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Input and results from a random forest classification (RFC) model that predicts redox conditions in groundwater in the contiguous United States

January 23, 2024

This data release provides model inputs and outputs for a model that predicts redox conditions in groundwater in the contiguous United States. Input variables describe the hydrology, soils, geology, and hydrologic position of groundwater sample locations. The data release accompanies a journal article that describes model development and applications (Tesoriero_and_others_2023).

Publication Year 2024
Title Input and results from a random forest classification (RFC) model that predicts redox conditions in groundwater in the contiguous United States
DOI 10.5066/P9DVPJIX
Authors Susan Wherry, Jim Tesoriero, Danielle I Dupuy
Product Type Data Release
Record Source USGS Asset Identifier Service (AIS)
USGS Organization Oregon Water Science Center
Rights This work is marked with CC0 1.0 Universal
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