Trophic morphology and machine learning classification of three Mediterranean fish species based on feeding-related traits
R script and input dataset supporting the manuscript “Trophic morphology and machine learning classification of three Mediterranean fish species based on feeding-related traits” (Merluccius merluccius, Sardina pilchardus, Sarpa salpa). The script runs the full analytical workflow: descriptive morphometrics, condition factor, length-weight relationships, functional diversity and PCoA, feature selection, PERMANOVA, and machine learning classification (random forest, gradient boosting, decision tree, logistic regression). The Excel workbook contains the individual-level morphometric records used as input.
Authors
- Panagiotis A. Pantazis (ORCID: https://orcid.org/0000-0003-4949-2862)
- Evgenia Gourzioti (ORCID: https://orcid.org/0000-0002-5096-943X)
- Dimitris Klaoudatos (ORCID: https://orcid.org/0000-0003-0818-0600)
- Alexis J. Conides (ORCID: https://orcid.org/0000-0002-8539-7785)
- Alexandros Theocharis (ORCID: https://orcid.org/0009-0004-7950-2093)
Institutions
- University of Thessaly (GR)
- Hellenic Centre for Marine Research (GR)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-10-27
- DOI
- https://doi.org/10.5281/zenodo.23688858
- Primary Topic
- Fish Biology and Ecology Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00