GHIGLIONE, CLAUDIO

GHIGLIONE, CLAUDIO  

100022 - Dipartimento di Scienze della terra, dell'ambiente e della vita  

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Titolo Data di pubblicazione Autore(i) File
A Bayesian semiparametric GLMM for historical and newly collected presence-only data: An application to species richness of Ross Sea Mollusca 1-gen-2017 Carota, C.; Nava, C. R.; Ghiglione, C.; Schiaparelli, S.
Distributional records of Antarctic and sub-Antarctic Ophiuroidea from samples curated at the Italian National Antarctic Museum (MNA): check-list update of the group in the Terra Nova Bay area (Ross Sea) and launch of the MNA 3D model ‘virtual gallery’ 1-gen-2017 Matteo Cecchetto1, 2; Alvaro, MARIA CHIARA; Ghiglione, Claudio; Guzzi, Alice; Mazzoli, Claudio; Piazza, Paola; Schiaparelli, Stefano
Distributional records of Antarctic fungi based on strains preserved in the Culture Collection of Fungi from Extreme Environments (CCFEE) Mycological Section associated with the Italian National Antarctic Museum (MNA) 1-gen-2015 Selbmann, Laura; Onofri, Silvano; Zucconi, Laura; Isola, Daniela; Rottigni, Marino; Ghiglione, Claudio; Piazza, Paola; Alvaro, MARIA CHIARA; Schiaparelli, Stefano
Distributional records of Antarctic Porifera from samples stored at the Italian National Antarctic Museum (MNA), with an update of the checklist for the Terra Nova Bay area (Ross Sea). 1-gen-2018 Ghiglione, C.; Alvaro, M. C.; Cecchetto, M.; Canese, S.; Downey, R.; Guzzi, A.; Mazzoli, C.; Piazza, P.; Rapp, H. T.; Sarà, A.; Schiaparelli, S.
First record of living Acesta (Mollusca: Bivalvia) from an Antarctic seamount 1-gen-2016 Piazza, Paola; Alvaro, MARIA CHIARA; David, A. Bowden; Malcom, R. Clark; Nicola, Conci; Ghiglione, Claudio; Schiaparelli, Stefano
Mollusc species richness and abundance from shelf to abyssal depths in the Ross Sea (Antarctica): the importance of fine-mesh-towed gears and implications for future sampling 1-gen-2017 Ghiglione, Claudio; Alvaro, MARIA CHIARA; Piazza, Paola; Bowden, D.; Griffiths, H. J.; Carota, C.; Nava, C. R.; Schiaparelli, Stefano
Reliable species distributions are obtainable with sparse, patchy and biased data by leveraging over species and data types 1-gen-2019 Peel, Samantha; Hill, Nicole; Foster, Scott; Wotherspoon, Simon; Ghiglione, Claudio; Schiaparelli, Stefano