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)

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70,481 to 70,490 of 72,668 Results

MASTER_dipslip_inversion.m Jul 2, 2019 - 2d modeling code for MIBB transects Unknown - 6.2 KB - MD5: f047c2be2e62f887caf28167b6683a67
plot_joint_post_pdf.m Jul 2, 2019 - 2d modeling code for MIBB transects Unknown - 1.7 KB - MD5: cd41da0f168ff8d46bfc75aa664e9c26
shallow_creep_CMF.m Jul 2, 2019 - 2d modeling code for MIBB transects Unknown - 5.4 KB - MD5: fc0e0794f560014ace5035ccb53d28b3
Related Data for: Polymer/Graphene Composite With Ultrahigh Carrier Mobility Jun 28, 2019 - charge carrier mobility Hao, Wei, 2019, "Related Data for: Polymer/Graphene Composite With Ultrahigh Carrier Mobility", https://doi.org/10.21979/N9/H5EF7T, DR-NTU (Data), V1 This dataset contains the atomic models of Polymer/Graphene Composite and the related simulation results of the charge carrier mobility.
1dcp-layer-on-Gr.xyz Jun 28, 2019 - Related Data for: Polymer/Graphene Composite With Ultrahigh Carrier Mobility Co-Ordinate Animation - 6.6 KB - MD5: d2af6ace15453b4c8e03112a36de0b58 the atomic structure of DCP monolayer on graphene
2dcp-layer-on-Gr.xyz Jun 28, 2019 - Related Data for: Polymer/Graphene Composite With Ultrahigh Carrier Mobility Co-Ordinate Animation - 9.7 KB - MD5: f95e8c006f49e8cf5ee658cf1ec24c14 the atomic structure of DCP bilayer on graphene
couplings.opj Jun 28, 2019 - Related Data for: Polymer/Graphene Composite With Ultrahigh Carrier Mobility Unknown - 44.8 KB - MD5: f8353aba1269998d1caf3823a25b51eb the electronic couplings between DCP 1 in first layer and DCP 2 in second layer
couplings-hBN.opj Jun 28, 2019 - Related Data for: Polymer/Graphene Composite With Ultrahigh Carrier Mobility Unknown - 45.0 KB - MD5: 6b46bad97aae90a0d4a381a6d60fb073 the electronic couplings between dcp molecules on hBN
Replication Data for: Quantitative Prediction of Position and Orientation for Platonic Nanoparticles at Liquid/Liquid Interfaces Jun 28, 2019 - nanoparticles superlattice Shi Wenxiong, 2019, "Replication Data for: Quantitative Prediction of Position and Orientation for Platonic Nanoparticles at Liquid/Liquid Interfaces", https://doi.org/10.21979/N9/4OC5RI, DR-NTU (Data), V1 Because of their intrinsic geometric structure of vertices, edges, and facets, Platonic nanoparticles are promising materials in plasmonics and biosensing. Their position and orientation often play a crucial role in determining the resultant assembly structures at a liquid/liquid...
Figure3a1inset.gro Jun 28, 2019 - Replication Data for: Quantitative Prediction of Position and Orientation for Platonic Nanoparticles at Liquid/Liquid Interfaces Unknown - 115.5 KB - MD5: c44e44b6f3bf539808f0ef19456d30ea

MASTER_dipslip_inversion.m

Jul 2, 2019 - 2d modeling code for MIBB transects

Unknown - 6.2 KB -

plot_joint_post_pdf.m

Jul 2, 2019 - 2d modeling code for MIBB transects

Unknown - 1.7 KB -

shallow_creep_CMF.m

Jul 2, 2019 - 2d modeling code for MIBB transects

Unknown - 5.4 KB -

Related Data for: Polymer/Graphene Composite With Ultrahigh Carrier Mobility

Jun 28, 2019 - charge carrier mobility

Hao, Wei, 2019, "Related Data for: Polymer/Graphene Composite With Ultrahigh Carrier Mobility", https://doi.org/10.21979/N9/H5EF7T, DR-NTU (Data), V1

This dataset contains the atomic models of Polymer/Graphene Composite and the related simulation results of the charge carrier mobility.

1dcp-layer-on-Gr.xyz

Jun 28, 2019 - Related Data for: Polymer/Graphene Composite With Ultrahigh Carrier Mobility

Co-Ordinate Animation - 6.6 KB -

the atomic structure of DCP monolayer on graphene

2dcp-layer-on-Gr.xyz

Jun 28, 2019 - Related Data for: Polymer/Graphene Composite With Ultrahigh Carrier Mobility

Co-Ordinate Animation - 9.7 KB -

the atomic structure of DCP bilayer on graphene

couplings.opj

Jun 28, 2019 - Related Data for: Polymer/Graphene Composite With Ultrahigh Carrier Mobility

Unknown - 44.8 KB -

the electronic couplings between DCP 1 in first layer and DCP 2 in second layer

couplings-hBN.opj

Jun 28, 2019 - Related Data for: Polymer/Graphene Composite With Ultrahigh Carrier Mobility

Unknown - 45.0 KB -

the electronic couplings between dcp molecules on hBN

Replication Data for: Quantitative Prediction of Position and Orientation for Platonic Nanoparticles at Liquid/Liquid Interfaces

Jun 28, 2019 - nanoparticles superlattice

Shi Wenxiong, 2019, "Replication Data for: Quantitative Prediction of Position and Orientation for Platonic Nanoparticles at Liquid/Liquid Interfaces", https://doi.org/10.21979/N9/4OC5RI, DR-NTU (Data), V1

Because of their intrinsic geometric structure of vertices, edges, and facets, Platonic nanoparticles are promising materials in plasmonics and biosensing. Their position and orientation often play a crucial role in determining the resultant assembly structures at a liquid/liquid...

Figure3a1inset.gro

Jun 28, 2019 - Replication Data for: Quantitative Prediction of Position and Orientation for Platonic Nanoparticles at Liquid/Liquid Interfaces

Unknown - 115.5 KB -

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