Filters: Tags: Mississippi (X) > partyWithName: U.S. Geological Survey (X) > Categories: Data (X)

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Time and Distance of Detection and Stop Locations along North American Breeding Bird Survey routes within the Gulf Coastal Plains & Ozarks Landscape Conservation Cooperative. These data identify the time (0-1 min, 1-2 min,or 2-3 min) and distance (≤50 meters, >50 meters) category when birds were first detected during 3-minutes point counts at stop locations associated with North American Breeding Bird Survey routes or route equivalents that were surveyed on dates between 2009 and 2016 and provide point location coordinates of stop locations along North American Breeding Bird Survey routes or route equivalents within (or within 60 miles) the Gulf Coastal Plains & Ozarks Landscape Conservation Cooperative boundary. Categories: Data; Tags: Alabama, Arkansas, Birds, Central Hardwoods, East Gulf Coastal Plain, All tags... Ecology, Geographic Information Systems, Geospatial Analysis, Gulf Coastal Plain and Ozarks, Kentucky, Louisiana, Mississippi, Mississippi Alluvial Valley, Missouri, North American Breeding Bird Survey, Oklahoma, Statistical Analysis, Tennessee, Texas, USGS Science Data Catalog (SDC), West Gulf Coastal Plain, Wildlife Biology, birds, field monitoring stations, location, statistical surveying, Fewer tags MIROCESM Historical Prescribed Burn Windows for the Southeast United States 1950-1999 Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Alabama, Arkansas, Florida, Georgia, Kentucky, All tags... Louisiana, Mississippi, Missouri, North Carolina, Oklahoma, South Carolina, Southeast United states, Tennessee, Texas, Virginia, West Virginia, farming, fires, geoscientificInformation, managed fire regimes, statistical downscaling, wildfires, Fewer tags BNU Historical Prescribed Burn Windows for the Southeast United States 1950-1999 Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Alabama, Arkansas, Florida, Georgia, Kentucky, All tags... Louisiana, Mississippi, Missouri, North Carolina, Oklahoma, South Carolina, Southeast United states, Tennessee, Texas, Virginia, West Virginia, farming, fires, geoscientificInformation, managed fire regimes, statistical downscaling, wildfires, Fewer tags Machine-learning model predictions and rasters of arsenic and manganese in groundwater in the Mississippi River Valley alluvial aquifer Groundwater from the Mississippi River Valley alluvial aquifer (MRVA) is a vital resource for agriculture and drinking-water supplies in the central United States. Water availability can be limited in some areas of the aquifer by high concentrations of trace elements, including manganese and arsenic. Boosted regression trees, a type of ensemble-tree machine-learning method, were used to predict manganese concentration and the probability of arsenic concentration exceeding a 10 µg/L threshold throughout the MRVA. Explanatory variables for the BRT models included attributes associated with well location and construction, surficial variables (such as hydrologic position and recharge), variables extracted from a MODFLOW-2005... Categories: Data; Tags: Arkansas, Geochemistry, Hydrology, Illinois, Kentucky, All tags... Louisiana, Mississippi, Missouri, Tennessee, USGS Science Data Catalog (SDC), Water Quality, aquifer, boosted regression tree, groundwater, groundwater quality, machine learning, mathematical modeling, Fewer tags Geochemical and Geospatial Data for Per- and Polyfluoroalkyl Substances (PFAS) in Groundwater Used as a Source of Drinking Water in the Eastern United States Concentrations of inorganic constituents, dissolved organic carbon (DOC), tritium, per- and polyfluoroalkyl substances (PFAS), volatile organic compounds (VOCs), and pharmaceuticals were measured in groundwater samples collected from 254 wells in 2019 and 2020. Concentrations of inorganic constituents, DOC, VOCs, and pharmaceuticals were measured at the U.S. Geological Survey (USGS) National Water Quality Laboratory in Lakewood, Colorado. Concentrations of tritium were measured at the USGS Tritium Laboratory in Menlo Park, California. Concentrations of PFAS were measured at SGS Laboratory in Orlando, Florida. In addition, several geospatial parameters were determined, including: percentages of selected land uses... Categories: Data; Tags: Alabama, Florida, Georgia, Hydrology, Illinois, All tags... Indiana, Kentucky, Maine, Massachusetts, Mississippi, NAWQA, New Hampshire, Ohio, PFAS, Pennsylvania, Rhode Island, South Carolina, Tennessee, USGS Science Data Catalog (SDC), Water Quality, West Virginia, cycle 3, groundwater, Fewer tags Molecular and distributional data used to investigate misidentifications, population genetic diversity, and spatiotemporal trends in distribution for Pleurobema riddellii to help guide ESA listing decisions We provide genetic and distribution data for the Louisiana Pigtoe, Pleurobema riddellii, to guide decisions related to federal protection for the species under the U.S. Endangered Species Act. Our final dataset includes 125 COI sequences generated as part of our study representing P. riddellii from eight North American river basins. This includes the COI sequence we generated from a museum specimen collected from the Trinity River in the late 1900s, which is the first genetic confirmation of P. riddellii in the Trinity River basin. Also included are sequences from specimens initially identified as Fusconaia cerina (n=3) Fusconaia flava (n=1), Fusconaia sp. (n=5), Pleurobema sintoxia (n=10), and Pustulosa pustulosa... Categories: Data; Tags: Amite River, Aquatic Biology, Arkansas, Calcasieu River, Genetics, All tags... Lake Pontchartrain, Little River, Louisiana, Mississippi, Neches River, Oklahoma, Ouachita River, Pearl River, Sabine River, Saline River, San Jacinto River, Texas, Trinity River, USGS Science Data Catalog (SDC), biota, conservation, endangered species, freshwater mussels, genetics, range extension, species status assessment, Fewer tags Datasets of Streamflow, Nutrient Concentrations, Loads and Trends for the Mississippi Ambient Water-Quality Network Stations, Water Years 2008 through 2018 This dataset utilized available water-quality data from the Mississippi Department of Environmental Quality and streamflow from the U.S. Geological Survey to estimate total nitrogen and total phosphorus loads and changes in loads from water years 2008 through 2018. Nutrient loads and changes in loads were estimated at 22 state ambient water-quality network sites, and were estimated using LOADEST regression models, Beale-Ratio Estimator, or WRTDS (Weighted Regression on Time, Discharge, and Season). The method selected is based on the evaluation of the flux-bias statistic and use of multiple graphical tools through EGRET to identify and characterize issues with particular models for each given dataset and is included... Categories: Data; Tags: Mississippi, USGS Science Data Catalog (SDC), United States, Water Quality, annual loads, All tags... environment, nutrients, rivers, streamflow, surface-water quality, total nitrogen, total phosphorus, trends, Fewer tags Bridge-Site Study Data for Selected Highway Crossings in Mississippi, 2022 The U.S. Geological Survey (USGS) works closely with the Mississippi Department of Transportation (MDOT) to provide information to be used by the MDOT for design of highway-drainage structures. MDOT spends millions of dollars annually for highway construction. Streamflow records, hydrologic analyses of basins, and hydraulic analyses of flooding potential at proposed highway crossings help the MDOT to make more informed decisions on the use of highway construction funding. Flood-frequency and hydraulic characteristics at highway crossings are determined from historical flood-elevation data recovered by the USGS, cross-section data, and correlations with data from nearby gaging stations. Additional streamflow data... Categories: Data; Tags: Covington County, Harrison County, Holmes County, Hydrology, Kemper County, All tags... Madison County, Mississippi, Mississippi, Perry County, Stone County, Sunflower County, USGS Science Data Catalog (SDC), Yazoo County, boundaries, geoscientificInformation, imageryBaseMapsEarthCover, inlandWaters, location, oceans, transportation, Fewer tags Compilation of Geologic and Seismic Velocity Characteristics at Advanced National Seismic System Strong Motion Accelerometer Sites Near-surface site characteristics are critical for accurately modeling ground motion, which in turn influences seismic hazard analysis and design of critical infrastructure. Currently, there are many strong motion accelerometers within the Advanced National Seismic System (ANSS) that are missing this information. We use a Geographic Information Systems (GIS) based framework to intersect the site coordinates of approximately 5,500 ANSS accelerometers located throughout the United States and its territories with geology and velocity information. We consider: (1) surficial geology from digitized geologic maps (Horton, 2017; Wilson et al., 2015; Sherrod et al., 2007; Bawiec, 1999; Saucedo, 2005; Bedrossian et al., 2012;... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ANSS, Alabama, American Samoa, Arizona, Arkansas, All tags... California, Colorado, Connecticut, Delaware, Florida, Geography, Geophysics, Georgia, Guam, Idaho, Illinois, Indiana, Information Sciences, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Puerto Rico, Remote Sensing, Rhode Island, Seismic site characteristics, Seismology, Soil Sciences, South Carolina, South Dakota, Strong Motion, Structural Geology, Tennesee, Texas, USGS Science Data Catalog (SDC), United States, Utah, Vermont, Virginia, Vs30, Washington, West Virginia, Wisconsin, Wyoming, earthquake seismology, seismic stations, vs30 measurements, vs30 proxy, Fewer tags Daily surface temperature predictions for 185,549 U.S. lakes with associated observations and meteorological conditions (1980-2020) 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... Arizona, Arkansas, CA, CO, CT, California, Colorado, Connecticut, DC, DE, Delaware, District of Columbia, Ecology, FL, Florida, GA, Georgia, Hydrology, IA, ID, IL, IN, Idaho, Illinois, Indiana, Iowa, KS, KY, Kansas, Kentucky, LA, Limnology, Louisiana, MA, MD, ME, MI, MN, MO, MS, MT, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, NC, ND, NE, NH, NJ, NM, NV, NY, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, OH, OK, OR, Ohio, Oklahoma, Oregon, PA, Pennsylvania, RI, Rhode Island, SC, SD, South Carolina, South Dakota, TN, TX, Tennessee, Texas, US, USGS Science Data Catalog (SDC), UT, United States, Utah, VA, VT, Vermont, Virginia, WA, WI, WV, WY, Washington, Water Quality, Water Resources, West Virginia, Wisconsin, Wyoming, climate change, deep learning, environment, inlandWaters, machine learning, modeling, reservoirs, surface temperature, temperate lakes, temperature, water, water resources, Fewer tags Trends in annual peak streamflow quantiles for 2,683 U.S. Geological Survey streamgages in the conterminous United States Measures used to assess trends in the 10th, 50th, and 90th quantiles of annual peak streamflow from 1916-2015 at 2,683 U.S. Geological Survey stations and within 191 4-digit HUCs in the conterminous United States. Linear quantile regression was applied to the selected quantiles of log-transformed annual peak streamflow to represent trends for a range of flood frequencies from small, common floods to large, infrequent floods. Comparative trends in pairs of quantiles were characterized as coherent, convergent, or divergent by comparing the slopes of linear quantile regression equations. Categories: Data; Tags: Alabama, Arizona, Arkansas, California, Colorado, All tags... Connecticut, Conterminous United States, Delaware, District of Columbia, Florida, Georgia, Hydrology, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Puerto Rico, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, USGS Science Data Catalog (SDC), United States, Utah, Vermont, Virginia, Washington, Water Resources, West Virginia, Wisconsin, Wyoming, drought, floods, regression analysis, streamflow, surface water (non-marine), Fewer tags Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 3 Model inputs This data release component contains model inputs including river basin attributes, weather forcing data, and simulated and observed river discharge. Categories: Data; Tags: AL, Alabama, DE, Delaware, GA, All tags... Georgia, IA, ID, Idaho, Iowa, KS, Kansas, MA, MD, ME, MI, MS, Maine, Maryland, Massachusetts, Michigan, Mississippi, NC, NJ, NM, NV, NY, Nevada, New Jersey, New Mexico, New York, North Carolina, OH, OK, OR, Ohio, Oklahoma, Oregon, PA, Pennsylvania, RI, Rhode Island, SC, South Carolina, TN, TX, Tennessee, Texas, US, UT, United States, Utah, VA, Virginia, WA, WI, WV, WY, Washington, West Virginia, Wisconsin, Wyoming, deep learning, environment, inlandWaters, machine learning, modeling, streams, water resources, water temperature, Fewer tags Onshore Industrial Wind Turbine Locations for the United States to March 2014 This data set provides industrial-scale onshore wind turbine locations, corresponding facility information, and turbine technical specifications, in the United States to March 2014. The database has nearly 49,000 wind turbine records that have been collected, digitized, locationally verified, and internally quality assured and quality controlled. Turbines from the Federal Aviation Administration Digital Obstacle File, product date March 2, 2014, were used as the primary source of turbine data points. Verification of the position of turbines was done by visual interpretation using high-resolution aerial imagery in ESRI ArcGIS Desktop. Turbines without Federal Aviation Administration Obstacle Repository System (FAA... Categories: Data; Types: ArcGIS REST Map Service, Citation, Map Service; Tags: Alabama, Alaska, Arizona, Arkansas, California, All tags... Colorado, Connecticut, Delaware, District of Columbia, Florida, GIS, Georgia, Hawaii, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, USGS Science Data Catalog (SDC), Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming, data set, dataset, energy, geospatial datasets, renewable, shapefile, structure, turbine, utilitiesCommunications, wind, wind facility, wind farm, wind turbine, windfarm, Fewer tags Natural Gas Compositional Analyses Dataset of Gases from United States Wells This dataset was created to document the natural occurrence of helium and carbon dioxide throughout the United States. This dataset is sourced primarily from publicly available data from the Bureau of Land Management (BLM) Federal Helium Program and the U.S. Geological Survey (USGS). The Federal Helium Program, which originally began in 1925 under the U.S. Bureau of Mines (USBM) has analyzed thousands of gas samples during its history. These analyses were reported in several publications (Moore and Sigler, 1987; Hamak and Gage, 1992; Hamak and Sigler, 1991, 1993; Sigler, 1994; Hamak and Driskill, 1996; Gage and Driskill, 1998, 2003, 2005; Driskill, 2008), and additional unpublished data residing in an internal BLM... Categories: Data; Tags: API, AR, Alabama, Alaska, Arizona, All tags... Arkansas, Bureau of Land Management, Bureau of Mines, Butane, C2, C3, C6+, CO2, California, Cl, Colorado, Energy Resources, Ethane, Florida, H2, H2S, He, Hexane plus, I-C4, I-C5, Idaho, Illinois, Indiana, Isobutane, Isopentane, Kansas, Kentucky, Louisiana, Maryland, Michigan, Mississippi, Montana, N-C4, N-C5, N2, Natural gas, Nebraska, Nevada, New Mexico, New York, North Dakota, O2, Ohio, Oklahoma, Oregon, Pennsylvania, Pentane, Propane, South Dakota, Tennessee, Texas, USGS, USGS Science Data Catalog (SDC), United States, Utah, Virginia, Washington, West Virginia, Wyoming, Fewer tags BNU Monthly Future Prescribed Burn Windows for the Southeast United States 2010-2099 RCP 4.5 Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Alabama, Arkansas, Florida, Georgia, Kentucky, All tags... Louisiana, Mississippi, Missouri, North Carolina, Oklahoma, South Carolina, Southeast United states, Tennessee, Texas, Virginia, West Virginia, farming, fires, geoscientificInformation, managed fire regimes, statistical downscaling, wildfires, Fewer tags CNRM Monthly Future Prescribed Burn Windows for the Southeast United States 2010-2099 RCP 4.5 Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Alabama, Arkansas, Florida, Georgia, Kentucky, All tags... Louisiana, Mississippi, Missouri, North Carolina, Oklahoma, South Carolina, Southeast United states, Tennessee, Texas, Virginia, West Virginia, farming, fires, geoscientificInformation, managed fire regimes, statistical downscaling, wildfires, Fewer tags GFDLM Monthly Future Prescribed Burn Windows for the Southeast United States 2010-2099 RCP 4.5 Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Alabama, Arkansas, Florida, Georgia, Kentucky, All tags... Louisiana, Mississippi, Missouri, North Carolina, Oklahoma, South Carolina, Southeast United states, Tennessee, Texas, Virginia, West Virginia, farming, fires, geoscientificInformation, managed fire regimes, statistical downscaling, wildfires, Fewer tags MRI Monthly Future Prescribed Burn Windows for the Southeast United States 2010-2099 RCP 4.5 Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Alabama, Arkansas, Florida, Georgia, Kentucky, All tags... Louisiana, Mississippi, Missouri, North Carolina, Oklahoma, South Carolina, Southeast United states, Tennessee, Texas, Virginia, West Virginia, farming, fires, geoscientificInformation, managed fire regimes, statistical downscaling, wildfires, Fewer tags CSIRO Monthly Future Prescribed Burn Windows for the Southeast United States 2010-2099 RCP 8.5 Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Alabama, Arkansas, Florida, Georgia, Kentucky, All tags... Louisiana, Mississippi, Missouri, North Carolina, Oklahoma, South Carolina, Southeast United states, Tennessee, Texas, Virginia, West Virginia, farming, fires, geoscientificInformation, managed fire regimes, statistical downscaling, wildfires, Fewer tags IPSL-CM5A-MR Monthly Future Prescribed Burn Windows for the Southeast United States 2010-2099 RCP 8.5 Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Alabama, Arkansas, Florida, Georgia, Kentucky, All tags... Louisiana, Mississippi, Missouri, North Carolina, Oklahoma, South Carolina, Southeast United states, Tennessee, Texas, Virginia, West Virginia, farming, fires, geoscientificInformation, managed fire regimes, statistical downscaling, wildfires, Fewer tags 1 2 3 4 5 ... 9 »