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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.

How to deposit?

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

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911 to 920 of 3,555 Results
FashionEngine: Interactive 3D Human Generation and Editing via Multimodal Controls
Jan 16, 2025 - S-Lab for Advanced Intelligence
Hu, Tao; Hong, Fangzhou; Chen, Zhaoxi; Liu, Ziwei, 2025, "FashionEngine: Interactive 3D Human Generation and Editing via Multimodal Controls", https://doi.org/10.21979/N9/WRPWAN, DR-NTU (Data), V1
We present FashionEngine, an interactive 3D human generation and editing system that creates 3D digital humans via user-friendly multimodal controls such as natural languages, visual perceptions, and hand-drawing sketches. FashionEngine automates the 3D human production with thre...
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment
Jan 15, 2025 - S-Lab for Advanced Intelligence
Liu, Chenxi; Xu, Qianxiong; Miao, Hao; Yang, Sun; Zhang, Lingzheng; Long, Cheng; Li, Ziyue; Zhao, Rui, 2025, "TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment", https://doi.org/10.21979/N9/V1XDVB, DR-NTU (Data), V1
Multivariate time series forecasting (MTSF) aims to learn temporal dynamics among variables to forecast future time series. Existing statistical and deep learning-based methods suffer from limited learnable parameters and small-scale training data. Recently, large language models...
Related Data for: 022116-00001
Jan 14, 2025 - GAO Tianshu
Gao, Tianshu, 2025, "Related Data for: 022116-00001", https://doi.org/10.21979/N9/ANA61C, DR-NTU (Data), V1, UNF:6:bPhXsI11A9D/LZAdYpXmOA== [fileUNF]
Polymer Electrolyte Membrane (PEM) and Seawater Electrolyzers Assembled from Single-Atom Catalysts
Post-pandemic Health Behavior
Jan 11, 2025 - Sulfikar AMIR
Amir, Sulfikar, 2025, "Post-pandemic Health Behavior", https://doi.org/10.21979/N9/J95WLR, DR-NTU (Data), V2, UNF:6:XIYsWx7OvWDE7KfOYfztgA== [fileUNF]
This dataset results from a 2024 national survey of health behavior in Indonesia
Replication Data for: Do Not DeepFake Me: Privacy-Preserving Neural 3D Head Reconstruction Without Sensitive Images
Jan 10, 2025 - S-Lab for Advanced Intelligence
Kong, Jiayi; Song, Xurui; Huai, Shuo; Xu, Baixin; Luo, Jun; He, Ying, 2025, "Replication Data for: Do Not DeepFake Me: Privacy-Preserving Neural 3D Head Reconstruction Without Sensitive Images", https://doi.org/10.21979/N9/T3AGA8, DR-NTU (Data), V1
While 3D head reconstruction is widely used for modeling, existing neural reconstruction approaches rely on high-resolution multi-view images, posing notable privacy issues. Individuals are particularly sensitive to facial features, and facial image leakage can lead to many malic...
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)
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.
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