BCO-DMO ERDDAP
Accessing BCO-DMO data

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Dataset Title:	[25m Virgin Island Reef Water Quality Metrics] - Water quality metrics collected from 25 meter reefs from around the U.S. Virgin Islands during May 2023 (Multi-scale multi-host disease spread project) (A multi-scale approach to predicting infectious multi-host disease spread in marine benthic communities)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_986272_v2)
Range:	longitude = -65.10175 to -65.10175°E, latitude = 18.28845 to 18.28845°N, depth = 24.0 to 24.0m, time = 2023-05-03T16:04:08Z to 2023-05-07T17:52:28Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

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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 {
  Mission {
    String long_name "Mission";
    String units "unitless";
  }
  Site {
    String long_name "Site";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 18.28845, 18.28845;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -65.10175, -65.10175;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.683129848e+9, 1.683481948e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Iso_datetime_utc";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Int32 actual_range 24, 24;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Sampling_depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Time_of_sonde {
    String long_name "Time_of_sonde";
    String units "unitless";
  }
  Temp_C {
    Float32 actual_range 26.777, 26.974;
    String long_name "Temp_c";
    String units "degrees Celcius";
  }
  mmHg {
    Float32 actual_range 760.2, 762.0;
    String long_name "Mmhg";
    String units "millimeters";
  }
  DO_Percent {
    Float32 actual_range 97.6, 99.6;
    String long_name "Do_percent";
    String units "unitless";
  }
  DO_Concentration {
    Float32 actual_range 6.34, 6.46;
    String long_name "Do_concentration";
    String units "miligrams per liter (mg/L)";
  }
  SPC {
    Int32 actual_range 55787, 55934;
    String long_name "Spc";
    String units "microSiemens per centimeter (uS/cm)";
  }
  C {
    Int32 actual_range 57807, 57890;
    String long_name "C";
    String units "microSiemens per centimeter (uS/cm)";
  }
  SAL {
    Float32 actual_range 36.97, 37.08;
    String long_name "Sal";
    String units "parts per thousand (ppt)";
  }
  pH {
    Float32 actual_range 8.02, 8.06;
    String long_name "Ph";
    String units "unitless";
  }
  NTU {
    Float32 actual_range -0.07, -0.06;
    String long_name "Ntu";
    String units "Nephelometric Turbidity Units (NTU)";
  }
  TSS {
    Int32 actual_range 0, 0;
    String long_name "Tss";
    String units "miligrams per liter (mg/L)";
  }
  DEP_m {
    Float32 actual_range 17.022, 28.441;
    String long_name "Dep_m";
    String units "m";
  }
  Lab_ID_for_cell_abundances {
    String long_name "Lab_id_for_cell_abundances";
    String units "unitless";
  }
  pro {
    Int32 actual_range 61623, 95908;
    String long_name "Pro";
    String units "cells per milliliter (cells/mL)";
  }
  syn {
    Int32 actual_range 25146, 34468;
    String long_name "Syn";
    String units "cells per milliliter (cells/mL)";
  }
  peuk {
    Int32 actual_range 1169, 1549;
    String long_name "Peuk";
    String units "cells per milliliter (cells/mL)";
  }
  hbact {
    Int32 actual_range 439699, 514623;
    String long_name "Hbact";
    String units "cells per milliliter (cells/mL)";
  }
 }
  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 defaultDataQuery "&amp;time&lt;now";
    String doi "10.26008/1912/bco-dmo.986272.2";
    Float64 Easternmost_Easting -65.10175;
    Float64 geospatial_lat_max 18.28845;
    Float64 geospatial_lat_min 18.28845;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -65.10175;
    Float64 geospatial_lon_min -65.10175;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 24.0;
    Float64 geospatial_vertical_min 24.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2025-11-25T17:55:03Z (local files)
2025-11-25T17:55:03Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_986272_v2.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/986272";
    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.";
    Float64 Northernmost_Northing 18.28845;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 18.28845;
    String summary "Reef seawater was collected to quantify microbial cell abundances. Water samples were collected by SCUBA divers approximately 2 meters above the reef surface. Physical parameters, including temperature, salinity, dissolved oxygen, pH, and turbidity, were measured from the boat using an EXO2 multiparameter sonde. Sample processing will follow previously published methods (Becker et al., 2020; Weber et al., 2020). Collections were replicated across four sampling days.";
    String time_coverage_end "2023-05-07T17:52:28Z";
    String time_coverage_start "2023-05-03T16:04:08Z";
    String title "[25m Virgin Island Reef Water Quality Metrics] - Water quality metrics collected from 25 meter reefs from around the U.S. Virgin Islands during May 2023 (Multi-scale multi-host disease spread project) (A multi-scale approach to predicting infectious multi-host disease spread in marine benthic communities)";
    Float64 Westernmost_Easting -65.10175;
  }
}

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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