These data include field observations from Northern Gulf of Mexico research surveys, as well as hydrodynamic and water quality model data generated by the Coastal Generalized Ecosystem Model (CGEM) between 2003-2007.

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This dataset contains discrete measurements of water temperature, salinity, total dissolved inorganic carbon (DIC), total titration alkalinity (TA), pH on total scale, and calcium concentration. These data were collected between April 2014 and April 2018 in Lavaca-Matagorda, Guadalupe-San Antonio, Nueces-Corpus Christi estuaries along the northwestern Gulf of Mexico.

This dataset contains carbonate system data collected by scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center to investigate the effects of carbon cycling, coastal and ocean acidification in the Gulf of Mexico near the Tampa Bay estuary located in west central Florida, USA. These data were collected using an autonomous instrument called the Ocean Carbon System version 3 (OCSv3) deployed on the University of South Florida (USF), Coastal Ocean Monitoring and Prediction System (COMPS) Buoy C12. The OCSv3 consists of four sensors integrated into a Sea-Bird Scientific STOR-X submersible data logger including a Sea-Bird SeapHOx sensor for measurement of pH that incorporates a Sea-Bird SBE 37-SMP-ODO MicroCAT C-T-ODO (P) Recorder for measurement of conductivity (for calculation of salinity), temperature, depth, and dissolved oxygen; a Pro-Oceanus CO2-Pro CV CO2 sensor; and a Wetlabs Eco-PAR sensor for measurement of photosynthetically active radiation. The dataset is a time series of carbonate system parameters including: water temperature (Celsius, °C), pressure (decibar, dbar), salinity, pHT (pH on the total scale), carbon dioxide (parts per million, ppm), pressure from the CO2-Pro Infrared Gas Analyzer (IRGA) (millibars, mbar), dissolved oxygen (milligrams per liter, mg/L) and photosynthetically active radiation (microEinsteins). Each parameter was measured every hour for 24-hour time periods throughout the duration of deployment.

This dataset contains carbonate system data collected by scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center to investigate the effects of carbon cycling, coastal and ocean acidification in the Gulf of Mexico near the Tampa Bay estuary located in west central Florida, USA. These data were collected using an autonomous instrument called the Ocean Carbon System version 3 (OCSv3) deployed on the University of South Florida (USF), Coastal Ocean Monitoring and Prediction System (COMPS) Buoy C12. The OCSv3 consists of four sensors integrated into a Sea-Bird Scientific STOR-X submersible data logger including a Sea-Bird SeapHOx sensor for measurement of pH that incorporates a Sea-Bird SBE 37-SMP-ODO MicroCAT C-T-ODO (P) Recorder for measurement of conductivity (for calculation of salinity), temperature, depth, and dissolved oxygen; a Pro-Oceanus CO2-Pro CV CO2 sensor; and a Wetlabs Eco-PAR sensor for measurement of photosynthetically active radiation. The dataset is a time series of carbonate system parameters including: water temperature (Celsius, °C), pressure (decibar, dbar), salinity, pHT (pH on the total scale), carbon dioxide (parts per million, ppm), pressure from the CO2-Pro Infrared Gas Analyzer (IRGA) (millibars, mbar), dissolved oxygen (milligrams per liter, mg/L) and photosynthetically active radiation (microEinsteins). Each parameter was measured every hour for 24-hour time periods throughout the duration of deployment.

The physical and biogeochemical processes that control and maintain the hypoxic zone in the northern Gulf of Mexico are complex and their relative strengths are known to vary temporally and spatially at many scales. The MCH Project was funded by NOAA from 2003-2016 and consisted of an integrated observational and numerical modeling approach to better understand the interactions of the physical, biological, and geochemical processes and their variability across the entire Texas/Louisiana shelf. This information contributes to a comprehensive description of the mechanisms that control hypoxia in the northern Gulf of Mexico. Environmental and oceanographic observations were recorded on 31 process-oriented research cruises and resulted in more than 120 towed transects, ~5000 CTD casts, ~30000 water samples, and more than 50000 km of ship flow-through system data. The data represented in this submission account for 15 research cruises and is the second of two submissions to NCEI; access to first submission is Accession 0088164.

This dataset contains carbonate system data collected by scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center to investigate the effects of carbon cycling, coastal and ocean acidification on the Tampa Bay estuary located in west central Florida, USA. These data were collected using an autonomous instrument called the Ocean Carbon System version 2 (OCSv2) deployed on the seafloor in Tampa Bay. The OCSv2 consists of four sensors integrated into a Sea-Bird Scientific (Satlantic) STOR-X submersible data logger including a Satlantic SeapHOx sensor for measurement of pH that incorporates a Sea-Bird SBE 37-SMP-ODO MicroCAT C-T-ODO (P) Recorder for measurement of conductivity (for calculation of salinity), temperature, depth, and dissolved oxygen; a Pro-Oceanus CO2-Pro CV CO2 sensor; and a Wetlabs Eco-PAR sensor for measurement of photosynthetically active radiation. The dataset is a time series of carbonate system parameters including: water temperature (Celsius, °C), pressure (decibar, dbar), salinity, pHT (pH on the total scale), carbon dioxide (parts per million, ppm), pressure from the CO2-Pro Infrared Gas Analyzer (IRGA) (millibars, mbar), dissolved oxygen (milligrams per liter, mg/L) and photosynthetically active radiation (microEinsteins). Each parameter was measured every hour for 24-hour time periods throughout the duration of deployment.

This dataset contains carbonate system data collected by scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center to investigate the effects of carbon cycling, coastal and ocean acidification on the Tampa Bay estuary located in west central Florida, USA. These data were collected using an autonomous instrument called the Ocean Carbon System version 2 (OCSv2) deployed on the seafloor in Tampa Bay. The OCSv2 consists of four sensors integrated into a Sea-Bird Scientific (Satlantic) STOR-X submersible data logger including a Satlantic SeapHOx sensor for measurement of pH that incorporates a Sea-Bird SBE 37-SMP-ODO MicroCAT C-T-ODO (P) Recorder for measurement of conductivity (for calculation of salinity), temperature, depth, and dissolved oxygen; a Pro-Oceanus CO2-Pro CV CO2 sensor; and a Wetlabs Eco-PAR sensor for measurement of photosynthetically active radiation. The dataset is a time series of carbonate system parameters including: water temperature (Celsius, °C), pressure (decibar, dbar), salinity, pHT (pH on the total scale), carbon dioxide (parts per million, ppm), pressure from the CO2-Pro Infrared Gas Analyzer (IRGA) (millibars, mbar), dissolved oxygen (milligrams per liter, mg/L) and photosynthetically active radiation (microEinsteins). Each parameter was measured every hour for 24-hour time periods throughout the duration of deployment.

This dataset contains carbonate system data collected by scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center to investigate the effects of carbon cycling, coastal and ocean acidification on the Tampa Bay estuary located in west central Florida, USA. These data were collected using an autonomous instrument called the Ocean Carbon System version 2 (OCSv2) deployed on the seafloor in Tampa Bay. The OCSv2 consists of four sensors integrated into a Sea-Bird Scientific (Satlantic) STOR-X submersible data logger including a Satlantic SeapHOx sensor for measurement of pH that incorporates a Sea-Bird SBE 37-SMP-ODO MicroCAT C-T-ODO (P) Recorder for measurement of conductivity (for calculation of salinity), temperature, depth, and dissolved oxygen; a Pro-Oceanus CO2-Pro CV carbon dioxide (CO2) sensor; and a Wetlabs Eco-PAR sensor for measurement of photosynthetically active radiation. The dataset is a time series of carbonate system parameters including: water temperature (Celsius, °C), pressure (decibar, dbar), salinity, pHT (pH on the total scale), carbon dioxide (parts per million, ppm), pressure from the CO2-Pro Infrared Gas Analyzer (IRGA) (millibars, mbar), dissolved oxygen (milligrams per liter, mg/L) and photosynthetically active radiation (microEinsteins). Each parameter was measured every hour for 24-hour time periods throughout the duration of deployment.

This dataset contains carbonate system data collected by scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center to investigate the effects of carbon cycling, coastal and ocean acidification on the Tampa Bay estuary located in west central Florida, USA. These data were collected using an autonomous instrument called the Ocean Carbon System version 2 (OCSv2) deployed on the seafloor in Tampa Bay. The OCSv2 consists of four sensors integrated into a Sea-Bird Scientific (Satlantic) STOR-X submersible data logger including a Satlantic SeapHOx sensor for measurement of pH that incorporates a Sea-Bird SBE 37-SMP-ODO MicroCAT C-T-ODO (P) Recorder for measurement of conductivity (for calculation of salinity), temperature, depth, and dissolved oxygen; a Pro-Oceanus CO2-Pro CV CO2 sensor; and a Wetlabs Eco-PAR sensor for measurement of photosynthetically active radiation. The dataset is a time series of carbonate system parameters including: water temperature (Celsius, °C), pressure (decibar, dbar), salinity, pHT (pH on the total scale), carbon dioxide (parts per million, ppm), pressure from the CO2-Pro Infrared Gas Analyzer (IRGA) (millibars, mbar), dissolved oxygen (milligrams per liter, mg/L) and photosynthetically active radiation (microEinsteins). Each parameter was measured every hour for 24-hour time periods throughout the duration of deployment.