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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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https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908572_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908572_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_908572_v1/ | public | [CDOM] - Chromophoric dissolved organic matter (CDOM) from two microcosm incubation experiments conducted under three light treatments using water originating from West Bay of the Neuse River Estuary, North Carolina USA in 2021 and 2022 (Bacteria as Biosensors of Carbon and Energy Flow in Marine Ecosystems: Quantitative Links Between Substrates, Transcripts, and Metabolism) | Chromophoric dissolved organic matter (CDOM) was collected for two microcosm incubation experiments. Sample water originated from West Bay of the Neuse River Estuary, North Carolina USA in 2021 and 2022. The microcosms were 60 liters, conducted in biological duplicates under three light treatment incubations: 12-hour light-dark cycle of photosynthetically active radiation (PAR), 12-hour light-dark cycle of UV-B radiation, or darkness. Samples were collected from the microcosms in duplicate every few days for over one month to examine how light and the resulting microbial activity altered the dissolved organic carbon (DOC) pool over time. Absorbance spectra of 0.2 micron filtered estuarine water was measured from 190 - 1100 nanometers (nm) on a Genesys 10S UV-Vis spectrophotometer for the calculation of absorbance coefficients, spectral slopes, and slope ratio which describe the organic matter complexity as it develops throughout the incubations.\n\ncdm_data_type = Other\nVARIABLES:\nExperiment_Name (unitless)\nStart_date (unitless)\nTreatment (unitless)\nIncubation_day (days)\nTank_ID (unitless)\nnm (nanometers (nm))\nabsp_coef (unitless)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_908572_v1/index.htmlTable | https://www.bco-dmo.org/dataset/908572![]() | https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_908572_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_908572_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_908572_v1 | |||||
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944277_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944277_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_944277_v1/ | public | [Dissolved Inorganic Nutrients] - Dissolved inorganic nutrients from two microcosm incubation experiments conducted on sample water collected from West Bay of the Neuse River Estuary, North Carolina USA in 2021 and 2022 (Bacteria as Biosensors of Carbon and Energy Flow in Marine Ecosystems: Quantitative Links Between Substrates, Transcripts, and Metabolism) | Dissolved inorganic nutrients were collected for two microcosm incubation experiments. Sample water originated from West Bay of the Neuse River Estuary, North Carolina USA in 2021 and 2022. The microcosms were 60 liters, conducted in biological duplicates under three light treatment incubations: 12-hour light-dark cycle of photosynthetically active radiation (PAR), 12-hour light-dark cycle of UV-B radiation, or darkness. Samples were collected from the microcosms in duplicate every few days for over one month to examine how light and the resulting microbial activity altered the concentrations of dissolved inorganic nutrients (total dissolved nitrate and nitrite or NOx, ammonium or NH4, and soluble reactive phosphorus or SRP) over time. Concentrations of these inorganic nutrients were quantified via colorimetric assays on a Genesys 10S UV-Vis spectrophotometer or Tecan Infinite 200Pro plate reader.\n\ncdm_data_type = Other\nVARIABLES:\nExperiment (unitless)\nDate_Start (unitless)\nIncubation_Day (days)\nTreatment (unitless)\nTank_ID (unitless)\nReplicate (unitless)\nNOx (micromolar (uM))\nNH4 (micromolar (uM))\nSRP (micromolar (uM))\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_944277_v1/index.htmlTable | https://www.bco-dmo.org/dataset/944277![]() | https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_944277_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_944277_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_944277_v1 | |||||
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908475_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908475_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_908475_v1/ | public | [Dissolved Organic Carbon] - Bulk dissolved organic carbon (DOC) from two microcosm incubation experiments conducted under three light treatments using water originating from West Bay of the Neuse River Estuary, North Carolina USA in 2021 and 2022 (Bacteria as Biosensors of Carbon and Energy Flow in Marine Ecosystems: Quantitative Links Between Substrates, Transcripts, and Metabolism) | Bulk dissolved organic carbon (DOC) was collected from two microcosm incubation experiments. Sample water originated from West Bay of the Neuse River Estuary, North Carolina USA in 2021 and 2022. The microcosms were 60 liters, conducted in biological duplicates under three light treatment incubations: 12-hour light-dark cycle of photosynthetically active radiation (PAR), 12-hour light-dark cycle of UV-B radiation, or darkness. Samples were collected from the microcosms in duplicate every few days for over one month to examine how light and the resulting microbial activity altered the DOC pool over time.\n\ncdm_data_type = Other\nVARIABLES:\nExperiment_Name (unitless)\nStart_date (unitless)\nTreatment (unitless)\nIncubation_day (days)\nTank_ID (unitless)\nDOC_uM (micromoles per liter (umol L-1))\nDOC_Technical_sd (micromoles per liter (umol L-1))\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_908475_v1/index.htmlTable | https://www.bco-dmo.org/dataset/908475![]() | https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_908475_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_908475_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_908475_v1 | |||||
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925050_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925050_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_925050_v1/ | public | [Microbial Cellular Abundance Epifluorescent Microscopy] - Microbial cellular abundance growth response through epifluorescent microscopy from the Neuse River Estuary, North Carolina USA from 2021-2022 (Bacteria as Biosensors of Carbon and Energy Flow in Marine Ecosystems: Quantitative Links Between Substrates, Transcripts, and Metabolism) | Microbial cellular abundance was enumerated for two microcosm incubation experiments to track the growth response of the microbial community. This dataset targets bacterial and phytoplankton abundance through epiflorescent microscopy. Sample water originated from the West Bay of the Neuse River Estuary, North Carolina USA in 2021 and 2022. The microcosms were 60-L, conducted in biological duplicates under three light treatment incubations: 12 h light-dark cycle of photosynthetically active radiation (PAR), 12 h light-dark cycle of UV-B radiation, or darkness. Unfiltered sample water was stained with SYBR Green I (Fall 2021 experiment) or DAPI (Spring 2022 experiment) for enumeration at 60x for bacterial and cyanobacterial abundance. Autofluorescence from excitation at 620 nm and 60x was used to enumerate small phytoplankton and cyanobacteria. This dataset highlights patterns in microbial growth across treatments over the course of the incubation and is used to generate cell-specific, normalized rates for associated datasets in the project.\n\ncdm_data_type = Other\nVARIABLES:\nExperiment_Name (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nIncubation_Day (days)\nTreatment (unitless)\nTank_ID (unitless)\nMethod (unitless)\nStain (unitless)\nExcitation (nanometers (nm))\nMagnification (unitless)\nSize_Fraction (micrometers (um))\ncells_per_L_avg (cells L-1)\ncells_per_L_sd (cells L-1)\nratio_620_tot (unitless)\nratio_err (unitless)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_925050_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_925050_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_925050_v1/index.htmlTable | https://www.bco-dmo.org/dataset/925050![]() | https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_925050_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_925050_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_925050_v1 | |||
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908626_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908626_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_908626_v1/ | public | [Microbial Respiration] - Microbial respiration from microcosm experiments conducted under three light treatments using water originating from West Bay of the Neuse River Estuary, North Carolina USA in 2021 and 2022 (Bacteria as Biosensors of Carbon and Energy Flow in Marine Ecosystems: Quantitative Links Between Substrates, Transcripts, and Metabolism) | Microbial respiration assays were conducted for two microcosm incubation experiments. Sample water originated from West Bay of the Neuse River Estuary, North Carolina USA in 2021 and 2022. The microcosms were 60-liters, conducted in biological duplicates under three light treatment incubations: 12-hour light-dark cycle of photosynthetically active radiation (PAR), 12-hour light-dark cycle of UV-B radiation, or darkness. Respiration assays of the unfiltered and 5-micron filtered community were initiated every few days using foil-membrane optodes to examine light effects on community respiration.\n\ncdm_data_type = Other\nVARIABLES:\nExperiment_Name (unitless)\nDate (unitless)\nTime_EDT (unitless)\nIncubation_day (days)\nTreatment (unitless)\nTank_ID (unitless)\nSize_fraction_um (micrometers (um))\nrespiration_uM_O2_d_1 (micromoles O2 per day (uM O2 d-1))\nrespiration_uM_C_d_1 (micromoles C per day (uM C d-1))\nr2 (unitless)\nRSE (unitless)\nNo_pts (unitless)\nISO_DateTime_Local (unitless)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_908626_v1/index.htmlTable | https://www.bco-dmo.org/dataset/908626![]() | https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_908626_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_908626_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_908626_v1 | |||||
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_733238 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_733238.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_733238/ | public | [Rapid Light Curves_PAM] - Measurements of fluorescence of photosystem II in Plocamium cartilagineum under various and pCO2 and temperature conditions (Ocean Acidification: Scope for Resilience to Ocean Acidification in Macroalgae) | This dataset includes photosynthetic pigment concentrations in Plocamium cartilagineum grown under various temperatures and CO2 levels, from July 2014 to February 2015. The parameters reported are: the concentrations of Chlorophyll a, Phycoerythrin, Phycocyanin, Allophycocyanin, and total Phycobiliprotein, and the ratio of total Phycobiliprotein to Chlorophyll A.\n\ncdm_data_type = Other\nVARIABLES:\nTrial (unitless)\nTank_ID (unitless)\npCO2 (P CO2, atm)\nTemp (Temperature, degrees Celsius (°C))\nPlant_ID (unitless)\nID (unitless)\nWeek (unitless)\ndate (unitless)\nlight (micromole photons/meter^2/second ( µmole photons . m^-2 . s^-1))\nF (unitless)\nFm (unitless)\nYield (unitless)\nrETR (R ETR, unitless)\nqP (Q P, unitless)\nqN (Q N, unitless)\nNPQ (unitless)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_733238/index.htmlTable | https://www.bco-dmo.org/dataset/733238![]() | https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_733238.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_733238&showErrors=false&email= | BCO-DMO | bcodmo_dataset_733238 |