72,761 to 72,770 of 73,578 Results
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. |
Jun 21, 2018 -
The Amazing Primate Brain
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] |
Jun 19, 2018 -
Colour your learning: Brain Cells
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 |
