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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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1,241 to 1,250 of 3,555 Results
Feb 15, 2024 - Andrea VEROLINO
Verolino, Andrea; Wee, Su Fen; Jenkins, Susanna; Costa, Fidel; Switzer, Adam, 2024, "Replication data for: SEATANI: Hazards from seamounts in SouthEast Asia, Taiwan, and Andaman and Nicobar Islands (eastern India)", https://doi.org/10.21979/N9/UIJPLE, DR-NTU (Data), V1, UNF:6:SyadGBqcSBF7YKlQo7nz4g== [fileUNF]
In this work, we compiled a dataset of volcanic seamounts for southeast Asian and some neighbouring countries (SEATANI dataset). We then characterised these seamounts in terms of morphology and evolution stage, and used this information for understanding their hazard potential. L...
Leo YANG(Nanyang Technological University)
Feb 14, 2024School of Mechanical and Aerospace Engineering (MAE)
Feb 14, 2024 - Wenyang LIU
Liu, Wenyang; Wang, Yi; Yap, Kim-Hui; Chau, Lap-Pui, 2024, "Related Data for: Bitstream-Corrupted JPEG Images are Restorable: Two-stage Compensation and Alignment Framework for Image Restoration"", https://doi.org/10.21979/N9/4CTXCI, DR-NTU (Data), V2
The dataset contains the original figures and related data for analyzing the paper "Bitstream-Corrupted JPEG Images are Restorable: Two-stage Compensation and Alignment Framework for Image Restoration".
Wenyang LIU(Nanyang Technological University)
Feb 12, 2024School of Electrical and Electronic Engineering (EEE)
Research topics: • Image Restoration on Bitstream • Corrupted JPEG Images
Feb 9, 2024 - Kaliya-Perumal Arun Kumar
Kaliya-Perumal, Arun Kumar, 2024, "Related data for: Genetic regulation of injury induced heterotopic ossification in adult zebrafish", https://doi.org/10.21979/N9/HEJN6X, DR-NTU (Data), V1
Genome-wide bulk RNA sequencing (RNASeq) of contused muscle from the caudal peduncle region of zebrafish at four time points: No injury (Control), 24 hours after single injury (SI), 24 hours after multiple injuries (MI), and 5 days after multiple injuries (D5MI). Dataset contains...
Kaliya-Perumal Arun Kumar(Nanyang Technological University)
Feb 9, 2024Lee Kong Chian School of Medicine
Xin DENG(Nanyang Technological University)
Xin DENG logo
Feb 8, 2024Nanyang Business School (NBS)
Research topics: • Fintech • Corporate Finance
Feb 7, 2024 - Kai Wan YUEN
Yuen, Kai Wan; Das, Diganta; Tran, Dung Duc; Park, Edward, 2024, "Related data for: Southeast Asia’s dynamic sand trade and the need for better data", https://doi.org/10.21979/N9/KV80XI, DR-NTU (Data), V2, UNF:6:S43/fQUmUiEkHR6YnOXuzA== [fileUNF]
USGS cement production data, Published sand production data, UN Comtrade data
Jan 31, 2024 - Lwin May Oo
Lwin, May Oo; Sheldenkar, Anita; Tng, Pei Ling, 2024, "Related data for: "You must be myths-taken: Examining belief in falsehoods during the Covid-19 health crisis"", https://doi.org/10.21979/N9/PCWG0U, DR-NTU (Data), V1, UNF:6:UPhTeITlQSFVpMgLVgzVmQ== [fileUNF]
This is the minimal anonymised dataset underlying the findings discussed in the paper titled "You must be myths-taken: Examining belief in falsehoods during the Covid-19 health crisis". Data for the 2020 survey is provided in its raw form, while data for the 2022 survey is shared...
Jan 31, 2024 - Han Sen SOO
Soo, Han Sen, 2024, "Replication Data for RT05/19: Improving Photocatalysts That Recycle Microplastics to Fuels by Artificial Intelligence", https://doi.org/10.21979/N9/NSOZCS, DR-NTU (Data), V2, UNF:6:I5U3N/RyUEJBkGLfXAxS2w== [fileUNF]
This contains most of the data that was generated during this project.
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