This dataset includes surface underway, chemical, meteorological and physical data collected from MN Colibri Ships of Opportunity (SOOP) lines in the Mediterranean Sea and North Atlantic Ocean from 2022-04-05 to 2022-11-17. These data include barometric pressure, partial pressure of carbon dioxide - atmosphere, partial pressure of carbon dioxide - water, sea surface salinity and temperature. The instruments used to collect these data include Carbon dioxide (CO2) gas analyzer.

This dataset contains data collected from the National Oceanic and Atmospheric Administration Ocean Acidification Program cruise on NOAA Ship Ronald H. Brown from 2021-06-13 to 2021-07-26. 133 stations were occupied on 17 transect lines from Queen Charlotte Sound, Canada to southern California USA. The cruise was designed to obtain a synoptic snapshot of key carbon, physical, and other biogeochemical parameters as they relate to ocean acidification (OA) in coastal waters and large estuaries of the northeast Pacific.

This dataset includes surface underway measurements of mole fraction of CO2 in the equilibrator headspace (dry) at equilibrator temperature, mole fraction of CO2 measured in dry outside air, barometric pressure in the equilibrator headspace, barometric pressure, corrected to sea level, water temperature in equilibrator, sea surface temperature, sea surface salinity, fugacity of CO2 in sea water at SST and 100% humidity, and difference between sea water fCO2 and interpolated air fCO2 measured during the NOAA Ship Gordon Gunter cruises in the Gulf of Mexico and North Atlantic Ocean in 2022.

This dataset contains the discrete, profile h data collected near the UNH/PMEL CO2 Buoy, located off the coast of New Hampshire in 2ydrographic and chemical data collected during the R/V Gulf Challenger cruise (EXPOCODE 33GC20210114) near the UNH/PMEL CO2 Buoy, located off the coast of New Hampshire, U.S. in the Gulf of Maine from 2021-01-14 to 2021-12-15. Additionally, an underway pCO2 measurement system was operated on these cruises, and surface underway pCO2 data are included in this archival package.

The benthic cover data described here were generated from the quantitative analysis of photoquadrat benthic images using CoralNet image analysis software, whereby random points are projected on each image and the benthic elements falling directly underneath each point are identified. The images were collected at 18 stratified randomly selected sites in Vatia Bay in 2015 during belt transect surveys of coral demography by the Ecosystem Sciences Division (ESD) of the NOAA Pacific Islands Fisheries Science Center (PIFSC).

NOAA Great Lakes Environmental Research Laboratory (GLERL) samples and studies the ecosystem of the lower food web of the Laurentian Great Lakes. This collection contains zooplankton biomass and density data at 21 stations and 4 transects during the open water season in Lake Erie in 2005 and 2007. Zooplankton density is given in the number of organisms per cubic meter and biomass is given in milligrams per cubic meter. The file format included in this data package is .csv.

Changes in ocean conditions such as chemical and thermal shifts are habitat pressures on marine organisms. As the basis of the marine food web, microorganisms such as bacteria and phytoplankton are responsible for important biogeochemical processes, such as nutrient cycling, and the primary production. They are also part of the environment surrounding aquatic organisms such as marine mammals, and serve as a source of both beneficial and harmful microbes associated with larger organisms.

This dataset includes partial pressure (or fugacity) of carbon dioxide, water temperature, salinity and other variables collected from Submersible Autonomous Moored Instrument for CO2 (SAMI-CO2) deployed in the Labrador Sea, from 2004-06-12 to 2004-08-25.

This dataset contains oceanographic data collected from NOAA Ship OKEANOS EXPLORER in the North Atlantic Ocean from 2022-08-06 to 2022-09-02.

This dataset contains monthly gridded pCO2 and air-sea CO2 fluxes from 1993-2018. The pCO2 data are gap-filled from the SOCAT database using the method of Landschützer (2013), but using additional winter pCO2 'pseudo observations' constructed using the method of Mackay and Watson (2021). The air-sea fluxes are constructed from the pCO2 product using a gas transfer parameterisation.