BCO-DMO ERDDAP
Accessing BCO-DMO data

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Dataset Title:	[DDA nutrient acquisition] - Hemiaulus-Richelia physiological response to different nitrogen sources (META-DDA: METabolic Activities of Diatom-Diazotroph Associations)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_921924_v1)
Information:	Summary \| License \| 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 {
  Flask {
    String long_name "Flask";
    String units "unitless";
  }
  Time_gp {
    String long_name "Time_gp";
    String units "unitless";
  }
  Timepoint {
    String long_name "Timepoint";
    String units "days";
  }
  Treatment {
    String long_name "Treatment";
    String units "unitless";
  }
  RFU_Turner {
    Float32 actual_range 2.84, 17.3;
    String long_name "Rfu_turner";
    String units "relative fluorescence units";
  }
  chla {
    Float32 actual_range 3.018398, 69.13649;
    String long_name "Chla";
    String units "micrograms per cell (ug/cell)";
  }
  phaeophytin {
    Float32 actual_range 0.2793137, 12.58722;
    String long_name "Phaeophytin";
    String units "micrograms per cell (ug/cell)";
  }
  Hemiaulus_cellspermL {
    Float32 actual_range 953.678, 8213.115;
    String long_name "Hemiaulus_cellsperml";
    String units "cells per milliliter (cells/mL)";
  }
  Richelia_cellspermL {
    Float32 actual_range 893.0482, 7941.176;
    String long_name "Richelia_cellsperml";
    String units "cells per milliliter (cells/mL)";
  }
  Asymb_cellspermL {
    Float32 actual_range 520.7082, 3786.885;
    String long_name "Asymb_cellsperml";
    String units "cells per milliliter (cells/mL)";
  }
  Hemaiulus_mean_SA {
    Float32 actual_range 1327.065, 1789.848;
    String long_name "Hemaiulus_mean_sa";
    String units "square micrometers (um^2)";
  }
  Hemaiulus_mean_vol {
    Float32 actual_range 2703.862, 3894.185;
    String long_name "Hemaiulus_mean_vol";
    String units "cubic micrometers (um^3)";
  }
  Richelia_mean_SA {
    Float32 actual_range 82.72939, 115.9413;
    String long_name "Richelia_mean_sa";
    String units "square micrometers (um^2)";
  }
  Richelia_mean_vol {
    Float32 actual_range 41.40291, 71.29345;
    String long_name "Richelia_mean_vol";
    String units "cubic micrometers (um^3)";
  }
  NO3_uM {
    Float32 actual_range 0.1517517, 8.522631;
    String long_name "No3_um";
    String units "micromolar (uM)";
  }
  NO2_uM {
    Float32 actual_range 0.01840501, 0.173316;
    String long_name "No2_um";
    String units "micromolar (uM)";
  }
  NH4_uM {
    Float32 actual_range 4.01e-5, 7.578243;
    String long_name "Nh4_um";
    String units "micromolar (uM)";
  }
  SiOH4_uM {
    Float32 actual_range 14.86, 99.25337;
    String long_name "Sioh4_um";
    String units "micromolar (uM)";
  }
  PO4_uM {
    Float32 actual_range 11.9313, 15.56466;
    String long_name "Po4_um";
    String units "micromolar (uM)";
  }
  TDN_uM {
    Float32 actual_range 10.83, 23.2;
    String long_name "Tdn_um";
    String units "micromolar (uM)";
  }
  Part_vol_mL {
    Int32 actual_range 94, 100;
    String long_name "Part_vol_ml";
    String units "milliliters (mL)";
  }
  PC {
    Float32 actual_range 0.043, 0.262015;
    String long_name "Pc";
    String units "micromolar (uM)";
  }
  PN {
    Float32 actual_range 0.007, 0.04988695;
    String long_name "Pn";
    String units "micromolar (uM)";
  }
  Fv_Fm {
    Float32 actual_range 0.766, 0.873;
    String long_name "Fv_fm";
    String units "unitless";
  }
  sigma {
    Int32 actual_range 541, 1099;
    String long_name "Sigma";
    String units "square Angstroms per quanta (Å^2 (quanta)^-1)";
  }
  d15N {
    Float32 actual_range -5.86, 389.59;
    String long_name "D15n";
    String units "parts per thousand (ppt)";
  }
  massN_mg {
    Float32 actual_range 0.03, 0.309;
    String long_name "Massn_mg";
    String units "milligrams (mg)";
  }
  d13C {
    Float32 actual_range 205.98, 1933.71;
    String long_name "D13c";
    String units "parts per thousand (ppt)";
  }
  massC_mg {
    Float32 actual_range 0.197, 1.863;
    String long_name "Massc_mg";
    String units "milligrams (mg)";
  }
  atperc_15N2_N2 {
    Float32 actual_range 0.4555125, 1.30702;
    String long_name "Atperc_15n2_n2";
    String units "percent";
  }
  vol_filt_L {
    Float32 actual_range 0.15, 0.275;
    String long_name "Vol_filt_l";
    String units "liters (L)";
  }
  inc_time_min {
    Int32 actual_range 1449, 1490;
    String long_name "Inc_time_min";
    String units "minutes";
  }
  pp_rate_ugCperLperday {
    Float32 actual_range 30.71771, 3223.586;
    String long_name "Pp_rate_ugcperlperday";
    String units "micrograms C per liter per day (ug C L^-1 d^-1)";
  }
  NFR_nmolNperLperday {
    Float32 actual_range -855.4695, 5803.451;
    String long_name "Nfr_nmolnperlperday";
    String units "nanomoles N per liter per day (nM N L^-1 d^-1)";
  }
 }
  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 history 
"2026-01-19T14:46:29Z (local files)
2026-01-19T14:46:29Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_921924_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/921924";
    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 "Diatom-diazotroph associations (DDAs) play an important role at the base of the food web by fixing both carbon dioxide and nitrogen gas into organic matter. The ability of DDAs to fix nitrogen allows the relatively large diatom host to survive under nitrogen-deplete conditions and, thus, contribute significantly to organic carbon export in oligotrophic waters. Yet, relatively little is known about this symbiosis, in part because it has historically been difficult to maintain DDAs in culture. Here, we isolated the DDA Hemiaulus-Richelia from the Sargasso Sea and developed a protocol to maintain it in laboratory culture for long time periods (years). Experiments were conducted to determine how Hemiaulus-Richelia responds to different nitrogen sources with measurements of growth and nitrogen fixation.";
    String title "[DDA nutrient acquisition] - Hemiaulus-Richelia physiological response to different nitrogen sources (META-DDA: METabolic Activities of Diatom-Diazotroph Associations)";
  }
}

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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