Metrics
980,614 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

70,041 to 70,050 of 72,597 Results
Rayleigh_Si_stress_triangle.m
Aug 19, 2019 - Replication Data for Elastic surface wave modelling based on semi-analytical finite element method with perfectly matched layers
Plain Text - 54.4 KB - MD5: 5796dc57c139aee616af44537c09344e
code
Rayleigh_Steel_stress_cons.m
Aug 19, 2019 - Replication Data for Elastic surface wave modelling based on semi-analytical finite element method with perfectly matched layers
Plain Text - 54.2 KB - MD5: 501616ffb162ef75583d3b4097ab38b1
code
Rayleigh_Steel_stress_triangle.m
Aug 19, 2019 - Replication Data for Elastic surface wave modelling based on semi-analytical finite element method with perfectly matched layers
Plain Text - 54.4 KB - MD5: 9781cab440c760a13df60f2ee5bbc9be
code
Rayleigh_Ti_stress_cons.m
Aug 19, 2019 - Replication Data for Elastic surface wave modelling based on semi-analytical finite element method with perfectly matched layers
Plain Text - 54.2 KB - MD5: 7a1b39f29898be892043dd7c548d0f29
code
Rayleigh_Ti_stress_triangle.m
Aug 19, 2019 - Replication Data for Elastic surface wave modelling based on semi-analytical finite element method with perfectly matched layers
Plain Text - 54.4 KB - MD5: 86378188d508a878d4760e0e5391430a
code
Cyberworlds Conference 2018
Aug 19, 2019 - HOCAMOSE Project
Li, Jinhui; Mojisola Erdt; Lee, James Chong Boi; Harsha Vijaykumar; Caroline Robert; Theng, Yin-Leng, 2019, "Cyberworlds Conference 2018", https://doi.org/10.21979/N9/FBFATT, DR-NTU (Data), V1, UNF:6:c6/r1IVGzYm+tUzuLQUDgA== [fileUNF]
This dataset is for the Cyberworlds Conference 2018 paper titled "Designing a Digital Fitness Game System for Older Adults in Community Settings".
readme.docx
Aug 19, 2019 - Cyberworlds Conference 2018
MS Word - 62.9 KB - MD5: 81b072d7e7f1ba9bf582de2d122ab02d
Some brief description of the questionnaire.
Replication_Data_for Conference Paper_CW2018.tab
Aug 19, 2019 - Cyberworlds Conference 2018
Tabular Data - 557 B - 29 Variables, 8 Observations - UNF:6:c6/r1IVGzYm+tUzuLQUDgA==
Data
Replication_Data
Replication_Data set for Conference Paper_CW2018.xlsx
Aug 19, 2019 - Cyberworlds Conference 2018
MS Excel Spreadsheet - 6.9 KB - MD5: fd40ed64925f3baf9ac9ebeb1cfed2ea
Data
Replication_Data set (Excel format)
Sharing, Using and Re-Using Data in Social Neuroscience
Sharing, Using and Re-Using Data in Social Neuroscience
Aug 15, 2019 - Gianluca Esposito
Esposito, Gianluca, 2019, "Sharing, Using and Re-Using Data in Social Neuroscience", https://doi.org/10.21979/N9/STAOMJ, DR-NTU (Data), V1
Lecture slides Styles 2019 'Sharing, Using and Re-Using Data in Social Neuroscience' . Open Science: Walking the Talk" seminar, NTU Libraries, Singapore.
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.