############################################################################################### # Data and codes supporting the paper "Global observation of plankton communities from space" # ############################################################################################### Our analysis was devided into four major steps; - 00_Preparation: preparing metabarcoding data (EukBank) and satellide data (MODIS products). - 01_DataProcessing: matching two different (metabarcoding - satellite) data. - 02_Analysis: inferensing a co-occurence network, constructing a predictive model, and predicting the spatiotemporal distributions of plankton communities. - 03_Visualization: visualizing the data and results. Directory of every steps have these two/three subdirectories; - scripts: codes for the analysis. Shell scripts (.sh) are mainly used for executig subscripts (Python, R and Julia). Please execute commands in shell scripts step-by-step because they are not optimized for sequencial execution. - data: data generated in the analysis. - figures: figures generated (only in visualizing part). All codes were written by Hiroto Kaneko (Kyoto University) Contact: kanekochem1994@icloud.com