BCO-DMO ERDDAP
Accessing BCO-DMO data

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Dataset Title:	[RECHARGE 2018 - 2020 Microbiome Host Bleaching and Mortality Data] - Microbiome Host Bleaching and Mortality Data for coral hosts collected in Moorea, French Polynesia from Jul 2018 to Aug 2020 (Collaborative Research: Tipping points in coral reefs and their associated microbiomes: interactive effects of herbivory, nutrient enrichment, and temperature)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_954197_v1)
Information:	Summary \| License \| Metadata \| Background \| Data Access Form \| Files

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Constraints	Optional Constraint #1		Optional Constraint #2

Server-side Functions

distinct()

Hover here to see a list of options. Click on an option to select it.

Graph Settings

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[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:

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 {
  Sample {
    String long_name "Sample";
    String units "unitless";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  Coral {
    String long_name "Coral";
    String units "unitless";
  }
  Herbivory {
    String long_name "Herbivory";
    String units "unitless";
  }
  Nutrients {
    String long_name "Nutrients";
    String units "unitless";
  }
  Plot {
    String long_name "Plot";
    String units "unitless";
  }
  Tag {
    String long_name "Tag";
    String units "unitless";
  }
  Run {
    String long_name "Run";
    String units "unitless";
  }
  Colony {
    String long_name "Colony";
    String units "unitless";
  }
  percent_bleached {
    Int32 actual_range 0, 95;
    String long_name "Percent_bleached";
    String units "percent";
  }
  percent_dead {
    Int32 actual_range 0, 100;
    String long_name "Percent_dead";
    String units "percent";
  }
 }
  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.954197.1";
    String history 
"2025-08-25T17:48:45Z (local files)
2025-08-25T17:48:45Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_954197_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/954197";
    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 bleaching and mortality levels for the coral hosts associated with the 16S rRNA gene V4 region amplicon sequencing data, NCBI SRA accession from BioProject PRJNA994532. Orthorectified photomosaics were assembled from photos taken of experimental plots from an in situ coral manipulative experiment in Moorea, French Polynesia between 2018-2020. Partial bleaching and mortality was assigned from these photomosaics to Acropora retusa, Porites lobata, and Pocillopora spp. coral colonies associated with the microbiome sampling described above, whenever possible. Data collection was a multi-university collaborative effort between the Vega Thurber Laboratory, at Oregon State University during the time of the experiment, and the Burkepile Community Ecology Laboratory at UC Santa Barbara. 

The experiment, conducted on the fore reef on the north shore of the island, evaluated the interaction of consumer pressure level (termed \"Herbivory\" in the dataset and in Vompe et al., 2023) and nutrient enrichment on coral microbiome composition and host bleaching and mortality. The experiment also captured two severe and sequential marine heatwaves in 2019 and 2020. This experiment aimed to evaluate whether managing local inputs, including water column nutrient levels and fishing regimes, interacts with heat stress to affect coral success. Coral colony partial bleaching and partial mortality data were collected for hosts sampled for microbiome analyses, because we aimed to correlate microbiome changes to changes in host phenotypes.";
    String title "[RECHARGE 2018 - 2020 Microbiome Host Bleaching and Mortality Data] - Microbiome Host Bleaching and Mortality Data for coral hosts collected in Moorea, French Polynesia from Jul 2018 to Aug 2020 (Collaborative Research: Tipping points in coral reefs and their associated microbiomes: interactive effects of herbivory, nutrient enrichment, and temperature)";
  }
}

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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