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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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291 to 300 of 3,415 Results
LO Yat-Man, Edmond(Nanyang Technological University)
LO Yat-Man, Edmond logo
Jul 22, 2025School of Civil and Environmental Engineering (CEE)
Research topics: • Hydrodynamics • Urban flood modelling • City growth dynamics
Related Data for: Compound Wind and Precipitation Extremes – Predictions for Southeast Asia Coastal CitiesEmbargoed
Jul 21, 2025 - Project: Analysing Present and Future Compound Hydroclimate Extremes in Southeast Asia
Valentina, I Gusti Ayu Diah; Jian, Wei; Lo, Edmond Yatman, 2027, "Related Data for: Compound Wind and Precipitation Extremes – Predictions for Southeast Asia Coastal Cities", https://doi.org/10.21979/N9/FZ4L2W, DR-NTU (Data), V1
This dataset consists of compound precipitation and wind (CPW) extremes days in three cities for each group during the historical climate (1975-2005) and present climate (2006-2023) under the RCP 4.5 scenario. CPW extreme days date entry is written in yyyyddmm format for each cit...
Data used for: Extremely stiff and lightweight auxetic metamaterial designs enabled by asymmetric strut cross-sections
Jul 18, 2025 - Cost-Effective and Versatile Method of Additively Manufacturing 3D Metal Structures
Seetoh, Peiyuan Ian; Lai, Chang Quan, 2025, "Data used for: Extremely stiff and lightweight auxetic metamaterial designs enabled by asymmetric strut cross-sections", https://doi.org/10.21979/N9/DSILXC, DR-NTU (Data), V1, UNF:6:/XPpccthazACMum1Ub6yMQ== [fileUNF]
Data used in the journal publication "Extremely stiff and lightweight auxetic metamaterial designs enabled by asymmetric strut cross-sections"
Cost-Effective and Versatile Method of Additively Manufacturing 3D Metal Structures(Nanyang Technological University)
Jul 18, 2025LAI Changquan
LAI Changquan(Nanyang Technological University)
LAI Changquan logo
Jul 17, 2025School of Mechanical and Aerospace Engineering (MAE)
Research topics: • Cellular Solids • Structural Materials • Additive Manufacturing • Mechanics of Materials • Interfacial Science and Engineering • Nanoscale Engineering • Biomedical Engineering
Related Data for: Magic wavelength at 477 nm for the strontium clock transition
Related Data for: Magic wavelength at 477 nm for the strontium clock transition
Jul 9, 2025 - David WILKOWSKI
Wilkowski, David, 2025, "Related Data for: Magic wavelength at 477 nm for the strontium clock transition", https://doi.org/10.21979/N9/0WPTNP, DR-NTU (Data), V1
Data for the 477nm magic wavelength paper
Replication Data for: Electric-Field Tunable THz Emission via Quantum Geometry in Dirac Semimetal
Jul 8, 2025 - Ziqi LI
Li, Ziqi; Chia, Elbert E. M., 2025, "Replication Data for: Electric-Field Tunable THz Emission via Quantum Geometry in Dirac Semimetal", https://doi.org/10.21979/N9/UZYKS9, DR-NTU (Data), V1
Electric-field manipulation of spin degrees of freedom is pivotal for next-generation spintronics, yet non-volatile control at terahertz (THz) frequencies remains elusive. Here, we harness the quantum geometry of a Dirac semimetal, PtTe2, to achieve all-electrical tunability of T...
Ziqi LI(Nanyang Technological University)
Jul 8, 2025School of Physical and Mathematical Sciences (SPMS)
Related Data for: Explainable AI for Property Prediction in Scrap-Based Steel Production: A Public Data Implementation
Jul 8, 2025 - Gerfried MILLNER
Millner, Gerfried, 2025, "Related Data for: Explainable AI for Property Prediction in Scrap-Based Steel Production: A Public Data Implementation", https://doi.org/10.21979/N9/NYRGAA, DR-NTU (Data), V1, UNF:6:NRQOm+PGhquIFLnzWmiFTg== [fileUNF]
This folder contains the supplementary information for the conference paper "Explainable AI for Property Prediction in Scrap-Based Steel Production: A Public Data Implementation" The datasets used are publicly available and referenced in the following: 1. Guo, S., Yu, J., Liu, X....
Gerfried MILLNER(Nanyang Technological University)
Jul 8, 2025School of Materials Science and Engineering (MSE)
This dataverse archives research data and supplementary information of papers from Gerfried Millner, a materials science researcher specializing in data-driven modeling and AI applications.
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