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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.


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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.

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  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.
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    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.

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1 to 10 of 1,070 Results
Feb 27, 2021 - Social and Affective Neuroscience
Esposito, Gianluca; Carollo, Alessandro; Bonassi, Andrea; Gabrieli, Giulio, 2021, "Related Data for: Modulation of Instagram Number of Followings by Avoidance in Close Relationships in Young Adults Under a Gene x Environment Perspective", https://doi.org/10.21979/N9/FRFMXV, DR-NTU (Data), V1, UNF:6:GM0KDQjT5c8SfTCrVxqA6w== [fileUNF]
The advent of Social Networking Sites (SNSs) has determined radical changes in human social life, demanding to deepen investigations on the mechanisms underlying socialization processes on online platforms. The knowledge acquired from previous studies on in-person sociability cou...
Feb 26, 2021 - Karanjot Singh
Karanjot Singh, 2019, "Replication data for: Battery Resistance Degradation Framework validation", https://doi.org/10.21979/N9/QJWIV9, DR-NTU (Data), V5
Matlab files for battery resistance degradation validation.
Feb 26, 2021 - Tong Ping
Tong, Ping, 2021, "Replication Data for: New insights into the structural heterogeneity and geodynamics of the Indo-Burma subduction zone from ambient noise tomography", https://doi.org/10.21979/N9/OTNAWV, DR-NTU (Data), V1
Ambient Noise Cross-correlation and Shear Wave Velocity Model
Feb 26, 2021 - Social and Affective Neuroscience
Gabrieli, Giulio; Goh, Raphael Yu Le; Carollo, Alessandro; Esposito, Gianluca, 2020, "Replication Data for: Campaign trail cliche: an analysis of U.S. politicians photo-taking behavior with children", https://doi.org/10.21979/N9/VQBCUD, DR-NTU (Data), V2, UNF:6:3MdU3LezXinKtmbkxHnf5A== [fileUNF]
This dataset contains coded information about all the images of presidential candidates published in the New York Times in the six months preceding each presidential election between 1908 and 2020. It also allows for the replication of the analysis conducted for the manuscript "C...
Feb 26, 2021 - Martianus Frederic Ezerman
Ezerman, Martianus Frederic, 2021, "Replication Data for: Holographic Image Sensing", https://doi.org/10.21979/N9/V9AVLN, DR-NTU (Data), V1
Simulation results for various parameters, and analysis results, including some recovered images, presented in the manuscript "Holographic Image Sensing'' The software is available publicly at: https://github.com/adamasstokhorst/holographic
Feb 25, 2021 - Long-lived slow-slip events
Mallick, Rishav, 2021, "MLKN position timeseries", https://doi.org/10.21979/N9/LMK36Z, DR-NTU (Data), V1
Timeseries of MLKN GPS station in rneu format. The header of the .dat file contains all the information needed to ingest the data.
Feb 25, 2021 - Long-lived slow-slip events
Mallick, Rishav, 2021, "Code for inverse method", https://doi.org/10.21979/N9/RFCE1O, DR-NTU (Data), V1
Code to reproduce inverse modelling results in the paper. There are 2 folders 1 - Compute velocities - Scripts in this folder are used to compute coral site velocities and test different hypotheses about how to best describe the timeseries 2 - Inverse models - nonlinear inverse m...
Feb 25, 2021 - Long-lived slow-slip events
Mallick, Rishav, 2021, "Numerical model of slow-slip event", https://doi.org/10.21979/N9/ZLMWRW, DR-NTU (Data), V1
MATLAB scripts to generate an SSE due to coupled pore-fluid pressure and frictional strength evolution. This requires the unicycle library - https://github.com/jdpmoore/unicycle
Long-lived slow-slip events(Nanyang Technological University)
Feb 25, 2021Rishav Mallick
This dataverse contains the data and code to reproduce the results of the journal article - Mallick et al., Long-lived slow-slip events on the Sunda megathrust, 2021, Nature Geoscience
Rishav Mallick(Nanyang Technological University)
Rishav Mallick logo
Feb 25, 2021Earth Observatory of Singapore (EOS)
Appointment: PhD Student This dataverse contains sub-dataverses of projects that I undertook as a graduate student at EOS, NTU from 2016-2021. For more information about my work please visit my website
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