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PHREEQC files for geochemical simulations in the Ohio River alluvial aquifer of West Virginia PHREEQC files for geochemical simulations in the Ohio River alluvial aquifer of West Virginia

This data release includes PHREEQC files used for geochemical models in the Ohio River alluvial aquifer of West Virginia. The associated publication by McAdoo and Connock (2024) should be consulted to understand the purpose and limitations of these simulations and data. The wateq4f database (Ball and Nordstrom, 1991) was used for the PHREEQC simulation. A report by Parkhurst and Appelo...

Aquaculture and Irrigation Water Use Model (AIWUM) 2.0 Input and Output Datasets for the Mississippi Alluvial Plain, 2014-2020 (ver. 1.1, April 2026) Aquaculture and Irrigation Water Use Model (AIWUM) 2.0 Input and Output Datasets for the Mississippi Alluvial Plain, 2014-2020 (ver. 1.1, April 2026)

The Aquaculture and Irrigation Water Use Model (AIWUM) 2.0 employs remote sensing data sets and Distributed Random Forests (DRF), an ensemble machine learning algorithm, to predict annual groundwater use associated with irrigation and aquaculture from 2014 to 2020 in the Mississippi Alluvial Plain (MAP) and Mississippi embayment regions at 1-kilometer and 100-meter resolution (Majumdar...

Black bear (Ursus Americanus) spatial capture recapture dataset in and near Glacier National Park, Montana, USA, 2004 Black bear (Ursus Americanus) spatial capture recapture dataset in and near Glacier National Park, Montana, USA, 2004

Tabular and raster data containing spatial capture recapture records for male and female black bears (Ursus americanus) in Glacier National Park and surrounding landscape collected from June - October 2004 and associated tabular data files required for analysis of data with spatial capture connectivity models and raster data describing the ouput from SCR models. Associated tables and...

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

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).

Groundwater-quality data in the Gilroy Hollister basin and surrounding areas Domestic-Supply Aquifer Study Unit, 2022: Results from the California GAMA Priority Basin Project Groundwater-quality data in the Gilroy Hollister basin and surrounding areas Domestic-Supply Aquifer Study Unit, 2022: Results from the California GAMA Priority Basin Project

The U.S. Geological Survey collected groundwater samples from 33 wells used for domestic and small system drinking water supplies in Santa Clara and San Benito Counties, California in 2022. The wells were sampled for the Gilroy Hollister basin and surrounding areas Domestic-Supply Aquifer Study Unit of the State Water Resources Control Board Groundwater Ambient Monitoring and Assessment...

USGS National and Global Oil and Gas Assessment Project—Raton Basin-Sierra Grande Uplift Province, Raton Continuous Resources: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables USGS National and Global Oil and Gas Assessment Project—Raton Basin-Sierra Grande Uplift Province, Raton Continuous Resources: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables

This data release contains the boundaries of assessment units and input data for the assessment of undiscovered oil and gas resources in upper Cretaceous marine shales in the Raton Basin-Sierra Grande Uplift Province, Colorado and New Mexico. The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources. The...
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