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Dataset Title:  [Atlantic ZooPlankton AA 15N values] - Mean d15N of individual amino acids and
bulk organic matter for five plankton size fractions (The Use of Nitrogen
Isotopes of Amino Acids To Understand Marine Sedimentary 15N Records)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_715977)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Subset | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
   or a List of Values ?
   Maximum ?
 
 Zone (unitless) ?          "Central"    "West"
 plankton_size_fraction (microns) ?          "1000-2000"    "greater than 2000"
 Bulk_15N (per mil) ?          0.4    4.3
 Bulk_15N_significant_difference (per mil) ?          "a"    "no significant dif..."
 trophicAA_Glx (per mil) ?          8.6    14.7
 trophicAA_Glx_significant_difference (per mil) ?          "a"    "d"
 trophicAA_Asp (per mil) ?          6.0    11.1
 trophicAA_Asp_significant_difference (per mil) ?          "a"    "no significant dif..."
 trophicAA_Ala (per mil) ?          "11.4"    "9.7"
 trophicAA_Ala_significant_difference (per mil) ?          "a"    "e"
 trophicAA_Ile (per mil) ?          5.7    11.9
 trophicAA_Ile_significant_difference (per mil) ?          "a"    "c"
 trophicAA_Leu (per mil) ?          4.3    11.6
 trophicAA_Leu_significant_difference (per mil) ?          "a"    "no significant dif..."
 trophicAA_Pro (per mil) ?          5.9    11.3
 trophicAA_Pro_significant_difference (per mil) ?          "a"    "no significant dif..."
 trophicAA_Val (per mil) ?          "10.0e"    "9.9"
 trophicAA_Val_significant_difference (per mil) ?          "a"    "e"
 sourceAA_Gly (per mil) ?          "-0.8"    "4"
 sourceAA_Gly_significant_difference (per mil) ?          "a"    "d"
 sourceAA_Ser (per mil) ?          -0.8    4.0
 sourceAA_Ser_significant_difference (per mil) ?          "a"    "no significant dif..."
 sourceAA_Lys (per mil) ?          -0.8    4.2
 sourceAA_Lys_significant_difference (per mil) ?          "a"    "no significant dif..."
 sourceAA_Phe (per mil) ?          -1.8    0.7
 sourceAA_Phe_significant_difference (per mil) ?          "a"    "no significant dif..."
 metabAA_Thr (per mil) ?          -16.7    -9.8
 metabAA_Thr_significant_difference (per mil) ?          "a"    "d"
 CSI_AA_TP (unitless) ?          1.8    2.5
 CSI_AA_TP_significant_difference (unitless) ?          "a"    "no significant dif..."
 CSI_AA_sigmaV (unitless) ?          1.1    1.8
 CSI_AA_sigmaV_significant_difference (unitless) ?      
   - +  ?
 
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Zone {
    String bcodmo_name "site_descrip";
    String description "Location where plankton size fractions were analyzed; The West Central or Eastern Zone.";
    String long_name "Zone";
    String units "unitless";
  }
  plankton_size_fraction {
    String bcodmo_name "cell_size";
    String description "Plankton size fraction range";
    String long_name "Plankton Size Fraction";
    String units "microns";
  }
  Bulk_15N {
    Float32 _FillValue NaN;
    Float32 actual_range 0.4, 4.3;
    String bcodmo_name "d15N";
    String description "15N/14N isotopic ratio total sample";
    String long_name "Bulk 15 N";
    String units "per mil";
  }
  Bulk_15N_significant_difference {
    String bcodmo_name "d15N";
    String description "Significant difference; The significant differences between fractions for each zone are indicated with differenent letters (a b and c); Cases with no letters indicate no significant differences within the zones sampled.";
    String long_name "Bulk 15 N Significant Difference";
    String units "per mil";
  }
  trophicAA_Glx {
    Float32 _FillValue NaN;
    Float32 actual_range 8.6, 14.7;
    String bcodmo_name "amino_conc";
    String description "Gln+Glu d15N value";
    String long_name "Trophic AA Glx";
    String units "per mil";
  }
  trophicAA_Glx_significant_difference {
    String bcodmo_name "amino_conc";
    String description "Significant difference; The significant differences between fractions for each zone are indicated with differenent letters (a b and c); Cases with no letters indicate no significant differences within the zones sampled.";
    String long_name "Trophic AA Glx Significant Difference";
    String units "per mil";
  }
  trophicAA_Asp {
    Float32 _FillValue NaN;
    Float32 actual_range 6.0, 11.1;
    String bcodmo_name "amino_conc";
    String description "Aspartic Acid + Asparagine d15N value";
    String long_name "Trophic AA Asp";
    String units "per mil";
  }
  trophicAA_Asp_significant_difference {
    String bcodmo_name "amino_conc";
    String description "Significant difference; The significant differences between fractions for each zone are indicated with differenent letters (a b and c); Cases with no letters indicate no significant differences within the zones sampled.";
    String long_name "Trophic AA Asp Significant Difference";
    String units "per mil";
  }
  trophicAA_Ala {
    String bcodmo_name "amino_conc";
    String description "Alanine d15N value";
    String long_name "Trophic AA Ala";
    String units "per mil";
  }
  trophicAA_Ala_significant_difference {
    String bcodmo_name "amino_conc";
    String description "Significant difference; The significant differences between fractions for each zone are indicated with differenent letters (a b and c); Cases with no letters indicate no significant differences within the zones sampled.";
    String long_name "Trophic AA Ala Significant Difference";
    String units "per mil";
  }
  trophicAA_Ile {
    Float32 _FillValue NaN;
    Float32 actual_range 5.7, 11.9;
    String bcodmo_name "amino_conc";
    String description "Isoleucine d15N value";
    String long_name "Trophic AA Ile";
    String units "per mil";
  }
  trophicAA_Ile_significant_difference {
    String bcodmo_name "amino_conc";
    String description "Significant difference; The significant differences between fractions for each zone are indicated with differenent letters (a b and c); Cases with no letters indicate no significant differences within the zones sampled.";
    String long_name "Trophic AA Ile Significant Difference";
    String units "per mil";
  }
  trophicAA_Leu {
    Float32 _FillValue NaN;
    Float32 actual_range 4.3, 11.6;
    String bcodmo_name "amino_conc";
    String description "Leucine d15N value";
    String long_name "Trophic AA Leu";
    String units "per mil";
  }
  trophicAA_Leu_significant_difference {
    String bcodmo_name "amino_conc";
    String description "Significant difference; The significant differences between fractions for each zone are indicated with differenent letters (a b and c); Cases with no letters indicate no significant differences within the zones sampled.";
    String long_name "Trophic AA Leu Significant Difference";
    String units "per mil";
  }
  trophicAA_Pro {
    Float32 _FillValue NaN;
    Float32 actual_range 5.9, 11.3;
    String bcodmo_name "amino_conc";
    String description "Proline d15N value";
    String long_name "Trophic AA Pro";
    String units "per mil";
  }
  trophicAA_Pro_significant_difference {
    String bcodmo_name "amino_conc";
    String description "Significant difference; The significant differences between fractions for each zone are indicated with differenent letters (a b and c); Cases with no letters indicate no significant differences within the zones sampled.";
    String long_name "Trophic AA Pro Significant Difference";
    String units "per mil";
  }
  trophicAA_Val {
    String bcodmo_name "amino_conc";
    String description "Valine d15N value";
    String long_name "Trophic AA Val";
    String units "per mil";
  }
  trophicAA_Val_significant_difference {
    String bcodmo_name "amino_conc";
    String description "Significant difference; The significant differences between fractions for each zone are indicated with differenent letters (a b and c); Cases with no letters indicate no significant differences within the zones sampled.";
    String long_name "Trophic AA Val Significant Difference";
    String units "per mil";
  }
  sourceAA_Gly {
    String bcodmo_name "amino_conc";
    String description "Glycine d15N value";
    String long_name "Source AA Gly";
    String units "per mil";
  }
  sourceAA_Gly_significant_difference {
    String bcodmo_name "amino_conc";
    String description "Significant difference; The significant differences between fractions for each zone are indicated with differenent letters (a b and c); Cases with no letters indicate no significant differences within the zones sampled.";
    String long_name "Source AA Gly Significant Difference";
    String units "per mil";
  }
  sourceAA_Ser {
    Float32 _FillValue NaN;
    Float32 actual_range -0.8, 4.0;
    String bcodmo_name "amino_conc";
    String description "Serine d15N value";
    String long_name "Source AA Ser";
    String units "per mil";
  }
  sourceAA_Ser_significant_difference {
    String bcodmo_name "amino_conc";
    String description "Significant difference; The significant differences between fractions for each zone are indicated with differenent letters (a b and c); Cases with no letters indicate no significant differences within the zones sampled.";
    String long_name "Source AA Ser Significant Difference";
    String units "per mil";
  }
  sourceAA_Lys {
    Float32 _FillValue NaN;
    Float32 actual_range -0.8, 4.2;
    String bcodmo_name "amino_conc";
    String description "Lysine d15N value";
    String long_name "Source AA Lys";
    String units "per mil";
  }
  sourceAA_Lys_significant_difference {
    String bcodmo_name "amino_conc";
    String description "Significant difference; The significant differences between fractions for each zone are indicated with differenent letters (a b and c); Cases with no letters indicate no significant differences within the zones sampled.";
    String long_name "Source AA Lys Significant Difference";
    String units "per mil";
  }
  sourceAA_Phe {
    Float32 _FillValue NaN;
    Float32 actual_range -1.8, 0.7;
    String bcodmo_name "amino_conc";
    String description "Phenylalanine d15N value";
    String long_name "Source AA Phe";
    String units "per mil";
  }
  sourceAA_Phe_significant_difference {
    String bcodmo_name "amino_conc";
    String description "Significant difference; The significant differences between fractions for each zone are indicated with differenent letters (a b and c); Cases with no letters indicate no significant differences within the zones sampled.";
    String long_name "Source AA Phe Significant Difference";
    String units "per mil";
  }
  metabAA_Thr {
    Float32 _FillValue NaN;
    Float32 actual_range -16.7, -9.8;
    String bcodmo_name "amino_conc";
    String description "Threonine d15N value";
    String long_name "Metab AA Thr";
    String units "per mil";
  }
  metabAA_Thr_significant_difference {
    String bcodmo_name "amino_conc";
    String description "Significant difference; The significant differences between fractions for each zone are indicated with differenent letters (a b and c); Cases with no letters indicate no significant differences within the zones sampled.";
    String long_name "Metab AA Thr Significant Difference";
    String units "per mil";
  }
  CSI_AA_TP {
    Float32 _FillValue NaN;
    Float32 actual_range 1.8, 2.5;
    String bcodmo_name "unknown";
    String description "Trophic Position";
    String long_name "CSI AA TP";
    String units "unitless";
  }
  CSI_AA_TP_significant_difference {
    String bcodmo_name "unknown";
    String description "Significant difference; The significant differences between fractions for each zone are indicated with differenent letters (a b and c); Cases with no letters indicate no significant differences within the zones sampled.";
    String long_name "CSI AA TP Significant Difference";
    String units "unitless";
  }
  CSI_AA_sigmaV {
    Float32 _FillValue NaN;
    Float32 actual_range 1.1, 1.8;
    String bcodmo_name "unknown";
    String description "CSIAA Degradation Parameter";
    String long_name "CSI AA Sigma V";
    String units "unitless";
  }
  CSI_AA_sigmaV_significant_difference {
    String bcodmo_name "unknown";
    String description "Significant difference; The significant differences between fractions for each zone are indicated with differenent letters (a b and c); Cases with no letters indicate no significant differences within the zones sampled.";
    String long_name "CSI AA Sigma V Significant Difference";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"Sampling
 
Plankton samples were obtained during Leg 8 of the Malaspina-2010 expedition
on R/V Sarmiento de Gamboa (January-March 2011), on a transect predominantly
along 24\\u00baN, between the Canary Island and Florida. Briefly, plankton
samples were collected by vertical tows of a microplankton net (40 \\u00b5m
mesh size) and a mesoplankton net (200 \\u00b5m mesh size) through the upper
200 m of the water column. Sampling was between 10:00 and 16:00 h GMT.
Plankton was separated into five size fractions (40\\u2013200, 200\\u2013500,
500\\u20131000, 1000\\u20132000 and 2000 \\u00b5m) by gentle filtration of the
samples by a graded series of nylon sieves (2000, 1000, 500, 200 and 40
\\u00b5m). Large gelatinous organisms were removed before filtration. Aliquots
for each size fraction were collected on pre-weighed glass-fiber filters,
dried (60\\u00baC, 48 h) and stored in a desiccator before determination of
biomass (dry weight), carbon and nitrogen content and natural abundance of
stable carbon and nitrogen isotopes ashore. Nominal values of the individual
size of organisms in each size fraction were estimated as the geometric mean
of the values defining each size interval and expressed as carbon content
(\\u00b5g C) in a logarithmic scale
 
Bulk \\u03b415N analysis
 
After determination of dry weight, finely ground aliquots of each size
fraction were packed in tin capsules for elemental and stable isotope analysis
by conversion into CO2 and N2 in an elemental analyzer (Carlo Erba CHNSO 1108)
coupled to an isotope-ratio mass-spectrometer (Finnigan Mat Delta Plus).
 
Compound-specific amino acid \\u03b415N analysis
 
Samples for CSI-AA were selected to span gradients in 15Nbulk values.
We\\u00a0chose plankton from four sampling stations in each of the three zones
(eastern, central and western regions).\\u00a0 Individual samples were then
pooled (quantitatively, so that each subsample was represented equally in the
final composite) to have enough material in each size fraction for CSI-AA. In
total 15 samples in the transect were chosen for CSI-AA. Approximately 1 mg of
total dry plankton material was then hydrolyzed for subsequent analysis.
 
The \\u03b415N values of individual AAs were measured via GC-IRMS, after 6 N
HCl acid hydrolysis and the formation of TFA ester derivatives following
previously published methods.\\u00a0 Briefly, amino acids were liberated by
hydrolysis (6 N HCl, 20 hr at 110uC) under nitrogen, and TFA derivatives
subsequently prepared from free AA: isopropyl esters were made with a 1:5
mixture of Acetyl Chloride (AcCl):2-propanol (110uC, 60 minutes), and then
acylated using a 1:3 mixture of Dichloromethane:Trifluroacetyl acetate
(DCM:TFAA) (100uC, 15 minutes). Derivatized AAs were dissolved in DCM to a
final ratio of approximately 2 mg of original dry sample to 250 ml DCM. After
derivatization, samples were analyzed by a thermos Trace Ultra gas
chromatograph coupled to a Finnegan Delta-Plus isotope ratio mass spectrometer
(GC-IRMS). AAs were separated using a 50 m, 0.32 ID Hewlett Packard Ultra-1
column with 1 mm film thickness.\\u00a0 AAs were measured based on n = 4
injections, and the average mean deviations for individual AA d15N
measurements across all sample replicates was 0.5%.
 
Under these conditions, we determined \\u03b415N values for 12 AAs: glutamic
acid + glutamine (Glx), aspartic acid + asparagine (Asp), alanine (Ala),
Isoleucine (Ile), Leucine (Leu), Proline (Pro), valine (Val), glycine (Gly),
serine (Ser), Lysine (Lys), phenylalanine (Phe), and Threonine (Thr). Each AA
was run four times on the GC-IRMS..\\u00a0 AA values were categorized and
presented in 3 groups, based on their relative 15N values changes with trophic
transfer: the source AAs (Gly, Ser, Lys, Phe), the trophic AAs (Glx, Asp, Ala,
Ile, Leu, Pro and Val), and one \\u201cmetabolic\\u201d AA (Thr).
 
Trophic position and \\u03a3V\\u00a0
 
To calculate CSI-AA based TP of plankton we used the most widely used current
equation and TEF value, based on the isotopic offset between Glx and Phe:
 
TP\\u00a0 = (\\u03b415NGlx \\u2013 \\u03b415NPhe \\u2013 3.4)/7.6 +1
 
where \\u03b415NGlx and \\u03b415NPhe are measured values, +3.4\\u2030 is the
assumed isotopic difference between the Glx and Phe in primary producers, and
+7.6\\u2030 is the assumed 15N enrichment in Glx relative to Phe with each
trophic transfer from food source to consumer (TEF value). The standard errors
in the estimation of TP, computed by propagation of analytical error in the
individual AA determinations, did not exceed 0.1 TP.
 
The \\u03b415N value of total hydrolysable AAs (\\u03b415NTHAA) is used as a
proxy for total protein \\u03b415N value, and was estimated as the molar-
weighted average of individual \\u03b415N values:
 
\\u03b415NTHAA = \\u03a3 (\\u03b415NAA * mol% AA)
 
where \\u03b415NAA is the \\u03b415N value of each individual AA measured and
mol%AA is the molar percentage contribution of each AA. In our study we used
the \\u03b415N value of each individual AA and mol%AA were obtained from Lehman
(2009).
 
The degradation index \\u03a3V is a measure of the relative resynthesis of the
original autotrophic AA pool in detritus or different organisms (plankton size
fractions, in our case) was for each size individual fraction sample as the
mean deviation of \\u03b415N of individual trophic amino acid, from their
average:
 
\\u03a3V\\u00a0 = \\u03a3 (AAi \\u2013 Avg trp) / n
 
Where AAi were individual \\u03b415N amino acid values, Avg trp is the average
value and n the total number of trophic amino acids.";
    String awards_0_award_nid "704683";
    String awards_0_award_number "OCE-1131816";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1131816";
    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 "Candace O. Major";
    String awards_0_program_manager_nid "51690";
    String cdm_data_type "Other";
    String comment 
"Plankton data 
  M. McCarthy, PI 
  Version 14 September 2017";
    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 "2017-09-29T21:01:19Z";
    String date_modified "2019-03-19T17:02:57Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.715977.1";
    String history 
"2024-11-21T08:32:50Z (local files)
2024-11-21T08:32:50Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_715977.html";
    String infoUrl "https://www.bco-dmo.org/dataset/715977";
    String institution "BCO-DMO";
    String instruments_0_acronym "IR Mass Spec";
    String instruments_0_dataset_instrument_description "Used with PDZ Europa ANCA-GSL elemental analyzer";
    String instruments_0_dataset_instrument_nid "715989";
    String instruments_0_description "The Isotope-ratio Mass Spectrometer is a particular type of mass spectrometer used to measure the relative abundance of isotopes in a given sample (e.g. VG Prism II Isotope Ratio Mass-Spectrometer).";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB16/";
    String instruments_0_instrument_name "Isotope-ratio Mass Spectrometer";
    String instruments_0_instrument_nid "469";
    String instruments_0_supplied_name "PDZ Europa 20-20 isotope ratio mass spectrometer";
    String instruments_1_acronym "IR Mass Spec";
    String instruments_1_dataset_instrument_description "Used with Thermo Trace GOLD GC";
    String instruments_1_dataset_instrument_nid "715990";
    String instruments_1_description "The Isotope-ratio Mass Spectrometer is a particular type of mass spectrometer used to measure the relative abundance of isotopes in a given sample (e.g. VG Prism II Isotope Ratio Mass-Spectrometer).";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB16/";
    String instruments_1_instrument_name "Isotope-ratio Mass Spectrometer";
    String instruments_1_instrument_nid "469";
    String instruments_1_supplied_name "MAT 253 isotope ratio mass spectrometer (IRMS)";
    String instruments_2_acronym "Water Temp Sensor";
    String instruments_2_dataset_instrument_description "Used to measure temperature";
    String instruments_2_dataset_instrument_nid "715985";
    String instruments_2_description "General term for an instrument that measures the temperature of the water with which it is in contact (thermometer).";
    String instruments_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/134/";
    String instruments_2_instrument_name "Water Temperature Sensor";
    String instruments_2_instrument_nid "647";
    String instruments_2_supplied_name "Water Temperature Sensor";
    String instruments_3_acronym "Gas Chromatograph";
    String instruments_3_dataset_instrument_description "Used with MAT 253 isotope ratio mass spectrometer (IRMS) via a GC-III combustion (C) interface (Thermo-Finnigan Corporation)";
    String instruments_3_dataset_instrument_nid "715988";
    String instruments_3_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_3_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB02/";
    String instruments_3_instrument_name "Gas Chromatograph";
    String instruments_3_instrument_nid "661";
    String instruments_3_supplied_name "Thermo Trace GOLD GC";
    String instruments_4_acronym "pH Sensor";
    String instruments_4_dataset_instrument_description "Used to measure pH";
    String instruments_4_dataset_instrument_nid "715984";
    String instruments_4_description "General term for an instrument that measures the pH or how acidic or basic a solution is.";
    String instruments_4_instrument_name "pH Sensor";
    String instruments_4_instrument_nid "674";
    String instruments_4_supplied_name "pH sensor";
    String instruments_5_acronym "Light Meter";
    String instruments_5_dataset_instrument_description "Used to measure irradiance";
    String instruments_5_dataset_instrument_nid "715983";
    String instruments_5_description "Light meters are instruments that measure light intensity. Common units of measure for light intensity are umol/m2/s or uE/m2/s (micromoles per meter squared per second or microEinsteins per meter squared per second). (example: LI-COR 250A)";
    String instruments_5_instrument_name "Light Meter";
    String instruments_5_instrument_nid "703";
    String instruments_5_supplied_name "Light meter";
    String instruments_6_acronym "Salinity Sensor";
    String instruments_6_dataset_instrument_description "Used to measure salinity";
    String instruments_6_dataset_instrument_nid "715986";
    String instruments_6_description "Category of instrument that simultaneously measures electrical conductivity and temperature in the water column to provide temperature and salinity data.";
    String instruments_6_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/350/";
    String instruments_6_instrument_name "Salinity Sensor";
    String instruments_6_instrument_nid "710";
    String instruments_6_supplied_name "Salinity sensor";
    String instruments_7_dataset_instrument_description "Interfaced to a PDZ Europa 20-20 isotope ratio mass spectrometer (Sercon Ltd., Cheshire, UK)";
    String instruments_7_dataset_instrument_nid "715987";
    String instruments_7_description "Instruments that quantify carbon, nitrogen and sometimes other elements by combusting the sample at very high temperature and assaying the resulting gaseous oxides. Usually used for samples including organic material.";
    String instruments_7_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB01/";
    String instruments_7_instrument_name "Elemental Analyzer";
    String instruments_7_instrument_nid "546339";
    String instruments_7_supplied_name "PDZ Europa ANCA-GSL elemental analyzer";
    String keywords "ala, asp, bco, bco-dmo, biological, bulk, Bulk_15N, Bulk_15N_significant_difference, chemical, csi, CSI_AA_sigmaV, CSI_AA_sigmaV_significant_difference, CSI_AA_TP, CSI_AA_TP_significant_difference, data, dataset, difference, dmo, erddap, fraction, glx, gly, ile, leu, lys, management, metab, metabAA_Thr, metabAA_Thr_significant_difference, oceanography, office, phe, plankton, plankton_size_fraction, preliminary, pro, ser, sigma, significant, size, source, sourceAA_Gly, sourceAA_Gly_significant_difference, sourceAA_Lys, sourceAA_Lys_significant_difference, sourceAA_Phe, sourceAA_Phe_significant_difference, sourceAA_Ser, sourceAA_Ser_significant_difference, thr, trophic, trophicAA_Ala, trophicAA_Ala_significant_difference, trophicAA_Asp, trophicAA_Asp_significant_difference, trophicAA_Glx, trophicAA_Glx_significant_difference, trophicAA_Ile, trophicAA_Ile_significant_difference, trophicAA_Leu, trophicAA_Leu_significant_difference, trophicAA_Pro, trophicAA_Pro_significant_difference, trophicAA_Val, trophicAA_Val_significant_difference, v, val, zone";
    String license "https://www.bco-dmo.org/dataset/715977/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/715977";
    String param_mapping "{'715977': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/715977/parameters";
    String people_0_affiliation "University of California-Santa Cruz";
    String people_0_affiliation_acronym "UC Santa Cruz";
    String people_0_person_name "Matthew D. McCarthy";
    String people_0_person_nid "557245";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Woods Hole Oceanographic Institution";
    String people_1_affiliation_acronym "WHOI BCO-DMO";
    String people_1_person_name "Hannah Ake";
    String people_1_person_nid "650173";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "Amino Acid Sediment 15N";
    String projects_0_acronym "Amino Acid Sediment 15N";
    String projects_0_description 
"The bioavailability of nutrients plays a crucial role in oceanic biological productivity, the carbon cycle, and climate change. The global ocean inventory of nitrogen (N) is determined by the balance of N-fixation (sources) and denitrification (sinks). In this three-year project, a researcher from the University of California, Santa Cruz, will focus on developing compound-specific N isotope (d15N) analysis of amino acids as a new tool for understanding N source and transformation of organic matter in paleo-reservoirs. The offsets in the isotopic ratios of individual amino acid groups may yield information about trophic transfer, heterotrophic microbial reworking, and autotrophic versus heterotrophic sources. By measuring and comparing the bulk and amino acid d15N in size-fractioned samples from plankton tows, sediments traps, and multi-cores in oxic and suboxic depositional environments, the researcher will: (1) Provide a proxy of the d15N of average exported photoautotrophic organic matter; and (2) Provide a new level of detail into sedimentary organic N degradation and preservation.
Broader impacts:
This project will improve understanding of the fundamental underpinnings and behaviors of d15N amino acid patterns and how they behave in contrasting sedimentary environments, while also developing a potential paleoceanographic proxy. Funding will support a graduate student and undergraduate research at the institution. The researcher will also conduct community outreach in the form of a workshop/tutorial on the proxy development.";
    String projects_0_end_date "2016-09";
    String projects_0_geolocation "California Margin , Santa Barbara Basin , CA current system,  Eastern Tropical Pacific";
    String projects_0_name "The Use of Nitrogen Isotopes of Amino Acids To Understand Marine Sedimentary 15N Records";
    String projects_0_project_nid "704684";
    String projects_0_start_date "2011-10";
    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 subsetVariables "CSI_AA_sigmaV_significant_difference";
    String summary "Mean d15N of individual amino acids and bulk organic matter for five plankton size fractions from R/V Sarmiento de Gamboa Malaspina_2011 in the Subtropical North Atlantic Ocean from January to March 2011";
    String title "[Atlantic ZooPlankton AA 15N values] - Mean d15N of individual amino acids and bulk organic matter for five plankton size fractions (The Use of Nitrogen Isotopes of Amino Acids To Understand Marine Sedimentary 15N Records)";
    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
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
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 2.22
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