BCO-DMO ERDDAP
Accessing BCO-DMO data

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Dataset Title:	[SCCS Diazotroph Abundances] - Hydrological, biogeochemcial and N2-fixer qPCR- derived abundance data for May 2017 (SP1714) and October (SP1724) SCCS cruises. (Collaborative Research: Biogeochemical significance of the abundant, uncultivated symbiotic cyanobacteria UCYN-A)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_881028_v1)
Range:	longitude = -120.249 to -114.931°E, latitude = 28.288 to 33.825°N, depth = 2.0 to 200.0m
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 {
  Cruise {
    String long_name "Cruise";
    String units "unitless";
  }
  Station {
    Float32 actual_range 1.0, 17.0;
    String long_name "Station";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Int32 actual_range 2, 200;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 28.288, 33.825;
    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 -120.249, -114.931;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Sample_Date {
    String long_name "Sample_date";
    String units "unitless";
  }
  bottom_depth {
    String long_name "Bottom_depth";
    String units "meters (m)";
  }
  mix_layer_depth {
    Int32 actual_range 4, 53;
    String long_name "Mix_layer_depth";
    String units "meters (m)";
  }
  temperature {
    Float32 actual_range 8.43, 21.76;
    String long_name "Temperature";
    String units "Degrees Celcius (°C)";
  }
  salinity {
    Float32 actual_range 33.12, 34.42;
    String long_name "Salinity";
    String units "psu";
  }
  oxygen {
    Float32 actual_range 0.6, 7.59;
    String long_name "Oxygen";
    String units "milliliters per liter (mL L-1)";
  }
  fluorescence {
    Float32 actual_range -0.08, 13.63;
    String long_name "Fluorescence";
    String units "milligrams per cubic meters (mg m-3)";
  }
  PAR {
    Float32 actual_range 0.0, 1890.0;
    String long_name "Par";
    String units "unitless";
  }
  potential_density {
    Float32 actual_range 23.19, 26.5;
    String long_name "Potential_density";
    String units "kilograms per cubic meters (kg m-3)";
  }
  Nitrate {
    Float32 actual_range 0.0, 29.2;
    String long_name "Nitrate";
    String units "micromoles (µM)";
  }
  Phosphate {
    Float32 actual_range 0.0, 4.0;
    String long_name "Phosphate";
    String units "micromoles (µM)";
  }
  P {
    Float32 actual_range -0.81, 3.91;
    String long_name "P";
    String units "unitless";
  }
  chla_ave {
    Float32 actual_range 0.004, 7.547;
    String long_name "Chla_ave";
    String units "micrograms per liter (µg L-1)";
  }
  chla_stdev {
    Float32 actual_range 0.0, 0.916;
    String long_name "Chla_stdev";
    String units "micrograms per liter (µg L-1)";
  }
  UCYN_A1_ave {
    Int32 actual_range 34, 4902800;
    String long_name "Ucyn_a1_ave";
    String units "nitrogenase gene per liter (nifH L-1)";
  }
  UCYN_A1_stdev {
    Int32 actual_range 4, 921180;
    String long_name "Ucyn_a1_stdev";
    String units "nitrogenase gene per liter (nifH L-1)";
  }
  UCYN_A1_DNQ {
    String long_name "Ucyn_a1_dnq";
    String units "unitless";
  }
  UCYN_A2_ave {
    Int32 actual_range 16, 618611;
    String long_name "Ucyn_a2_ave";
    String units "nitrogenase gene per liter (nifH L-1)";
  }
  UCYN_A2_stdev {
    Int32 actual_range 2, 69261;
    String long_name "Ucyn_a2_stdev";
    String units "nitrogenase gene per liter (nifH L-1)";
  }
  UCYN_A2_DNQ {
    String long_name "Ucyn_a2_dnq";
    String units "unitless";
  }
  UCYN_B_ave {
    Int32 actual_range 48, 509;
    String long_name "Ucyn_b_ave";
    String units "nitrogenase gene per liter (nifH L-1)";
  }
  UCYN_B_stdev {
    String long_name "Ucyn_b_stdev";
    String units "nitrogenase gene per liter (nifH L-1)";
  }
  UCYN_B_DNQ {
    String long_name "Ucyn_b_dnq";
    String units "unitless";
  }
  Tricho_ave {
    String long_name "Tricho_ave";
    String units "nitrogenase gene per liter (nifH L-1)";
  }
  Tricho_stdev {
    String long_name "Tricho_stdev";
    String units "nitrogenase gene per liter (nifH L-1)";
  }
  Tricho_DNQ {
    String long_name "Tricho_dnq";
    String units "unitless";
  }
  Het_2_ave {
    Int32 actual_range 22, 22401;
    String long_name "Het_2_ave";
    String units "nitrogenase gene per liter (nifH L-1)";
  }
  Het_2_stdev {
    Int32 actual_range 0, 2996;
    String long_name "Het_2_stdev";
    String units "nitrogenase gene per liter (nifH L-1)";
  }
  Het_2_DNQ {
    String long_name "Het_2_dnq";
    String units "unitless";
  }
  g_24774A11_ave {
    Int32 actual_range 2265, 135001;
    String long_name "G_24774a11_ave";
    String units "nitrogenase gene per liter (nifH L-1)";
  }
  g_24774A11_stdev {
    Int32 actual_range 133, 33884;
    String long_name "G_24774a11_stdev";
    String units "nitrogenase gene per liter (nifH L-1)";
  }
  g_24774A11_DNQ {
    String long_name "G_24774a11_dnq";
    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.881028.1";
    Float64 Easternmost_Easting -114.931;
    Float64 geospatial_lat_max 33.825;
    Float64 geospatial_lat_min 28.288;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -114.931;
    Float64 geospatial_lon_min -120.249;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 200.0;
    Float64 geospatial_vertical_min 2.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-09-22T02:35:47Z (local files)
2024-09-22T02:35:47Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_881028_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/881028";
    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 33.825;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 28.288;
    String summary "Hydrological, biogeochemcial and N2-fixer qPCR-derived abundance data for May 2017 (SP1714) and October (SP1724) SCCS cruises.";
    String title "[SCCS Diazotroph Abundances] - Hydrological, biogeochemcial and N2-fixer qPCR-derived abundance data for May 2017 (SP1714) and October (SP1724) SCCS cruises. (Collaborative Research: Biogeochemical significance of the abundant, uncultivated symbiotic cyanobacteria UCYN-A)";
    Float64 Westernmost_Easting -120.249;
  }
}

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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