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Federal
Data release: Process-based predictions of lake water temperature in the Midwest US
Department of the Interior —
Climate change has been shown to influence lake temperatures in different ways. To better understand the diversity of lake responses to climate change and give... -
Federal
Process-based water temperature predictions in the Midwest US: 5 Model 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
Process-based water temperature predictions in the Midwest US: 4 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
Oil and Gas Exploration and Production in the State of Indiana Shown as Quarter-Mile Cells
Department of the Interior —
A cells polygon feature class was created by the U. S. Geological Survey (USGS) to illustrate the degree of exploration, type of production, and distribution of... -
Federal
5 Model Predictions: Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins
Department of the Interior —
This data release item contains water temperature predictions for 455 river sites across the U.S. Predictions are from the models described by Rahmani et al. (2021b). -
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
Metabolism estimates for 356 U.S. rivers (2007-2017): 5. Model configurations
Department of the Interior —
This dataset provides model specifications used to estimate metabolism. The format is a table with 1 row per model (1 tab-delimited file, compressed into zip file).... -
Federal
Metabolism estimates for 356 U.S. rivers (2007-2017): 2a. Site coordinates
Department of the Interior —
This dataset provides site locations as shapefile points. The format is a shapefile for all sites combined (.shp, .shx, .dbf, and .prj files). This dataset is part of... -
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
Thermal metrics: A large-scale database of modeled contemporary and future water temperature data for 10,774 Michigan, Minnesota and Wisconsin Lakes
Department of the Interior —
Climate change has been shown to influence lake temperatures globally. To better understand the diversity of lake responses to climate change and give managers tools... -
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
Metabolism estimates for 356 U.S. rivers (2007-2017): 8. Metabolism estimates and predictors
Department of the Interior —
This dataset provides daily metabolism estimates and potential predictor variables to support further exploration. The format is a table with 1 row per site-date... -
Federal
Process-based water temperature predictions in the Midwest US: 3 Temperature observations
Department of the Interior —
Observed water temperatures from 1980-2019 were compiled for 5,584 lakes in Minnesota and Wisconsin (USA). A subset of these data were used as calibration for... -
Federal
National Assessment of Oil and Gas Project - Michigan Basin Province (063) Boundary
Department of the Interior —
The USGS Central Region Energy Team assesses oil and gas resources of the United States. The onshore and State water areas of the United States comprise 71 provinces.... -
Federal
Spatial data: A large-scale database of modeled contemporary and future water temperature data for 10,774 Michigan, Minnesota and Wisconsin Lakes
Department of the Interior —
Climate change has been shown to influence lake temperatures globally. To better understand the diversity of lake responses to climate change and give managers tools... -
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
Model configuration: A large-scale database of modeled contemporary and future water temperature data for 10,774 Michigan, Minnesota and Wisconsin Lakes
Department of the Interior —
Climate change has been shown to influence lake temperatures globally. To better understand the diversity of lake responses to climate change and give managers tools... -
Federal
National Assessment of Oil and Gas Project - Illinois Basin Province (064) Assessment Units
Department of the Interior —
The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is... -
Federal
2 Observations: 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 mean daily stream water temperature observations, retrieved from the USGS National Water Information System (NWIS) and used to... -
Federal
3 Model Forcings: 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 inputs including river basin attributes, weather forcing data, and simulated and observed river discharge.