BCO-DMO ERDDAP
Accessing BCO-DMO data

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Dataset Title:	[GP17-OCE Dissolved Gallium in the South Pacific Ocean] - Dissolved gallium (Ga) from 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))
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_939225_v1)
Range:	longitude = -152.0003 to -75.09712°E, latitude = -67.00022 to -19.99986°N, depth = 3.0 to 5621.2m, time = 2022-12-03T23:12:00Z to 2023-01-24T02:35:00Z
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 {
  Station_ID {
    Int32 actual_range 1, 38;
    String long_name "Station_id";
    String units "unitless";
  }
  Event_ID {
    String long_name "Event_id";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.67010912e+9, 1.6745277e+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_UTC {
    String long_name "Start_date_utc";
    String units "unitless";
  }
  Start_Time_UTC {
    String long_name "Start_time_utc";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -67.00022, -19.99986;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Start_latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -152.0003, -75.09712;
    String axis "X";
    String ioos_category "Location";
    String long_name "Start_longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Rosette_Position {
    String long_name "Rosette_position";
    String units "unitless";
  }
  Sample_ID {
    Int32 actual_range 15907, 18761;
    String long_name "Sample_id";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 3.0, 5621.2;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Sample_depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Ga_D_CONC_BOTTLE_hxhmr3 {
    Float32 actual_range 1.7, 41.2;
    String long_name "Ga_d_conc_bottle_hxhmr3";
    String units "picomoles per kilogram (pmol/kg)";
  }
  SD1_Ga_D_CONC_BOTTLE_hxhmr3 {
    String long_name "Sd1_ga_d_conc_bottle_hxhmr3";
    String units "picomoles per kilogram (pmol/kg)";
  }
  Flag_Ga_D_CONC_BOTTLE_hxhmr3 {
    Int32 actual_range 2, 2;
    String long_name "Flag_ga_d_conc_bottle_hxhmr3";
    String units "unitless";
  }
  Ga_D_CONC_FISH_dhewdf {
    Float32 actual_range 2.0, 14.3;
    String long_name "Ga_d_conc_fish_dhewdf";
    String units "picomoles per kilogram (pmol/kg)";
  }
  SD1_Ga_D_CONC_FISH_dhewdf {
    String long_name "Sd1_ga_d_conc_fish_dhewdf";
    String units "picomoles per kilogram (pmol/kg)";
  }
  Flag_Ga_D_CONC_FISH_dhewdf {
    Int32 actual_range 2, 2;
    String long_name "Flag_ga_d_conc_fish_dhewdf";
    String units "unitless";
  }
 }
  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 doi "10.26008/1912/bco-dmo.939225.1";
    Float64 Easternmost_Easting -75.09712;
    Float64 geospatial_lat_max -19.99986;
    Float64 geospatial_lat_min -67.00022;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -75.09712;
    Float64 geospatial_lon_min -152.0003;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 5621.2;
    Float64 geospatial_vertical_min 3.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-23T17:22:19Z (local files)
2024-11-23T17:22:19Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_939225_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/939225";
    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 -19.99986;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -67.00022;
    String summary "Dissolved gallium (Ga) was determined in association with a US GEOTRACES cruise (GP17-OCE/RR2214) in the South Pacific and Southern Ocean. The cruise sampled formation regions for globally distributed water masses, the return flow of Pacific Deep Water into the Southern Ocean, hydrothermally influenced waters, margin waters, and a gradient of low to high productivity with varying limiting nutrients. The cruise track investigates circulation through the Antarctic Circumpolar Current (ACC) and formation of intermediate waters important for upper ocean nutrient supply. The overall circulation/productivity/export/recycling trap of this region also affects how oceanic element-element relationships develop. For Ga, its distribution can provide insight into dust delivery, which recent work has suggested may be higher than previously thought in the study area. Ga's limited reactivity also allows its distribution to be used for water mass deconvolution, which could be usefully applied to the ACC and intermediate water formation regions. Data include dissolved Ga concentrations from bottle and towed fish samples.";
    String time_coverage_end "2023-01-24T02:35:00Z";
    String time_coverage_start "2022-12-03T23:12:00Z";
    String title "[GP17-OCE Dissolved Gallium in the South Pacific Ocean] - Dissolved gallium (Ga) from 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.

(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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