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| griddap | Subset | tabledap | Make A Graph | wms | files | Accessible | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
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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 | [Incubation Data] - Coral physiological and biological data collected during acute exposures in static incubation chambers in Hawaii from June 2023 to January 2025 (Collaborative Research: Reevaluating calcification response to changes in seawater chemistry by testing the Proton Flux Hypothesis and the Coral Metabolism Model) | This dataset contains carbonate chemistry, physiological response, and incubation measurements from controlled static incubations of two Hawaiian coral species, Montipora capitata (branching and plating morphologies, urn:lsid:marinespecies.org:taxname:287697) and Pocillopora acuta (urn:lsid:marinespecies.org:taxname:759099). Corals were exposed to a series of experimental seawater chemistry treatments designed to independently manipulate proton concentration and carbonate ion availability through adjustments to total alkalinity and dissolved inorganic carbon. Treatments spanned ambient conditions as well as elevated and reduced total alkalinity, elevated and reduced pH, and combinations of altered pH and alkalinity. For each treatment, seawater parameters were measured, including temperature, salinity, dissolved oxygen, pH on the total scale, total alkalinity, bicarbonate, carbonate ion concentration, pCO2, dissolved inorganic carbon, and aragonite saturation state. Coral incubations were conducted under static conditions to quantify changes in carbonate chemistry associated with coral metabolic activity and to assess species- and morphology-specific calcification responses across distinct carbonate system states. This dataset supports the evaluation of the Proton Flux Hypothesis and Coral Metabolism Model by providing detailed carbonate chemistry conditions and coral responses across a spectrum of experimentally generated seawater states.\n\ncdm_data_type = Other\nVARIABLES:\ndate (unitless)\nspecies (unitless)\ntreatment (unitless)\ncondition (unitless)\ngenotype (unitless)\ntime_elapsed (Time, hours)\ntemp (degrees Celsius (degC))\ndo_mg_l (milligrams per liter (mg/L))\nsal (parts per thousand (ppt))\nph_nbs (NBS scale)\nph_mv (millivolts (mV))\nbwt (grams (g))\n... (7 more variables)\n | BCO-DMO | bcodmo_dataset_995172_v1 | ||||||||||||
| log in | [Test Dataset] - Test dataset created for testing and troubleshooting purposes (BCO-DMO: Accelerating Scientific Discovery through Adaptive Data Management) | Raw data and assembled scaffolds for the Atlantic silverside genome\n\n\nTest text: Ipsum lorep test text\n\nAnother paragraph with stuff\n\nSome italics here\n\ncdm_data_type = Other\nVARIABLES:\nSample (unitless)\ntime (Datetime, seconds since 1970-01-01T00:00:00Z)\nLocation (unitless)\ndepth (Depth_category, m)\nSalinity (PSU)\nIn_Situ_Temperature (degrees Celsius)\nDIC (micromoles per kilogram (umol/kg))\nTA (micromoles per kilogram (umol/kg))\npH_Total (total scale)\npH_NBS (NBS scale)\npH_at_12pt5C (total scale)\n | BCO-DMO | bcodmo_dataset_885287_v1 |