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

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66,041 to 66,050 of 72,597 Results
May 4, 2020 - Kumar Abhishek
Kumar Abhishek; Priyadarshi Anish; Shukla Sudhanshu; Manjappa Manukumara; Lew Jia Haur; Subodh G. Mhaisalkar; Ranjan Singh, 2020, "Replication Data for: Ultrafast THz photophysics of solvent engineered triple-cation halide perovskites", https://doi.org/10.21979/N9/8LJCM3, DR-NTU (Data), V1
Solution processed thin film organic-inorganic perovskites are key to the large scale manufacturing of next generation wafer scale solar cell devices. The high efficiency of the hybrid perovskite solar cells is derived mainly from the large carrier mobility and the charge dynamic...
May 4, 2020 - Manoj GUPTA
Gupta, Manoj; Srivastava, Yogesh Kumar; Manjappa, Manukumara; Singh, Ranjan, 2020, "Replication Data for: Sensing with toroidal metamaterial", https://doi.org/10.21979/N9/UOBJPK, DR-NTU (Data), V1
Localized electromagnetic excitation in the form of toroidal dipoles has recently been observed in metamaterial systems. The origin of the toroidal dipole lies in the currents flowing on the surface of a torus. Thus, the exotic toroidal excitations play an important role in deter...
Unknown - 116.0 KB - MD5: ba546a1a7e0519cc6ba0f55a08474628
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Unknown - 178.0 KB - MD5: 65e86587236b8ec69572385fb9b9218c
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