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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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50,211 to 50,220 of 73,632 Results
Unknown - 1.9 GB - MD5: aa0a23c8c0b5b4ba5e9e0478bf9ee37a
Comment dataset from Reddit's subreddit r/Coronavirus
Unknown - 22.6 KB - MD5: a3991537e97931f2fa6768bee3390c55
Data on COVID-19 (coronavirus) by Our World in Data
Jupyter Notebook - 5.3 KB - MD5: 27aa375a080f46c1b35b14e96b737490
Python notebook for crawling Reddit submission using Pushshift API
Jupyter Notebook - 9.2 MB - MD5: 26fde4095852a39fb34df52ddf8a1bc3
Python notebook for submission data exploration
Jupyter Notebook - 13.0 KB - MD5: c0cece69006185a15c309d779e6a8342
Python notebook for submission data preparation
Unknown - 45.4 MB - MD5: 641b01af9df1a02074375ed30004e5bc
Submission dataset from Reddit's subreddit r/Coronavirus
Nature-Based Solution for Flood Risk Reduction(Nanyang Technological University)
Nature-Based Solution for Flood Risk Reduction logo
Jul 24, 2021David Lallemant
Flooding is the most frequent and damaging natural hazard globally. While nature-based solutions can reduce flood risk, they are not part of mainstream risk management. We develop a probabilistic risk analysis framework to quantify these benefits that i) accounts for frequent sma...
Informatics for Equitable Recovery(Nanyang Technological University)
Informatics for Equitable Recovery logo
Jul 24, 2021David Lallemant
Informatics for Equitable Recovery is a transdisciplinary research project that brings together data scientists, engineers, social scientists and civic organizations to improve post-disaster information systems and decision support tools. Example use cases for these information s...
David Lallemant(Nanyang Technological University)
David Lallemant logo
Jul 24, 2021Asian School of the Environment (ASE)
Research topics: • Disaster risk analysis • Reliability Analysis • Probabilistic methods • Statistical learning • Disaster impact and recovery For more information, visit our disaster-analytics.com webpage.
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