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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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58,321 to 58,330 of 73,632 Results
sf-wonder-comic.zip
Aug 11, 2020 - Source code to generate a training dataset for text recognition of Singapore's city area names and block numbers
ZIP Archive - 555.8 KB - MD5: a071fe3ca2964c42e351368c8a6d73c9
typo-writer.zip
Aug 11, 2020 - Source code to generate a training dataset for text recognition of Singapore's city area names and block numbers
ZIP Archive - 954.8 KB - MD5: 7bb410515c895f91992eb2866eb53c93
URANIA CZECH.ttf
Aug 11, 2020 - Source code to generate a training dataset for text recognition of Singapore's city area names and block numbers
application/x-font-ttf - 100.5 KB - MD5: 162203484873f960387f2b036cbf7081
urania-czech.zip
Aug 11, 2020 - Source code to generate a training dataset for text recognition of Singapore's city area names and block numbers
ZIP Archive - 589.8 KB - MD5: 4e5d6c5371bfaa6fa62bee66d991fad4
Zombie Queen.ttf
Aug 11, 2020 - Source code to generate a training dataset for text recognition of Singapore's city area names and block numbers
application/x-font-ttf - 46.1 KB - MD5: a2d461cd968c4ba4eb75afe738720a24
zombie-queen.zip
Aug 11, 2020 - Source code to generate a training dataset for text recognition of Singapore's city area names and block numbers
ZIP Archive - 526.2 KB - MD5: 1ff819a92980b5ba60764a079ed6cdfa
adaptor.cpp
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
C++ Source - 1.6 KB - MD5: b2600ee5bf66df03ee8973660e739778
adaptor.so
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Unknown - 237.7 KB - MD5: 566408439c82f0701ad411e56568281b
app.css
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Cascading Style Sheet - 117 B - MD5: 04f71789898fd7a97048ca49a5dc499c
applypatch-msg.sample
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Unknown - 478 B - MD5: ce562e08d8098926a3862fc6e7905199
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