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Dataset Title:  Size fractionated zooplankton C:N, d13C, and d15N from the EXPORTS cruise on R/
V Roger Revelle (RR1813) during August and September 2018
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_772776)
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 ?
 
 Cruise (unitless) ?      
   - +  ?
 R2R_Event (unitless) ?          "RR1813-SE-20180821..."    "RR1813-SE-20180907..."
 latitude (degrees_north) ?          50.316924    50.509713
  < slider >
 longitude (degrees_east) ?          -145.09737    -144.626667
  < slider >
 Date (unitless) ?          20180821    20180907
 time2 (Time, unitless) ?          "19:03:35"    "6:30:48"
 time (ISO Date Time UTC, UTC) ?          2018-08-21T19:46:38Z    2018-09-07T03:33:30Z
  < slider >
 MOCNESS_Tow (unitless) ?          43    133
 DayNight (unitless) ?          "Day"    "Night"
 MOCNESS_Net (unitless) ?          2    10
 depth (m) ?          50.0    1000.0
  < slider >
 DepthInterval_min (Depth, meters) ?          0    750
 VolFilt (cubic meters) ?          803.5    3709.3
 SizeFraction_min (micrometers (um)) ?          200    5000
 SizeFraction_max (micrometers (um)) ?          500    5000
 SampleWeight (milligrams (mg)) ?          0.45    0.614
 N (micrograms (ug)) ?          10.2    54.1
 d15N (permil (‰) vs AIR) ?          3.4    9.5
 C (micrograms (ug)) ?          61.0    267.3
 d13C (per mil (‰) vs VPDB) ?          -26.5    -20.4
 C_to_N (mol/mol) ?          4.4    9.2
 
Server-side Functions ?
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Cruise {
    String bcodmo_name "cruise_id";
    String description "Cruise designation";
    String long_name "Cruise";
    String units "unitless";
  }
  R2R_Event {
    String bcodmo_name "event";
    String description "R2R event number";
    String long_name "R2 R Event";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/EVTAGFL/";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 50.316924, 50.509713;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude in degrees and decimal minutes N";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -145.09737, -144.626667;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude in degrees and decimal minutes W";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Date {
    Int32 _FillValue 2147483647;
    Int32 actual_range 20180821, 20180907;
    String bcodmo_name "date";
    String description "Sampling date: YYYYMMDD (UTC)";
    String long_name "Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String units "unitless";
  }
  time2 {
    String bcodmo_name "time";
    String description "Sampling time: deployment of net HH:MM:SS (UTC)";
    String long_name "Time";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.534880798e+9, 1.53629121e+9;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "Date and time formatted to ISO8601 standard. Format: yyyy-mm-ddTHH:MM:SS.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";
  }
  MOCNESS_Tow {
    Int16 _FillValue 32767;
    Int16 actual_range 43, 133;
    String bcodmo_name "tow";
    String description "Shipboard MOCNESS tow designation";
    String long_name "MOCNESS Tow";
    String units "unitless";
  }
  DayNight {
    String bcodmo_name "time_of_day";
    String description "Indicates day or night tow";
    String long_name "Day Night";
    String units "unitless";
  }
  MOCNESS_Net {
    Byte _FillValue 127;
    Byte actual_range 2, 10;
    String bcodmo_name "net";
    String description "MOCNESS net number (of 10 nets)";
    String long_name "MOCNESS Net";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 50.0, 1000.0;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "maximum depth of sample";
    String ioos_category "Location";
    String long_name "Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  DepthInterval_min {
    Int16 _FillValue 32767;
    Int16 actual_range 0, 750;
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "minimum depth of sample";
    String long_name "Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String standard_name "depth";
    String units "meters";
  }
  VolFilt {
    Float32 _FillValue NaN;
    Float32 actual_range 803.5, 3709.3;
    String bcodmo_name "vol_filt";
    String description "volume of water filtered";
    String long_name "Vol Filt";
    String units "cubic meters";
  }
  SizeFraction_min {
    Int16 _FillValue 32767;
    Int16 actual_range 200, 5000;
    String bcodmo_name "samp_fraction";
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String description "minimum wet sieved size fraction";
    String long_name "Size Fraction Min";
    String units "micrometers (um)";
  }
  SizeFraction_max {
    Int16 _FillValue 32767;
    Int16 actual_range 500, 5000;
    String bcodmo_name "samp_fraction";
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String description "maximum wet sieved size fraction";
    String long_name "Size Fraction Max";
    String units "micrometers (um)";
  }
  SampleWeight {
    Float32 _FillValue NaN;
    Float32 actual_range 0.45, 0.614;
    String bcodmo_name "weight";
    String description "weight of sample analyzed";
    String long_name "Sample Weight";
    String units "milligrams (mg)";
  }
  N {
    Float32 _FillValue NaN;
    Float32 actual_range 10.2, 54.1;
    String bcodmo_name "net";
    String description "nitrogen content of sample";
    String long_name "N";
    String units "micrograms (ug)";
  }
  d15N {
    Float32 _FillValue NaN;
    Float32 actual_range 3.4, 9.5;
    String bcodmo_name "d15N_bio";
    String description "nitrogen isotopic composition of sample";
    String long_name "D15 N";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/IRBO/";
    String units "permil (‰) vs AIR";
  }
  C {
    Float32 _FillValue NaN;
    Float32 actual_range 61.0, 267.3;
    String bcodmo_name "C";
    String description "organic carbon content of sample";
    String long_name "C";
    String units "micrograms (ug)";
  }
  d13C {
    Float32 _FillValue NaN;
    Float32 actual_range -26.5, -20.4;
    String bcodmo_name "d13C_bio";
    String description "carbon isotopic compostion of sample";
    String long_name "D13 C";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/IRBO/";
    String units "per mil (‰) vs VPDB";
  }
  C_to_N {
    Float32 _FillValue NaN;
    Float32 actual_range 4.4, 9.2;
    String bcodmo_name "C_to_N";
    String description "C:N: carbon:nitrogen molar ratio";
    String long_name "C To N";
    String units "mol/mol";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"Zooplankton were collected using a multiple opening-closing net and
environmental sensing system (MOCNESS). Onboard, zooplankton were wet-sieved
in filter seawater using 0.2, 0.5, 1.0, 2.0, and 5.0 mm mesh sieves into
different size fractions and frozen at -20 degrees Celsius. Zooplankton were
dried and each fraction ground using a mortar and pestle. Samples were weighed
into tin capsules and isotope ratios were determined using a Costech elemental
combustion system coupled to an isotope ratio mass spectrometer through a
Conflo-IV interface. For details please see Hannides et al. (2013).";
    String awards_0_award_nid "768319";
    String awards_0_award_number "OCE-1830016";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1830016";
    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 "Henrietta N Edmonds";
    String awards_0_program_manager_nid "51517";
    String awards_1_award_nid "768325";
    String awards_1_award_number "OCE-1829425";
    String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1829425";
    String awards_1_funder_name "NSF Division of Ocean Sciences";
    String awards_1_funding_acronym "NSF OCE";
    String awards_1_funding_source_nid "355";
    String awards_1_program_manager "Henrietta N Edmonds";
    String awards_1_program_manager_nid "51517";
    String cdm_data_type "Other";
    String comment 
"Size fractionated zooplankton C:N, d13C, and d15N 
   from EXPORTS cruise RR1813 
  PI: Brian N. Popp (University of Hawaii) 
  Co-PI: Hilary Close (University of Miami) 
  Version date: 2019-07-11";
    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 "2019-07-11T18:17:24Z";
    String date_modified "2019-07-12T18:05:52Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.772776.1";
    Float64 Easternmost_Easting -144.626667;
    Float64 geospatial_lat_max 50.509713;
    Float64 geospatial_lat_min 50.316924;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -144.626667;
    Float64 geospatial_lon_min -145.09737;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 1000.0;
    Float64 geospatial_vertical_min 50.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-03-28T12:33:15Z (local files)
2024-03-28T12:33:15Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_772776.html";
    String infoUrl "https://www.bco-dmo.org/dataset/772776";
    String institution "BCO-DMO";
    String instruments_0_acronym "MOC1";
    String instruments_0_dataset_instrument_description "Multiple opening-closing net and environmental sensing system (MOCNESS) net with 1 m2 opening using 0.2 mm mesh plankton nets (see Wiebe et al., 1976).";
    String instruments_0_dataset_instrument_nid "772784";
    String instruments_0_description "The Multiple Opening/Closing Net and Environmental Sensing System or MOCNESS is a family of net systems based on the Tucker Trawl principle. The MOCNESS-1 carries nine 1-m2 nets usually of 335 micrometer mesh and is intended for use with the macrozooplankton.  All nets are black to reduce contrast with the background.  A motor/toggle release assembly is mounted on the top portion of the frame and stainless steel cables with swaged fittings are used to attach the net bar to the toggle release.  A stepping motor in a pressure compensated case filled with oil turns the escapement crankshaft of the toggle release which sequentially releases the nets to an open then closed position on command from the surface. -- from the MOCNESS Operations Manual (1999 + 2003).";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/NETT0097/";
    String instruments_0_instrument_name "MOCNESS1";
    String instruments_0_instrument_nid "437";
    String instruments_0_supplied_name "MOCNESS";
    String instruments_1_acronym "IR Mass Spec";
    String instruments_1_dataset_instrument_description "Thermo-Finnigan Delta Plus XP isotope ratio mass spectrometer with Conflo IV interface.";
    String instruments_1_dataset_instrument_nid "772792";
    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 "Thermo-Finnigan Delta Plus XP";
    String instruments_2_dataset_instrument_description "Costech Model 4010 elemental combustion system";
    String instruments_2_dataset_instrument_nid "772791";
    String instruments_2_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_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB01/";
    String instruments_2_instrument_name "Elemental Analyzer";
    String instruments_2_instrument_nid "546339";
    String instruments_2_supplied_name "Costech Model 4010";
    String keywords "bco, bco-dmo, biological, C_to_N, chemical, closing, cruise, d13, d13C, d15, d15N, data, dataset, date, day, DayNight, depth, DepthInterval_max, DepthInterval_min, dmo, environmental, erddap, event, filt, fraction, iso, latitude, longitude, management, max, min, mocness, MOCNESS_Net, MOCNESS_Tow, multiple, net, night, oceanography, office, opening, opening/closing, preliminary, R2R_Event, sample, SampleWeight, sensing, size, SizeFraction_max, SizeFraction_min, system, time, time2, tow, vol, VolFilt, weight";
    String license "https://www.bco-dmo.org/dataset/772776/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/772776";
    Float64 Northernmost_Northing 50.509713;
    String param_mapping "{'772776': {'Latitude': 'flag - latitude', 'DepthInterval_max': 'flag - depth', 'Longitude': 'flag - longitude', 'ISO_DateTime_UTC': 'flag - time'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/772776/parameters";
    String people_0_affiliation "University of Hawaii";
    String people_0_person_name "Brian N. Popp";
    String people_0_person_nid "51093";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of Miami Rosenstiel School of Marine and Atmospheric Science";
    String people_1_affiliation_acronym "UM-RSMAS";
    String people_1_person_name "Hilary G. Close";
    String people_1_person_nid "537128";
    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 "Shannon Rauch";
    String people_2_person_nid "51498";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "EXPORTS Isotopes";
    String projects_0_acronym "EXPORTS Isotopes";
    String projects_0_description 
"NSF abstract:
The biological pump is largely responsible for the vertical transport of organic carbon from the surface to the ocean interior. However, only a small fraction of organic material produced in surface waters is sequestered in the deep ocean. The rest is consumed, or respired, by bacteria and larger organisms. The overarching goal of the proposed work is to characterize the relative influences of bacteria versus larger organisms on the degradation of organic material with depth. Guided by recent results from the subtropical Pacific, the investigators will use measurements of stable isotopes of nitrogen in different amino acids (compound-specific isotopic analysis of amino acids, known as AA-CSIA), along with measurements of the abundances of different forms of amino acids, and other parameters derived from these analyses to identify how the partitioning and flux of large and small particles are affected by different degradation processes. By improving the interpretive power of the AA-CSIA technique the investigators propose to determine: 1) the relative importance of microbial and zooplankton consumption on the efficiency of the biological carbon pump in the subarctic northeast Pacific, and 2) how much microbially-altered small particles fuel the metabolisms of mid-water zooplankton. This work capitalizes on an existing, comprehensive field program (NASA EXPORTS) specifically focused on building a predictive framework relating surface ocean properties to the vertical flux of organic carbon. The tremendous amount of data to be collected on all aspects of the biological pump as part of the EXPORTS program will aid the development and interpretation of the investigators' amino acid isotopic tool. Results will be broadly communicated via production and distribution of several episodes of Voice of the Sea, a local television program that will air in Hawaii and across many Pacific islands. Episodes also will be posted online and publicized through social media to the south Florida community. This project will support a Ph.D. student and an undergraduate student at University of Miami, which serves a 25% Hispanic population, and an M.S. student and an undergraduate student at University of Hawaii, which is a designated minority-serving institution.
The proposed work introduces a new geochemical framework to distinguish microbial versus zooplankton alteration of marine organic matter. Piloted on samples from the subtropical Pacific, this approach interrogates unamended sinking material directly, using amino acid compound-specific isotopic analysis (AA-CSIA) to determine the progressive, cumulative impact of microbial and zooplankton degradative pathways. The proposed work (1) will extend this interpretive framework to explicitly define end-member signatures such as fecal pellets and will apply this refined method to a study site in the subarctic northeast Pacific to (2) determine the vertical progression of degradative mechanisms in an oceanographic location with contrasting productivity and vertical length scales of flux attenuation and (3) determine whether microbially- degraded biomass is important for fueling midwater metazoans under contrasting carbon flux conditions. The proposed work will be conducted in collaboration with the NASA EXPORTS program at the Ocean Station Papa time-series site. Teaming with this program presents a unique opportunity to refine AA-CSIA interpretation in parallel with intensive data collection defining productivity, particle size distribution and flux, and numerous biological parameters. In comparing subtropical and subarctic Pacific locations, the proposed work will test how differences in productivity and plankton community structure influence vertical patterns of consumption and alteration of phytodetritus by microbes and zooplankton, from surface to mesopelagic depths.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.";
    String projects_0_end_date "2021-07";
    String projects_0_geolocation "Station Papa, Northeast Pacific";
    String projects_0_name "Collaborative Research: Isotopic Indicators for Mechanisms of Organic Matter Degradation in the Northeast Pacific (EXPORTS)";
    String projects_0_project_nid "768320";
    String projects_0_project_website "http://oceanexports.org/projects/project_id_0000_close.html";
    String projects_0_start_date "2018-08";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 50.316924;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "Cruise";
    String summary "Size fractionated zooplankton C:N, d13C, and d15N from the EXPORTS cruise on R/V Roger Revelle (RR1813) during August and September 2018. Zooplankton were collected using a multiple opening-closing net and environmental sensing system (MOCNESS).";
    String time_coverage_end "2018-09-07T03:33:30Z";
    String time_coverage_start "2018-08-21T19:46:38Z";
    String title "Size fractionated zooplankton C:N, d13C, and d15N from the EXPORTS cruise on R/V Roger Revelle (RR1813) during August and September 2018";
    String version "1";
    Float64 Westernmost_Easting -145.09737;
    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.


 
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