000000125 001__ 125
000000125 005__ 20160629160709.0
000000125 0247_ $$2DOI$$a10.15169/sci-gaia:1457431676.23
000000125 037__ $$aDATASETSSCIGAIA-2016-001
000000125 041__ $$aeng
000000125 043__ $$aarticle
000000125 100__ $$aSimon J E Taylor
000000125 245__ $$aRepast Infection Model Experiment 1 Results
000000125 260__ $$c2016-02-25
000000125 300__ $$a1
000000125 500__ $$bcc-by
000000125 520__ $$aThe Repast Infection Model was produced to demonstrate how scientists can use a science gateway to support Open Science.  This dataset is the results of running "Experiment 1" with the model.  The parameters are: Simulation Period (20), Recovered Count (0), Infected Count (20), Susceptible Count (1500).
000000125 536__ $$cSci-GaIA - Energising Scientific Endeavour through Science Gateways and e-Infrastructures in Africa
000000125 6531_ $$aInfection Model
000000125 6531_ $$aAgent-based Simulation
000000125 6531_ $$aScience Gateway
000000125 6531_ $$aREPAST
000000125 8560_ $$fsimon.taylor@brunel.ac.uk
000000125 8564_ $$s2208$$uhttp://oar.sci-gaia.eu/record/125/files/DATASETSSCIGAIA-2016-001.tgz
000000125 909CO $$ooai:oar.sci-gaia.eu:125$$popenaire
000000125 980__ $$aDATASETSSCIGAIA