This dataset contains oceanographic data, which were collected from 25 gliders in the Atlantic Ocean, Pacific Ocean, Lake Michigan and other locations. Data include 24721 temperature profiles, 24718 salinity profiles, hydrostatic pressure, current speed, current direction, and other measurements. Data were collected by 10 institutions in support of the Integrated Ocean Observing System (IOOS) Program. Data were collected from 2012-10-06 to 2015-09-17.

This study utilized ROV photograph transects to quantify benthic habitat and coral communities among the five habitat types (algal nodule, coralline algal reefs, deep reefs and soft bottom) identified in the Flower Garden Banks National Marine Sanctuary (FGBNMS). ROV surveys were conducted in the mid- and lower mesophotic zone of the Sanctuary (17-150 m) on both the East Bank and the West Bank.

This dataset includes discrete profile measurements of dissolved inorganic carbon (DIC), total alkalinity, pH on total scale, temperature, salinity, oxygen and nutrients collected during the R/V Keifu Maru II cruise KS12-09 (EXPOCODE 49UF20121210) in the North Pacific Ocean from 2012-12-10 to 2012-12-21.

This dataset includes discrete profile measurements of dissolved inorganic carbon (DIC), total alkalinity, pH on total scale, temperature, salinity, oxygen and nutrients collected during the R/V Ryofu Maru III cruise RF13-03 (EXPOCODE 49UP20130409) in the North Pacific Ocean from 2013-04-09 to 2013-04-20.

This dataset contains the surface discrete measurements of dissolved inorganic carbon, total alkalinity, pH on total scale and nutrients during the R/V F. G. Walton Smith cruise WS18120 (EXPOCODE 33WA20180430) in the west coast of Florida, Gulf of Mexico from 2018-04-30 to 2018-05-03. Increasing amounts of atmospheric carbon dioxide from human industrial activities are causing changes in global ocean carbon chemistry resulting in a reduction in pH, a process termed ocean acidification.

These data are benthic study GIS shapefiles (.shp, .shx, .prj) with associated .dbf attribute tables and specific Federal Geographic Data Committee metadata. A generalized browse graphic was generated at the NODC and included with these data.

We aerially surveyed leopard seals of known body size and mass to test the precision and accuracy of photogrammetry from a small Unmanned Aerial System (UAS). Flights were conducted in January and February of 2013 and 2014 and 50 photogrammetric samples were obtained from 15 unrestrained seals. Photogrammetric measurements from a single, vertical image obtained using UAS provide a noninvasive approach for estimating the mass and body condition of pinnipeds that may be widely applicable.

The data within this data file were produced by using bathymetric surveys and creating difference maps out of those surveys. Data were collected using an EM710 multibeam sonar with a vertical resolution of 0.2% of water depth, and a horizontal resolution of 3% of water depth. The sedimentologically active prodelta region was surveyed every weekday, and the distal delta region was surveyed every fortnight. The very shallow water region (HTML Markup Was Removed

This dataset contains salt marsh productivity projections under different sea level rise scenarios for the northern Gulf of Mexico (Florida panhandle, Alabama, and Mississippi) using a coupled hydrodynamic-marsh model called Hydro-MEM (Alizad et al. 2016a and 2016b). The modeled outputs were derived through integrated modeling of tidal hydrodynamics (ADCIRC) and marsh productivity (Marsh Equilibrium Model, or MEM) that incorporates dynamic feedbacks among physical and biological processes.

This dataset contains simulated storm surge results for the northern Gulf of Mexico (Mississippi, Alabama, and the Florida panhandle) using a high-resolution SWAN+ADCIRC model (Bilskie, 2016b). The modeling approach incorporates dynamic processes including salt marsh evolution, shoreline and dune height change, land use land cover, as well as sea level rise, for the year 2100. This modeling effort permits more robust and realistic results than using a static, or ‘bathtub,’ approach (Passeri et al., 2015).