10.18130/V3/ZOG1FFHarrison, GalenGalenHarrisonUniversity of Virginia, Biocomplexity Institiute and InitiativeChen, JiangzhuoUniversity of Virginia, Biocomplexity Institiute and InitiativeMortveit, HenningHenningMortveitUniversity of Virginia, Biocomplexity Institiute and InitiativeHoops, StefanStefanHoopsUniversity of Virginia, Biocomplexity Institiute and InitiativePorebski, PrzemyslawUniversity of Virginia, Biocomplexity Institiute and InitiativeXie, DawenUniversity of Virginia, Biocomplexity Institiute and InitiativeWilson, AmandaAmandaWilsonUniversity of Virginia, Biocomplexity Institiute and InitiativeBhattacharya, ParantapaUniversity of Virginia, Biocomplexity Institiute and InitiativeVullikanti, AnilAnilVullikantiUniversity of Virginia, Biocomplexity Institiute and InitiativeXiong, LiLiXiongEmory UniversityMarathe, MadhavMadhavMaratheUniversity of Virginia, Biocomplexity Institiute and InitiativeSynthetic Data To Support US-UK Prize Challenge For Developing Privacy Enhancing Methods: Predicting Individual Infection Risk During A PandemicUniversity of Virginia Dataverse2023Computer and Information ScienceMathematical SciencesMedicine, Health and Life SciencesSocial Sciences (Ex: Education, Politics, Sociology, Economics, Psychology)Porebski, PrzemyslawUniversity of Virginia, Biocomplexity Institiute and Initiative2022-08-012023-03-272023-04-03https://net.science/files/resources/datasets/PET_Prize_PandemicForecasting/1.1CC BY-NC 4.0Synthetic population and synthetic outbreak data for Virginia and GBR.