BCO-DMO ERDDAP
Accessing BCO-DMO data

Data Access Form

Dataset Title:	[Physiology responses of coastal and oceanic Synechococcus to iron warming interactions] - Physiology responses to experimental iron warming interactions of coastal and oceanic Synechococcus collected from the South China Sea (Collaborative Research: Evolutionary, biochemical and biogeochemical responses of marine cyanobacteria to warming and iron limitation interactions)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_932220_v1)
Information:	Summary \| License \| Metadata \| Background \| Files \| Make a graph

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Variable	Minimum	Maximum
Sample_ID (unitless)	"24C +Fe-1"	"27C -Fe-3"
Strain (unitless)	"Syne_04-1"	"Syne_XM 24"
Temperature (degrees Celsius)	24	27
Fe_concentration (nM)	2	250
Fe_C (nmol/umol)	0.07819416	114.2556
C_fixation (h⁻¹)	0.01394015	0.06858779
PON (pmol N cell⁻¹)	0.07817264	0.3521402
Fe_P (mmol/mol)	2.471734	21.28914
POC (pmol C cell⁻¹)	0.08560551	0.3482281

Server-side Functions

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Sample_ID {
    String long_name "Sample_id";
    String units "unitless";
  }
  Strain {
    String long_name "Strain";
    String units "unitless";
  }
  Temperature {
    Int32 actual_range 24, 27;
    String long_name "Temperature";
    String units "degrees Celsius";
  }
  Fe_concentration {
    Int32 actual_range 2, 250;
    String long_name "Fe_concentration";
    String units "nM";
  }
  Fe_C {
    Float32 actual_range 0.07819416, 114.2556;
    String long_name "Fe_c";
    String units "nmol/umol";
  }
  C_fixation {
    Float32 actual_range 0.01394015, 0.06858779;
    String long_name "C_fixation";
    String units "h⁻¹";
  }
  PON {
    Float32 actual_range 0.07817264, 0.3521402;
    String long_name "Pon";
    String units "pmol N cell⁻¹";
  }
  Fe_P {
    Float32 actual_range 2.471734, 21.28914;
    String long_name "Fe_p";
    String units "mmol/mol";
  }
  POC {
    Float32 actual_range 0.08560551, 0.3482281;
    String long_name "Poc";
    String units "pmol C cell⁻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 doi "10.26008/1912/bco-dmo.932220.1";
    String history 
"2025-08-14T03:33:02Z (local files)
2025-08-14T03:33:02Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_932220_v1.html";
    String infoUrl "https://osprey.bco-dmo.org/dataset/932220";
    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 "The unicellular cyanobacterium Synechococcus is one of the most important primary producers in the ocean, and its growth and distribution are regionally limited by iron (Fe) concentration and temperature. However, the potential interactions between Fe availability and ocean warming in Synechococcus remain largely unexplored. We cultivated coastal (XM24) and oceanic (YX04-1) Synechococcus isolates from South China Sea under a matrix of two Fe concentrations (2 nM, 250 nM) and temperatures (24°C, 27°C) to investigate their physiological and transcriptomic responses. This dataset includes the sample identifier, strain information, iron and temperature treatment information, normalized iron quotas, carbon fixation rates, particulate organic nitrogen, and particulate organic carbon measurements. This experiment was performed at the University of Southern California in Dr. David Hutchins's lab from July to December of 2020.";
    String title "[Physiology responses of coastal and oceanic Synechococcus to iron warming interactions] - Physiology responses to experimental iron warming interactions of coastal and oceanic Synechococcus collected from the South China Sea (Collaborative Research: Evolutionary, biochemical and biogeochemical responses of marine cyanobacteria to warming and iron limitation interactions)";
  }
}

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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