BCO-DMO ERDDAP
Accessing BCO-DMO data

Make A Graph

Dataset Title:	[Macroalgal biodiversity experiment: coral growth and tissue mortality data] - Coral (Pocillopora verrucosa) growth and tissue mortality from experimental field plots in Moʻorea, French Polynesia in 2021 (Positive Effects of Coral Biodiversity on Coral Performance: Patterns, Processes, and Dynamics)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_925751_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 {
  ID {
    String long_name "Id";
    String units "unitless";
  }
  Treatment {
    String long_name "Treatment";
    String units "unitless";
  }
  Plot {
    Int32 actual_range 1, 72;
    String long_name "Plot";
    String units "unitless";
  }
  Colony {
    Int32 actual_range 1, 12;
    String long_name "Colony";
    String units "unitless";
  }
  Position {
    Int32 actual_range 2, 12;
    String long_name "Position";
    String units "unitless";
  }
  Growth_percent {
    Float32 actual_range -37.63441, 59.29019;
    String long_name "Growth_percent";
    String units "unitless";
  }
  Mortality_percent {
    Int32 actual_range 0, 100;
    String long_name "Mortality_percent";
    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.925751.1";
    String history 
"2024-12-03T17:40:02Z (local files)
2024-12-03T17:40:02Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_925751_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/925751";
    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 
"Hundreds of studies now document positive relationships between biodiversity and critical ecosystem processes, but as ecological communities worldwide shift towards new species configurations, less is known regarding how biodiversity of undesirable species will shape the functioning of ecosystems or foundation species. We manipulated macroalgal species richness in experimental field plots to test whether and how identity and diversity of competing macroalgae affected the growth, survival, and microbiome of a common coral in Moʻorea, French Polynesia. These data include coral (Pocillopora verrucosa) percent growth and tissue mortality among corals outplanted into 25 cm x 21 cm experimental plots in the back reef lagoon on the north coast of Moʻorea, French Polynesia (17°28′37″S 149°50′21″W). We varied the macroalgal community on the upper surface of each plot by outplanting monocultures holding similar masses of: (1) Sargassum pacificum, (2) Turbinaria ornata, or (3) Amansia rhodantha, as well as (4) polycultures containing all three species (12 plots per treatment; Figure 1 of Clements et al., 2024). There were also two additional treatments: (5) plots with plastic algal mimics to control for effects of shading or abrasion unrelated to the biotic properties of live seaweeds and 6) control plots where corals, but not living algae or physical mimics, were present (n = 12 plots/treatment).

This dataset includes coral (Pocillopora verrucosa) growth and tissue mortality at 9 weeks for plots with no algae (control), plastic algal mimics, monocultures of Amansia rhodantha, Turbinaria ornata, or Sargassum pacificum, and polycultures containing all three algal species.";
    String title "[Macroalgal biodiversity experiment: coral growth and tissue mortality data] - Coral (Pocillopora verrucosa) growth and tissue mortality from experimental field plots in Moʻorea, French Polynesia in 2021 (Positive Effects of Coral Biodiversity on Coral Performance: Patterns, Processes, and Dynamics)";
  }
}

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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