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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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301 to 310 of 3,296 Results
Mar 1, 2025 - Andrea VEROLINO
Verolino, Andrea; Watanabe, Masashi; Felix, Raquel; Tan, Elaine; Yang, Jie; Weiss, Robert; Lynett, Patrick; Switzer, D. Adam, 2025, "Replication Data for: Forced and Free Waves of simulated Volcanic Meteo-Tsunamis in the South China Sea", https://doi.org/10.21979/N9/L9W5CM, DR-NTU (Data), V1
This work assesses and quantifies the forced and free wave components of volcanic meteo-tsunamis for simulated scenarios around the South China Sea. Free waves have the demonstrated potential of arriving much later than their force leading counterpart and this has important impli...
Feb 28, 2025 - HE Tai-Sen
He, Tai-Sen, 2025, "Replication Data for: Training Children's Strategic Reasoning", https://doi.org/10.21979/N9/XKFBHR, DR-NTU (Data), V1
This projects investigates how theory-of-mind training through a series of drama classes influences children's decision-making.
Feb 28, 2025 - Yuanjian LI
Li, Yuanjian; Madhukumar, A. S., 2025, "Related Data for: Hybrid Near- and Far-Field THz UM-MIMO Channel Estimation: A Sparsifying Matrix Learning-Aided Bayesian Approach", https://doi.org/10.21979/N9/HOX79X, DR-NTU (Data), V1
Python source code associated with the publication titled "Hybrid Near- and Far-Field THz UM-MIMO Channel Estimation: A Sparsifying Matrix Learning-Aided Bayesian Approach". These codes can be used to produce simulation figures in this publication.
Yuanjian LI(Nanyang Technological University)
Feb 28, 2025College of Computing and Data Science (CCDS)
Feb 28, 2025 - XUE Can
Xue, Can, 2025, "Related data for: Magnetic template-assisted construction of 2D PCN/TiO2 heterostructures for efficient photocatalytic hydrogen generation", https://doi.org/10.21979/N9/XTLHYU, DR-NTU (Data), V1
Related data for: Magnetic template-assisted construction of 2D PCN/TiO2 heterostructures for efficient photocatalytic hydrogen generation
Feb 25, 2025 - LIE Stener
Lie, Stener, 2025, "Replication Data for: Experimental and Computational Insights into CuS-Mg Composites for High-Performance p-Type Transparent Conducting Materials", https://doi.org/10.21979/N9/DPQWT3, DR-NTU (Data), V1
Replication Data for: Experimental and Computational Insights into CuS-Mg Composites for High-Performance p-Type Transparent Conducting Materials
Feb 25, 2025 - TONG Ping
Tong, Ping, 2024, "Replication Data for: Multilevel trans-crustal magmatic system beneath the Geysers-Clear Lake area", https://doi.org/10.21979/N9/JPCTF9, DR-NTU (Data), V2
PmP traveltimes and the 3D P-wave velocity model for the Geysers-Clear Lake area
Feb 24, 2025 - TONG Ping
Tong, Ping, 2025, "Replication Data for: Seismic Azimuthal Anisotropy of New Zealand revealed by Adjoint-state Traveltime Tomography", https://doi.org/10.21979/N9/QKU80S, DR-NTU (Data), V1
A 3D azimuthally anisotropic model that encompasses both the North and South Islands of New Zealand to a depth of 40 km, using over 1 million local P-wave arrival times and a newly developed adjoint-state traveltime tomography technique.
Feb 24, 2025 - Thilakarathna Mudiyanselage Tharaka Sudesh PRIYADARSHANA
Priyadarshana, Tharaka S., 2025, "Data from: The direct and indirect effects of road verges and urban greening on butterflies in a tropical city-state", https://doi.org/10.21979/N9/ZRDFUN, DR-NTU (Data), V1, UNF:6:NpN1OOw2yV5rpsoCG/fpXw== [fileUNF]
This includes the data file and R-codes for the statistics
Feb 24, 2025 - Causal language in child-directed speech in Singapore
Teo, Hannah M.; Styles, Suzy J., 2025, "Preregistration Documents for "Causal language in child-directed speech in Singapore"", https://doi.org/10.21979/N9/H4T4NY, DR-NTU (Data), V1
Causal reasoning is an important cognitive competency that allows us to make predictions, categorise items, make decisions, problem-solve and more (Waldmann & Hagmayer, 2013). A causal event structure involves a cause: a prior event that occurs, and an effect: a result that occur...
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