88,511 to 88,520 of 88,614 Results
ZIP Archive - 509.3 MB -
MD5: f02eb712a19fdaf1b2fe2ba8731a16f5
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ZIP Archive - 636.0 MB -
MD5: ad987209097375b695b68ba2be85f537
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ZIP Archive - 144.1 MB -
MD5: 1b698e42fed5741ba115e1409ff6f735
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ZIP Archive - 231.3 MB -
MD5: ffc9e0307766b563c12f6d9f22b6388e
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Oct 12, 2017 - Liew Chi Hin Timothy
Liew, Timothy Chi Hin, 2017, "Replication Data for: Kinetic Monte Carlo Approach to Non-equilibrium Bosonic Systems", https://doi.org/10.21979/N9/RV3P5N, DR-NTU (Data), V1
.zip file containing data corresponding to the figures in the published journal article. Please refer to readme file for more information on the data files. |
Oct 12, 2017 -
Replication Data for: Kinetic Monte Carlo Approach to Non-equilibrium Bosonic Systems
ZIP Archive - 31.4 MB -
MD5: d451062cbabb02b76b8acf1c8f6ece55
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Oct 12, 2017 -
Replication Data for: Kinetic Monte Carlo Approach to Non-equilibrium Bosonic Systems
Plain Text - 1.0 KB -
MD5: 1b044d7887231a9b765f2445a9a3d4bc
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Sep 29, 2017 - Altmetrics Project
Erdt, Helen Mojisola; Aung, Htet Htet; Aw, Ashley Sara; Rapple, Charlie; Theng, Yin-Leng, 2017, "Kudos dataset", https://doi.org/10.21979/N9/94B0LT, DR-NTU (Data), V1
About Kudos dataset The Kudos dataset (extracted from Kudos in February 2016) is analysed in the research article with the title "Analysing researchers' outreach efforts and the association with publication metrics: A case study of Kudos". This research paper is a result of a joi... |
Sep 19, 2017 - NetLand
Zheng, Jie, 2017, "NetLand: quantitative modeling and visualization of Waddington’s epigenetic landscape using probabilistic potential", https://doi.org/10.21979/N9/IP6DBD, DR-NTU (Data), V1
About NetLand NetLand is a software for quantitative modeling and visualization of Waddington’s epigenetic landscape. NetLand is intended for modeling, simulation and visualization of gene regulatory networks (GRNs) and their corresponding quasi-potential landscapes. Users can im... |
Sep 19, 2017 -
NetLand: quantitative modeling and visualization of Waddington’s epigenetic landscape using probabilistic potential
Plain Text - 5 B -
MD5: 219013655c981ff507a151ce1c4792e1
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