BCO-DMO ERDDAP
Accessing BCO-DMO data

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Dataset Title:	[PXM1 - Exometabolite concentration data] - Phytoplankton exometabolite concentrations from laboratory cultures of Crocosphaera watsonii, Micromonas commoda, Prochlorococcus marinus, Synechococcus, Gephyrocapsa huxleyi, and Thalassiosira pseudonana collected from September to December 2022 (Phytoplankton Exometabolites)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_991360_v1)
Information:	Summary \| License \| 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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[The graph you specified. Please be patient.]

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 {
  species {
    String long_name "Species";
    String units "unitless";
  }
  strain {
    String long_name "Strain";
    String units "unitless";
  }
  metabolites {
    String long_name "Metabolites";
    String units "unitless";
  }
  presence {
    String long_name "Presence";
    String units "unitless";
  }
  metabolite_concentration {
    Float32 actual_range 0.036, 570.0;
    String long_name "Metabolite_concentration";
    String units "nanomoles per liter (nmol/L)";
  }
  carbon_concentration {
    Float32 actual_range 0.23, 2900.0;
    String long_name "Carbon_concentration";
    String units "nanomoles carbon per liter (nmol C/L)";
  }
  cell_specific_concentration {
    Float32 actual_range 0.0012, 410.0;
    String long_name "Cell_specific_concentration";
    String units "attomoles per cell (amol/cell)";
  }
  carbon_fraction {
    Float32 actual_range 1.8e-6, 0.058;
    String long_name "Carbon_fraction";
    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.991360.1";
    String history 
"2026-03-05T06:34:51Z (local files)
2026-03-05T06:34:51Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_991360_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/991360";
    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 "Blank-corrected concentration data of 56 exometabolites were characterized in laboratory cultures of Gephyrocapsa huxleyi CCMP371, Crocosphaera watsonii WH8501, Micromonas commoda RCC299, Prochlorococcus marinus MIT9301, Synechococcus WH8102, and Thalassiosira pseudonana CCMP1335. Cultures were harvested during the exponential growth phase. Cell count data (available at BCO-DMO project 984095) were used to calculate cell-specific concentrations. Blank-corrected dissolved organic carbon (DOC) concentrations (available at BCO-DMO project 984095) were used to calculate each exometabolite's fraction contribution to phytoplankton-excreted DOC. Raw mass spectrometry files have been deposited to the MetaboLights repository (dataset MTBLS12895).";
    String title "[PXM1 - Exometabolite concentration data] - Phytoplankton exometabolite concentrations from laboratory cultures of Crocosphaera watsonii, Micromonas commoda, Prochlorococcus marinus, Synechococcus, Gephyrocapsa huxleyi, and Thalassiosira pseudonana collected from September to December 2022 (Phytoplankton Exometabolites)";
  }
}

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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