Meiofauna abundance and distribution predicted with random forest regression in the German exploration area for polymetallic nodule mining, Clarion Clipperton Fracture Zone, Pacific

The dataset contains counts of meiofauna organisms on high taxonomic level and predicted distributions computed for overall meiofauna abundance, diversity (Simpson's Index D and Evenness E), richness (ntax) and individual taxa using random forest regressions. Furthermore, a habitatmap is provided, dividing the area based on k-means clustering of combined predicted distributions, bathymetry and backscatter. The spatial layers are saved as grid-files, being the standard format of the R-package \"raster\" (https://cran.r-project.org/web/packages/raster/index.html). […]本数据集包含小型底栖生物（meiofauna）的高级分类阶元计数结果，以及通过随机森林回归计算得到的整体小型底栖生物丰度、多样性（辛普森指数D与均匀度E）、物种丰富度（ntax）及各分类类群的预测分布。此外，本数据集还提供生境地图（habitatmap）：该地图基于综合预测分布、水深（bathymetry）与背散射（backscatter）数据的k均值聚类结果对研究区域进行分区。所有空间图层均以网格文件格式存储，该格式为R语言包"raster"（https://cran.r-project.org/web/packages/raster/index.html）的标准存储格式。[...]