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log in [Discrete Carbonate Data] -  (Drivers of ocean acidification in a temperate urbanized estuary undergoing nutrient loading reductions) This dataset contains discrete carbonate data collected as part of the study described below. See the \"Related Publications\" sections for more datasets from this study.\n\nStudy description:\n\nThe increase in atmospheric carbon dioxide (CO2) over the last 200 years has largely been mitigated by the ocean's function as a carbon sink. However, this continuous absorption of CO2 by seawater triggers ocean acidification (OA), a process in which water becomes more acidic and more depleted in carbonate ions that are essential for calcifiers. OA is well-studied in open ocean environments; however, understanding the unique manifestation of OA in coastal ecosystems presents myriad challenges due to considerable natural variability resulting from concurrent and sometimes opposing coastal processes--e.g. eutrophication, changing hydrological conditions, heterogeneous biological activity, and complex water mass mixing. This study analyzed high temporal resolution pH data collected during 2022 and 2023 from Narragansett Bay, RI--a mid-sized, urban estuary that since 2005 has undergone a 50% reduction in nitrogen loading\\textemdash with weekly, discrete bottle samples to verify sensor data. We used autonomous data for pH, temperature, salinity, and dissolved oxygen from 4 sensors in Narragansett Bay. The autononous data spanned over a year from 2022 to mid-2023 and had temporal resolutions between 10 and 15 minutes. The data have been subjected to QA/QC protocols, such that all pH measurements are final and quality controlled. As well, pH values normalized to 15°C (using PyCO2SYS) are included. All pH values are in total scale.\n\nAdditionally, data from discrete samples have been provided. Discrete samples were taken weekly at the Narragansett Bay Long Term Phytoplankton Time Series site and monthly from Greenwich Bay, collocated with 2 of the sensors. Discrete data were analyzed in lab for dissolved inorganic carbon and total alkalinity, and include in situ temperature and salinity.\n\ncdm_data_type = Other\nVARIABLES:\nSample (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLocation (unitless)\n... (10 more variables)\n BCO-DMO bcodmo_dataset_961940_v1
log in [High-Frequency CO2-system observations from a moored sensor in the York River] -  (Collaborative Research: Multiple Stressors in the Estuarine Environment: What drives changes in the Carbon Dioxide system?) These are CO2-system data from a moored sensor in the York River, a tributary of the Chesapeake Bay. Temperature, salinity and pH were acquired hourly over two deployments lasting several months. Sensor data were then averaged to 24-hour resolution. Data were calibrated with discrete dissolved inorganic carbon (TCO2) and alkalinity samples analyzed at the Virginia Institute of Marine Science, following standard procedures. The pH sensor data were then combined with salinity data, and a relationship between alkalinity and salinity, to compute the remaining CO2-system parameters (TCO2, CO2 partial pressure (pCO2), and saturation state of aragonite. There is one file for each deployment (D1, and D2); the data are in a comma-separated (csv) format. Hourly measured temperature, salinity, and pH are given, as well as derived alkalinity, TCO2, pCO2, and saturation state of aragonite are included. Units are in the first row of each file.\n\ncdm_data_type = Other\nVARIABLES:\nDate_Matlab (unitless)\ntime (Datetime, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nTemp_degC (degrees Celsius (°C))\nSalinity (unitless)\npH_total (unitless)\nalkalinity_umol_kg (micromole per Kilogram (umol/kg))\nTCO2_umol_kg (micromole per Kilogram (umol/kg))\npCO2_uatm (microatmospheres (uatm))\nWar (unitless)\nDeployment (unitless)\n BCO-DMO bcodmo_dataset_890566_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925598_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925598_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_925598_v1/ public [Incubation data for Mytilus californianus calcification] - Incubation data for Mytilus californianus calcification from January to April 2022 (OA decoupling project) (Invertebrate calcification and behavior in seawater of decoupled carbonate chemistry) Calcification is vital to marine organisms that produce calcium carbonate shells and skeletons. However, how calcification is impacted by ongoing environmental changes, including ocean acidification, remains incompletely understood due to complex relationships among the carbonate system variables hypothesized to drive calcification. \n\nHere, we experimentally decouple these drivers in an exploration of shell formation in adult marine mussels, Mytilus californianus. In contrast to models that focus on single parameters like calcium carbonate saturation state, our results implicate two independent factors, bicarbonate concentration and seawater pH, in governing calcification. While qualitatively similar to ideas embodied in the related substrate-inhibitor ratio (bicarbonate divided by hydrogen ion concentration), our data highlight that merging bicarbonate ion and hydrogen ion concentrations into a simple quotient obscures important features of calcification. Considering a dual-parameter framework improves mechanistic understanding of how calcifiers interact with complex and changing chemical conditions.\n\ncdm_data_type = Other\nVARIABLES:\nspecies (unitless)\nAphiaID (unitless)\nLSID (unitless)\nmodule (unitless)\ndate_local (unitless)\nstart_datetime_local (unitless)\nISO_Start_DateTime_UTC (unitless)\nduration (hours)\nsalinity (PSU)\ntemperature (degrees Celcius (c))\ncalcification (umol hr^-1 g^-0.71592)\ntissue_mass (grams (g))\nshell_mass (grams (g))\nwet_mass (grams (g))\n... (24 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_925598_v1/index.htmlTable https://www.bco-dmo.org/dataset/925598 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_925598_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_925598_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_925598_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_659109.subset https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_659109 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_659109.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_659109/ public [Lophelia pertusa experiments: calcification and pH] - Net calcification of L. pertusa specimens exposed to different pH treatments collected on R/V Ronald Brown in Florida from October to November 2010 (Lophelia OA project) (Physiological and genetic responses of the deep-water coral, Lophelia pertusa, to ongoing ocean acidification in the Gulf of Mexico) Net calcification of L. pertusa specimens exposed to different pH treatments collected on R/V Ronald Brown in Florida from October to November 2010 (Lophelia OA project)\n\ncdm_data_type = Other\nVARIABLES:\npH_treatment (P H Treatment, unitless)\ngroup (unitless)\nindividual (unitless)\ntemperature (celsius)\nsalinity (Sea Water Practical Salinity, PPT)\nTA (micromoles per kilogram (umol/kg -1))\npH_total (P H Total, unitless)\nomega_Ar (unitless)\ndry_weight_start (grams)\ndry_weight_end (grams)\nnet_calcification (percent per day (%/d -1))\npercent_survivorship (percent)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_659109/index.htmlTable https://www.bco-dmo.org/dataset/659109 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_659109.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_659109&showErrors=false&email= BCO-DMO bcodmo_dataset_659109

 
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