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During Hurricane Irma in September 2017, Florida and Georgia experienced significant impacts to beaches, dunes, barrier islands, and coral reefs. Extensive erosion and coral losses result in increased immediate and long-term hazards to shorelines that include densely populated regions. These hazards put critical infrastructure at risk to future flooding and erosion and may cause economic losses. The USGS Coastal and Marine Hazards Resources Program (CMHRP) is assessing hurricane-induced coastal erosion along the southeast US coastline and implications for vulnerability to future storms. Shoreline positions were compiled prior to and following Hurricane Irma along the sandy shorelines of the Gulf of Mexico and Atlantic...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Accretion,
Atlantic Coast,
CMGP,
Coastal and Marine Geology Program,
DSAS,
This dataset consists of 42 magnetotelluric (MT) stations collected in 2017 in the Northwest Geysers, CA and 534 gravity stations collected in 2017 and 2019. The U.S. Geological Survey acquired these data as part of a project to image the heat source in the Northwest Geysers. Support was from the U.S. Geological Survey's Volcano Hazards Program.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Apparent Resistivity,
California,
Earth Magnetic Field,
GMEGSC,
Geology, Minerals, Energy, and Geophysics Science Center,
The NABat sampling frame is a grid-based finite-area frame spanning Canada, the United States, and Mexico consisting of N total number of 10- by 10-km (100-km2) grid cell sample units. This grain size is biologically appropriate given the scale of movement of most bat species, which routinely travel many kilometers each night between roosts and foraging areas and along foraging routes. A draw of sample units from a finite sampling frame using the GRTS design produces an ordered list of units such that any ordered subset of that list is also randomized and spatially balanced. This vector dataset is the individual grid-based sampling grid for Hawaii at a 5x5km resolution.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Alaska,
Canada,
Hawaii,
Mexico,
Puerto Rico,
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,
Cedar Island,
Cedar Island,
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 and Marine Geology Program,
Fire Island,
This dataset includes polygons that describe areas of rock outcrop in the area of the Stillwater Complex, Montana. The Stillwater Complex is an Archean, ultramafic to mafic layered intrusion exposed in the Beartooth Mountains in south-central Montana. This igneous intrusion contains magmatic mineralization that is variably enriched in strategic and critical commodities such as chromium, nickel, and the platinum-group elements (PGE). Polygons representing rock outcrops were digitized in a Geographic Information System (GIS) using georeferenced maps and orthophoto imagery from published reports and field mapping sheets. This is a compilation of both legacy data and outcrops from recent field mapping. This dataset...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Mineral Resources,
Montana,
Rock Outcrop,
Stillwater,
Stratigraphy,
This data release provides multi-element data for drill core samples from the Mesoproterozoic Nonesuch Formation and Copper Harbor Conglomerate at the Copperwood copper deposit, Michigan, USA. Gold, platinum, and palladium data were collected by fire assay; copper and silver were collected by assay; and other elements were collected by inductively coupled plasma-optical emission spectrometry (ICP-OES) or inductively coupled plasma-mass spectrometry (ICP-MS) following a digestion that used hydrochloric, nitric, perchloric and hydrofluoric acids. The Copperwood copper deposit is a sediment-hosted stratiform copper deposit in the Presque Isle Syncline of the upper peninsula of Michigan. The deposit has a 2018 mineral...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Economic Geology,
Geochemistry,
Mesoproterozoic,
Michigan,
Mineral Resources,
Shallow subsurface electrical conductivity was mapped at Wigeon National Wildlife Refuge (NWR) in northeast Montana using the DUALEM421 electromagnetic sensor (Dualem, Inc., ON, Canada) in the winter of 2017. Data were acquired by towing the DUALEM421 sensor on a sled behind an all-terrain vehicle or snow machine, with the sensor at a nominal height of 0.3 meters (m) above ground surface. Approximately 25 line-kilometers (km) of data were acquired over an area of approximately 2 square-kilometer. Data were manually edited to remove sensor dropouts, lag corrected for apparent offsets between recorded GPS location and data locations for each coil pair, and averaged to a sounding distance of 1m along the survey path;...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: GGGSC,
Geology, Geophysics, and Geochemistry Science Center,
Montana,
NOROCK,
National Wildlife Refuge,
Shallow subsurface electrical conductivity was mapped at Westgard National Wildlife Refuge (NWR) in northeast Montana using the DUALEM421 electromagnetic sensor (Dualem, Inc., ON, Canada) in the winter of 2017. Data were acquired by towing the DUALEM421 sensor on a sled behind an all-terrain vehicle or snow machine, with the sensor at a nominal height of 0.3 meters (m) above ground surface. Approximately 21 line-kilometers (km) of data were acquired over an area of approximately .5 square-kilometers. Data were manually edited to remove sensor dropouts, lag corrected for apparent offsets between recorded GPS location and data locations for each coil pair, and averaged to a sounding distance of 1m along the survey...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: GGGSC,
Geology, Geophysics, and Geochemistry Science Center,
Montana,
NOROCK,
National Wildlife Refuge,
Shallow subsurface electrical conductivity was mapped at Northeast National Wildlife Refuge (NWR) in northeast Montana using the DUALEM421 electromagnetic sensor (Dualem, Inc., ON, Canada) in the winter of 2017. Data were acquired by towing the DUALEM421 sensor on a sled behind an all-terrain vehicle or snow machine, with the sensor at a nominal height of 0.3 meters (m) above ground surface. Approximately 14 line-kilometers (km) of data were acquired over an area of approximately 2 square-kilometer. Data were manually edited to remove sensor dropouts, lag corrected for apparent offsets between recorded GPS location and data locations for each coil pair, and averaged to a sounding distance of 1m along the survey...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: GGGSC,
Geology, Geophysics, and Geochemistry Science Center,
Montana,
NOROCK,
National Wildlife Refuge,
Shallow subsurface electrical conductivity was mapped at Jerde National Wildlife Refuge (NWR) in northeast Montana using the DUALEM421 electromagnetic sensor (Dualem, Inc., ON, Canada) in the winter of 2017. Data were acquired by towing the DUALEM421 sensor on a sled behind an all-terrain vehicle or snow machine, with the sensor at a nominal height of 0.3 meters (m) above ground surface. Approximately 10 line-kilometers (km) of data were acquired over an area of approximately 1 square-kilometer. Data were manually edited to remove sensor dropouts, lag corrected for apparent offsets between recorded GPS location and data locations for each coil pair, and averaged to a sounding distance of 1m along the survey path;...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: GGGSC,
Geology, Geophysics, and Geochemistry Science Center,
Jerde,
Montana,
NOROCK,
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 one new mean high water (MHW) shoreline extracted from lidar data collected in 2017 for the entire coastal region of North Carolina which is divided into four subregions: northern North Carolina...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Atlantic Coast,
Baseline,
DSAS,
Digital Shoreline Analysis System,
North Carolina,
The U.S. Geological Survey (USGS), Colorado Division of Reclamation, Mining and Safety (DRMS), and Coal Creek Watershed Coalition (CCWC) working independently, have intermittently collected samples of surface- and groundwater and springs around Mount Emmons, near Crested Butte, Colorado. This data release is a compilation of the comprehensive inorganic chemical analyses conducted as a result of that sampling. The earliest samples were collected in the summer of 1997, and subsequent sampling has continued through 2019. Water samples collected in the Elk Creek basin, sample identifiers starting with EC, have been previously published in three U.S. Geological Survey reports; Verplanck and others, 2007, Manning and...
Categories: Data,
Data Release - Revised;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: CWCC,
Coal Creek,
Coal Creek Watershed Coalition,
Colorado,
Colorado Division of Reclamation, Mining and Safety,
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,
Cedar Island,
Cedar Island,
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,
Cedar Island,
Observations of irrigated agricultural land within the Ranegras Plain Groundwater Basin in Arizona. Crops were verified in situ twice in 2021, first on May 19th and again on September 1st; based on digitized field boundaries. Field boundaries were digitized from U.S. Department of Agriculture, National Agricultural Imagery Program images dated 2021 and supplemented with Landsat and Sentinel2 imagery collections accessed via the Sentinel Hub, Sentinel Playground (https://apps.sentinel-hub.com/sentinel-playground). Satellite images were also used to identify the length of the growing season and crop condition. Water withdrawals were calculated using the modified Blaney-Criddle model of calculating consumptive use...
Categories: Data,
Data Release - In Progress;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arizona,
La Paz,
Land Use Change,
Ranegras Plain Groundwater Basin,
USGS Science Data Catalog (SDC),
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 one new mean high water (MHW) shoreline extracted from lidar data collected in 2017 for the entire coastal region of North Carolina which is divided into four subregions: northern North Carolina...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Atlantic Coast,
Baseline,
DSAS,
Digital Shoreline Analysis System,
North Carolina,
The Southern San Andreas fault (SSAF) poses one of the largest seismic risks in California. However, structural properties around Coachella Valley remain enigmatic. In 2019, we collected magnetotelluric soundings (MT) to help inform depth-dependent fault zone geometry, fluid content and porosity. This project was led by the Institute of Geophysics and Planetary Physics at the University of California San Diego in partnership with U.S. Geological Survey and funded in large part by the Southern California Earthquake Center (SCEC). The MT data were collected using Zonge International 32-bit ZEN data loggers with ANT-4 magnetic induction coils and Borin Ag-AgCl electrodes with 50 m dipoles. The ZEN was programmed to...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: California,
Coachella Valley,
Geophysics,
Indio Hills,
MT,
The U.S. Geological Survey (USGS) Geology, Geophysics and Geochemistry Science Center (GGGSC) collaborated with the USGS Science Analytics and Synthesis (SAS) team to preserve and release a subset of magnetotelluric data from the San Andreas Fault in Loma Prieta, California. The San Andreas Fault data were collected by the Branch of Geophysics, a precursor to the now GGGSC, between 1989 and 1994. The magnetotelluric data selected for this preservation project were collected in 1989 and 1990 using USGS portable truck mounted systems that measure the distribution of electrical conductivity beneath the surface of the earth. Truck mounted systems of this era output data to 3.5” discs, from which data were recovered...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: California,
EDI,
Electrical Data Interchange,
Fresno County,
Geology, Geophysics, and Geochemistry Science Center (GGGSC),
Observations of irrigated agricultural land within the Harquahala Irrigation Non-Expansion Area Groundwater Basin in Arizona. Crops were verified in situ three times in 2021, first on March 3rd, then on May 19th, and finally on September 2nd; based on digitized field boundaries. Field boundaries were digitized from U.S. Department of Agriculture, National Agricultural Imagery Program images dated 2021 and supplemented with Landsat and Sentinel2 imagery collections accessed via the Sentinel Hub, Sentinel Playground (https://apps.sentinel-hub.com/sentinel-playground). Satellite images were also used to identify the length of the growing season and crop condition. Water withdrawals were calculated using the modified...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arizona,
Harquahala Irrigation Non-Expansion Area Groundwater Basin,
La Paz,
Land Use Change,
Maricopa,
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