Seafloor Density Measurements, Prediction, and Associated Uncertainty for "Predicting global marine sediment density using the random forest regressor machine learning algorithm"

Global seafloor density prediction results using the random forest regressor machine learning algorithm. 

Dataset S1. Seafloor density measurements.  Columns are labeled with a header and include associated drilling project and measurement type for each sample.  File format: CSV text file

Dataset S2. Seafloor density prediction results from the random forest regressor machine learning algorithm at 5×5-arc minute resolution.  Units are g/cm^3.  File format: netCDF (.nc)

Dataset S3. Seafloor density prediction standard deviation from the random forest regressor machine learning algorithm at 5×5-arc minute resolution.  Units are g/cm^3.  File format: netCDF (.nc)