This dataset contains water temperature, salinity, and others taken by CTD, ADCP, and other instrumentation from research vessel icebreaker Xue Long in the North Pacific Ocean, Bering Sea, and Arctic Ocean. The 7th Chinese Arctic Research Expedition targets on the global climate change and the correlations of sea ice variation, as well as its effects on the environment and ecosystem in Arctic Ocean. The major studies are focused on physical oceanography, marine chemistry, marine geology and marine ecology.

Water temperature, salinity, and others taken by CTD, ADCP, and other instrumentation from research vessel icebreaker Xue Long in the North Pacific Ocean, Bering Sea, and Arctic Ocean. The 8th Chinese National Arctic Scientific Research Expedition (8th CHINARE) voyaged within the U. S. Exclusive Economic Zone from 20 to 25 September 2017, traversing the Bering and Chukchi Seas.

This dataset consists of sea surface underway measurements of partial pressure of carbon dioxide, temperature, salinity and barometric pressure during the Ship of Opportunity (SOOP) C/S Celebrity Flora cruise lines in the Atlantic Ocean, Caribbean Sea and Pacific Ocean from 2020-01-12 to 2020-01-26. In 2019, a CO2 instrument was installed aboard the new Celebrity Cruise ship, Flora, specifically designed for tours in the Galapagos Islands. The installation was completed during the Flora's inaugural cruise across the Atlantic in June.

This dataset contains mapped observation-based oceanic dissolved inorganic carbon (DIC), monthly climatology from January to December (based on observations between 2004 and 2017), from the Max-Planck-Institute for Meteorology (MOBO-DIC_MPIM). The SOM-FFN approach by Landschützer et al. (2013) was extended and applied to obtain time-varying gap-filled mapped fields of dissolved inorganic carbon (DIC) in the water column. In the SOM-FFN approach, the first step is to cluster the ocean into regions of similar physical and biogeochemical properties using self-organizing maps (SOM).

This set of five data tables (CSV) is a compilation of key datasets that characterize the number, types, and timing (e.g., time of day, day of the week, season) of boats observed at Gray’s Reef National Marine Sanctuary (GRNMS), located off the coast of Georgia, USA. No personally identifiable information about any visitors or their boats is included.

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Visually apparent damage to bulkheads, riprap revetments, and marshes with sills were recorded within one month of landfall of Hurricane Dorian in North Carolina in October and November 2019. Approximately 16 km of backbarrier shoreline on the Outer Banks were surveyed within the towns of Frisco and Hatteras Village on the southern end of Hatteras Island, NC and on Bogue Banks, NC. The dataset includes the type of shoreline, the length of shoreline, and the damage category (see Gittman et al. 2014 and Smith et al. 2017).

This dataset contains results of in-depth visual assessments of North Pacific sei, humpback, and gray whales collected from the research vessel Yushin-Maru No. 2 in the Bering Sea for the IWC Pacific Ocean Whale and Ecosystem Research, IWC-POWER, Program. Data are in PDF.

This dataset is U.S. State Department Marine Research Science U2018-002 submitted as part of the World Data Service for Oceanography.

This dataset contains sediment grain size, pH, element analysis, and others collected from the Chinese coastguard patrol vessel Hai Ce 3301 in the North Pacific Ocean. Study of bottom material at the south of Mariana Trench and surrounding area. The research objective of this voyage was to understand the paleo oceanographic sedimentary records of the region, and then to study the role of the region in the global climate change through the investigation of sediments and suspended particles in the southern Mariana Trench, the deepest sea area in the world.

The sand shoals (modeled) polygons represent the hypothesized distribution of sand shoals of the Gulf of Mexico and US Atlantic Coast based on seafloor characteristics and distance to shoreline variables. Defined by Rutecki et al.