Data science for Space Weather services in Argentina
Space Weather services rely heavily on the data. Challenges include multiple data sources, multiple formats (not always structured data), raw data (direct from the instruments), different data resolutions (in time and in space), poor metadata, data missing (instrument failure, connectivity issues, e...
Guardado en:
Autores principales: | Namour, Jorge H., Torres Peralta, Ticiano, Molina, María G., Gómez, Alejandro N., Paz, Esteban, Delorme, Guadalupe, Dall’ara, Darío, Amaya, Guillermo, Cortés, Benjamín |
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Formato: | Objeto de conferencia |
Lenguaje: | Inglés |
Publicado: |
2021
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Materias: | |
Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/140164 http://50jaiio.sadio.org.ar/pdfs/agranda/AGRANDA-17.pdf |
Aporte de: |
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