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The data herein are geochemical (from X-Ray fluorescence spectrometry), grain size (percent clay, silt, sand), lithological (loss on ignition data), bathymetric, reconstructed IVT, and radioactive isotopes (14-C, 210-Pb, 226-Ra, and 137-Cs). These data were collected from sediments from Leonard Lake, Mendocino County, California, USA starting in 2014. Together, these data provide evidence for a record of extreme precipitation going back three millennia, showing regional pluvial and drought cycles.
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This data set provides a polygon shapefile delineating relatively large, slow-moving (4-17 cm/year in the radar line-of-sight direction) landslides in the continental U.S. western coastal states (California, Oregon, and Washington). The polygons also are provided in a Google Earth .kmz file. Delineated landslides were identified from displacement signals captured by InSAR (Interferometric Synthetic Aperture Radar) interferograms of ALOS PALSAR (Advanced Land Observing Satellite; Phased Array type L-band Synthetic Aperture Radar) images between 2007 and 2011, and ALOS-2 PALSAR-2 images between 2015 and 2019. The ALOS PALSAR images utilized cover the three states entirely; the ALOS-2 PALSAR images utilized cover primarily...
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Human factors that influence water availability in the Basin were discovered by reviewing hundreds of published literature items and articles from the literature following an extensive keyword search. The different factors were drawn from reviewing the literature, and datasets to support the factor were researched across open data catalogs and the world wide web. Data related to the Human Factors project water availability sectors of agriculture, industrial, municipal, and those related to ecosystem services, tourism, or other uses can be found here.
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The USGS’s FORE-SCE model was used to produce land-use and land-cover (LULC) projections for the conterminous United States. The projections were originally created as part of the "LandCarbon" project, an effort to understand biological carbon sequestration potential in the United States. However, the projections are being used for a wide variety of purposes, including analyses of the effects of landscape change on biodiversity, water quality, and regional weather and climate. The year 1992 served as the baseline for the landscape modeling. The 1992 to 2005 period was considered the historical baseline, with datasets such as the National Land Cover Database (NLCD), USGS Land Cover Trends, and US Department of Agriculture's...
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In August 2017, the U.S. Geological Survey acquired high-resolution P- and S-wave seismic data near six Southern California Seismic Network (SCSN) recording stations in southern California: CI.OLI Olinda; CI.SRN Serrano; CI.MUR Murrieta; CI.LCG La Cienega; CI.RUS Rush; and CI.STC Santa Clara (Figure 1). These strong-motion recording stations are located inside Southern California Edison electrical substations, critical infrastructures that provide essential services to millions of customers. The primary goals of the seismic survey were to understand the potential for amplified ground shaking and to evaluate lateral variability in shear-wave velocity at these sites. We deployed up to 88 geophones at 2-m or 4-m...
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A hydrodynamic and water-quality model (CE-QUAL-W2) was developed of a 21-mile reach of the upper Illinois River including a 3-mile reach of a major tributary, the Fox River. The CE-QUAL-W2 model is 2-dimensional in the vertical and longitudinal directions and averaged over the lateral direction. Continuous water quality and streamgage data provided time-series data for model boundary conditions. Discrete velocity, cross-section area, and temperature profiles at several locations within the study reach provided model calibration data. The model was calibrated to 2021 and 2022 observed data and validated with 2020 data. Model output consisted of 2-dimensional, laterally averaged hydrodynamic and water-temperature...
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A groundwater Nitrate Decision Support Tool (GW-NDST) for wells in Wisconsin was developed to assist resource managers with assessing how legacy and possible future nitrate leaching rates, combined with groundwater lag times and potential denitrification, influence nitrate concentrations in wells (Juckem et al. 2024). The GW-NDST relies on an ensemble of calibrated parameters to make nitrate predictions and to estimate the uncertainty of those predictions. This data release contains all of the calibrated parameter files required to run the tool. The files are packaged in a single ZIP file. To run the tool, the ZIP package needs to be downloaded and extracted within the pest/ies_parameter_ensembles/ subdirectory...
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The U.S. Geological Survey (USGS) Water Resources Mission Area (WMA) is working to address a need to understand where the Nation is experiencing water shortages or surpluses relative to the demand by delivering routine assessments of water supply and demand. A key part of these national assessments is identifying long-term trends in water availability, including groundwater and surface water quantity, quality, and use. This data release contains Mann-Kendall monotonic trend analyses for annual groundwater metrics at 39,964 wells located in the conterminous United States, Alaska, Hawaii, and Puerto Rico. The groundwater metrics include annual mean, maximum, and minimum water level and the timing of the annual...
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A reach of the North Santiam River, Oregon, was used as a case study in an ongoing effort to develop and test uncrewed aircraft system (UAS)-based salmon habitat mapping techniques using: (1) particle image velocimetry (PIV) for estimating surface flow velocities from remotely sensed data; and (2) two-dimensional (2D) flow modeling based on remotely sensed topography and bathymetry (topo-bathymetry). Direct measurements of flow velocity were obtained using an acoustic Doppler current profiler (ADCP) and used to assess the accuracy of the image-derived velocity estimates and modeled flow fields. Water depth was measured using a single beam echosounder and was used to calibrate and validate image-derived depth estimates...
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Fire history metrics enable rapidly increasing amounts of burned area data to be collapsed into a handful of data layers that can be used efficiently by diverse stakeholders. In this effort, the U.S. Geological Survey's Landsat Burned Area product was used to identify burned area across CONUS over a 40-year period (1984-2023). The Landsat BA product was consolidated into a suite of annual BA products, which in-turn were used to calculate a series of contemporary fire history metrics (30 m resolution). Fire history metrics included: (1) fire frequency (FRQ), (2) time since last burn (TSLB) and (3) year of last burn (YLB), (4) longest fire-free interval (LFFI), and (5) average fire interval length (FIL). All metrics...
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The data in this data release are from an effort focused on understanding social vulnerability to water insecurity, resiliency demonstrated by institutions, and conflict or crisis around water resource management. This data release focuses on definitions and metrics of resilience in water management institutions. Water resource managers, at various scales, are tasked with making complex and time-sensitive decisions in the face of uncertainty, competing objectives, and difficult tradeoffs. To do this, they must incorporate data, tacit knowledge, cultural and organizational norms, and individual or institutional values in a way that maintains consistent and predictable operations under normal circumstances, while...
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This data release provides geochemical, sedimentological, and geochronological data from interbedded fluvial and marsh deposits and radiocarbon dates of the section spanning the last 1500 years from the Pallett Creek paleoseismic site, California. The samples were collected to support paleoenvironmental reconstruction of the site and refine several previous investigations of paleoearthquakes along the San Andreas Fault (Sieh, 1978; Sieh, 1984; Sieh et al., 1989; Biasi and Weldon, 1994; Scharer et al., 2011). Geochemical and sedimentological data include grain size, magnetic susceptibility, dry bulk density, percent total organic matter, and percent total carbonate at contiguous 1 cm spacing and carbon (total C)...
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This data release contains phytoplankton data and vertical profile measurements of water quality and light in oligotrophic (low nutrient) lakes within the Adirondack Park, New York State. Data were collected between June and October 2021 at five lakes. Four lake locations (Nearshore, Open Water, Layer, Bloom) were sampled representing one of four sample types (Bottom Sediment, Surface Water, Bloom Material, Layer). Water-quality field parameters (water temperature, dissolved-oxygen concentration and percent saturation, pH, specific conductance, turbidity, chlorophyll fluorescence, phycocyanin fluorescence, and fluorescent dissolved organic material) were measured at each sampling location from the surface to the...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Adirondack Park, Algal concentration, Blue Mountain Lake, Blue-green algae, Brant Lake, All tags...
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The data set includes the daily streamflow predictions from (Long Short-Term Memory) LSTM models for 45 basins (27 basins in New England region and 18 basins in Great Basin region) in contrasting hydroclimate regions (water-limited Great Basin region and energy-limited New England region) in the United States. Also, the shapefiles of study basins and hydroclimate regions, and data to support the statistical results, figures, and tables are included.
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The U.S. Geological Survey (USGS), in cooperation with the Cook County Bureau of Technology (BOT), prioritized waterbodies (lakes, rivers, and canals) of interest within Cook County to survey in 2022. These surveys describe the bathymetry and basic water-quality conditions observed, and could be used by the BOT to assist with resource management decisions and uses, as well as build an inventory that could be shared with other local governmental agencies. Waterbodies surveyed in 2022 and included in this data release are: Arrowhead Lake, Axehead Lake, Baker's Lake, Belly Deep Slough, Bode Lake North, Bode Lake South, Bull Frog Lake, Busse Lake Main Pool, Busse Lake North Pool, Busse Lake South Pool, Busse Woods...
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The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer is a thematic raster image...
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Jointly managed by multiple states and the federal government, there are many ongoing efforts to characterize and understand water quality in the Delaware River Basin (DRB). Many State, Federal and non-profit organizations have collected surface-water-quality samples across the DRB for decades and many of these data are available through the National Water Quality Monitoring Council's Water Quality Portal (WQP). For this data release, WQP data in the DRB were harmonized, meaning that they were processed to create a clean and readily usable dataset. The harmonization process included the synthesis of parameter names and fractions, the condensation of remarks and other data qualifiers, the resolution of duplicate...
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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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Results from Generalized Additive models (GAM), Random Forest models (RFM), and Cubist models (CUB) for three Dauphin Island Sealab (DIS) operated salinity sites in Mobile Bay are reported in this data release. These sites included Meaher Park (DIS:MHPA1), Middle Bay Lighthouse (DIS:MBLA1), and Dauphin Island (DIS:DPIA1). The constructed models predicted a 40-year daily salinity record from 1980 to 2021 at each site based on incomplete imputed salinity records and several explanatory variables. Explanatory variables included: daily streamflow from 8 United States Geological Survey (USGS) streamgages, daily minimum and maximum temperature, precipitation, vapor pressure, wind speed, wind direction, horizontal and...
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This data release contains links to two child items containing hydrology and hydraulic modeling data and supplemental geospatial data for selected stream crossing sites in the Squannacook River Basin in north-central Massachusetts. The child item named “Hydraulic model data for selected stream crossing sites in the Squannacook River Basin, North-Central Massachusetts” contains U.S. Army Corps of Engineers’ Hydrologic Engineering Center River Analysis System (HEC-RAS) hydraulic model files along with field survey data associated with each stream crossing location. This data release also includes a data dictionary defining culvert designs, site locations, modeled flows and water surface elevations, and aquatic habitat...


map background search result map search result map Conterminous United States Land Cover Projections - 1992 to 2100 Multisource surface-water-quality data and U.S. Geological Survey streamgage match for the Delaware River Basin Data for depth of groundwater used for drinking-water supplies in the United States Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic (ver. 8.0, April 2024) Slow-moving landslides near the U.S. West Coast mapped from ALOS and ALOS-2 InSAR, 2007-2019 High-resolution seismic data acquired at six Southern California Seismic Network (SCSN) recording stations in 2017 Human Factors of Water Availability in the Delaware River Basin Contemporary fire history metrics for the conterminous United States (1984-2023) (ver. 3.0, April 2024) Hydraulic Models and Supplementary Data for Selected Stream Crossing Sites in the Squannacook River Basin, North-Central Massachusetts Bathymetry and Water-Quality Data of Surface Waterbodies in Cook County, Illinois, 2022 Hydrodynamic and Water-Temperature Model of a 21-Mile Reach of the Upper Illinois River, Illinois, 2020 – 2022 Modeled daily salinity derived from multiple machine learning methodologies and Generalized Additive models for three salinity monitoring sites in Mobile Bay, northern Gulf of Mexico, 1980–2021 Parameter ensemble files required to run the Groundwater Nitrate Decision Support Tool for Wisconsin Metrics of Resilience in Water Management Institutions in the Upper Colorado and Delaware River Basins, United States 2022 Sediment properties, charcoal counts, and radiocarbon dates from the Pallett Creek paleoseismic site, San Gabriel Mountains, California (ver. 2.0, February 2024) Long-term monotonic trends in annual groundwater metrics in the United States through 2020 Vertical Profiles of Water Quality and Phytoplankton Data from Five Lakes in the Adirondack Park, New York State, 2021 Streamflow Predictions (2006-2014) from LSTM Models in Water- and Energy-limited Regions in the United States Remotely sensed data acquired from an Uncrewed Aerial System (UAS) and field measurements of flow depth and velocity from the North Santiam River, Oregon, collected in July 2022 Geochemical, grain size, lithological, bathymetric, reconstructed integrated vapor transport, and age model data for Leonard Lake, Mendocino County Remotely sensed data acquired from an Uncrewed Aerial System (UAS) and field measurements of flow depth and velocity from the North Santiam River, Oregon, collected in July 2022 Sediment properties, charcoal counts, and radiocarbon dates from the Pallett Creek paleoseismic site, San Gabriel Mountains, California (ver. 2.0, February 2024) Hydraulic Models and Supplementary Data for Selected Stream Crossing Sites in the Squannacook River Basin, North-Central Massachusetts Modeled daily salinity derived from multiple machine learning methodologies and Generalized Additive models for three salinity monitoring sites in Mobile Bay, northern Gulf of Mexico, 1980–2021 High-resolution seismic data acquired at six Southern California Seismic Network (SCSN) recording stations in 2017 Geochemical, grain size, lithological, bathymetric, reconstructed integrated vapor transport, and age model data for Leonard Lake, Mendocino County Human Factors of Water Availability in the Delaware River Basin Multisource surface-water-quality data and U.S. Geological Survey streamgage match for the Delaware River Basin Parameter ensemble files required to run the Groundwater Nitrate Decision Support Tool for Wisconsin Vertical Profiles of Water Quality and Phytoplankton Data from Five Lakes in the Adirondack Park, New York State, 2021 Slow-moving landslides near the U.S. West Coast mapped from ALOS and ALOS-2 InSAR, 2007-2019 Metrics of Resilience in Water Management Institutions in the Upper Colorado and Delaware River Basins, United States 2022 Streamflow Predictions (2006-2014) from LSTM Models in Water- and Energy-limited Regions in the United States Conterminous United States Land Cover Projections - 1992 to 2100 Contemporary fire history metrics for the conterminous United States (1984-2023) (ver. 3.0, April 2024) Data for depth of groundwater used for drinking-water supplies in the United States Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic (ver. 8.0, April 2024) Long-term monotonic trends in annual groundwater metrics in the United States through 2020