Metrics
1,067,526 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

1,691 to 1,700 of 2,385 Results
Recorded google speech dataset
May 22, 2021 - PhyAug
Luo, Wenjie, 2021, "Recorded google speech dataset", https://doi.org/10.21979/N9/1IM0MD, DR-NTU (Data), V3
This dataset contains following items: 1) recorded google speech test dataset by 5 microphones as described in paper 2) recorded corresponding white noise by microphones 3) re-trained model used for evaluation in paer
Recorded Librispeech test dataset
May 22, 2021 - PhyAug
Luo, Wenjie, 2021, "Recorded Librispeech test dataset", https://doi.org/10.21979/N9/A6SC66, DR-NTU (Data), V5
Recorded Librispeech "test_clean" data from 5 microphones and pretrained ASR models
Identities and opportunities: A study of "amateur" and "professional" identities among people pursuing games-related careers in Singapore
Identities and opportunities: A study of "amateur" and "professional" identities among people pursuing games-related careers in Singapore
May 21, 2021 - James Patrick Williams
Williams, Patrick; Chua, Puay Ru, 2021, "Identities and opportunities: A study of "amateur" and "professional" identities among people pursuing games-related careers in Singapore", https://doi.org/10.21979/N9/33FKM6, DR-NTU (Data), V2
Interviews with people pursuing games-related careers in Singapore during 2019-2020.
National Service Memes: Affective Resources for Meaning-making and Coping with Conscription in Singapore
National Service Memes: Affective Resources for Meaning-making and Coping with Conscription in Singapore
May 21, 2021 - James Patrick Williams
Samuel Judah Lim Kye, 2021, "National Service Memes: Affective Resources for Meaning-making and Coping with Conscription in Singapore", https://doi.org/10.21979/N9/CIPXVV, DR-NTU (Data), V2
Interviews with individuals who produce, consume, share NSMemes
Replication Data for: Development of a Simplified Portion Size Selection Task
May 18, 2021 - Bobby K. Cheon
Cheon, Bobby Kyungbeom; Elizabeth, Pink Aimee, 2021, "Replication Data for: Development of a Simplified Portion Size Selection Task", https://doi.org/10.21979/N9/JVOO9A, DR-NTU (Data), V1, UNF:6:UKbZo+Bxpz4N/UL6QXRnew== [fileUNF]
Dataset and data dictionary corresponding to the research described in the article: "Development of a Simplified Portion Size Selection Task."
Decollement model
Decollement model
May 14, 2021 - Bangladesh decollement
Burgi, Paula, 2020, "Decollement model", https://doi.org/10.21979/N9/Y8GK3G, DR-NTU (Data), V2
Geotiff containing the décollement geometry in depth (km). Regions where the geometry is unconstrained have a value of -99. Datum is WGS 1984, locations given in degrees latitude/longitude. Generated in Matlab, can be opened in other softwares including ArcGIS.
Replication Data for: An fNIRS Investigation of Masculinity, Femininity, and Sex on Nonparents’ Empathic Response to Infant Cries
May 8, 2021 - Social and Affective Neuroscience
Gabrieli, Giulio; Ng, Xinyao; Esposito, Gianluca, 2021, "Replication Data for: An fNIRS Investigation of Masculinity, Femininity, and Sex on Nonparents’ Empathic Response to Infant Cries", https://doi.org/10.21979/N9/SWQK3O, DR-NTU (Data), V2, UNF:6:rUfnj7R6fcdEChQvzE36MA== [fileUNF]
According to societal stereotypes, the female sex and people who are more feminine have been considered to be more empathic than males and people who are more masculine. Therefore, females and feminine individuals are expected to respond more empathically to an infant’s cries. Wh...
MRI Space Mission: A Stepwise Paediatric MRI Training Protocol for Young Children
May 6, 2021 - Reading Brains
Wu, Chiao-Yi; Teo, Jia Li; Yap, Michelle Li-Mei; Lin, Hsin-Yu; Yeo, Marilyn Cai Ling; Chia, Phoebe Si Qi; Vinas Guasch, Nestor; Chen, S. H. Annabel, 2021, "MRI Space Mission: A Stepwise Paediatric MRI Training Protocol for Young Children", https://doi.org/10.21979/N9/QCVEGB, DR-NTU (Data), V1
The MRI Space Mission is a child-centred, stepwise paediatric MRI training protocol for young children. The protocol consists of a series of mini-activities that are designed to familiarize young children with the MRI scanner and scanning procedures. Children will be introduced t...
Replication Data for: Observation of interacting polaronic gas behavior in Ta-doped TiO2 thin films via terahertz time-domain spectroscopy
Apr 30, 2021 - Daming Zhao
Cheng, Liang; Sarkar, Tarapada; Lourembam, James; Tutchton, Roxanne; Motapathula, M.; Zhao, Daming; Zhu, Jian-Xin; Venkatesan, Thirumalai; Chia, Elbert E. M., 2021, "Replication Data for: Observation of interacting polaronic gas behavior in Ta-doped TiO2 thin films via terahertz time-domain spectroscopy", https://doi.org/10.21979/N9/Y5CBHU, DR-NTU (Data), V1
Replication data for this paper published in Appl. Phys. Lett. including raw data, processed data and figures. DOI: 10.1063/5.0022775
Crawled Data for: Open Source Cyber Incidents Intelligence Gathering
Apr 28, 2021 - Final Year Projects
Tiong, Jun Hua Ryan, 2021, "Crawled Data for: Open Source Cyber Incidents Intelligence Gathering", https://doi.org/10.21979/N9/8OTEZX, DR-NTU (Data), V2, UNF:6:iPWj/OQ9OrMtgvwfypC1rg== [fileUNF]
As Theodore Roosevelt said, “The more you know about the past, the better prepared you are for the future.”. This quote cannot be more true in the realm of predictive analysis. Data about the past can be modelled on variables to explore relationships and predict future outcomes w...
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.