Data

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 the eastern Gulf of Mexico near Tampa Bay, Florida, at the University...

Groundwater samples were collected from a South Florida Water Management District (SFWMD) monitoring well at the discharge point of the Kissimmee River into Lake Okeechobee between 2018 and 2019. The groundwater source was the Upper Floridan Aquifer at approximately 1,000 feet below land surface (fbls). Samples were dosed with nitrogen, phosphorus, and carbon, then sampled over a period...

These datasets contain information on the probabilities of hurricane-induced erosion (collision, inundation, and overwash) for each 1-km section of the United States sandy 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

The Seafloor Elevation Change Analysis Tool (SECAT) is a Python script intended to be run as a script tool by ArcMap or ArcGIS Pro that automates their intricate methodology.

The National Assessment of Coastal Change Hazards project aims to understand and forecast coastal landscape change. This dataset delineates coastal cliff features (cliff tops, toes, and 3D elevation transects) to assess the hazard posed by eroding coastal cliffs in Puerto Rico, Culebra, and Vieques. The delineation of cliff tops and toes can be used as an input into cliff hazard metrics...

The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted research to quantify bathymetric changes in the Upper Florida Keys (UFK) from Triumph Reef to Pickles Reef within a 242.4 square-kilometer area. USGS staff calculated changes in seafloor elevation from 2002 to 2016 using light detection and ranging (lidar)-derived data acquired by the USGS in...

The USGS Coral Reef Ecosystems Studies project (https://coastal.er.usgs.gov/crest/) provides science that helps resource managers tasked with the stewardship of coral reef resources. This data release contains data on coral-growth rates and time-series photographs taken of colonies of the elkhorn coral, Acropora palmata, grown at five sites on the Florida Keys reef tract from spring 2018...

The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted research to quantify bathymetric changes at Looe Key coral reef near Big Pine Key, Florida, within a 19.7 square-kilometer area following Hurricane Irma in September 2017. USGS staff used light detection and ranging (lidar)-derived data acquired by the National Oceanic and Atmospheric...

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)...

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida (USGS - SPCSMC), conducted a geophysical survey nearshore the Rockaway Peninsula, New York, during September and October 2019. During this study, multibeam bathymetry and acoustic backscatter data were collected aboard the R/V Sallenger (two separate survey efforts: Leg...

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...

The Subaerial Barrier Sediment Partitioning (SBSP) model is a framework to simulate the morphological development of an idealized barrier coast in the cross-shore domain. The model code, built in MATLAB, consists of two scripts which must reside within the same folder when executed. The first, SBSP_InputControl.m, contains the user-defined input variables to run the simulation. The...