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The Coastal and Marine Hazards and Resources Program is an innovator in mapping, field studies, data collection, and laboratory analyses, whose expertise is sought by other governmental agencies, educational institutions, and private companies. In turn, we seek collaborative research and development opportunities with similar groups.
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Coastal Marine Geoscience Data System
Coastal Marine Geoscience Data System
Find published data sets of the USGS Coastal and Marine Hazards and Resources Program, as well as information about our field work.
Science Data Catalog
Science Data Catalog
Search or browse to discover data published by the USGS Coastal and Marine Hazards and Resources Program.
Filter Total Items: 855
Dependence of sedimentation behavior on pore-fluid chemistry for sediment collected offshore South Korea during the Second Ulleung Basin Gas Hydrate Expedition, UBGH2 Dependence of sedimentation behavior on pore-fluid chemistry for sediment collected offshore South Korea during the Second Ulleung Basin Gas Hydrate Expedition, UBGH2
One goal of Korea?s second Ulleung Basin Gas Hydrate Expedition, UBGH2, is to examine geotechnical properties of the marine sediment associated with methane gas hydrate occurrences found offshore eastern Korea in the Ulleung Basin, East Sea. Methane gas hydrate is a naturally occurring crystalline solid that sequesters methane in individual molecular cages formed by a lattice of water...
Multibeam Bathymetry Data Collected in 2016 from Grand Bay Alabama/Mississippi Multibeam Bathymetry Data Collected in 2016 from Grand Bay Alabama/Mississippi
The U.S Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) conducted a reconnaissance multibeam bathymetry (MBB) survey in Grand Bay Alabama/Mississippi on May 12th, 2016, as an assessment of the shallow water capabilities of a Teledyne Reson SeaBat T50-P multibeam echosounder. The survey is a part of an ongoing wetland/estuarine sediment study being...
Coral reef profiles for wave-runup prediction Coral reef profiles for wave-runup prediction
This data release includes representative cluster profiles (RCPs) from a large (>24,000) selection of coral reef topobathymetric cross-shore profiles (Scott and others, 2020). We used statistics, machine learning, and numerical modelling to develop the set of RCPs, which can be used to accurately represent the shoreline hydrodynamics of a large variety of coral reef-lined coasts around...
Model parameter input files to compare wave-averaged versus wave-resolving XBeach coastal flooding models for coral reef-lined coasts Model parameter input files to compare wave-averaged versus wave-resolving XBeach coastal flooding models for coral reef-lined coasts
This data release includes the XBeach input data files used to evaluate the importance of explicitly modeling sea-swell waves for runup. This was examined using a 2D XBeach short wave-averaged (surfbeat, XB-SB) and a wave-resolving (non-hydrostatic, XB-NH) model of Roi-Namur Island on Kwajalein Atoll in the Republic of Marshall Islands. Results show that explicitly modelling the sea...
Shore Proximal Marsh Sediment Deposition and Ancillary Data From Grand Bay National Estuarine Research Reserve, Mississippi, From July 2018 to January 2020 (Version 2.0) Shore Proximal Marsh Sediment Deposition and Ancillary Data From Grand Bay National Estuarine Research Reserve, Mississippi, From July 2018 to January 2020 (Version 2.0)
To better understand sediment deposition in marsh environments, scientists from the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center (USGS-SPCMSC) selected four study sites (Sites 5, 6, 7, and 8) along the Point Aux Chenes Bay shoreline of the Grand Bay National Estuarine Research Reserve (GNDNERR), Mississippi. These datasets were collected to serve as baseline...
Benthic Foraminiferal Data from Surface Samples and Sedimentary Cores in the Grand Bay Estuary, Mississippi and Alabama Benthic Foraminiferal Data from Surface Samples and Sedimentary Cores in the Grand Bay Estuary, Mississippi and Alabama
Microfossil (benthic foraminifera) samples were obtained from surficial grab (denoted with 'G') and push core (denoted with 'M') sediments collected in Grand Bay estuary, Mississippi and Alabama, to aid in the paleoenvironmental understanding of Grand Bay estuary. The data presented here were collected as part of the U.S. Geological Survey's Sea-level and Storm Impacts on Estuarine...
Multichannel minisparker seismic-reflection and chip sub bottom data collected in the Santa Barbara Channel in July of 2018 Multichannel minisparker seismic-reflection and chip sub bottom data collected in the Santa Barbara Channel in July of 2018
High-resolution multichannel minisparker seismic-reflection and chirp sub-bottom data were collected by the U.S. Geological Survey in July of 2018 between Point Conception and Coal Oil Point in the Santa Barbara Channel, California. Data were collected aboard the USGS R/V Parke Snavely during field activity 2018-645-FA. Data were acquired to support the USGS geologic hazards projects to...
Multibeam bathymetry, acoustic backscatter, and multichannel minisparker seismic-reflection data of USGS field activity 2016-666-FA collected in the Santa Barbara Basin in September and October of 2016 Multibeam bathymetry, acoustic backscatter, and multichannel minisparker seismic-reflection data of USGS field activity 2016-666-FA collected in the Santa Barbara Basin in September and October of 2016
High-resolution multichannel minkisparker seismic-reflection (MCS) profiles were collected by the U.S. Geological Survey in September and October of 2016 from the northern portion of the Santa Barbara Basin offshore southern California. Data were collected aboard the USGS R/V Parke Snavely and NOAA R/V Shearwater during field activity 2016-666-FA. Data were acquired to support USGS...
Sea-floor sediment samples, seabed imagery, and CTD instrument data collected on Stellwagen Bank in December, 2014, U.S. Geological Survey Field Activity 2014-070-FA Sea-floor sediment samples, seabed imagery, and CTD instrument data collected on Stellwagen Bank in December, 2014, U.S. Geological Survey Field Activity 2014-070-FA
This field activity is part of the effort to map geologic substrates of the Stellwagen Bank National Marine Sanctuary region off Boston, Massachusetts. The overall goal is to develop high-resolution (1:25,000) interpretive maps, based on multibeam sonar data and seabed sampling, showing surficial geology and seabed sediment dynamics. This cruise was conducted in collaboration with the...
Coastal wetlands of north shore Long Island, New York Coastal wetlands of north shore Long Island, New York
This data release contains coastal wetland synthesis products for the geographic region of north shore Long Island, New York. Metrics for resiliency, including unvegetated to vegetated ratio (UVVR), marsh elevation, and mean tidal range, are calculated for smaller units delineated from a Digital Elevation Model, providing the spatial variability of physical factors that influence wetland...
Slope Values Across Marsh-Forest Boundary in Chesapeake Bay Region, USA Slope Values Across Marsh-Forest Boundary in Chesapeake Bay Region, USA
The marsh-forest boundary in the Chesapeake Bay was determined by geoprocessing high-resolution (1 square meter) land use and land cover data sets. Perpendicular transects were cast at standard intervals (30 meters) along the boundary within a GIS by repurposing the Digital Shoreline Analysis System (DSAS) Version 5.0, an ArcGIS extension developed by the U.S. Geological Survey. Average...
Continuous Monitoring Data From Great Barnstable Marsh on Cape Cod, Massachusetts, 2017-19 Continuous Monitoring Data From Great Barnstable Marsh on Cape Cod, Massachusetts, 2017-19
Salt marshes are environmental ecosystems that contribute to coastal landscape resiliency to storms and rising sea level. Ninety percent of mid-Atlantic and New England salt marshes have been impacted by parallel grid ditching that began in the 1920s–40s to control mosquito populations and to provide employment opportunities during the Great Depression (James-Pirri and others, 2009...