Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Llamas, Ricardo"'
Autor:
Rorabaugh, Danny, Guevara, Mario, Llamas, Ricardo, Kitson, Joy, Vargas, Rodrigo, Taufer, Michela
The current availability of soil moisture data over large areas comes from satellite remote sensing technologies (i.e., radar-based systems), but these data have coarse resolution and often exhibit large spatial information gaps. Where data are too c
Externí odkaz:
http://arxiv.org/abs/1904.07754
Autor:
Llamas, Ricardo M.1 (AUTHOR) rllamas@udel.edu, Valera, Leobardo2 (AUTHOR) lvalera@utk.edu, Olaya, Paula2 (AUTHOR) polaya@vols.utk.edu, Taufer, Michela2 (AUTHOR) taufer@utk.edu, Vargas, Rodrigo1 (AUTHOR) rvargas@udel.edu
Publikováno v:
Remote Sensing. Jul2022, Vol. 14 Issue 13, p3137-N.PAG. 20p.
Akademický článek
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Autor:
Olaya, Paula, Luettgau, Jakob, Llamas, Ricardo, Vargas, Rodrigo, Lofstead, Jay, Wen, Sophia, I-Hsin Chung, Seetharami Seelam, Taufer, Michela
What cutting-edge storage technology is available to deal with data? Can we leverage services deployment platforms for scientific workflows? How do we tune the storage and deployment platforms?
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1759a12ca06f7baefb5b827674f4feca
Autor:
Taufer, Michela, Olaya, Paula, Kennedy, Dominic, Llamas, Ricardo, Vargas, Rodrigo, Lofstead, Jay
In this poster, we address the scientists' need for data traceability and results explainability of soil moisture predictions. We address the need by transforming existing container technology into tools for automatically annotating provenance metada
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d58a8ffd63ffd34f8000a5d2cc25b2e
Autor:
Llamas, Ricardo M., Bonifaz, Roberto, Valdés, Mauro, Riveros-Rosas, David, LeyvaContreras, Amando
Publikováno v:
In Geofísica Internacional October-December 2013 52(4):321-341
Autor:
Blanco, Paula D., Colditz, Rene R., López Saldaña, Gerardo, Hardtke, Leonardo A., Llamas, Ricardo M., Mari, Nicolás A., Fischer, Angeles, Caride, Constanza, Aceñolaza, Pablo G., del Valle, Héctor F., Lillo-Saavedra, Mario, Coronato, Fernando, Opazo, Sergio A., Morelli, Fabiano, Anaya, Jesús A., Sione, Walter F., Zamboni, Pamela, Arroyo, Victor Barrena
Publikováno v:
In Remote Sensing of Environment 15 May 2013 132:13-31
Autor:
Olaya, Paula, Kennedy, Dominic, Llamas, Ricardo, Vargas, Rodrigo, Lofstead, Jay, Taufer, Michela
Scientists need to trust the data, software, infrastructure, and humans in the scientific discovery loop. We can leverage object storage technology and NSDF software stackto enable scientists to achieve trust in their workflow.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87b63809a8baf5985327ffcbdd46b316
Use-case of road map towards trustworthiness of scientific workflows through leveraging containers and annotating the execution of every data component. We present an automatic fine-grained metadata that provides a full description of the dataflow, e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48d7739880d57795181c2449398e2758
Autor:
Olaya, Paula, Leobardo Valera, Taufer, Michela, Llamas, Ricardo, Vargas, Rodrigo, Lofstead, Jay
Use-case of road map towards reproducibility of scientific workflows through leveraging containers. We present an automatic fine-grained metadata that provides a full description of the dataflow, ensuring traceability of data and explainability of re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12ec66855797999a176bff02714fc25d