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Dataset Title:  DIC and del13C-DIC from nine M/S Columbus Waikato cruises between New Zealand
and Long Beach, CA in the Pacific Basin from 2004-2006
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_700907)
Range: longitude = -179.93 to 179.7°E, latitude = -39.11 to 46.4°N, time = 2004-03-03T15:13:00Z to 2005-10-08T06:00:00Z
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form | Files
 
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Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  SIL_cruise_id {
    String bcodmo_name "cruise_id";
    String description "UW Stable Isotope Lab cruise identification";
    String long_name "SIL Cruise Id";
    String units "unitless";
  }
  PMEL_cruise_id {
    String bcodmo_name "cruise_id";
    String description "NOAA Pacific Marine Environmental Lab cruise identification";
    String long_name "PMEL Cruise Id";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.07832678e+9, 1.1287512e+9;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "Date and time (UTC) formatted to ISO8601 standard (yyyy-mm-ddTHH:MM:SSxx)";
    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";
  }
  date {
    String bcodmo_name "date";
    String description "Year, month, and day (UTC) in yyyy-mm-dd format";
    String long_name "Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  time2 {
    String bcodmo_name "time";
    String description "Time (UTC) in HHMM format";
    String long_name "Time";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range -39.11, 46.4;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude; north is positive";
    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 -179.93, 179.7;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude; east is positive";
    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";
  }
  DIC {
    Float32 _FillValue NaN;
    Float32 actual_range 1885.5, 2225.7;
    String bcodmo_name "DIC";
    String description "Dissolved inorganic carbon measured manometrically";
    String long_name "DIC";
    String units "micromoles/kilogram (umol/kg)";
  }
  d13C_DIC {
    Float32 _FillValue NaN;
    Float32 actual_range 1.01, 1.83;
    String bcodmo_name "d13C_DIC";
    String description "Carbon 13 to Carbon 12 ratio of DIC: 1000*[(13C/12C)sample - (13C/12C)standard]/ (13C/12C)standard";
    String long_name "D13 C DIC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/D13CMIBX/";
    String units "per mil";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"Shipboard Sample Collection Methods: Samples were collected in pre-washed and
baked 250 ml ground glass stoppered bottles that were poisoned with 100 ul of
a saturated HgCl2 solution. The stored sealed samples were returned to the
Stable Isotope Laboratory at the University of Washington for extraction and
measurement.
 
Laboratory Methods:\\u00a0CO2 was extracted from the DIC seawater samples using
a modification of the helium stripping technique described in Quay and
Stutsman (2003). The del13C is measured on a Thermo Finnigan MAT 253 mass
spectrometer.";
    String awards_0_award_nid "700867";
    String awards_0_award_number "OCE-0327006";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0327006";
    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 "Donald L. Rice";
    String awards_0_program_manager_nid "51467";
    String awards_1_award_nid "700925";
    String awards_1_award_number "NA17RJ1232";
    String awards_1_funder_name "National Oceanic and Atmospheric Administration";
    String awards_1_funding_acronym "NOAA";
    String awards_1_funding_source_nid "352";
    String cdm_data_type "Other";
    String comment 
"DIC and d13C-DIC 
  from M/S Columbus Waikato cruises 
 PI: Paul Quay (University of Washington) 
 Co-PI: Laurie Juranek (Oregon State University) 
 Version: 25 May 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 "2017-05-24T19:30:16Z";
    String date_modified "2019-08-02T18:48:50Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.700907.1";
    Float64 Easternmost_Easting 179.7;
    Float64 geospatial_lat_max 46.4;
    Float64 geospatial_lat_min -39.11;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.7;
    Float64 geospatial_lon_min -179.93;
    String geospatial_lon_units "degrees_east";
    String history 
"2021-12-04T01:29:42Z (local files)
2021-12-04T01:29:42Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_700907.das";
    String infoUrl "https://www.bco-dmo.org/dataset/700907";
    String institution "BCO-DMO";
    String instruments_0_acronym "IR Mass Spec";
    String instruments_0_dataset_instrument_description "del13C was measured on a Thermo Finnigan MAT 253 mass spectrometer.";
    String instruments_0_dataset_instrument_nid "700923";
    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 "Thermo Finnigan MAT 253 mass spectrometer";
    String keywords "bco, bco-dmo, biological, chemical, cruise, d13, d13C_DIC, data, dataset, date, dic, dmo, environmental, erddap, iso, laboratory, latitude, longitude, management, marine, noaa, oceanography, office, pacific, pmel, PMEL_cruise_id, preliminary, sil, SIL_cruise_id, time, time2";
    String license "https://www.bco-dmo.org/dataset/700907/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/700907";
    Float64 Northernmost_Northing 46.4;
    String param_mapping "{'700907': {'lat': 'master - latitude', 'lon': 'master - longitude', 'ISO_DateTime_UTC': 'master - time'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/700907/parameters";
    String people_0_affiliation "University of Washington";
    String people_0_affiliation_acronym "UW";
    String people_0_person_name "Paul Quay";
    String people_0_person_nid "50590";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Oregon State University";
    String people_1_affiliation_acronym "OSU-CEOAS";
    String people_1_person_name "Laurie Juranek";
    String people_1_person_nid "527926";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "University of Washington";
    String people_2_affiliation_acronym "UW";
    String people_2_person_name "Paul Quay";
    String people_2_person_nid "50590";
    String people_2_role "Contact";
    String people_2_role_type "related";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI BCO-DMO";
    String people_3_person_name "Shannon Rauch";
    String people_3_person_nid "51498";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "13C/12C DIC Time-Series";
    String projects_0_acronym "13C/12C DIC Time-Series";
    String projects_0_description 
"NSF Award Abstract:
The 13C/12C isotopic ratio of dissolved inorganic carbon (DIC) has been shown to be a very useful tracer of anthropogenic CO2 uptake in the ocean (Quay et al., 1992; Heimann and Maier-Reimer, 1996; Sonnerup et al., 2000; Quay et al., 2003). Seasonal changes in the d13C of DIC, coupled with corresponding changes in DIC concentration and pCO2, have been used to close the surface ocean.s carbon budget (Zhang and Quay, 1997; Gruber et al., 1998, Quay and Stutsman, in press). Time- series measurements of d13C, DIC and pCO2, therefore, allow one to separate biological from physical causes for interannual variations in the rate of oceanic CO2 uptake as Gruber et al. (2002) recently demonstrated at BATS. Despite these advantages, there are only two sites in the subtropical N. Atlantic (BATS) and N. Pacific (HOT) oceans where such records exist. This lack of ocean time series records has severely limited our ability to understand the causes of interannual variations in the ocean uptake of anthropogenic CO2 (Quay, 2002). In stark contrast, continuous records of atmospheric CO2 and d13C are being measured at over 100 sites.
In this project, researchers at the University of Washington will initiate monthly d13C measurements at a third time-series site (ESTOC) in the eastern subtropical N. Atlantic. The d13C record at ESTOC, which will complement on-going measurements of DIC, pCO2 and alkalinity at the site, offers a very useful comparison to the BATS d13C record. Gruber et al. (2002) concluded that interannual variations in CO2 uptake at Bermuda correlated strongly with sea surface temperature (SST) and the North Atlantic Oscillation (NAO) index of atmospheric circulation. They used their d13C record at BATS to conclude that interannual variations in the rate of net community production (NCP) correlated with NAO. The researchers of this project intend to use the proposed d13C measurements at ESTOC to calculate NCP and determine whether interannual variations in the eastern subtropical N. Atlantic correlate with variations at Bermuda.
The research team will also continue its program of d13C measurements at HOT. Our decade-long d13C record at HOT shows that the d13C decrease rate in the surface ocean has doubled since 1995. The DIC increase rate has tripled since 1995. However, this apparent acceleration of anthropogenic CO2 uptake and d13C decrease occurred during a period (post 1998) when salinity is the highest ever measured at HOT and summertime SST has decreased significantly. These dramatic changes at HOT correlate with a shift in the Pacific Decadal Oscillation (PDO) climate index in 1998 from positive (since the late 1970s) to negative. This correlation suggests that changes in physical forcing (e.g., thermocline depth, mixed layer depth, gyre circulation rates) in the N. Pacific may have changed the subtropical ocean.s carbon budget. If so, the situation at HOT may be similar to that found by Gruber et al. (2002) at Bermuda. The team intends to use d13C measurements at HOT to determine whether the accelerated DIC increase is a result of changes in the NCP rate at HOT.
The proposed research addresses a major societal issue, that is, how natural variability affects the ocean.s uptake of anthropogenically produced CO2. The largest single human-controlled factor in future climate change is the production of CO2 from fossil fuel combustion and deforestation. The research is expected to yield an ocean d13C data set that will be made available to the broad scientific community and serve as a useful validation test for models predicting future atmospheric CO2 concentrations. The proposed research addresses one of the specific goals of the US Carbon Cycle Science Plan (1999), that is, to better quantify and understand the uptake of anthropogenic CO2 in the oceans. The proposed work enhances infrastructure for research and education in two ways. It establishes collaboration with scientists at the Universidad de Las Palmas in the Grand Canary Islands studying the ocean's carbon cycle. It tests equipment that could be broadly used by the oceanographic community to remotely collect seawater samples for carbon analysis.";
    String projects_0_end_date "2007-09";
    String projects_0_name "Time-Series Measurements of the 13C/12C of Dissolved Inorganic Carbon";
    String projects_0_project_nid "700868";
    String projects_0_start_date "2003-10";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -39.11;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Carbonate chemistry and isotopes from nine M/S Columbus Waikato cruises between New Zealand and Long Beach, CA in the Pacific Basin from 2004-2006. This dataset includes dissolved inorganic carbon (DIC), and del13C-DIC.";
    String time_coverage_end "2005-10-08T06:00:00Z";
    String time_coverage_start "2004-03-03T15:13:00Z";
    String title "DIC and del13C-DIC from nine M/S Columbus Waikato cruises between New Zealand and Long Beach, CA in the Pacific Basin from 2004-2006";
    String version "1";
    Float64 Westernmost_Easting -179.93;
    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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