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Data release: Process-guided deep learning predictions of lake water temperature
<p>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 managers... -
Airborne geophysical survey: Wisconsin Tie Lines
Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field values and locations. This dataset presents latitude, longitude,... -
Airborne geophysical survey: Jacobsville Contact North, Michigan Survey Part ...
Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field values and locations. This dataset presents latitude, longitude,... -
GENMOM model: Projected shifts in fish species dominance in Wisconsin lakes u...
Temperate lakes may contain both coolwater fish species such as walleye (Sander vitreus) and warmwater species such as largemouth bass (Micropterus salmoides). Recent declines... -
Process-guided deep learning water temperature predictions: 5 Model predictio...
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. Process-... -
Process-guided deep learning water temperature predictions: 4 Training data
This dataset includes compiled water temperature data from a variety of sources, including the Water Quality Portal (Read et al. 2017), the North Temperate Lakes Long-TERM... -
Metabolism estimates for 356 U.S. rivers (2007-2017): 7. Model diagnostics
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, compressed into... -
1 Site Information: Deep learning approaches for improving prediction of dail...
<p>This data release component contains shapefiles of river basin polygons and monitoring site locations coincident with the outlets of those basins. A table of basin... -
Process-guided deep learning water temperature predictions: 4c All lakes hist...
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 learning... -
Metabolism estimates for 356 U.S. rivers (2007-2017): 5. Model configurations
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). The specific... -
CM2.0 model: Projected shifts in fish species dominance in Wisconsin lakes un...
Temperate lakes may contain both coolwater fish species such as walleye (Sander vitreus) and warmwater species such as largemouth bass (Micropterus salmoides). Recent declines... -
Process-guided deep learning water temperature predictions: 5a Lake Mendota d...
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. Process-... -
Process-guided deep learning water temperature predictions: 3b Sparkling Lake...
This dataset includes model inputs that describe local weather conditions for Sparkling Lake, WI. Weather data comes from two sources: locally measured (2009-2017) and gridded... -
ECHAM5.0 model: Projected shifts in fish species dominance in Wisconsin lakes...
Temperate lakes may contain both coolwater fish species such as walleye (Sander vitreus) and warmwater species such as largemouth bass (Micropterus salmoides). Recent declines... -
Airborne geophysical survey: Northwest Wisconsin, Wisconsin
Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field values and locations. This dataset presents latitude, longitude,... -
Exploring the exceptional performance of a deep learning stream temperature m...
<p>This data release component contains model code and configurations for the LSTM and linear regression models used to predict stream temperature.</p> -
Airborne geophysical survey: Southeast Wisconsin, Wisconsin
Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field values and locations. This dataset presents latitude, longitude,... -
Exploring the exceptional performance of a deep learning stream temperature m...
<p>This data release component contains mean daily stream water temperature observations, retrieved from the USGS National Water Information System (NWIS) and used to... -
Deep learning approaches for improving prediction of daily stream temperature...
<p>This data release provides all data and code used in Rahmani et al. (2021b) to model stream temperature and assess results. Briefly, we modeled stream temperature at... -
Metabolism estimates for 356 U.S. rivers (2007-2017): 4. Model inputs
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 zip file...
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