BCO-DMO ERDDAP
Accessing BCO-DMO data
log in    
Brought to you by BCO-DMO    

ERDDAP > tabledap > Data Access Form ?

Dataset Title:  [Barium-isotopic profile IrnBru] - Barium concentration and isotopic data
collected along the California Coastline during July 2014 from R/V Melville
cruise MV1405 (U.S. GEOTRACES Pacific Meridional Transect: Tracing Basin-scale
Nutrient Cycling and Carbon Export with Dissolved and Particulate Barium-
isotopic Distributions)
Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_770447)
Information:  Summary ? | License ? | FGDC | 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 ?
 
 Event (unitless) ?          31    42
 Station (unitless) ?          "12"    "12b"
 latitude (degrees_north) ?          38.99    39.001
  < slider >
 longitude (degrees_east) ?          -125.75    -125.746
  < slider >
 depth (m) ?          15.0    1500.0
  < slider >
 bottle_rosette (unitless) ?          1    17
 Ba_D_CONC_BOTTLE (nanomoles per kilogram (nmol/kg)) ?          39.89    127.22
 Ba_D_CONC_BOTTLE_stdev (nmol/kg) ?          0.5    1.59
 Ba_D_CONC_BOTTLE_FLAG (unitless) ?          2    3
 Ba_138_134_D_DELTA_BOTTLE (per mil deviation rel. to NIST SRM 3104a) ?          0.297    0.571
 Ba_138_134_D_DELTA_BOTTLE_stdev (per mil) ?          0.015    0.035
 Ba_138_134_D_DELTA_BOTTLE_FLAG (unitless) ?      
   - +  ?
 Notes (unitless) ?          "NaN"    "See Problem Report"
 
Server-side Functions ?
 distinct() ?
? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")

File type: (more information)

(Documentation / Bypass this form ? )
 
(Please be patient. It may take a while to get the data.)


 

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Event {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 31, 42;
    String bcodmo_name "event";
    String description "Event number";
    String long_name "Event";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/EVTAGFL/";
    String units "unitless";
  }
  Station {
    String bcodmo_name "station";
    String description "Station number";
    String long_name "Station";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 38.99, 39.001;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude (positive values = North)";
    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 -125.75, -125.746;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude (negative values = West)";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String source_name "long";
    String standard_name "longitude";
    String units "degrees_east";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 15.0, 1500.0;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Sample depth";
    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";
  }
  bottle_rosette {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 17;
    String bcodmo_name "bottle";
    String description "Bottle number from rosette";
    String long_name "Bottle Rosette";
    String units "unitless";
  }
  Ba_D_CONC_BOTTLE {
    Float32 _FillValue NaN;
    Float32 actual_range 39.89, 127.22;
    String bcodmo_name "Ba";
    String description "Dissolved Ba (barium) concentration";
    String long_name "Ba D CONC BOTTLE";
    String units "nanomoles per kilogram (nmol/kg)";
  }
  Ba_D_CONC_BOTTLE_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 0.5, 1.59;
    String bcodmo_name "Ba";
    String description "One-sigma uncertainty about the barium concentration";
    String long_name "Ba D CONC BOTTLE Stdev";
    String units "nmol/kg";
  }
  Ba_D_CONC_BOTTLE_FLAG {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 2, 3;
    String bcodmo_name "q_flag";
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String description "ODV quality flag for Ba_D_CONC_BOTTLE";
    String long_name "Ba D CONC BOTTLE FLAG";
    String units "unitless";
  }
  Ba_138_134_D_DELTA_BOTTLE {
    Float32 _FillValue NaN;
    Float32 actual_range 0.297, 0.571;
    String bcodmo_name "Ba";
    String description "Dissolved Ba-isotopic composition";
    String long_name "Ba 138 134 D DELTA BOTTLE";
    String units "per mil deviation rel. to NIST SRM 3104a";
  }
  Ba_138_134_D_DELTA_BOTTLE_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 0.015, 0.035;
    String bcodmo_name "Ba";
    String description "One-sigma uncertainty about the dissolved Ba-isotopic composition";
    String long_name "Ba 138 134 D DELTA BOTTLE Stdev";
    String units "per mil";
  }
  Ba_138_134_D_DELTA_BOTTLE_FLAG {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 2, 2;
    String bcodmo_name "q_flag";
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String description "ODV quality flag for Ba_138_134_D_DELTA_BOTTLE";
    String long_name "Ba 138 134 D DELTA BOTTLE FLAG";
    String units "unitless";
  }
  Notes {
    String bcodmo_name "comment";
    String description "Any concerns or issues";
    String long_name "Notes";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Samples were collected using GO-FLO Teflon Trace Metal Bottles, filtered to
0.2 \\u03bcm or 0.45 \\u03bcm (depending on filter type), acidified to pH \\u2248
2 with hydrochloric acid, and stored for several years prior to processing.
Aliquots containing five milliliters of seawater were cleanly subsampled from
each sample, weighed, and an appropriate quantity of 136Ba\\u2013135Ba double
spike added. Following spike\\u2013sample equilibration, barium was co-
precipitated with calcium carbonate via dropwise addition of sodium carbonate.
The resultant precipitate was dissolved in hydrochloric acid and twice passed
through cation-exchange columns to purify Ba from matrix elements.
 
Samples were aspirated, desolvated, and analyzed using a 100 \\u03bcL/min
nebulizer, Aridus II desolvation system, and ThermoFisher Neptune multi-
collector ICP-MS, respectively. All instrumentation was sitated at the WHOI
Plasma Facility. Barium-isotopic compositions were calculated from
simultaneous monitoring of ion beams corresponding to m/z 131 (Xe, xenon), 135
(Ba), 136 (Xe; Ba; Ce, cerium), 137 (Ba), 138 (Ba; La, lanthanum; Ce), 139
(La) and 140 (Ce).
 
Problem Report:  
 Sample from 1,000 m (Event #42; St. 12b) has an asymmetric uncertainty due
to possible evaporative losses;\\u00a0positive uncertainty is +1.4 nmol/kg,
whereas negative uncertainty is \\u22126.3 nmol/kg (both are one standard
deviation).";
    String awards_0_award_nid "770289";
    String awards_0_award_number "OCE-1736949";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1736949";
    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 cdm_data_type "Other";
    String comment 
"Barium concentration and isotopic data  
   collected along the California Coastline in 2014 (MV1405) 
  PI: Tristan Horner (WHOI) 
  Version date: 10  June 2019 
   Quality flags follow ODV scheme:  
   1=Good value; 2=Probably good value; 3=Probably bad value; 6=Value below detection limit";
    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 "2019-06-10T20:16:48Z";
    String date_modified "2019-08-06T17:59:42Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.770447.1";
    Float64 Easternmost_Easting -125.746;
    Float64 geospatial_lat_max 39.001;
    Float64 geospatial_lat_min 38.99;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -125.746;
    Float64 geospatial_lon_min -125.75;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 1500.0;
    Float64 geospatial_vertical_min 15.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-23T17:02:55Z (local files)
2024-11-23T17:02:55Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_770447.html";
    String infoUrl "https://www.bco-dmo.org/dataset/770447";
    String institution "BCO-DMO";
    String instruments_0_acronym "ICP Mass Spec";
    String instruments_0_dataset_instrument_nid "770531";
    String instruments_0_description "An ICP Mass Spec is an instrument that passes nebulized samples into an inductively-coupled gas plasma (8-10000 K) where they are atomized and ionized. Ions of specific mass-to-charge ratios are quantified in a quadrupole mass spectrometer.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB15/";
    String instruments_0_instrument_name "Inductively Coupled Plasma Mass Spectrometer";
    String instruments_0_instrument_nid "530";
    String instruments_0_supplied_name "ThermoFisher Neptune multi-collector ICP-MS";
    String instruments_1_acronym "GO-FLO Teflon TM";
    String instruments_1_dataset_instrument_nid "770532";
    String instruments_1_description "GO-FLO Teflon-lined Trace Metal free sampling bottles are used for collecting water samples for trace metal, nutrient and pigment analysis. The GO-FLO sampling bottle is designed specifically to avoid sample contamination at the surface, internal spring contamination, loss of sample on deck (internal seals), and exchange of water from different depths.";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/30/";
    String instruments_1_instrument_name "GO-FLO Teflon Trace Metal Bottle";
    String instruments_1_instrument_nid "533";
    String instruments_1_supplied_name "GO-FLO Teflon Trace Metal Bottle";
    String keywords "Ba_138_134_D_DELTA_BOTTLE, Ba_138_134_D_DELTA_BOTTLE_FLAG, Ba_138_134_D_DELTA_BOTTLE_stdev, Ba_D_CONC_BOTTLE, Ba_D_CONC_BOTTLE_FLAG, Ba_D_CONC_BOTTLE_stdev, bco, bco-dmo, biological, bottle, bottle_rosette, chemical, conc, data, dataset, delta, depth, deviation, dmo, erddap, event, flag, latitude, longitude, management, notes, oceanography, office, preliminary, rosette, standard, standard deviation, station, stdev";
    String license "https://www.bco-dmo.org/dataset/770447/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/770447";
    Float64 Northernmost_Northing 39.001;
    String param_mapping "{'770447': {'lat': 'flag - latitude', 'Depth': 'flag - depth', 'long': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/770447/parameters";
    String people_0_affiliation "Woods Hole Oceanographic Institution";
    String people_0_affiliation_acronym "WHOI";
    String people_0_person_name "Tristan J. Horner";
    String people_0_person_nid "680928";
    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 "Shannon Rauch";
    String people_1_person_nid "51498";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "GEOTRACES PMT Barium";
    String projects_0_acronym "GEOTRACES PMT Barium";
    String projects_0_description 
"NSF Award Abstract:
The goal of the international GEOTRACES program is to understand the distributions of trace chemical elements and their isotopes in the oceans. This project would measure stable isotopes of barium on a 2018 U.S. GEOTRACES expedition in the Pacific Ocean. Barium is a trace element whose distribution is relevant to all three themes of the GEOTRACES program, as barium can be used to: study chemical cycling within the oceans; trace exchanges of elements at ocean boundaries; and infer past environmental conditions. The data collected here will be the first of their kind for barium isotopes and will illuminate the geochemical cycle of this element. Moreover, conducting this work as part of the GEOTRACES program will maximize the return on investment in the barium isotope data by providing a rich interpretative framework.
This project seeks to understand how the interplay between internal cycling and boundary processes sets basin-scale barium concentration and isotopic distributions in the Pacific Ocean. Despite possessing a nutrient-like dissolved profile, marine barium cycling has a fundamentally different boundary condition to the major algal nutrients: barium cycling is not driven by production of organic matter but rather by its remineralization. Respiration of sinking organic matter in the ocean's 'twilight zone' releases carbon dioxide, mineralizes nutrients, and promotes precipitation of micron-size crystals of barite. Since barite is the major vector of particulate barium in seawater, the abundance and isotopic composition of barium in the oceans is tied to global carbon and nutrient cycling at the 'dark end' of the biological carbon pump. The data collected here will be used to test hypotheses across an unprecedented range of oceanographic conditions regarding: the formation, export, and regeneration of particulate material and the connection to seafloor processes; the importance of boundary sources to regional and global trace element and isotope budgets; the formation of putative soft-metal sulfides in oxygen-minimum zones; and the origin of enigmatic suspended particles in the deep open ocean. This proposal will contribute to education by training undergraduate research fellows and through presentation of seminars and guest lectures to regional science educators through collaboration with a regional conservation organization.";
    String projects_0_end_date "2020-12";
    String projects_0_name "U.S. GEOTRACES Pacific Meridional Transect: Tracing Basin-scale Nutrient Cycling and Carbon Export with Dissolved and Particulate Barium-isotopic Distributions";
    String projects_0_project_nid "770290";
    String projects_0_start_date "2018-01";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 38.99;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "Ba_138_134_D_DELTA_BOTTLE_FLAG";
    String summary "Barium concentration and isotopic data collected along the California Coastline during July 2014 from R/V Melville cruise MV1405.";
    String title "[Barium-isotopic profile IrnBru] - Barium concentration and isotopic data collected along the California Coastline during July 2014 from R/V Melville cruise MV1405 (U.S. GEOTRACES Pacific Meridional Transect: Tracing Basin-scale Nutrient Cycling and Carbon Export with Dissolved and Particulate Barium-isotopic Distributions)";
    String version "1";
    Float64 Westernmost_Easting -125.75;
    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
Disclaimers | Privacy Policy | Contact