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This dataset provides shapefile outlines of the 7,150 lakes that had temperature modeled as part of this study. The format is a shapefile for all lakes combined (.shp, .shx, .dbf, and .prj files). A csv file of lake metadata is also included. This dataset is part of a larger data release of lake temperature model inputs and outputs for 7,150 lakes in the U.S. states of Minnesota and Wisconsin (http://dx.doi.org/10.5066/P9CA6XP8).
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Daily lake surface temperatures estimates for 185,549 lakes across the contiguous United States from 1980 to 2020 generated using an entity-aware long short-term memory deep learning model. In-situ measurements used for model training and evaluation are from 12,227 lakes and are included as well as daily meteorological conditions and lake properties. Median per-lake estimated error found through cross validation on lakes with in-situ surface temperature observations was 1.24 °C. The generated dataset will be beneficial for a wide range of applications including estimations of thermal habitats and the impacts of climate change on inland lakes.
Categories: Data; Tags: AL, AR, AZ, Alabama, Aquatic Biology, All tags...
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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. Within these provinces, Total Petroleum Systems are defined and Assessment Units are defined and assessed. Each of these provinces is defined geologically, and most province boundaries are defined by major geologic changes. The Appalachian Basin Province is located in the eastern United States, encompassing all or parts of the counties in Alabama, Georgia, Kentucky, Maryland, New Jersey, New York, North Carolina, Ohio, Pennsylvania, Tennessee, Virginia, and West Virginia. The main population centers within the study area are Birmingham, Alabama; Buffalo,...
Categories: Data, pre-SM502.8; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 506701 = Conasauga-Rome/Conasauga, 50670101 = Rome Trough, 506702 = Sevier-Knox Trenton, 50670201 = Lower Paleozoic Carbonates, 506703 = Utica-Lower Paleozoic, All tags...
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Cell maps for each oil and gas assessment unit were created by the USGS to illustrate the degree of exploration, type of production, and distribution of production in an assessment unit or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, dry, or the type of production of the wells located within the cell is unknown. The well information was initially retrieved from the IHS Energy Group, PI/Dwights PLUS Well Data on CD-ROM, which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were...
Categories: Data, pre-SM502.8; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 506301 = Precambrian Nonesuch, 50630101 = Precambrian Nonesuch, 506302 = Ordovician Foster, 50630201 = Ordovician Sandstones and Carbonates, 506303 = Ordovician to Devonian Composite, All tags...
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Cell maps for each oil and gas assessment unit were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in an assessment unit or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, dry, or the type of production of the wells located within the cell is unknown. The well information was initially retrieved from the IHS Energy Group, PI/Dwights PLUS Well Data on CD-ROM, which is a proprietary, commercial database containing information for most oil and gas wells in the...
Categories: Data, pre-SM502.8; Tags: 506701 = Conasauga-Rome/Conasauga, 50670101 = Rome Trough, 506702 = Sevier-Knox Trenton, 50670201 = Lower Paleozoic Carbonates, 506703 = Utica-Lower Paleozoic, All tags...
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This dataset provides shapefile outlines of the 2,332 lakes that had temperature modeled as part of this study. The format is a shapefile for all lakes combined (.shp, .shx, .dbf, and .prj files). A csv file of lake metadata is included, which includes lake metadata and all features that were considered for the meta transfer model (not all meta features were used). This dataset is part of a larger data release of lake temperature model inputs and outputs for 2,332 lakes in the U.S. (https://doi.org/10.5066/P9I00WFR).
This data release component contains water temperature predictions in 118 river catchments across the U.S. Predictions are from the four models described by Rahmani et al. (2020): locally-fitted linear regression, LSTM-noQ, LSTM-obsQ, and LSTM-simQ.
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This data release component contains mean daily stream water temperature observations, retrieved from the USGS National Water Information System (NWIS) and used to train and validate all temperature models. The model training period was from 2010-10-01 to 2014-09-30, and the test period was from 2014-10-01 to 2016-09-30.
Categories: Data; Tags: AL, AR, AZ, Alabama, Arizona, All tags...
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Lake temperature is an important environmental metric for understanding habitat suitability for many freshwater species and is especially useful when temperatures are predicted throughout the water column (known as temperature profiles). In this data release, multiple modeling approaches were used to generate predictions of daily temperature profiles for thousands of lakes in the Midwest. Predictions were generated using two modeling frameworks: a machine learning model (specifically an entity-aware long short-term memory or EA-LSTM model; Kratzert et al., 2019) and a process-based model (specifically the General Lake Model or GLM; Hipsey et al., 2019). Both the EA-LSTM and GLM frameworks were used to generate...
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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 defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown here as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type. The Assessment Unit boundary is defined geologically as the limits of the geologic...
Categories: Data, pre-SM502.8; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 506301 = Precambrian Nonesuch, 50630101 = Precambrian Nonesuch, 506302 = Ordovician Foster, 50630201 = Ordovician Sandstones and Carbonates, 506303 = Ordovician to Devonian Composite, All tags...
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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 South Dakota, North Dakota, Minnesota, Wisconsin, and Michigan. Process-Based (PB) models were configured and calibrated with training data to reduce root-mean squared error. Uncalibrated models used default configurations (PB0; see Winslow et al. 2016 for details) and no parameters were adjusted according to model fit with observations. Process-Guided Deep Learning (PGDL) models were deep learning models with an added physical constraint for energy conservation as a loss term. These models were pre-trained with uncalibrated Process-Based model outputs (PB0) before training...
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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 data release of metabolism model inputs and outputs for 356 streams and rivers across the United States (https://doi.org/10.5066/F70864KX). The complete release includes: modeled estimates of gross primary productivity, ecosystem respiration, and the gas exchange coefficient; model input data and alternative input data; model fit and diagnostic information; site catchment boundaries and site point locations; and potential predictors of metabolism such as discharge and light availability.
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 007, 012, AK, AL, AR, All tags...
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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. Within these provinces, Total Petroleum Systems are defined and Assessment Units are defined and assessed. Each of these provinces is defined geologically, and most province boundaries are defined by major geologic changes. The Michigan Basin Province is located in all of Michigan, except for a small portion of the Upper Penninsula, eastern Wisconsin, northeastern Illinois, northern Indiana, and northwestern Ohio. The main population centers within the study area are Detroit, Grand Rapids, Lansing and Flint, Michigan; Milwakee, Wisconsin; Chicago,...
Categories: Data, pre-SM502.8; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 506301 = Precambrian Nonesuch, 50630101 = Precambrian Nonesuch, 506302 = Ordovician Foster, 50630201 = Ordovician Sandstones and Carbonates, 506303 = Ordovician to Devonian Composite, All tags...
This data release component contains evaluation metrics used to assess the predictive performance of each stream temperature model. For further description, see the metric calculations in the supplement of Rahmani et al. (2020), equations S1-S7.
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The Total Petroleum System is used in the National Assessment Project and incorporates the Assessment Unit, which is the fundamental geologic unit used for the assessment of undiscovered oil and gas resources. The Total Petroleum System is shown here as a geographic boundary defined and mapped by the geologist responsible for the province and incorporates not only the set of known or postulated oil and (or) gas accumulations, but also the geologic interpretation of the essential elements and processes within the petroleum system that relate to source, generation, migration, accumulation, and trapping of the discovered and undiscovered petroleum resource(s).
Categories: Data, pre-SM502.8; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 506701 = Conasauga-Rome/Conasauga, 50670101 = Rome Trough, 506702 = Sevier-Knox Trenton, 50670201 = Lower Paleozoic Carbonates, 506703 = Utica-Lower Paleozoic, All tags...
This data release component contains mean daily stream water temperature observations, retrieved from the USGS National Water Information System (NWIS) and used to train and validate all temperature models. The model training period was from 2010-10-01 to 2014-09-30, and the test period was from 2014-10-01 to 2016-09-30.
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 defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown here as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type. The Assessment Unit boundary is defined geologically as the limits of the geologic...
Categories: Data, pre-SM502.8; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 506704 = Devonain, Shale-Middle and Upper Paleozoic, 50670467 = Foldbelt Marcellus, 50670468 = Interior Marcellus, 50670469 = Western Margin Marcellus, 67 = Appalachian Basin, All tags...
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The Total Petroleum System is used in the National Assessment Project and incorporates the Assessment Unit, which is the fundamental geologic unit used for the assessment of undiscovered oil and gas resources. The Total Petroleum System is shown here as a geographic boundary defined and mapped by the geologist responsible for the province and incorporates not only the set of known or postulated oil and (or) gas accumulations, but also the geologic interpretation of the essential elements and processes within the petroleum system that relate to source, generation, migration, accumulation, and trapping of the discovered and undiscovered petroleum resource(s).
Categories: Data, pre-SM502.8; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 506301 = Precambrian Nonesuch, 50630101 = Precambrian Nonesuch, 506302 = Ordovician Foster, 50630201 = Ordovician Sandstones and Carbonates, 506303 = Ordovician to Devonian Composite, All tags...


map background search result map search result map Metabolism estimates for 356 U.S. rivers (2007-2017): 2a. Site coordinates Process-based water temperature predictions in the Midwest US: 1 Spatial data (GIS polygons for 7,150 lakes) Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning: 1 Lake information for 2,332 lakes Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning: 5 Model predictions Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning: 6 model evaluation Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 2 Observations Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 3 Model inputs Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 5 Model predictions Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 6 Model evaluation Daily surface temperature predictions for 185,549 U.S. lakes with associated observations and meteorological conditions (1980-2020) 2 Observations: Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins National Assessment of Oil and Gas Project - Michigan Basin Province (063) Boundary National Assessment of Oil and Gas Project - Appalachian Basin Province (067) Boundary National Assessment of Oil and Gas Project - Michigan Basin Province (063) Quarter-Mile Cells National Assessment of Oil and Gas Project - Michigan Basin Province (063) Assessment Units National Assessment of Oil and Gas Project Devonian Marcellus Shale of the Appalachian Basin Province (067) Assessment Units National Assessment of Oil and Gas Project - Michigan Basin Province (063) Total Petroleum Systems National Assessment of Oil and Gas Project - Appalachian Basin Province (067) Total Petroleum Systems Daily water column temperature predictions for thousands of Midwest U.S. lakes between 1979-2022 and under future climate scenarios National Assessment of Oil and Gas Project - Appalachian Basin (067) Quarter-Mile Cells National Assessment of Oil and Gas Project - Michigan Basin Province (063) Boundary Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning: 5 Model predictions Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning: 6 model evaluation Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning: 1 Lake information for 2,332 lakes National Assessment of Oil and Gas Project - Michigan Basin Province (063) Quarter-Mile Cells National Assessment of Oil and Gas Project - Michigan Basin Province (063) Assessment Units National Assessment of Oil and Gas Project - Michigan Basin Province (063) Total Petroleum Systems National Assessment of Oil and Gas Project - Appalachian Basin Province (067) Boundary National Assessment of Oil and Gas Project - Appalachian Basin (067) Quarter-Mile Cells National Assessment of Oil and Gas Project - Appalachian Basin Province (067) Total Petroleum Systems Process-based water temperature predictions in the Midwest US: 1 Spatial data (GIS polygons for 7,150 lakes) National Assessment of Oil and Gas Project Devonian Marcellus Shale of the Appalachian Basin Province (067) Assessment Units Daily water column temperature predictions for thousands of Midwest U.S. lakes between 1979-2022 and under future climate scenarios Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 2 Observations Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 3 Model inputs Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 5 Model predictions Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 6 Model evaluation 2 Observations: Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins Daily surface temperature predictions for 185,549 U.S. lakes with associated observations and meteorological conditions (1980-2020) Metabolism estimates for 356 U.S. rivers (2007-2017): 2a. Site coordinates