Found 219 datasets matching "machine learning model".
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Data and code for "Dawson, D.E.; Lau, C.; Pradeep, P.; Sayre, R.R.; Judson, R.S.; Tornero-Velez, R.; Wambaugh, J.F. A Machine Learning Model to Estimate Toxicokinetic Half-Lives of Per- and...
Search relevance: 226.59 | Views last month: 2 -
This child item describes a public-supply delivery machine learning model that was developed to estimate public-supply deliveries. Publicly supplied water may be delivered to domestic users or to...
Search relevance: 189.10 | Views last month: 1 -
Enhanced geothermal systems (EGS) can provide a sustainable and renewable solution to the new energy transition. Its potential relies on the ability to create a reservoir and to accurately...
Search relevance: 171.49 | Views last month: 0 -
Boosted regression trees (BRT), a type of ensemble-tree machine-learning method, were used to predict specific conductance concentration at multiple depths throughout the Mississippi River Valley...
Search relevance: 169.98 | Views last month: 0 -
This data release contains one dataset and one model archive in support of the journal article "Leveraging machine learning to automate regression model evaluations for large multi-site...
Search relevance: 165.62 | Views last month: 2 -
A machine learning streamflow (MLFLOW) model was developed in R (model is in the Rscripts folder) for modeling monthly streamflow from 2012 to 2017 in three watersheds on the Wyoming Range in the...
Search relevance: 159.01 | Views last month: 0 -
This child item describes a machine learning model that was developed to estimate public-supply water use by water service area (WSA) boundary and 12-digit hydrologic unit code (HUC12) for the...
Search relevance: 155.56 | Views last month: 1 -
Groundwater from the Mississippi River Valley alluvial aquifer (MRVA) is a vital resource for agriculture and drinking-water supplies in the central United States. Water availability can be...
Search relevance: 153.60 | Views last month: 0 -
This data set provides heat detector temperatures in a single story three-compartment structure. 1000 sets of detector temperatures are generated using CData [1]. The data set are obtained based...
Search relevance: 153.44 | Views last month: 0 -
Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including...
Search relevance: 148.26 | Views last month: 2 -
Data and preliminary machine-learning models used to predict manganese and 1,4-dioxane in groundwater on Long Island are documented in this data release. Concentration data used to develop the...
Search relevance: 144.83 | Views last month: 1 -
Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including...
Search relevance: 140.99 | Views last month: 1 -
Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including...
Search relevance: 140.09 | Views last month: 0 -
Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including...
Search relevance: 127.83 | Views last month: 0 -
These are hydrometeorological datasets obtained from US national data repositories as inputs to a hydrologic model and model simulations over the St. Joseph River Watershed (SJRW) for both gauged...
Search relevance: 125.52 | Views last month: 0 -
This submission contains geotiffs, supporting shapefiles and readmes for the inputs and output models of algorithms explored in the Nevada Geothermal Machine Learning project, meant to accompany...
Search relevance: 122.48 | Views last month: 0 -
This report presents the far-field stress predictions at two locations along the vertical section of Utah FORGE Well 16A (78)-32 using a physics-based thermo-poro-mechanical model. Three principal...
Search relevance: 121.68 | Views last month: 0 -
Groundwater is a vital resource in the Mississippi embayment physiographic region (Mississippi embayment) of the central United States and can be limited in some areas by high concentrations of...
Search relevance: 113.39 | Views last month: 2 -
This report reviews the training of machine learning algorithms to laboratory triaxial ultrasonic velocity data for Utah FORGE Well 16A(78)-32. Three machine learning (ML) predictive models were...
Search relevance: 109.40 | Views last month: 2 -
This submission includes example files associated with the Geothermal Operational Optimization using Machine Learning (GOOML) Big Kahuna fictional power plant, which uses synthetic data to model a...
Search relevance: 105.95 | Views last month: 0
