The importance of this work lies in the fact that it enriches the global dataset with primary production data, specifically photosynthetic parameters, thereby doubling the global dataset on photosynthetic parameters, which may help resolve a bottleneck in the use of satellite-based primary production models in the future. The work thoroughly explains the different mathematical equations used to calculate the parameters through inverse modeling. The authors were able to retrieve and process more than 6,000 historical primary production profiles, transforming them into thousands of parameter pairs. The true potential of this work lies in providing useful information from the data to create new maps, use new satellite algorithms or improve existing ones, as well as construct time series spanning more than 30 years to assess climate change in phytoplankton, among other applications.