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Dataset Title:  Table 2: Carbonate data and nutrients measured during Calanus finmarchicus and
Meganyctiphanes norvegica egg hatching success experiments, 2011-2012
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_738494)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 EXPERIMENT (unitless) ?          1    13
 SAMPLING_DATE (unitless) ?          110527    120731
 EVENT (unitless) ?          3    24
 TIME_elapsed (hours) ?          -7.4    137.8
 TANK (unitless) ?          1    6
 TEMP (Temperature, degrees Celsius) ?          -99.0    15.4
 SAL (parts per thousand (ppt)) ?          -99.0    32.389
 ALKALIN (micromol/kilogram) ?          -99.0    2227.6
 TCO2 (micromol/kilogram) ?          -99.0    4763.5
 NO3_NO2 (micromol/kilogram) ?          -99.0    9.19
 NH4 (micromol/kilogram) ?          -99.0    2.59
 PO4 (micromol/kilogram) ?          -99.0    0.99
 SI (micromol/kilogram) ?          -99.0    9.72
 PHTTL (pH units) ?          -99.0    8.029
 XCO2 (parts per million (ppm) in dry gas) ?          -99.0    50962.0
 OMCA (unitless) ?          -99.0    3.38
 OMAR (unitless) ?          -99.0    2.15
 
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  EXPERIMENT {
    Byte _FillValue 127;
    Byte actual_range 1, 13;
    String bcodmo_name "exp_id";
    String description "Number of the experiment";
    String long_name "EXPERIMENT";
    String units "unitless";
  }
  SAMPLING_DATE {
    Int32 _FillValue 2147483647;
    Int32 actual_range 110527, 120731;
    String bcodmo_name "date";
    String description "Date of sampling formatted as yymmdd";
    String long_name "SAMPLING DATE";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String units "unitless";
  }
  EVENT {
    Byte _FillValue 127;
    Byte actual_range 3, 24;
    String bcodmo_name "event";
    String description "Number of the sampling event";
    String long_name "EVENT";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/EVTAGFL/";
    String units "unitless";
  }
  TIME_elapsed {
    Float32 _FillValue NaN;
    Float32 actual_range -7.4, 137.8;
    String bcodmo_name "time_elapsed";
    String description "Time from internment of eggs";
    String long_name "TIME Elapsed";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ELTMZZZZ/";
    String units "hours";
  }
  TANK {
    Byte _FillValue 127;
    Byte actual_range 1, 6;
    String bcodmo_name "sample";
    String description "Number of the tank";
    String long_name "TANK";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  TEMP {
    Float32 _FillValue NaN;
    Float32 actual_range -99.0, 15.4;
    String bcodmo_name "temperature";
    String description "Tank temperature";
    String long_name "Temperature";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius";
  }
  SAL {
    Float32 _FillValue NaN;
    Float32 actual_range -99.0, 32.389;
    String bcodmo_name "sal";
    String description "Salinity in the tank";
    String long_name "SAL";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "parts per thousand (ppt)";
  }
  ALKALIN {
    Float32 _FillValue NaN;
    Float32 actual_range -99.0, 2227.6;
    String bcodmo_name "TALK";
    String description "Total alkalinity in the tank";
    String long_name "ALKALIN";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MDMAP014/";
    String units "micromol/kilogram";
  }
  TCO2 {
    Float32 _FillValue NaN;
    Float32 actual_range -99.0, 4763.5;
    String bcodmo_name "TCO2";
    String description "Total CO2 concentration in the tank";
    String long_name "TCO2";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TCO2KG01/";
    String units "micromol/kilogram";
  }
  NO3_NO2 {
    Float32 _FillValue NaN;
    Float32 actual_range -99.0, 9.19;
    String bcodmo_name "NO3_NO2";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "Tank's nitrate + nitrite concentration";
    String long_name "Mole Concentration Of Nitrate In Sea Water";
    String units "micromol/kilogram";
  }
  NH4 {
    Float32 _FillValue NaN;
    Float32 actual_range -99.0, 2.59;
    String bcodmo_name "Ammonium";
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String description "Tank's dissolved ammonium concentration";
    String long_name "Mole Concentration Of Ammonium In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AMONAAZX/";
    String units "micromol/kilogram";
  }
  PO4 {
    Float32 _FillValue NaN;
    Float32 actual_range -99.0, 0.99;
    String bcodmo_name "PO4";
    String description "Tank's dissolved phosphate concentration";
    String long_name "Mass Concentration Of Phosphate In Sea Water";
    String units "micromol/kilogram";
  }
  SI {
    Float32 _FillValue NaN;
    Float32 actual_range -99.0, 9.72;
    String bcodmo_name "SiOH_4";
    String description "Tank's dissolved silicate concentration";
    String long_name "Mass Concentration Of Silicate In Sea Water";
    String units "micromol/kilogram";
  }
  PHTTL {
    Float32 _FillValue NaN;
    Float32 actual_range -99.0, 8.029;
    String bcodmo_name "pH";
    String description "Total pH in the tank (calculated)";
    String long_name "PHTTL";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/";
    String units "pH units";
  }
  XCO2 {
    Float32 _FillValue NaN;
    Float32 actual_range -99.0, 50962.0;
    String bcodmo_name "TCO2";
    String description "CO2 gas concentration (calculated)";
    String long_name "XCO2";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TCO2KG01/";
    String units "parts per million (ppm) in dry gas";
  }
  OMCA {
    Float32 _FillValue NaN;
    Float32 actual_range -99.0, 3.38;
    String bcodmo_name "Calcite Saturation State";
    String description "Degree of saturation for calcite";
    String long_name "OMCA";
    String units "unitless";
  }
  OMAR {
    Float32 _FillValue NaN;
    Float32 actual_range -99.0, 2.15;
    String bcodmo_name "OM_ar";
    String description "Degree of saturation for aragonite";
    String long_name "OMAR";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"Total Alkalinity:\\u00a0 Alkalinity was determined using an open cell titration
with HCl (Dickson et al., 2007).\\u00a0 The pH meter was a Corning model 109
which had been adapted so that the millivolt out was logged by computer
through a 14 bit A to D converter.\\u00a0 The electrode was an Orion Ross ultra
semi-micro glass electrode model 8103-BNUWP.\\u00a0 The pH electrode was
standardized with accurate pH buffers.\\u00a0 The tris buffer (
2-amino-2-hydroxymethyl-1,3-propanediol) had a pH of about 8.09 depending on
temperature.\\u00a0 The AMP buffer (2-aminopyridine) had a pH of about 6.79
depending on temperature.\\u00a0 Both were dissolved in artificial seawater at
S = 35 (Dickson et al., 2007, SOP-6a).\\u00a0 Samples and standards were
titrated with a 0.15 M HCl solution in 0.45 M NaCl and the temperature was
measured to the nearest 0.01C using a NIST calibrated platinum
thermometer.\\u00a0 The alkalinity standards generally were precise
alkalinity/total carbon dioxide seawater standards from Scripps Institute of
Oceanography (SIO), but early experiments also used a phosphate buffer
standard comprised of an equal molar mixture of KH2PO4\\u00a0and
Na2HPO4\\u00a0-7 H2O in 0.70 M NaCl.\\u00a0 This phosphate standard was cross
calibrated with the SIO standards.\\u00a0 The procedure used generally gave the
precision of several replicate standard titrations of 0.06% (standard error of
the mean as percent of the mean value).\\u00a0 Alkalinities were determined by
the fitting procedure described in Dickson et al., 2007 (SOP-3b).
 
Total Carbon Dioxide:\\u00a0 These concentrations were determined by acid
stripping a 1.113 ml volume of water sample or TCO2\\u00a0standard, trapping
the expelled CO2, and then injecting it into a Shimadzu Model GC-8A gas
chromatograph with a thermal conductivity detector (Christensen, 2008).\\u00a0
Two standards were employed, ones made from prebaked and freshly made Na2CO3,
and the previously mentioned SIO total carbon dioxide seawater
standards.\\u00a0 This analytical system obtained a precision of about 0.06%
(standard error of the mean as percent of the mean).\\u00a0 However, in the
results listed in this report, precision was less, averaging about 0.25%
(standard error of the mean as percent of the mean) because sample analysis
time was speeded up causing slightly less efficient trapping of the sample's
CO2.\\u00a0
 
Salinity and Nutrients:\\u00a0 Salinity was determined using an Autosal 8400A
conductivity salinometer with IAPSO standard seawater standards.\\u00a0
Replicate determinations of a single sample were made until two consecutive
readings of conductivity matched within +/- 0.002 ppt.\\u00a0 Nutrients were
determined by autoanalyzer using the methods for nitrate and nitrite of
Armstrong et al. (1967) and Pavlou (1972), for ammonium of Koroleff (1970) and
Slawyk and MacIsaac (1972), for dissolved inorganic phosphate (Drummond and
Maher, 1995), and dissolved silicate (Armstrong et al., 1967).\\u00a0
Concentrations were measured in mol L-1\\u00a0and converted to mol
kg-1\\u00a0based on the sample's sigma-t value computed from the sample's
salinity and the laboratory temperature during analysis.
 
Calculation of Carbonate System Parameters:\\u00a0 Carbonate system parameters,
include total pH, were calculated from the measured chemistry of the water
samples using the carbonate equilibrium model, CO2SYS (DOE, 1994; Lewis and
Wallace, 1995).\\u00a0 This program employs the equilibrium coefficients of Roy
et al. (1993) for carbonate coefficients, K1 and K2, of Weiss (1974) for
carbon dioxide, K0, of Dickson (1990a) for borate, of Dickson and Riley (1979)
for fluoride, of Dickson (1990b) for sulfate, and of Millero (1995) for
phosphate (kp1, kp2, kp3) and silicate.\\u00a0 Seawater density at atmospheric
pressure was that of UNESCO (1981).";
    String awards_0_award_nid "54712";
    String awards_0_award_number "OCE-1041081";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1041081";
    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 
"Carbonate data and nutrients during egg experiments 
   OCEAN PH AFFECTS CALANUS EGGS - TABLE 2, Preziosi, et al (2017) Mar. Bio. DOI 10.1007/s00227-017-3243-5 
   PI's: J. Christensen (Green Eyes LLC), J. Runge (GMRI) 
   version: 2018-06-13";
    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 "2018-06-13T19:08:44Z";
    String date_modified "2019-12-04T15:21:32Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.738494.1";
    String history 
"2020-08-13T15:03:18Z (local files)
2020-08-13T15:03:18Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_738494.html";
    String infoUrl "https://www.bco-dmo.org/dataset/738494";
    String institution "BCO-DMO";
    String instruments_0_acronym "Nutrient Autoanalyzer";
    String instruments_0_dataset_instrument_nid "738507";
    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_1_acronym "salinometer";
    String instruments_1_dataset_instrument_description "Used to measure salinity, with IAPSO seawater standards.";
    String instruments_1_dataset_instrument_nid "738506";
    String instruments_1_description "The salinometer is an instrument for measuring the salinity of a water sample.";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB30/";
    String instruments_1_instrument_name "Autosal salinometer";
    String instruments_1_instrument_nid "576";
    String instruments_1_supplied_name "Autosal 8400A conductivity salinometer";
    String instruments_2_acronym "Gas Chromatograph";
    String instruments_2_dataset_instrument_description "Used to measure Total CO2, determined by acid stripping a 1.113 ml volume of water sample or TCO2 standard, trapping the expelled CO2, and then injecting it into the chromatograph had a thermal conductivity detector.";
    String instruments_2_dataset_instrument_nid "738505";
    String instruments_2_description "Instrument separating gases, volatile substances, or substances dissolved in a volatile solvent by transporting an inert gas through a column packed with a sorbent to a detector for assay. (from SeaDataNet, BODC)";
    String instruments_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB02/";
    String instruments_2_instrument_name "Gas Chromatograph";
    String instruments_2_instrument_nid "661";
    String instruments_2_supplied_name "Shimadzu Model GC-8A gas chromatograph";
    String instruments_3_acronym "Benchtop pH Meter";
    String instruments_3_dataset_instrument_description "Adapted so that the millivolt out was logged by computer through a 14 bit A to D converter. The electrode was an Orion Ross ultra semi-micro glass electrode model 8103-BNUWP.";
    String instruments_3_dataset_instrument_nid "738501";
    String instruments_3_description 
"An instrument consisting of an electronic voltmeter and pH-responsive electrode that gives a direct conversion of voltage differences to differences of pH at the measurement temperature.  (McGraw-Hill Dictionary of Scientific and Technical Terms) 
This instrument does not map to the NERC instrument vocabulary term for 'pH Sensor' which measures values in the water column.  Benchtop models are typically employed for stationary lab applications.";
    String instruments_3_instrument_name "Benchtop pH Meter";
    String instruments_3_instrument_nid "681";
    String instruments_3_supplied_name "Corning model 109";
    String keywords "alkalin, altimetry, ammonia, ammonium, bco, bco-dmo, biological, chemical, chemistry, concentration, data, dataset, date, dmo, earth, Earth Science > Oceans > Ocean Chemistry > Ammonia, Earth Science > Oceans > Ocean Chemistry > Nitrate, Earth Science > Oceans > Ocean Chemistry > Phosphate, Earth Science > Oceans > Ocean Chemistry > Silicate, elapsed, erddap, event, experiment, laboratory, management, mass, mass_concentration_of_phosphate_in_sea_water, mass_concentration_of_silicate_in_sea_water, mole, mole_concentration_of_ammonium_in_sea_water, mole_concentration_of_nitrate_in_sea_water, n02, nh4, nitrate, no3, NO3_NO2, ocean, oceanography, oceans, office, omar, omca, phosphate, phttl, po4, preliminary, sal, sampling, SAMPLING_DATE, satellite, science, sea, seawater, silicate, tank, tco2, TEMP, temperature, time, TIME_elapsed, water, xco2";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/738494/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/738494";
    String param_mapping "{'738494': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/738494/parameters";
    String people_0_affiliation "Green Eyes LLC";
    String people_0_person_name "John P Christensen";
    String people_0_person_nid "51603";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Gulf of Maine Research Institute";
    String people_1_affiliation_acronym "GMRI";
    String people_1_person_name "Jeffrey A. Runge";
    String people_1_person_nid "50905";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI BCO-DMO";
    String people_2_person_name "Nancy Copley";
    String people_2_person_nid "50396";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "OA Calanus Survival";
    String projects_0_acronym "OA Calanus Survival";
    String projects_0_description 
"The project description is a modification of the original NSF award abstract.
This research project is part of the larger NSF funded CRI-OA collaborative research initiative and was funded as an Ocean Acidification-Category 1, 2010 award. While attention concerning impacts of predicted acidification of the world's oceans has focused on calcifying organisms, non-calcifying plankton may also be vulnerable. In this project, the investigator will evaluate the potential for impacts of ocean acidification on the reproductive success of three species of planktonic copepods in the genus Calanus that are prominent in high latitude oceans. C. finmarchicus dominates the mesozooplankton biomass across much of the coastal and deep North Atlantic Ocean. C. glacialis and the larger C. hyperboreus are among the most abundant planktonic copepods in the Arctic Ocean. Previous research showed that hatching success of C. finmarchicus eggs was severely inhibited by increased CO2 and lower pH in seawater, but only tested at an extreme level. Preliminary results in the investigator's laboratory indicate that hatching success of C. finmarchicus is substantially reduced at increased seawater CO2 concentrations corresponding to pH levels between 7.9 and 7.5. Predictions of likely decline of surface pH levels to 7.7-7.8 over the next century raise questions about impacts on Calanus population dynamics if these preliminary results are confirmed. C. finmarchicus, for example, is presently at the southern edge of its range in the Gulf of Maine. The combination of higher surface layer temperature and lower pH may inhibit reproductive success during the late summer/fall bloom, which the PI hypothesize is critical to sustain the overwintering stock in this region. The investigators will collect C. finmarchicus females from the Gulf of Maine and, with the assistance of Canadian colleagues, C. glacialis and C. hyperboreus females from the deep lower St. Lawrence Estuary. They will conduct laboratory experiments in which hatching success, development and growth of Calanus nauplius stages are measured in controls of natural seawater and at a series of treatments in which CO2 concentrations, pH and temperature are rigorously controlled to represent possible future states of the northern ocean. The investigators will measure present surface and deep pCO2 and pH across the Gulf of Maine, including its deep basins, during a research cruise. The study will evaluate the hypothesis that predicted levels of CO2 increase in the northern ocean will impact population dynamics of the Calanus species. Using the results from the research cruise and a recently developed 1-D, Individual-Based life cycle model, the PI will explore in detail scenarios of impact of higher temperature and lower surface and deep pH on population dynamics of C. finmarchicus in the Gulf of Maine.
The lipid-rich Calanus species are considered key intermediary links between primary production and higher trophic levels in North Atlantic and Arctic Ocean food webs. Impacts of higher surface temperature and lower pH on reproductive success may potentially lead to profound changes in energy transfer and structure of pelagic ecosystems in the northern oceans. In the Gulf of Maine, C. finmarchicus serves as primary prey for herring, sand lance, and mackerel, as well as the endangered northern right whale, warranting thorough evaluation of ocean acidification effects on its population dynamics.";
    String projects_0_end_date "2013-10";
    String projects_0_geolocation "Gulf of Maine";
    String projects_0_name "Ocean Acidification-Category 1- Impact of ocean acidification on survival of early life stages of planktonic copepods in the genus Calanus in the northern";
    String projects_0_project_nid "2184";
    String projects_0_start_date "2010-11";
    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 "This dataset presents the carbonate system and nutrients measurements during Calanus finmarchicus and Meganyctiphanes norvegica egg hatching success experiments, 2011-2012. Results are published in Preziosi et al (2017), Table 2.";
    String title "Table 2: Carbonate data and nutrients measured during Calanus finmarchicus and Meganyctiphanes norvegica egg hatching success experiments, 2011-2012";
    String version "1";
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

 

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