BCO-DMO ERDDAP
Accessing BCO-DMO data

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Dataset Title:	[P. australis physiological data (Cluster experiments)] - Cluster (combined temperature, nutrient concentration, and CO2) results from laboratory experiments with Pseudo-nitzschia australis conducted from 2021 to 2022 (MCA: Developing transcriptomics as a tool to investigate toxic diatom responses to ocean heatwave and upwelling events)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_906949_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 {
  Treatment {
    String long_name "Treatment";
    String units "unitless";
  }
  Replicate {
    Int32 actual_range 1, 3;
    String long_name "Replicate";
    String units "unitless";
  }
  Growth_rate {
    Float32 actual_range 0.121668, 0.4677469;
    String long_name "Growth_rate";
    String units "per day (d-1)";
  }
  Particulate_DA_perC {
    Float32 actual_range 0.0, 1.1204;
    String long_name "Particulate_da_perc";
    String units "nanograms of domoic acid per micromole of carbon (ng DA/umol C)";
  }
  Particulate_DA_perCell {
    Float32 actual_range 0.0, 4.2123;
    String long_name "Particulate_da_percell";
    String units "nanograms of domoic acid per cell (ng DA/cell)";
  }
  DA_production_rate {
    Float32 actual_range 0.0, 0.4026386;
    String long_name "Da_production_rate";
    String units "nanograms of domoic acid per micromole of carbon per day (ng DA/umol C/day)";
  }
  Net_primary_productivity {
    Float32 actual_range 0.004371343, 0.01460528;
    String long_name "Net_primary_productivity";
    String units "per hour (h-1)";
  }
  Nitrogen_use_efficiency {
    Float32 actual_range 0.03185274, 0.1214406;
    String long_name "Nitrogen_use_efficiency";
    String units "micromoles of carbon per micromoles of nitrogen per hour (umol C/umol N/hr)";
  }
  Measured_DIC {
    Float32 actual_range 1765.3, 2110.4;
    String long_name "Measured_dic";
    String units "miromoles per kilogram (umol/kg)";
  }
  Measured_pH {
    Float32 actual_range 7.69, 8.27;
    String long_name "Measured_ph";
    String units "total pH scale";
  }
  Calculated_bulk_alkalinity {
    Float32 actual_range 32.2, 98.3;
    String long_name "Calculated_bulk_alkalinity";
    String units "miromoles per kilogram (umol/kg)";
  }
  Calculated_pCO2 {
    Float32 actual_range 214.1, 916.5;
    String long_name "Calculated_pco2";
    String units "microatmospheres (uatm)";
  }
 }
  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.906949.1";
    String history 
"2024-11-14T03:32:25Z (local files)
2024-11-14T03:32:25Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_906949_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/906949";
    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 
"These raw data contain physiological data collected from laboratory experiments with Pseudo-nitzschia australis.  This dataset includes results of cluster experiments of combined temperature, nutrient concentration, and CO2 in order to reflect upwelling, heatwaves, and extreme heatwaves in the natural environment. 

See \"Related Datasets\" for other physiological measurements published as part of these experiments. See the results publication Kelley et al. (2003) for more detail.  The following description provides details for all related physiological measurement datasets.

These physiological measurements include: growth rates, domoic acid quotas, domoic acid production rates, net primary productivity, and nitrogen use efficiencies. Also included are pH and DIC measurement used to characterize the carbonate system. 

These data revealed novel insights into P. australis bloom dynamics and may be useful to harmful algal bloom modelers and were collected and analyzed by Kyla Kelly, Amjad Mansour, Chen Liang, Andrew Kim, Lily Mancini, Dr. Matthew Bertin, Dr. Bethany Jenkins, Dr. David Hutchins, and Dr. Fei-Xue Fu.";
    String title "[P. australis physiological data (Cluster experiments)] - Cluster (combined temperature, nutrient concentration, and CO2) results from laboratory experiments with Pseudo-nitzschia australis conducted from 2021 to 2022 (MCA: Developing transcriptomics as a tool to investigate toxic diatom responses to ocean heatwave and upwelling events)";
  }
}

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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