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## **How to cite GLOSSA**

Thank you for using **GLOSSA**! The GLOSSA paper is currently in progress. Meanwhile, to cite the software in publications, you can use the [preprint]():

> Mestre-Tomás, J., Fuster-Alonso, A., Bellido, J. M., and Coll, M. (2025). GLOSSA: a user-friendly R Shiny application for Bayesian machine learning analysis of marine species distribution. *arXiv preprint arXiv*:2505.05862. DOI: https://doi.org/10.48550/arXiv.2505.05862

GLOSSA is built on the work of many researchers and developers. To acknowledge their work, we provide citation guidelines for key contributions and inspirational works.

See the full **citation guidelines** here:
<a href="https://imares-group.github.io/glossa/how_to_cite.html" target="_blank">[Citation guidelines]</a>.
