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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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971 to 980 of 3,555 Results
Oct 16, 2024 - Turtles All the Way Down
Onaga, Lisa; Tan, Connie; Chen, Song-Chuan; Peh, Yang Yu; Soh, Esmond; Tan, Delfinn; Alhadad, Aishah; Hu, Tsun Hao; Rao, Tejala; Kee, Andrea; Saradha, Anna; Tsang, Yuk Tim; Tan, Ghim Yeow; Zhang, Kuanxu; Glienke, Melanie; Schild, Paul, 2024, "Singapore Live Turtle and Tortoise Museum Artifacts Visual Archive", https://doi.org/10.21979/N9/UHTRPW, DR-NTU (Data), V1, UNF:6:d/O3ZdrJ6FV9JjmnMj7BOw== [fileUNF]
Over 2000 artifacts representing or depicting turtles and tortoises, housed at the Singapore Live Turtle and Tortoise Museum in Chinese Gardens were photographically documented in the summer of 2017 while the museum faced possible relocation. The collection consists of objects of...
Turtles All the Way Down(Nanyang Technological University)
Oct 16, 2024Lisa ONAGA
Lisa ONAGA(Nanyang Technological University)
Oct 16, 2024School of Humanities
Research topics: • Interest in the history of science and technology, STS, and the history of Japan in the world.
Oct 16, 2024 - WANG Si
Wang, Si; Chang, Chip Hong, 2024, "Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach", https://doi.org/10.21979/N9/ZDWQLI, DR-NTU (Data), V1, UNF:6:SczDG/K0h5MoF1viJWM7Pg== [fileUNF]
This dataset contains partial program source code and the data for analysis for the paper "Fingerprinting Deep Neural Networks - a DeepFool Approach"
Oct 16, 2024 - SEA2 Component A
Peng, Dongju; Ng, Grace; Feng, Lujia; Cazenave, Anny; Hill, Emma M., 2024, "Replication Data for: Coastal vertical land motion across Southeast Asia derived from combining tide gauge and satellite altimetry observations", https://doi.org/10.21979/N9/HODM0Y, DR-NTU (Data), V1
This dataset contains the vertical land motion time series figures and data files derived from satellite altimetry and 50 tide gauge stations.
SEA2 Component A(Nanyang Technological University)
Oct 16, 2024Earth Observatory of Singapore (EOS)
This dataverse contains the data related to component A of the Southeast Asia Sea-level Program (SEA2) program. Component A focuses on the contribution of solid Earth deformation to sea-level change.
Oct 9, 2024 - Kai Keng ANG
Premchand, Brian; Liang, Liyuan; Kok Soon, Phua; Zhang, Zhuo; Wang, Chuanchu; Guo, Ling; Ang, Jennifer; Koh, Juliana; Yong, Xueyi; Ang, Kai Keng, 2024, "Related Data for: Wearable EEG-Based Brain–Computer Interface for Stress Monitoring", https://doi.org/10.21979/N9/ZJM6WF, DR-NTU (Data), V1
Dataset comprised EEG and ECG data collected from 40 subjects performing MMIT and CVT Tasks as described in the paper.
Kai Keng ANG(Nanyang Technological University)
Oct 9, 2024College of Computing and Data Science (CCDS)
Oct 8, 2024 - S-Lab for Advanced Intelligence
Huang, Ziqi; Wu, Tianxing; Jiang, Yuming; Chan, Kelvin C. K.; Liu, Ziwei, 2024, "Replication Data for: ReVersion: Diffusion-Based Relation Inversion from Images", https://doi.org/10.21979/N9/UWSAXU, DR-NTU (Data), V1
A replication of the ReVersion Benchmark, for the paper "ReVersion: Diffusion-Based Relation Inversion from Images".
Oct 8, 2024 - S-Lab for Advanced Intelligence
Xie, Binzhu; Zhang, Sicheng; Zhou, Zitang; Li, Bo; Zhang, Yuanhan; Hessel, Jack; Yang, Jingkang; Liu, Ziwei, 2024, "FunQA: Towards Surprising Video Comprehension", https://doi.org/10.21979/N9/SMR703, DR-NTU (Data), V1
Surprising videos, e.g., funny clips, creative performances, or visual illusions, attract significant attention. Enjoyment of these videos is not simply a response to visual stimuli; rather, it hinges on the human capacity to understand (and appreciate) commonsense violations dep...
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