This archive contains the input data, R scripts and final results of a mechanistic model that uses near real-time data from the Belgian Part of the North Sea (2011-2017) to quantify the relative contributions of the bottom-up and top-down drivers in phytoplankton dynamics. Input data are zooplankton and phytoplankton abundances, nutrients, Sea Surface Temperature (SST), photosynthetically active radiation (PAR); from the LifeWatch data and infrastructure, funded by Research Foundation - Flanders (FWO). Water temperature data for one of the locations was obtained from Flemish Banks Monitoring Network at https://meetnetvlaamsebanken.be/. The R scripts are presented in a R Markdown file that can be executed in the Blue-Cloud Zoo and Phytoplankton EOV products Vlab at https://blue-cloud.d4science.org/web/zoo-phytoplankton_eov, operated by D4Science.org, www.d4science.org (Assante et al., 2019).

{"references": ["Assante et al.: Enacting open science by D4Science. Future Gener. Comput. Syst. 101: 555-563 10.1016/j.future.2019.05.063, 2019.", "RStudio Team (2020). RStudio: Integrated Development for R. RStudio, PBC, Boston, MA URL http://www.rstudio.com/.", "Mortelmans, J., Goossens, J., Amadei Mart\u00ednez, L., Deneudt, K., Cattrijsse, A., & Hernandez, F. (2019). LifeWatch observatory data: zooplankton observations in the Belgian part of the North Sea. Geoscience Data Journal, 6(2), 76-84. doi/10.1002/gdj3.68", "Soetaert, K. and Herman, P.M.J. (2009). A practical guide to ecological modelling. Using R as a Simulation Platform. Springer-Verlag, New York, US, p. 372."]}