Annual composites of derived carbonate chemistry data collected at fixed stations by year.
Derived_Annual_CarbonateA dataframe
The year in which data was collected
The name of the station where data was collected
The depth at which data was collected (metres)
annual mean per section_name and depth_m of total alkalinity in umol/kg
annual mean per section_name and depth_m of dissolved inorganic carbon in umol/kg
annual mean per section_name and depth_m of pH on a total scale
annual mean per section_name and depth_m of pCO2 in uatm
annual mean per section_name and depth_m of substrate-inhibitor ratio (mol/umol)
annual mean per section_name and depth_m of the saturation state of omegaAragonite (unitless)
annual mean per section_name and depth_m of the saturation state of omega calcity (untiless)
annual mean per section_name and depth_m of Carbonate System Vulnerability Index (TA − DIC) (µmol/kg).
Data collection and analysis was led by Kumiko Azetsu-Scott and data calculations were done by Martine Lizotte. Annual means are LS-means by year from linear models. If all values of a variable are positive in a section, a log10 model is used and back transformed. If any value is non-positive a linear model is used on the original scale. season and station_name are included in the model when they have >1 levels in that section. All missing values are replaced by -999.
More details on calculation methodology can be found in Lizotte, M., Blais, M., Chassé, J., Galbraith, P. S., Hébert, A.-J., Starr, M. 2026. Acidification and CO2-Driven Conditions in the Estuary and Gulf of St. Lawrence During 2024. Can. Tech. Rep. Hydrogr. Ocean. Sci. 0000 : v + x p. (in publication)