Global Derived Datasets For Use In K-Nn Machine Learning Prediction Of Global Seafloor Total Organic Carbon

• Main Authors: Lee, Taylor R., Wood, Warren T., Phrampus, Benjamin J.
• Format: Dataset
• Language: English
• Published: Zenodo 2018
• Subjects: globaldatasets; machinelearning; globalprediction; Antarctic; Baranova; Boyer; Coleman; Escobar; Gaina; Kenyon; Rowe; Southern Ocean; Antarc*
• Online Access: https://dx.doi.org/10.5281/zenodo.1471638; https://zenodo.org/record/1471638

This dataset includes 663 predictor grids used for k-NN global prediction of seafloor total organic carbon. 663 predictor grids available in netCDF4 HDF5 file format. Grids are cell-centered sized 4320 x 2160. File names adhere to the naming conventions discussed below. The naming structure is parti...