Benthic Habitat Map of the Southern Adriatic Sea (Mediterranean Sea) from Object-Based Image Analysis of Multi-Source Acoustic Backscatter Data

Autor: Mariacristina Prampolini, Lorenzo Angeletti, Giorgio Castellan, Valentina Grande, Tim Le Bas, Marco Taviani, Federica Foglini

Publikováno v: Remote Sensing, Vol 13, Iss 15, p 2913 (2021)

A huge amount of seabed acoustic reflectivity data has been acquired from the east to the west side of the southern Adriatic Sea (Mediterranean Sea) in the last 18 years by CNR-ISMAR. These data have been used for geological, biological and habitat m

Externí odkaz: https://doaj.org/article/fb351e40ed5a410f8ffeda178247e670

Bi-allelic variants of FILIP1 cause congenital myopathy, dysmorphism and neurological defects

Autor: Andreas Roos, Peter F M van der Ven, Hadil Alrohaif, Heike Kölbel, Lorena Heil, Adela Della Marina, Joachim Weis, Marvin Aßent, Stefanie Beck-Wödl, Rita Barresi, Ana Töpf, Kaela O’Connor, Albert Sickmann, Nicolai Kohlschmidt, Magdeldin El Gizouli, Nancy Meyer, Nassam Daya, Valentina Grande, Karin Bois, Frank J Kaiser, Matthias Vorgerd, Christopher Schröder, Ulrike Schara-Schmidt, Andrea Gangfuss, Teresinha Evangelista, Luisa Röbisch, Andreas Hentschel, Anika Grüneboom, Dieter O Fuerst, Alma Kuechler, Andreas Tzschach, Christel Depienne, Hanns Lochmüller

Publikováno v: Brain.

Filamin-A-interacting protein 1 (FILIP1) is a structural protein that is involved in neuronal and muscle function and integrity and interacts with FLNa and FLNc. Pathogenic variants in filamin-encoding genes have been linked to neurological disorders

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8193eb2798344f5405907b8635833b06
https://doi.org/10.1093/brain/awad152

Application of Hyperspectral Imaging to Underwater Habitat Mapping, Southern Adriatic Sea

Autor: Federica Foglini, Valentina Grande, Fabio Marchese, Valentina A. Bracchi, Mariacristina Prampolini, Lorenzo Angeletti, Giorgio Castellan, Giovanni Chimienti, Ingrid M. Hansen, Magne Gudmundsen, Agostino N. Meroni, Alessandra Mercorella, Agostina Vertino, Fabio Badalamenti, Cesare Corselli, Ivar Erdal, Eleonora Martorelli, Alessandra Savini, Marco Taviani

Publikováno v: Sensors, Vol 19, Iss 10, p 2261 (2019)

Hyperspectral imagers enable the collection of high-resolution spectral images exploitable for the supervised classification of habitats and objects of interest (OOI). Although this is a well-established technology for the study of subaerial environm

Externí odkaz: https://doaj.org/article/0b12680806c046a28d1444591fc6f31e

Automatic detection of MLs targets from the bathymetry - snapshot

Autor: Vanessa Moschino, Fantina Madricardo, Valentina Grande, Antonio Petrizzo

A dedicated workflow in ArcGIS was developed to identify targets from the bathymetry within the MAELSTROM Project - Smart technology for MArinE Litter SusTainable RemOval and Management

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::14afd8ed4984439686f977db875b3702

Enabling FAIR research in Earth Science through research objects

Autor: Rosemarie Leone, Ilkay Altintas, Charles Meertens, Vito Romaniello, Stefano Salvi, Simone Mantovani, Cristiano Silvagni, Francesco De Leo, Federica Foglini, Jose Manuel Gomez-Perez, Sergio Albani, Melissa A. Genazzio, Henry W. Loescher, Raul Palma, Fran Boler, Mirko Albani, Fulvio Marelli, Michele Lazzarini, Andres Garcia-Silva, Marcin Krystek, Timothy Aldridge, Valentina Grande, Daniel Crawl, Elisa Trasatti, Helen Glaves, Hazel J. Napier, Christine Laney

Publikováno v: Future generation computer systems 98 (2019): 550–564. doi:10.1016/j.future.2019.03.046
info:cnr-pdr/source/autori:Garcia-Silva A.; Gomez-Perez J.M.; Palma R.; Krystek M.; Mantovani S.; Foglini F.; Grande V.; De Leo F.; Salvi S.; Trasatti E.; Romaniello V.; Albani M.; Silvagni C.; Leone R.; Marelli F.; Albani S.; Lazzarini M.; Napier H.J.; Glaves H.M.; Aldridge T.; Meertens C.; Boler F.; Loescher H.W.; Laney C.; Genazzio M.A.; Crawl D.; Altintas I./titolo:Enabling FAIR research in Earth Science through research objects/doi:10.1016%2Fj.future.2019.03.046/rivista:Future generation computer systems/anno:2019/pagina_da:550/pagina_a:564/intervallo_pagine:550–564/volume:98

Data-intensive science communities are progressively adopting FAIR practices that enhance the visibility of scientific breakthroughs and enable reuse. At the core of this movement, research objects contain and describe scientific information and reso

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52ea6dde929a9d7641dac2478d4d123a
https://doi.org/10.1016/j.future.2019.03.046