DR-NTU (Data)

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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

FAIR Datasets

NIE Data Repository (Harvested)

Asian School of the Environment (ASE)

College of Computing and Data Science (CCDS)

Earth Observatory of Singapore (EOS)

Graduate College

Lee Kong Chian School of Medicine

Nanyang Business School (NBS)

School of Art, Design and Media (ADM)

School of Biological Sciences (SBS)

School of Chemistry, Chemical Engineering and Biotechnology (CCEB)

School of Civil and Environmental Engineering (CEE)

School of Electrical and Electronic Engineering (EEE)

School of Humanities

School of Materials Science and Engineering (MSE)

School of Mechanical and Aerospace Engineering (MAE)

School of Physical and Mathematical Sciences (SPMS)

School of Social Sciences (SSS)

S. Rajaratnam School of International Studies

Wee Kim Wee School of Communication and Information (WKWSCI)

Featured Dataverses

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69,871 to 69,880 of 71,772 Results

MIBB_revision_strain_cmfcon.command May 31, 2019 - Block Model runs Unknown - 1.6 KB - MD5: 8994aa2817e111ecad3a4f2dd50d677c
MIBB_revision_strain_cmfcon.command May 31, 2019 - Block Model runs Unknown - 1.6 KB - MD5: ab52ef98f076e0fb7214a37fbf7fff90
MIBB_revision_strain_cmfcon.command May 31, 2019 - Block Model runs Unknown - 1.6 KB - MD5: 204c4aa83dcb50a8361a1a53e3a6042a
MIBB_revision_strain_cmfcon.command May 31, 2019 - Block Model runs Unknown - 1.6 KB - MD5: d5caccf8e41acb13a58f45f95c4f8549
MIBB_revision_strain_cmfcon.command May 31, 2019 - Block Model runs Unknown - 1.6 KB - MD5: 68625fc77607d1d3e1d32e44458056c6
MIBB_revision_strain_cmfcon.command May 31, 2019 - Block Model runs Unknown - 1.6 KB - MD5: a2c15dda37a0624f03b478f37149214a
MIBB_revision_strain_cmfcon.command May 31, 2019 - Block Model runs Unknown - 1.6 KB - MD5: 4e99934d7bca765cb311978cff2ce398
MIBB_revision_strain_cmfcon.command May 31, 2019 - Block Model runs Unknown - 1.6 KB - MD5: efef7d98e7a626d65979a22f44101bb3
MIBB_revision_strain_cmfcon.command May 31, 2019 - Block Model runs Unknown - 1.6 KB - MD5: 00df78ff4c7a516b9a16a353b882e62d
MIBB_revision_strain_cmfcon.command May 31, 2019 - Block Model runs Unknown - 1.6 KB - MD5: ad3c555cfb92b994ff902a745989b4e5