Physical and biogeochemical data from SEA-EXPLORER gliders in the Ligurian Sea in 2018

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). Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.