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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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_963736_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_963736_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_963736_v1/ | public | [Carbonate chemistry for OAE North Atlantic experiments] - Carbonate chemistry data for shipboard ocean alkalinity enhancement (OAE) experiments in the North Atlantic on R/V Atlantic Explorer cruise AE2320 in September 2023 (OCE-PRF: Towards Quantifying Calcium Carbonate Sediment Dissolution During Marine Diagenesis) | To explore mineral formation due to alkalinity addition, we present results from shipboard experiments in which an aqueous solution of NaOH was added to unfiltered seawater collected from the surface ocean in the Sargasso Sea. Alkalinity addition ranged from 500 to 2000 micromoles per kilogram (µmol.kg-1) and the carbonate chemistry was monitored through time by measuring total alkalinity (TA) and dissolved inorganic carbon (DIC), which were used to calculate Ω. The amount of precipitate and its minerology were determined throughout the experiments. Mineral precipitation took place in all experiments over a timescale of hours to days. The dominant mineralogy of precipitate is aragonite with trace amounts of calcite and brucite. Aragonite crystallite size increases and its micro-strain decreases with time, consistent with Ostwald ripening. This dataset contains carbonate chemistry data that include TA and DIC measurements, precipitation rates from the shipboard experiments, and precipitation rates calculated in the same way (by changes in alkalinity through time) for the study of Moras et al. (2022) and precipitation rate data from Mucci et al. (1989).\n\ncdm_data_type = Other\nVARIABLES:\nExperiment_name (unitless)\nTA_addition (micromoles (umol))\nStart_day (unitless)\nStart_time (unitless)\nEnd_day (unitless)\nEnd_time (unitless)\nDuration (hours (h))\nmeasured_TA (micromoles per kilogram (umol/kg))\nTA_std (micromoles per kilogram (umol/kg))\nmeasured_DIC (micromoles per kilogram (umol/kg))\nDIC_std (micromoles per kilogram (umol/kg))\ncalculated_DIC (micromoles per kilogram (umol/kg))\ncalculated_CaCO3_precipitate (milligrams per kilogram (mg/kg))\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_963736_v1/index.htmlTable | https://osprey.bco-dmo.org/dataset/963736
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_963736_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_963736_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_963736_v1 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906949_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906949_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_906949_v1/ | public | [P. australis physiological data (Cluster experiments)] - Cluster (combined temperature, nutrient concentration, and CO2) results from laboratory experiments with Pseudo-nitzschia australis conducted from 2021 to 2022 (MCA: Developing transcriptomics as a tool to investigate toxic diatom responses to ocean heatwave and upwelling events) | These raw data contain physiological data collected from laboratory experiments with Pseudo-nitzschia australis. This dataset includes results of cluster experiments of combined temperature, nutrient concentration, and CO2 in order to reflect upwelling, heatwaves, and extreme heatwaves in the natural environment. \n\nSee \"Related Datasets\" for other physiological measurements published as part of these experiments. See the results publication Kelley et al. (2003) for more detail. The following description provides details for all related physiological measurement datasets.\n\nThese physiological measurements include: growth rates, domoic acid quotas, domoic acid production rates, net primary productivity, and nitrogen use efficiencies. Also included are pH and DIC measurement used to characterize the carbonate system. \n\nThese data revealed novel insights into P. australis bloom dynamics and may be useful to harmful algal bloom modelers and were collected and analyzed by Kyla Kelly, Amjad Mansour, Chen Liang, Andrew Kim, Lily Mancini, Dr. Matthew Bertin, Dr. Bethany Jenkins, Dr. David Hutchins, and Dr. Fei-Xue Fu.\n\ncdm_data_type = Other\nVARIABLES:\nTreatment (unitless)\nReplicate (unitless)\nGrowth_rate (per day (d-1))\nParticulate_DA_perC (nanograms of domoic acid per micromole of carbon (ng DA/umol C))\nParticulate_DA_perCell (nanograms of domoic acid per cell (ng DA/cell))\nDA_production_rate (nanograms of domoic acid per micromole of carbon per day (ng DA/umol C/day))\nNet_primary_productivity (per hour (h-1))\nNitrogen_use_efficiency (micromoles of carbon per micromoles of nitrogen per hour (umol C/umol N/hr))\nMeasured_DIC (miromoles per kilogram (umol/kg))\nMeasured_pH (total pH scale)\nCalculated_bulk_alkalinity (miromoles per kilogram (umol/kg))\nCalculated_pCO2 (microatmospheres (uatm))\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_906949_v1/index.htmlTable | https://www.bco-dmo.org/dataset/906949
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_906949_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_906949_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_906949_v1 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906938_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906938_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_906938_v1/ | public | [P. australis physiological data (CO2 experiments)] - CO2 experiment physiology and carbonate chemistry from laboratory experiments with Pseudo-nitzschia australis conducted from 2021 to 2022 (MCA: Developing transcriptomics as a tool to investigate toxic diatom responses to ocean heatwave and upwelling events) | These raw data contain physiological data collected from laboratory experiments with Pseudo-nitzschia australis. This dataset includes replicate data for CO2 experiment physiology and carbonate chemistry.\n\nSee \"Related Datasets\" for other physiological measurements published as part of these experiments. See the results publication Kelley et al. (2003) for more detail. The following description provides details for all related physiological measurement datasets.\n\nThese physiological measurements include: growth rates, domoic acid quotas, domoic acid production rates, net primary productivity, and nitrogen use efficiencies. Also included are pH and DIC measurement used to characterize the carbonate system. \n\nThese data revealed novel insights into P. australis bloom dynamics and may be useful to harmful algal bloom modelers and were collected and analyzed by Kyla Kelly, Amjad Mansour, Chen Liang, Andrew Kim, Lily Mancini, Dr. Matthew Bertin, Dr. Bethany Jenkins, Dr. David Hutchins, and Dr. Fei-Xue Fu.\n\ncdm_data_type = Other\nVARIABLES:\nTreatment (unitless)\nReplicate (unitless)\nGrowth_rate (per day (d-1))\nParticulate_DA (nanograms of domoic acid per micromole of carbon (ng DA/umol C))\nDA_production_rate (nanograms of domoic acid per micromole of carbon per day (ng DA/umol C/day))\nMeasured_DIC (miromoles per kilogram (umol/kg))\nMeasured_pH (total pH scale)\nCalculated_bulk_alkalinity (miromoles per kilogram (umol/kg))\nCalculated_pCO2 (microatmospheres (uatm))\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_906938_v1/index.htmlTable | https://www.bco-dmo.org/dataset/906938
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_906938_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_906938_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_906938_v1 |