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First 1235 results for ” G Alexandri”

1. Active Provenance for Data-Intensive Workflows: Engaging Users and Developers

   We present a practical approach for provenance capturing in Data-Intensive workflow systems. It p...

   Alessandro Spinuso | Journal: 15th International Conference on eScience (eScience) | Year: 2019 | doi: 10.1109/eScience.2019.0007

   Publication

2. Workflows in a Dashboard: A New Generation of Usability

   In the last 20 years quite a few mature workflow engines and workflow editors have been developed...

   Sandra Gesing, Alessandro Spinuso | Journal: 9th Workshop on Workflows in Support of Large-Scale Science | Year: 2014 | doi: 10.1109/WORKS.2014.6

   Publication

3. Contributions from the DISC to accomplish the Aeolus mission objectives

   The Aeolus Data Innovation and Science Cluster (DISC) supports the Aeolus mission with a wide ran...

   Oliver Reitebuch, Isabell Krisch, Christian Lemmerz, Oliver Lux, Uwe Marksteiner, Nafiseh Masoumzadeh, Fabian Weiler, Benjamin Witschas, Vittoria Cito Filomarino, Markus Meringer, Karsten Schmidt, Dorit Huber, Ines Nikolaus, Frederic Fabre, Michael Vaughan, Katja Reisig, Alain Dabas, Thomas Flament, Adrien Lacour, Jean-Francois Mahfouf, Ibrahim Seck, Dimitri Trapon, Saleh Abdalla, Lars Isaksen, Michael Rennie, Angela Benedetti, Will McLean, Caren Henry, Dave Donovan, Jos de Kloe, Gert-Jan Marseille, Ad Stoffelen, Ping Wang, Gerd-Jan van Zadelhoff, Gaetan Perron, Sebastian Jupin-Ganglois, Bas Pijnacker-Hordijk, Marcella Veneziani, Simone Bucci, Giacomo Gostinicchi, Lorenzo Di Ciolo, Frithjof Ehlers, Thomas Kanitz, Alexander Geiss, Anne-Grete Straume, Denny Wernham, Trismono Krisna, Jonas von Bismarck, Guido Colangeli, Vittorio Trivigno, Massimo Romanazzo, Stefano Aprile, Tommaso Parinello | Journal: Institute of Atmospheric Physics | Year: 2018 | doi: https://elib.dlr.de/186034/

   Publication

4. DIGISTAD: Disclosure of the hourly meteorological observations of the Amsterdam City Water Office 1784-1963

   This report describes the digitization, the quality control, metadata and analysis of the hourly ...

   Hendrik Wallbrink, Theo Brandsma | Year: 2008 | Pages: 26

   Publication

5. dispel4py: An agile framework for data-intensive escience

   We present dispel4py a versatile data-intensive kit presented as a standard Python library. It em...

   Rosa Filgueira, Alessandro Spinuso | Journal: IEEE 11th International Conference on e-Science | Year: 2015 | doi: https://doi.org/10.1109/eScience.2015.40

   Publication