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Federal
Metabolism estimates for 356 U.S. rivers (2007-2017): 7. Model diagnostics
Department of the Interior —
This dataset provides key diagnostics and overall assessments of metabolism model performance. The format is a table with 1 row per model (1 tab-delimited file,... -
Federal
Process-guided deep learning water temperature predictions: 6b Sparkling Lake detailed evaluation data
Department of the Interior —
This dataset includes "test data" compiled water temperature data from an instrumented buoy on Sparkling Lake, WI and discrete (manually sampled) water temperature... -
Federal
Daily water column temperature predictions for thousands of Midwest U.S. lakes between 1979-2022 and under future climate scenarios
Department of the Interior —
Lake temperature is an important environmental metric for understanding habitat suitability for many freshwater species and is especially useful when temperatures are... -
Federal
Process-guided deep learning water temperature predictions: 3c All lakes historical inputs
Department of the Interior —
This dataset includes model inputs that describe weather conditions for the 68 lakes included in this study. Weather data comes from gridded estimates (Mitchell et... -
Federal
GSFLOW groundwater-surface-water model 2016 update for the Trout Lake Watershed
Department of the Interior —
A 2016 update was made to the GSFLOW model documented in SIR 2013-5159, which is available online ( https://pubs.usgs.gov/sir/2013/5159/ ). The original GSFLOW model... -
Federal
MODFLOW-NWT model used to evaluate groundwater/surface-water interactions in the Bad River Watershed, Wisconsin
Department of the Interior —
A groundwater-flow model was developed for the Bad River Watershed and surrounding area by using the U.S. Geological Survey (USGS) finite-difference code MODFLOW–NWT.... -
Federal
Metabolism estimates for 356 U.S. rivers (2007-2017): 2b. Site catchment boundaries
Department of the Interior —
This dataset provides shapefile outlines of the catchments contributing to sites where metabolism was or could have been estimated. The format is a shapefile for all... -
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
Watershed Boundaries for the U.S. Geological Survey Regional Stream Quality Assessment
Department of the Interior —
In 2013, the Regional Stream Quality Assessment (RSQA) study was started as part of the U.S. Geological Survey (USGS) National Water Quality Assessment (NAWQA)... -
Federal
GFLOW model files used to generate probabilistic waste-water plume extents and contributing areas to supply wells for a proposed waste-water infiltration lagoon scenario, Lac du Flambeau, Wisconsin.
Department of the Interior —
This data release contains files for three scenarios of an analytic element (GFLOW) groundwater flow model with particle-tracking that were developed in cooperation... -
Federal
GFLOW groundwater flow model for the southern part of the Nicolet Unit of the Chequamegon-Nicolet National Forest, Wisconsin
Department of the Interior —
The model simulates two-dimensional groundwater flow and base flow in streams in the southern Nicolet Unit of the Chequamegon-Nicolet National Forest using the... -
Federal
MODFLOW-NWT model used to develop a simple method for simulating groundwater interactions with fens to forecast development effects
Department of the Interior —
This groundwater-flow model archive contains all of the input and output files for an inset MODFLOW-NWT model extracted from the northern (Wisconsin) half of a... -
Federal
Water temperature data in the Milwaukee Estuary of Lake Michigan, Milwaukee County, Wisconsin
Department of the Interior —
This dataset contains water temperature data collected by boat tow on August 30, 2019 between approximately 8:00 AM and 12:15 PM Central Standard Time (CST) in the... -
Federal
Results from the literature review meta-analysis for the Chesapeake Stressor Identification Project
Department of the Interior —
This dataset includes information compiled for the literature review meta-analysis portion for the Chesapeake Bay Stressor Identification Project. The dataset... -
Federal
Metabolism estimates for 356 U.S. rivers (2007-2017): 4. Model inputs
Department of the Interior —
This dataset provides input data formatted for use in estimating metabolism. The format is tables of prepared time series inputs (1 tab-delimited file per site, in 1... -
Federal
Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 4 Models
Department of the Interior —
This data release component contains model code and configurations for the LSTM and linear regression models used to predict stream temperature. -
Federal
Multi-stressor literature summary information for Chesapeake Bay stressor identification project
Department of the Interior —
This dataset includes summary information on the reports/studies compiled for the literature review portion of the Chesapeake Bay Stressor identification project.... -
Federal
Specific-Capacity Based Horizontal Hydraulic Conductivity of Coarse-Grained Sediment within the Glacial Deposits
Department of the Interior —
The glacial aquifer system of the United States encompasses all or parts of 25 states and is the most widely used supply of drinking water in the Nation (Maupin and... -
Federal
Process-guided deep learning water temperature predictions: 3 Model inputs (meteorological inputs and ice flags)
Department of the Interior —
This dataset includes model inputs (specifically, weather and flags for predicted ice-cover) and is part of a larger data release of lake temperature model inputs and... -
Federal
Process-based water temperature predictions in the Midwest US: 2 Model configurations (lake metadata and parameter values)
Department of the Interior —
This dataset provides model specifications used to estimate water temperature from the process-based model, General Lake Model verion 2 (Hipsey et al. 2019) using...