6 results on '"Barboni, Damiano"'
Search Results
2. Genotyping, pedigree reconstruction and endocrinological characterization of Acipenser naccarii (Bonaparte, 1836) using microsatellite markers and plasma steroid levels
- Author
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Guarniero, Ilaria, primary, Mandelli, Michaela, additional, Stancampiano, Laura, additional, Cariani, Alessia, additional, Govoni, Nadia, additional, Parmeggiani, Albamaria, additional, Barboni, Damiano, additional, and Mordenti, Oliviero, additional
- Published
- 2017
- Full Text
- View/download PDF
3. Big Data Analytics for Earth Sciences: the EarthServer approach
- Author
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Baumann, Peter, Mazzetti, Paolo, Ungar, Joachim, Barbera, Roberto, Barboni, Damiano, Beccati, Alan, Bigagli, Lorenzo, Boldrini, Enrico, Bruno, Riccardo, Calanducci, Antonio, Campalani, Piero, Clements, Oliver, Dumitru, Alex, Grant, Mike, Herzig, Pasquale, Kakaletris, George, Laxton, John, Koltsida, Panagiota, Lipskoch, Kinga, Mahdiraji, Alireza Rezaei, Mantovani, Simone, Merticariu, Vlad, Messina, Antonio, Misev, Dimitar, Natali, Stefano, Nativi, Stefano, Oosthoek, Jelmer, Pappalardo, Marco, Passmore, James, Rossi, Angelo Pio, Rundo, Francesco, Sen, Marcus, Sorbera, Vittorio, Sullivan, Don, Torrisi, Mario, Trovato, Leonardo, Veratelli, Maria Grazia, Wagner, Sebastian, Baumann, Peter, Mazzetti, Paolo, Ungar, Joachim, Barbera, Roberto, Barboni, Damiano, Beccati, Alan, Bigagli, Lorenzo, Boldrini, Enrico, Bruno, Riccardo, Calanducci, Antonio, Campalani, Piero, Clements, Oliver, Dumitru, Alex, Grant, Mike, Herzig, Pasquale, Kakaletris, George, Laxton, John, Koltsida, Panagiota, Lipskoch, Kinga, Mahdiraji, Alireza Rezaei, Mantovani, Simone, Merticariu, Vlad, Messina, Antonio, Misev, Dimitar, Natali, Stefano, Nativi, Stefano, Oosthoek, Jelmer, Pappalardo, Marco, Passmore, James, Rossi, Angelo Pio, Rundo, Francesco, Sen, Marcus, Sorbera, Vittorio, Sullivan, Don, Torrisi, Mario, Trovato, Leonardo, Veratelli, Maria Grazia, and Wagner, Sebastian
- Abstract
Big Data Analytics is an emerging field since massive storage and computing capabilities have been made available by advanced e-infrastructures. Earth and Environmental sciences are likely to benefit from Big Data Analytics techniques supporting the processing of the large number of Earth Observation datasets currently acquired and generated through observations and simulations. However, Earth Science data and applications present specificities in terms of relevance of the geospatial information, wide heterogeneity of data models and formats, and complexity of processing. Therefore, Big Earth Data Analytics requires specifically tailored techniques and tools. The EarthServer Big Earth Data Analytics engine offers a solution for coverage-type datasets, built around a high performance array database technology, and the adoption and enhancement of standards for service interaction (OGC WCS and WCPS). The EarthServer solution, led by the collection of requirements from scientific communities and international initiatives, provides a holistic approach that ranges from query languages and scalability up to mobile access and visualization. The result is demonstrated and validated through the development of lighthouse applications in the Marine, Geology, Atmospheric, Planetary and Cryospheric science domains.
- Published
- 2016
4. Big Data Analytics for Earth Sciences: the EarthServer approach
- Author
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Baumann, Peter, primary, Mazzetti, Paolo, additional, Ungar, Joachim, additional, Barbera, Roberto, additional, Barboni, Damiano, additional, Beccati, Alan, additional, Bigagli, Lorenzo, additional, Boldrini, Enrico, additional, Bruno, Riccardo, additional, Calanducci, Antonio, additional, Campalani, Piero, additional, Clements, Oliver, additional, Dumitru, Alex, additional, Grant, Mike, additional, Herzig, Pasquale, additional, Kakaletris, George, additional, Laxton, John, additional, Koltsida, Panagiota, additional, Lipskoch, Kinga, additional, Mahdiraji, Alireza Rezaei, additional, Mantovani, Simone, additional, Merticariu, Vlad, additional, Messina, Antonio, additional, Misev, Dimitar, additional, Natali, Stefano, additional, Nativi, Stefano, additional, Oosthoek, Jelmer, additional, Pappalardo, Marco, additional, Passmore, James, additional, Rossi, Angelo Pio, additional, Rundo, Francesco, additional, Sen, Marcus, additional, Sorbera, Vittorio, additional, Sullivan, Don, additional, Torrisi, Mario, additional, Trovato, Leonardo, additional, Veratelli, Maria Grazia, additional, and Wagner, Sebastian, additional
- Published
- 2015
- Full Text
- View/download PDF
5. The European Space Agency PDGS Data Cube service.
- Author
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Mantovani, Simone, Barboni, Damiano, Cavicchi, Mario, Natali, Stefano, Vecchia, Andrea Della, Guerrucci, Damiano, Troina, Giuseppe, and Albani, Mirko
- Subjects
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CARBON cycle , *ENVIRONMENTAL monitoring - Abstract
As part of the European Space Agency activities the multi-mission ground systems are operated to acquire, process, archive and distribute data from ESA Missions, including the Heritage Missions, as well as the Third-Party Missions under specific agreements with NASA, JAXA and other data owners. As a joint effort of several departments, the dissemination services have been designed to provide reliable services to support both interactive access (e.g. web client to explore data catalogues) and automated access (e.g. via API and machine-to-machine interfaces for automated access to the data). With the lunch of the Copernicus mission the unprecedent volume (e.g. Copernicus contributes with 10TB/day, CAMS with 100TB/day) of additional data has accentuated the need of effective access services to support environmental monitoring applications. Moreover the possibility to integrate and combine is driving the users to request time-series of data spanning 20 years and more, likely to increase even more in the future, in particular regarding the growing interest on global change monitoring and policy makers decisions on the observed changes particularly in the climate system (atmosphere, ocean, cryosphere, carbon and other biogeochemical cycles, sea levels).To ensure, enhance and facilitate discovery and access of ESA Missions by a broader community of users, the European Space Agency has transferred into operation the ESA PDGS Data Cube service. Based on a new paradigm aiming at pulling out the full potential of EO data providing access to large spatio-temporal data stored in ESA dissemination archives and enabling on-the-fly analysis-ready form, the ESA PDGS Data Cube service has been designed to fit the ESA Common Services architecture.Relevant use cases defined in connection with international initiatives (e.g. CEOS, GEOSS) are also presented. [ABSTRACT FROM AUTHOR]
- Published
- 2019
6. Genotyping, pedigree reconstruction and endocrinological characterization of Acipenser naccarii (Bonaparte, 1836) using microsatellite markers and plasma steroid levels
- Author
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Ilaria Guarniero, Laura Stancampiano, Michaela Mandelli, Alessia Cariani, Albamaria Parmeggiani, Oliviero Mordenti, Nadia Govoni, Damiano Barboni, Guarniero, Ilaria, Mandelli, Michaela, Stancampiano, Laura, Cariani, Alessia, Govoni, Nadia, Parmeggiani, Albamaria, Barboni, Damiano, and Mordenti, Oliviero
- Subjects
0106 biological sciences ,0301 basic medicine ,Genetics ,biology ,Tetraploid ,Acipenser naccarii ,Artificial reproduction ,Parentage assignment ,Aquatic Science ,biology.organism_classification ,Sexual steroid ,010603 evolutionary biology ,01 natural sciences ,03 medical and health sciences ,030104 developmental biology ,Microsatellite ,Kinship analysi ,Genotyping - Abstract
This study aimed to set up a method for the long-term management of Adriatic sturgeon, through the analysis of sex steroids and the genetic profiling of individuals in order to maximize the already reduced genetic variability of this species. Ten A. naccarii adults (nine of captive origin, one captured in the Ticino river and then moved into captivity) and eight subadults located in a semi-natural land-locked pond in Abbiategrasso (Milan, Italy) were analysed. Plasma testosterone differed significantly in the eight analysed subadults allowing their differentiation into two groups: the first group with an average testosterone concentration of 5.42 ± 1.31 ng/ml (probably female) and the second group with an average of 423.14 ± 75.97 ng/ml (probably male), as subsequently confirmed by artificial stripping. The plasma testosterone level was also significantly different between adult males and females (371.37 ± 43.58 vs. 95.34 ± 51.10 ng/ml), while the E2 levels showed no significant differences. Animals were genotyped on the basis of 10 microsatellite loci and their parental relationships were defined: four adults, two females and two males, generated the eight subadults. On the basis of pedigree analyses and genetic distances, 15 unrelated couples were identified for the future breeding seasons. Finally, the adult female captured in the Ticino River showed an interesting genetic profile, widely different from all of the other 17 specimens analysed, and represents a valuable source of genetic diversity.
- Published
- 2017
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