Name: Fabio Benedetti
Type: User
Company: ETH Zürich (https://ethz.ch/de.html)
Bio: I study living stuff on Earth and I (try to) rely on numerical approaches to (try to) understand where they are, what they do and when it matters to ecosystems.
Location: CHN Building, Universitätstrasse 16, Zürich
Blog: https://up.ethz.ch/
Fabio Benedetti's Projects
R codes developed during my postdoc at UMR7093-LOV funded by the "Parc Naturel Marin de la Mer d'Iroise" (Réseau des Aires Marines Protégées).
The present R scripts were developed under my research activities for the H2020-funded AtlantECO project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 862923. This output reflects only the author’s view, and the European Union cannot be held responsible for any use that may be made of the information contained therein
R scripts that are key to reproduce the results of Benedetti et al. (2021) published Nature Communications
The present R scripts were developed to produce the results of the study published in Journal of Plankton Research.
Ecologist interested in the different facets of diversity (taxonomic, functional, phylogenetic) and their link with community structure, environmental variability and ecosystem services. Strong experience in statistical modeling, multivariate analysis and large database mining in R.
Example repository for the beginners Git course
Repository for the project examining emergent patterns of marine zooplankton functional diversity and how they covary with proxies of ecosystem functioning.
Miscellaneous R scripts developed here and there...
R scripts developed for my PhD thesis at Sorbonnes Universités, UMR7093-LOV funded by the EIT Climate-KIC.
R scripts developed for the project in collaboration with Charlotte Laufkoetter (Uni. Bern) & Kevin Lang (formerly a student at ETH Zürich)
Scripts to build the grassland diversity dataset
Generation of the 2019 grassland function dataset
R scripts for analyzing the zooplankton imaging dataset of Tara Oceans published in Brandao, Benedetti et al. (2021) Scientific Reports
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