dc.date.accessioned2016-11-29T20:31:20Z
dc.date.available2016-11-29T20:31:20Z
dc.date.created2016-11-29T20:31:20Z
dc.date.issued2014
dc.identifier0004-6361
dc.identifierhttp://hdl.handle.net/10533/132706
dc.identifier1110326
dc.identifierWOS:000341185300130
dc.identifier1432-0746
dc.languageeng
dc.publisherSPRINGER SCIENCE
dc.relationhttps://doi.org/10.1051/0004-6361/201423904
dc.relation10.1051/0004-6361/201423904
dc.relationinfo:eu-repo/grantAgreement/Fondecyt/1110326
dc.relationinfo:eu-repo/semantics/dataset/hdl.handle.net/10533/93477
dc.relationinstname: Conicyt
dc.relationreponame: Repositorio Digital RI2.0
dc.relationinstname: Conicyt
dc.relationreponame: Repositorio Digital RI2.0
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleThe vvv templates project towards an automated classification of vvv light-curves i. Building a database of stellar variability in the near-infrared
dc.typeArticulo


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