Data
The Coastal and Marine Hazards and Resources Program is an innovator in mapping, field studies, data collection, and laboratory analyses, whose expertise is sought by other governmental agencies, educational institutions, and private companies. In turn, we seek collaborative research and development opportunities with similar groups.
Explore the data published by our scientists.
Coastal Single-beam Bathymetry Data Collected in 2022 off Seven Mile Island, New Jersey
Gulf of Mexico Sediment Trap Foraminifera Data
The U.S. Geological Survey (USGS) deployed a sediment trap (McLane PARFLUX 78H) mooring in the northern Gulf of Mexico (27.5 degrees N and 90.3 degrees W, water depth 1150 meters [m]) in January 2008 to collect seasonal time-series data on the flux and assemblage composition of planktic foraminifers. The trap was positioned in the water column at a depth of 700 m on a mooring cable to enable the c
USGS Madeira Beach, Florida CoastCam Imagery and Calibration Data
A digital video camera was installed at Madeira Beach, Florida (FL) and faced west along the beach. Every hour during daylight hours, daily from 2017 to 2022, the camera collected raw video and produced snapshots and time-averaged image products. This data release includes the necessary intrinsic orientation (IO) and extrinsic orientation (EO) calibration data to utilize imagery to make quantitati
Modeling the Effects of Large-scale Interior Headland Restoration on Tidal Hydrodynamics and Salinity Transport in an Open Coast, Marine-dominant Estuary: Model Input and Results
The effects of large-scale interior headland restoration on tidal hydrodynamics and salinity transport in the Grand Bay, Alabama (AL) estuary was assessed using a two-dimensional Discontinous-Galerkin Shallow Water Equations (DG-SWEM) model. Three restoration alternatives were simulated: 1) no action (herein referred to as na); 2) reconstruction of the Grand Batture Island (herein referred to as G
Prokaryotic Communities Shed by Diseased and Healthy Coral (Diploria labyrinthiformis, Pseudodiploria strigosa, Montastraea cavernosa, Colpophyllia natans, and Orbicella faveolata) into Filtered Seawater Mesocosms - Raw and Processed Data
The files in this data release are those referenced in the journal article by Evans and others (2023) entitled 'Investigating microbial size classes associated with the transmission of stony coral tissue loss disease (SCTLD)'. The files contain an amplicon sequence variant (ASV) table and the raw 16S rRNA gene amplicon files from fifty-six 0.22-micrometer (µm) pore size filters, as well as six rea