BCO-DMO ERDDAP
Accessing BCO-DMO data

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Dataset Title:	[PEnum and PEmass] - Number and mass production efficiencies of primary marine aerosol (PMA) generated from seawater near the BATS station during the R/V Atlantic Explorer cruises AE2113 (July 2021) and AE2303 (January 2023) (Collaborative Research: Seasonal Variability in refractory dissolved organic carbon fluxes associated with primary marine aerosol emitted from the oceans)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_999300_v1)
Range:	time = 2021-07-22T00:00:00Z to 2023-01-28T17:40:00Z
Information:	Summary \| License \| Metadata \| Background \| Data Access Form \| Files

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Constraints	Optional Constraint #1		Optional Constraint #2

Server-side Functions

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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 {
  Cruise_Number {
    String long_name "Cruise_number";
    String units "unitless";
  }
  Atlantic_Standard_Date_Time {
    String long_name "Atlantic_standard_date_time";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.626912e+9, 1.6749276e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "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";
  }
  PE_mass {
    Float32 actual_range 0.102171, 2.06442;
    String long_name "Pe_mass";
    String units "micrograms per liter (ug/L)";
  }
  PE_number {
    Float32 actual_range 1.02e+8, 7.66e+8;
    String long_name "Pe_number";
    String units "per liter (1/L)";
  }
 }
  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.999300.1";
    String history 
"2026-07-24T07:37:29Z (local files)
2026-07-24T07:37:29Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_999300_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/999300";
    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.";
    String sourceUrl "(local files)";
    String summary "This data set includes the number and mass production efficiencies of model primary marine aerosol (mPMA) generated from seawater near the BATS station onboard the R/V Atlantic Explorer. Particles were generated using a high-capacity marine aerosol generator on board the ship during two distinct seasons, summer (July 23 - August 1, 2021) and winter (January 18 - 28, 2023) and were counted and sized. Particle number and mass size distributions were converted to production efficiencies using the volume of the air flowing through the generator.";
    String time_coverage_end "2023-01-28T17:40:00Z";
    String time_coverage_start "2021-07-22T00:00:00Z";
    String title "[PEnum and PEmass] - Number and mass production efficiencies of primary marine aerosol (PMA) generated from seawater near the BATS station during the R/V Atlantic Explorer cruises AE2113 (July 2021) and AE2303 (January 2023) (Collaborative Research: Seasonal Variability in refractory dissolved organic carbon fluxes associated with primary marine aerosol emitted from the oceans)";
  }
}

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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