This dataset contains the seawater chemistry monthly means with standard deviations measured using water samples collected at the Mukilteo Research Station located in the Puget Sound, WA from 2018-08-26 to 2019-07-11. Water temperature (°C) is from the average of all 4 Durafet pH sensors deployed in the experimental tanks. Salinity data are from periodic measurements taken of all 6 experimental tanks use a hand-held Orion salinity sensor. The ambient and high-CO2 pH values are spectrophotometric pH averages from all treatment tanks. Alkalinity was calculated from the salinity values using the functional relationship in (Trigg et al., 2019). The pCO2 and calcite saturation state values were calculated using the SeaCarb R package (Gattuso et al., 2021) with the spectrophotometric pH and calculated alkalinity values as carbonate system parameter inputs. No spectrophotometric pH or Orion salinity data were recorded for January because a U.S. Government shutdown prevented collection of these data. However, automated pH and salinity sensors operating in the experimental tanks during January indicate that interpolation by averaged data from December and February, is a reasonable approximation.

Isotopic analyses of authigenic carbonates and methanotrophic deep-sea mussels, Bathymodiolus sp., was performed on samples collected from seep fields in the Baltimore and Norfolk Canyons on the north Atlantic margin. Samples were collected using remotely operated underwater vehicles (ROVs) during three different research cruises in 2012, 2013, and 2015. Analyses were performed by several different laboratories, and the results are presented in spreadsheet format.

This dataset contains bottle data for dissolved inorganic carbon (DIC) and total alkalinity (TA) for the period June 2008 through January 2016 (CRIMP-2 data to March 2016). The bottle samples were collected approximately every two weeks, weather permitting, from approximately 20 cm below the sea surface at the four buoys comprising our network, with the exception of the Kaneohe Buoy, which was first deployed only in 2011. Commonly challenging weather and sea state conditions at the Kaneohe buoy have rendered the collection of bottle-validation samples more difficult, hence fewer data are available for this station. Collection of samples at the CRIMP-2, Ala Wai, and Kilo Nalu buoys, however, has been more readily achievable and proportionally more data are available for these buoys.

This dataset contains discrete water sample and physiological data from a laboratory experiment that took place July 26 - September 12, 2019 to observe how ocean acidification might impact the development of juvenile eastern oysters in the Chesapeake Bay within the Mid-Atlantic region. Oysters were raised in three pH treatments, with three replicate tanks each, representing average (7.8), low (7.4), and extreme low (7.0) pH conditions within the mesohaline region of the Chesapeake Bay. Carbonate chemistry (pH (total) and total alkalinity) and water quality (temperature, salinity, dissolved oxygen) conditions of each tank were monitored three times per week, while physiological conditions were measured at the start of the experiment when oysters were 15 days post fertilization (dpf) and then at 18, 26, 35, and 70 dpf.

This dataset contains bottle data for dissolved inorganic carbon (DIC) and total alkalinity (TA) for the period January 2016 through December 2023. The bottle samples were collected approximately every two weeks, weather permitting, from approximately 20 cm below the sea surface at the four buoys comprising our network. Commonly challenging weather and sea state conditions at the Kaneohe buoy have rendered the collection of bottle-validation samples more difficult, hence fewer data are available for this station. Collection of samples at the CRIMP-2, Ala Wai, and Kilo Nalu buoys, however, has been more readily achievable and proportionally more data are available for these buoys.

This dataset contains bottle data for dissolved inorganic carbon (DIC) and total alkalinity (TA) for the period January 2016 through December 2022. The bottle samples were collected approximately every two weeks, weather permitting, from approximately 20 cm below the sea surface at the four buoys comprising our network. Commonly challenging weather and sea state conditions at the Kaneohe buoy have rendered the collection of bottle-validation samples more difficult, hence fewer data are available for this station. Collection of samples at the CRIMP-2, Ala Wai, and Kilo Nalu buoys, however, has been more readily achievable and proportionally more data are available for these buoys.

High-resolution (15-minute frequency) monitoring of pH, dissolved oxygen, salinity, temperature, depth, and chlorophyll was conducted from July 15-October 1, 2015 in a shallow, subtidal seagrass bed in Puget Sound, WA, USA. Grab samples for instrument validation and carbonate chemistry analysis were periodically taken next to the in-situ instrumentation. This dataset is associated with the following publication: Pacella, S., C. Brown, G. Waldbusser, R. Labiosa, and B. Hales. Seagrass habitat metabolism increases short-term extremes and long-term offset of CO2 under future ocean acidification. PNAS (PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES). National Academy of Sciences, WASHINGTON, DC, USA, 115(15): 3870-3875, (2018).

This dataset contains results (e.g., mean survival, growth, and developmental rate etc.) from laboratory-based trials involving early-life stage (larval and juvenile) bivalve shellfish exposed to: 1) diurnal fluctuations in carbonate chemistry and dissolved oxygen; (2) chronic exposures to multiple, estuarine stressors (e.g., low pH, low DO, and thermal stress); and (3) transgenerational acidification. Results from diurnal experiments indicated that exposure to ideal conditions (e.g., pH = 7.9; DO > 7 mg/L) during the daytime did not offset the harmful impacts of acidification and hypoxia experienced by both larval- and juvenile-staged bivalve shellfish during non-daylight hours. In addition, laboratory studies involving chronic (i.e., sustained conditions) exposures to several estuarine stressors revealed that the combined and interactive impacts of multiple, co-occurring stressors can be more detrimental than singular exposures to individual stressors, outcomes that cannot be predicted based upon laboratory investigations using individual, separate exposures. Finally, unlike previous studies with other bivalve species, parental exposure environmentally relevant levels of coastal acidification does not mitigate the harmful effects manifested among next-generation offspring exposed to similar levels of acidification and, in fact, rendered offspring more sensitive to low pH and multiple, additional stressors.