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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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51 to 60 of 3,252 Results
Replication Data for: Pre_QE Yaw15 and no yaw separation line
Replication Data for: Pre_QE Yaw15 and no yaw separation line
Oct 16, 2025 - WANG Dayi
Wang, Dayi, 2025, "Replication Data for: Pre_QE Yaw15 and no yaw separation line", https://doi.org/10.21979/N9/WH09PV, DR-NTU (Data), V1
Yaw 15 and no yaw separation line
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
TAY Sun Yang(Nanyang Technological University)
Oct 14, 2025School of Electrical and Electronic Engineering (EEE)
Appointment: PhD student
Replication Data for: Pre_QE Tubercled wing slice results A012
Oct 14, 2025 - WANG Dayi
Wang, Dayi, 2025, "Replication Data for: Pre_QE Tubercled wing slice results A012", https://doi.org/10.21979/N9/8YTOPR, DR-NTU (Data), V1
No yaw A012 slice result
Replication Data for: Pre_QE Tubercled wing slice results A005
Replication Data for: Pre_QE Tubercled wing slice results A005
Oct 14, 2025 - WANG Dayi
Wang, Dayi, 2025, "Replication Data for: Pre_QE Tubercled wing slice results A005", https://doi.org/10.21979/N9/NC25AN, DR-NTU (Data), V1
No yaw A005 slice result
Replication Data for: Pre_QE Tubercled wing slice results A0025
Oct 14, 2025 - WANG Dayi
Wang, Dayi, 2025, "Replication Data for: Pre_QE Tubercled wing slice results A0025", https://doi.org/10.21979/N9/EQGH8B, DR-NTU (Data), V1
A0025 no yaw slice result
Replication Data for: Pre_QE Tubercled wing slice results baseline
Oct 14, 2025 - WANG Dayi
Wang, Dayi, 2025, "Replication Data for: Pre_QE Tubercled wing slice results baseline", https://doi.org/10.21979/N9/JTJSOP, DR-NTU (Data), V1
Slice data for tubercled wings. RANS result Baseline
WANG Dayi(Nanyang Technological University)
Oct 14, 2025School of Mechanical and Aerospace Engineering (MAE)
Appointment: PhD student
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...
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