Data

Aerial imagery acquired with a small unmanned aircraft system (sUAS), in conjunction with surveyed ground control points (GCP) visible in the imagery, can be processed with structure-from-motion (SfM) photogrammetry techniques to produce high-resolution orthomosaics, three-dimensional (3D) point clouds and digital elevation models (DEMs). This dataset, prepared by the U.S. Geological Survey (USGS)

The U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS SPCMSC), collected multibeam bathymetry data off the coast of Santa Rosa Island, Florida in June of 2019. The data was collected as part of the USGS Resource Evaluation for Management Applications (CREMA) project. This USGS Data Release includes the resulting processed elevation point data (XYZ) as derived from a 1-m

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida (USGS SPCSMC), conducted a geophysical survey of Cedar Island, Virginia, August 2019. During this study, multibeam bathymetry and backscatter data were collected aboard the R/V Sallenger, while single-beam bathymetry were collected aboard a towed seismic sled. Efforts were support

Aerial imagery acquired with a small unmanned aircraft system (sUAS), in conjunction with surveyed ground control points (GCP) visible in the imagery, can be processed with structure-from-motion (SfM) photogrammetry techniques to produce high-resolution orthomosaics, three-dimensional (3D) point clouds and digital elevation models (DEMs). This dataset, prepared by the U.S. Geological Survey (USGS)

The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) conducted a multibeam bathymetry survey of a selected area offshore Cedar Key, Florida (FL) for the Florida Big Bend Pilot Study funded by USGS and the National Oceanic Atmospheric Administration (NOAA). The study involves federal, state, and local agencies who are taking a comprehensive approach to investi

The purpose of these datasets was to define which samples contained antibiotic resistance genes (screened antibiotic resistance gene targets) and the number of detectable targets per sample (sediment, coral mucus and water). These data were determined from samples collected in Southeast Florida and the Florida Keys, in support of the Southeast Florida Coral Reef Initiative.

The U.S Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) conducted an ellipsoidally referenced survey using a multibeam echosounder within Grand Bay and Point Aux Chenes Bay, Alabama/Mississippi May 7-10, 2019. The survey is a part of the Estuarine and Marsh Geology Research Project (EMRG) which focuses on evaluating the linkage between marsh shoreline metrics and

This data release is an archive of sedimentary laboratory analytical data produced by scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS SPCMSC) for sediment cores and surface samples collected from coastal marshes in Georgia (GA), Virginia (VA), and Massachusetts (MA). Collaborators from USGS Patuxent Wildlife Research Center (PWRC) and the Virginia

Hydrographic sheets (H-sheets) produced by the National Ocean Service (NOS) during the 1800s provide historic sounding (water depth) measurements of coastal areas. The data can be vectorized into a geographic information system (GIS), adjusted to a modern vertical datum, and converted into a digital elevation model to provide an interpretation of the historic seafloor elevation. These data were pr

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 conducted by th

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 data sets were collected to serve as baseline data prior

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 Environments an