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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
Process-guided deep learning water temperature predictions: 4a Lake Mendota detailed training data
Department of the Interior —
This dataset includes compiled water temperature data from an instrumented buoy on Lake Mendota, WI and discrete (manually sampled) water temperature records from... -
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
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
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
Metabolism estimates for 356 U.S. rivers (2007-2017): 6. Model outputs
Department of the Interior —
This dataset provides complete fits from metabolism estimation models. The format is 5 files per model (text and tab-delimited files, packaged as 1 zip file per... -
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): 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
Metabolism estimates for 356 U.S. rivers (2007-2017): 1. Site data
Department of the Interior —
This dataset provides site identifiers, details, and quality indicators. The format is a table with 1 row per site (tab-delimited file). This dataset is part of a... -
Federal
Metabolism estimates for 356 U.S. rivers (2007-2017): 3. Timeseries data
Department of the Interior —
This dataset provides timeseries data on water quality and quantity, as collected or computed from outside sources. The format is many tables with one row per time... -
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
Apostle Islands National Lakeshore Small-Scale Base GIS Data
Department of the Interior —
This data set contains small-scale base GIS data layers compiled by the National Park Service Servicewide Inventory and Monitoring Program and Water Resources... -
Federal
Airborne geophysical survey: Central Wisconsin '97, Wisconsin
Department of the Interior —
Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field values and locations. This dataset presents latitude,... -
Federal
Airborne geophysical survey: Jacobsville Contact North, Michigan Survey Part 2 of 2
Department of the Interior —
Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field values and locations. This dataset presents latitude,... -
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
Airborne geophysical survey: Northwest Wisconsin, Wisconsin
Department of the Interior —
Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field values and locations. This dataset presents latitude,... -
Federal
Airborne geophysical survey: Northeastern Wisconsin, Wisconsin
Department of the Interior —
Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field values and locations. This dataset presents latitude,... -
Federal
Airborne geophysical survey: Ironwood Fill-in, Wisconsin
Department of the Interior —
Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field values and locations. This dataset presents latitude,...