BCO-DMO ERDDAP
Accessing BCO-DMO data

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Dataset Title:	[10m Virgin Island Reef Water Quality Metrics] - Water quality metrics collected from 10 meter reefs from around the U.S. Virgin Islands during April 2022 (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_986266_v1)
Range:	longitude = -64.8135 to -64.60724°E, latitude = 17.77388 to 18.34424°N, depth = 9.0 to 10.0m, time = 2022-04-05T15:59:20Z to 2022-04-15T16:14:52Z
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 17.77388, 18.34424;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitiude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -64.8135, -64.60724;
    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 1.64917436e+9, 1.650039292e+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 9, 10;
    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 {
    Float32 actual_range 26.539, 26.848;
    String long_name "Temp";
    String units "degrees Celcius";
  }
  mmHg {
    Float32 actual_range 760.7, 762.3;
    String long_name "Mmhg";
    String units "millimeters of mercury (mmHg)";
  }
  DO_Percent {
    Float32 actual_range 93.7, 102.6;
    String long_name "Do_percent";
    String units "unitless";
  }
  DO_Concentration {
    Float32 actual_range 6.12, 6.7;
    String long_name "Do_concentration";
    String units "miligrams per liter (mg/L)";
  }
  SPC {
    Int32 actual_range 55311, 56013;
    String long_name "Spc";
    String units "microSiemens per centimeter (uS/cm)";
  }
  C {
    Int32 actual_range 56961, 57991;
    String long_name "C";
    String units "microSiemens per centimeter (uS/cm)";
  }
  SAL {
    Float32 actual_range 36.63, 37.15;
    String long_name "Sal";
    String units "parts per thousand (ppt)";
  }
  pH {
    Float32 actual_range 7.88, 8.15;
    String long_name "Ph";
    String units "unitless";
  }
  NTU {
    Float32 actual_range -0.07, 1.05;
    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 {
    Float32 actual_range 5.811, 12.034;
    String long_name "Dep";
    String units "meters (m)";
  }
  Lab_ID_for_inorganic_nutrients {
    String long_name "Lab_id_for_inorganic_nutrients";
    String units "unitless";
  }
  PO4 {
    Float32 actual_range 0.08, 0.11;
    String long_name "Po4";
    String units "micrometer (um)";
  }
  NO3_NO2 {
    Float32 actual_range 0.0, 0.8;
    String long_name "No3_no2";
    String units "micrometer (um)";
  }
  Silicate {
    Float32 actual_range 0.4, 1.2;
    String long_name "Silicate";
    String units "micrometer (um)";
  }
  NO2 {
    Float32 actual_range 0.01, 0.03;
    String long_name "No2";
    String units "micrometer (um)";
  }
  NH4 {
    Float32 actual_range 0.29, 0.57;
    String long_name "Nh4";
    String units "micrometer (um)";
  }
  Lab_ID_for_cell_abundances {
    String long_name "Lab_id_for_cell_abundances";
    String units "unitless";
  }
  pro {
    Int32 actual_range 4885, 102867;
    String long_name "Pro";
    String units "cells per mL";
  }
  syn {
    Int32 actual_range 7340, 123679;
    String long_name "Syn";
    String units "cells per mL";
  }
  peuk {
    Int32 actual_range 735, 1707;
    String long_name "Peuk";
    String units "cells per mL";
  }
  hbact {
    Int32 actual_range 292082, 852676;
    String long_name "Hbact";
    String units "cells per mL";
  }
  Lab_ID_for_TON_TOC {
    String long_name "Lab_id_for_ton_toc";
    String units "unitless";
  }
  npoc {
    Float32 actual_range 82.7, 148.8;
    String long_name "Npoc";
    String units "micrometer (um)";
  }
  tn {
    Float32 actual_range 4.3, 9.7;
    String long_name "Tn";
    String units "micrometer (um)";
  }
  Lab_ID_for_chlorophyll {
    String long_name "Lab_id_for_chlorophyll";
    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 defaultDataQuery "&amp;time&lt;now";
    String doi "10.26008/1912/bco-dmo.986266.1";
    Float64 Easternmost_Easting -64.60724;
    Float64 geospatial_lat_max 18.34424;
    Float64 geospatial_lat_min 17.77388;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -64.60724;
    Float64 geospatial_lon_min -64.8135;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 10.0;
    Float64 geospatial_vertical_min 9.0;
    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_986266_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/986266";
    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 18.34424;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 17.77388;
    String summary "These data include water quality metrics collected at 10-meter reef sites in the U.S. Virgin Islands (USVI) during April 2022. Two reefs were located near St. John (Haulover Bay and Coral Bay) and two near St. Croix (Cane Bay and Buck Island). Physical parameters were measured using an EXO Sonde, while water samples collected approximately 2 meters above the reefs were analyzed for inorganic nutrient concentrations, microbial cell abundances, total organic carbon (TOC), and total nitrogen (TN). Characterizing the physical and chemical properties of reef waters provides important context for understanding microbial community dynamics and their potential role in coral reef health and disease processes.";
    String time_coverage_end "2022-04-15T16:14:52Z";
    String time_coverage_start "2022-04-05T15:59:20Z";
    String title "[10m Virgin Island Reef Water Quality Metrics] - Water quality metrics collected from 10 meter reefs from around the U.S. Virgin Islands during April 2022 (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 -64.8135;
  }
}

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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