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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.

How to deposit?

Useful links: FAQs | Collection Guidelines | NTU Research Data Management | General terms of use and Privacy policy

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68,831 to 68,840 of 73,600 Results
training.py
Apr 6, 2020 - Thermal Image Guided Upsampling
Python Source Code - 9.7 KB - MD5: 6f96ae056ec14e0a731ea71c1de6efc1
training_v1.py
Apr 6, 2020 - Thermal Image Guided Upsampling
Python Source Code - 9.1 KB - MD5: decfedc4de64864d6e7d5c9628bfa45c
upsampling_without_interpolation.py
Apr 6, 2020 - Thermal Image Guided Upsampling
Python Source Code - 2.6 KB - MD5: 2610b9c78cd529f177d96bbb51896cde
utils_general.py
Apr 6, 2020 - Thermal Image Guided Upsampling
Python Source Code - 526 B - MD5: 614ac8df6fcfa5d2cde1a4d47e004c95
utils.py
Apr 6, 2020 - Thermal Image Guided Upsampling
Python Source Code - 1.6 KB - MD5: bcb1fb8d3273a97219b0d18438b40d10
vis_utils.py
Apr 6, 2020 - Thermal Image Guided Upsampling
Python Source Code - 1.1 KB - MD5: fd87c12313de9e5751e6fe7ab4d340ed
Teerawat Piriyatharawet (Nanyang Technological University)
Apr 6, 2020College of Computing and Data Science (CCDS)
Appointment: Project Officer (Former)
AIC Project Dataset
AIC Project Dataset
Apr 3, 2020 - Alton Chua Yeow Kuan
Chua, Alton Yeow Kuan, 2020, "AIC Project Dataset", https://doi.org/10.21979/N9/F52OHX, DR-NTU (Data), V1
AIC Survey Data
Appendix_A.pdf
Appendix_A.pdf
Apr 3, 2020 - AIC Project Dataset
Adobe PDF - 786.8 KB - MD5: b42e4e8c2622a6ee8bc9992042e41b46
AIC Project: Survey Data
Appendix_B.pdf
Appendix_B.pdf
Apr 3, 2020 - AIC Project Dataset
Adobe PDF - 475.7 KB - MD5: 90cecba08603c440f96847391c4a54e3
AIC Project: Interview Data
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