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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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59,651 to 59,660 of 74,495 Results
Bencao.jing.jizhu_本草經集注_01102020.xml
Oct 1, 2020 - Bencaojing jizhu 本草經集注 in Three Layers
XML - 1.2 MB - MD5: 370e3f41eaddcf733152b74b75cda303
DocuSky edition of chapters 2-7, segmented into paragraphs by primary drug name. Includes all tags from MARKUS tagged .html file. Loading this into Docusky https://docusky.org.tw/ will enable search features, parsing by all of the tags, and map visualisation of search results. Th...
0201.png
0201.png
Oct 1, 2020 - COVID-19 Statistics in China
PNG Image - 1.0 MB - MD5: 229e582ead191c335832c09d0e9e4611
0211.png
0211.png
Oct 1, 2020 - COVID-19 Statistics in China
PNG Image - 1.0 MB - MD5: 766aa7d403ef6a50f57f52d6fde6c006
0221.png
0221.png
Oct 1, 2020 - COVID-19 Statistics in China
PNG Image - 1016.3 KB - MD5: 21819fca3a55acc513982f836d90bc94
China_accumulated_deaths.tab
Oct 1, 2020 - COVID-19 Statistics in China
Tabular Data - 77.9 KB - 45 Variables, 392 Observations - UNF:6:IJax0aC5iOa1NvZfew7tQg==
DataTime Series
China_accumulated_infections.tab
Oct 1, 2020 - COVID-19 Statistics in China
Tabular Data - 65.7 KB - 45 Variables, 392 Observations - UNF:6:M/DklElUOVogkLEzRIWebA==
DataTime Series
China_accumulated_recoveries.tab
Oct 1, 2020 - COVID-19 Statistics in China
Tabular Data - 68.6 KB - 45 Variables, 392 Observations - UNF:6:xGpR7oI24FQG3KvtLfietQ==
DataTime Series
China_daily_new_deaths.tab
Oct 1, 2020 - COVID-19 Statistics in China
Tabular Data - 77.8 KB - 45 Variables, 392 Observations - UNF:6:eRekODZfRXOKFPBNPhwkJw==
DataTime Series
China_daily_new_infections.tab
Oct 1, 2020 - COVID-19 Statistics in China
Tabular Data - 58.9 KB - 45 Variables, 392 Observations - UNF:6:Pt+YM7gaQaY2brkHeYZFrQ==
DataTime Series
China_daily_new_recoveries.tab
Oct 1, 2020 - COVID-19 Statistics in China
Tabular Data - 69.9 KB - 45 Variables, 392 Observations - UNF:6:VK0oOp+vqQNvXWV/UjMMIg==
DataTime Series
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