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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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Unknown - 195.2 KB - MD5: e5ceb452d67a22414229ac808eec8baa
Unknown - 196.7 KB - MD5: d021d6ecd42b2a5d436ade91c8285ce8
PNG Image - 255.3 KB - MD5: fe866a2d4e94adea7b6d8d8419f20af2
Adobe PDF - 623.4 KB - MD5: d418286af37f6119fce208f941bd2cf3
PNG Image - 236.0 KB - MD5: 422984e9fbdc0c557e2967b57b6996f0
Marcello Righetto(Nanyang Technological University)
Apr 2, 2020School of Physical and Mathematical Sciences (SPMS)
Apr 2, 2020 - Karen Lythgoe
Lythgoe, Karen Helen, 2020, "Replication Data for: Large-scale crustal structure beneath Singapore using receiver functions from a dense urban nodal array", https://doi.org/10.21979/N9/UW24OZ, DR-NTU (Data), V1
Node data and receiver functions to support above manuscript
Karen Lythgoe (Nanyang Technological University)
Karen Lythgoe  logo
Apr 2, 2020Earth Observatory of Singapore (EOS)
Research topics: • To focus on subsurface imaging and earthquake hazards • To use seismology to better understand Earth processes and the hazard posed from earthquakes For more information, visit webpage Receiver function data for 'Large scale crustal structure beneath Singapore'
Mar 30, 2020 - Timothy Adam Shaw
Shaw, Timothy Adam; Horton, Benjamin Peter, 2020, "Estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from expert assessment", https://doi.org/10.21979/N9/JBCF2Q, DR-NTU (Data), V1, UNF:6:gi+pBadty7560O3sZeGssg== [fileUNF]
Raw data used in compilation of the estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from expert assessment
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