Metrics
1,361,605 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 or linked 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

88,821 to 88,830 of 91,105 Results
Replication data for Lab-on-chip microfluidic impedance measurement for laminar flow ratio sensing and differential conductivity difference detection - Raw data in Origin - Detection Limit DI 1uM 1nM.opj
Jul 31, 2019 - Replication data for: Lab-on-chip microfluidic impedance measurement for laminar flow ratio sensing and differential conductivity difference detection
Unknown - 2.0 MB - MD5: c587c0b1f62b8c85208e48009b803d4b
Data
Detection Limit DI 1uM 1nM
Replication data for Lab-on-chip microfluidic impedance measurement for laminar flow ratio sensing and differential conductivity difference detection - Raw data in Origin - Frequency Sweep.opj
Jul 31, 2019 - Replication data for: Lab-on-chip microfluidic impedance measurement for laminar flow ratio sensing and differential conductivity difference detection
Unknown - 255.3 KB - MD5: 1db2900c2913d30b15480fe0fbe96d83
Data
Frequency Sweep
Replication data for Lab-on-chip microfluidic impedance measurement for laminar flow ratio sensing and differential conductivity difference detection - Raw data in Origin - Normalized DI Water and 1uM NaCl.opj
Jul 31, 2019 - Replication data for: Lab-on-chip microfluidic impedance measurement for laminar flow ratio sensing and differential conductivity difference detection
Unknown - 7.4 MB - MD5: b2f5eb3e9c464b72f160f35e35102398
Data
Normalized DI Water and 1uM NaCl
Replication data for Lab-on-chip microfluidic impedance measurement for laminar flow ratio sensing and differential conductivity difference detection - Raw data in Origin - Statistic.opj
Jul 31, 2019 - Replication data for: Lab-on-chip microfluidic impedance measurement for laminar flow ratio sensing and differential conductivity difference detection
Unknown - 901.8 KB - MD5: e7ed1d18fe059993937952e5da5aac6b
Data
Statistic
Supplementary information for Lab-on-chip microfluidic impedance measurement for laminar flow ratio sensing and differential conductivity difference detection.pdf
Supplementary information for Lab-on-chip microfluidic impedance measurement for laminar flow ratio sensing and differential conductivity difference detection.pdf
Jul 31, 2019 - Replication data for: Lab-on-chip microfluidic impedance measurement for laminar flow ratio sensing and differential conductivity difference detection
Adobe PDF - 944.0 KB - MD5: b36341025a0543d7fd6c491bc1d8697e
PowerAnalysis.pdf
Jul 29, 2019 - Preregistration Documents: Cross-modal Statistical Learning and its Impacts on Language Learning
Adobe PDF - 99.6 KB - MD5: fda3e4b6e4bc30498fc8e12bb0a2121c
Gwee & Styles (2019): Preregistration Docs for crossmodal statistical learning and its impacts on language learning - Power analysis
Sasaki2018Cortex.pdf
Sasaki2018Cortex.pdf
Jul 27, 2019 - Replication Data for: Distinct sensitivities of the lateral prefrontal cortex and extrastriate body area to contingency between executed and observed actions
Adobe PDF - 2.9 MB - MD5: efa87d0ac8d84d755f874c0f3b4a7715
srep40931.pdf
srep40931.pdf
Jul 27, 2019 - Brain networks involved in tactile speed classification of moving dot patterns: the effects of speed and dot periodicity
Adobe PDF - 1.4 MB - MD5: 9c9d8e8eab7d02d2363936c9e52fdff1
Article
Fig_1_4_notest er2.tif
Fig_1_4_notest er2.tif
Jul 27, 2019 - Brain networks underlying tactile softness perception: a functional magnetic resonance imaging study.
TIFF Image - 14.9 MB - MD5: e1699a2568c2e40b5dc4347b215826d7
Figure 1
Fig2_Exp2_Figure_Ftest.tif
Fig2_Exp2_Figure_Ftest.tif
Jul 27, 2019 - Brain networks underlying tactile softness perception: a functional magnetic resonance imaging study.
TIFF Image - 13.6 MB - MD5: 1afc9b198530355234bf65108ba1f4ed
Figure 2
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.