The dataset regroups the 7 Sea-Explorer glider sections with TSO2, Chla, BB700 and CDOM profiles from 0 to 600m depth from Jan to May 2018.  Each section represents a round-trip from Nice to Calvi. The files include a dataset of TA, DIC, pH predicted from CANYON-MED neural network based on TSO2 glider profiles. The pCO2 has been estimated from DIC-pH using the CO2SYS v3 toolbox. All data are in Matlab format and QC 1 (good data).