario and 3 different behaviors of a Vehicle Under Test (VUT) on a vir...
Replication data for: Ghost factors in Gauss sum factorization with transmon qubits
Nov 22, 2021 - Koh Teck Seng
Koh, Teck Seng, 2021, "Replication data for: Ghost factors in Gauss sum factorization with transmon qubits", https://doi.org/10.21979/N9/9KIH0J, DR-NTU (Data), V1, UNF:6:9OyiiLc1iOM/2NSk/i5y/g== [fileUNF]
Data for published figures in paper
Replication Data for: Giant Enhancement of Unconventional Photon Blockade in a Dimer Chain
Nov 20, 2021 - WANG You
Wang, You; Verstraelen, Wouter, 2021, "Replication Data for: Giant Enhancement of Unconventional Photon Blockade in a Dimer Chain", https://doi.org/10.21979/N9/E0MILR, DR-NTU (Data), V1
Data and computer code used to produce the simulation and theory plots in the paper "Giant Enhancement of Unconventional Photon Blockade in a Dimer Chain"
Replication data for: Time-periodic corner states from Floquet higher-order topology
Nov 17, 2021 - ZHANG Baile
Xue, Haoran; Zhang, Baile, 2021, "Replication data for: Time-periodic corner states from Floquet higher-order topology", https://doi.org/10.21979/N9/YBSECE, DR-NTU (Data), V1
Experimental data for the paper "Time-periodic corner states from Floquet higher-order topology".
Working adults’ intentions to participate in microlearning: Assessing for measurement invariance and structural invariance
Working adults’ intentions to participate in microlearning: Assessing for measurement invariance and structural invariance
Nov 16, 2021 - CRADLE - Centre for Research and Development in Learning
Puah, Shermain; Bin Mohmad Khalid, Muhammad Iskandar Shah; Looi, Chee Kit; Khor, Ean Teng, 2021, "Working adults’ intentions to participate in microlearning: Assessing for measurement invariance and structural invariance", https://doi.org/10.21979/N9/NZ8N7M, DR-NTU (Data), V2, UNF:6:qUPyfXjS0D9VcYSbOtGU+Q== [fileUNF]
Data set and R code script for the manuscript titled "Working adults’ intentions to participate in microlearning: Assessing for measurement invariance and structural invariance"
Replication Data for: Reduced Perceived Trustworthiness during face mask-wearing
Replication Data for: Reduced Perceived Trustworthiness during face mask-wearing
Nov 12, 2021 - Social and Affective Neuroscience
Gabrieli, Giulio; Esposito, Gianluca, 2021, "Replication Data for: Reduced Perceived Trustworthiness during face mask-wearing", https://doi.org/10.21979/N9/KOAPLW, DR-NTU (Data), V2
To curb the diffusion of the novel coronavirus (SARS-CoV-2) governments worldwide have introduced different policies, including lockdowns, social distancing, and mandatory mask-wearing. Face-mask wearing especially has an impact on the formation of first impressions, given that w...
VBM preprocessed Files
Nov 8, 2021 - The Brain Mechanisms Behind Multiculturalism in Singapore: A Neuroscience Multilevel Approach to study In-group and Out-group Dynamics
Lakshmi, Bindiya; Tolomeo, Serenella; Gabrieli, Giulio; Esposito, Gianluca, 2021, "VBM preprocessed Files", https://doi.org/10.21979/N9/6QVJ9Q, DR-NTU (Data), V1
VBM preprocessed Files
Incorporating Calligraphic Simplification in 3D Animation Space - A Chinese Calligraphic Concept for 3D Compositional Dynamics
Nov 2, 2021 - NG Woon Lam
Ng, Woon Lam, 2021, "Incorporating Calligraphic Simplification in 3D Animation Space - A Chinese Calligraphic Concept for 3D Compositional Dynamics", https://doi.org/10.21979/N9/8IU0RH, DR-NTU (Data), V1
1. Maya Demo files of 3D brushwork in space 2. Python source codes of the user interface to apply the Maya demo files 3. User Manual
Replication Data for: Molecular design of two-dimensional perovskite cations for efficient energy cascade in perovskite light-emitting diodes
Oct 31, 2021 - Nur Fadilah Jamaludin
Jamaludin, Nur Fadilah, 2021, "Replication Data for: Molecular design of two-dimensional perovskite cations for efficient energy cascade in perovskite light-emitting diodes", https://doi.org/10.21979/N9/WDDLG0, DR-NTU (Data), V1
Despite extensive reports on highly efficient perovskite light-emitting diodes, rules governing the design of suitable two-dimensional (2D) perovskite templating cation to facilitate formation of optimal emitter landscape for energy cascade remain largely elusive. With factors su...
Replication Data for: Remotely assessing tephra fall building damage and vulnerability: Kelud Volcano, Indonesia
Oct 27, 2021 - Williams George Thomas
Williams George Thomas, 2021, "Replication Data for: Remotely assessing tephra fall building damage and vulnerability: Kelud Volcano, Indonesia", https://doi.org/10.21979/N9/KNLMBU, DR-NTU (Data), V1, UNF:6:fUcrc7ABKdwoOvCL+49q+Q== [fileUNF]
R Markdown file and raw data used to produce vulnerability models within the paper: Remotely assessing tephra fall building damage and vulnerability: Kelud Volcano, Indonesia
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.