Zobrazeno 1 - 10
of 126
pro vyhledávání: '"M. Mirto"'
Autor:
R. Petrie, S. Denvil, S. Ames, G. Levavasseur, S. Fiore, C. Allen, F. Antonio, K. Berger, P.-A. Bretonnière, L. Cinquini, E. Dart, P. Dwarakanath, K. Druken, B. Evans, L. Franchistéguy, S. Gardoll, E. Gerbier, M. Greenslade, D. Hassell, A. Iwi, M. Juckes, S. Kindermann, L. Lacinski, M. Mirto, A. B. Nasser, P. Nassisi, E. Nienhouse, S. Nikonov, A. Nuzzo, C. Richards, S. Ridzwan, M. Rixen, K. Serradell, K. Snow, A. Stephens, M. Stockhause, H. Vahlenkamp, R. Wagner
Publikováno v:
Geoscientific Model Development, Vol 14, Pp 629-644 (2021)
The distribution of data contributed to the Coupled Model Intercomparison Project Phase 6 (CMIP6) is via the Earth System Grid Federation (ESGF). The ESGF is a network of internationally distributed sites that together work as a federated data archiv
Externí odkaz:
https://doaj.org/article/0cba59a6244c4df3a1dee3f52dbc4da7
Autor:
A. D'Anca, L. Conte, P. Nassisi, C. Palazzo, R. Lecci, S. Cretì, M. Mancini, A. Nuzzo, M. Mirto, G. Mannarini, G. Coppini, S. Fiore, G. Aloisio
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 17, Iss 2, Pp 171-184 (2017)
An efficient, secure and interoperable data platform solution has been developed in the TESSA project to provide fast navigation and access to the data stored in the data archive, as well as a standard-based metadata management support. The platform
Externí odkaz:
https://doaj.org/article/7eafba65c5194b23986a2775d8503cf7
Publikováno v:
Annals of Geophysics, Vol 47, Iss 2-3 (2004)
The assessment of the completeness of historical earthquake data (such as, for instance, parametric earthquake catalogues) has usually been approached in seismology - and mainly in Probabilistic Seismic Hazard Assessment(PSHA) - by means of statistic
Externí odkaz:
https://doaj.org/article/98b694f450684bddb6a4bcde518d145a
Akademický článek
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Akademický článek
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Grids encourage and promote the publication, sharing and integration of scientific data, distributed across Virtual Organizations. Scientists and researchers work on huge, complex and growing datasets. The complexity of data management within a grid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4034::dad136f535baaecafdcbe1991b02f2da
http://www.booksonline.iospress.nl/Content/View.aspx?piid=8578
http://www.booksonline.iospress.nl/Content/View.aspx?piid=8578
A very important aspect in Bioinformatics is the prediction of the three-dimensional (3D) structure of proteins from their primary sequence, because this information can be useful for determining the protein function, given by a specific spatial conf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4094::f051a3828b50a6e692351fcf3454c630
http://hdl.handle.net/11585/74019
http://hdl.handle.net/11585/74019
Akademický článek
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Currently several applications produce huge amount of data making them available for post-processing operations in order to infer new knowledge. Main issues of these applications are the need for efficient mechanisms to access data and high performan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4034::a1e41311ceda50acea6115f177af5b6f
https://hdl.handle.net/11587/115828
https://hdl.handle.net/11587/115828
Even though there are many useful tools for sequence alignment such as Blast by NCBI, Fasta by the University of Virginia and Smith-Waterman, by NIST, one of the key issues is that sequence databases are exploding in size, growing at an exponential r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4034::dfc745b5daba97f9361e0f85bb2931a9
https://hdl.handle.net/11587/115826
https://hdl.handle.net/11587/115826