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

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51 to 60 of 2,275 Results
Sep 25, 2025 - NIE Data Repository (Harvested)
Munez, David; Bull, Rebecca; Khng, Kiat Hui; Ng, Ee Lynn; Poon, Kenneth K.; Lee, Kerry, 2025, "Related Data for: Mathematics resilience in preschool and executive functions", https://doi.org/10.25340/R4/3LLJDR
Background Children from disadvantaged socioeconomic (SES) backgrounds already show poorer academic skills than their more advantaged peers in preschool and are at higher risk of experiencing learning difficulties in formal school. However, not all children facing adversity exper...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Sep 25, 2025 - NIE Data Repository (Harvested)
Wong, Tak Hiong; Sim, Alexiaa; Burns, Stephen Francis, 2025, "Related Data for: The effects of nitrate ingestion on high-intensity endurance time-trial performance: A systematic review and meta-analysis", https://doi.org/10.25340/R4/PF9EYN
Background/Objective Dietary nitrate ingestion extends endurance capacity, but data supporting endurance time-trial performance are unclear. This systematic review and meta-analysis evaluated the evidence for dietary nitrate supplementation to improve high-intensity endurance tim...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Sep 25, 2025 - NIE Data Repository (Harvested)
Wong, Tak Hiong; Ooi, Delicia Shu Qin; Burns, Stephen Francis, 2025, "Related Data for: Five-day supplementation with an isotonic beetroot juice drink improves sprint interval exercise and muscle oxygenation in physically active individuals: A randomized crossover trial", https://doi.org/10.25340/R4/9J4LXK
This study investigated whether the addition of nitrate (from beetroot) to an isotonic drink provided over 5 days would affect sprint interval exercise (SIE) performance and muscle oxygenation. Twenty (seven female) physically active participants (mean ± SD; age 28 ± 6 years, BMI...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Sep 25, 2025 - NIE Data Repository (Harvested)
Wong, Tak Hiong; Sim, Alexiaa; Burns, Stephen Francis, 2025, "Related Data for: The effect of beetroot ingestion on high-intensity interval training: A systematic review and meta-analysis", https://doi.org/10.25340/R4/YH9OYE
Dietary nitrate supplementation has shown promising ergogenic effects on endurance exercise. However, at present there is no systematic analysis evaluating the effects of acute or chronic nitrate supplementation on performance measures during high-intensity interval training (HII...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Sep 24, 2025 - Project: Analysing Present and Future Compound Hydroclimate Extremes in Southeast Asia
Jian, Wei; Valentina, I Gusti Ayu Diah; Lo, Edmond Yat-Man, 2025, "Related Data for: Spatiotemporal Trends of Compound Weather and Climate Extremes and Their Impacts in Southeast Asia from 1983 to 2022", https://doi.org/10.21979/N9/UJ3UCE, DR-NTU (Data), V1
This dataset contains the identified compound extreme days across Southeast Asia (10S-30N, 90-130E) for the period 1983-2022. It includes concurrent precipitation and wind extremes (CPWEs), concurrent dry spell and heat extremes (DSHEs), and humid heatwave extremes (HHWEs). These...
Sep 19, 2025 - Navin Kumar VERMA
Verma, Navin Kumar, 2025, "The novel quinoline derivative SKA-346 as a KCa3.1 channel selective activator", https://doi.org/10.21979/N9/WD4RDP, DR-NTU (Data), V2
Main and supplementary figures
Sep 18, 2025 - KUMAR Rahul
Kumar, Rahul, 2025, "Related Data for: Late-Holocene sea-level markers preserved in a beach ridge system on Phra Thong Island, Thailand", https://doi.org/10.21979/N9/6OM7B4, DR-NTU (Data), V1
100 MHz ground penetrating radar (GPR) data were collected from Phra Thong Island, Thailand.
Sep 17, 2025 - S-Lab for Advanced Intelligence
Li, Ruibo; Shi, Hanyu; Wang, Zhe; Lin, Guosheng, 2025, "Weakly and Self-Supervised Class-Agnostic Motion Prediction for Autonomous Driving", https://doi.org/10.21979/N9/PE8MLE, DR-NTU (Data), V1
Understanding motion in dynamic environments is critical for autonomous driving, thereby motivating research on class-agnostic motion prediction. In this work, we investigate weakly and self-supervised class-agnostic motion prediction from LiDAR point clouds. Outdoor scenes typic...
Sep 17, 2025 - Ahmad IBRAHIM
Ibrahim, Ahmad, 2025, "Replication Data for: The role of alkali doping in enhancing bulk and interface properties of Cu2CdSnS4 solar cells", https://doi.org/10.21979/N9/A5FZZW, DR-NTU (Data), V1
Replication Data for: The role of alkali doping in enhancing bulk and interface properties of Cu2CdSnS4 solar cells
Sep 17, 2025 - Sreenivasulu Reddy MOGALI
Mogali, Sreenivasulu Reddy, 2025, "Replication Data for: Evaluation by medical students of the educational value of multi-material and multi-colored three-dimensional printed models of the upper limb for anatomical education", https://doi.org/10.21979/N9/HVNKUE, DR-NTU (Data), V1
This dataset comprises participants' perceptions—collected through surveys and focus group discussions—regarding their learning experience and the perceived educational value of a 3D-printed anatomical model of the human upper limb.
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