Discrete profile measurements of dissolved inorganic carbon (DIC), total alkalinity, pH on total scale, water temperature, salinity, dissolved oxygen concentration, nutrients and other chemical and hydrographic parameters obtained during the R/V Ramón Margalef RADPROF 2023 cruise (EXPOCODE 29RM20230704) in the North East Atlantic Ocean from 2023-07-03 to 2023-07-11 (NCEI Accession 0291177)

This dataset consists of discrete profile measurements of dissolved inorganic carbon (DIC), total alkalinity, pH on total scale, water temperature, salinity, dissolved oxygen concentration, nutrients and other chemical and hydrographic parameters obtained during the R/V Ramón Margalef RADPROF 2023 cruise (EXPOCODE 29RM20230704) in the North East Atlantic Ocean from 2023-07-03 to 2023-07-11. The RADPROF project is an annual routine monitoring activity associated with the Finisterre deep section, RADPROF, which contributes to the IEO oceanography observation system, IEOOS since 2003. RADPROF contributes to time series of hydrography, circulation, inorganic biogeochemistry and biology in the slope region of the Galicia-Cantabrian region, passing through the protected area of the Bank of Galicia since 2014. The time series began in 2003 with the VACLAN National Plan project, continued by COVACLAN (2005) and later integrated as a structural program of the IEO under the pseudonym RADPROF. The basic activity is reinforced and expanded thanks to competitive projects of the National Plan such as MODUPLAN (2014), or Interreg EU iFADO (2020), complementary sampling activities using gliders (FinisGlider). Currently RADPROF is basic in Chapter 6 of the Marine Strategy Framework Directive, as it also would be for the Ocean Acidification and Prevailing Conditions chapter. From 2024 to 2026 it will contribute to the EuroGOSHIP project in support of the improvement of European hydrography. RADPROF is recognized as a GO-SHIP Associated line due to the high density and quality of its thermohaline, circulation and inorganic biogeochemistry data, especially CO2 variables.