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Study of cyanotoxins presence from experimental cyanobacteria concentrations using a new data mining methodology based on multivariate adaptive regression splines in Trasona reservoir (Northern Spain)

dc.contributor.authorGarcía Nieto, Paulino José 
dc.contributor.authorSánchez Lasheras, Fernando 
dc.contributor.authorCos Juez, Francisco Javier de 
dc.contributor.authorAlonso Fernández, José Ramón
dc.date.accessioned2013-01-30T09:59:02Z
dc.date.available2013-01-30T09:59:02Z
dc.date.issued2011
dc.identifier.citationJournal of hazardous materials, 195, p.414-421 (2011); doi:10.1016/j.jhazmat.2011.08.061spa
dc.identifier.issn0304-3894
dc.identifier.urihttp://hdl.handle.net/10651/6587
dc.language.isoeng
dc.relation.ispartofJournal of hazardous materialseng
dc.sourceSCOPUSspa
dc.titleStudy of cyanotoxins presence from experimental cyanobacteria concentrations using a new data mining methodology based on multivariate adaptive regression splines in Trasona reservoir (Northern Spain)spa
dc.typejournal article
dc.identifier.local20111100spa
dc.identifier.doi10.1016/j.jhazmat.2011.08.061
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.jhazmat.2011.08.061spa


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