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Data

Explore data releases published by the USGS St. Petersburg Coastal and Marine Science Center below. 

Filter Total Items: 343

Historical Shorelines for Fire Island and Great South Bay, New York (1834 to 1875): Georeferenced Topographic Sheets and Vector Digital Data

Topographic sheets (t-sheets) produced by the National Ocean Service (NOS) during the 1800s provide the position of past shorelines. The shoreline data can be vectorized into a geographic information system (GIS) and compared to modern shoreline data to calculate estimates of long-term shoreline rates of change. Many t-sheets were scanned and digitized by the National Oceanic and Atmospheric Admin

usSEABED: Offshore surficial-sediment database for samples collected within the United States Exclusive Economic Zone

This usSEABED database contains six point coverages of known sediment samples, inspections, and probes from the usSEABED data collection for samples collected within the United States Exclusive Economic Zone, integrated using the software system dbSEABED. Textural, statistical, geochemical, geophysical, dominant component, and color data are available as three files, which represent the ways the d

SQUID-5 structure-from-motion point clouds, bathymetric maps, orthomosaics, and underwater photos of coral reefs in Florida, 2019

The new structure-from-motion (SfM) quantitative underwater imaging device with five cameras (SQUID-5) was tested in July 2019 at Crocker Reef in the Florida Keys. The SQUID-5 was developed to meet the unique challenges of collecting SfM underwater imagery, including multiple cameras with different perspectives, accurate geographic locations of images, accurate and precise scaling of derived surfa

Sedimentary Data from Grand Bay, Alabama/Mississippi, 2014-2016

This data release is an archive of sedimentary field and laboratory analytical data collected in Grand Bay, Alabama/Mississippi from 2014-2016 by scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS SPCMSC). This work, a component of the SPCMSC's Sea-level and Storm Impacts on Estuarine Environments and Shorelines (SSIEES) project, provides the necessar

Ground Control Point Locations, Elevations and Photographs From North Topsail Beach and Camp Lejeune, North Carolina, June 2019

Scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center collected location data (horizontal and vertical coordinates) for 53 Ground Control Points (GCP) in North Topsail Beach and within the Camp Lejeune Marine Corps Base, North Carolina, in June 2019. These GCPs were used to georectify aerial imagery taken post-Hurricane Florence (landfall September 14,

Archive of Digitized Analog Boomer Seismic Reflection Data Collected from the Northern Gulf of Mexico: 1982, 1985, 1989, 1991, and 1992

The U.S. Geological Survey (USGS) Coastal and Marine Hazards and Resources Program (CMHRP) has actively collected geophysical and sedimentological data in the northern Gulf of Mexico for several decades, including shallow subsurface data in the form of high-resolution seismic reflection profiles (HRSP). Prior to the mid-1990s most HRSP data were collected in analog format as paper rolls of continu

Dauphin Island Decadal Forecast Evolution Model Inputs and Results

The model input and output of topography and bathymetry values resulting from forecast simulations of coupled modeling scenarios occurring between 2015 and 2025 at Dauphin Island, Alabama, and described in U.S. Geological Survey (USGS) Open-File Report 2020-1001 (https://doi.org/10.3133/ofr20201001), are provided here. For further information regarding model input generation and visualization of m

Dauphin Island Decadal Hindcast Model Inputs and Results

The model input and output of bathymetry and topography elevations resulting from a deterministic simulation from 2004 to 2015 at Dauphin Island, Alabama, as described in Mickey and others (2020), are provided here. For further information regarding model input generation and visualization of model output topography and bathymetry refer to Mickey and others (2020). For more information visit: Mic

Shore Proximal Sediment Deposition, Elevation, Turbidity, and Water Level Data for Four Sites in the Coastal Marsh at Grand Bay National Estuarine Research Reserve, Mississippi, From October 2016 Through October 2017

To 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 in the Grand Bay National Estuarine Research Reserve, Mississippi (GNDNERR). Each site consisted of four plots located along a transect perpendicular to the marsh-estuary shoreline at 5-meter (m) increments (5,

Coastal Bathymetry Data Collected in August 2018 from the Chandeleur Islands, Louisiana

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida (USGS-SPCSMC), conducted a bathymetric survey of the Northern Chandeleur Islands, in August 2018. During this study, multibeam bathymetry data were collected aboard the research vessel (R/V) Sallenger, while single-beam bathymetry data were collected aboard the R/V Jabba Jaw. Effo

Time Series of Autonomous Carbonate System Parameter Measurements from Crocker Reef, Florida, USA

This dataset contains carbonate system data collected by scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center to investigate the effects of carbon cycling, coastal and ocean acidification at Crocker Reef located along the Florida Keys Reef Tract, in Southeast Florida, USA. These data were collected using an autonomous instrument called the Ocean Carbon

Footprints of Lidar Datasets Published at the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center since 2001

Footprints were generated for each lidar (light detection and ranging) dataset published by the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS SPCMSC) since 2001. The purpose of this data release is to provide an easily accessible index of the coverage of available lidar data. Relating these footprints to field activities and publications allows users to sort by area