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This data release includes grids representing the depth and thickness of drinking-water withdrawal zones, polygons of hydrogeologic settings, an inventory of sources of well construction data, and summaries of data comparisons used to assess the depth of groundwater used for drinking-water supplies in the United States. Well construction data sources are documented in Table1_DataSources.xlsx. Data comparisons using the Mann-Whitney test to assess similarity between hydrogeologic settings were used to justify combining data where they were sparse (compare_neighbors_all_domestic.txt and compare_neighbors_all_public.txt). Water-supply-well depth varies geographically by water use and the type of well, which illustrates...
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Data in this dataset were collected as a part of the Student Network for Amphibian Pathogen Surveilance (SNAPs) program throughout the United States by undergraduate students in biology or ecology courses as a part of their curriculum. This data was collected in the field by students and sent to the USGS National Wildlife Health Center (NWHC) for testing of two amphibian fungal pathogens, Batrachochytrium dendrobatidis (Bd) and Batrachochytrium salamandrivorans (Bs). The dataset includes both the field records of the individual amphibians tested and the results for individuals for Bd and Bs. This is Product Number 209311 of the U.S. Geological Survey Amphibian Research and Monitoring Initiative (ARMI).
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Note: this data release has been deprecated. Please see new data release here: https://doi.org/10.5066/P9KXAMKP. Field data for fishes sampled using bottom and surface gill nets during daylight hours in Clear Lake, California, USA. This data release includes all measured environmental parameters and fish taxa included in the analysis. First posted - December 20, 2018 (available from author) Revised - November 26, 2019 (version 2.0) Revised - January 21, 2022 (version 3.0) Revised - December 7, 2022 (Version 4.0)
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Dataset includes publicly available geologic and rainfall data, and environmental and ecological data derived or collected for this project. Specifically, water infiltration measurements, interepreted field-saturated hydraulic conductivity values, ungulate activity, vegetation cover, general soil and weather conditions data are included. Soil samples were collected, lab analyzed, and are included in the dataset. Field-collected data are associated with plots that encompassed approximately a 3 x 3 m area; site data represent approximately 20 x 20 m. First posted: 4 March 2020 (available from author) Revised: April 13, 2020 (version 2.0) The revision is provided due to minor refinement of the dataset and updated...
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First Release: Aug 2017 Revised: May 2018 (ver. 1.1) Time-series data of velocity, pressure, turbidity, conductivity, and temperature were collected near the mouth of the Elwha River, Washington, USA, from December 2010 through October 2014, for the Department of Interior’s Elwha River Restoration project. As part of this project, the U.S. Geological Survey studied the effects of renewed sediment supplies on the coastal ecosystems before, during, and following the removal of two dams, Elwha and Glines Canyon, from the Elwha River. Removal of the dams reintroduced sediment stored in the reservoirs to the river, and the river moved much of this sediment to the coast. Several benthic tripods were instrumented with...
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The geochemical data included here were generated as part of the Earth Mapping Resources Initiative (Earth MRI), which was developed by the U.S. Geological Survey (USGS) in response to a Federal directive calling on various Federal agencies to address potential vulnerabilities in the Nation’s supply of critical mineral resources. Earth MRI is a partnership between the USGS, State Geological Surveys, and industry coordinating with other federal agencies to accomplish the mission. The primary purpose of this initiative is to identify potentially mineralized areas containing critical minerals by gathering new basic geologic data about the United States and its territories and to make these data publicly available through...
Categories: Data, Data Release - Revised; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: Alabama, Alaska, Alaska Division of Geological & Geophysical Surveys, Arizona, Arizona Geological Survey, All tags...
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Introduction CONUS404 is a unique, high-resolution hydro-climate dataset appropriate for forcing hydrological models and conducting meteorological analysis over the contiguous United States. CONUS404, so named because it covers the CONtiguous United States for 40 years at 4-km resolution, was produced by the Weather Research and Forecasting (WRF) Model simulations run by National Center for Atmospheric Research (NCAR) as part of a collaboration with the U.S. Geological Survey (USGS) Water Mission Area. In fact, CONUS404 includes 43 years of data (water years 1980-2022) and the spatial domain extends beyond the CONUS into Canada and Mexico, thereby capturing transboundary river basins and covering all contributing...
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These tabular data were compiled for/to monitor vegetation and biocrust cover in a never grazed grassland located in Canyonlands National Park. An objective, or objectives, of our study was to document potential changes in biocrust and vegetation cover and species composition as related to changes in land use and climate change. These data represent a timeseries of long-term vegetation and biocrust monitoring plots, dating from 1996 to 2021. These data were collected at/in Virginia Park, Needles District of Canyonlands National Park, Utah. These data were collected by the U.S. Geological Survey, Southwest Biological Research Center in coordination with the US National Park Service. Data were collected via field...
Categories: Data, Data Release - Revised; Tags: Canyonlands National Park, Colorado Plateau, Needles District, San Juan County, USGS Science Data Catalog (SDC), All tags...
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This dataset is a collection of hyperspectral imagery profiles of 13 common algae associated with Harmful Algae Blooms (HAB). Data were retrieved from a hyperspectral microscope at, and with the cooperation of, the National Institute of Standards and Technology. Samples were collected from USGS water quality sampling efforts, and were also purchased from commercial vendors of biological materials. Data are shown in basic hyperspectral imagery form, transformed into the first derivative and corrected with a flat field algorithm to account for variations in locale lighting conditions. First posted - January 6, 2020 (available from author) Revised - October 30, 2020 (version 2.0)
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Sleeper populations are established populations of introduced species whose population growth is limited by one or more abiotic or biotic conditions. Sleeper populations pose an invasion risk if a change in those limiting conditions, such as climate change, enables population growth and invasion. With thousands of established species, it is critical that we identify and prioritize potential sleepers. Here, we identified non-native plants established in the northeastern United States with high impacts and the potential to expand with climate change. We focused on 118 taxa regulated by one or more state outside the Northeast plus 61 taxa recorded as invasive globally and under consideration for regulation in the Northeast....
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This data release consists of Microsoft Excel workbooks, shapefiles, and a figure (png format) related to a cooperative project between the U.S. Geological Survey (USGS) and the Florida Flood Hub for Applied Research and Innovation at the University of South Florida to derive projected future change factors for precipitation depth-duration-frequency (DDF) curves at 242 National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in Florida. The change factors were computed as the ratio of projected future (2020-59 or 2050-89) to historical (1966-2005) extreme-precipitation depths fitted to extreme-precipitation data using a constrained maximum likelihood (CML) approach as described in https://doi.org/10.3133/sir20225093....
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This dataset contains argon-argon and U-Pb geochronologic data collected from igneous rocks in the Stillwater Range, Clan Alpine, and Desatoya Mountains, western Nevada, USA First posted - November 16, 2017 Revised - February 26, 2019 (version 2.0) Revised - December 12, 2023 (version 3.0)
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Airborne electromagnetic (AEM), magnetic, and radiometric data were acquired in late February to early March 2018 along 2,364 line-kilometers in the Shellmound, Mississippi study area. Data were acquired by CGG Canada Services, Ltd. with three different helicopter-borne sensors: the CGG Canada Services, Ltd. RESOLVE frequency-domain AEM instrument that is used to map subsurface geologic structure at depths up to 100 meters, depending on the subsurface resistivity; a Scintrex CS-3 cesium vapor magnetometer that detects changes in deep (hundreds of meters to kilometers) geologic structure based on variations in the magnetic properties of different formations; and a Radiation Solutions RS-500 spectrometer that detects...
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This dataset contains two phases of research. The first dataset includes several variables that were sampled across aspen stands in the Santa Rosa, Ruby, and Jarbidge mountain ranges (Great Basin, Northern Nevada, USA) in 2010 and 2011. Across 101 aspen sites, several plot-level attributes were collected (e.g. elevation, slope, aspen stand type). For each plot, data describing live trees (both those less than 7.5 cm diameter and those greater than/equal to 7.5 cm) are included, such as species, diameter, and age. The data set also includes information for dead trees greater than/equal to 7.5 cm diameter (e.g. species, location, diameter). The second dataset includes tree ring measurements (for live trees greater...
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In this study, we create and evaluate a protocol to estimate the density, which can be used to estimate the abundance of terrestrial sound-producing animals from single automatic sound recorders. The protocol uses cue rates from the target species as well as sampling conditions and an estimate of the distance of the individual to the recorder based on the power of the sound. We applied our protocol to estimate the density of two Hawaiian forest bird species (Hawaiˊi ˊamakihi, Chlorodrepanis virens and ˊōmaˊo, Myadestes obscurus) on the island of Hawaiˊi, USA. We validate our approach by comparing our density estimations with others calculated at the same stations using a traditional point-transect distance sampling...
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Near-field remote sensing methods were used to collect Doppler velocity and pulsed stage radar data at 10 conventional U.S. Geological Survey streamgages in river reaches with varying hydrologic and hydraulic characteristics. Basin sizes ranged from 381 to 66,200 square kilometers and included agricultural, desert, forest, mixed, and high-gradient mountain environments. During the siting and operational phases, radar-derived mean-channel (mean) velocity and discharge were computed using the Probability Concept (PC) and were compared against conventional instantaneous measurements and stage-discharge time series. During siting phase, radars were located, installed, and PC parameters computed. To test the efficacy...
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Various water column variables, including salinity, dissolved inorganic nutrients, dissolved inorganic carbon, and radio-carbon isotopes were measured in samples collected using a Niskin-bottle rosette at selected depths from deepwater sites offshore the US Mid- and South Atlantic from September 2017 to April 2019. CTD (Conductivity Temperature Depth) data were also collected at each depth that a Niskin-bottle sample was collected and are presented along with the water sample data during the following five cruises: PC1704 (USGS field activity 2017-004-FA) in September 2017, ENG615 (USGS field activity 2018-024-FA) in June 2018, AT41 (USGS field activity 2018-042-FA) in August 2018, BMCC-2018 (USGS field activity...
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This dataset contains the trace elements, cations, anions, disinfection by-products, per- and polyfluoroalkyl substances (PFAS), pharmaceutical and pesticide concentration results for the tapwater study conducted in California, November, 2020 through May, 2021. Trace elements, cations and anions were analyzed at the U.S. Geological Survey Redox Chemistry Laboratory in Boulder, Colorado. The disinfection by-product compounds were analyzed at the U.S. Geological Survey Organic Chemistry Research Laboratory in Sacramento, California. Concentration results for PFAS, as well as surrogate percent recovery information, were analyzed at the National Water Quality Laboratory (NWQL) in Denver, Colorado, and were added in...
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Mainstem rivers are the backbone of a connected network of hydrologic units that cover the landscape. A mainstem connects a headwater source area to an outlet. This data release identifies the same mainstem paths in hydrographic datasets for the conterminous US. The Mainstems dataset includes cross walks between mainstem identifiers and several hydrographic datasets. These cross walk tables do not include geometry. It also includes a summary of all mainstems with headwater and outlet identifiers from other datasets for those mainstems that could be matched. The summary table has highly simplified geometry and should be used for visualization purposes only. Any analysis should rely on source dataset geometry. As...


map background search result map search result map Geochemical and geochronologic data from the Stillwater Range, Clan Alpine, and Desatoya Mountains, Nevada (ver. 3.0, December 2023) Abundance and Distribution of Clear Lake Hitch in Clear Lake, Lake County, California, 2017-2022 (ver. 4.0, December 2022) Airborne electromagnetic, magnetic, and radiometric survey, Shellmound, Mississippi, March 2018 (ver. 2.0, March 2024) Northern Nevada aspen (Populus tremuloides) data (2010-2011) (ver. 2.0, January 2024) Hyperspectral Characterization of Common Cyanobacteria Associated with Harmful Algal Blooms (ver. 2.0, October 2020) Hawaiian Islands datasets quantifying the effects of invasive animals and plants on native forests across the archipelago 2019 (ver. 2.0 April 2020) Radar-based field measurements of surface velocity and discharge from 10 U.S. Geological Survey streamgages for various locations in the United States, 2002-19 (ver. 2.0, January 2022) Data for depth of groundwater used for drinking-water supplies in the United States Geochemical data generated by projects funded by the USGS Earth Mapping Resources Initiative (ver. 9.0, February 2024) Biocrust cover, vegetation, and climate data from a protected grassland within Canyonlands National Park, Utah (ver. 2.0, Sept. 2023) Concentrations of organic and inorganic constituents in tapwater samples from California in 2020-21 (ver. 3.1, March 2024) Water-column environmental variables and accompanying discrete CTD measurements collected offshore the U.S. Mid- and South Atlantic (ver. 2.0, July 2022) CONUS404: Four-kilometer long-term regional hydroclimate reanalysis over the conterminous United States (ver. 2.0, December 2023) Mainstem Rivers of the Conterminous United States (ver. 2.0, February 2023) Student Network for Amphibian Pathogen Surveillance Data (ver. 2.0, April 2024) Change factors to derive projected future precipitation depth-duration-frequency (DDF) curves at 242 National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in Florida (ver 1.1, September 2023) Northeast Sleeper Species Database (ver. 2.0, May 2024) Biocrust cover, vegetation, and climate data from a protected grassland within Canyonlands National Park, Utah (ver. 2.0, Sept. 2023) Abundance and Distribution of Clear Lake Hitch in Clear Lake, Lake County, California, 2017-2022 (ver. 4.0, December 2022) Hyperspectral Characterization of Common Cyanobacteria Associated with Harmful Algal Blooms (ver. 2.0, October 2020) Airborne electromagnetic, magnetic, and radiometric survey, Shellmound, Mississippi, March 2018 (ver. 2.0, March 2024) Northern Nevada aspen (Populus tremuloides) data (2010-2011) (ver. 2.0, January 2024) Geochemical and geochronologic data from the Stillwater Range, Clan Alpine, and Desatoya Mountains, Nevada (ver. 3.0, December 2023) Hawaiian Islands datasets quantifying the effects of invasive animals and plants on native forests across the archipelago 2019 (ver. 2.0 April 2020) Change factors to derive projected future precipitation depth-duration-frequency (DDF) curves at 242 National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in Florida (ver 1.1, September 2023) Water-column environmental variables and accompanying discrete CTD measurements collected offshore the U.S. Mid- and South Atlantic (ver. 2.0, July 2022) Concentrations of organic and inorganic constituents in tapwater samples from California in 2020-21 (ver. 3.1, March 2024) Northeast Sleeper Species Database (ver. 2.0, May 2024) Mainstem Rivers of the Conterminous United States (ver. 2.0, February 2023) Data for depth of groundwater used for drinking-water supplies in the United States Student Network for Amphibian Pathogen Surveillance Data (ver. 2.0, April 2024) CONUS404: Four-kilometer long-term regional hydroclimate reanalysis over the conterminous United States (ver. 2.0, December 2023) Geochemical data generated by projects funded by the USGS Earth Mapping Resources Initiative (ver. 9.0, February 2024) Radar-based field measurements of surface velocity and discharge from 10 U.S. Geological Survey streamgages for various locations in the United States, 2002-19 (ver. 2.0, January 2022)