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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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This data release contains monthly 270-meter resolution Basin Characterization Model (BCMv8) climate and hydrologic variables for Localized Constructed Analog (LOCA; Pierce et al., 2014)-downscaled Global Climate Models (GCMs) for Representative Concentration Pathway (RCP) 4.5 (medium-low emissions) and 8.5 (high emissions) for hydrologic California. The 20 future climate scenarios consist of ten GCMs with RCP 4.5 and 8.5 each: ACCESS 1.0, CanESM2, CCSM4, CESM1-BGC, CMCC-CMS, CNRM-CM5, GFDL-CM3, HadGEM2-CC, HadGEM2-ES, and MIROC5. The LOCA climate scenarios span water years 1950 to 2099 with greenhouse-gas forcings beginning in 2006. The LOCA downscaling method has been shown to produce better estimates of extreme...
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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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A hydro-economic model was developed by coupling a three-dimensional groundwater flow model of the Harney Basin, southeastern Oregon (using MODFLOW 6) with a hedonic agricultural economic model. The hydro-economic model was used to investigate a set of hypothetical future scenarios having different groundwater pumpage conditions. The model looked at conditions 30 years beyond the 2018 conditions at the end of the HBGM transient simulation. This USGS data release contains all of the input and output files and needed Python scripts and JuPyter Notebooks for the simulations described in the associated journal article (https://doi.org/10.1029/2024WRXXXX)
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Because Indiana has significant resources of coal, coal waste, and coal combustion products that are potential resources of critical minerals, this project developed a data preservation strategy for these coal related materials. Rare Earth Elements (REE) are the principal groups of critical minerals considered in this data preservation project, and our strategy for data preservation is to develop databases for individual groups of coal and coal-related materials. When completed, these databases will be combined under an inteactive application that will allow users to quickly locate selected sites and learn which data are available.
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Inductively coupled plasma - optical emission spectrometry (ICP-OES) analysis data compiled using sample preparation procedures outlined by ASTM D2013/D2013M-18 and ASTM D6357, and using two independent sets of element standards for instrument calibration. Additional analysis methodologies are described in detail in the resulting publication Rare earth elements and yttrium in Pennsylvanian coals and shales in the eastern part of the Illinois Basin (Mastalerz et al., 2020).
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This layer represents fundamentally suitable and unsuitable habitat for freshwater mussels in the Meramec Basin as modeled by these authors on May 17, 2017 based on spatial data ranging from 1990 to 2014. Identification of habitat characteristics associated with the presence of freshwater mussels is challenging but crucial for the conservation of this declining fauna. Most mussel species are found in multi-species assemblages suggesting that physical factors influence presence similarly across species. In lotic environments, geomorphic and hydraulic characteristics appear to be important factors for predicting mussel presence. We used maximum entropy (MaxEnt) modeling to evaluate hydrogeomorphic variables associated...
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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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Grass carp, bighead carp, and silver carp spawn in flowing water. Their eggs,and then larvae, develop while drifting. Hydraulic conditions control spawning locations, egg survival, and the downstream distance traveled before the hatched larvae can swim for low velocity nursery habitats. Existing egg drift models simulate the fluvial transport of carp eggs but have limitations in capturing the effect of localized turbulence on egg transport due to inadequate dimensions of hydrodynamics and/or empirical parameterization of river dispersion. We present a three-dimensional Lagrangian particle tracking model that uses fully resolved river hydrodynamics and a continuous random walk algorithm driven by local turbulent...
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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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A three-dimensional groundwater flow model, MODFLOW 6, was developed to provide a better understanding of the hydrogeology of the Harney Basin, southeastern Oregon. The model was used to investigate the historical groundwater-level decline and storage loss associated with anthropogenic groundwater demands. The model was calibrated to 1930 through 2018 conditions. This USGS data release contains all of the input and output files for the simulation described in the associated model documentation report (https://doi.org/10.3133/sir20241518)
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Open pit uranium mining in Atascosa, Karnes, and Live Oak Counties in the Texas gulf coast region was active during the second half of the 20th century. Understanding the history of these mining operations is important for proper management and restoration. Although some mines have extensive records documenting the locations and extents of mining pits and mine waste-rock piles, and provide descriptions of reclamation activities, abandoned mines with little to no such documentation are present on the landscape. A multiple lines of evidence approach using lidar derivatives and multispectral remote sensing temporal analysis (Stengel, 2022) was developed to (1) identify uranium mine waste-rock, wastewater, and land...
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This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Hagerstown 30 x 60 minute quadrangle in Pennsylvania, Maryland, and part of West Virginia. The source data used to construct this imagery consists of 1-meter resolution lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2016 and 2023. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984 Web Mercator. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation. First release: 2012 Revised: February...


    map background search result map search result map 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 Niche model results predicting fundamentally suitable and unsuitable habitat for freshwater mussel concentrations in the Meramec Basin Rare earth elements in Pennsylvanian coals and shales in Indiana Data associated with using lidar and earth observation temporal analysis to explore and characterize uranium mining on the south Texas landscape Future Climate and Hydrology from Twenty Localized Constructed Analog (LOCA) Scenarios and the Basin Characterization Model (BCMv8) Enhanced Terrain Imagery of the Hagerstown 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution (ver. 1.1, February 2024) Data supporting a new three-dimensional Lagrangian particle tracking model for predicting transport of carp eggs in turbulent rivers Long-term data preservation strategy for coal and coal-related materials Parameter ensemble files required to run the Groundwater Nitrate Decision Support Tool for Wisconsin MODFLOW 6 model used to simulate groundwater flow in the Harney Basin, southeastern Oregon (ver. 2.0, May 2024) Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for 2022 (ver. 8.0, April 2024) Hydro-Economic model used to simulate future withdrawal scenarios in the Harney Basin, southeastern Oregon Data supporting a new three-dimensional Lagrangian particle tracking model for predicting transport of carp eggs in turbulent rivers Data associated with using lidar and earth observation temporal analysis to explore and characterize uranium mining on the south Texas landscape Enhanced Terrain Imagery of the Hagerstown 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution (ver. 1.1, February 2024) Niche model results predicting fundamentally suitable and unsuitable habitat for freshwater mussel concentrations in the Meramec Basin Rare earth elements in Pennsylvanian coals and shales in Indiana MODFLOW 6 model used to simulate groundwater flow in the Harney Basin, southeastern Oregon (ver. 2.0, May 2024) Hydro-Economic model used to simulate future withdrawal scenarios in the Harney Basin, southeastern Oregon Long-term data preservation strategy for coal and coal-related materials Parameter ensemble files required to run the Groundwater Nitrate Decision Support Tool for Wisconsin Future Climate and Hydrology from Twenty Localized Constructed Analog (LOCA) Scenarios and the Basin Characterization Model (BCMv8) Slow-moving landslides near the U.S. West Coast mapped from ALOS and ALOS-2 InSAR, 2007-2019 Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for 2022 (ver. 8.0, April 2024) Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic (ver. 8.0, April 2024)