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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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81 to 90 of 2,314 Results
Related Data for: Enhanced tunable X-rays from bulk crystals driven by table-top free electron energies
Oct 22, 2025 - ZHAI Qingwei
Zhai, Qingwei; Pramanik, Nikhil; Duan, Ruihuan; Huang, Sunchao; Liu, Zheng; Wong, Liang Jie, 2025, "Related Data for: Enhanced tunable X-rays from bulk crystals driven by table-top free electron energies", https://doi.org/10.21979/N9/WZAMZ0, DR-NTU (Data), V1, UNF:6:nJhYFFasbKoHid6aS6g/PA== [fileUNF]
This dataset contains the raw data corresponding to the figures presented in the main text of the paper titled “Enhanced tunable X-rays from bulk crystals driven by table-top free-electron energies".
Jupyter notebooks
Oct 17, 2025 - Dennis Zhiming TAY
Tay, Dennis Zhiming, 2025, "Jupyter notebooks", https://doi.org/10.21979/N9/HH24MK, DR-NTU (Data), V1
Jupyter notebooks for NLP downstream tasks
Discourse_datasets_NLP
Oct 17, 2025 - Dennis Zhiming TAY
Tay, Dennis Zhiming, 2025, "Discourse_datasets_NLP", https://doi.org/10.21979/N9/KGGMKZ, DR-NTU (Data), V2, UNF:6:ypWKAxGpNW5Qw93A2vEy6Q== [fileUNF]
Cleaned discourse datasets (with feature scores where appropriate) for downstreamed NLP/ML tasks
Replication Data for: Observation of helical pulses
Oct 17, 2025 - Yijie SHEN
Wang, Ren; Shen, Yijie; Mata-Cervera, Nilo, 2025, "Replication Data for: Observation of helical pulses", https://doi.org/10.21979/N9/C8TQES, DR-NTU (Data), V1
Simulation code for space-time helical pulses, experimental data
Replication Data for: Integrated Power Management System for the Next-Generation Internet-of-Things
Oct 14, 2025 - TAY Sun Yang
Tay, Sun Yang, 2025, "Replication Data for: Integrated Power Management System for the Next-Generation Internet-of-Things", https://doi.org/10.21979/N9/1C1VYI, DR-NTU (Data), V1, UNF:6:qEkhnxnudMh8lO/SRTVslg== [fileUNF]
This dataset contain raw data of our DC-DC converter prototype
Related Data for: Does the teacher matter? University students’ physiological responses in online interactions with an AI-chatbot and a human teacher
Oct 14, 2025 - NIE Data Repository (Harvested)
Lim, Fei Victor, 2025, "Related Data for: Does the teacher matter? University students’ physiological responses in online interactions with an AI-chatbot and a human teacher", https://doi.org/10.25340/R4/XYHVSK
As generative AI (Gen AI) chatbots become more common as learning partners, questions remain about students’ emotional and physiological responses to them. This study used a multimodal design to compare university students’ experiences during a 25‑minute brainstorming session wit...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Towards Video Thinking Test: A Holistic Benchmark for Advanced Video Reasoning and Understanding
Oct 7, 2025 - S-Lab for Advanced Intelligence
Zhang, Yuanhan; Chew, Yunice; Dong, Yuhao; Leo, Aria; Hu, Bo; Liu, Ziwei, 2025, "Towards Video Thinking Test: A Holistic Benchmark for Advanced Video Reasoning and Understanding", https://doi.org/10.21979/N9/KTBVSQ, DR-NTU (Data), V1
We introduce the Video Thinking Test (Video-TT), a benchmark designed to assess if video LLMs can interpret real-world videos as effectively as humans. Video-TT 1) differentiates between errors due to inadequate frame sampling and genuine gaps in understanding complex visual narr...
Replication Data for: Satellite radar advances carbon emissions accountability over tropical peat
Oct 4, 2025 - Cheryl TAY
Tay, Cheryl Wen Jing; Jovani-Sancho, Jonay; Yulianti, Lisna; Evans, Chris; Callaghan, Nathan; Jaya, Adi; Salman, Rino; Zheng, Yujie; Susilo, Susilo; Dohong, Salampak; Yun, Sang-Ho, 2025, "Replication Data for: Satellite radar advances carbon emissions accountability over tropical peat", https://doi.org/10.21979/N9/JGQE4O, DR-NTU (Data), V1, UNF:6:yEjm6x3K+ac3QYyFQsDgaA== [fileUNF]
This data repository contains peat motions derived from ALOS-2 InSAR in Central Kalimantan, Indonesia in the study "Satellite radar advances carbon emissions accountability over tropical peat". Refer to README.txt for further details.
Related Data for: Observation of Collective Responses in a Lumped Electronic Device
Oct 3, 2025 - Abdallah Y.I. ABUSHAWISH
Abushawish, Abdallah; Huang, Ziwen; Nikoo, Mohammad Samizadeh, 2025, "Related Data for: Observation of Collective Responses in a Lumped Electronic Device", https://doi.org/10.21979/N9/IP27UF, DR-NTU (Data), V1
This dataset contains MATLAB code used to generate key simulation results for the Physics Review Letters manuscript on electronic metadevices. Specifically, the scripts calculate and plot the normalized contact resistance (Rc) as a function of (1) the number of stripes (N) for di...
Related Data for: Social inclusion through attitudinal change in Singaporean teachers
Oct 3, 2025 - NIE Data Repository (Harvested)
Thaver, Thana; Lim, Levan; Liau, Albert Kienfie, 2025, "Related Data for: Social inclusion through attitudinal change in Singaporean teachers", https://doi.org/10.25340/R4/AMV9EO
The development of positive teacher attitudes towards students with disabilities is a catalyst for their social inclusion. It is therefore important that the foundations for positive teacher attitudes be laid in pre-service teacher education programmes. This article reports a pil...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
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