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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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331 to 340 of 3,263 Results
IMPRINT(Nanyang Technological University)
Jan 9, 2025CHEN Shen-Hsing Annabel
BadHMP: Backdoor Attack against Human Motion Prediction
Jan 8, 2025 - XU Chaohui
Xu, Chaohui, 2025, "BadHMP: Backdoor Attack against Human Motion Prediction", https://doi.org/10.21979/N9/YEDK7D, DR-NTU (Data), V1
Some selected benign/poisoned samples for BadHMP attack.
XU Chaohui(Nanyang Technological University)
Jan 8, 2025School of Electrical and Electronic Engineering (EEE)
Related Data for: The influences of ChatGPT on undergraduate students’ demonstrated and perceived interdisciplinary learning
Jan 7, 2025 - NIE Data Repository (Harvested)
Zhong, Tianlong; Zhu, Gaoxia; Hou, Chenyu; Wang, Yuhan; Fan, Xiuyi, 2025, "Related Data for: The influences of ChatGPT on undergraduate students’ demonstrated and perceived interdisciplinary learning", https://doi.org/10.25340/R4/RWO9FN
The significance of interdisciplinary learning has been well-recognized by higher education institutions. However, when teaching interdisciplinary learning to junior undergraduate students, their limited disciplinary knowledge and underrepresentation of students from some discipl...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
GAO Jianjun(Nanyang Technological University)
Jan 6, 2025School of Electrical and Electronic Engineering (EEE)
Data for High-Throughput Screening of Perovskites for Catalysis by Mechanochemistry and Machine Learning
Jan 3, 2025 - Han Sen SOO
Soo, Han Sen, 2020, "Data for High-Throughput Screening of Perovskites for Catalysis by Mechanochemistry and Machine Learning", https://doi.org/10.21979/N9/W0M8KL, DR-NTU (Data), V3
This contains all the data that will be generated during this project.
Skin-inspired flexible and printed iontronic sensor enables bimodal sensing of robot skin for machine-learning-assisted object recognition
Jan 3, 2025 - HE Qiang
He, Qiang, 2025, "Skin-inspired flexible and printed iontronic sensor enables bimodal sensing of robot skin for machine-learning-assisted object recognition", https://doi.org/10.21979/N9/QA4MOH, DR-NTU (Data), V1
Corresponding data
Learning 3D Garment Animation from Trajectories of A Piece of Cloth
Jan 3, 2025 - S-Lab for Advanced Intelligence
Shao, Yidi; Loy, Chen Change; Dai, Bo, 2025, "Learning 3D Garment Animation from Trajectories of A Piece of Cloth", https://doi.org/10.21979/N9/4YSCML, DR-NTU (Data), V1
Garment animation is ubiquitous in various applications, such as virtual reality, gaming, and film producing. Recently, learning-based approaches obtain compelling performance in animating diverse garments under versatile scenarios. Nevertheless, to mimic the deformations of the...
KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy
Jan 3, 2025 - S-Lab for Advanced Intelligence
Xu, Qianxiong; Long, Cheng; Li, Ziyue; Ruan, Sijie; Zhao, Rui; Li, Zhishuai, 2025, "KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy", https://doi.org/10.21979/N9/QH6QZN, DR-NTU (Data), V1
Sensors are commonly deployed to perceive the environment. However, due to the high cost, sensors are usually sparsely deployed. Kriging is the tailored task to infer the unobserved nodes (without sensors) using the observed nodes (with sensors). The essence of kriging task is tr...
CLIC - Centre for Lifelong Learning and Individualised Cognition(Nanyang Technological University)
Dec 30, 2024CRADLE - Centre for Research and Development in Learning
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