-
Uncertainty estimation of machine learning spatial precipitation predictions ...
This dataset is used for merging satellite and gauge-measured precipitation data. It contains 91,623 samples with 17 predictor variables. -
PANGAEA (Data Publisher for Earth & Environmental Science)
Imported
Spatially predicted sedimentation rates, organic carbon densities and organic...
The dataset contains spatially predicted linear sedimentation rates, organic carbon densities, organic carbon accumulation rates and the associated uncertainties in the... -
PANGAEA (Data Publisher for Earth & Environmental Science)
Imported
Deep-sea sediments of the global ocean mapped with Random Forest machine lear...
The seafloor lithology of deep-sea sediments of the global ocean was spatially predicted. Five lithology classes were predicted: Calcareous sediment, Clay, Diatom ooze,...
