Skip to main content
Advanced Search

Filters: Tags: {"type":"Place"} (X) > Types: OGC WFS Layer (X) > partyWithName: U.S. Geological Survey (X)

30,047 results (372ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Schemes
Tags (with Type=Place )
View Results as: JSON ATOM CSV
thumbnail
This dataset is comprised of three files containing northing, easting, and elevation ("XYZ") information for light detection and ranging (LiDAR) data representing beach topography and sonar data representing near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The point data is the same as that in LAS (industry-standard binary format for storing large point clouds) files that were used to create a digital elevation model (DEM) of the approximately 5.9 square kilometer (2.3 square mile) surveyed area. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019). Multi-beam sonar data were collected...
thumbnail
View north toward basalt dike (photograph EI10) in Hakatai Shale, Unkar Group, on north side of river mile 77.2, at beginning of Hance Rapids. Shinumo Sandstone forms cliff at upper edge of photograph.
thumbnail
Hydrothermally altered rocks, particularly if water saturated, can weaken stratovolcanoes, thereby increasing the potential for catastrophic sector collapses that can lead to far-traveled, destructive debris flows, which are the largest volcanic hazards for Mount Adams and Mount Baker. Evaluating the hazards associated with such alteration is difficult because much of the alteration is obscured by ice and its depth extent is unknown. Intense hydrothermal alteration significantly reduces the resistivity and magnetization of volcanic rock and therefore hydrothermally altered rocks are identified with helicopter electromagnetic and magnetic measurements at Mount Baker and Mount Adams. High resolution magnetic and electromagnetic...
thumbnail
The files consist of two types: tabulated data files and graphical map files. Data files consist of six .csv files, representing six experiment dates (2016_06_14, 2016_16_15, 2016_18_15, 2016_16_21, 2016_16_22, 2016_16_23). Each of these files contains multiple columns of data, with each column representing either a time measurement or the value of a physical quantity measured at that time (e.g., flow depth, pore pressure, normal stress, etc.). Map files consist of six .pdf files, each representing an experiment date listed above. The maps show the thickness of the sediment deposited onto the runout pad after each experiment. Sediment thickness was determined using photogrammetery software from Adam Technology.
thumbnail
Subduction zones are home to the most seismically active faults on the planet. The shallow megathrust interface of subduction zones host our largest earthquakes, and are the only faults capable of M9+ ruptures. Despite these facts, our knowledge of subduction zone geometry - which likely plays a key role in determining the spatial extent and ultimately the size of subduction zone earthquakes - is incomplete. Here we calculate the three- dimensional geometries of all active global subduction zones. The resulting model - Slab2 - provides for the first time a comprehensive geometrical analysis of all known slabs in unprecedented detail.
thumbnail
View east and upriver toward Unkar Group of rocks, Cardenas Basalt sill (black), Bass Formation (light gray), Hakatai Shale (red), unconformably below overlying Cambrian Tapeats Sandstone, from south side of river mile 134.8.
thumbnail
Field measurements of various optical properties of the water column were acquired from a single location on the Kootenai River in northern Idaho, September 26-27, 2017, to support research on remote sensing of rivers, particularly estimation of water depth from passive optical image data. The field measurements included in this data release include several parameters measured with three different instruments. A WetLabs EcoTriplet multi-probe was used to measure the volume scattering coefficient (Beta) at 700 nm, the back-scattering coefficient (b_b) at 700 nm, chlorophyll concentration, colored dissolved organic matter (CDOM) concentration, and turbidity. A Sequoia Scientific LISST-100X was used to measure the...
thumbnail
wy_lvl7_coarsescale: Wyoming hierarchical cluster level 7 (coarse-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different...
thumbnail
The activities associated with the construction of a new walkway within Mammoth Cave caused vibrations to be felt in the cave, which is home to an endangered Indiana bat roost. These data were collected at the request of the National Park Service to monitor the vibration levels near a bat roost within Mammoth Cave National Park to determine if construction-induced vibration might be inducing the observed activity of the bats. Seven geophones and two accelerometers were placed in the passage to the bat roost to monitor the distribution of ground velocity and acceleration. The vibration signature of individual construction equipment (jackhammer, place compactor, and hammer drill), human activities during a simulated...
thumbnail
Geomorphometry for Streams and Floodplains in the Chesapeake and Delaware Watersheds was generated as part of the project Quantifying Floodplain Ecological Processes and Ecosystem Services in the Delaware River Watershed funded through the William Penn Foundation' Delaware Watershed Research fund. This dataset contains geomorphometry for streams and floodplains in the Chesapeake and Delaware River watersheds. Geomorphometry is a quantitative representation of landscape surface form (e.g., channel width and depth) obtained from digital elevation models (DEMs). The dataset contains geomorphometry derived from running 3-m DEMs through the Floodplain and Channel Evaluation Tool (FACET) version 0.1.0. FACET generates...
thumbnail
Geomorphometry for Streams and Floodplains in the Chesapeake and Delaware Watersheds was generated as part of the project Quantifying Floodplain Ecological Processes and Ecosystem Services in the Delaware River Watershed funded through the William Penn Foundation' Delaware Watershed Research fund. This dataset contains geomorphometry for streams and floodplains in the Chesapeake and Delaware River watersheds. Geomorphometry is a quantitative representation of landscape surface form (e.g., channel width and depth) obtained from digital elevation models (DEMs). The dataset contains geomorphometry derived from running 3-m DEMs through the Floodplain and Channel Evaluation Tool (FACET) version 0.1.0. FACET generates...
thumbnail
Geomorphometry for Streams and Floodplains in the Chesapeake and Delaware Watersheds was generated as part of the project Quantifying Floodplain Ecological Processes and Ecosystem Services in the Delaware River Watershed funded through the William Penn Foundation' Delaware Watershed Research fund. This dataset contains geomorphometry for streams and floodplains in the Chesapeake and Delaware River watersheds. Geomorphometry is a quantitative representation of landscape surface form (e.g., channel width and depth) obtained from digital elevation models (DEMs). The dataset contains geomorphometry derived from running 3-m DEMs through the Floodplain and Channel Evaluation Tool (FACET) version 0.1.0. FACET generates...
thumbnail
Geomorphometry for Streams and Floodplains in the Chesapeake and Delaware Watersheds was generated as part of the project Quantifying Floodplain Ecological Processes and Ecosystem Services in the Delaware River Watershed funded through the William Penn Foundation' Delaware Watershed Research fund. This dataset contains geomorphometry for streams and floodplains in the Chesapeake and Delaware River watersheds. Geomorphometry is a quantitative representation of landscape surface form (e.g., channel width and depth) obtained from digital elevation models (DEMs). The dataset contains geomorphometry derived from running 3-m DEMs through the Floodplain and Channel Evaluation Tool (FACET) version 0.1.0. FACET generates...
thumbnail
Geomorphometry for Streams and Floodplains in the Chesapeake and Delaware Watersheds was generated as part of the project Quantifying Floodplain Ecological Processes and Ecosystem Services in the Delaware River Watershed funded through the William Penn Foundation' Delaware Watershed Research fund. This dataset contains geomorphometry for streams and floodplains in the Chesapeake and Delaware River watersheds. Geomorphometry is a quantitative representation of landscape surface form (e.g., channel width and depth) obtained from digital elevation models (DEMs). The dataset contains geomorphometry derived from running 3-m DEMs through the Floodplain and Channel Evaluation Tool (FACET) version 0.1.0. FACET generates...
thumbnail
Geomorphometry for Streams and Floodplains in the Chesapeake and Delaware Watersheds was generated as part of the project Quantifying Floodplain Ecological Processes and Ecosystem Services in the Delaware River Watershed funded through the William Penn Foundation' Delaware Watershed Research fund. This dataset contains geomorphometry for streams and floodplains in the Chesapeake and Delaware River watersheds. Geomorphometry is a quantitative representation of landscape surface form (e.g., channel width and depth) obtained from digital elevation models (DEMs). The dataset contains geomorphometry derived from running 3-m DEMs through the Floodplain and Channel Evaluation Tool (FACET) version 0.1.0. FACET generates...
thumbnail
Geomorphometry for Streams and Floodplains in the Chesapeake and Delaware Watersheds was generated as part of the project Quantifying Floodplain Ecological Processes and Ecosystem Services in the Delaware River Watershed funded through the William Penn Foundation' Delaware Watershed Research fund. This dataset contains geomorphometry for streams and floodplains in the Chesapeake and Delaware River watersheds. Geomorphometry is a quantitative representation of landscape surface form (e.g., channel width and depth) obtained from digital elevation models (DEMs). The dataset contains geomorphometry derived from running 3-m DEMs through the Floodplain and Channel Evaluation Tool (FACET) version 0.1.0. FACET generates...
thumbnail
Geomorphometry for Streams and Floodplains in the Chesapeake and Delaware Watersheds was generated as part of the project Quantifying Floodplain Ecological Processes and Ecosystem Services in the Delaware River Watershed funded through the William Penn Foundation' Delaware Watershed Research fund. This dataset contains geomorphometry for streams and floodplains in the Chesapeake and Delaware River watersheds. Geomorphometry is a quantitative representation of landscape surface form (e.g., channel width and depth) obtained from digital elevation models (DEMs). The dataset contains geomorphometry derived from running 3-m DEMs through the Floodplain and Channel Evaluation Tool (FACET) version 0.1.0. FACET generates...
thumbnail
Geomorphometry for Streams and Floodplains in the Chesapeake and Delaware Watersheds was generated as part of the project Quantifying Floodplain Ecological Processes and Ecosystem Services in the Delaware River Watershed funded through the William Penn Foundation' Delaware Watershed Research fund. This dataset contains geomorphometry for streams and floodplains in the Chesapeake and Delaware River watersheds. Geomorphometry is a quantitative representation of landscape surface form (e.g., channel width and depth) obtained from digital elevation models (DEMs). The dataset contains geomorphometry derived from running 3-m DEMs through the Floodplain and Channel Evaluation Tool (FACET) version 0.1.0. FACET generates...


map background search result map search result map Sensor data from debris-flow experiments conducted in June, 2016, at the USGS debris-flow flume, HJ Andrews Experimental Forest, Blue River, Oregon Mount Adams Electromagnetic and Magnetic Data Slab2 - A Comprehensive Subduction Zone Geometry Model, Sumatra-Java Region LiDAR and paleoseismology solve 140-yr old earthquake mystery in the Pacific Northwest USA - source tabular data and images for 1872 Chelan earthquake fault scarp study Acceleration of ground vibrations at Mammoth Cave National Park, 2016 Field measurements of water column optical properties from the Kootenai River in northern Idaho, September 26-27, 2017, and similar data from several other rivers CS22. View east and upriver toward Unkar Group of rocks CW89. View east toward flood-damaged travertine pools below Havasu Falls EI09. View north toward basalt dike in Hakatai Shale Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 7 (Wyoming), Interim XYZ files of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 Geomorphometry for Hydrologic Unit 0205030503 (FACET version 0.1.0) Geomorphometry for Hydrologic Unit 0205030308 (FACET version 0.1.0) Geomorphometry for Hydrologic Unit 0205030405 (FACET version 0.1.0) Geomorphometry for Hydrologic Unit 0205020608 (FACET version 0.1.0) Geomorphometry for Hydrologic Unit 0205030401 (FACET version 0.1.0) Geomorphometry for Hydrologic Unit 0205010402 (FACET version 0.1.0) Geomorphometry for Hydrologic Unit 0205010107 (FACET version 0.1.0) Geomorphometry for Hydrologic Unit 0205030106 (FACET version 0.1.0) Geomorphometry for Hydrologic Unit 02040203_l (FACET version 0.1.0) Sensor data from debris-flow experiments conducted in June, 2016, at the USGS debris-flow flume, HJ Andrews Experimental Forest, Blue River, Oregon XYZ files of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 Mount Adams Electromagnetic and Magnetic Data LiDAR and paleoseismology solve 140-yr old earthquake mystery in the Pacific Northwest USA - source tabular data and images for 1872 Chelan earthquake fault scarp study Acceleration of ground vibrations at Mammoth Cave National Park, 2016 Geomorphometry for Hydrologic Unit 0205030503 (FACET version 0.1.0) Geomorphometry for Hydrologic Unit 0205030308 (FACET version 0.1.0) Geomorphometry for Hydrologic Unit 0205030405 (FACET version 0.1.0) Geomorphometry for Hydrologic Unit 0205020608 (FACET version 0.1.0) Geomorphometry for Hydrologic Unit 0205030401 (FACET version 0.1.0) Geomorphometry for Hydrologic Unit 0205010402 (FACET version 0.1.0) Geomorphometry for Hydrologic Unit 0205010107 (FACET version 0.1.0) Geomorphometry for Hydrologic Unit 0205030106 (FACET version 0.1.0) Geomorphometry for Hydrologic Unit 02040203_l (FACET version 0.1.0) Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 7 (Wyoming), Interim Slab2 - A Comprehensive Subduction Zone Geometry Model, Sumatra-Java Region