334 datasets found
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Federal
Process-guided deep learning water temperature predictions: 4b Sparkling Lake detailed training data
Department of the Interior —
This dataset includes compiled water temperature data from an instrumented buoy on Sparkling Lake, WI and discrete (manually sampled) water temperature records from... -
Federal
Predicting water temperature in the Delaware River Basin: 4 Model inputs
Department of the Interior —
This dataset includes model inputs including gridded weather data, a stream network distance matrix, stream reach attributes and metadata, and reservoir characteristics. -
Federal
Process-guided deep learning water temperature predictions: 5c All lakes historical prediction data
Department of the Interior —
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.... -
Federal
Projecting Violent Re-Offending in a Parole Population: Developing a Real-Time Forecasting Procedure to Inform Parole Decision-Making, Pennsylvania, 2012-2014
Department of Justice —
The University of Pennsylvania, in collaboration with the Pennsylvania Board of Probation and Parole (PBPP), began developing a violent forecast model utilizing the... -
Federal
NaKnowBase_11202020
U.S. Environmental Protection Agency —
NaKnowBase 11202020 version submitted with Boyes et al., 2022. This dataset is associated with the following publication: Harten, P., H. Helgen, W. Melendez, B.... -
Federal
Process-guided deep learning water temperature predictions: 5a Lake Mendota detailed prediction data
Department of the Interior —
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.... -
Federal
4 Model Code: Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins
Department of the Interior —
This data release component contains model code and configurations for the LSTM models used to predict stream temperature. -
Federal
Process-guided deep learning water temperature predictions: 4c All lakes historical training data
Department of the Interior —
Observed water temperatures from 1980-2018 were compiled for 68 lakes in Minnesota and Wisconsin (USA). These data were used as training data for process-guided deep... -
Federal
Utah FORGE 2439: Machine Learning for Well 16A(78)-32 Stress Predictions
Department of Energy —
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... -
Federal
Dissolved oxygen probability rasters of groundwater in the Mississippi River Valley alluvial and Claiborne aquifers
Department of the Interior —
Groundwater is a vital resource in the Mississippi embayment physiographic region (Mississippi embayment) of the central United States and can be limited in some... -
Federal
1. Model code for model archive: Identifying structural priors in a hybrid differentiable model for stream water temperature modeling
Department of the Interior —
This section provides model code described by Rahmani et al. (2023b). This code accepts basin attributes and forcings and predicts stream temperatures using a... -
Federal
Estimated quantiles for the pour points of 9,203 level-12 hydrologic unit codes in the southeastern United States, 1950--2009
Department of the Interior —
This page contains 15 estimated quantiles for 9,203 level-12 Hydrologic Unit Code in the Southeastern United States for the decades 1950-1959, 1960-1969, 1970-1979,... -
Federal
Chemicals and harmonized functions
U.S. Environmental Protection Agency —
Chemicals and harmonized functions - dataset of chemicals mapped to a harmonized chemical function category. This dataset is associated with the following... -
Federal
Data to support near-term forecasts of stream temperature using process-guided deep learning and data assimilation
Department of the Interior —
This data release contains the forcings and outputs of 7-day ahead maximum water temperature forecasting models that made real-time predictions in the Delaware River... -
Federal
4. Figure code for model archive: Identifying structural priors in a hybrid differentiable model for stream water temperature modeling
Department of the Interior —
This section provides code for reproducing the figures in Rahmani et al. (2023b). The full... -
Federal
Predictive soil property maps with prediction uncertainty at 30-meter resolution for the Colorado River Basin above Lake Mead
Department of the Interior —
These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado... -
Federal
Predictive soil property map: Very fine sand content
Department of the Interior —
These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado... -
Federal
Data and Model Archive for Preliminary Machine Learning Models of Manganese and 1,4-Dioxane in Groundwater on Long Island, New York
Department of the Interior —
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.... -
Federal
Utah FORGE 6-3656: Real-Time Traffic Light System and Reservoir Engineering with Seismicity Forecasting and Ground Motion Prediction - 2025 Workshop Presentation
Department of Energy —
This is a presentation on Real-Time Robust Adaptive Traffic Light System and Reservoir Engineering with Machine-Learning-Based Seismicity Forecasting and Data-Driven... -
Federal
Statistical predictions of groundwater levels and related spatial diagnostics for the Mississippi River Valley alluvial aquifer from the mmlMRVAgen1 statistical machine-learning software, GeoTIFF formatted
Department of the Interior —
A multiple machine-learning model (Asquith and Killian, 2024) implementing Cubist and Random Forest regressions was used to predict monthly mean groundwater levels...
334 datasets found