Metrics
1,010,894 Downloads
Contact Share

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

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.

Advanced Search

1,891 to 1,900 of 2,303 Results
Thesis Chapter 4 FID
Thesis Chapter 4 FID
May 31, 2020 - See Yang Feng Anders
See Yang Feng Anders, 2020, "Thesis Chapter 4 FID", https://doi.org/10.21979/N9/TBGBRK, DR-NTU (Data), V1
This dataset comprises of the FID files for Chapter 4 of the thesis titled "Samroiyotmycins - An Interdisciplinary Study of a Novel Anti-malarial Drug".
Thesis Chapter 3 FID
Thesis Chapter 3 FID
May 31, 2020 - See Yang Feng Anders
See Yang Feng Anders, 2020, "Thesis Chapter 3 FID", https://doi.org/10.21979/N9/JL3BVM, DR-NTU (Data), V1
This dataset comprises of the FID files for chapter 3 of the thesis titled "Samroiyotmycins - An Interdisciplinary Study of a Novel Anti-malarial Drug".
Thesis Chapter 2 FID
Thesis Chapter 2 FID
May 31, 2020 - See Yang Feng Anders
See Yang Feng Anders, 2020, "Thesis Chapter 2 FID", https://doi.org/10.21979/N9/VBSJX3, DR-NTU (Data), V1
This dataset comprises of the FID files for chapter 2 of the thesis titled "Samroiyotmycins - An Interdisciplinary Study of a Novel Anti-malarial Drug".
Replication Data for: Holism and pro-environmental commitment: An examination on the mediating roles of affective and cognitive determinants
May 29, 2020 - Kenichi Ito
Ito, Kenichi, 2020, "Replication Data for: Holism and pro-environmental commitment: An examination on the mediating roles of affective and cognitive determinants", https://doi.org/10.21979/N9/6BOB87, DR-NTU (Data), V1, UNF:6:P4Zfi9gsOk44NeUK8OMhrw== [fileUNF]
To advance the understanding of great individual variations in pro-environmental tendencies, the current research examined the role of holistic versus analytic thinking, which is non-specific to environmental issues, and explored the underlying mechanisms via both affective and c...
Replication Data for: Why do cosmopolitan individuals tend to be more pro-environmentally committed?
May 29, 2020 - Kenichi Ito
Ito, Kenichi, 2020, "Replication Data for: Why do cosmopolitan individuals tend to be more pro-environmentally committed?", https://doi.org/10.21979/N9/Z3BMQY, DR-NTU (Data), V1, UNF:6:VlZqpXG2tuqptDCp0t6CEw== [fileUNF]
Past research offered evidence that cosmopolitan individuals behave more pro-environmentally. The current study systematically examined two mechanisms explaining why. One the one hand, cosmopolitan individuals acquire knowledge about global challenges concerning environmental cri...
Normative data
May 29, 2020 - Ability Data
Phyllis, Liang; Kwong, Wai Hang; Ananda, Sidarta; Yap, Choon Kong; Ang, Wei Tech, 2020, "Normative data", https://doi.org/10.21979/N9/7VF22X, DR-NTU (Data), V2
Trials data for normative subjects.
SD-WACCM-X_v1
May 29, 2020 - SD-WACCM-X Processed Data
Naren Athreyas, Kashyapa Bramha, 2020, "SD-WACCM-X_v1", https://doi.org/10.21979/N9/VMSWIV, DR-NTU (Data), V1
This provides processed zonal mean variables fields from SD-WACCM-X version 1 data.
Replication Data for: Universal spray-deposition process for scalable, high performance and stable organic electrochemical transistors
May 28, 2020 - WU Xihu
Xihu Wu; Abhijith Surendran; Maximilian Moser; Shuai Chen; Bening Tirta Muhammad; Iuliana Petruta Maria; Iain McCulloch; Wei Lin Leong, 2020, "Replication Data for: Universal spray-deposition process for scalable, high performance and stable organic electrochemical transistors", https://doi.org/10.21979/N9/VXTFZ6, DR-NTU (Data), V1
This dataset contain the raw data of the publication.
Replication Data for: Ionic-Liquid Doping Enables High Transconductance, Fast Response Time, and High Ion Sensitivity in Organic Electrochemical Transistors
May 28, 2020 - WU Xihu
Xihu Wu; Abhijith Surendran; Jieun Ko; Oliver Filonik; Eva M. Herzig; Peter Müller‐Buschbaum; Wei Lin Leong, 2020, "Replication Data for: Ionic-Liquid Doping Enables High Transconductance, Fast Response Time, and High Ion Sensitivity in Organic Electrochemical Transistors", https://doi.org/10.21979/N9/KFBGNX, DR-NTU (Data), V1
This dataset contain the raw data fo the publication.
Replication Data for: Towards Automated Verification of Smart Contract Fairness
May 27, 2020 - Software Reliability and Security Lab
Liu, Ye; Li, Yi; Lin, Shang-Wei, 2020, "Replication Data for: Towards Automated Verification of Smart Contract Fairness", https://doi.org/10.21979/N9/0BEVRT, DR-NTU (Data), V1
Software artifacts created for the paper titled "Towards Automated Verification of Smart Contract Fairness" accepted at FSE'20.
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.