Global Prediction Of Total Organic Carbon In Marine Sediments Using Deep Neural Networks (nn-toc) v2

This is the second version that was uploaded to make the code available for the paper submission NN-TOC v1: global prediction of total organic carbon in marine sediments using deep neural networks to the Geoscientific Model Development journal. Here we create a deep neural network based approach for the geospatial predicition of total organic carbon percentages in marine sediments.

The data folder contains "raw" features and labels, "interim" data for preprocessed features and labels and "output"s produced from the model. While the preprocessed folder contain all the other files that can be produced by running the code. The features are in .nc or .grd file format. The other files are in .xyz or .csv file format.