Concept: Biogeochemical cycle
Reconstruction of δ 13 C DIC in the Atlantic Ocean: a probabilistic machine learning approach for filling historical data gaps
Machine learning fills gaps in ocean carbon isotope data across the Atlantic
Identification of Key Factors Driving Dissolved Oxygen in Riparian Aquifers Through Deep Learning‐Assisted Global Sensitivity Analysis
Deep learning reveals which factors control oxygen levels in groundwater near streams
Alternative dynamic regimes of marine biogeochemical models in perturbed environments
How extreme environmental changes shift ocean nutrient cycles into alternate states
