Metrics
1,089,191 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

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

60,661 to 60,670 of 75,527 Results
Zhao-Xun LIANG(Nanyang Technological University)
Zhao-Xun LIANG logo
Aug 12, 2020School of Biological Sciences (SBS)
Research topics: • Molecular mechanism underlying bacterial pathogenesis and antibiotic resistance • Genomics-guided discovery of microbial natural products
Adobe PDF - 14.8 MB - MD5: d15f7b1de909fcfa3ab5b6ac8a7f9b2e
This paper proposes a pipeline for the automatic generation of 3D building models for city areas based on information from archived city area maps.
Python Source Code - 2.3 KB - MD5: 899dff95ff178bd0e56478e96ec8580b
application/gml+xml - 283.4 KB - MD5: 03c4ae9bb804b122e284a848474a3f09
Python Source Code - 13.4 KB - MD5: f6f9bef2cfafc1877d7f628a90d98486
Python Source Code - 6.0 KB - MD5: 54f7b072b07057bcce17d45aaafd9c50
Python Source Code - 3.2 KB - MD5: 23753b07590f0bdaffc401df32b03ab8
Add Data

Log in to create a dataverse or add a dataset.

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.