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).
Data and resources
Additional information
| Date (publication) | 2023-05-01 |
|---|---|
| Date (revision) | 2025-08-06 |
| Status | onGoing |
| Update frequency | asNeeded |
| Metadata language | en |
| License | CC-BY (Creative Commons - Attribution) |
| Source metadata | ISO 19115 XML |
| Last updated | 2026-11-04 |
| Created | 2026-11-04 |
| API | package_show |