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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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67,611 to 67,620 of 73,650 Results
Nang Thin Zar Win (Nanyang Technological University)
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Apr 22, 2020Earth Observatory of Singapore (EOS)
Research topics: • Programming • Database For more information, visit webpage
Low Sunny(Nanyang Technological University)
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Apr 22, 2020Wee Kim Wee School of Communication and Information (WKWSCI)
MS Word - 89.9 KB - MD5: 3cba72a1e8afc3be9106993b384be988
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MS Word - 11.8 KB - MD5: 83503b3ee04e9c38f4b03d0a9b41c79e
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Apr 21, 2020 - Kumar Abhishek
Kumar Abhishek; Solanki Ankur; Manjappa Manukumara; Ramesh Sankaran; Srivastava Yogesh Kumar; Agarwal Piyush; Sum, Tze Chien; Singh Ranjan, 2020, "Replication Data for: Excitons in 2D perovskites for ultrafast terahertz photonic devices", https://doi.org/10.21979/N9/CQMJGP, DR-NTU (Data), V1, UNF:6:ZfJvc1C1T+pYrsgk29IZsg== [fileUNF]
In recent years, two-dimensional (2D) Ruddlesden-Popper perovskites have emerged as promising candidates for environmentally stable solar cells, highly efficient light-emitting diodes, and resistive memory devices. The remarkable existence of self-assembled quantum well (QW) stru...
Unknown - 1.1 MB - MD5: a739897daada3ba5d1b25ef1de53fb8d
Unknown - 1.1 MB - MD5: 611cc383e49d57340d6d53c6aab2a577
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