Data from: Statistical decomposition of passive and active phenotypic plasticity in traits under homeostatic regulation

Phenotypic plasticity enables organisms to maintain an optimal phenotype
in the face of environmental change. Phenotypic plasticity is often viewed
as being either passive or active. Yet many traits exhibit what we
term mixed plasticity, where both passive effects of the
environment and active physiological regulation shape trait dynamics.
Indeed, this is a key characteristic of traits that are under homeostatic
regulation, where organisms attempt to reverse environmental disturbance
of the phenotype. Here, we develop a novel model that decomposes the
temporal dynamics of homeostatic or mixed plasticity traits into
parameters that describe the passive effect of the environment, the rate
at which active regulation is adjusted (i.e., rate of plasticity), and the
asymptotic magnitude of active regulation (i.e., capacity for plasticity).
We apply this model to a dataset comprising 653 experiments documenting
time-course changes in ion concentrations and osmolality in aquatic
organisms following salinity shifts.