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Federal
Management summary table for INHABIT species potential distribution across the contiguous United States: additional management units
Department of the Interior —
We developed habitat suitability models for invasive plant species selected by Department of Interior land management agencies. We applied the modeling workflow... -
State
i04 VICGrid
State of California —
VIC grid polygons represent the Variable Infiltration Capacity (VIC) model spatial discretization of input forcing parameters (precipitation, temperature, wind... -
Federal
October 2021 Most Probable 24-Month Study
Department of the Interior —
The Most Probable 24-Month Study report describes projected operations and power generation for Colorado River system reservoirs including Fontenelle, Flaming Gorge,... -
Federal
October 2012 Probable Minimum 24-Month Study
Department of the Interior —
The Probable Minimum 24-Month Study report describes projected operations and power generation for Colorado River system reservoirs including Fontenelle, Flaming... -
Federal
Data and model code in support of Stream nitrate dynamics driven primarily by discharge and watershed physical and soil characteristics at intensively monitored sites, Insights from deep learning
Department of the Interior —
We developed a suite of models using deep learning to make hindcast predictions of the 7-day average backward-looking nitrate concentration at 46 predominantly... -
Federal
EnviroAtlas - Brownsville, TX - Ecosystem Services by Block Group
U.S. Environmental Protection Agency —
This EnviroAtlas dataset presents environmental benefits of the urban forest in 120 block groups in Brownsville, Texas. Carbon attributes, temperature reduction,... -
Federal
Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 4 Model inputs (meteorological inputs, clarity, and ice flags)
Department of the Interior —
This dataset includes model inputs (specifically, weather, water clarity, and flags for predicted ice-cover) and is part of a larger data release of lake temperature... -
Federal
RTOFS Forecast, 3D, 6-Hourly, Region 2 (US West), Latest Model Run, today - today+8days
National Oceanic and Atmospheric Administration, Department of Commerce —
The global operational Real-Time Ocean Forecast System (Global RTOFS) at the NOAA National Centers for Environmental Prediction is based on an eddy resolving 1/12°... -
Federal
Predicting water temperature in the Delaware River Basin: 3 Model configurations
Department of the Interior —
This dataset includes model parameters and metadata used to configure models. -
Federal
Model code, outputs, and supporting data for approaches to process-guided deep learning for groundwater-influenced stream temperature predictions
Department of the Interior —
This model archive provides all data, code, and modeling results used in Barclay and others (2023) to assess the ability of process-guided deep learning stream... -
Federal
AllCases_Sediment_Fluxes: Model Sensitivity to Sediment Parameters and Bed Composition in Delft3D: Model Output
Department of the Interior —
The sensitivity to sediment parameterization and initial bed configuration on sediment transport processes and morphological evolution are assessed through process-... -
Federal
Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 7 thermal and optical habitat estimates
Department of the Interior —
Using predicted lake temperatures from uncalibrated, process-based models (PB0) and process-guided deep learning models (PGDL), this dataset summarized a collection... -
Federal
September 2008 Most Probable 24-Month Study
Department of the Interior —
The Most Probable 24-Month Study report describes projected operations and power generation for Colorado River system reservoirs including Fontenelle, Flaming Gorge,... -
Federal
Process-guided deep learning water temperature predictions: 6a Lake Mendota detailed evaluation data
Department of the Interior —
This dataset includes "test data" compiled water temperature data from an instrumented buoy on Lake Mendota, WI and discrete (manually sampled) water temperature... -
Federal
Everglades Vulnerability Analysis (EVA) modeling scripts and output
Department of the Interior —
The Everglades Vulnerability Analysis (EVA) is a series of connected Bayesian networks that models the landscape-scale response of indicators of Everglades ecosystem... -
Federal
April 2001 Most Probable 24-Month Study
Department of the Interior —
The Most Probable 24-Month Study report describes projected operations and power generation for Colorado River system reservoirs including Fontenelle, Flaming Gorge,... -
Federal
June 2012 Most Probable 24-Month Study
Department of the Interior —
The Most Probable 24-Month Study report describes projected operations and power generation for Colorado River system reservoirs including Fontenelle, Flaming Gorge,... -
Federal
GrandBay_ValidationPeriod_Wave_WaterLevel: Modeling the Effects of Interior Headland Restoration on Estuarine Sediment Transport Processes in a Marine-Dominant Estuary: Delft3D Model Output
Department of the Interior —
The effects of interior headland restoration on estuarine sediment transport processes are assessed through process-based numerical modeling. Three proposed interior... -
Federal
Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 1 Spatial information
Department of the Interior —
This data release component contains a shapefile of monitoring site locations coincident with the outlets of the 118 river basins modeled by Rahmani et al.... -
Federal
Process-guided deep learning water temperature predictions: 3a Lake Mendota inputs
Department of the Interior —
This dataset includes model inputs that describe local weather conditions for Lake Mendota, WI. Weather data comes from two sources: locally measured (2009-2017) and...