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 2023.

This dataset includes surface underway, chemical, meteorological and physical data collected from NOAA Ship Henry B. Bigelow in the North Atlantic Ocean, US North East Coast in 2023.

This dataset contains water temperature, salinity, and other biochemical parameters taken by CTD and Niskin bottles from the research vessel Araon, cruise ARA11B, in the Bering, Chukchi Seas, and Arctic Ocean. This dataset is U.S. State Department MSR U2020-005 as part of the World Data Services for Oceanography. Data are in XLS format, cruise report is in PDF.

Multibeam and acoustic backscatter data collected from NOAA Ship Nancy Foster from 2022-03-14 to 2022-03-31. The majority of these data were collected using a Kongsberg EM710, with the most inshore portion collected using a Kongsberg EM2040. Bathymetry grids were created using Qimera, and corrected to Mean Lower Low Water (MLLW). Backscatter mosaics were created using Fledermaus Geocoder Toolbox (FMGT). Data were acquired and processed to meet IHO Order 1 specifications. Survey depths vary from 10m to over 1800m. EM710 data are available at 8m, 16m and 32m resolution.

This dataset contains the trajectory profile data from glider ru30 from one seasonal deployment (2021-05-03 to 2021-05-27) to investigate carbonate chemistry and monitor ocean acidification seasonally in the Mid-Atlantic Bight. The glider used for the automated observation includes an integrated deep rated version of the Ion Sensitive Field Effect Transistor (ISFET)-based pH sensor.

This dataset contains continuous monthly maps of sea surface partial pressure of CO2 (pCO2) in the coastal ocean from 1982 to 2020. This product is an updated version of the coastal product of Laruelle et al. (2017) and has been created using a 2-step Self Organizing Maps (SOM) and Feed Forward Network (FFN) method and uses ~ 18 million direct observations from the latest release of the Surface Ocean CO2 database (SOCATv2022, Bakker et al., 2014, 2022).

This dataset consists of the surface underway measurements of mole fraction of CO2 in the equilibrator headspace (dry) at equilibrator temperature (ppm), mole fraction of CO2 measured in dry outside air (ppm), mole fraction of CO2 in outside air associated with each water analysis.

This dataset includes surface underway, chemical, meteorological and physical data collected from R/V Investigator in the Southern Ocean, South Pacific Ocean in 2023. These data include partial pressure (or fugacity) of carbon dioxide (pCO2) in water and air, sea surface temperature, sea surface salinity, barometric pressure, wind direction and wind speed. The instruments used to collect these data include barometric pressure sensor and carbon dioxide (CO2) gas analyzer.

This dataset contains results of visual assessment of different whales, including sperm, sei, blue, and others. Along with whale survey, the observations also included dolphin survey. They were taken from R/V Yushin Maru No. 3 during 2014 IWC-Pacific Ocean Whale and Ecosystem Research cruise (5-th annual IWC-POWER cruise). This cruise is U.S. State Department MSR U2014-001 as part of the World Data Service for Oceanography. Data are included in the cruise report in PDF format.

This dataset consists of the estimated decadal changes in the oceanic content of anthropogenic CO2 (∆Cant) between 1994, 2004 and 2014 as described in detail in Müller et al. (2023, in press, AGU Advances). These estimates have been derived from the GLODAPv2.2021 product (Lauvset et al., 2021) using the eMLR(C*) method developed by Clement & Gruber (2018). The datasets contain in addition to the standard estimate also 10 sensitivity cases, which are intended to assess the robustness of the standard estimates to different changes in the estimation procedure.