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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70,761 to 70,770 of 72,668 Results

MIBB_revision_strain_cmfcon.command May 31, 2019 - Block Model runs Unknown - 1.6 KB - MD5: 673c60c42892c6aa2f7f403ee284b5f0
MIBB_revision_strain_cmfcon.command May 31, 2019 - Block Model runs Unknown - 1.6 KB - MD5: 567040862a1eb7957edba897bd592a3d
MIBB_revision_strain_cmfcon.command May 31, 2019 - Block Model runs Unknown - 1.6 KB - MD5: 0ed02ee9babce924205126bcfcc47922
MIBB_revision_strain_cmfcon.command May 31, 2019 - Block Model runs Unknown - 1.6 KB - MD5: 0ba8d527424695297acde640a789c16f
MIBB_revision_strain_cmfcon.command May 31, 2019 - Block Model runs Unknown - 1.6 KB - MD5: d6acbea98e6e78b48366ae6aa9f72a4d
MIBB_revision_strain_cmfcon.command May 31, 2019 - Block Model runs Unknown - 1.6 KB - MD5: 2f52be136772204184aaaca271ca941a
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