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The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes a compilation of previously published historical shoreline positions for Virginia spanning 148 years (1849-1997), and two new mean high water (MHW) shorelines extracted from lidar data collected...
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The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes a compilation of previously published historical shoreline positions for Virginia spanning 148 years (1849-1997), and two new mean high water (MHW) shorelines extracted from lidar data collected...
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The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes a compilation of previously published historical shoreline positions for Virginia spanning 148 years (1849-1997), and two new mean high water (MHW) shorelines extracted from lidar data collected...
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This polygon shapefile represents model simulated flood-inundation extents for the Muddy River, near Moapa Nevada. A flood frequency analysis was performed at USGS streamgage 09416000 - Muddy River near Moapa, Nevada, to estimate the 50, 20, 10, 4, 2, and 1-percent annual exceedance probability (AEP) flood streamflows. The flood-inundation extents for the 50-, 20-, 10-, 4-, 2-, and 1-percent AEP floods were simulated for the current levee location in 2019 and for the new levee location of the proposed restoration. One model simulation represents the levee at its current (existing) location in 2019 on the east bank of the river and referred to as ‘current conditions (2019).’ A second model simulation removes the...
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This data release contains the boundaries of assessment units, assessment input data and resulting fact sheet data tables for the assessment of undiscovered oil and gas resources in the Barents Sea Area. The Assessment Unit is the fundamental unit used in the National and Global Oil and Gas Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and...
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This data release includes two digital orthomosaic images produced from uncrewed aerial system (UAS) imagery surveys conducted on August 14, 2019, and July 8, 2022 at an edge-of-field site north of Medina River Natural Area near San Antonio, Texas. These images were compiled from sets of aerial imagery included in this data release. Orthomosaic images can be used for visual reference but do not contain elevation data.
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This point shapefile contains positional data for 2,205 locations at the Muddy River, near Moapa, Nevada, April 1 to August 9, 2019. Positional data were collected using either a single-base real-time kinematic (RTK) global navigation satellite system (GNSS) or a total station. The survey data primarily were used to define 105 cross-sections, with a secondary use as vertical precision verification for lidar data.
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This polygon shapefile represents the boundaries of the current (2019) and proposed levee locations used to simulate flood-inundation extents for the at Muddy River, near Moapa, Nevada. The new levee location is proposed as part of a river restoration plan for selected reaches of the Muddy River.
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The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes a compilation of previously published historical shoreline positions for Virginia spanning 148 years (1849-1997), and two new mean high water (MHW) shorelines extracted from lidar data collected...
These data-sets are polygon shapefiles that represent flood inundation boundaries for 157 flooding scenarios in an 8-mile reach of the Papillion Creek near Offutt Air Force Base. These shapefiles were created by the U.S. Geological Survey (USGS) in cooperation with the U.S. Air Force, Offutt Air Force Base for use within the USGS Flood Inundation Mapping program. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgages on the Papillion...
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This point shapefile contains positional data for seven static reference locations collected at the Muddy River, near Moapa, Nevada, March 29 to August 9, 2019. Positional data were collected at seven temporary benchmarks using 14 single-baseline online positioning user service – static (OPUS-S) global navigation satellite system (GNSS) surveys. Data were collected using Leica Viva GS14 or TopCon GR-3 GNSS receivers. Processing of static observations was done using the National Geodetic Survey (NGS) online positioning user system (OPUS).
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This data release contains data from five seismic-reflection surveys in New York’s East River between Governors Island and the Queensboro Bridge. Data are provided in the original proprietary data format, a SEGy data exchange format, and as a shape file of locations and depths to bedrock. Depths to bedrock were derived from the seismic signal travel time and an assumed speed of sound of 5,000 feet/second.
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Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes a compilation of previously published historical shoreline positions for Virginia spanning 148 years (1849-1997), and two new mean high water (MHW) shorelines extracted from lidar data collected in 2010...
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Greater sage-grouse (Centrocercus urophasianus) are at the center of state and national land use policies largely because of their unique life-history traits as an ecological indicator for health of sagebrush ecosystems. These data represent an updated population trend analysis and Targeted Annual Warning System (TAWS) for state and federal land and wildlife managers to use best-available science to help guide current management and conservation plans aimed at benefitting sage-grouse populations range-wide. This analysis relied on previously published population trend modeling methodology from Coates and others (2021, 2022) and includes population lek count data from 1960–2022. Bayesian state-space models estimated...
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The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes a compilation of previously published historical shoreline positions for Virginia spanning 148 years (1849-1997), and two new mean high water (MHW) shorelines extracted from lidar data collected...
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Provided here is a globally distributed catalog of earthquakes and nuclear explosions with calibrated hypocenters, referred to as the Global Catalog of Calibrated Earthquake Locations or GCCEL. This dataset contains more than 20,743 earthquakes in 313 well distributed clusters. Currently there are more than 3.6M arrival times with the bulk being the Pg, Pn, P, Sg, Sn and S phases. The term “calibrated” refers to the property that the hypocenters are minimally biased by unknown Earth structure and that the uncertainties are meaningful. Uncertainties are calculated using empirically determined variability of the arrival time data itself, specific to each calibrated cluster of hypocenters. The data are carefully processed...
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The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes a compilation of previously published historical shoreline positions for Virginia spanning 148 years (1849-1997), and two new mean high water (MHW) shorelines extracted from lidar data collected...
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From March 2019 to September 2020, the U.S. Geological Survey, in cooperation with the New York City Department of Design and Construction and the New York State Department of Environmental Conservation, collected horizontal-to-vertical seismic (HVSR) surveys at 140 locations in New York, Bronx, Queens, Nassau, and Suffolk counties to estimate the thickness of unconsolidated sediments and the depth to bedrock (Lane and others, 2008). The passive-seismic method uses a single, broad-band three-component (two horizontal and one vertical) seismometer to record ambient seismic noise. In areas that have a strong acoustic contrast between the bedrock and overlying sediments, the seismic noise induces resonance at frequencies...
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The Almanor cluster is named for Lake Almanor in northern California. The area has experienced low-level seismicity, with one 5.5 mb event on May 24, 2013 before 5.3 ml and 5.2 mw events on May 11 and 12, 2023, respectively. Many events were recorded only to regional distances but are retained in the cluster to provide statistical power for the location calibration. All events have depth control from near-source and local distance readings. Number of events: 78 Calibration type: direct calibration using data to 0.7 degrees; hypocentroid calibration level = 0.7 km Epicentral calibration range:...


    map background search result map search result map 6) Static reference points for the correction of real-time kinematic global navigation satellite system (GNSS) and total station (TS) surveys at Muddy River, near Moapa, Nevada 5) Real-time kinematic global navigation satellite system (GNSS) and total station (TS) survey points at Muddy River, near Moapa, Nevada 4) Current and proposed levee locations at Muddy River, near Moapa, Nevada 1) Simulated flood-inundation extents for the Muddy River, near Moapa, Nevada Horizontal-to-Vertical Spectral Ratio Soundings and Depth-to-Bedrock Data for New York City and Long Island, NY Continuous Marine Seismic-Reflection Surveys and Derived Depth-to-Bedrock Point Data from the East River, New York City, New York Trends and a Targeted Annual Warning System for Greater Sage-Grouse in the Western United States (ver. 2.0, May 2023) Digital surface models (DSMs) obtained by using uncrewed aerial systems from an erosion prone area north of Medina River Natural Area near San Antonio, Texas, August 14, 2019, and July 8, 2022 Orthomosaic images obtained by using uncrewed aerial systems from an erosion prone area north of Medina River Natural Area near San Antonio, Texas, August 14, 2019, and July 8, 2022 USGS National and Global Oil and Gas Assessment Project—Barents Sea Area: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables Short-term shoreline change rates for the Virginia coastal region using the Digital Shoreline Analysis System version 5.1 A GIS compilation of vector shorelines for the Virginia coastal region from the 1840s to 2010s Long-term shoreline change rates for the Virginia coastal region, calculated with and without the proxy-datum bias using the Digital Shoreline Analysis System version 5.1 Baseline for the Virginia coastal region, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1 Intersects for coastal region of Virginia generated to calculate short-term shoreline change rates using the Digital Shoreline Analysis System version 5.1 Intersects for the coastal region of Virginia generated to calculate long-term shoreline change rates using the Digital Shoreline Analysis System version 5.1 VA Bias_Feature – Feature class containing Virginia proxy-datum bias information to be used in the Digital Shoreline Analysis System. Shapefile of flood inundation maps for Papillion Creek near Offutt Air Force Base, Nebraska USA, California, Lake Almanor: 1992-2023 4) Current and proposed levee locations at Muddy River, near Moapa, Nevada Digital surface models (DSMs) obtained by using uncrewed aerial systems from an erosion prone area north of Medina River Natural Area near San Antonio, Texas, August 14, 2019, and July 8, 2022 Orthomosaic images obtained by using uncrewed aerial systems from an erosion prone area north of Medina River Natural Area near San Antonio, Texas, August 14, 2019, and July 8, 2022 6) Static reference points for the correction of real-time kinematic global navigation satellite system (GNSS) and total station (TS) surveys at Muddy River, near Moapa, Nevada 5) Real-time kinematic global navigation satellite system (GNSS) and total station (TS) survey points at Muddy River, near Moapa, Nevada 1) Simulated flood-inundation extents for the Muddy River, near Moapa, Nevada Continuous Marine Seismic-Reflection Surveys and Derived Depth-to-Bedrock Point Data from the East River, New York City, New York Shapefile of flood inundation maps for Papillion Creek near Offutt Air Force Base, Nebraska Intersects for coastal region of Virginia generated to calculate short-term shoreline change rates using the Digital Shoreline Analysis System version 5.1 Short-term shoreline change rates for the Virginia coastal region using the Digital Shoreline Analysis System version 5.1 Horizontal-to-Vertical Spectral Ratio Soundings and Depth-to-Bedrock Data for New York City and Long Island, NY Intersects for the coastal region of Virginia generated to calculate long-term shoreline change rates using the Digital Shoreline Analysis System version 5.1 Long-term shoreline change rates for the Virginia coastal region, calculated with and without the proxy-datum bias using the Digital Shoreline Analysis System version 5.1 A GIS compilation of vector shorelines for the Virginia coastal region from the 1840s to 2010s Baseline for the Virginia coastal region, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1 VA Bias_Feature – Feature class containing Virginia proxy-datum bias information to be used in the Digital Shoreline Analysis System. USA, California, Lake Almanor: 1992-2023 Trends and a Targeted Annual Warning System for Greater Sage-Grouse in the Western United States (ver. 2.0, May 2023) USGS National and Global Oil and Gas Assessment Project—Barents Sea Area: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables