• AWESAM: a python module for au...
  • *Description*

*Result*: AWESAM: a python module for automated volcanic event detection applied to Stromboli

*Title*:
AWESAM: a python module for automated volcanic event detection applied to Stromboli / Darius Fenner, Georg Rümpker, Wei Li, Megha Chakraborty, Johannes Faber, Jonas Köhler, Horst Stöcker, Nishtha Srivastava
*Author/editor-in-chief*:
Fenner, Darius (Verfasser); Rümpker, Georg (Verfasser); Li, Wei (Verfasser); Chakraborty, Megha (Verfasser) ; Faber, Johannes (Verfasser); Köhler, Jonas (Verfasser); Stöcker, Horst (Verfasser) ; Srivastava, Nishtha (Verfasser)
*Edition*:
Preprint, Version 1
*Distribution*:
Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg
*Physical description scale*:
1 Online-Ressource (10 Seiten) : Illustrationen, Diagramme
*Format*:
*eBook*
*Language*:
*eng*
*Notes*:
Später eschienen als: Automated Seismo-Volcanic Event Detection Applied to Stromboli (Italy) in Frontiers in Earth Science, 10, March 2022, DOI: 10.3389/feart.2022.809037
*DOI*:
10.48550/ARXIV.2111.01513
*oa_rights*:
Open Access
CC BY 4.0

*Additional information*

*Additional functions*