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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.

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

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51,611 to 51,620 of 70,295 Results
sine_250hz.wav
Feb 5, 2021 - Supplementary Material for: Automation of binaural headphone audio calibration on an artificial head
audio/vnd.wave - 861.4 KB - MD5: 558b997309cef42783eedcb6569ec1fa
See readme.md
white_noise.wav
Feb 5, 2021 - Supplementary Material for: Automation of binaural headphone audio calibration on an artificial head
audio/vnd.wave - 861.4 KB - MD5: d4a5a1f55cbf1056f99cf42b532d8dc0
See readme.md
Figures_Raw Data_Enhancing doping efficiency for OECTs_ Adv. Electro.Mat..pptx
Feb 3, 2021 - Replication Data for: Enhancing the Electrochemical Doping Efficiency in Diketopyrrolopyrrole-Based Polymer for Organic Electrochemical Transistors
MS Powerpoint - 7.8 MB - MD5: 9366e56d8963d7b3e711c5a6130cd91a
Figures_Raw Data_Self-healable OECT _ACS AMI.pptx
Feb 2, 2021 - Replication Data for: Self-Healable Organic Electrochemical Transistor with High Transconductance, Fast Response, and Long-Term Stability
MS Powerpoint - 90.4 MB - MD5: c072718fbaeeacf43cd38618c033e573
Dat_labels.dat
Feb 1, 2021 - Image reconstruction through a multimode fiber with a simple neural network architecture
Fixed Field Text Data - 2.1 MB - MD5: 760cf014318c057a1fd77a1454712883
Dat_scrambled_A.dat
Feb 1, 2021 - Image reconstruction through a multimode fiber with a simple neural network architecture
Fixed Field Text Data - 312.5 MB - MD5: 3e1afec8c34d7937398a2920625e4166
Dat_scrambled_Ba.dat
Feb 1, 2021 - Image reconstruction through a multimode fiber with a simple neural network architecture
Fixed Field Text Data - 312.5 MB - MD5: f672fab7f99a3824b1ca70eef368aeb9
Dat_scrambled_Bb.dat
Feb 1, 2021 - Image reconstruction through a multimode fiber with a simple neural network architecture
Fixed Field Text Data - 312.5 MB - MD5: f20ac7293e85b7153549fdfefb4bf19b
Dat_scrambled_Bc.dat
Feb 1, 2021 - Image reconstruction through a multimode fiber with a simple neural network architecture
Fixed Field Text Data - 312.5 MB - MD5: 68092d687001964bf163e8b26497f530
Dat_scrambled_Bd.dat
Feb 1, 2021 - Image reconstruction through a multimode fiber with a simple neural network architecture
Fixed Field Text Data - 312.5 MB - MD5: 470a06a95f405b1f3af47f8b18a93f7f
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