Metrics
981,506 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

68,641 to 68,650 of 72,597 Results
Preregistration for a comparison of two different sensory profiles for young adults in Singapore
Feb 12, 2020 - Understanding Sensation
Lim, Charmayne S; Styles, Suzy J, 2020, "Preregistration for a comparison of two different sensory profiles for young adults in Singapore", https://doi.org/10.21979/N9/MKQLDJ, DR-NTU (Data), V1
Lim CS & Styles SJ (2020) Preregistration for ‘A comparison of two different sensory profiles for young adults in Singapore’. Questions from aspredicted.org
Lim&Styles2020_Pre-Reg_TwoSensoryScales.pdf
Feb 12, 2020 - Preregistration for a comparison of two different sensory profiles for young adults in Singapore
Adobe PDF - 117.5 KB - MD5: 120eb80c3600cee6138270a0f1f1a741
Preregistration for a comparison of two sensory scales. Questions from aspredicted.org
Replication Data for: Structural controls on rupture extent of recent Sumatran Fault Zone earthquakes, Indonesia
Feb 6, 2020 - Rino Salman
Rino Salman; Eric O. Lindsey; Lujia Feng; Kyle Bradley; Shengji Wei; Teng Wang; Mudrik R. Daryono; Emma M. Hill, 2020, "Replication Data for: Structural controls on rupture extent of recent Sumatran Fault Zone earthquakes, Indonesia", https://doi.org/10.21979/N9/BDOEYS, DR-NTU (Data), V9
This repository contains the Synthetic Aperture Radar (SAR) Line-of-Sight (LOS) displacements we used to estimate coseismic slip distribution of earthquakes on the Sumatran Fault Zone: the 2007 Mw 6.3 and 6.4 Lake Singkarak doublet, the 2009 Mw 6.6 Dikit event, and the 2016 Mw 6....
downsampled_LOS_disp_Dikit_2009_earthquake_Figure_7b.txt
Feb 4, 2020 - Replication Data for: Structural controls on rupture extent of recent Sumatran Fault Zone earthquakes, Indonesia
Plain Text - 42.7 KB - MD5: facbb5922f1dd75732f8aaf3d5d0bad6
Data
downsampled_LOS_disp_Pidie_Jaya_2016_earthquake_Figure_10b.txt
Feb 4, 2020 - Replication Data for: Structural controls on rupture extent of recent Sumatran Fault Zone earthquakes, Indonesia
Plain Text - 42.0 KB - MD5: 50e807104c78ee1113587723b7f4326f
Data
downsampled_LOS_disp_Sianok_2007_earthquake_Figure_4e.txt
Feb 4, 2020 - Replication Data for: Structural controls on rupture extent of recent Sumatran Fault Zone earthquakes, Indonesia
Plain Text - 73.2 KB - MD5: bf77e44ecfafdd978599ad847993004e
Data
coordinates_new_mapped_linking_faults_Figure_5.txt
Feb 3, 2020 - Replication Data for: Structural controls on rupture extent of recent Sumatran Fault Zone earthquakes, Indonesia
Plain Text - 7.0 KB - MD5: 7dc2a332410a9165c2b67a30287179a8
Data
Preregistration Documents: Evaluating the Quality of Evidence for Intelligent Tutoring Systems in the Tutoring of Math for Children Aged 6 to 12: Preregistration for Systematic Review
Feb 3, 2020 - Research on Learning and Education
Cheng, Janice SH; Lee, Keith YW; Styles, Suzy J, 2020, "Preregistration Documents: Evaluating the Quality of Evidence for Intelligent Tutoring Systems in the Tutoring of Math for Children Aged 6 to 12: Preregistration for Systematic Review", https://doi.org/10.21979/N9/JRLPIB, DR-NTU (Data), V1
Evaluating the Quality of Evidence for Intelligent Tutoring Systems in the Tutoring of Math for Children Aged 6 to 12: Preregistration for Systematic Review
ChengLeeStyles2020_1_AsPredicted.pdf
Feb 3, 2020 - Preregistration Documents: Evaluating the Quality of Evidence for Intelligent Tutoring Systems in the Tutoring of Math for Children Aged 6 to 12: Preregistration for Systematic Review
Adobe PDF - 71.8 KB - MD5: 510948eb48f05507b55c30c381996711
Preregistration template
ChengLeeStyles2020_2_PRISMA_Protocol.pdf
Feb 3, 2020 - Preregistration Documents: Evaluating the Quality of Evidence for Intelligent Tutoring Systems in the Tutoring of Math for Children Aged 6 to 12: Preregistration for Systematic Review
Adobe PDF - 67.8 KB - MD5: a98f504b091fd7e02a380c9169beafda
PRISMA template for systematic review
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.