About the CoMSES Model Library more info
Our mission is to help computational modelers at all levels engage in the establishment and adoption of community standards and good practices for developing and sharing computational models. Model authors can freely publish their model source code in the Computational Model Library alongside narrative documentation, open science metadata, and other emerging open science norms that facilitate software citation, reproducibility, interoperability, and reuse. Model authors can also request peer review of their computational models to receive a DOI.
All users of models published in the library must cite model authors when they use and benefit from their code.
Please check out our model publishing tutorial and contact us if you have any questions or concerns about publishing your model(s) in the Computational Model Library.
We also maintain a curated database of over 7500 publications of agent-based and individual based models with additional detailed metadata on availability of code and bibliometric information on the landscape of ABM/IBM publications that we welcome you to explore.
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Soil microbe-predator model with enzymes
Randall Boone John C Moore Akihiro Koyama Kirstin Holfelder | Published Thursday, November 21, 2013We seek to improve understanding of roles enzyme play in soil food webs. We created an agent-based simulation of a simple food web that includes enzymatic activity. The model was used in a publication, Moore et al. (in press; Biochemistry).
Mast seeding model
Lucia Tamburino Giangiacomo Bravo | Published Saturday, September 08, 2012 | Last modified Saturday, April 27, 2013Purpose of the model is to perform a “virtual experiment” to test the predator satiation hypothesis, advanced in literature to explain the mast seeding phenomenon.
Peer reviewed PPHPC - Predator-Prey for High-Performance Computing
Nuno Fachada | Published Saturday, August 08, 2015 | Last modified Wednesday, November 25, 2015PPHPC is a conceptual model for studying and evaluating implementation strategies for spatial agent-based models (SABMs). It is a realization of a predator-prey dynamic system, and captures important SABMs characteristics.
Landscape connectivity and predator–prey population dynamics
Jacopo Baggio | Published Thursday, November 10, 2011 | Last modified Saturday, April 27, 2013A simple model to assess the effect of connectivity on interacting species (i.e. predator-prey type)
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