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dc.contributor.authorReis, Dirceu S Jr
dc.contributor.authorVeilleux, Andrea G
dc.contributor.authorLamontagne, Jonathan R
dc.contributor.authorStedinger, Jery R
dc.contributor.authorMartins, Eduardo S
dc.date.accessioned2018-04-11T19:39:07Z
dc.date.available2018-04-11T19:39:07Z
dc.date.issued2018
dc.identifier.urihttps://hdl.handle.net/1813/56521
dc.description.sponsorship1 - Brazilian Government agency CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico 2- Water Resources Institute Internship Award #07HQAG0161 from the U.S. Geological Survey, U.S. Department of the Interior
dc.language.isoen_USen_US
dc.rightsCC0 1.0 Universal*
dc.rights.urihttps://creativecommons.org/publicdomain/zero/1.0/*
dc.titleData from: Operational Bayesian GLS Regression for Regional Hydrologic Analysesen_US
dc.typedataseten_US
dc.identifier.doihttps://doi.org/10.7298/X4348HHJen_US


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