Filters: Tags: USA (X) > Extensions: Shapefile (X) > Types: OGC WFS Layer (X)

Filters Date Range Past year (6) Past month (1) Past week (0) Past day (0) Custom range... To   Search Extensions Raster (30) ArcGIS Service Definition (1) Types Downloadable (201) Map Service (201) OGC WMS Layer (201) Shapefile (201) GeoTIFF (30) More... Contacts Woods Hole Coastal and Marine Science Center Sara L Zeigler U.S. Geological Survey - ScienceBase Ben Gutierrez Emily J Sturdivant More... Categories Data (201) pre-SM502.8 (3) Data Release - Revised (2) Tag Types Theme (201) Place (201) USGS Scientific Topic Keyword (22) Harvest Set (27) theme (1) CatalogFilter Data Theme (3) LCC End User Type (1) More... Tag Schemes None (136) USGS Thesaurus (149) http://geonames.usgs.gov/ (16) none (29) ISO 19115 Topic Category (147) USGS Geographic Names Information System (GNIS), https://geonames.usgs.gov (6) Common geographic areas (31) More... View Results as: JSON ATOM CSV

Wind Turbines in Colorado, 2011 This dataset represents an update to U.S. Geological Survey Data Series 597. Locations and attributes of wind turbines in Colorado, 2009 (available at http://pubs.usgs.gov/ds/597/). This updated Colorado wind turbine Data Series provides geospatial data (fig. 1) for all 1,204 wind turbines established within the State of Colorado as of September 2011, an increase of 297 wind turbines from 2009.Attributes specific to each turbine include: turbine location, manufacturer and model, rotor diameter, hub height, rotor height, potential megawatt output, land ownership, county, and development status of the wind turbine. Wind energy facility data for each turbine include: facility name, facility power capacity, number of... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Colorado, Energy Development, Renewable Energy, USA, United States, All tags... Wind Energy, Wind Energy Facility, Wind Farm, Wind Turbine, Fewer tags Airborne magnetic and radiometric survey of the Wet Mountains and surrounding region, Custer and Fremont Counties, south-central Colorado, 2021 This data release provides digital flight-line and gridded data for a high-resolution airborne magnetic and radiometric survey over the region surrounding the Wet Mountains of southern Colorado, including parts of Custer and Fremont Counties. Data for this survey were collected by Sander Geophysics Limited International (SGL) under contract with the USGS. The survey was flown in June and July of 2021 using a helicopter equipped with a magnetometer mounted in a stinger extending from the nose of the aircraft and a gamma-ray spectrometer stowed onboard. The helicopter pilots followed pre-planned flight paths in a grid-like pattern, with east-west lines spaced 150 meters apart and north-south lines spaced 1,000 meters... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: "Mineral Resources"], AASG, Antelope Creek, Arkansas River, Association of State Geologists, All tags... Canon City, Colorado, Custer County, Earth Mapping Resources Initiative, EarthMRI, Economic Geology, Fremont County, GGGSC, Geology, Geophysics, and Geochemistry Science Center, Geophysics, Grape Creek, MRP, Mineral Resources, Mineral Resources Program, National Cooperative Geologic Mapping Program, North Hardscrabble Creek, Oak Creek, Rosita Hills, Royal Gorge, Sedimentology, Sliver Cliff, Structural Geology, Tallahassee Creek, Texas Creek, U.S. Geological Survey, USA, USGS, USGS Science Data Catalog (SDC), United States, United States of America, Westcliffe, Wet Mountain Valley, Wet Mountains, ["Geophysics", aeromagnetic surveying, aeroradiometric surveying, airborne geophysical survey, economy, geophysics, geoscientificInformation, geospatial datasets, magnetic field (earth), potassium, south-central Colorado, thorium, uranium, Fewer tags Oil and gas wells data for the Wyoming Landscape Conservation Initiative (WLCI), southwestern Wyoming This feature class was created to assemble oil and gas well information for a comprehensive inventory of energy data pertinent to the Wyoming Landscape Conservation Initiative decision-making process. These data are available as online resources for scientists, resource managers engaged in the Initiative, and other researchers. The GIS data and map services created for this study are available for interactive analysis and/or download at the Energy Geoscience Center WLCI website. Categories: Data, pre-SM502.8; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 503702 = Mowry Composite Total Petroleum System, 50370261 = Mowry Continuous Gas, 503704 = Hilliard-Baxter-Mancos Total Petroleum System, 50370461 = Hilliard-Baxter-Mancos Continuous Gas, 503705 = Mesaverde Total Petroleum System, All tags... 50370561 = Almond Continuous Gas, 50370562 = Rock Springs-Ericson Continuous Gas, 503706 = Mesaverde-Lance-Fort Union Composite Total Petroleum System, 50370661 = Mesaverde-Lance-Fort Union Continuous Gas, 503707 = Lewis Total Petroleum System, 50370761 = Lewis Continuous Gas, 503708 = Lance-Fort Union Composite Total Petroleum System, 50370861 = Lance-Fort Union Continuous Gas, Assessment Unit, Coalbed Methane, Coalbed methane resources, Earth Science, Economic geology, Energy Resources, Gas, Geology, Greater Green River Basin, Impacts of Energy Production, National Assessment of Oil and Gas, Natural Gas, Natural Resources, Natural gas resources, North America, Oil, Oil and Gas Exploration, Oil and Natural Gas, Oil sand resources, Oil shale resources, Petroleum, Resource Assessment, Sedimentary Basin, Southwestern Wyoming, Southwestern Wyoming, U.S., U.S. Geological Survey, US56 = Wyoming, USA, USGS, USGS Science Data Catalog (SDC), USGS World Energy Region 5, USGS World Energy Region 5, United States, United States of America, WLCI, WOGCC, WY, Wyoming, Wyoming Landscape Conservation Initiative, Wyoming Oil and Gas Conservation Commission, economy, environment, geoscientificInformation, oilgas, wlci, Fewer tags Migration Routes of Mule Deer in the Izzenhood Herd in Nevada Mule deer in the Izzenhood herd are part of a larger population known in Nevada as the “Area 6” mule deer population. They primarily reside on winter ranges in the Izzenhood Basin and upper Rock Creek drainages in western Elko County and northern Lander County. From their winter range, mule deer in this sub population migrate approximately 70 miles to summer ranges in the northern Independence Mountains and Bull Run Basin area. Some of the most important stopover areas are located near upper Rock Creek, Toe Jam Mountain, and Chicken Creek Summit. Challenges to this deer herd include past wildfires on winter range, conversion of native shrub habitats to exotic annual grasses, and lower primary production in some... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Battle Mountain, Izzenhood, Nevada, USA, animal behavior, All tags... biota, migration (organisms), migratory species, routes, Fewer tags Migration Routes of Mule Deer in the South Tuscarora Mountains in Nevada Mule deer in the South Tuscarora herd are part of the larger “Area 6” deer population that reside in the southern and eastern portion of this big game Management Area (MA 6). The winter range for this sub population is located along the western slopes of the Tuscarora Mountains and the Dunphy Hills. The spring migration route for this deer herd traverses north along the toe slopes of the Tuscarora Mountains on the east side and narrows to approximately 600 meters at one pinch point near the Carlin -Pete Mine area. The migration route generally spans about 30 miles to the northeast to higher elevations in the northern Tuscarora Mountains. Important stopover areas include Richmond Mountain, Jack and Little Jack Creeks,... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Carlin, Nevada, Tuscarora, USA, animal behavior, All tags... biota, migration (organisms), migration routes, migratory species, Fewer tags Seabeach Amaranth Presence-Absence Data, Assateague Island National Seashore, 2010 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for developing approaches that balance the needs of humans and native species. Given the magnitude of the threat posed by sea-level rise, and the urgency to better understand it, there is an increasing need to forecast sea-level rise effects on barrier islands. To address this problem, scientists in the U.S. Geological Survey (USGS) Coastal and Marine Geology program are developing Bayesian networks as a tool to evaluate and to forecast the effects of sea-level rise on shoreline change, barrier island geomorphology, and habitat availability for species such as the piping plover (Charadrius melodus)... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Assateague Island, Assateague Island, Assateague Island National Seashore, Assateague Island National Seashore, Atlantic Ocean, All tags... Barrier Island, Bayesian Network, CMHRP, Chincoteague National Wildlife Refuge, Coastal Erosion, Coastal Habitat, Coastal Hazards, Coastal and Marine Hazards and Resources Program, Coastal processes, Delmarva Peninsula, Erosion, GIS, Geographic Information Systems, MD, MHW, Maryland, Mean High Water, North America, Probability, Sea Level Rise, Sea-level change, Seabeach amaranth, Shoreline Change, U.S. Geological Survey, USA, USGS, United States, VA, Virginia, Woods Hole Coastal and Marine Science Center, coastal processes, environment, environment, erosion, geographic information systems, geomorphology, geoscientificInformation, geoscientificInformation, geospatial analysis, geospatial datasets, hazards, hazards, land use and land cover, sea-level change, transect sampling, vegetation, Fewer tags Development: Development delineation: Edwin B. Forsythe NWR, NJ, 2010 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Ocean, Barrier Island, CMGP, Coastal Armoring, Coastal Habitat, All tags... Coastal Hazards, Coastal and Marine Geology Program, Edwin B. Forsythe NWR, Edwin B. Forsythe NWR, GIS, Geographic Information Systems, Human Development, Long Beach Island, Long Beach Island, NJ, New Jersey, North America, Pullen Island, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, environment, geospatial datasets, land use and land cover, Fewer tags DCpts, DTpts, SLpts: Dune crest, dune toe, and mean high water shoreline positions: Cape Lookout, NC, 2014 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Ocean, Barrier Island, CMHRP, Cape Lookout, Cape Lookout, All tags... Cape Lookout National Seashore, Cape Lookout National Seashore, Coastal Hazards, Coastal and Marine Hazards and Resources Program, GIS, Geographic Information Systems, MHW, Mean High Water, NC, North America, North Carolina, North Core Islands, Shackleford Banks, South Core Islands, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, geomorphology, geoscientificInformation, geospatial analysis, geospatial datasets, oceans, transect sampling, Fewer tags points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Rhode Island National Wildlife Refuge, RI, 2014 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, Raster, Shapefile; Tags: Atlantic Ocean, Barrier Island, Bayesian Network, CMHRP, Coastal Erosion, All tags... Coastal Habitat, Coastal Hazards, Coastal and Marine Hazards and Resources Program, Coastal processes, Erosion, GIS, Geographic Information Systems, MHW, Mean High Water, North America, Probability, RI, Rhode Island, Rhode Island, Rhode Island National Wildlife Refuge Complex, Rhode Island National Wildlife Refuge Complex, Sea Level Rise, Sea-level change, Shoreline Change, St. Petersburg Coastal and Marine Science Center, Trustom Pond, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, coastal processes, environment, erosion, geographic information systems, geomorphology, geoscientificInformation, geospatial analysis, geospatial datasets, hazards, hazards, land use and land cover, sea-level change, transect sampling, Fewer tags Development: Development delineation: Parker River, MA, 2014 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Ocean, Barrier Island, CMHRP, Cape Ann, Coastal Armoring, All tags... Coastal Habitat, Coastal Hazards, Coastal and Marine Hazards and Resources Program, GIS, Geographic Information Systems, Human Development, MA, Massachusetts, North America, Parker River, Parker River, Parker River National Wildlife Refuge, Parker River National Wildlife Refuge, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, environment, geospatial datasets, land use and land cover, Fewer tags points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Edwin B. Forsythe NWR, NJ, 2010 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, Raster, Shapefile; Tags: Atlantic Ocean, Barrier Island, Bayesian Network, CMGP, Coastal Erosion, All tags... Coastal Habitat, Coastal Hazards, Coastal and Marine Geology Program, Coastal processes, Edwin B. Forsythe NWR, Edwin B. Forsythe NWR, Erosion, GIS, Geographic Information Systems, Long Beach Island, Long Beach Island, MHW, Mean High Water, NJ, New Jersey, North America, Probability, Pullen Island, Sea Level Rise, Sea-level change, Shoreline Change, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, coastal processes, environment, erosion, geographic information systems, geomorphology, geoscientificInformation, geospatial analysis, geospatial datasets, hazards, hazards, land use and land cover, sea-level change, transect sampling, Fewer tags points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Monomoy Island, MA, 2013-2014 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, Raster, Shapefile; Tags: Atlantic Ocean, Barrier Island, Bayesian Network, CMHRP, Cape Cod, All tags... Coastal Erosion, Coastal Habitat, Coastal Hazards, Coastal and Marine Hazards and Resources Program, Coastal processes, Erosion, GIS, Geographic Information Systems, MA, MHW, Massachusetts, Mean High Water, Monomoy Island, Monomoy Island, Monomoy National Wildlife Refuge, Monomoy National Wildlife Refuge, North America, Probability, Sea Level Rise, Sea-level change, Shoreline Change, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, coastal processes, environment, erosion, geographic information systems, geomorphology, geoscientificInformation, geospatial analysis, geospatial datasets, hazards, hazards, land use and land cover, sea-level change, transect sampling, Fewer tags shoreline, inletLines: Shoreline polygons and tidal inlet delineations: Assateague Island, MD & VA, 2014 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Assateague Island, Assateague Island, Assateague Island National Seashore, Assateague Island National Seashore, Atlantic Ocean, All tags... Barrier Island, CMHRP, Chincoteague National Wildlife Refuge, Coastal and Marine Hazards and Resources Program, Delmarva Peninsula, MD, Maryland,, North America, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, VA, Virginia, Woods Hole Coastal and Marine Science Center, coastal processes, geomorphology, geospatial analysis, geospatial datasets, oceans, study areas, Fewer tags Development: Development delineation: Cape Lookout, NC, 2014 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Ocean, Barrier Island, CMHRP, Cape Lookout, Cape Lookout, All tags... Cape Lookout National Seashore, Cape Lookout National Seashore, Coastal Armoring, Coastal Habitat, Coastal Hazards, Coastal and Marine Hazards and Resources Program, GIS, Geographic Information Systems, Human Development, NC, North America, North Carolina, North Core Islands, Shackleford Banks, South Core Islands, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, environment, geospatial datasets, land use and land cover, Fewer tags DisMOSH, Cost, MOSH_Shoreline: Distance to foraging areas for piping plovers including foraging shoreline, cost mask, and least-cost path distance: Smith Island, VA, 2014 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, Raster, Shapefile; Tags: Atlantic Ocean, Barrier Island, Bayesian Network, CMGP, Charadrius melodus, All tags... Coastal Habitat, Coastal and Marine Geology Program, Delmarva Peninsula, Foraging Ecology, GIS, Geographic Information Systems, MHW, Mean High Water, North America, Piping Plovers, Smith Island, Smith Island, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, VA, Virginia, Virginia Coast Reserve, Virginia Coast Reserve, Woods Hole Coastal and Marine Science Center, biota, ecology, environment, geography, geomorphology, geospatial analysis, geospatial datasets, Fewer tags 2015 Sample Transects This USGS Data Release represents geospatial and tabular data for the Denali Sampling Project. This dataset represents the 'Sample Transects (Vector GIS dataset)' for the 2015 Sample Data Release. These data support the following publication:Drew A. Ignizio, ScienceBase Team, 2015, SAMPLE Denali Observations from 2010-2015, USGS Open File Report. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Alaska, Denali National Park, National Park Survey, Sampling measurements, Transect, All tags... USA, Fewer tags Geochemical and Modal Data for Mesoproterozoic Igneous Rocks of the St. Francois Mountains, Southeast Missouri This data release accompanies the Data Series report 'Compilation of new and previously published geochemical and modal data for Mesoproterozoic igneous rocks of the St. Francois Mountains, southeast Missouri’ (https://doi.org/10.3133/ds1080). The compilation includes recently acquired as well as previously published geochemical and modal petrographic data for igneous rocks in the St. Francois Mountains, southeast Missouri, and supports an ongoing effort to understand the regional geology and ore deposits of the Mesoproterozoic basement rocks of southeast Missouri, USA. This data release includes geochemical data that are (1) newly acquired by the U.S. Geological Survey (USGS) and (2) compiled from numerous sources... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Energy Resources, GGGSC, Geochemistry, Geology, Geophysics, and Geochemistry Science Center, MRP, All tags... Mineral Resources Prog, Mineralogy, Missouri, St. Francois Mountains, St. Francois Mountains terrane, USA, USGS Science Data Catalog (SDC), United States of America, geoscientificInformation, southeast Missouri, Fewer tags Harp and others (1984) This inventory was originally created by Harp and others (1984) describing the landslides triggered by a sequence of earthquakes, with the largest being the M 6.5 Mammoth Lakes, California earthquake that occurred on 25 May 1980 at 19:44:50 UTC. Care should be taken when comparing with other inventories because different authors use different mapping techniques. This inventory includes landslides triggered by a sequence of earthquakes rather than a single mainshock. Please check the author methods summary and the original data source for more information on these details and to confirm the viability of this inventory for your specific use. With the exception of the data from USGS sources, the inventory data and... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: California, EHP, Earthquake, Earthquake Hazards Program, Earthquakes, All tags... GHSC, GIS, Geographic Informtion System, Geologic Hazards Science Center, Global, Ground failure, Groundfailure, Inventory, LHP, Landslide, Landslides, Landslides Hazards Program, North America, Secondary, Secondary Hazards, USA, USGS, Fewer tags Mores Creek Arm Bathymetric Survey - Depth Contours, Lucky Peak Lake, Boise County, Idaho, May 11 - 13, 2021 In 2004, about 90 migrating elk drowned after attempting to cross thin ice on the Mores Creek arm of Lucky Peak Lake upstream of the Highway 21 bridge. To better understand the depths over a range of reservoir pool elevations in the Mores Creek Arm, the U.S. Geological Survey, in cooperation with the Lucky Peak Power Plant Project, conducted high-resolution multibeam echosounder (MBES) bathymetric surveys on the Mores Creek arm on Lucky Peak Lake. The MBES data will assist reservoir managers and wildlife biologists with regulating reservoir water surface elevations (WSE) to support successful big game migration across Mores Creek on Lucky Peak Lake. Data collection provided nearly 100 percent coverage of bed elevations... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: Boise, GPS measurement, Hypack, Hysweep, ID, All tags... Idaho, Idaho, Lucky Peak Lake, Lucky Peak Lake, Mores Creek, Mores Creek, Multibeam sonar, Pacific Northwest, USA, United States, bathymetry, bathymetry measurement, contouring, dam sites, digital elevation models, elevation, erosion, gaging stations, geospatial analysis, geospatial datasets, inlandWaters, land surveying, location, reference locations, reservoirs, sedimentation, spatial analysis, territorial waters, topographic maps, topography, Fewer tags Kootenai River Supplemental Surveys near Bonners Ferry, ID, 2012-2022 In 2009, the Kootenai Tribe of Idaho released and implemented the Kootenai River Habitat Restoration Master Plan. This plan aimed to restore, enhance, and maintain the Kootenai River habitat and landscape to support and sustain habitat conditions for aquatic species and animal populations. In support of these restoration efforts, the U.S. Geological Survey, in cooperation with the Kootenai Tribe of Idaho, conducted high-resolution multibeam echosounder bathymetric surveys as a baseline bathymetric monitoring survey on the Kootenai River near Bonners Ferry, Idaho. Three channel patterns or reaches exist in the study area: braided, meander, and a transitional zone connecting the braided and meander reaches. Bathymetric... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: ASCII, Bathymetry, Bonners Ferry, Geology, Hypack, All tags... Hysweep, ID, Idaho, Kootenai River, Multibeam, U.S. Geological Survey, USA, USGS, Water Depth, XYZ, elevation, inlandWaters, inlandWaters, swath bathymetry, topography, Fewer tags 1 2 3 4 5 ... 11 »