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Dataset Title:	Results from Optimum Multiparameter Water Mass Analysis (OMPA) obtained using temperature, salinity, nutrient, and oxygen data from R/V Thomas G. Thompson cruise TN303 in the Eastern Tropical Pacific from October to December 2013
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_713003)
Range:	longitude = -152.0 to -77.38°E, latitude = -16.0 to -10.25°N, depth = 15.1 to 5505.2m, time = 2013-10-29T01:56:00.00Z to 2013-12-18T04:49:00.00Z
Information:	Summary \| License \| ISO 19115 \| Metadata \| Background \| Subset \| Data Access Form \| Files
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  cruise_id {
    String bcodmo_name "cruise_id";
    String description "Cruise identification";
    String long_name "Cruise Id";
    String units "unitless";
  }
  GEOTRC_INSTR {
    String bcodmo_name "instrument";
    String description "Sampling instrument; added from BCO-DMO EPZT master data file";
    String long_name "GEOTRC INSTR";
    String units "unitless";
  }
  STNNBR {
    Byte _FillValue 127;
    Byte actual_range 1, 36;
    String bcodmo_name "station";
    String description "Station number";
    String long_name "STNNBR";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range -16.0, -10.25;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Station latitude (south is negative)";
    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 -152.0, -77.38;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Station longitude (west is negative)";
    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";
  }
  GEOTRC_SAMPNO {
    Int16 _FillValue 32767;
    Int16 actual_range 2071, 10454;
    String bcodmo_name "sample";
    String description "Unique GEOTRACES sample number";
    String long_name "GEOTRC SAMPNO";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  GEOTRC_EVENTNO {
    Int16 _FillValue 32767;
    Int16 actual_range 4012, 4474;
    String bcodmo_name "event";
    String description "GEOTRACES event number; added from BCO-DMO EPZT master data file";
    String long_name "GEOTRC EVENTNO";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/EVTAGFL/";
    String units "unitless";
  }
  CASTNO {
    Byte _FillValue 127;
    Byte actual_range 1, 17;
    String bcodmo_name "cast";
    String description "Cast number; added from BCO-DMO EPZT master data file";
    String long_name "CASTNO";
    String units "unitless";
  }
  CTDPRS {
    Float32 _FillValue NaN;
    Float32 actual_range 15.2, 5609.2;
    String bcodmo_name "pressure";
    String description "CTD pressure; added from BCO-DMO EPZT master data file";
    String long_name "CTDPRS";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PRESPR01/";
    String units "decibars (db)";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 15.1, 5505.2;
    String axis "Z";
    String bcodmo_name "depth";
    String description "CTD bottle firing depth; added from BCO-DMO EPZT master data file";
    String ioos_category "Location";
    String long_name "CTDDEPTH";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  SAMPNO {
    Byte _FillValue 127;
    Byte actual_range 1, 12;
    String bcodmo_name "bottle";
    String description "Sequential sample number within the cast (usually corresponds to bottle number); added from BCO-DMO EPZT master data file";
    String long_name "SAMPNO";
    String units "unitless";
  }
  BTLNBR {
    String bcodmo_name "bottle";
    String description "Bottle number; typically 1-24; added from BCO-DMO EPZT master data file";
    String long_name "BTLNBR";
    String units "unitless";
  }
  BTLNBR_FLAG_W {
    Byte _FillValue 127;
    Byte actual_range 2, 4;
    String bcodmo_name "flag";
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String description "Bottle number quality flag; follows WOCE conventions. 2 = no problems noted; 3 = leaking; 4 = did not trip correctly; 9 = samples not drawn from this bottle. Added from BCO-DMO EPZT master data file";
    String long_name "BTLNBR FLAG W";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.38301176e+9, 1.38734214e+9;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "Date and time, formatted to the ISO 8601 standard, at the time of bottle firing. Format: YYYY-MM-DDTHH:MM:SS[.xx]Z";
    String ioos_category "Time";
    String long_name "BTL ISO DATETIME UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String source_name "BTL_ISO_DATETIME_UTC";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00.00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  BTL_LAT {
    Float32 _FillValue NaN;
    Float32 actual_range -16.0006, -10.25;
    String bcodmo_name "latitude";
    String description "Latitude of bottle firing; north is positive. Added from BCO-DMO EPZT master data file";
    String long_name "BTL LAT";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String units "decimal degrees";
  }
  BTL_LON {
    Float32 _FillValue NaN;
    Float32 actual_range -152.0006, -77.3761;
    String bcodmo_name "longitude";
    String description "Lonitude of bottle firing; east is positive. Added from BCO-DMO EPZT master data file";
    String long_name "BTL LON";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String units "decimal degrees";
  }
  ESSW_PCT {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 160.6;
    String bcodmo_name "unknown";
    String description "the amount of Equatorial Subsurface Water in a sample, in units of percent";
    String long_name "ESSW PCT";
    String units "percent (%)";
  }
  ESSW_UNCT {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 64.7;
    String bcodmo_name "unknown";
    String description "the uncertainty in the percent of Equatorial Subsurface Water, in units of percent";
    String long_name "ESSW UNCT";
    String units "percent (%)";
  }
  ESSW_STN {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 7.9;
    String bcodmo_name "unknown";
    String description "the signal to noise ratio for Equatorial Subsurface Water";
    String long_name "ESSW STN";
    String units "dimensionless";
  }
  ESPIW_PCT {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 61.9;
    String bcodmo_name "unknown";
    String description "the amount of Eastern South Pacific Intermediate Water, in units of percent";
    String long_name "ESPIW PCT";
    String units "percent (%)";
  }
  ESPIW_UNCT {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 35.1;
    String bcodmo_name "unknown";
    String description "the uncertainty of Eastern South Pacific Intermediate Water, in units of percent";
    String long_name "ESPIW UNCT";
    String units "percent (%)";
  }
  ESPIW_STN {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 4.2;
    String bcodmo_name "unknown";
    String description "the signal to noise ratio of Eastern South Pacific Intermediate Water";
    String long_name "ESPIW STN";
    String units "dimensionless";
  }
  SPCW_PCT {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 60.7;
    String bcodmo_name "unknown";
    String description "the amount of South Pacific Central Water in a sample, in units of percent";
    String long_name "SPCW PCT";
    String units "percent (%)";
  }
  SPCW_UNCT {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 29.0;
    String bcodmo_name "unknown";
    String description "the uncertainty in South Pacific Central Water, in units of percent";
    String long_name "SPCW UNCT";
    String units "percent (%)";
  }
  SPCW_STN {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 3.4;
    String bcodmo_name "unknown";
    String description "the signal to nose ratio of South Pacific Central Water";
    String long_name "SPCW STN";
    String units "dimensionless";
  }
  AAIW_PCT {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 53.0;
    String bcodmo_name "unknown";
    String description "the amount of Antarctic Intermediate Water in a sample, in units of percent";
    String long_name "AAIW PCT";
    String units "percent (%)";
  }
  AAIW_UNCT {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 22.3;
    String bcodmo_name "unknown";
    String description "the uncertainty of Antarctic Intermediate Water, in units of percent";
    String long_name "AAIW UNCT";
    String units "percent (%)";
  }
  AAIW_STN {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 2.7;
    String bcodmo_name "unknown";
    String description "the signal to noise ratio of Antarctic Intermediate Water";
    String long_name "AAIW STN";
    String units "dimensionless";
  }
  EQPIW_PCT {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 113.8;
    String bcodmo_name "unknown";
    String description "the amount of Equatorial Pacific Intermediate Water in a sample, in units of percent";
    String long_name "EQPIW PCT";
    String units "percent (%)";
  }
  EQPIW_UNCT {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 23.4;
    String bcodmo_name "unknown";
    String description "the uncertainty in Equatorial Pacific Intermediate Water, in units of percent";
    String long_name "EQPIW UNCT";
    String units "percent (%)";
  }
  EQPIW_STN {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 4.9;
    String bcodmo_name "unknown";
    String description "the signal to noise ratio of Equatorial Pacific Intermediate Water";
    String long_name "EQPIW STN";
    String units "dimensionless";
  }
  UCDW_PCT {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 48.1;
    String bcodmo_name "unknown";
    String description "the amount of Upper Circumpolar Deep Water in a sample, in units of percent";
    String long_name "UCDW PCT";
    String units "percent (%)";
  }
  UCDW_UNCT {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 25.5;
    String bcodmo_name "unknown";
    String description "the uncertainty of Upper Circumpolar Deep Water,  in units of percent";
    String long_name "UCDW UNCT";
    String units "percent (%)";
  }
  UCDW_STN {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 2.2;
    String bcodmo_name "unknown";
    String description "the signal to noise ratio of Upper Circumpolar Deep Water";
    String long_name "UCDW STN";
    String units "dimensionless";
  }
  PDW_PCT {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 82.0;
    String bcodmo_name "unknown";
    String description "the amount of Pacific Deep Water in a sample, in units of percent";
    String long_name "PDW PCT";
    String units "percent (%)";
  }
  PDW_UNCT {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 27.6;
    String bcodmo_name "unknown";
    String description "the uncertainty of Pacific Deep Water, in units of percent";
    String long_name "PDW UNCT";
    String units "percent (%)";
  }
  PDW_STN {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 4.6;
    String bcodmo_name "unknown";
    String description "the signal to noise ratio in Pacific Deep Water";
    String long_name "PDW STN";
    String units "dimensionless";
  }
  LCDW_PCT {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 47.7;
    String bcodmo_name "unknown";
    String description "the amount of Lower Circumpolar Deep Water in a sample, in units of percent";
    String long_name "LCDW PCT";
    String units "percent (%)";
  }
  LCDW_UNCT {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 27.5;
    String bcodmo_name "unknown";
    String description "the uncertainty of Lower Circumpolar Deep Water, in units of percent";
    String long_name "LCDW UNCT";
    String units "percent (%)";
  }
  LCDW_STN {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 1.9;
    String bcodmo_name "unknown";
    String description "the signal to noise ratio in Lowe Circumpolar Deep Water";
    String long_name "LCDW STN";
    String units "dimensionless";
  }
  AABW_PCT {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 52.4;
    String bcodmo_name "unknown";
    String description "the amount of Antarctic Bottom Water in a sample, in units of percent";
    String long_name "AABW PCT";
    String units "percent (%)";
  }
  AABW_UNCT {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 25.3;
    String bcodmo_name "unknown";
    String description "the uncertainty of Antarctic Bottom Water, in units of percent";
    String long_name "AABW UNCT";
    String units "percent (%)";
  }
  AABW_STN {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 2.1;
    String bcodmo_name "unknown";
    String description "the signal to noise ratio in Antarctic Bottom Water";
    String long_name "AABW STN";
    String units "dimensionless";
  }
  total {
    Float32 _FillValue NaN;
    Float32 actual_range 100.0, 190.9;
    String bcodmo_name "unknown";
    String description "Sum of percentages for the sample";
    String long_name "Total";
    String units "percent (%)";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"We use the Optimum Multiparameter Analysis (OMPA) method to determine water
mass percentages along the GP16 transect. This involves the use of
hydrographic measurements from GP16 (temperature, salinity, oxygen, and
nutrients), which can be found in a separate BCO-DMO dataset (see [CTD - ODF
Bottle](\\\\\"https://www.bco-dmo.org/dataset/503145\\\\\")). For samples having
potential density anomalies greater than 27 kg m-3, the OMPA was conducted
according to the procedure outlined by Tomczak (1981), Tomczak and Large
(1989), and others. For samples in the thermocline, defined as those samples
having densities between 26 and 27, we use the 'thermocline array' method to
determine the water mass fractions, according to the procedure outlined by
Jenkins et al. (2015). Samples having densities less than 26 kg m-3 were not
included in the water mass analysis. The uncertainty in water mass percentage
is calculated using a Monte Carlo routine, where the defined properties of
each water mass are varied to encompass the reported range of properties in
that water mass. Lastly, the signal to noise ratio is calculated by dividing
the percentage of given water mass in a each sample by the uncertainty of that
water mass.";
    String awards_0_award_nid "502594";
    String awards_0_award_number "OCE-1130870";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=1130870&HistoricalAwards=false";
    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 "650089";
    String awards_1_award_number "OCE-1233339";
    String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=1233339";
    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 awards_2_award_nid "663603";
    String awards_2_award_number "OCE-1232991";
    String awards_2_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1232991";
    String awards_2_funder_name "NSF Division of Ocean Sciences";
    String awards_2_funding_acronym "NSF OCE";
    String awards_2_funding_source_nid "355";
    String awards_2_program_manager "Henrietta N Edmonds";
    String awards_2_program_manager_nid "51517";
    String awards_3_award_nid "713011";
    String awards_3_award_number "OCE-1130245";
    String awards_3_data_url "https://www.nsf.gov/awardsearch/showAward?AWD_ID=1130245";
    String awards_3_funder_name "NSF Division of Ocean Sciences";
    String awards_3_funding_acronym "NSF OCE";
    String awards_3_funding_source_nid "355";
    String awards_3_program_manager "Henrietta N Edmonds";
    String awards_3_program_manager_nid "51517";
    String awards_4_award_nid "713016";
    String awards_4_award_number "OCE-1233028";
    String awards_4_data_url "https://www.nsf.gov/awardsearch/showAward?AWD_ID=1233028";
    String awards_4_funder_name "NSF Division of Ocean Sciences";
    String awards_4_funding_acronym "NSF OCE";
    String awards_4_funding_source_nid "355";
    String awards_4_program_manager "Henrietta N Edmonds";
    String awards_4_program_manager_nid "51517";
    String cdm_data_type "Other";
    String comment 
"Water Mass Percentages for GP16  
 PI: Karen Casciotti (Stanford University) 
 Co-PIs: William Jenkins (WHOI), James Swift (UCSD), Christopher German (WHOI),  
         James Moffett (USC), Gregory Cutter (ODU), & Mark Brzezinski (UCSB) 
 Version: 17 August 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 dataset_current_state "Final and no updates";
    String date_created "2017-08-17T19:24:02Z";
    String date_modified "2020-07-23T15:27:29Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.26008/1912/bco-dmo.713003.1";
    Float64 Easternmost_Easting -77.38;
    Float64 geospatial_lat_max -10.25;
    Float64 geospatial_lat_min -16.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -77.38;
    Float64 geospatial_lon_min -152.0;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 5505.2;
    Float64 geospatial_vertical_min 15.1;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-04-16T05:00:56Z (local files)
2024-04-16T05:00:56Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_713003.das";
    String infoUrl "https://www.bco-dmo.org/dataset/713003";
    String institution "BCO-DMO";
    String instruments_0_acronym "Niskin bottle";
    String instruments_0_dataset_instrument_nid "714095";
    String instruments_0_description "A Niskin bottle (a next generation water sampler based on the Nansen bottle) is a cylindrical, non-metallic water collection device with stoppers at both ends. The bottles can be attached individually on a hydrowire or deployed in 12, 24, or 36 bottle Rosette systems mounted on a frame and combined with a CTD. Niskin bottles are used to collect discrete water samples for a range of measurements including pigments, nutrients, plankton, etc.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0412/";
    String instruments_0_instrument_name "Niskin bottle";
    String instruments_0_instrument_nid "413";
    String instruments_1_acronym "CTD SBE 911plus";
    String instruments_1_dataset_instrument_nid "714094";
    String instruments_1_description "The Sea-Bird SBE 911plus is a type of CTD instrument package for continuous measurement of conductivity, temperature and pressure.  The SBE 911plus includes the SBE 9plus Underwater Unit and the SBE 11plus Deck Unit (for real-time readout using conductive wire) for deployment from a vessel. The combination of the SBE 9plus and SBE 11plus is called a SBE 911plus.  The SBE 9plus uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3plus and SBE 4). The SBE 9plus CTD can be configured with up to eight auxiliary sensors to measure other parameters including dissolved oxygen, pH, turbidity, fluorescence, light (PAR), light transmission, etc.). more information from Sea-Bird Electronics";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0058/";
    String instruments_1_instrument_name "CTD Sea-Bird SBE 911plus";
    String instruments_1_instrument_nid "591";
    String keywords "aabw, AABW_PCT, AABW_STN, AABW_UNCT, aaiw, AAIW_PCT, AAIW_STN, AAIW_UNCT, bco, bco-dmo, biological, btl, BTL_LAT, BTL_LON, btlnbr, BTLNBR_FLAG_W, castno, chemical, cruise, cruise_id, ctddepth, ctdprs, data, dataset, datetime, dmo, eqpiw, EQPIW_PCT, EQPIW_STN, EQPIW_UNCT, erddap, espiw, ESPIW_PCT, ESPIW_STN, ESPIW_UNCT, essw, ESSW_PCT, ESSW_STN, ESSW_UNCT, eventno, flag, geotrc, GEOTRC_EVENTNO, GEOTRC_INSTR, GEOTRC_SAMPNO, instr, iso, latitude, lcdw, LCDW_PCT, LCDW_STN, LCDW_UNCT, longitude, management, oceanography, office, pct, pdw, PDW_PCT, PDW_STN, PDW_UNCT, preliminary, sampno, spcw, SPCW_PCT, SPCW_STN, SPCW_UNCT, stn, stnnbr, time, total, ucdw, UCDW_PCT, UCDW_STN, UCDW_UNCT, unct, w";
    String license "https://www.bco-dmo.org/dataset/713003/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/713003";
    Float64 Northernmost_Northing -10.25;
    String param_mapping "{'713003': {'BTL_ISO_DATETIME_UTC': 'flag - time', 'LONGITUDE': 'flag - longitude', 'CTDDEPTH': 'flag - depth', 'LATITUDE': 'flag - latitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/713003/parameters";
    String people_0_affiliation "Stanford University";
    String people_0_person_name "Karen L. Casciotti";
    String people_0_person_nid "50980";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of California-Santa Barbara";
    String people_1_affiliation_acronym "UCSB";
    String people_1_person_name "Mark A. Brzezinski";
    String people_1_person_nid "50663";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Old Dominion University";
    String people_2_affiliation_acronym "ODU";
    String people_2_person_name "Gregory Cutter";
    String people_2_person_nid "50679";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI";
    String people_3_person_name "Christopher R. German";
    String people_3_person_nid "51700";
    String people_3_role "Co-Principal Investigator";
    String people_3_role_type "originator";
    String people_4_affiliation "Woods Hole Oceanographic Institution";
    String people_4_affiliation_acronym "WHOI";
    String people_4_person_name "William J. Jenkins";
    String people_4_person_nid "50745";
    String people_4_role "Co-Principal Investigator";
    String people_4_role_type "originator";
    String people_5_affiliation "University of Southern California";
    String people_5_affiliation_acronym "USC";
    String people_5_person_name "James W. Moffett";
    String people_5_person_nid "50800";
    String people_5_role "Co-Principal Investigator";
    String people_5_role_type "originator";
    String people_6_affiliation "University of California-San Diego";
    String people_6_affiliation_acronym "UCSD-SIO";
    String people_6_person_name "James H. Swift";
    String people_6_person_nid "50861";
    String people_6_role "Co-Principal Investigator";
    String people_6_role_type "originator";
    String people_7_affiliation "Woods Hole Oceanographic Institution";
    String people_7_affiliation_acronym "WHOI BCO-DMO";
    String people_7_person_name "Shannon Rauch";
    String people_7_person_nid "51498";
    String people_7_role "BCO-DMO Data Manager";
    String people_7_role_type "related";
    String project "U.S. GEOTRACES EPZT,EPZT Nitrogen Isotopes,EPZT Noble Gases He Tritium";
    String projects_0_acronym "U.S. GEOTRACES EPZT";
    String projects_0_description 
"From the NSF Award Abstract
The mission of the International GEOTRACES Program (www.geotraces.org), of which the U.S. chemical oceanography research community is a founding member, is \"to identify processes and quantify fluxes that control the distributions of key trace elements and isotopes in the ocean, and to establish the sensitivity of these distributions to changing environmental conditions\" (GEOTRACES Science Plan, 2006). In the United States, ocean chemists are currently in the process of organizing a zonal transect in the eastern tropical South Pacific (ETSP) from Peru to Tahiti as the second cruise of the U.S.GEOTRACES Program. This Pacific section includes a large area characterized by high rates of primary production and particle export in the eastern boundary associated with the Peru Upwelling, a large oxygen minimum zone that is a major global sink for fixed nitrogen, and a large hydrothermal plume arising from the East Pacific Rise. This particular section was selected as a result of open planning workshops in 2007 and 2008, with a final recommendation made by the U.S.GEOTRACES Steering Committee in 2009. It is the first part of a two-stage plan that will include a meridional section of the Pacific from Tahiti to Alaska as a subsequent expedition.
This award provides funding for management of the U.S.GEOTRACES Pacific campaign to a team of scientists from the University of Southern California, Old Dominion University, and the Woods Hole Oceanographic Institution. The three co-leaders will provide mission leadership, essential support services, and management structure for acquiring the trace elements and isotopes samples listed as core parameters in the International GEOTRACES Science Plan, plus hydrographic and nutrient data needed by participating investigators. With this support from NSF, the management team will (1) plan and coordinate the 52-day Pacific research cruise described above; (2) obtain representative samples for a wide variety of trace metals of interest using conventional CTD/rosette and GEOTRACES Sampling Systems; (3) acquire conventional JGOFS/WOCE-quality hydrographic data (CTD, transmissometer, fluorometer, oxygen sensor, etc) along with discrete samples for salinity, dissolved oxygen (to 1 uM detection limits), plant pigments, redox tracers such as ammonium and nitrite, and dissolved nutrients at micro- and nanomolar levels; (4) ensure that proper QA/QC protocols are followed and reported, as well as fulfilling all GEOTRACES Intercalibration protocols; (5) prepare and deliver all hydrographic-type data to the GEOTRACES Data Center (and US data centers); and (6) coordinate cruise communications between all participating investigators, including preparation of a hydrographic report/publication.
Broader Impacts: The project is part of an international collaborative program that has forged strong partnerships in the intercalibration and implementation phases that are unprecedented in chemical oceanography. The science product of these collective missions will enhance our ability to understand how to interpret the chemical composition of the ocean, and interpret how climate change will affect ocean chemistry. Partnerships include contributions to the infrastructure of developing nations with overlapping interests in the study area, in this case Peru. There is a strong educational component to the program, with many Ph.D. students carrying out thesis research within the program.
Figure 1. The 2013 GEOTRACES EPZT Cruise Track. [click on the image to view a larger version]";
    String projects_0_end_date "2015-06";
    String projects_0_geolocation "Eastern Tropical Pacific - Transect from Peru to Tahiti";
    String projects_0_name "U.S. GEOTRACES East Pacific Zonal Transect";
    String projects_0_project_nid "499723";
    String projects_0_project_website "http://www.geotraces.org/";
    String projects_0_start_date "2012-06";
    String projects_1_acronym "EPZT Nitrogen Isotopes";
    String projects_1_description 
"Description from NSF award abstract:
Nitrogen (N) is an essential macronutrient whose availability can limit primary production and the capacity of the biological pump to export carbon from the surface ocean on seasonal, annual, decadal, and millennial timescales. The inventory of fixed (bioavailable) N in the ocean is driven by biological processes such as nitrogen fixation, denitrification, and anaerobic ammonia oxidation (anammox). Water column oxygen deficient zones (ODZs) are important sites for fixed N loss, as well as N2O production, and they are projected to expand and intensify in the coming years as global warming increases ocean stratification and decreases ventilation. It is important to understand the distribution of nitrate, nitrite, and N2O isotopes in relation to current ocean conditions of oxygen and trace element availability order to interpret past and future changes in nitrate signals.
In this project, a team of researchers from Stanford University, University of Massachusetts at Dartmouth, and Brown University will measure the nitrogen- and oxygen-isotopic composition (del15N and del18O) of nitrate, nitrite, and nitrous oxide in seawater samples collected along the GEOTRACES Pacific Peru-Tahiti Section. Values of del15N and del18O will also be measured in nitrate from aerosol and rain samples to inform our interpretation of the N isotope budget and isotopic gradients within the tropical South Pacific. Finally, N2/Ar and N2 del15N will be determined to close the N mass and isotope budgets. Nitrate del15N is a GEOTRACES \"core parameter\" that will complement other measurements, such as bioactive trace element concentrations and speciation, Si isotope variations, as well as redox and productivity proxies.
The GEOTRACES Peru-Tahiti section provides a rare opportunity to track the fate of the isotopic signals of N loss from one of the largest water column ODZs. Furthermore, little is known about the effect of N recycling through hydrothermal vents on nitrate isotopes in the deep ocean, and this section will allow quantitative tracking of this input. Together, these measurements will yield insight into the relative rates of modern N cycle processes and will provide background information for paleoceanographic applications.";
    String projects_1_end_date "2017-02";
    String projects_1_geolocation "East Pacific Zonal Transect";
    String projects_1_name "GEOTRACES Peru-Tahiti Nitrogen Isotope Measurements";
    String projects_1_project_nid "650090";
    String projects_1_start_date "2013-03";
    String projects_2_acronym "EPZT Noble Gases He Tritium";
    String projects_2_description 
"The biogeochemical cycling of trace elements and isotopes (TEIs) in the marine environment is an important research area within the context of global change that motivates the International GEOTRACES program. Some trace elements are known to play potentially important roles as micronutrients in biological cycling, particularly in regard to enzymatic and catalytic processes in the marine environment. Radioisotopes, transient tracers, and noble gases are valuable tracers of these and related processes, and of the ocean?s interaction with the atmosphere and the solid earth, which in turn play a role in shaping many trace element distributions within the ocean.
According to the GEOTRACES Science Plan, the guiding mission of the GEOTRACES program is \"to identify processes and quantify fluxes that control the distributions of key trace elements and isotopes in the ocean\". The key observational strategy for GEOTRACES is an internationally-coordinated global-scale ocean survey of key TEIs. The second US GEOTRACES section, set for the Eastern South Pacific in 2013, is aimed at the characterization of key processes in an oxygen minimum zone (OMZ), as well as a major abyssal hydrothermal plume extending westward from the East Pacific Rise.
To help achieve these goals, with support from this grant, a research team at the Woods Hole Oceanographic Institution will collaborate with other GEOTRACES investigators on the Eastern South Pacific expedition to measure a suite of tracers useful for interpreting the rest of the synoptic TEI data. Specifically, the team will make measurements of the noble gases, helium isotopes, tritium, and radiocarbon include in order to: (1) quantify ventilation, circulation, and diapycnal mixing in the OMZ to enable estimation of fluxes and transformation rates of key TEIs; (2) determine upwelling rates in the oxygen minimum zone (OMZ) over a range of timescales to constrain the fluxes of biogeochemically important properties; (3) estimate hydrothermal fluxes of key TEIs using 3He as a flux gauge, and also use 3He as a measure of downstream dilution in the hydrothermal plume; (4) use radiocarbon to estimate abyssal remineralization rates for key TEIs; and (5) probe for evidence of off-axis contribution of hydrothermal processes to TEI distribution. The collective effort will allow marine geochemists to understand mechanistically and quantitatively how a variety of physical, chemical, and biological processes join to determine the distribtuion of TEIs in the ocean.
It has been argued that anthropogenic influence on the global cycles of many elements is emerging as significant. As outlined in the International GEOTRACES Science Plan, the broader impacts of this activity include both an important \"baseline snapshot\" of the biogeochemical state of the oceanic environment, and a quantitative improvement in the characterization and understanding of important processes in the marine environment. Both of these build a foundation for improved models and quantitative predictions of the oceanic response and role in global change and climate, particularly with anthropogenic forcing. For example, recent evidence of \"ocean deoxygenation\" has profound implications for marine biologic response. In particular, the evolving state of marine OMZs represents an important biogeochemical \"climate canary\". A key benefit of diagnosing trace metal dynamics and response to changing redox conditions is the improvement in prognostic capabilities of coupled ocean-atmosphere biogeochemical models for global change.";
    String projects_2_end_date "2016-12";
    String projects_2_geolocation "Oxygen minium zone; East Pacific Rise";
    String projects_2_name "Measurement of Helium Isotopes, Tritium, Noble Gases, and Radiocarbon";
    String projects_2_project_nid "663604";
    String projects_2_start_date "2013-01";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -16.0;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "cruise_id,GEOTRC_INSTR";
    String summary "Results from Optimum Multiparameter Water Mass Analysis (OMPA) obtained using temperature, salinity, nutrient, and oxygen data from R/V Thomas G. Thompson cruise TN303 in the Eastern Tropical Pacific from October to December 2013.";
    String time_coverage_end "2013-12-18T04:49:00.00Z";
    String time_coverage_start "2013-10-29T01:56:00.00Z";
    String title "Results from Optimum Multiparameter Water Mass Analysis (OMPA) obtained using temperature, salinity, nutrient, and oxygen data from R/V Thomas G. Thompson cruise TN303 in the Eastern Tropical Pacific from October to December 2013";
    String version "1";
    Float64 Westernmost_Easting -152.0;
    String xml_source "osprey2erddap.update_xml() v1.5";
  }
}
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.
(easy) You can get data by using the dataset's Data Access Form or Subset form. They make the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.
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.