Ectotherm size- and age-at-maturity in a warmer, variable, and resource-poor world

This dataset supports a study investigating how nutritional quality and thermal variability jointly affect individual growth and maturation in Daphnia magna. It includes the full R implementation of a Dynamic Energy Budget (DEB) model parameterised for D. magna, in which the average temperature, the amplitude of thermal fluctuations, and both the quantity and quality of food can be modified by the user. The dataset also contains empirical measurements from standardized growth experiments conducted under multiple combinations of temperature regimes (varying means and amplitudes), food quantity, and nutritional quality. The DEB model predicts age and size at maturity across several environmental scenarios. Experimental data were used to validate model accuracy and parameterization under different thermal and trophic conditions. Model scripts include complete annotation, flexible parameter settings, and tools for simulating growth trajectories and extracting key life-history metrics. These data provide a robust framework for exploring how energetic constraints modulate population responses to environmental change, and offer a reproducible tool for predicting life-history outcomes under different ecological scenarios, including thermal stress and food limitation.