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Dataset Title:  Pleurochrysis carterae growth cycle culture dynamics analyzed at Bigelow
Laboratory from 2013 (OA Copes Coccoliths project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_660244)
Range: time = 2014-04-22T09:47:00Z to 2014-05-06T11:31:00Z
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  pCO2_treatment {
    String bcodmo_name "treatment";
    String description "The independent variable; one of three pCO2 levels (280 ppm, 380 ppm, or 750 ppm). These treatment levels are nominal values as they represent the target pCO2 for each treatment. Within each pCO2 treatment there are 14 days worth of culture measurements for the algal cultures. Measurements of the media (without algae) were made on days 0 and 14. Only chemical measurements were made on the media not biological measurements.";
    String long_name "P CO2 Treatment";
    String units "parts per million (ppm)";
  date {
    String bcodmo_name "date";
    String description "The date the measurement was taken; YYYY/mm/dd";
    String long_name "Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String time_precision "1970-01-01";
    String units "unitless";
  day {
    Byte _FillValue 127;
    Byte actual_range 0, 14;
    String bcodmo_name "day";
    String description "The time elapsed since the beginning of the growth cycle.";
    String long_name "Day";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DAYXXXXX/";
    String units "unitless";
  time2 {
    String bcodmo_name "time";
    String description "The actual time that the measurements for that timepoint began; HH:MM";
    String long_name "Time";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/";
    String units "unitless";
  pH {
    Float32 _FillValue NaN;
    Float32 actual_range 7.779, 8.502;
    String bcodmo_name "pH";
    Float64 colorBarMaximum 9.0;
    Float64 colorBarMinimum 7.0;
    String description "pH measured on the total scale.";
    String long_name "Sea Water Ph Reported On Total Scale";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/";
    String units "pH";
  temperature {
    Float32 _FillValue NaN;
    Float32 actual_range 15.6, 17.3;
    String bcodmo_name "temperature";
    String description "Temperature";
    String long_name "Temperature";
    String units "celsius";
  salinity {
    Float32 _FillValue NaN;
    Float32 actual_range 31.2, 32.6;
    String bcodmo_name "sal";
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String description "Salinity";
    String long_name "Sea Water Practical Salinity";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "practical salnity unit (PSU)";
  inVivo_fluorescence {
    Float32 _FillValue NaN;
    Float32 actual_range 1.19, 110.0;
    String bcodmo_name "fluorescence";
    String description "fluorescence to indicate relative chlorophyll-a concentration.";
    String long_name "In Vivo Fluorescence";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CPHLPM01/";
    String units "relative fluorescence units";
  cell_density {
    Int32 _FillValue 2147483647;
    Int32 actual_range 11400, 1340000;
    String bcodmo_name "cell_concentration";
    String description "cell density of the culture, as measured by the Moxi Z Automated Cell Counter.";
    String long_name "Cell Density";
    String units "cells per milliliter (cells/mL)";
  mean_cellDiameter {
    Float32 _FillValue NaN;
    Float32 actual_range 8.44, 10.085;
    String bcodmo_name "unknown";
    String description "mean cell diameter as measured by the Moxi Z Automated Cell Counter.";
    String long_name "Mean Cell Diameter";
    String units "microns (um)";
  fluorescencePerCellDensity {
    Float32 _FillValue NaN;
    Float32 actual_range 7.0e-5, 1.1e-4;
    String bcodmo_name "fluorescence";
    String description "Fluorescence divided by cell density to give an estimate of fluorescence per cell.";
    String long_name "Fluorescence Per Cell Density";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CPHLPM01/";
    String units "cells per milliliter (cells/mL)-1";
  PIC_ugCPerL {
    Float32 _FillValue NaN;
    Float32 actual_range 130.0, 11421.0;
    String bcodmo_name "PIC";
    String description "Particulate inorganic carbon concentration";
    String long_name "PIC Ug CPer L";
    String units "ugC/L";
  PIC_pgCPerCell {
    Float32 _FillValue NaN;
    Float32 actual_range 4.93, 16.26;
    String bcodmo_name "PIC";
    String description "Particulate inorganic carbon concentration with unit conversion to pg/mL and divided by the cell density to give pg C per cell.";
    String long_name "PIC Pg CPer Cell";
    String units "pgC/cell";
  POC_ugCPermL {
    Float32 _FillValue NaN;
    Float32 actual_range 0.67, 90.1;
    String bcodmo_name "POC";
    String description "Particulate organic carbon concentration";
    String long_name "POC Ug CPerm L";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CORGCAP1/";
    String units "ugC/mL";
  POC_pgCPerCell {
    Float32 _FillValue NaN;
    Float32 actual_range 38.74, 90.2;
    String bcodmo_name "POC";
    String description "Particulate organic carbon concentration with unit conversion to pg/mL and divided by the cell density to give pg C per cell.";
    String long_name "POC Pg CPer Cell";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CORGCAP1/";
    String units "pgC/cell";
  NO2 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.1, 11.9;
    String bcodmo_name "NO2";
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String description "Nitrite concentration.";
    String long_name "Mole Concentration Of Nitrite In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/NTRIAAZX/";
    String units "umol/kg";
  NO3_NO2 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 919.9;
    String bcodmo_name "NO3_NO2";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "Nitrate + Nitrite concentration.";
    String long_name "Mole Concentration Of Nitrate In Sea Water";
    String units "umol/kg";
  NO3 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 919.7;
    String bcodmo_name "NO3";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "Nitrate concentration calculated from the total N and nitrite measurements.";
    String long_name "Mole Concentration Of Nitrate In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/NTRAIGGS/";
    String units "umol/kg";
  PO4 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.4, 27.8;
    String bcodmo_name "PO4";
    String description "Phosphate concentration.";
    String long_name "Mass Concentration Of Phosphate In Sea Water";
    String units "umol/kg";
  SiO4 {
    Float32 _FillValue NaN;
    Float32 actual_range 19.14, 21.9;
    String bcodmo_name "SiO4";
    String description "Silicate concentration.";
    String long_name "Si O4";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/SLCAAAZX/";
    String units "umol/kg";
  mean_SiO4 {
    Float32 _FillValue NaN;
    Float32 actual_range 20.6, 20.6;
    String bcodmo_name "SiO4";
    String description "Silicate concentration estimated as the average of the values from all the measured values. Biologically there should be no change in silicate concentration because coccolithophores do not take up silicate. However silicate values are needed to calculate the carbonate chemistry parameters in CO2sys so the average value was used for days when silicate concentrations were not measured.";
    String long_name "Mean Si O4";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/SLCAAAZX/";
    String units "umol/kg";
  TA {
    Float32 _FillValue NaN;
    Float32 actual_range 969.3, 2331.2;
    String bcodmo_name "TALK";
    String description "Total alkalinity";
    String long_name "TA";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MDMAP014/";
    String units "ueq/kg";
  DIC {
    Float32 _FillValue NaN;
    Float32 actual_range 847.5, 2192.0;
    String bcodmo_name "DIC";
    String description "Dissolved inorganic carbon concentration calculated using CO2sys.";
    String long_name "DIC";
    String units "umol/kg";
  pCO2 {
    Float32 _FillValue NaN;
    Float32 actual_range 70.9, 793.7;
    String bcodmo_name "pCO2";
    String description "Partial pressure of carbon dioxide in the water calculated using CO2sys.  This calculated value more accurately represents the pCO2 of the culture than the nominal treatment value which represents the pCO2 of the air bubbled into the culture.";
    String long_name "P CO2";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PCO2C101/";
    String units "uatm";
  HCO3 {
    Float32 _FillValue NaN;
    Float32 actual_range 781.7, 2067.7;
    String bcodmo_name "bicarbonate";
    String description "Bicarbonate concentration calculated using CO2sys.";
    String long_name "HCO3";
    String units "umol/kg";
  CO3 {
    Float32 _FillValue NaN;
    Float32 actual_range 59.3, 267.3;
    String bcodmo_name "carbonate";
    String description "Carbonate concentration calculated using CO2sys.";
    String long_name "CO3";
    String units "umol/kg";
  CO2 {
    Float32 _FillValue NaN;
    Float32 actual_range 2.5, 28.5;
    String bcodmo_name "pCO2";
    String description "Carbon dioxide concentration calculated using CO2sys.";
    String long_name "CO2";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PCO2C101/";
    String units "umol/kg";
  omega_calcite {
    Float32 _FillValue NaN;
    Float32 actual_range 1.44, 6.51;
    String bcodmo_name "Calcite Saturation State";
    String description "Saturation state of calcium carbonate with respect to calcite calculated using CO2sys.";
    String long_name "Omega Calcite";
    String units "unitless";
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.39816002e+9, 1.39937586e+9;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "Date/Time (UTC) ISO formatted; YYYY/mm/dd;HH:MM:SS";
    String ioos_category "Time";
    String long_name "ISO Date Time UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String source_name "ISO_DateTime_UTC";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"Cultures:\\u00a0Pleurochrysis carterae\\u00a0cultures were maintained in
exponential growth phase under axenic conditions in semi-continuous batch
culture using L1-Si media prepared on 0.2 um-filtered, UV-sterilized,
autoclaved seawater.\\u00a0 Cultures were acclimated to one of
three\\u00a0pCO2\\u00a0treatments for > 9 generations before experiments were
performed.\\u00a0 Cultures were maintained in an incubator at 16.5 +/- 0.5
degrees C and 470 umol photons/m-2/s\\u00a0PAR on a 14-10 light-dark cycle
where the lights turned on at 6 am and turned off at 8 pm.
pCO2\\u00a0Treatments: Carbonate chemistry was manipulated by bubbling cultures
and prepared media with 500 mL/min\\u00a0with 0.2 um-filtered 280, 380, or 750
ppm\\u00a0pCO2\\u00a0air.\\u00a0 The\\u00a0pCO2\\u00a0levels of the treatment air
were established using two mass flow controllers (Aalborg, Orangeburg, NY,
USA) for each treatment to precisely mix in-house compressed air and pure
CO2\\u00a0(Maine Oxy, Auburn, ME, USA).\\u00a0 The in-house compressed air was
stripped of CO2\\u00a0to less than 10 ppm CO2\\u00a0using a Puregas VCD
CO2\\u00a0Adsorber (Puregas, LLC, Broomfield, CO, USA).\\u00a0
The\\u00a0pCO2\\u00a0of the gas mixtures was stable to +/- 8
ppm.\\u00a0\\u00a0pCO2\\u00a0values of the cultures may be different than the
target levels due to biological activity.
Growth Cycle (14 d) Culture Dynamics Monitoring:\\u00a0 To understand the
chemical and biological culture dynamics over an entire growth cycle (14 days,
where days 1-9 represented exponential growth), the investigators took
measurements of one culture from each\\u00a0pCO2\\u00a0treatment every day at
approximately the same time of day for one full growth cycle.\\u00a0 Our pH
electrode malfunctioned on days 7 and 8, and the total alkalinity sample from
the 750 ppm treatment on day 8 was accidentally dropped and broken, so
calculations of full carbonate chemistry parameters for days 7 and 8 were not
pH Measurements:\\u00a0 The pH of the cultures was measured using an
OrionTM\\u00a0ROSSTM\\u00a0electrode connected to an Orion StarTM\\u00a0A211
Benchtop pH meter (ThermoFisher Scientific, Waltham, MA, USA), calibrated with
NBS buffers (EK Industries, Inc., Joliet, IL, USA) and corrected to the total
scale using weekly spectrophotometric pH measurements of culture
samples.\\u00a0 Spectrophotometric pH measurements of 0.2 um-filtered culture
samples were made with 20 mM\\u00a0m-Cresol purple sodium salt indicator dye
(Alfa Aesar, Ward Hill, MA, USA) using a Hitachi U-3010 spectrophotometer
(Hitachi High-Technologies, Clarksburg, MD, USA) equipped with a water
circulated cell holder connected to a VWR 1160 water bath (VWR, Radnor, PA,
USA) set at 16.5 degrees C, holding a 1 cm quartz cell.\\u00a0 The method
followed the procedure described by Clayton and Byrne (1993) and Dickson et
al. (2007), using the refit equation of Liu et al. (2011), resulting in a
resolution of +/- 0.004 pH units. \\u00a0
Temperature:\\u00a0Temperature measurements were made with an
OrionTM\\u00a0ROSSTM\\u00a0electrode connected to an Orion StarTM\\u00a0A211
Benchtop pH meter (ThermoFisher Scientific, Waltham, MA, USA).
Salinity:\\u00a0 Salinity was measured using an Acorn SALT 6 handheld salinity
meter (Oakton Instruments, Vernon Hills, IL, USA) with a resolution of +/- 0.1
in vivo Fluorescence:\\u00a0 Fluoresence was measured using a Turner 10-AU
fluorometer (Turner Designs, Sunnyvale, CA, USA).
Cell density and cell diameter: Culture density and mean cell diameter were
measured using a Moxi Z mini automated cell counter (ORFLO Technologies,
Ketchum, ID, USA), which has a coefficient of variation of 4%.
Particulate Inorganic Carbon:\\u00a0 Bulk culture PIC analyses followed the
technique of Fernandez et al. (1993): 10 mL culture samples were filtered onto
0.4 um polycarbonate filters and rinsed with potassium borate buffer with the
pH adjusted to 8.0 to remove seawater calcium chloride.\\u00a0 Filters were
carefully moved to trace-metal free centrifuge tubes and digested with 5 mL of
5% nitric acid.\\u00a0 The calcium concentration was measured using a Jobin
Yvon Ultima C inductively coupled plasma-atomic emission spectrometer (ICP-
AES, HORIBA, Ltd., Kyoto, Japan).\\u00a0 Bulk culture PIC measurements were
corrected to PIC/cell\\u00a0using the corresponding cell density measurements.
Particulate Organic Carbon:\\u00a0\\u00a0To determine the bulk culture POC
concentration, 10 mL of culture were filtered onto a pre-combusted Whatman
GF/F filter, which was then fumed in 10 % HCl to remove inorganic
carbonates.\\u00a0 The dried filters were then analyzed on an ECS 4010 CHNSO
Analyzer (Costech Analytical Technologies, Valencia, CA, USA) by Bigelow
Analytical Services, East Boothbay, ME, USA.\\u00a0 Bulk culture POC
measurements were corrected to POC/cell\\u00a0using the corresponding cell
density measurements.
Nutrients:\\u00a0 Culture samples were filtered to 0.2 um to remove all algal
cells and coccoliths, and samples were frozen prior to analysis.\\u00a0 Total N
(nitrate + nitrite), nitrite, phosphate, and silicate were measured by
Continuous Flow Analysis by Bigelow Analytical Services using a SEAL
AutoAnalyzer 3 HR (SEAL Analytical Inc., Mequon, WI, USA). \\u00a0
Total Alkalinity:\\u00a0 Culture samples were filtered to 0.2 um to remove all
algal cells and coccoliths.\\u00a0 Total alkalinity was measured via titration
with 0.01 N HCl using a Metrohm Titrando 888 controlled by Tiamo software
(Metrohm, Riverview, FL, USA) to perform automated Gran titrations of 4 mL
samples.\\u00a0 Titrations were corrected to Certified Reference Materials
(supplied by the laboratory of Andrew Dickson, Scripps Institution of
Oceanography, La Jolla, CA, USA).";
    String awards_0_award_nid "514411";
    String awards_0_award_number "OCE-1220068";
    String awards_0_data_url "http://nsf.gov/awardsearch/showAward?AWD_ID=1220068";
    String awards_0_funder_name "NSF Division of Ocean Sciences";
    String awards_0_funding_acronym "NSF OCE";
    String awards_0_funding_source_nid "355";
    String awards_0_program_manager "David L. Garrison";
    String awards_0_program_manager_nid "50534";
    String cdm_data_type "Other";
    String comment 
"14 Hour Culture Dynamics 
  W. Balch and D. Fields, PIs 
  Version 28 September 2016";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_type "institution";
    String creator_url "https://www.bco-dmo.org/";
    String data_source "extract_data_as_tsv version 2.3  19 Dec 2019";
    String date_created "2016-09-29T19:23:16Z";
    String date_modified "2019-06-11T16:27:34Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.660244.1";
    String history 
"2020-12-03T10:12:24Z (local files)
2020-12-03T10:12:24Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_660244.das";
    String infoUrl "https://www.bco-dmo.org/dataset/660244";
    String institution "BCO-DMO";
    String instruments_0_acronym "Nutrient Autoanalyzer";
    String instruments_0_dataset_instrument_description "Continuous flow analysis performed by Bigelow Analytical Services (SEAL Analytical Inc., Mequon, WI, USA).";
    String instruments_0_dataset_instrument_nid "663848";
    String instruments_0_description "Nutrient Autoanalyzer is a generic term used when specific type, make and model were not specified.  In general, a Nutrient Autoanalyzer is an automated flow-thru system for doing nutrient analysis (nitrate, ammonium, orthophosphate, and silicate) on seawater samples.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB04/";
    String instruments_0_instrument_name "Nutrient Autoanalyzer";
    String instruments_0_instrument_nid "558";
    String instruments_0_supplied_name "SEAL AutoAnalyzer 3 HR";
    String instruments_1_acronym "pH Sensor";
    String instruments_1_dataset_instrument_description "Orion ROSS electrode was connected to an Orion Star A211 Benchtop pH meter (ThermoFisher Scientific, Waltham, MA, USA)";
    String instruments_1_dataset_instrument_nid "660256";
    String instruments_1_description "General term for an instrument that measures the pH or how acidic or basic a solution is.";
    String instruments_1_instrument_name "pH Sensor";
    String instruments_1_instrument_nid "674";
    String instruments_1_supplied_name "Orion ROSS electrode";
    String instruments_2_acronym "Automatic titrator";
    String instruments_2_dataset_instrument_description "Automatic titrations controlled by Tiamo software (Metrohm, Riverview, FL, USA).";
    String instruments_2_dataset_instrument_nid "660261";
    String instruments_2_description "Instruments that incrementally add quantified aliquots of a reagent to a sample until the end-point of a chemical reaction is reached.";
    String instruments_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB12/";
    String instruments_2_instrument_name "Automatic titrator";
    String instruments_2_instrument_nid "682";
    String instruments_2_supplied_name "Metrohm Titrando 888";
    String instruments_3_acronym "Spectrophotometer";
    String instruments_3_dataset_instrument_description "Spectrophotometric pH measurements were taken of culture samples";
    String instruments_3_dataset_instrument_nid "660257";
    String instruments_3_description "An instrument used to measure the relative absorption of electromagnetic radiation of different wavelengths in the near infra-red, visible and ultraviolet wavebands by samples.";
    String instruments_3_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB20/";
    String instruments_3_instrument_name "Spectrophotometer";
    String instruments_3_instrument_nid "707";
    String instruments_3_supplied_name "Hitachi U-3010 spectrophotometer";
    String instruments_4_acronym "Salinity Sensor";
    String instruments_4_dataset_instrument_description "Salinity measured using this instrument with a resolution of +/- 0.1 ppt (Oakton Instruments, Vernon Hills, IL, USA)";
    String instruments_4_dataset_instrument_nid "660258";
    String instruments_4_description "Category of instrument that simultaneously measures electrical conductivity and temperature in the water column to provide temperature and salinity data.";
    String instruments_4_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/350/";
    String instruments_4_instrument_name "Salinity Sensor";
    String instruments_4_instrument_nid "710";
    String instruments_4_supplied_name "Acorn SALT 6 handheld salinity meter";
    String instruments_5_acronym "MFC";
    String instruments_5_dataset_instrument_description "Indicate and control set flow rates of gases. Manufactured in Orangeburg, NY USA.";
    String instruments_5_dataset_instrument_nid "660253";
    String instruments_5_description "Mass Flow Controller (MFC) - A device used to measure and control the flow of fluids and gases";
    String instruments_5_instrument_name "Mass Flow Controller";
    String instruments_5_instrument_nid "712";
    String instruments_5_supplied_name "Aalborg Mass Flow Controller";
    String instruments_6_acronym "ICP-OES";
    String instruments_6_dataset_instrument_description "Calcium concentration measured (ICP-AES, HORIBA, Ltd., Kyoto, Japan).";
    String instruments_6_dataset_instrument_nid "660259";
    String instruments_6_description "Also referred to as an Inductively coupled plasma atomic emission spectroscope (ICP-AES). These instruments pass nebulised samples into an inductively-coupled gas plasma (8-10000 K) where they are atomised and excited. The de-excitation optical emissions at characteristic wavelengths are spectroscopically analysed. It is often used in the detection of trace metals.";
    String instruments_6_instrument_name "Inductively Coupled Plasma Optical Emission Spectrometer";
    String instruments_6_instrument_nid "639924";
    String instruments_6_supplied_name "Jobin Yvon Ultima C";
    String instruments_7_acronym "CO2 Adsorber";
    String instruments_7_dataset_instrument_description "Instrument stripped compressed air of CO2";
    String instruments_7_dataset_instrument_nid "660254";
    String instruments_7_description "CO2 Adsorber - an instrument designed to remove CO2 and moisture from compressed air.";
    String instruments_7_instrument_name "CO2 Adsorber";
    String instruments_7_instrument_nid "651526";
    String instruments_7_supplied_name "Puregas VCD CO2 Adsorber";
    String instruments_8_acronym "ACC";
    String instruments_8_dataset_instrument_description "Measures culture density";
    String instruments_8_dataset_instrument_nid "660255";
    String instruments_8_description "Automated Cell Counter (ACC) - a tool used for counting live and/or dead cells in a culture.  It can also be used to size particles.";
    String instruments_8_instrument_name "Automated Cell Counter";
    String instruments_8_instrument_nid "651528";
    String instruments_8_supplied_name "Moxi Z Automated Cell Counter";
    String keywords "bco, bco-dmo, biological, calcite, carbon, carbon dioxide, carbonate, cell, cell_density, chemical, chemistry, co2, co3, concentration, cper, cperm, data, dataset, date, day, density, diameter, dic, dioxide, dmo, earth, Earth Science > Oceans > Ocean Chemistry > Nitrate, Earth Science > Oceans > Ocean Chemistry > pH, Earth Science > Oceans > Ocean Chemistry > Phosphate, Earth Science > Oceans > Salinity/Density > Salinity, erddap, fluorescence, fluorescencePerCellDensity, hco3, inVivo_fluorescence, iso, management, mass, mass_concentration_of_phosphate_in_sea_water, mean, mean_cellDiameter, mean_SiO4, mole, mole_concentration_of_nitrate_in_sea_water, mole_concentration_of_nitrite_in_sea_water, n02, nitrate, nitrite, NO2, no3, NO3_NO2, ocean, oceanography, oceans, office, omega, omega_calcite, pCO2, pCO2_treatment, per, phosphate, pic, PIC_pgCPerCell, PIC_ugCPerL, po4, poc, POC_pgCPerCell, POC_ugCPermL, practical, preliminary, reported, salinity, scale, science, sea, sea_water_ph_reported_on_total_scale, sea_water_practical_salinity, seawater, SiO4, temperature, time, time2, total, treatment, vivo, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/660244/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/660244";
    String param_mapping "{'660244': {'ISO_DateTime_UTC': 'flag - time'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/660244/parameters";
    String people_0_affiliation "Bigelow Laboratory for Ocean Sciences";
    String people_0_person_name "William M. Balch";
    String people_0_person_nid "50650";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Bigelow Laboratory for Ocean Sciences";
    String people_1_person_name "David Fields";
    String people_1_person_nid "51141";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Bigelow Laboratory for Ocean Sciences";
    String people_2_person_name "William M. Balch";
    String people_2_person_nid "50650";
    String people_2_role "Contact";
    String people_2_role_type "related";
    String people_3_affiliation "Bigelow Laboratory for Ocean Sciences";
    String people_3_person_name "Meredith White";
    String people_3_person_nid "514420";
    String people_3_role "Contact";
    String people_3_role_type "related";
    String people_4_affiliation "Woods Hole Oceanographic Institution";
    String people_4_affiliation_acronym "WHOI BCO-DMO";
    String people_4_person_name "Hannah Ake";
    String people_4_person_nid "650173";
    String people_4_role "BCO-DMO Data Manager";
    String people_4_role_type "related";
    String project "OA_Copes_Coccoliths";
    String projects_0_acronym "OA_Copes_Coccoliths";
    String projects_0_description 
"(Extracted from the NSF award abstract)
Ocean acidification is one of the most pressing marine science issues of our time, with potential biological impacts spanning all marine phyla and potential societal impacts affecting man's relationship to the sea. Rising levels of atmospheric pCO2 are increasing the acidity of the world oceans. It is generally held that average surface ocean pH has already declined by 0.1 pH units relative to the pre-industrial level (Orr et al., 2005), and is projected to decrease 0.3 to 0.46 units by the end of this century, depending on CO2 emission scenarios (Caldeira and Wickett, 2005). The overall goal of this research is to parameterize how changes in pCO2 levels could alter the biological and alkalinity pumps of the world ocean. Specifically, the direct and indirect effects of ocean acidification will be examined within a simple, controlled predator/prey system containing a single prey phytoplankton species (the coccolithophore, Emiliania huxleyi) and a single predator (the oceanic metazoan grazer, Calanus finmarchicus). The experiments are designed to elucidate both direct effects (i.e. effects of ocean acidification on the individual organisms only) and interactive effects (i.e. effects on the combined predator/prey system). Interactive experiments with phytoplankton prey and zooplankton predator are a critical starting point for predicting the overall impact of ocean acidification in marine ecosystems. To meet these goals, a state-of-the-art facility will be constructed with growth chambers that are calibrated and have highly-controlled pH and alkalinity levels. The strength of this approach lies in meticulous calibration and redundant measurements that will be made to ensure that conditions within the chambers are well described and tightly monitored for DIC levels. Growth and calcification rates in coccolithophores and the developmental rates, morphological and behavioral effects on copepods will be measured. The PIC and POC in the algae and the excreted fecal pellets will be monitored for changes in the PIC/POC ratio, a key parameter for modeling feedback mechanisms for rising pCO2 levels. In addition, 14C experiments are planned to measure calcification rates in coccolithophores and dissolution rates as a result of grazing. These key experiments will verify closure in the mass balance of PIC, allowing the determination of actual dissolution rates of PIC within the guts of copepod grazers.";
    String projects_0_end_date "2015-07";
    String projects_0_geolocation "Laboratory experiments;  East Boothbay, Maine";
    String projects_0_name "Effects of ocean acidification on Emiliania huxleyi and Calanus finmarchicus; insights into the oceanic alkalinity and biological carbon pumps";
    String projects_0_project_nid "514415";
    String projects_0_start_date "2012-08";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Pleurochrysis carterae growth cycle culture dynamics analyzed at Bigelow Laboratory from 2013 (OA Copes Coccoliths project)";
    String time_coverage_end "2014-05-06T11:31:00Z";
    String time_coverage_start "2014-04-22T09:47:00Z";
    String title "Pleurochrysis carterae growth cycle culture dynamics analyzed at Bigelow Laboratory from 2013 (OA Copes Coccoliths project)";
    String version "1";
    String xml_source "osprey2erddap.update_xml() v1.3";


Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its selection constraints (external link).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

Tabledap request URLs must be in the form
For example,
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.

ERDDAP, Version 2.02
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