Deep-sea sediments of the global ocean mapped with Random Forest machine learning algorithm@en

The seafloor lithology of deep-sea sediments of the global ocean was spatially predicted. Five lithology classes were predicted: Calcareous sediment, Clay, Diatom ooze, Lithogenous sediment, and Radiolarian ooze. The dataset contains probability surfaces of the five seafloor lithologies, the probability of the most probable class (maximum probability) and the predicted seafloor lithology. The results are presented as geo-referenced floating-point TIFF-files with a spatial resolution of 10 km and Wagner IV equal-area projection as spatial reference. […]

全球大洋深海沉积物的海底岩性已完成空间预测。本次预测共划定五类岩性类别：钙质沉积物（Calcareous sediment）、黏土（Clay）、硅藻软泥（Diatom ooze）、陆源沉积物（Lithogenous sediment）以及放射虫软泥（Radiolarian ooze）。本数据集涵盖五类海底岩性的概率分布曲面、各像元最可能岩性类别的概率（即最大概率值），以及最终预测得到的海底岩性类别。成果以地理参考浮点型TIFF文件格式存储，其空间分辨率为10 km，空间参考系统采用Wagner IV等面积投影。[…]