This dataset presents air-sea interaction fluxes derived from meteorological and sea surface (thermosalinometer) data collected between 2011 and 2013 aboard the R/V Cornide de Saavedra, which is currently decommissioned and was operated by the Spanish Institute of Oceanography (IEO). The files contain sensible heat flux (SHFL) and latent heat flux (LHFL), both positive towards the atmosphere, as well as momentum fluxes (MOFL), representing wind stress directed towards the sea surface. These fluxes were computed using the bulk aerodynamic approximation (Large and Yeager, 2009), which combines atmospheric and oceanic measurements. Accordingly, the datasets also include meteorological and thermosalinometer data recorded along the vessel's trajectory, which are essential for these computations. The meteorological variables used in the calculations include atmospheric pressure at sea level (ATMS), air temperature (DRYT), relative humidity (RELH), wind speed (WSPD), and total incident radiation (RDIN), which encompasses both longwave and shortwave components. Although RDIN is not directly involved in the flux calculations, it is included as it complements the ocean's heat storage balance alongside the flux variables.The sea surface temperature is stored as TEMP. The monthly files are stored in Medar/Medatlas format (Lowry et al., 2024) with hourly resolution. They are named as follows: "29CS_YYYYMM.dat", where: "29CS" identifies the vessel (as per the C17 SeaDataNet vocabulary), "YYYY" represents the year, and "MM" indicates the month. The dataset has undergone quality control procedures in accordance with SeaDataNet guidelines (Schaap and Lowry, 2010). As per the Medar/Medatlas format, quality control flags are included in an additional column to supplement the described variables. The calculation of air-sea interaction fluxes depends on the simultaneous availability of meteorological and thermosalinometer data. When the required variables are unavailable, the flux columns are omitted. However, the remaining experimental variables are preserved, as they provide independent scientific value, contributing to the interpretation of flux signs, trends, proportionality, and behavior.