Data

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

Using the numerical model ADCIRC, astronomic tides were simulated at Mobile Bay, Alabama under scenarios of Holocene geomorphic configurations representing the period of 3500 to 2300 years before present including a breach in the Morgan Peninsula and a land bridge at Pass aux Herons (see Figure 1), as described in Smith and others, 2020. Model inputs in the form of topography and bathymetry and mo

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

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

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

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

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,

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

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

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

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,