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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
Wisconsin Lake Temperature Metrics Increasing Clarity
Department of the Interior —
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... -
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
Process-guided deep learning water temperature predictions: 6 Model evaluation (test data and RMSE)
Department of the Interior —
This dataset includes evaluation data ("test" data) and performance metrics for water temperature predictions from multiple modeling frameworks. Process-Based (PB)... -
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
BLM NM Wilderness Study Areas
Department of the Interior —
This polygon feature class represents the spatial extent and boundaries of the BLM National Landscape Conservation System (NLCS) Wilderness Study Areas. -
Federal
ECHAM5.0 model: Projected shifts in fish species dominance in Wisconsin lakes under climate change
Department of the Interior —
Temperate lakes may contain both coolwater fish species such as walleye (Sander vitreus) and warmwater species such as largemouth bass (Micropterus salmoides). Recent... -
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
Process-guided deep learning water temperature predictions: 1 Spatial data (GIS polygons for 68 lakes)
Department of the Interior —
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... -
Federal
NLDAS model: Projected shifts in fish species dominance in Wisconsin lakes under climate change
Department of the Interior —
Temperate lakes may contain both coolwater fish species such as walleye (Sander vitreus) and warmwater species such as largemouth bass (Micropterus salmoides). Recent... -
State
Private Wells
Vermont Center for Geographic Information —
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... -
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
Spatial data: Projected shifts in fish species dominance in Wisconsin lakes under climate change
Department of the Interior —
Temperate lakes may contain both coolwater fish species such as walleye (Sander vitreus) and warmwater species such as largemouth bass (Micropterus salmoides). Recent... -
Federal
Temperature 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
Process-guided deep learning water temperature predictions: 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-guided deep learning water temperature predictions: 4 Training data
Department of the Interior —
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... -
Federal
Data release: 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
Model drivers: 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
CM2.0 model: Projected shifts in fish species dominance in Wisconsin lakes under climate change
Department of the Interior —
Temperate lakes may contain both coolwater fish species such as walleye (Sander vitreus) and warmwater species such as largemouth bass (Micropterus salmoides). Recent...