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Filters Date Range Past year (1) Past month (0) Past week (0) Past day (0) Custom range... To   Search Types Downloadable (14) Map Service (14) OGC WFS Layer (14) OGC WMS Layer (14) Shapefile (14) OGC WMS Service (3) Citation (2) Contacts Jordan S Read U.S. Geological Survey - ScienceBase Samantha K Oliver Jordan S. Read U.S. Geological Survey More... Categories Data (14) Tag Types Theme (13) Place (13) USGS Scientific Topic Keyword (3) Science Themes (3) Harvest Set (3) Organization (3) Water, Coasts and Ice (3) More... Tag Schemes none (13) U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST (11) ISO 19115 Topic Category (13) USGS Thesaurus (9) Department of Commerce, 1995, Countries, Dependencies, Areas of Special Sovereignty, and Their Principal Administrative Divisions, Federal Information Processing Standard (FIPS) 10-4, Washington, D.C., National Institute of Standards and Technology (11) Common geographic areas (2) Alexandria Digital Library Feature Type Thesaurus (2) More... View Results as: JSON ATOM CSV

Process-based water temperature predictions in the Midwest US: 1 Spatial data (GIS polygons for 7,150 lakes) 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). Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: IA, IL, IN, Illinois, Indiana, All tags... Iowa, MI, MN, MO, Michigan, Minnesota, Missouri, ND, NE, Nebraska, North Dakota, OH, Ohio, SD, South Dakota, US, United States, WI, Wisconsin, climate change, environment, hybrid modeling, inlandWaters, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, water resources, Fewer tags Mores Creek Arm Bathymetric Survey - Depth Contours, Lucky Peak Lake, Boise County, Idaho, May 11 - 13, 2021 In 2004, about 90 migrating elk drowned after attempting to cross thin ice on the Mores Creek arm of Lucky Peak Lake upstream of the Highway 21 bridge. To better understand the depths over a range of reservoir pool elevations in the Mores Creek Arm, the U.S. Geological Survey, in cooperation with the Lucky Peak Power Plant Project, conducted high-resolution multibeam echosounder (MBES) bathymetric surveys on the Mores Creek arm on Lucky Peak Lake. The MBES data will assist reservoir managers and wildlife biologists with regulating reservoir water surface elevations (WSE) to support successful big game migration across Mores Creek on Lucky Peak Lake. Data collection provided nearly 100 percent coverage of bed elevations... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: Boise, GPS measurement, Hypack, Hysweep, ID, All tags... Idaho, Idaho, Lucky Peak Lake, Lucky Peak Lake, Mores Creek, Mores Creek, Multibeam sonar, Pacific Northwest, USA, United States, bathymetry, bathymetry measurement, contouring, dam sites, digital elevation models, elevation, erosion, gaging stations, geospatial analysis, geospatial datasets, inlandWaters, land surveying, location, reference locations, reservoirs, sedimentation, spatial analysis, territorial waters, topographic maps, topography, Fewer tags Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning: 1 Lake information for 2,332 lakes 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). Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 007, 012, IA, IL, Illinois, All tags... Iowa, MI, MN, Michigan, Minnesota, ND, North Dakota, OH, Ohio, SD, South Dakota, US, United States, WI, Wisconsin, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, Fewer tags Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 1 Lake information for 881 lakes This dataset provides shapefile outlines of the 881 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 881 lakes in the U.S. state of Minnesota (https://doi.org/10.5066/P9PPHJE2). Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: MN, Minnesota, SD, South Dakota, US, All tags... United States, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, water resources, Fewer tags Predicting water temperature in the Delaware River Basin: 1 Waterbody information for 456 river reaches and 2 reservoirs This dataset provides one shapefile of polylines for the 456 river segments in this study, and one shapefile of reservoir polygons for the Pepacton and Cannonsville reservoirs. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: DE, Delaware, MD, Maryland, NJ, All tags... NY, New Jersey, New York, PA, Pennsylvania, US, United States, deep learning, environment, forecast, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, streams, temperature, water, water resources, Fewer tags Lake Koocanusa Maximum and Minimum Pool Elevation Contours, Lincoln County, Montana In 2016, the U.S. Army Corps of Engineers (USACE) started collecting high-resolution multibeam echosounder (MBES) data on Lake Koocanusa. The survey originated near the International Boundary (River Mile (RM) 271.0) and extended down the reservoir, hereinafter referred to as downstream, about 1.4 miles downstream of the Montana 37 Highway Bridge near Boulder Creek (about RM 253). USACE continued the survey in 2017, completing a reach that extended from about RM 253 downstream to near Tweed Creek (RM 244.5). In 2018, the U.S. Geological Survey (USGS) Idaho Water Science Center completed the remaining portion of the reservoir from RM 244.5 downstream to Libby Dam (RM 219.9). The MBES data collected in 2016 and 2017... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: GPS measurement, Hypack, Hysweep, Kootenai, Kootenai-Pend Oreille-Spokane, All tags... Lincoln, Montana, Multibeam sonar, Pacific Northwest, United States, Upper Kootenai, bathymetry, bathymetry measurement, contouring, dam sites, digital elevation models, elevation, erosion, gaging stations, geospatial analysis, geospatial datasets, inlandWaters, land surveying, lidar, location, reference locations, reservoirs, sedimentation, spatial analysis, territorial waters, topographic maps, topography, Fewer tags Data to support water quality modeling efforts in the Delaware River Basin: 1) Spatial data for rivers, reservoirs, and monitoring locations This data release contains information to support water quality modeling in the Delaware River Basin (DRB). These data support both process-based and machine learning approaches to water quality modeling, including the prediction of stream temperature. This section provides spatial data files that describe the rivers, reservoirs, and observational data in the Delaware River Basin included in this release. One shapefile of polylines describes the 459 river reaches that define the modeling network, and another shapefile of polygons includes the three reservoirs (Pepacton, Cannonsville, and Neversink) for which data are included in this release. Additionally, a point shapefile contains locations of monitoring sites... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: DE, Delaware, MD, Maryland, NJ, All tags... NY, New Jersey, New York, PA, Pennsylvania, US, United States, environment, inlandWaters, modeling, reservoirs, streams, temperature, water, water quality, water resources, Fewer tags Process-guided deep learning water temperature predictions: 1 Spatial data (GIS polygons for 68 lakes) 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, .dbf, and .prj files). This dataset is part of a larger data release of lake temperature model inputs and outputs for 68 lakes in the U.S. states of Minnesota and Wisconsin (http://dx.doi.org/10.5066/P9AQPIVD). Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 007, 012, Fish, MN, Minnesota, All tags... Northeast CASC, Rivers, Streams and Lakes, US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, Fewer tags North America Rivers and Lakes A joint venture involving the National Atlas programs in Canada (Natural Resources Canada), Mexico (Instituto Nacional de Estadística y Geografía), and the United States (U.S. Geological Survey), as well as the North American Commission for Environmental Cooperation, has led to the release (June 2004) of several new products: an updated paper map of North America, and its associated geospatial data sets and their metadata. These data sets are available online from each of the partner countries for download. The North American Atlas data are standardized geospatial data sets at 1:10,000,000 scale. A variety of basic data layers (e.g. roads, railroads, populated places, political boundaries, hydrography, bathymetry,... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Coastline, Hydrography, Lakes, Reservoirs, Rivers, All tags... Shoreline, Streams, Fewer tags Spatial data: Projected shifts in fish species dominance in Wisconsin lakes under climate change Temperate lakes may contain both coolwater fish species such as walleye (Sander vitreus) and warmwater species such as largemouth bass (Micropterus salmoides). Recent declines in walleye and increases in largemouth bass populations have raised questions regarding the future trajectories and appropriate management actions for these important species. We developed a thermodynamic model of water temperatures driven by downscaled climate data and lake specific characteristics to estimate daily water temperature profiles for 2148 lakes in Wisconsin, USA under contemporary (1989-2014) and future (2040-2064 and 2065-2089) conditions. We correlated contemporary walleye recruitment success and largemouth bass relative abundance... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 007, 012, Fish, Northeast CASC, Rivers, Streams and Lakes, All tags... Secchi depth, US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, Wisconsin, bass, climate change, environment, inlandWaters, lake depth, largemouth bass, modeling, reservoirs, temperate lakes, walleye, water, water clarity, wind sheltering, Fewer tags Data to support near-term forecasts of stream temperature using process-guided deep learning and data assimilation This data release contains the forcings and outputs of 7-day ahead maximum water temperature forecasting models that made real-time predictions in the Delaware River Basin during 2021. The model is driven by weather forecasts and observed reservoir releases and produces maximum water temperature forecasts for the issue day (day 0) and 7 days into the future (days 1-7) at five sites. This data release captures the entire forecasting period that is reported in Zwart et al. 2022, and is an extension of a previous data release that contains all data needed to build these models but only extends to July 16, 2021 (Oliver et al. 2021). Additionally, this release contains a tidy version of the model predictions with paired... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Hydrology, NY, New York, US, USGS Science Data Catalog (SDC), All tags... United States, Water Quality, Water Resources, data assimilation, deep learning, environment, forecasting, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, rivers, temperature, water, water resources, Fewer tags Model predictions for heterogeneous stream-reservoir graph networks with data assimilation This data release provides the predictions from stream temperature models described in Chen et al. 2021. Briefly, various deep learning and process-guided deep learning models were built to test improved performance of stream temperature predictions below reservoirs in the Delaware River Basin. The spatial extent of predictions was restricted to streams above the Delaware River at Lordville, NY, and includes the West Branch of the Delaware River below Cannonsville Reservoir and the East Branch of the Delaware River below Pepacton Reservoir. Various model architectures, training schemes, and data assimilation methods were used to generate the table and figures in Chen et a.l (2021) and predictions of each model are... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Hydrology, NY, New York, PA, Pennsylvania, All tags... US, USGS Science Data Catalog (SDC), United States, Water Quality, Water Resources, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperature, water, water resources, Fewer tags Spatial data: A large-scale database of modeled contemporary and future water temperature data for 10,774 Michigan, Minnesota and Wisconsin Lakes 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 individual lakes, we modelled daily water temperature profiles for 10,774 lakes in Michigan, Minnesota and Wisconsin for contemporary (1979-2015) and future (2020-2040 and 2080-2100) time periods with climate models based on the Representative Concentration Pathway 8.5, the worst-case emission scenario. From simulated temperatures, we derived commonly used, ecologically relevant annual metrics of thermal conditions for each lake. We included all available supporting metadata including satellite and in-situ observations of water clarity, maximum... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 007, 012, Fish, IA, IL, All tags... IN, Illinois, Illinois, Indiana, Indiana, Iowa, Iowa, MI, MN, Michigan, Michigan, Minnesota, Minnesota, Northeast CASC, Rivers, Streams and Lakes, SD, South Dakota, South Dakota, US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, Wisconsin, climate change, environment, inlandWaters, modeling, reservoirs, temperate lakes, thermal profiles, water, Fewer tags Stream temperature predictions in the Delaware River Basin using pseudo-prospective learning and physical simulations Stream networks with reservoirs provide a particularly hard modeling challenge because reservoirs can decouple physical processes (e.g., water temperature dynamics in streams) from atmospheric signals. Including observed reservoir releases as inputs to models can improve water temperature predictions below reservoirs, but many reservoirs are not well-observed. This data release contains predictions from stream temperature models described in Jia et al. 2022, which describes different deep learning and process-guided deep learning model architectures that were developed to handle scenarios of missing reservoir releases. The spatial extent of this modeling effort was restricted to two spatially disjointed regions... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Hydrology, NY, New York, PA, Pennsylvania, All tags... US, USGS Science Data Catalog (SDC), United States, Water Quality, Water Resources, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperature, water, water resources, Fewer tags