Bioregionalization of the Southern Ocean based on phytoplankton biomass distribution: Datasets and Python Code

Datasets used and produced as part of the study from Mayot et al. (in revision) - GBC. This study was conducted using data from the E.U. Copernicus Marine Service Information (https://doi.org/10.48670/moi-00046; accessed in Januray 2025). The Python codes used to perform the analysis and figures are available on GitHub: https://github.com/nmayot/SO_regionalization What is in the files? clim_reg.nc: climatological regionalisation of the Southern Ocean Dimensions: latitude longitude Variables: cluster (latitude, longitude) proba (latitude, longitude) ann_reg.nc: annual regionalisations of the Southern Ocean Dimensions: latitude longitude year nclus Variables: cluster (latitude, longitude, year) proba (latitude, longitude, year, nclus) chl_3d_clim.nc: climatological profiles of Chla Dimensions: latitude longitude depth: from 0 to 1000 m time: week number Variables: chl (time, depth, latitude, longitude): in mg/m3 bbp_3d_clim.nc: climatological profiles of bbp Dimensions: latitude longitude depth: from 0 to 1000 m time: week number Variables: bbp (time, depth, latitude, longitude): in m-1 bbp_chla_data.pkl: new_merged_data: climatological profiles of bbp and chla prepared for the analysis id_pixel: index of the pixels with available data SO_regionalization.zip: GitHub archive containing all Python code