Data
Explore data releases published by the USGS St. Petersburg Coastal and Marine Science Center below.
Filter Total Items: 366
National Assessment of Hurricane-Induced Coastal Erosion Hazards: Puerto Rico
These datasets contain information on the probabilities of hurricane-induced erosion (collision, inundation, and overwash) for each 100-meter (m) section of the Puerto Rico open-ocean coastline for category 1-5 hurricanes. The analysis is based on a storm-impact scaling model (Sallenger, 2000; https://www.jstor.org/stable/4300099) that uses observations of beach morphology combined with sophistica
Atlantic and Gulf Coast Sandy Coastline Topo-Bathy Profile and Characteristic Database
Seamless topographic-bathymetric (topo-bathy) profiles and their derived morphologic characteristics were developed for sandy coastlines along the Atlantic and Gulf coasts of the United States. The topo-bathy profiles are published as a database in the Hierarchical Data Format version 5 (HDF5) which contain cross-shore distance coordinates, Universe Transverse Mercator (UTM) coordinate system East
Assessing the Northeastern Gulf of Mexico Microtidal Wetland System Change in the Apalachicola-Big-Bend Region Under Sea-Level-Rise: Model Inputs and Outputs
Using the Hydrodynamic-Marsh Equilibrium Model (Hydro-MEM), the wetlands system within the Apalachicola-Big-Bend region of Florida (FL) (Fig. 1) was assessed using three sea-level rise scenarios of intermediate-low (50 centimeters [cm] by 2100), intermediate (1 meter [m] by 2100), and intermediate-high (1.5 m by 2100) from the National Oceanic and Atmospheric Administration (NOAA). Hydro-MEM input
Overlapping seabed images and location data acquired using the SQUID-5 system at Eastern Dry Rocks coral reef, Florida, in May 2021, with derived point cloud, digital elevation model and orthomosaic of submerged topography
Underwater images were collected using a towed-surface vehicle with multiple downward-looking underwater cameras developed by the U.S. Geological Survey (USGS). The system is named the Structure-from-Motion (SfM) Quantitative Underwater Imaging Device with Five Cameras (SQUID-5).
The raw images and associated navigation data were collected at Eastern Dry Rocks, a coral reef located within the Flo
Time Series of Autonomous Carbonate System Parameter Measurements in Middle Tampa Bay, Florida, USA
This data set contains time series measurements of carbonate system parameters including water temperature (degrees C), pressure (dbars), salinity, pHT (pH on the total scale), carbon dioxide (ppm), dissolved oxygen (milligrams/L), and photosynthetically active radiation (microEinsteins). These data were collected in Middle Tampa Bay, Florida, by the U.S. Geological Survey (USGS) St. Petersburg Co
Beach Profile Data Collected from Madeira Beach, Florida
This dataset, prepared by the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center, provides beach profile data collected at Madeira Beach, Florida. Data were collected by a walking person equipped with a Global Positioning System receiver and a GPS antenna affixed to a surveying backpack. The horizontal position data are given in the Universal Transverse Mercator (UTM) projecte
Archive of Chirp Subbottom Profile and Single-Beam Bathymetry Data Collected in 2021 From Santa Rosa Island, Florida
As part of the Coastal Resource Evaluation for Management Applications (CREMA) Project, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) conducted a nearshore geophysical survey to map the shoreface and determine Holocene stratigraphy near Pensacola Beach, Florida (FL) in June of 2021. The objective of the project is to investigate nearsho
Aerial Imagery of the North Carolina Coast: 2020-02-08 to 2020-02-09
The U.S. Geological Survey (USGS) Remote Sensing Coastal Change (RSCC) project collects aerial imagery along coastal swaths, in response to storm events, with optimized endlap/sidelap and precise position information to create high-resolution orthomosaics, three-dimensional (3D) point clouds, and digital elevation/surface models (DEMs/DSMs) using Structure-from-Motion (SfM) photogrammetry methods.
Aerial Imagery of the North Carolina Coast: 2020-05-08 to 2020-05-09
The U.S. Geological Survey (USGS) Remote Sensing Coastal Change (RSCC) project collects aerial imagery along coastal swaths, in response to storm events, with optimized endlap/sidelap and precise position information to create high-resolution orthomosaics, three-dimensional (3D) point clouds, and digital elevation/surface models (DEMs/DSMs) using Structure-from-Motion (SfM) photogrammetry methods.
Sediment and Radiochemical Characteristics from Shore-Perpendicular Estuarine and Marsh Transects in the Grand Bay National Estuarine Research Reserve, Mississippi
To examine sediment transport and provenance between a marsh and estuary, surface sediments were collected along two transects in the Grand Bay National Estuarine Research Reserve, Mississippi (GNDNERR). Each shore-perpendicular transect consisted of fifteen surface samples, collected every 2.5 meters (m) from 10-m out into the estuary to 25-m into the marsh from the shoreline. Sediment samples we
Cold-water Coral Microbiomes (Anthothela spp.) from Baltimore and Norfolk Canyons: Raw and Processed Data
The files in this data release are the raw and processed DNA sequence files referenced in the journal article by Lawler and others (2016) titled "Coral-Associated Bacterial Diversity is Conserved across Two Deep-Sea Anthothela Species." They represent a 16S rRNA gene amplicon survey of the coral's microbiome completed using Roche 454 pyrosequencing with titanium reagents. Baltimore and Norfolk Can
Projected Seafloor Elevation Change and Relative Sea Level Rise along the Florida Reef Tract from Miami to Boca Chica Key 25, 50, 75, and 100 Years from 2016
The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted research to quantify bathymetric changes along the Florida Reef Tract (FRT) from Miami to Boca Chica Key, Florida. Changes in seafloor elevation were calculated from the 1930s to 2016 using digitized hydrographic sheet sounding data and light detection and ranging (lidar)-derived digital elevation models (