Releases: seamanticscience/Lauderdale_etal_2020_PNAS
Releases · seamanticscience/Lauderdale_etal_2020_PNAS
Box model code, analysis routines, and large model ensemble data characterizing the "ligand-iron-microbe" feedback from Lauderdale_etal_2020_PNAS
Box model code, analysis routines, and large model ensemble data characterizing the "ligand-iron-microbe" feedback from Lauderdale_etal_2020_PNAS
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FORTRAN three-box model code, Python analysis routines, and model output characterizing the "ligand-iron-microbe" feedback from the paper "Microbial feedbacks optimize ocean iron availability" by Jonathan Lauderdale, Rogier Braakman, Gael Forget, Stephanie Dutkiewicz, and Mick Follows in Proceedings of the National Academy of Sciences of the United States of America. Please cite our paper if you find these tools of use in your research