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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.

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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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141 to 150 of 3,252 Results
Jun 20, 2025 - NIE Data Repository (Harvested)
Lyu, Qianru; Lin, Zirou; Chen, Wenli, 2025, "Related Data for: Peer feedback feature analysis with large language models: An exploratory study", https://doi.org/10.25340/R4/F6MYEZ
Peer feedback is a pedagogical strategy for peer learning. Despite recent indications of Large Language Models (LLMs) ' potential for content analysis, there is limited empirical exploration of their application in supporting the peer feedback process. This study enhances the ana...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Jun 20, 2025 - NIE Data Repository (Harvested)
Muhammad Ammar Marican; Chandra, Lavern; Tang, Yunqi; Muhammad Nur Shahril Iskandar; Lim, Cheryl Xue Er; Kong, Pui Wah, 2025, "Related Data for: Biomechanical effects of a passive back-support exosuit during simulated military lifting tasks: An EMG study", https://doi.org/10.25340/R4/MHOS3X
Military operators performing vehicle maintenance work are at times subject to onerous tasks such as lifting and transporting heavy loads, potentially in confined spaces. As this presents a risk for developing musculoskeletal injury, it is of interest to evaluate if a passive bac...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Jun 20, 2025 - NIE Data Repository (Harvested)
Lyu, Qianru; Chen, Wenli; Liu, Shuai; Heng, John Gerard Kok Hui; Su, Junzhu; Wang, Yuhan, 2025, "Related Data for: Hands-on consensus building: Leveraging deep learning models to unveil hand gestures in consensus-building discourses", https://doi.org/10.25340/R4/LL3APY
From the lens of embodied cognition, hand gestures emerge as vital embodiments facilitating shared meaning-making among learners in collaborative learning. Despite this recognition, the specific role of hand employment in various consensus-building discourses remains elusive, and...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Jun 12, 2025 - CHEONG Siew Ann
Cheong, Siew Ann, 2025, "Topological and Geometrical Characterization of the Complex Dynamics of Stock Markets and Science Citation Networks at Multiple Length Scales", https://doi.org/10.21979/N9/IJIOKM, DR-NTU (Data), V1
Secondary datasets, MATLAB scripts, and Python scripts for the manuscript titled "Topological and Geometrical Characterization of the Complex Dynamics of Stock Markets and Science Citation Networks at Multiple Length Scales"
Jun 12, 2025 - Preventing limb losses in Singapore through Health Literacy and Healthcare Improvements
Center for Population Health Sciences, 2025, "Real-world clinical practice of Diabetic Foot Ulcer prevention and care management in Singapore: A qualitative comparative inquiry with healthcare professionals", https://doi.org/10.21979/N9/NDYXRX, DR-NTU (Data), V1
Research Data for Project: Preventing limb losses in Singapore through Health Literacy and Healthcare Improvements, Work Package 1 Focus Group Discussion Transcripts and Participant Socio-demographic Summary [In Internal Review]
Jun 12, 2025 - S-Lab for Advanced Intelligence
Wu, Size; Jin, Sheng; Zhang, Wenwei; Xu, Lumin; Liu, Wentao; Li, Wei; Loy, Chen Change, 2025, "F-LMM: Grounding Frozen Large Multimodal Models", https://doi.org/10.21979/N9/M0U5AV, DR-NTU (Data), V1
Endowing Large Multimodal Models (LMMs) with visual grounding capability can significantly enhance AIs’ understanding of the visual world and their interaction with humans. However, existing methods typically fine-tune the parameters of LMMs to learn additional segmentation token...
Jun 11, 2025 - Airfoils Datasets For Deep Learning (AI4Science)
Lim, Wei Xian; Chan, Wai Lee, 2025, "Related Data for: Accelerating Fluid Simulations with Graph Convolution Network Predicted Flow Fields", https://doi.org/10.21979/N9/9OYSTD, DR-NTU (Data), V1
The field of computational fluid dynamics (CFD) is integral to engineering disciplines, particularly for designing systems that operate under complex fluid flow conditions. Accurate simulation of flow fields is essential for optimizing performance across a variety of applications...
Airfoils Datasets For Deep Learning (AI4Science)(Nanyang Technological University)
Jun 11, 2025CHAN Wai Lee
Simulation results of various NACA airfoil shapes and flow conditions for ML training.
Jun 10, 2025 - Nicolo IVANOVICH
Ivanovich, Nicolo, 2025, "The microbial corrosion landscape: metabolites and lipids spatial heterogeneity in Desulfovibrio ferrophilus biofilm", https://doi.org/10.21979/N9/B1STRR, DR-NTU (Data), V1, UNF:6:zihVOAWGs3u32+rksuzCuw== [fileUNF]
Raw data and R Markdown of the code used for the manuscript
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