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Results of high-performance computing parameter sweeps associated with the Zimbabwe agro-pastoral management model

Citation

Eitzel, M.V. et al. (2020), Results of high-performance computing parameter sweeps associated with the Zimbabwe agro-pastoral management model, Dryad, Dataset, https://doi.org/10.5061/dryad.p5hqbzkmq

Abstract

This dataset includes all the results of the model runs used to explore the parameters in the Zimbabwe Agro-Pastoral Management Model, archived at ComSES.net (https://doi.org/10.25937/ta23-sn46). This model has been created with and for the researcher-farmers of the Muonde Trust (http://www.muonde.org/), a registered Zimbabwean non-governmental organization dedicated to fostering Indigenous innovation.  The results in this dataset were generated using the BehaviorSpace functionality in NetLogo, running headless on a high-performance computing cluster (499,200 runs). The dataset includes model output variables summarized for each model run as well as input values for management variables, underlying parameters, and rainfall models for those runs. A detailed description of the model and its variables (including units of measurement where applicable) is available in Eitzel et al. (2020) at DOI: 10.1371/journal.pone.0237638 and in the Overview, Design, and Details documentation on CoMSES.net.

Usage Notes

See readme.

Funding

National Science Foundation, Award: 1415130