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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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51,121 to 51,130 of 73,650 Results
Comma Separated Values - 1000.9 KB - MD5: 8c2eb77835f09fe14a65d121063f25d4
Results from tsunami simulation
Fortran Source Code - 19.2 KB - MD5: d5826535e2cd354956fab8c3810ebf65
Fortran Source Code - 12.0 KB - MD5: c3a57e001d7b9c4f5ebc493da10edab5
Fortran Source Code - 33.4 KB - MD5: 929b305aa6a368ecfc7d2c233b059ec5
Jun 20, 2021 - Safe ML
Yuhas, Michael John, 2021, "Replication Data for: Embedded out-of-distribution detection on an autonomous robot platform", https://doi.org/10.21979/N9/FVVHNK, DR-NTU (Data), V1
This data set contains the raw images and timing data gathered during the experiments listed in the paper "Embedded out-of-distribution detection on an autonomous robot platform," which appeared in Proceedings of the Workshop on Design Automation for CPS and IoT, 2021.
Gzip Archive - 2.7 GB - MD5: dcf17a582c4ff5a34a3de133b61006fa
Rich Text Format - 1.3 KB - MD5: bcb5b52c5e12e78b94357c87e12482dd
Documentation
Safe ML(Nanyang Technological University)
Jun 20, 2021Arvind EASWARAN
This Dataverse contains datasets generated and used during the course of the Safe_ML project in the CPS research group.
Arvind EASWARAN(Nanyang Technological University)
Arvind EASWARAN logo
Jun 20, 2021College of Computing and Data Science (CCDS)
Research topics: • Real-Time Systems • Model-based Design Methodologies • Energy Management Datasets from the CPS@NTU research group in the School of Computer Science and Engineering For more information, visit webpage
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