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Dataset Title:  [qPCR assays] - Results from qPCR assays to quantify the abundance and
photochemical performance of symbionts relative to coral cells in three coral
species collected from colonies in southeast Florida in April and October 2019
before, during, and after heat stress tests (Collaborative Research: Assessing
the changing symbiotic milieu on Caribbean coral reefs under climate change:
magnitude, tradeoffs, interventions, and implications)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_918220_v1)
Range: longitude = -80.1005 to -80.0974°E
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form | Files
 
Graph Type:  ?
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Constraints ? Optional
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Server-side Functions ?
 distinct() ?
? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")
 
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Then set the File Type: (File Type information)
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(Documentation / Bypass this form ? )
    [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:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Species {
    String long_name "Species";
    String units "unitless";
  }
  Treatment {
    String long_name "Treatment";
    String units "unitless";
  }
  Core {
    String long_name "Core";
    String units "unitless";
  }
  Collection_Latitude {
    Float32 actual_range 25.6773, 25.6788;
    String long_name "Collection_latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -80.1005, -80.0974;
    String axis "X";
    String ioos_category "Location";
    String long_name "Collection_longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Timepoint {
    String long_name "Timepoint";
    String units "unitless";
  }
  Sym_Host {
    Float32 actual_range 0.0, 0.5036345;
    String long_name "Sym_host";
    String units "unitless";
  }
  Y2 {
    Float32 actual_range 0.053, 0.61;
    String long_name "Y2";
    String units "unitless";
  }
  PropD {
    Float32 actual_range 0.0, 1.0;
    String long_name "Propd";
    String units "unitless";
  }
  Batch {
    Int32 actual_range 1, 2;
    String long_name "Batch";
    String units "unitless";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  Colony {
    Int32 actual_range 2, 100;
    String long_name "Colony";
    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.918220.1";
    Float64 Easternmost_Easting -80.0974;
    Float64 geospatial_lon_max -80.0974;
    Float64 geospatial_lon_min -80.1005;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-14T13:25:16Z (local files)
2024-11-14T13:25:16Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_918220_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/918220";
    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 "This dataset contains results from assays to quantify the abundance and photochemical performance of Breviolum, Cladocopium, and Durusdinium symbionts relative to coral cells in Montastraea cavernosa, Orbicella faveolata, and Siderastrea siderea corals collected from colonies in southeast Florida in April 2019 and in October 2019, before, during and after aquarium-based experimental heat stress tests. Bulk genomic DNA was extracted from tissue scrapings taken from 2.5cm diameter cores of corals and was used as a template for symbiont genus-specific qPCR assays. The resulting CT values were used to calculate the relative abundance of each symbiont genus within each coral core over the course of the heat stress. The photochemical efficiency of each coral core was also measured periodically throughout heat stress tests using an imaging pulse amplitude modulated (I-PAM) fluorometer. The publication based on these data is Buzzoni, et al. (2023) (DOI: 10.1007/s00338-023-02428-x).";
    String title "[qPCR assays] - Results from qPCR assays to quantify the abundance and photochemical performance of symbionts relative to coral cells in three coral species collected from colonies in southeast Florida in April and October 2019 before, during, and after heat stress tests (Collaborative Research: Assessing the changing symbiotic milieu on Caribbean coral reefs under climate change: magnitude, tradeoffs, interventions, and implications)";
    Float64 Westernmost_Easting -80.1005;
  }
}

 

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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