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Dataset Title:  [P. australis physiological data (temperature experiments)] - Single-factor
temperature experiment physiology and carbonate chemistry 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)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_906927_v1)
Information:  Summary ? | License ? | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 Treatment (degrees Celsius (deg C)) ?          "11"    "8"
 Replicate (unitless) ?          1    3
 Growth_rate (per day (d-1)) ?          0.0    0.3655909
 Particulate_DA (nanograms of domoic acid per micromole of carbon (ng DA/umol C)) ?          0.0    3.819801
 DA_production_rate (nanograms of domoic acid per micromole of carbon per day (ng DA/umol C/day)) ?          0.0    0.8212302
 
Server-side Functions ?
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File type: (more information)

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Treatment {
    String long_name "Treatment";
    String units "degrees Celsius (deg C)";
  }
  Replicate {
    Int32 actual_range 1, 3;
    String long_name "Replicate";
    String units "unitless";
  }
  Growth_rate {
    Float32 actual_range 0.0, 0.3655909;
    String long_name "Growth_rate";
    String units "per day (d-1)";
  }
  Particulate_DA {
    Float32 actual_range 0.0, 3.819801;
    String long_name "Particulate_da";
    String units "nanograms of domoic acid per micromole of carbon (ng DA/umol C)";
  }
  DA_production_rate {
    Float32 actual_range 0.0, 0.8212302;
    String long_name "Da_production_rate";
    String units "nanograms of domoic acid per micromole of carbon per day (ng DA/umol C/day)";
  }
 }
  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.906927.1";
    String history 
"2024-12-03T17:16:23Z (local files)
2024-12-03T17:16:23Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906927_v1.html";
    String infoUrl "https://www.bco-dmo.org/dataset/906927";
    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 replicate data for single-factor temperature experiment physiology and carbonate chemistry.

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 (temperature experiments)] - Single-factor temperature experiment physiology and carbonate chemistry 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.

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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