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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... -
Private Wells
Private wells in this layer come from the Department of Environmental Conservation's Water Supply Data Composite. Managed by the Water Supply Division's Well Driller and Well... -
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... -
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-... -
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... -
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... -
Wisconsin Lake Temperature Metrics Decreasing Clarity
It is well recognized that the climate is warming in response to anthropogenic emission of greenhouse gases. Over the last decade, this has had a warming effect on lakes. Water... -
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... -
Process-guided deep learning water temperature predictions: 3 Model inputs (m...
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 outputs... -
Model configuration: A large-scale database of modeled contemporary and futur...
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 to manage... -
Temperature data: A large-scale database of modeled contemporary and future w...
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 to manage... -
1995 - 2007 Ecosystem History of South Florida's Estuaries Database Version 9
The 1995 - 2007 Ecosystem History of South Florida's Estuaries Database contains listings of all sites (modern and core), modern monitoring site survey information (water... -
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-... -
Metabolism estimates for 356 U.S. rivers (2007-2017): 2a. Site coordinates
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 a larger... -
Process-guided deep learning water temperature predictions: 1 Spatial data (G...
This dataset provides shapefile of outlines of the 68 lakes where temperature was modeled as part of this study. The format is a shapefile for all lakes combined (.shp, .shx,...
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