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Filters Date Range Past year (4) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions Shapefile (1) Types Downloadable (1) Map Service (1) OGC WFS Layer (1) OGC WMS Layer (1) Shapefile (1) Contacts Jordan S Read Lindsay R Platt U.S. Geological Survey - ScienceBase U.S. Geological Survey Hayley R Corson-Dosch More... Tag Types Theme (9) Place (9) USGS Scientific Topic Keyword (3) Harvest Set (5) Label (1) Tag Schemes 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 (6) none (6) USGS Thesaurus (9) ISO 19115 Topic Category (8) 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 (6) None (1) Common geographic areas (2) More... View Results as: JSON ATOM CSV

Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 7 thermal and optical habitat estimates Using predicted lake temperatures from uncalibrated, process-based models (PB0) and process-guided deep learning models (PGDL), this dataset summarized a collection of thermal metrics to characterize lake temperature impacts on fish habitat for 881 lakes. Included in the metrics are daily thermal optical habitat areas and a set of over 172 annual thermal metrics. Categories: Data; 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 habitat, thermal profiles, water, water resources, 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 Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 6 model evaluation Water temperature estimates from multiple models were evaluated by comparing predictions to observed water temperatures. The performance metric of root-mean square error (in degrees C) is calculated for each lake and each model type, and matched values for predicted and observed temperatures are also included to support more specific error estimation methods (for example, calculating error in a particular month). Errors for the process-based model are compared to predictions as shared in Model Predictions data since these models were not calibrated. Errors for the process-guided deep learning models were calculated from validation folds and therefore differ from the comparisons to Model Predictions because those... Categories: Data; 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 A national harmonized dataset of discrete chlorophyll from lakes and streams (2005-2022) This data release contains a 17-year record (2005-2022) of discrete chlorophyll data from inland waters, collected from across the nation and territories. These data are from discrete samples (collected in the field and analyzed in the laboratory) from plankton (suspended algae) and periphyton (benthic algae) from lakes, streams, rivers, reservoirs, canals, and other sites. These data are gathered to support process and remote sensing modeling and prediction of Harmful Algal Blooms (HABs). The chlorophyll data were compiled from the Water Quality Portal (WQP) and USGS National Water Quality Lab (NWQL). Data for uncorrected chlorophyll a, corrected chlorophyll a, and pheophytin from EPA Methods 445 and 446 are included... Categories: Data; Tags: Aquatic Biology, Ecology, USGS Science Data Catalog (SDC), United States, Water Quality, All tags... Water Quality Portal, chlorophyll a, discrete samples, lake, periphyton, phaeophytin, pheophytin, pipeline, plankton, raw chlorophyll, river, stream, uncorrected chlorophyll, Fewer tags Daily water column temperature predictions for thousands of Midwest U.S. lakes between 1979-2022 and under future climate scenarios 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... Categories: Data; Tags: AR, Arkansas, IA, IL, IN, All tags... Illinois, Indiana, Iowa, KS, KY, Kansas, Kentucky, LA, Louisiana, MI, MN, MO, MS, MT, Michigan, Minnesota, Mississippi, Missouri, Montana, ND, NE, Nebraska, North Dakota, OH, OK, Ohio, Oklahoma, SD, South Dakota, TN, TX, Tennessee, Texas, US, USGS Science Data Catalog (SDC), United States, WI, WY, Wisconsin, Wyoming, climate change, deep learning, environment, inlandWaters, lakes, machine learning, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, water resources, Fewer tags Harmonized continuous water quality data in support of modeling harmful algal blooms in the United States, 2005 - 2022 Harmful algal blooms (HABs) are overgrowths of algae or cyanobacteria in water and can be harmful to humans and animals directly via toxin exposure or indirectly via changes in water quality and related impacts to ecosystems services, drinking water characteristics, and recreation. While HABs occur frequently throughout the United States, the driving conditions behind them are not well understood, especially in flowing waters. In order to facilitate future national model development and characterization of HABs, this data release publishes a synthesized and cleaned collection of HABs-related water quality and quantity data for river and stream sites across the United States. It includes nutrients, major ions, sediment,... Categories: Data; Tags: Aquatic Biology, District of Columbia, Ecology, Puerto Rico, USGS Science Data Catalog (SDC), All tags... United States, Water Quality, algal blooms, data integration, environment, health, inlandWaters, water quality, water resources, Fewer tags Predictions of lake water temperatures for eight reservoirs in Missouri US, 1980-2021 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). This dataset provides estimates of water temperature at half meter depths for eight reservoirs in Missouri, USA using version 3 of the General Lake Model (Hipsey et al. 2019). The reservoirs are: Bull Shoals Lake, Lake Ozark, Lake Stockton, Mark Twain Lake, Pomme De Terre Lake, Table Rock Lake, Truman Reservoir, and Wapapello Lake. Both calibrated and uncalibrated model configurations (see 'GLM_{cal|uncal}_nml.zip' files), as well as, predicted temperatures (see 'GLM_{cal|uncal}_profile_results.zip'... Categories: Data; Tags: AR, Arkansas, Hydrology, MO, Missouri, All tags... US, USGS Science Data Catalog (SDC), United States, Water Quality, Water Resources, environment, inlandWaters, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, water resources, Fewer tags Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 3 Model configurations (lake model parameter values) This dataset provides model parameters used to estimate water temperature from a process-based model (Hipsey et al. 2019) using uncalibrated model configurations (PB0) and the trained model parameters for process-guided deep learning models (PGDL; Read et al. 2019). 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; 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 Concentration Data for 12 Elements of Concern Used in the Development of Surrogate Models for Estimating Elemental Concentrations in Surface Water of Three Hydrologic Basins (Delaware River, Illinois River and Upper Colorado River) The release of elements of concern (EoC) to surface water can involve both natural and anthropogenic sources. Elevated EoC concentrations can pose a risk to human health, wildlife, and ecosystem health, with the modes of toxicity and extent of risk varying as a function of the specific element, its chemical form and the matrix with which it is associated (for example, dissolved versus particulate). As part of the U.S. Geological Survey (USGS) Water Mission Area (WMA) Water Quality Processes Program, the Proxies (Surrogate) Project was created, in part, to develop models that can be used to estimate the concentration of EoC in riverine surface water at spatial scales ranging from (sub)basin to multi-basin. Three... Categories: Data; Tags: Delaware, Illinois, Integrated Water Science, USGS Science Data Catalog (SDC), Upper Colorado, All tags... aluminum, arsenic, cadmium, chromium, computational methods, copper, data processing, datasets, dissolved metals, environmental proxies, inlandWaters, iron, lead, manganese, mercury, modeling, river basin, rivers, uranium, water chemistry, zinc, Fewer tags