Data underlying the research on Advancing the Understanding of Eco-Hydrological Processes with the STEMMUS-MLR Model

The increasing availability of solar-induced chlorophyll fluorescence (SIF) observations has significantly enhanced our understanding of eco-hydrological processes. To leverage this potential, the STEMMUS-MLR model was developed to directly estimate eco-hydrological fluxes and states using SIF data. This dataset includes the source code of the STEMMUS-MLR model, along with in-situ measurements used for model forcing and validation.