Investigating data-driven approaches to understand the interaction between water quality and physiological response of sentinel oysters in natural environment.

•Data-driven approaches to study physiological response of sentinel oysters to environmental condition.•Predicting heart rate and shell gape of oysters from environmental water quality variables.•Predicting water quality variables from heart rate and shell gape of oysters.•Application of machine learning models to provide a biological perspective of environmental changes.