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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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71,771 to 71,780 of 73,600 Results
RAR Archive - 133.9 KB - MD5: 1baafc2fbdebc3c6fc14de99d05926b8
data for supplementary Figure S8
RAR Archive - 5.0 MB - MD5: 721b16a5263115f69d0be30022e760ce
data for supplementary Figure S9
FU Jianhui(Nanyang Technological University)
FU Jianhui logo
May 31, 2019School of Physical and Mathematical Sciences (SPMS)
Research topics: • Halide Perovskites • Ultrafast Optical Spectroscopy
May 31, 2019 - Myanmar-India-Bangladesh-Bhutan GPS project data
Mallick, Rishav, 2019, "Timeseries_MIBB_stations_2011_2017", https://doi.org/10.21979/N9/VB7PLK, DR-NTU (Data), V1
Timeseries (rneu) format Position timeseries with outliers removed in ITRF08/India/Sunda reference frame (Altamimi et al., 2011;2012). Each file contains a header on how to read it. The station velocities are provided in the published paper (Mallick et al., (2019) in JGR: Solid E...
Unknown - 43.2 KB - MD5: 6890045e099e2c6ac29d3af0034ff237
Unknown - 42.8 KB - MD5: 13a552a7a163fdb2461036aecb621d96
Unknown - 43.2 KB - MD5: e20a064f382571db2c491a95cd8ea918
Unknown - 43.8 KB - MD5: a80fb5eddc3899c7ee21a988ed540522
Unknown - 106.0 KB - MD5: e8c33311f3015fa36e2378953a83ec90
Unknown - 105.6 KB - MD5: 60fa762403caed726623664075b150de
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