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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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60,251 to 60,260 of 74,567 Results
requirements.txt
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Plain Text - 120 B - MD5: 204169728536d542f905a37355e859c3
requirements.txt
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Plain Text - 631 B - MD5: 69a083495b56ff12fe11b294b4352695
resnet_utils.cpython-36.pyc
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Unknown - 8.1 KB - MD5: 18a76d392ffb632131bb726486cc741b
resnet_utils.py
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Python Source Code - 10.9 KB - MD5: ce4a446ee7c7648abc0663c41452167c
resnet_v1.cpython-36.pyc
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Unknown - 10.6 KB - MD5: c6f24ddb0682c47cf27d0667615ffebd
resnet_v1.py
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Python Source Code - 15.3 KB - MD5: 3aa2f8dda86f50367aab3b8d74d76f7f
run.bat
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Windows Executable - 287 B - MD5: 8b2a58ed2482cc8c6368abbbf1c5d0a2
run_demo_server.py
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Python Source Code - 6.3 KB - MD5: ca0d1435a9df90a3b7a5265fc6fa8131
run.sh
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Shell Script - 288 B - MD5: e6ccd90670e9ce18a92ea8795cb93493
scores.txt
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Plain Text - 77 B - MD5: 502d64045dc6477d4d6d2e9700f87841
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