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Dataset Title:  [GP17-OCE iron organic ligand distributions] - Solid phase extracted (SPE)
metal distributions collected on the US GEOTRACES GP17-OCE cruise on R/V Roger
Revelle (RR2214) in the South Pacific and Southern Oceans from December 2022 to
January 2023 (US GEOTRACES GP17 Section: South Pacific and Southern Ocean (GP17-
OCE))
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_993613_v1)
Range: longitude = -152.0003 to -75.09718°E, latitude = -67.00026 to -19.89478°N, depth = 3.0 to 1500.1m, time = 2022-12-03T20:59:00Z to 2023-01-24T02:26:00Z
Information:  Summary ? | License ? | FGDC | ISO 19115 | 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 {
  Station {
    Int32 actual_range 1, 38;
    String long_name "Station";
    String units "unitless";
  }
  GEOTRACES_ID {
    Int32 actual_range 15907, 18750;
    String long_name "Geotraces_id";
    String units "unitless";
  }
  Cast {
    Int32 actual_range 1, 10;
    String long_name "Cast";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.67010114e+9, 1.67452716e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Start_iso_datetime_utc";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  Start_Date {
    String long_name "Start_date";
    String units "unitless";
  }
  Start_Time {
    String long_name "Start_time";
    String units "unitless";
  }
  Event {
    String long_name "Event";
    String units "unitless";
  }
  Seafloor {
    Int32 actual_range 91, 5636;
    String long_name "Seafloor";
    String units "meter (m)";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -67.00026, -19.89478;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -152.0003, -75.09718;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 3.0, 1500.1;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  TotalFeLigands_56_DSPEENV_CONC_BOTTLE {
    Float32 actual_range -1.61102e-4, 0.2048636;
    String long_name "Totalfeligands_56_dspeenv_conc_bottle";
    String units "nanomole per litre (nM)";
  }
  HydrophilicFeLigands_56_DSPEENV_CONC_BOTTLE {
    Float32 actual_range -1.61102e-4, 0.06118705;
    String long_name "Hydrophilicfeligands_56_dspeenv_conc_bottle";
    String units "nanomole per litre (nM)";
  }
  IntermediateFeLigands_56_DSPEENV_CONC_BOTTLE {
    Float32 actual_range -1.87673e-4, 0.1026801;
    String long_name "Intermediatefeligands_56_dspeenv_conc_bottle";
    String units "nanomole per litre (nM)";
  }
  HydrophobicFeLigands_56_DSPEENV_CONC_BOTTLE {
    Float32 actual_range -1.87673e-4, 0.0573407;
    String long_name "Hydrophobicfeligands_56_dspeenv_conc_bottle";
    String units "nanomole per litre (nM)";
  }
  TotalIodine_127_DSPEENV_CONC_BOTTLE {
    Float32 actual_range 0.08000933, 10.58089;
    String long_name "Totaliodine_127_dspeenv_conc_bottle";
    String units "nanomole per litre (nM)";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_url "https://www.bco-dmo.org/";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.26008/1912/bco-dmo.993613.1";
    Float64 Easternmost_Easting -75.09718;
    Float64 geospatial_lat_max -19.89478;
    Float64 geospatial_lat_min -67.00026;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -75.09718;
    Float64 geospatial_lon_min -152.0003;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 1500.1;
    Float64 geospatial_vertical_min 3.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2026-02-13T04:29:22Z (local files)
2026-02-13T04:29:22Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_993613_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/993613";
    String institution "BCO-DMO";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    Float64 Northernmost_Northing -19.89478;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -67.00026;
    String summary "Molecular speciation affects the solubility, bioavailability, toxicity, scavenging and regeneration rates, and water column residence times of trace elements in the ocean. The molecular speciation of trace elements is what microbes \"sense\" and respond to. Here, we report the molecular speciation of iron and iodine in water samples collected as part of the US GEOTRACES GP17 expedition from Tahiti to Punta Areanas, Chile. Dissolved organic matter in filtered seawater was recovered by solid phase extraction onto hydrophobic resins, and recovered with organic solvent. Trace element organic complexes were characterized and quantified by liquid chromatography coupled to inductively coupled mass spectrometry.";
    String time_coverage_end "2023-01-24T02:26:00Z";
    String time_coverage_start "2022-12-03T20:59:00Z";
    String title "[GP17-OCE iron organic ligand distributions] - Solid phase extracted (SPE) metal distributions collected on the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214) in the South Pacific and Southern Oceans from December 2022 to January 2023 (US GEOTRACES GP17 Section: South Pacific and Southern Ocean (GP17-OCE))";
    Float64 Westernmost_Easting -152.0003;
  }
}

 

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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