Ensemble Median Global sea surface temperature (EMSST) is a daily SST dataset constructed by Nagoya University from an ensemble of 18 global SST products for the period from January 1, 1988 to February 28, 2019. The data set includes SST calculated as an ensemble median on each 0.25 degree by 0.25 degree grids over global ice-free oceans. The data set also includes an ensemble mean, standard deviation, minimum, maximum, number and kind of source products used.

This dataset contains near-surface measurements of oceanographic, meteorological and physical data collected in situ from two autonomous surface vehicles Saildrone 126 and 128 in the Bering Sea in 2015 and 2016. The 2015 experiment took place between 2015-04-26 and 2015-07-28 and the 2016 experiment took place between 2016-05-23 and 2016-09-03. Saildrone is an unmanned autonomous sailboat powered by wind and solar energy.

This dataset contains water temperature profiles collected from XBTs aboard the USCGC Sycamore, USCGC Hickory, and SR Baytown in the Gulf of Alaska and North Pacific Ocean from 2006-01-09 to 2006-12-14. These data were collected by Scripps Institute of Oceanography (SIO), as part of the JCOMM Ship of Opportunity Programme and SIO High Resolution XBT/XCTD Network (line P38) and submitted by Lisa Lehmann of SIO as part of the Global Temperature and Salinity Profile Programme (GTSPP).

<unknown>

This dataset contains oceanographic water temperature profiles collected from XBTs aboard the platforms ANL Elaroo, Capitaine Quiros, HMB Endeavour, Josephine Maersk, L'Astrolabe, and Shengking in the Indian Ocean, South Pacific Ocean, Tasman Sea, and Coral Sea from 2018-02-01 to 2019-03-06. These data were collected by the Commonwealth Scientific and Industrial Research Organization (CSIRO) as part of the JCOMM Ship of Opportunity Programme and submitted by Rebecca Cowley of CSIRO as part of the Global Temperature and Salinity Profile Programme (GTSPP).

This time series dataset includes weekly and bi-weekly discrete seawater samples of pH and total alkalinity, dissolved inorganic carbon, phosphates and profile measurements of temperature and salinity from 2009 to 2024. These are used to track the dynamics and controls on local carbon chemistry at the southwest part of Puerto Rico in support of the ocean acidification and water quality research in regional coastal and near-shore zones.

This dataset contains water temperature, conductivity, and sound speed collected/calculated for the OPR-J317-KR-18 project under contract with NOAA. Sea Bird Electronics SBE19plus CTD sensor measurements of depth, temperature, and conductivity were used for speed of sound calculations through the water column. Casts were conducted at least once daily on board R/V C-Wolf and more often as needed. Dual CTDs were obtained periodically to ensure proper working order of sensors. Data are in ASCII (CNV) format.

This dataset contains water temperature, salinity, pressure, average wind speed and direction, maximum wind speed, air pressure, air temperature, chlorophyll-a concentration, oil concentration, water turbidity, water conductivity, oxygen solubility, dimethyl sulfide (DMS), thermal and multispectral images.

This dataset contains dissolved inorganic carbon, total alkalinity, pH on total scale, nutrients and other variables measured from profile discrete observations during NOAA Ship Gordon Gunter cruise GU1804 (EXPOCODE 33GG20180822) in the North Atlantic Ocean, Gulf of Maine, Georges Bank, and Mid-Atlantic Bight from 2018-08-22 to 2018-08-31. Increasing amounts of atmospheric carbon dioxide from human industrial activities are causing changes in global ocean carbon chemistry ultimately resulting in a reduction in pH, a process termed ocean acidification.

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 WS17282 (EXPOCODE 33WA20171009) in the west coast of Florida, Gulf of Mexico from 2017-10-09 to 2017-10-13. 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.