BCO-DMO ERDDAP
Accessing BCO-DMO data

Make A Graph

Dataset Title:	[Microbial eukaryotic diversity: Mid-Cayman Rise SRA dataset] - 18S rRNA amplicon sequencing of microbial eukaryotes from the Mid-Cayman Rise acquired Jan-Feb, 2020 (Probing subseafloor microbial interactions via hydrothermal vent fluids: A focus on protists)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_914399_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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(Please be patient. It may take a while to get the data.)

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Then set the File Type: (File Type information)
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or view the URL:
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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 {
  Experiment_Accession {
    String long_name "Experiment_accession";
    String units "unitless";
  }
  Experiment_Title {
    String long_name "Experiment_title";
    String units "unitless";
  }
  Organism_Name {
    String long_name "Organism_name";
    String units "unitless";
  }
  Instrument {
    String long_name "Instrument";
    String units "unitless";
  }
  Study_Accession {
    String long_name "Study_accession";
    String units "unitless";
  }
  Study_Title {
    String long_name "Study_title";
    String units "unitless";
  }
  Sample_Accession {
    String long_name "Sample_accession";
    String units "unitless";
  }
  Total_Size_Mb {
    String long_name "Total_size_mb";
    String units "Mb";
  }
  Total_Bases {
    Int32 actual_range 375000, 238791000;
    String long_name "Total_bases";
    String units "bp";
  }
  Library_Name {
    String long_name "Library_name";
    String units "unitless";
  }
  Library_Strategy {
    String long_name "Library_strategy";
    String units "unitless";
  }
  Library_Source {
    String long_name "Library_source";
    String units "unitless";
  }
  Library_Selection {
    String long_name "Library_selection";
    String units "unitless";
  }
  Vent_field {
    String long_name "Vent_field";
    String units "unitless";
  }
  Collection {
    String long_name "Collection";
    String units "unitless";
  }
  Vent_name {
    String long_name "Vent_name";
    String units "unitless";
  }
  DiveID {
    String long_name "Diveid";
    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.914399.1";
    String history 
"2024-11-21T11:41:07Z (local files)
2024-11-21T11:41:07Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_914399_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/914399";
    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 "Single-celled microbial eukaryotes inhabit deep-sea hydrothermal vent environments and play critical ecological roles in the vent-associated microbial food web. 18S rRNA amplicon sequencing of diffuse venting fluids from two geochemically-distinct hydrothermal vent fields was applied to investigate community diversity patterns among protistan assemblages. Piccard and Von Damm vent fields are situated 20 km apart at the Mid-Cayman Rise in the Caribbean Sea. We describe species diversity patterns with respect to hydrothermal vent field and sample type, identify putative vent endemic microbial eukaryotes, and test how vent fluid geochemistry may influence microbial community diversity. Individual vent fields supported distinct and highly diverse assemblages of protists that included potentially endemic or novel vent-associated strains. This data adds to our growing knowledge of the biogeography of deep-sea microbial eukaryotes.";
    String title "[Microbial eukaryotic diversity: Mid-Cayman Rise SRA dataset] - 18S rRNA amplicon sequencing of microbial eukaryotes from the Mid-Cayman Rise acquired Jan-Feb, 2020 (Probing subseafloor microbial interactions via hydrothermal vent fluids: A focus on protists)";
  }
}

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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