Simulation data for "Impact of Dynamic Phytoplankton Stoichiometry on Global Scale Pattern

Simulation data from a submission to the journal Global Biogeochemical Cycles. The data was generated by George I. Hagstrom of Princeton University to study the impact of dynamic phytoplankton stoichiometry on global nutrient limitation, nitrogen fixation, and carbon export. Data files are stored as pickled Python variables, and associated analysis code is available in a linked GitHub repository.

Use Cases

• Validate biogeochemical model outputs based on simulated global nutrient limitation patterns.
• Analyze relationships between phytoplankton stoichiometry and carbon export fluxes as described in the study.
• Investigate the role of nitrogen fixation in ocean biogeochemistry using the provided simulation data.

Strengths

• Data originates from a submission to the peer-reviewed journal Global Biogeochemical Cycles.
• Associated analysis code is publicly available in a GitHub repository for reproducibility.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

George I. Hagstrom, Princeton University

Collection Method

Output from a biogeochemical simulation model.

Geography

Global scale