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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.

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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.

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72,761 to 72,770 of 73,578 Results
Earth Observatory of Singapore (EOS)(Nanyang Technological University)
Earth Observatory of Singapore (EOS) logo
Jun 22, 2018
This dataverse is a collection of the Earth Observatory of Singapore’s research data.
Jun 21, 2018 - Evolution of the Human Primate
Styles, Suzy J, 2018, "The Amazing Primate Brain", https://doi.org/10.21979/N9/F4K60D, DR-NTU (Data), V2
Prof Primate (2018) The Amazing Primate Brain. A3 Poster showing brain mass, neuron count and neuron density for 4 non-primate mammals (mouse, rat, rabbit, and capybara), and 4 primates (mouse-lemur, marmoset, rhesus, and human), along with an elephant brain for comparison.
Adobe PDF - 17.8 MB - MD5: bb42cc3f6dae926670b597fe627ad226
Styles SJ (2018) The Amazing Primate Brain. A3 Poster. DR-NTU (Data) V2 [Updated to correct Marmoset body weight]
Adobe PDF - 4.1 MB - MD5: 1a0262ec4dfcff2a788410118ceec82b
'Ausmalen und Lernen: Gehirn-zellen' German Translation by Mariella Paul (2018) CC-BY-NC Free for reuse with attribution. Original: Styles, SJ (2018) 'Colour Your Learning: Brain Cells' Dr-NTU (Data). A colouring sheet introducing five different types of brain cells and the w...
Jun 11, 2018 - Santiago E. Montesdeoca
Montesdeoca, Santiago E, 2018, "MNPR", https://doi.org/10.21979/N9/KU4B6S, DR-NTU (Data), V1
MNPR is an expressive non-photorealistic rendering framework for real-time, filter-based stylization pipelines within Maya. It extends the Maya API and simplifies the creation of Viewport 2.0 render overrides, while still preserving all the low-level options that the Maya API pro...
Jun 11, 2018 - MNPR
ZIP Archive - 3.9 MB - MD5: de41e26df2999d5378acd3dd0d967616
Source code of MNPR
Jun 10, 2018 - Truth Discovery
Yang, Jielong; Tay, Wee Peng, 2018, "Using social network information to discover truth of movie ranking", https://doi.org/10.21979/N9/L5TTRW, DR-NTU (Data), V1, UNF:6:nRQNiWhKidICLOUiRM+VhA== [fileUNF]
The real dataset consists of movie evaluations from IMDB, which provides a platform where individuals can evaluate movies on a scale of 1 to 10. If a user rates a movie and clicks the share button, a Twitter message is generated. We then extract the rating from the Twitter messag...
Tabular Data - 25.9 KB - 4 Variables, 2266 Observations - UNF:6:idmdOHVRX2lCN+qFXSrj2A==
The movie evaluations of agents
Tabular Data - 25.9 KB - 4 Variables, 2266 Observations - UNF:6:VEOQFDZaksL/wFtlcyylEQ==
The movie evaluations of agents
Plain Text - 1.8 KB - MD5: 69782abe088023764d8f337c5b256aa0
Introduction of the dataset
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