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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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70,921 to 70,930 of 73,600 Results
Dong Zhili(Nanyang Technological University)
Dong Zhili logo
Jul 26, 2019School of Materials Science and Engineering (MSE)
Research topics: • open-framework materials • nanostructured functional materials • advanced coatings • materials synthesis
Marius Erdt(Nanyang Technological University)
Marius Erdt logo
Jul 25, 2019Fraunhofer IDM@NTU
Research topics: Statistical Shape Modeling, Artificial Intelligence in Image Analysis, Computer Aided Diagnosis, Automated Segmentation and Registration of 2D and 3D data, Volume Rendering and Visualisation, Automated Image based Quality Control, Machine Learning for Visual and...
YEO Swee Hock(Nanyang Technological University)
YEO Swee Hock logo
Jul 25, 2019School of Mechanical and Aerospace Engineering (MAE)
Fraunhofer IDM@NTU(Nanyang Technological University)
Fraunhofer IDM@NTU logo
Jul 25, 2019
This dataverse is a collection of the Fraunhofer IDM@NTU’s research data.
Ageing Research Institute for Society and Education (ARISE) logo
Jul 19, 2019
This dataverse is a collection of the Ageing Research Institute for Society and Education (ARISE)’s research data.
Jul 18, 2019 - Charles Or
Or, Charles, 2019, "Replication Data for: The contribution of color information to rapid face categorization in natural scenes", https://doi.org/10.21979/N9/HD7QEF, DR-NTU (Data), V2
The contribution of color information to rapid face categorization in natural scenes
application/x-font-bdf - 177.0 MB - MD5: 0d475433da694e7f14321fb63d616217
application/x-font-bdf - 159.2 MB - MD5: cc9b748c441f14874c36ed3ba1a95201
application/x-font-bdf - 169.2 MB - MD5: 961cc86acaaac54cea88ff65682cbaf8
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