Metrics
1,361,605 Downloads

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 or linked 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

461 to 470 of 2,486 Results
May 12, 2026 - CHEN Shen-Hsing Annabel
Aw, Jian Xin Timothy; Chan, Christo Cross; Chai, Mayanee; Chen, S. H. Annabel, 2026, "Dataset for: A Meta-analysis on the Prevalence of Lifetime Psychiatric Morbidity Among Transgender Individuals", https://doi.org/10.21979/N9/OSMJO2, DR-NTU (Data), V1, UNF:6:+rcm0DrfJd9DPpMuA2H1cQ== [fileUNF]
Dataset used for meta-analysis of prevalence studies of psychiatric morbidity in the transgender population
May 10, 2026 - ZHANG Wei
Zhang, Wei, 2025, "Video stimuli for: Adult-to-infant unidirectional neural coupling mediates selective social learning in infants from the UK and Singapore", https://doi.org/10.21979/N9/NJ1KJA, DR-NTU (Data), V5
See readme for experiment video.pdf for description
May 9, 2026 - TONG Ping
Tong, Ping, 2026, "Replication Data for: Lithosphere-asthenosphere interactions across the Indo-Burma subduction zone from Sp receiver functions", https://doi.org/10.21979/N9/Z7VCK6, DR-NTU (Data), V1
Seismic Waveforms Recorded in Myanmar
May 4, 2026 - TAN Li Yi
Tan, Li Yi, 2026, "Replication Data for: An Investigation into the Occupational Safety of Using Fe3O4 Silica-Coated Magnetic Particles for Fingerprint Dusting", https://doi.org/10.21979/N9/0EBMNO, DR-NTU (Data), V1, UNF:6:BFfoThAzHZSoffSc35HA7Q== [fileUNF]
Replication Data for: An Investigation into the Occupational Safety of Using Fe3O4 Silica-Coated Magnetic Particles for Fingerprint Dusting
Apr 30, 2026 - Bent WEBER
Huang, Zihao; Weber, Bent, 2026, "Final Data for: Controlling an altermagnetic spin density wave in the kagome magnet CsCr3Sb5", https://doi.org/10.21979/N9/JBLUVG, DR-NTU (Data), V2
This file contains all source data in main text
Apr 29, 2026 - Mengda REN
Lo, Chih Hung; Ren, Mengda; Loi, Gavin Wen Zhao; Saipuljumri, Eka Norfaishanty; Indajang, Jonathan; Lim, Kah Leong; Zeng, Jialiu, 2026, "Replication Data for: Lysosome-Acidifying Nanoparticles Rescue A30P α-Synuclein Induced Neuronal Death in Cellular and Drosophila Models of Parkinson's Disease", https://doi.org/10.21979/N9/SBCIPP, DR-NTU (Data), V1, UNF:6:LEO4c+Jaez4Egr2Ht866VQ== [fileUNF]
Source data for Lo, C. H., et al. (2026). "Lysosome-Acidifying Nanoparticles Rescue A30P α-Synuclein Induced Neuronal Death in Cellular and Drosophila Models of Parkinson's Disease." Advanced Healthcare Materials n/a(n/a): e02906. https://doi.org/10.1002/adhm.202502906
Apr 28, 2026 - S-Lab for Advanced Intelligence
Xu, Yuanmu; Hou, Guanli; Hu, Jiangbei; Ren, Tenglong; Wang, Xiaokun; Zhang, Yalan; Ban, Xiaojuan; Qian, Chen; Hou, Fei; He, Ying, 2025, "PGA-NeuS: Physics and Geometry-Augmented Neural Implicit Surfaces for Rigid Bodies", https://doi.org/10.21979/N9/LTXKFL, DR-NTU (Data), V2
This paper tackles the challenges of physics-based simulation of rigid bodies in neural rendering, focusing on 3D model representation and collision handling. A synthetic and real-world dataset is also included in the paper.
Apr 27, 2026 - SUN Haonan
Sun, Haonan; Shen, Guibin; Chua, Huei Min; Tay, Darrell Jun Jie; Su, Yuanjie; Pu, Yahong; Wang, Yanju; Tay, Yeow Boon; Fu, Hongkang; Subodh, Gautam Mhaisalkar; Du, Shixuan; Nripan, Mathews; Leong, Wei Lin, 2026, "Replication Data for: Tuning self-assembled monolayers of Me-4PACz with bisphosphonic acid groups to improve temperature and cycling stability of perovskite photovoltaics", https://doi.org/10.21979/N9/HCMNLA, DR-NTU (Data), V1
This dataset contains the experimental data for the paper: "Tuning self-assembled monolayers of Me-4PACz with bisphosphonic acid groups to improve temperature and cycling stability of perovskite photovoltaics"
Apr 27, 2026 - Grace NG
Ng, Grace; Feng, Lujia; Zhou, Xin; Luo, Haipeng; Wang, Kelin; Sun, Tianhaozhe; Yong, Chien Zheng; Hill, Emma M., 2026, "Replication Data for: Weak asthenosphere of Sumatran backarc revealed by long postseismic geodetic records", https://doi.org/10.21979/N9/BQIBCE, DR-NTU (Data), V1
This dataset includes all input files used to conduct the postseismic viscoelastic modelling in the manuscript "Weak asthenosphere of Sumatran backarc revealed by long postseismic geodetic records" submitted to Communications Earth & Environment (2025-10-15).
Apr 23, 2026 - Emma Elizabeth RAMSAY
Ramsay, Emma Elizabeth, 2026, "Data for Evidence gaps in tropical plant responses to climate change", https://doi.org/10.21979/N9/3JWFCC, DR-NTU (Data), V1, UNF:6:ngzWw4r89qqZy+qGOZ1uuA== [fileUNF]
Dataset1_review.csv is a dataset of 309 studies documenting tropical plant responses to climate change identified through a systematic review. Dataset2_synthesis.csv is a synthesis of the direction of change for individual species climate responses from the studies in dataset1. D...
Add Data

Log in to create a dataverse or add a dataset.

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.