Data

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.

In summer 2018, the U.S. Geological Survey partnered with the U.S Department of Energy and the Bureau of Ocean Energy Management to conduct the Mid-Atlantic Resources Imaging Experiment (MATRIX) as part of the U.S. Geological Survey Gas Hydrates Project. The field program objectives were to acquire high-resolution 2-dimensional multichannel seismic-reflection and split-beam echosounder data along

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

Using global climate model projections of sea-surface temperature at coral reef sites, we modeled the effects of depth and exposure to semidiurnal temperature fluctuations to examine how these effects may alter the projected year of annual severe bleaching for coral reef sites globally. Here we present the first global maps of the effects these processes have on bleaching projections for three IPC

Various water column variables, including salinity, dissolved inorganic nutrients, pH, total alkalinity, dissolved inorganic carbon, rwere measured in samples collected using a Niskin-bottle rosette at selected depths from sites offshore of California and Oregon from October to November 2019 during NOAA cruise RL-19-05 on the R/V Reuben Lasker (USGS field activity 2019-672-FA). CTD (Conductivity T

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

Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), in three locations along the Lake Ontario shoreline in New York during July 2017. These data were collected to document and monitor effects of high lake levels, including shoreline erosion, inundation, and property damage in the vicinity

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

One goal of Korea?s second Ulleung Basin Gas Hydrate Expedition, UBGH2, is to examine geotechnical properties of the marine sediment associated with methane gas hydrate occurrences found offshore eastern Korea in the Ulleung Basin, East Sea. Methane gas hydrate is a naturally occurring crystalline solid that sequesters methane in individual molecular cages formed by a lattice of water molecules. O

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

This data release includes representative cluster profiles (RCPs) from a large (>24,000) selection of coral reef topobathymetric cross-shore profiles (Scott and others, 2020). We used statistics, machine learning, and numerical modelling to develop the set of RCPs, which can be used to accurately represent the shoreline hydrodynamics of a large variety of coral reef-lined coasts around the globe.

This data release includes the XBeach input data files used to evaluate the importance of explicitly modeling sea-swell waves for runup. This was examined using a 2D XBeach short wave-averaged (surfbeat, XB-SB) and a wave-resolving (non-hydrostatic, XB-NH) model of Roi-Namur Island on Kwajalein Atoll in the Republic of Marshall Islands. Results show that explicitly modelling the sea-swell componen