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Comparison with the 2010 USGS preliminary model A comparison of the 2017 USGS South America seismic hazard model and the 2010 USGS preliminary model was made to see how the models differ. The comparison was made as the ratio of PGA at 10% probability of exceedance in 50 years. The ratio map is included here as a geo-referenced tiff (GeoTIFF). The gridded data for the 2017 PGA at 10% probability can be found here, while the gridded data for the 2010 PGA at 10% probability can be found in the zip archive that can be downloaded using a link on this page. Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, Raster, Shapefile; Tags: Argentina, Bolivia, Brazil, Chile, Colombia, All tags... Earthquake, Ecuador, French Guiana, Guyana, Hazard, Panama, Paraguay, Peru, Risk, Seismic, South America, Suriname, Trinidad and Tobago, Uruguay, Venezuela, Fewer tags Maximum considered earthquake geometric mean peak ground acceleration Maximum considered earthquake geometric mean peak ground acceleration maps (MCEG) are for assessment of the potential for liquefaction and soil strength loss, as well as for determination of lateral earth pressures in the design of basement and retaining walls. The maps are derived from the USGS seismic hazard maps in accordance with the site-specific ground-motion procedures of the NEHRP Recommended Seismic Provisions for New Building and Other Structures and the ASCE Minimum Design Loads for Buildings and Other Structures (also known as the ASCE 7 Standard; ASCE, 2016). The MCEG ground motions are taken as the lesser of probabilistic and deterministic values, as explained in the Provisions. The gridded probabilistic... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Argentina, Bolivia, Brazil, Chile, Colombia, All tags... Earthquake, Ecuador, French Guiana, Guyana, Hazard, Panama, Paraguay, Peru, Risk, Seismic, South America, Suriname, Trinidad and Tobago, Uruguay, Venezuela, Fewer tags Comparison with the 1999 Global Seismic Hazard Assessment (GSHAP) model A comparison of the 2017 USGS South America seismic hazard model and the Global Seismic Hazard Assessment Program (GSHAP) model was made to see how the models differ. The comparison was made as the ratio of PGA at 10% probability of exceedance in 50 years. The ratio map is included here as a geo-referenced tiff (GeoTIFF). The gridded data for the 2017 PGA at 10% probability can be found here, while the GSHAP data can be found here. Shedlock, K.M., Giardini, Domenico, Grünthal, Gottfried, and Zhang, Peizhan, 2000, The GSHAP Global Seismic Hazar Map, Sesimological Research Letters, 71, 679-686. https://doi.org/10.1785/gssrl.71.6.679 Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, Raster, Shapefile; Tags: Argentina, Bolivia, Brazil, Chile, Colombia, All tags... Earthquake, Ecuador, French Guiana, Guyana, Hazard, Panama, Paraguay, Peru, Risk, Seismic, South America, Suriname, Trinidad and Tobago, Uruguay, Venezuela, Fewer tags Crustal fault model The crustal fault model accounts for earthquakes that occur on faults that have not ruptured recently, but have have been active in historic and prehistoric periods. Although hundreds of Quaternary faults have been mapped, only a few of these faults have been studied sufficiently to reach a consensus regarding rate of deformation that can be applied in this hazard assessment. Information regarding the seismogenic source geometry and seismogenic source behavior that is necessary to model each fault is included for each fault. Files that can be used as input to computer hazard code are included. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile Gas chemistry and isotope compositions at Sulphur Banks, Kīlauea Volcano, Hawai`i Sulphur Banks, near the summit of Kīlauea Volcano on the Island of Hawai`i, is a thermal area where volcanic gases and steam are discharged. A research well drilled in the 1920s at Sulphur Banks (Allen, 1922) has developed into a “fumarole” that has been used for gas sampling over the years (e.g., Friedman and Reimer, 1987; Hilton and McMurtry, 1997; Shinohara and others, 1999), but has not been subject to periodic monitoring. Following the 2018 Kilauea eruption, draining of the lava lake, and cessation of activity at the summit (Neal and others, 2019), Sulphur Banks represents a continuing window into the outgassing dynamics at Kīlauea’s summit. Gas samples were collected at Sulphur Banks periodically since March... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Geochemistry, USGS Science Data Catalog (SDC), Volcanology points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Fisherman 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, CMHRP, Coastal Erosion, All tags... Coastal Habitat, Coastal Hazards, Coastal and Marine Hazards and Resources Program, Coastal processes, Delmarva Peninsula, Erosion, Fisherman Island, Fisherman Island, Fisherman Island National Wildlife Refuge, Fisherman Island National Wildlife Refuge, GIS, Geographic Information Systems, MHW, Mean High Water, 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, VA, Virginia, 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 DCpts, DTpts, SLpts: Dune crest, dune toe, and mean high water shoreline positions: Monomoy Island, 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 Cod, Coastal Hazards, All tags... Coastal and Marine Hazards and Resources Program, GIS, Geographic Information Systems, MA, MHW, Massachusetts, Mean High Water, Monomoy Island, Monomoy Island, Monomoy National Wildlife Refuge, Monomoy National Wildlife Refuge, North America, 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 Compilation of geologic slip rate constraints used in 1996—2014 U.S. National Seismic Hazard Maps Version 2.0 is now available. Please see new data release here: https://doi.org/10.5066/P9AB0TA7. A key input for probabilistic seismic hazard analysis (PSHA) is geologic slip rate data. Yet, no single database exists to house all geologic slip rate data used in these calculations. Here, we compile all geologic slip rates that are reportedly used in U.S. National Seismic Hazard Map (NSHM) releases from 1996, 2002, 2007, 2008, and 2014. Although a new NSHM was released in 2018, no changes were made in geologic slip rate data used. The geologic slip rates are collated from existing NSHM reports and documentation, and no new data are reported herein. The geologic slip rates are coupled with the most up-to-date fault... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: National Seismic Hazard Map, USGS Science Data Catalog (SDC), United States, faults, geologic slip rates Airborne magnetic and radiometric survey, Charleston, South Carolina and surrounds, 2019 This data release provides digital flight line data for a high-resolution airborne magnetic and radiometric survey over Charleston, South Carolina and the surrounding region. These data were collected to better understand earthquake hazards in the Charleston seismic zone by imaging structural features in the crystalline basement and to image heavy mineral sands containing titanium, zirconium, and rare earth elements using radiometric data (gamma spectrometry), which is sensitive to thorium in monazite. This survey represents a collaborative effort by the U.S. Geological Survey (USGS) Earthquake Hazards Program, Mineral Resources Program, National Cooperative Mapping Program, and Earth Mapping Resource Initiative... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Berkeley County, Charleston, Charleston County, Clarendon County, Colleton County, All tags... Dorchester County, EHP, Earth Mapping Resources Initiative, EarthMRI, Earthquake Hazards Program, Economic Geology, GGGSC, Geology, Geophysics, and Geochemistry Science Center, Geophysics, Georgetown County, MRP, Mineral Resources, Mineral Resources Program, NCGMP, National Cooperative Geologic Mapping Program, Orangeburg County, Sedimentology, Seismology, South Carolina, Structural Geology, U.S. Geological Survey, USGS, USGS Science Data Catalog (SDC), United States, Williamsburg County, aeromagnetic surveying, aeroradiometric surveying, airborne geophysical survey, economy, geophysics, geoscientificInformation, geospatial datasets, potassium, thorium, uranium, Fewer tags points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Assawoman 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: Assawoman Island, Assawoman Island, Atlantic Ocean, Barrier Island, Bayesian Network, All tags... CMHRP, Coastal Erosion, Coastal Habitat, Coastal Hazards, Coastal and Marine Hazards and Resources Program, Coastal processes, Delmarva Peninsula, Erosion, GIS, Geographic Information Systems, MHW, Mean High Water, 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, VA, Virginia, Virginia Coast Reserve, Virginia Coast Reserve, Wallops Island, Wallops Island, 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: Myrtle 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, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Ocean, Barrier Island, CMHRP, Coastal and Marine Hazards and Resources Program, Delmarva Peninsula, All tags... Myrtle Island, Myrtle Island, North America, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, VA, Virginia Coast Reserve, Virginia Coast Reserve, Virginia,, Woods Hole Coastal and Marine Science Center, coastal processes, geomorphology, geospatial analysis, geospatial datasets, oceans, study areas, Fewer tags shoreline, inletLines: Shoreline polygons and tidal inlet delineations: Metompkin 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, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Ocean, Barrier Island, CMHRP, Coastal and Marine Hazards and Resources Program, Delmarva Peninsula, All tags... Metompkin Island, Metompkin Island, North America, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, VA, Virginia Coast Reserve, Virginia Coast Reserve, Virginia,, Woods Hole Coastal and Marine Science Center, coastal processes, geomorphology, geospatial analysis, geospatial datasets, oceans, study areas, Fewer tags Compilation of geologic slip rate constraints used in 1996—2014 U.S. National Seismic Hazard Models (ver. 2.0, February 2022) A key input for probabilistic seismic hazard analysis (PSHA) is geologic slip rate data. Here, we compile all geologic slip rates that are reportedly used in U.S. National Seismic Hazard Map (NSHM) releases from 1996, 2002, 2007, 2008, and 2014. Although a new NSHM was released in 2018, no changes were made in geologic slip rate data used. The geologic slip rates are collated from existing NSHM reports and documentation, and no new data are reported herein. The geologic slip rates are coupled with the fault geometries used in NSHM2014/2018 calculations. The data are presented spatially as a shapefile (SHP), in keyhole markup language (KML) and geoJSON. A readme file accompanies this dataset explaining details of... Categories: Data, Data Release - Revised; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Alaska, Arizona, California, Colorado, Geomorphology, All tags... Idaho, Montana, NSHM, National Seismic Hazard Model, Nevada, New Mexico, Oregon, Texas, USGS Science Data Catalog (SDC), United States, Utah, Washington, Wyoming, faults, geologic slip rates, Fewer tags Hypothetical landslide failure extents for hazard assessment, Barry Arm, western Prince William Sound, Alaska This data release contains extent shapefiles for 16 hypothetical slope failure scenarios for a landslide complex at Barry Arm, western Prince William Sound, Alaska. The landslide is likely active due to debuttressing from the retreat of Barry Glacier (Dai and others, 2020) and sits above Barry Arm, posing a tsunami risk in the event of slope failure (Barnhart and others, 2021). Since discovery of the landslide by a citizen scientist in 2020, kinematic structural elements have been mapped (Coe and others, 2020) and ground-based and satellite synthetic aperture radar (SAR) have been used to track ongoing movement at a high spatial resolution (Schaefer and others, 2020; Schaefer and others, 2022). These efforts have... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Alaska, D-Claw, Geomorphology, Marine Geology, Prince William Sound, All tags... USGS Science Data Catalog (SDC), United States, Whittier, geoscientificInformation, geospatial datasets, hazard preparedness, hazards, landslides, mathematical simulation, modeling, shapefile, tsunamis, Fewer tags Wave thrust values at point locations along the shorelines of Massachusetts and Rhode Island This product provides spatial variations in wave thrust along shorelines in Massachusetts and Rhode Island. Natural features of relevance along the State coast are salt marshes. In recent times, marshes have been eroding primarily through lateral erosion. Wave thrust represents a metric of wave attack acting on marsh edges. The wave thrust is calculated as the vertical integral of the dynamic pressure of waves. This product uses a consistent methodology with sufficient spatial resolution to include the distinct features of each marsh system. Waves under different climatological wind forcing conditions were simulated using the coupled ADCIRC/SWAN model system. The estuarine and bay areas are resolved with horizontal... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Coastal Wetlands, Coastal processes, Geomorphology, Massachusetts, Mathematical modeling, All tags... Ocean waves, Rhode Island, Salt marsh, Shoreline, United States of America, Vulnerability, Wave attack, Wave thrust, biota, wetland ecosystems, Fewer tags Baseline for the coast of Puerto Rico's main island generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1 (ver. 2.0, March 2023) The U.S. Geological Survey (USGS) maintains shoreline positions for the United States' coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Coast, Baseline, CMGP, Caribbean, Coastal Research and Planning Institute of Puerto Rico, All tags... Coastal and Marine Geology Program, DSAS, Digital Shoreline Analysis System, Puerto Rico, Puerto Rico Shoreline Change, Shoreline, Shoreline Change, U.S. Geological Survey, USGS, United States, University of Puerto Rico, University of Puerto Rico Graduate School of Planning, WHCMSC, Woods Hole Coastal and Marine Science Center, coastal processes, environment, geoscientificInformation, geospatial datasets, oceans, Fewer tags Digital Shoreline Analysis System (DSAS) version 4.4 transects with long-term linear regression rate calculations for the sheltered north coast of Alaska, from Icy Cape to Cape Prince of Wales This dataset consists of long-term (less than 68 years) shoreline change rates for the sheltered north coast of Alaska from Icy Cape to Cape Prince of Wales. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.4, an ArcGIS extension developed by the U.S. Geological Survey. Rates of shoreline change were calculated using a linear regression rate-of-change (lrr) method based on available shoreline data between 1948 and 2016. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate rates of change. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Arctic, Bering Land Bridge National Preserve, CMHRP, Cape Espenberg, Cape Krusenstern National Monument, All tags... Cape Lisburne, Cape Prince of Wales, Cape Thompson, Chukchi Sea, Coastal and Marine Hazards and Resources Program, DSAS, Deering, Digital Shoreline Analysis System, Distributions, Icy Cape, Kivalina, Kotzebue Sound, North Slope, PCMSC, Pacific Coastal and Marine Science Center, Physical/Chemical Features, Point Hope, Point Lay, Red Dog Dock, Shishhmaref, Shoreline, Shoreline Change, U.S. Geological Survey, USGS, Wales, coastal processes, environment, geoscientificInformation, oceans, shoreline accretion, shoreline erosion, Fewer tags Digital Shoreline Analysis System (DSAS) version 4.4 transects with long-term linear regression rate calculations for the exposed north coast of Alaska, from Icy Cape to Cape Prince of Wales This dataset consists of long-term (less than 68 years) shoreline change rates for the exposed coast of the north coast of Alaska from Icy Cape to Cape Prince of Wales. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.4, an ArcGIS extension developed by the U.S. Geological Survey. Rates of shoreline change were calculated using a linear regression rate-of-change (lrr) method based on available shoreline data between 1948 and 2016. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate shoreline change... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Arctic, Bering Land Bridge National Preserve, CMHRP, Cape Espenberg, Cape Krusenstern National Monument, All tags... Cape Lisburne, Cape Prince of Wales, Cape Thompson, Chukchi Sea, Coastal and Marine Hazards and Resources Program, DSAS, Deering, Digital Shoreline Analysis System, Distributions, Icy Cape, Kivalina, Kotzebue Sound, North Slope, PCMSC, Pacific Coastal and Marine Science Center, Physical/Chemical Features, Point Hope, Point Lay, Red Dog Dock, Shishhmaref, Shoreline, Shoreline Change, U.S. Geological Survey, USGS, Wales, coastal processes, environment, geoscientificInformation, oceans, shoreline accretion, shoreline erosion, Fewer tags Navigation tracklines from a 2015 multibeam survey near Cross Sound, southeast Alaska, during field activity 2015-629-FA In 2015 the U.S. Geological Survey, Pacific Coastal and Marine Science Center, in cooperation with the Alaska Department of Fish and Game (ADFG), collected bathymetry and acoustic-backscatter data near Cross Sound in southeast Alaska using a Reson 7111 multibeam echosounder mounded to the ADFG R/V Solstice. This section of the data release provides the survey tracklines as a GIS shapefile. All files have accompanying FGDC metadata. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: CMHRP, Coastal and Marine Hazards and Resources Program, Cross Sound, Distributions, PCMSC, All tags... Pacific Coastal and Marine Science Center, State of Alaska, U.S. Geological Survey, USGS, field observation, geoscientificInformation, geospatial datasets, marine geophysics, navigation, navigational data, polyline shapefile, tracklines, Fewer tags NSHM23_EQGeoDB_v2 This database consists of geologic slip rate information and metadata used to constrain NSHM23 geodetic and geologic deformation models. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile « 1 2 3 4 5 ... 12 »