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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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48,171 to 48,180 of 70,387 Results
Tabular Data - 2.0 KB - 41 Variables, 7 Observations - UNF:6:MksKzqh9UJnejWEqO4WBAw==
TIFF Image - 24.5 MB - MD5: d8d154b0ee667bf90c5b124dad965149
MS Excel Spreadsheet - 14.8 KB - MD5: 91f5569ec19ae6306e4f0bff443c739f
supporting information
MS Excel Spreadsheet - 15.0 KB - MD5: 2f68ccb9fc2e7a10ad3470f13201e2b0
supporting information
Adobe PDF - 148.2 KB - MD5: 730b62225b3a74f0dff744883e475c09
table s1 from manuscript
Adobe PDF - 120.1 KB - MD5: dbf39d29222613203e0dddf0788c3be2
table s2 from manuscript
Tabular Data - 3.6 KB - 17 Variables, 10 Observations - UNF:6:dV+2Z5Cow0qG32GGs2sv3w==
supporting information
Jupyter Notebook - 5.3 KB - MD5: 90a460a48256ad819b76dbb3f13295f8
Python notebook for crawling Reddit comments using Pushshift API
Jupyter Notebook - 17.7 MB - MD5: 3b574943513e96b9cf5764af147d1bd1
Python notebook for comment data exploration
Jupyter Notebook - 40.0 KB - MD5: cbc80436d273ecb5e6b1fb3dd50af621
Python notebook for comment data preparation
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