BCO-DMO ERDDAP
Accessing BCO-DMO data

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Dataset Title:	[Reef seawater biogeochemistry from the Jardines de la Reina reef-system] - Reef seawater biogeochemistry data from samples collected in the Jardines de la Reina reef-system, Cuba in November of 2017 (Signature exometabolomes of Caribbean corals and influences on reef picoplankton)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_908026_v1)
Range:	longitude = -79.59106 to -78.38107°E, latitude = 20.5065 to 21.30333°N, depth = 1.0 to 14.0m
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

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Constraints	Optional Constraint #1		Optional Constraint #2

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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 {
  reef {
    String long_name "Reef";
    String units "unitless";
  }
  site {
    String long_name "Site";
    String units "unitless";
  }
  date {
    String long_name "Date";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 20.5065, 21.30333;
    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 -79.59106, -78.38107;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Int32 actual_range 1, 14;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  biome {
    String long_name "Biome";
    String units "unitless";
  }
  sampling_depth {
    String long_name "Sampling_depth";
    String units "unitless";
  }
  grouping {
    String long_name "Grouping";
    String units "unitless";
  }
  DOC {
    Float32 actual_range 63.3, 79.1;
    String long_name "Doc";
    String units "micro molar (uM)";
  }
  DN {
    Float32 actual_range 2.1, 7.1;
    String long_name "Dn";
    String units "micro molar (uM)";
  }
  TOC {
    Float32 actual_range 59.7, 84.5;
    String long_name "Toc";
    String units "micro molar (uM)";
  }
  TN {
    Float32 actual_range 0.1, 5.5;
    String long_name "Tn";
    String units "micro molar (uM)";
  }
  Pro {
    Float32 actual_range 16566.0, 60525.0;
    String long_name "Pro";
    String units "cells per mL";
  }
  Syn {
    Int32 actual_range 9900, 67106;
    String long_name "Syn";
    String units "cells per mL";
  }
  Pico {
    Float32 actual_range 400.875, 2714.0;
    String long_name "Pico";
    String units "cells per mL";
  }
  Hbact {
    Float32 actual_range 314367.0, 703575.0;
    String long_name "Hbact";
    String units "cells per mL";
  }
  Totalcells {
    Int32 actual_range 373865, 731799;
    String long_name "Totalcells";
    String units "cells per mL";
  }
  PO4 {
    Float32 actual_range 0.16, 0.21;
    String long_name "Po4";
    String units "micro molar (uM)";
  }
  SI {
    Float32 actual_range 0.9, 1.91;
    String long_name "Si";
    String units "micro molar (uM)";
  }
  NO2 {
    Float32 actual_range 0.02, 0.06815;
    String long_name "No2";
    String units "micro molar (uM)";
  }
  NO3 {
    Float32 actual_range -0.04, 0.36;
    String long_name "No3";
    String units "micro molar (uM)";
  }
  NH4 {
    Float32 actual_range 0.04, 1.59;
    String long_name "Nh4";
    String units "micro molar (uM)";
  }
  DON {
    Float32 actual_range 1.9, 6.75;
    String long_name "Don";
    String units "micro molar (uM)";
  }
  TON {
    Float32 actual_range -0.2, 5.1;
    String long_name "Ton";
    String units "micro molar (uM)";
  }
  Temp {
    Float32 actual_range 27.749, 28.842;
    String long_name "Temp";
    String units "degrees Celsius";
  }
  pH {
    Float32 actual_range 8.15, 8.31;
    String long_name "Ph";
    String units "pH scale";
  }
  Sal {
    Float32 actual_range 36.87, 37.54;
    String long_name "Sal";
    String units "parts per thousand (ppt)";
  }
  DO {
    Float32 actual_range 5.44, 8.13;
    String long_name "Do";
    String units "mg per L";
  }
  Tchl {
    Float32 actual_range 0.08, 0.94;
    String long_name "Tchl";
    String units "micrograms per L";
  }
  TchltoPhaeo {
    Float32 actual_range 0.73, 2.5;
    String long_name "Tchltophaeo";
    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.908026.1";
    Float64 Easternmost_Easting -78.38107;
    Float64 geospatial_lat_max 21.30333;
    Float64 geospatial_lat_min 20.5065;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -78.38107;
    Float64 geospatial_lon_min -79.59106;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 14.0;
    Float64 geospatial_vertical_min 1.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-20T11:26:32Z (local files)
2024-11-20T11:26:32Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_908026_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/908026";
    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 21.30333;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 20.5065;
    String summary 
"Reef depth and reef surface seawater samples were collected from reefs in Jardines de la Reina and subjected to targeted and untargeted liquid chromatography mass spectrometry (LC-MS) methods in addition to a suite of biogeochemical measurements (inorganic and organic nutrient concentrations, microbial cell abundances, chlorophyll a concentrations, and physicochemical properties). 
Raw and .mzML data files from the LC-MS methods are located at MetaboLights database, using accession number MTBLS1820. The link is: https://www.ebi.ac.uk/metabolights/MTBLS1820/.

These data were published in Weber et al. (2020).";
    String title "[Reef seawater biogeochemistry from the Jardines de la Reina reef-system] - Reef seawater biogeochemistry data from samples collected in the Jardines de la Reina reef-system, Cuba in November of 2017 (Signature exometabolomes of Caribbean corals and influences on reef picoplankton)";
    Float64 Westernmost_Easting -79.59106;
  }
}

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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