BCO-DMO ERDDAP
Accessing BCO-DMO data

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Dataset Title:	[Dissolved trace metals and macronutrients from a 2014 IRNBRU cruise Surface Data] - Dissolved trace metals and macronutrients from samples collected using a tow-fish system on R/V Melville MV1405 (IRN-BRU) cruise in the California Current System in July 2014 (Accomplishment Based Renewal: An iron limitation mosaic within the central California Current System)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_943015_v1)
Range:	longitude = -127.1993 to -123.5954°E, latitude = 37.6695 to 42.8684°N, time = 2014-07-07T15:48:25Z to 2014-07-21T01:49:25Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| 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:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.404748105e+9, 1.405907365e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Date_time_iso_utc";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 37.6695, 42.8684;
    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 -127.1993, -123.5954;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Transect_number {
    String long_name "Transect_number";
    String units "unitless";
  }
  Nitrate {
    Float32 actual_range 0.05, 19.97;
    String long_name "Nitrate";
    String units "umol/kg";
  }
  Phosphate {
    Float32 actual_range 0.29, 1.78;
    String long_name "Phosphate";
    String units "umol/kg";
  }
  Silicate {
    Float32 actual_range 0.81, 22.79;
    String long_name "Silicate";
    String units "umol/kg";
  }
  Fe {
    Float32 actual_range 0.01, 1.36;
    String long_name "Fe";
    String units "nmol/kg";
  }
  Y {
    Float32 actual_range 76.0, 126.0;
    String long_name "Y";
    String units "pmol/kg";
  }
  Cd {
    Float32 actual_range 10.0, 569.0;
    String long_name "Cd";
    String units "pmol/kg";
  }
  La {
    Float32 actual_range 10.9, 23.8;
    String long_name "La";
    String units "pmol/kg";
  }
  Pb {
    Float32 actual_range 13.4, 40.0;
    String long_name "Pb";
    String units "pmol/kg";
  }
  Ce {
    Float32 actual_range 4.6, 27.0;
    String long_name "Ce";
    String units "pmol/kg";
  }
  Sc {
    Float32 actual_range 0.13, 3.06;
    String long_name "Sc";
    String units "pmol/kg";
  }
  Mn {
    Float32 actual_range 1.21, 4.93;
    String long_name "Mn";
    String units "nmol/kg";
  }
  Co {
    Float32 actual_range 44.0, 178.0;
    String long_name "Co";
    String units "pmol/kg";
  }
  Ni {
    Float32 actual_range 3.39, 5.31;
    String long_name "Ni";
    String units "nmol/kg";
  }
  Cu {
    Float32 actual_range 0.98, 1.55;
    String long_name "Cu";
    String units "nmol/kg";
  }
  Zn {
    Float32 actual_range 0.02, 0.72;
    String long_name "Zn";
    String units "nmol/kg";
  }
  Ga {
    Float32 actual_range -0.01, 4.85;
    String long_name "Ga";
    String units "pmol/kg";
  }
 }
  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.943015.1";
    Float64 Easternmost_Easting -123.5954;
    Float64 geospatial_lat_max 42.8684;
    Float64 geospatial_lat_min 37.6695;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -123.5954;
    Float64 geospatial_lon_min -127.1993;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-12-27T18:07:30Z (local files)
2024-12-27T18:07:30Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_943015_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/943015";
    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 42.8684;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 37.6695;
    String summary "This dataset is a suite of dissolved trace metal concentrations, along with macronutrient concentrations collected using a trace-metal clean towed-fish system on R/V Melville cruise MV1405 (IRN-BRU) while investigating the mosaic of the California Current System in July 2014. This dataset includes samples from transects 2, 5, 8, and 9. Transect 2 started at station 2 (an active upwelling site nearshore over the shelf in northern California; see related datasets) and followed the upwelled plume offshore. Transect 5 went through the eddy stations (stations 9, 12, and 15; see related datasets). Transects 8 and 9 went through the plume measured in station 28 (a more aged upwelling site offshore of the shelf break in southern Oregon; see related datasets). The chief scientist of the cruise was Ken Bruland. Trace metal samples were analyzed by Claire Till (nee Parker) as his graduate student. Nutrient samples were analyzed by Tyler Coale. See related datasets for depth profile samples using a regular rosette (macronutrient concentrations) and teflon-coated GoFlos (macronutrient and dissolved trace metal concentrations) collected on MV1405.";
    String time_coverage_end "2014-07-21T01:49:25Z";
    String time_coverage_start "2014-07-07T15:48:25Z";
    String title "[Dissolved trace metals and macronutrients from a 2014 IRNBRU cruise Surface Data] - Dissolved trace metals and macronutrients from samples collected using a tow-fish system on R/V Melville MV1405 (IRN-BRU) cruise in the California Current System in July 2014 (Accomplishment Based Renewal:   An iron limitation mosaic within the central California Current System)";
    Float64 Westernmost_Easting -127.1993;
  }
}

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.

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