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

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

Dates

Publication Date
Start Date
1988
End Date
2017

Citation

Wherry, S.A., Tesoriero, A.J., and Dupuy, D.I., 2024, Input and results from a random forest classification (RFC) model that predicts redox conditions in groundwater in the contiguous United States: U.S. Geological Survey data release, https://doi.org/10.5066/P9DVPJIX.

Summary

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).

Contacts

Point of Contact :
Susan Wherry
Originator :
Susan Wherry, Anthony J Tesoriero, Danielle I Dupuy
Metadata Contact :
Erin K Poor
Publisher :
U.S. Geological Survey
SDC Data Owner :
Oregon Water Science Center
USGS Mission Area :
Water Resources
Distributor :
U.S. Geological Survey - ScienceBase

Attached Files

Click on title to download individual files attached to this item.

Metadata.xml
Original FGDC Metadata
View 		18.97 KB application/fgdc+xml
mn_binary50_test.csv 1.69 MB text/csv
mn_binary50_train.csv 3.95 MB text/csv
mn10_grid.csv 813.03 MB text/csv
mn10_grid_prediction.csv 450.06 MB text/csv
redox_test.csv 1.02 MB text/csv
redox_train.csv 2.37 MB text/csv
redox10_grid.csv 886.56 MB text/csv
redox10_grid_prediction.csv 347.29 MB text/csv
mn_binary50_test.Rdata 472.26 KB application/x-gzip
mn_binary50_train.Rdata 1.01 MB application/x-gzip
redox_test.Rdata 278.05 KB application/x-gzip
redox_train.Rdata 613.9 KB application/x-gzip
rf_mn.r 3.29 KB text/x-rsrc
rf_redox.r 3.33 KB text/x-rsrc
surficial_geology_key.csv 2.67 KB text/csv
README.txt 9.5 KB text/plain
variable_list.csv 5.86 KB text/csv

Purpose

The input data were already available publicly. The output data were created to provide information on the fate of redox-sensitive contaminants, such as nitrate and arsenic.

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  • USGS Data Release Products

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Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9DVPJIX

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