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Deposit, archive and share your final research data in DR-NTU (Data)


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 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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1 to 10 of 2,893 Results
Pradeep Kumar GOPALAKRISHNAN(Nanyang Technological University)
Oct 17, 2024School of Electrical and Electronic Engineering (EEE)
Appointment: PhD student
Related Data for: A New Lightweight In Situ Adversarial Sample Detector for Edge Deep Neural Network
Oct 16, 2024 - WANG Si
Wang, Si; Liu, Wenye; Chang, Chip-Hong, 2024, "Related Data for: A New Lightweight In Situ Adversarial Sample Detector for Edge Deep Neural Network", https://doi.org/10.21979/N9/8LWB8D, DR-NTU (Data), V1
This dataset contains shell scripts for configurable glitch injection through GPIO as well as the decision tree detector. It also contains partial program source code for glitch control and the corresponding generated bitstream.
Singapore Live Turtle and Tortoise Museum Artifacts Visual Archive
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
Appointment: Assistant Professor (Former) Research topics: • Interest in the history of science and technology, STS, and the history of Japan in the world.
Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach
Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach
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"
Replication Data for: Coastal vertical land motion across Southeast Asia derived from combining tide gauge and satellite altimetry observations
Replication Data for: Coastal vertical land motion across Southeast Asia derived from combining tide gauge and satellite altimetry observations
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.
Related Data for: Identifying the problem side with single-leg squat and hamstrings flexibility for non-specific chronic low back pain
Oct 10, 2024 - NIE Data Repository (Harvested)
Kwok, Boon Chong; Smith, Helen Elizabeth; Kong, Pui Wah, 2024, "Related Data for: Identifying the problem side with single-leg squat and hamstrings flexibility for non-specific chronic low back pain", https://doi.org/10.25340/R4/V5VNV3
Background and Objectives: In patients with non-specific chronic low back pain (LBP), their pain and problem sides can differ. Clinical Pilates assessment provides an approach to identify the problem side, but this approach requires experience and can be subjective. This study ai...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Related Data for: Two-dimensional kinematics differences between sexes in runners with and without patellofemoral pain
Oct 10, 2024 - NIE Data Repository (Harvested)
Loh, Ban Chuan; Ho, Mei Yee; Muhammad Nur Shahril Iskandar; Kong, Pui Wah, 2024, "Related Data for: Two-dimensional kinematics differences between sexes in runners with and without patellofemoral pain", https://doi.org/10.25340/R4/4B8JFB
Patellofemoral pain (PFP) is a common injury in runners, especially females, but it is unclear if the kinematic risk factors between the sexes are the same. This study aimed to identify the kinematics of healthy and injured recreational runners with PFP in both sexes. High-speed...
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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