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Computational modeling reveals movement dynamics and dispersal patterns in Phytophthora zoospores, suggesting mechanisms for navigating complex environments.
Experimental microscopy data, TrackMate trajectory reconstructions, agent-based simulation outputs, and representative animations associated with the study “Data-driven inference of local behavioural rules predicts emergent properties of Phytophthora zoospore dispersal”. The dataset includes simulations of unobstructed swimming using empirical and HMM-derived behavioural models, as well as predictive simulations in obstacle-filled environments using alternative collision rules.
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Berre et al. (2026) studied this question.
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