DR-NTU (Data)

Metrics

988,939 Downloads

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

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

53,941 to 53,950 of 73,632 Results

Replication Data for: Enhancing the Electrochemical Doping Efficiency in Diketopyrrolopyrrole-Based Polymer for Organic Electrochemical Transistors Feb 3, 2021 - WU Xihu Wu, Xihu, 2021, "Replication Data for: Enhancing the Electrochemical Doping Efficiency in Diketopyrrolopyrrole-Based Polymer for Organic Electrochemical Transistors", https://doi.org/10.21979/N9/MVAOOB, DR-NTU (Data), V1 This dataset contains the raw data for the
Figures_Raw Data_Enhancing doping efficiency for OECTs_ Adv. Electro.Mat..pptx Feb 3, 2021 - Replication Data for: Enhancing the Electrochemical Doping Efficiency in Diketopyrrolopyrrole-Based Polymer for Organic Electrochemical Transistors MS Powerpoint - 7.8 MB - MD5: 9366e56d8963d7b3e711c5a6130cd91a
Replication Data for: Self-Healable Organic Electrochemical Transistor with High Transconductance, Fast Response, and Long-Term Stability Feb 2, 2021 - WU Xihu Wu, Xihu, 2021, "Replication Data for: Self-Healable Organic Electrochemical Transistor with High Transconductance, Fast Response, and Long-Term Stability", https://doi.org/10.21979/N9/VM8CIT, DR-NTU (Data), V1 This dataset contains the raw data of the publication.
Figures_Raw Data_Self-healable OECT _ACS AMI.pptx Feb 2, 2021 - Replication Data for: Self-Healable Organic Electrochemical Transistor with High Transconductance, Fast Response, and Long-Term Stability MS Powerpoint - 90.4 MB - MD5: c072718fbaeeacf43cd38618c033e573
Image reconstruction through a multimode fiber with a simple neural network architecture Feb 1, 2021 - Image reconstruction through a multimode fiber with a simple neural network architecture Chan, Eng Aik; Zhu, Changyan; Wang, You; Peng, Weina; Guo, Ruixiang; Zhang, Baile; Soci, Cesare; Chong, Yidong, 2021, "Image reconstruction through a multimode fiber with a simple neural network architecture", https://doi.org/10.21979/N9/SUTZX9, DR-NTU (Data), V1 This package contains the experimental dataset for Zhu et. al, Scientific Reports 11, 896 (2021) "Image reconstruction through a multimode fiber with a simple neural network architecture".
Dat_labels.dat Feb 1, 2021 - Image reconstruction through a multimode fiber with a simple neural network architecture Fixed Field Text Data - 2.1 MB - MD5: 760cf014318c057a1fd77a1454712883
Dat_scrambled_A.dat Feb 1, 2021 - Image reconstruction through a multimode fiber with a simple neural network architecture Fixed Field Text Data - 312.5 MB - MD5: 3e1afec8c34d7937398a2920625e4166
Dat_scrambled_Ba.dat Feb 1, 2021 - Image reconstruction through a multimode fiber with a simple neural network architecture Fixed Field Text Data - 312.5 MB - MD5: f672fab7f99a3824b1ca70eef368aeb9
Dat_scrambled_Bb.dat Feb 1, 2021 - Image reconstruction through a multimode fiber with a simple neural network architecture Fixed Field Text Data - 312.5 MB - MD5: f20ac7293e85b7153549fdfefb4bf19b
Dat_scrambled_Bc.dat Feb 1, 2021 - Image reconstruction through a multimode fiber with a simple neural network architecture Fixed Field Text Data - 312.5 MB - MD5: 68092d687001964bf163e8b26497f530

Replication Data for: Enhancing the Electrochemical Doping Efficiency in Diketopyrrolopyrrole-Based Polymer for Organic Electrochemical Transistors

Feb 3, 2021 - WU Xihu

Wu, Xihu, 2021, "Replication Data for: Enhancing the Electrochemical Doping Efficiency in Diketopyrrolopyrrole-Based Polymer for Organic Electrochemical Transistors", https://doi.org/10.21979/N9/MVAOOB, DR-NTU (Data), V1

This dataset contains the raw data for the

Figures_Raw Data_Enhancing doping efficiency for OECTs_ Adv. Electro.Mat..pptx

Feb 3, 2021 - Replication Data for: Enhancing the Electrochemical Doping Efficiency in Diketopyrrolopyrrole-Based Polymer for Organic Electrochemical Transistors

MS Powerpoint - 7.8 MB -

Replication Data for: Self-Healable Organic Electrochemical Transistor with High Transconductance, Fast Response, and Long-Term Stability

Feb 2, 2021 - WU Xihu

Wu, Xihu, 2021, "Replication Data for: Self-Healable Organic Electrochemical Transistor with High Transconductance, Fast Response, and Long-Term Stability", https://doi.org/10.21979/N9/VM8CIT, DR-NTU (Data), V1

This dataset contains the raw data of the publication.

Figures_Raw Data_Self-healable OECT _ACS AMI.pptx

Feb 2, 2021 - Replication Data for: Self-Healable Organic Electrochemical Transistor with High Transconductance, Fast Response, and Long-Term Stability

MS Powerpoint - 90.4 MB -

Image reconstruction through a multimode fiber with a simple neural network architecture

Feb 1, 2021 - Image reconstruction through a multimode fiber with a simple neural network architecture

Chan, Eng Aik; Zhu, Changyan; Wang, You; Peng, Weina; Guo, Ruixiang; Zhang, Baile; Soci, Cesare; Chong, Yidong, 2021, "Image reconstruction through a multimode fiber with a simple neural network architecture", https://doi.org/10.21979/N9/SUTZX9, DR-NTU (Data), V1

This package contains the experimental dataset for Zhu et. al, Scientific Reports 11, 896 (2021) "Image reconstruction through a multimode fiber with a simple neural network architecture".

Dat_labels.dat

Feb 1, 2021 - Image reconstruction through a multimode fiber with a simple neural network architecture

Fixed Field Text Data - 2.1 MB -

Dat_scrambled_A.dat

Feb 1, 2021 - Image reconstruction through a multimode fiber with a simple neural network architecture

Fixed Field Text Data - 312.5 MB -

Dat_scrambled_Ba.dat

Feb 1, 2021 - Image reconstruction through a multimode fiber with a simple neural network architecture

Fixed Field Text Data - 312.5 MB -

Dat_scrambled_Bb.dat

Feb 1, 2021 - Image reconstruction through a multimode fiber with a simple neural network architecture

Fixed Field Text Data - 312.5 MB -

Dat_scrambled_Bc.dat

Feb 1, 2021 - Image reconstruction through a multimode fiber with a simple neural network architecture

Fixed Field Text Data - 312.5 MB -

Add Data

Share Dataverse

Link Dataverse

Reset Modifications