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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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60,221 to 60,230 of 74,567 Results
make_release.py
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Python Source Code - 2.7 KB - MD5: 0ecf79f27f6c3cf2e3093c2bba9da9ef
master
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Plain Text - 41 B - MD5: 189b954f0cd1929faee95e91e09d65ce
metadata-hdb-property-information.txt
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Plain Text - 6.2 KB - MD5: 6233a935fd95c92f27ce3f00f48fff6c
model.ckpt-99592.data-00000-of-00001
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Unknown - 367.5 MB - MD5: 76d43ee7c4a91e6346a58820c0336b65
model.ckpt-99592.index
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Unknown - 36.4 KB - MD5: 6a9f735700a6f10ecb53ca2dc0817f5d
model.ckpt-99592.meta
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Unknown - 5.6 MB - MD5: 2d014cc5b2948ef6720be298b50b9a00
model.cpython-36.pyc
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Unknown - 4.2 KB - MD5: aff36f8cdbc66bfbc32a5b6cd3cfb02c
model.py
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Python Source Code - 5.4 KB - MD5: 88d6f21cda70f1db0fead67aedff78bd
multigpu_train.py
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Python Source Code - 8.1 KB - MD5: 211ab8a9770bad553b9ddc873c12c2b7
Note.md
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Markdown Text - 1.2 KB - MD5: 5725fbb077a36bc8150def99b14090bb
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