Predicted seabed rock cover using the machine learning algorithm Catboost and marine environmental predictors. Supporting data for T4.1 of Horizon 2020 project FutureMARES.
Thirteen tetrahydroxanthone dimers, atrop-ascherxanthone A (1), ascherxanthones C–G (2–6), and confluxanthones A–G (7–13), were isolated from the entomopathogenic fungus Aschersonia confluens BCC53152
The raster provide the output of a machine-learning random forest algorithm modelling the occurrence of ferromanganese (Fe-Mn) crust deposits in the world ocean. This raster constitutes a data-driven
