BCO-DMO ERDDAP
Accessing BCO-DMO data

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Dataset Title:	[GN01 Dissolved Methane (CH₄)] - Dissolved methane (CH₄) concentrations from the U.S. GEOTRACES Arctic cruise (HLY1502; GN01) on USCGC Healy from August to October 2015 (U.S. Arctic GEOTRACES Study (GN01))
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_946112_v1)
Range:	longitude = -179.8086 to 179.1997°E, latitude = 60.252 to 89.9876°N, depth = 1.7 to 4200.1m, time = 2015-08-12T17:40:00Z to 2015-10-07T13:56:00Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

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Constraints	Optional Constraint #1		Optional Constraint #2

Server-side Functions

distinct()

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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, 66;
    String long_name "Station_id";
    String units "unitless";
  }
  Event_ID {
    Int32 actual_range 6010, 6484;
    String long_name "Event_id";
    String units "unitless";
  }
  Start_Date_UTC {
    String long_name "Start_date_utc";
    String units "unitless";
  }
  Start_Time_UTC {
    String long_name "Start_time_utc";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.4394012e+9, 1.44422616e+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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 60.252, 89.9876;
    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 -179.8086, 179.1997;
    String axis "X";
    String ioos_category "Location";
    String long_name "Start_longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Rosette_Position {
    Int32 actual_range 1, 34;
    String long_name "Rosette_position";
    String units "unitless";
  }
  Sample_ID {
    Int32 actual_range 10494, 12306;
    String long_name "Sample_id";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 1.7, 4200.1;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Sample_depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  CH4_D_CONC_BOTTLE_fiwgyy {
    Float32 actual_range -0.2, 56.93;
    String long_name "Ch4_d_conc_bottle_fiwgyy";
    String units "nanomoles per kilogram (nmol/kg)";
  }
  SD1_CH4_D_CONC_BOTTLE_fiwgyy {
    String long_name "Sd1_ch4_d_conc_bottle_fiwgyy";
    String units "nanomoles per kilogram (nmol/kg)";
  }
  Flag_CH4_D_CONC_BOTTLE_fiwgyy {
    Int32 actual_range 2, 4;
    String long_name "Flag_ch4_d_conc_bottle_fiwgyy";
    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 defaultDataQuery "&amp;time&lt;now";
    String doi "10.26008/1912/bco-dmo.946112.1";
    Float64 Easternmost_Easting 179.1997;
    Float64 geospatial_lat_max 89.9876;
    Float64 geospatial_lat_min 60.252;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.1997;
    Float64 geospatial_lon_min -179.8086;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 4200.1;
    Float64 geospatial_vertical_min 1.7;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2025-01-15T20:02:54Z (local files)
2025-01-15T20:02:54Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_946112_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/946112";
    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 89.9876;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 60.252;
    String summary "This dataset reports dissolved methane (CH₄) concentrations from the US GEOTRACES Arctic Expedition on USCGC Healy (GN01, HLY1502) from August to October 2015. Seawater samples were collected using the ODF rosette. Both GEOTRACES samples and GO-SHIP samples from the same cruise were analyzed. Methane was analyzed using cavity ringdown spectroscopy to determine its concentration in an equilibrated headspace. Arctic waters are a possibly significant source of this Greenhouse Gas to the atmosphere and global change is likely exacerbating its release. Methane is also a potentially valuable indicator of interactions with the shelf as well as of river inputs. Dissolved methane concentrations in this section were highest over the continental shelves and slope, which supports our understanding of the major sources of methane (i.e., from microbes in oxygen-limited sediments, from gas seeps, and from gas-hydrates).";
    String time_coverage_end "2015-10-07T13:56:00Z";
    String time_coverage_start "2015-08-12T17:40:00Z";
    String title "[GN01 Dissolved Methane (CH₄)] - Dissolved methane (CH₄) concentrations from the U.S. GEOTRACES Arctic cruise (HLY1502; GN01) on USCGC Healy from August to October 2015 (U.S. Arctic GEOTRACES Study (GN01))";
    Float64 Westernmost_Easting -179.8086;
  }
}

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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