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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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70,311 to 70,320 of 71,772 Results
TIFF Image - 16.4 MB - MD5: cc21ab8470b3d1e6a945573cd2ff2755
TIFF Image - 10.2 MB - MD5: de934becab2fb972369ea902dbecd985
TIFF Image - 9.7 MB - MD5: ab588ac230a04935e642af18207af303
TIFF Image - 9.4 MB - MD5: 0aae4e9c998420bca1310e36262f3a6e
Apr 26, 2019 - Adel Emadzadeh
Emadzadeh, Adel, 2019, "Settling velocity of porous particles.", https://doi.org/10.21979/N9/ZVQ7PA, DR-NTU (Data), V1, UNF:6:z/VUt9KE8QoL2AZYc1fbZQ== [fileUNF]
Measured terminal settling velocity of Porous and solid particles.
Tabular Data - 23.0 KB - 13 Variables, 189 Observations - UNF:6:z/VUt9KE8QoL2AZYc1fbZQ==
Separation angle measured by PIV
MS Excel Spreadsheet - 82.4 KB - MD5: f9ccefee528d04dec494ca72a77fa7a7
Terminal Settling Velocity measurements
Apr 22, 2019 - AcRF Tier 2 Influenza
Yin, Rui, 2019, "Computational identification of physicochemical signatures for host tropism of influenza A virus", https://doi.org/10.21979/N9/5RIS7R, DR-NTU (Data), V1
Avian influenza viruses from migratory birds have managed to cross host species barriers and infected various hosts like human and swine. Epidemics and pandemics might occur when influenza viruses are adapted to humans, causing deaths and enormous economic loss. Receptor-binding...
RAR Archive - 254.6 KB - MD5: 85b8c43ddde662b94f4bb7794f6310af
Additional files for Computational identification of physicochemical signatures for host tropism of influenza A virus
Apr 22, 2019 - AcRF Tier 2 Influenza
Yin, Rui, 2019, "Influenza H1N1 antigenic and sequence data", https://doi.org/10.21979/N9/O5XL2X, DR-NTU (Data), V1
H1N1 is the earliest emerging subtype of influenza A viruses with available genomic sequences, has caused several pandemics and seasonal epidemics, resulting in millions of deaths and enormous economic losses. Timely determination of new antigenic variants is crucial for the vacc...
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