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DR-NTU (Data) (Nanyang Technological University)
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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.

According to the NTU Research Data Policy, the final research data from projects carried out at NTU shall be made available for sharing - via DR-NTU (Data) - unless there are prior formal agreements with external collaborators and parties on non-disclosure or proprietary use of the data.

Contact Research Data Management team, NTU Library if you need assistance or encounter issue in depositing your data.


DR-NTU (Data) Mission

DR-NTU (Data) curates, stores, preserves, makes available and enables the download of digital data generated by the NTU research community in various disciplines. 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.


Deposit and publish data in DR-NTU (Data)

DR-NTU (Data) is open to NTU faculty, research staff and students.
Prior to deposit, familiarise yourself with DR-NTU (Data) Terms of Use, Restrictions and Licenses, and FAQs. The uploaded content must not infringe upon the copyrights or other intellectual property rights, not violate any laws, not contain software viruses, and must be void of all identifiable information.

To get started, ensure that you have an account, then:

  1. Use the search box below to identify a suitable school/institute/research centre dataverse.
    If you can’t find a suitable school/institute/research centre dataverse, please contact Research Data Management team, NTU Library.
  2. For faculty, click 'Add Data' and select 'New Dataverse' to create your researcher/project dataverse if you don't have one yet.
    Once you have your own dataverse, you can start adding datasets to it, by clicking ‘Add Data’ and select ‘New Dataset’.
    For research staff and students, you may want to deposit your datasets in an appropriate dataverse as advised by your School, Supervisors or Principal Investigators.

How-to Videos

  1. How to create an account in DR-NTU (Data)
  2. How to create a sub-dataverse
  3. How to create a dataset record
  4. How to upload data files in a dataset record

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Advanced Search

1 to 10 of 1,261 Results
To Develop Tonal Structure Analytical Software to Assist Students’ Learning of Tonal Design
Aug 2, 2021 - Ng Woon Lam
Ng, Woon Lam, 2021, "To Develop Tonal Structure Analytical Software to Assist Students’ Learning of Tonal Design", https://doi.org/10.21979/N9/33P0GP, DR-NTU (Data), V1
Tone or value refers to the measurement of the relative darkness or lightness in visual art. It is based on Ross’ definition with a scale from 1 to 9, with 1 as the lightest and 9 as the darkest; whereas, the Munsell scale is reversed and uses a scale of 0 to 10. Various art form...
Ng Woon Lam(Nanyang Technological University)
Ng Woon Lam logo
Aug 2, 2021School of Art, Design and Media (ADM)
Appointment: Associate Professor Research topics: His research interests include areas in Art Education, Scientific study of art materials, Oriental Art History and Culture, South East Asia Art, Classical Painting language in Contemporary Art and Digital Animation, Digital Painti...
Adjoint-state traveltime tomography software package (Trainning version)
Jul 30, 2021 - Tong Ping
Tong, Ping, 2021, "Adjoint-state traveltime tomography software package (Trainning version)", https://doi.org/10.21979/N9/YPGQRF, DR-NTU (Data), V1
The source code for adjoint-state traveltime tomography (ATT). This simple version is mainly for training purpose. The details of the algorithm can be found at Tong, P., 2021. Adjoint‐state traveltime tomography: Eikonal equation‐based methods and application to the Anza area in...
SynLiDAR dataset
Jul 28, 2021 - SynLiDAR
Lu, Shijian; Xiao, Aoran, 2021, "SynLiDAR dataset", https://doi.org/10.21979/N9/BSKUOE, DR-NTU (Data), V1
This dataset includes raw point cloud sequences with point-wise annotations of SynLiDAR.
SynLiDAR(Nanyang Technological University)
Jul 28, 2021Singtel Cognitive and Artificial Intelligence Lab for Enterprises (SCALE@NTU)
Plasmodium falciparum Replication factor C 1 is involved in genotoxic stress response
Plasmodium falciparum Replication factor C 1 is involved in genotoxic stress response
Jul 28, 2021 - Omar Sheriff
Sheriff, Omar, 2021, "Plasmodium falciparum Replication factor C 1 is involved in genotoxic stress response", https://doi.org/10.21979/N9/SRXYUZ, DR-NTU (Data), V1, UNF:6:uq0oSqSaLNW+hDQzSHo//A== [fileUNF]
data related to the article "Plasmodium falciparum Replication factor C 1 is involved in genotoxic stress response"
Omar Sheriff(Nanyang Technological University)
Jul 28, 2021School of Biological Sciences (SBS)
Appointment: Research Fellow
The first year of the Covid-19 pandemic through the lens of r/Coronavirus subreddit: An exploratory study
Jul 27, 2021 - Final Year Projects
Tan, Meng Jie Zachary, 2021, "The first year of the Covid-19 pandemic through the lens of r/Coronavirus subreddit: An exploratory study", https://doi.org/10.21979/N9/0LGZYN, DR-NTU (Data), V1
The dataset complements the following study: This study looks at the content on Reddit’s COVID-19 community, r/Coronavirus, to capture and understand the main themes and discussions around the global pandemic, and their evolution, over the first year. It is based on 356,690 submi...
Nature-Based Solution for Flood Risk Reduction(Nanyang Technological University)
Nature-Based Solution for Flood Risk Reduction logo
Jul 24, 2021David Lallemant
Flooding is the most frequent and damaging natural hazard globally. While nature-based solutions can reduce flood risk, they are not part of mainstream risk management. We develop a probabilistic risk analysis framework to quantify these benefits that i) accounts for frequent sma...
Informatics for Equitable Recovery(Nanyang Technological University)
Informatics for Equitable Recovery logo
Jul 24, 2021David Lallemant
Informatics for Equitable Recovery is a transdisciplinary research project that brings together data scientists, engineers, social scientists and civic organizations to improve post-disaster information systems and decision support tools. Example use cases for these information s...
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