Found 284 datasets matching "model training".
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MODFLOW-2000 was used within the AnalyzeHOLE program--an integrated wellbore flow analysis tool (https://doi.org/10.3133/tm4F2)--to simulate the 2-D radial flow to each of six wells within three...
Search relevance: 101.83 | Views last month: 0 -
There are 3 child zip files included in this data release. 01_Codebase.zip contains a codebase for using deep learning to filter images based on the probability of any bird occurrence. It...
Search relevance: 95.84 | Views last month: 1 -
This project assesses the effectiveness of a one-day, 5-hour workshop (ESSI training, hereafter) designed for joint instruction by school staff and police to all school staff. The goal was to...
Search relevance: 62.89 | Views last month: 0 -
This submission includes the Long Island Sound (LIS) Tidal Energy Resource Geodatabase developed collaboratively by Integral Consulting Inc. and Future Island Impact (FII) as part of a...
Search relevance: 60.47 | Views last month: 2 -
These data were compiled to support analysis of remote sensing data using the Disturbance Automated Reference Toolset (Nauman et al., 2017). The objective of our study was to assess results of...
Search relevance: 49.85 | Views last month: 0 -
Multiple modeling frameworks were used to predict daily temperatures at 0.5m depth intervals for a set of diverse lakes in the U.S. states of Minnesota and Wisconsin. Process-Based (PB) models...
Search relevance: 43.99 | Views last month: 1 -
On-line infrared absorbance spectroscopy enables rapid measurement of solution-phase molecular species. Many spectra-to-concentration models exist for spectral data, with some models able to...
Search relevance: 43.87 | Views last month: 2 -
These raster images represent continuous surfaces of estimated land cover types for the western Kenai Peninsula circa 1973, circa 2002, and circa 2017. The estimated land cover types (Needleleaf...
Search relevance: 43.73 | Views last month: 0 -
Process-guided deep learning water temperature predictions: 5a Lake Mendota detailed prediction data
Multiple modeling frameworks were used to predict daily temperatures at 0.5m depth intervals for a set of diverse lakes in the U.S. states of Minnesota and Wisconsin. Process-Based (PB) models...
Search relevance: 43.62 | Views last month: 0 -
This file contains value of the model training set confusion matrix, domain of applicability evaluation based on training set to predicted chemicals structural similarity, and 75th percentile...
Search relevance: 43.14 | Views last month: 0 -
The raster image represents a continuous surface of estimated land cover type probabilities for the western Kenai Peninsula circa 1973, circa 2002, and circa 2017. The estimated land cover types...
Search relevance: 43.02 | Views last month: 0 -
An extreme gradient boosting ensemble tree model predicting per- and polyfluoroalkyl substances (PFAS) occurrence in groundwater at the depths typical of the bottom of public and domestic drinking...
Search relevance: 42.70 | Views last month: 5 -
Multiple modeling frameworks were used to predict daily temperatures at 0.5m depth intervals for a set of diverse lakes in the U.S. states of Minnesota and Wisconsin. Process-Based (PB) models...
Search relevance: 42.57 | Views last month: 1 -
Accurate, high-resolution maps of bedrock outcrops are extremely valuable. The increasing availability of high-resolution imagery can be coupled with machine learning techniques to improve...
Search relevance: 41.85 | Views last month: 1 -
This dataset includes evaluation data ("test" data) and performance metrics for water temperature predictions from multiple modeling frameworks. Process-Based (PB) models were configured and...
Search relevance: 40.91 | Views last month: 0 -
A multivariate regression model was developed to predict zero-order oxygen reduction rates (mg/L/yr) in aquifers across the State of Wisconsin. The model used a combination of dissolved oxygen...
Search relevance: 40.85 | Views last month: 0 -
Multiple modeling frameworks were used to predict daily temperatures at 0.5m depth intervals for a set of diverse lakes in the U.S. state of Minnesota. Uncalibrated models used default...
Search relevance: 40.58 | Views last month: 0 -
This dataset includes evaluation data ("test" data) and performance metrics for water temperature predictions from multiple modeling frameworks. Process-Based (PB) models were configured and...
Search relevance: 40.56 | Views last month: 0 -
This is a USEEIO State Model created for Colorado in 2020 that has a limited number of environmental and economic extensions for jobs, greenhouse gas emissions, and value added. The model was...
Search relevance: 40.44 | Views last month: 1 -
This study was an outcome evaluation of the effects of the Duluth Domestic Abuse Intervention Project Training Model for Law Enforcement Response on police officer attitudes toward...
Search relevance: 40.10 | Views last month: 0
