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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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58,371 to 58,380 of 73,632 Results
.gitignore
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Unknown - 11 B - MD5: 0cb45f7d0daf15a57beeab3bf35aaa7e
.gitignore
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Unknown - 1.2 KB - MD5: 352ee78e140a404c3771fc10a20b88e5
hdb-property-information.tab
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Tabular Data - 1.0 MB - 24 Variables, 12036 Observations - UNF:6:zN4RTInDz93o+Dgg2Xk9oA==
HEAD
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Plain Text - 32 B - MD5: 73a00957034783b7b5c8294c54cd3e12
HEAD
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Plain Text - 188 B - MD5: 2173099add0a43b78f7c53d2d15b0829
HEAD
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Plain Text - 23 B - MD5: 4cf2d64e44205fe628ddd534e1151b58
icdar.cpython-36.pyc
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Unknown - 19.0 KB - MD5: 5531e7aea50126db9cb42e85d5f88878
icdar.py
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
Python Source Code - 30.4 KB - MD5: 48567805d4e4e3ded84c0136993b5782
img_10.jpg
img_10.jpg
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
JPEG Image - 330.4 KB - MD5: 3a6a33b053bbe0c9133a73c27cf25b35
img_14.jpg
img_14.jpg
Aug 11, 2020 - Source code to generate LoD1 CityGML models from city area maps
JPEG Image - 115.0 KB - MD5: 07a1e831367823cefe7849ceadcd6b92
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