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Dataset Title:  [Florida Keys benthic oxygen flux] - Benthic oxygen fluxes and associated
environmental data collected in the Florida Keys from 2016 to
2018 (Collaborative Research: Robust optode-based eddy correlation systems for
oxygen flux measurements in aquatic environments)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_965718_v1)
Range: longitude = -80.83092 to -80.83092°E, latitude = 24.72538 to 24.72538°N, depth = 10.0 to 10.0m
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
Graph Type:  ?
X Axis: 
Y Axis: 
Color: 
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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.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")
 
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Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   
 
(Please be patient. It may take a while to get the data.)
 
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Then set the File Type: (File Type information)
and
or view the URL:
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    Click on the map to specify a new center point. ?
Zoom: 
[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:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Date {
    String long_name "Date";
    String units "unitless";
  }
  time_unitless {
    String long_name "Time";
    String units "unitless";
  }
  ISO_DateTime_Local {
    String long_name "Iso_datetime_local";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 24.72538, 24.72538;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Site_latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -80.83092, -80.83092;
    String axis "X";
    String ioos_category "Location";
    String long_name "Site_longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Int32 actual_range 10, 10;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Site_depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  O2_Flux {
    Float32 actual_range -162.21, 200.26;
    String long_name "O2_flux";
    String units "millimoles per square meter per day (mmol m-2 d-1)";
  }
  O2_Flux_SD {
    Float32 actual_range 0.08, 64.35;
    String long_name "O2_flux_sd";
    String units "millimoles per square meter per day (mmol m-2 d-1)";
  }
  PAR {
    Float32 actual_range 0.0, 300.52;
    String long_name "Par";
    String units "micromoles photons per square meter per second (umol photons m-2 s-1)";
  }
  Current_velocity {
    Float32 actual_range 0.94, 21.04;
    String long_name "Current_velocity";
    String units "meters per second (m s-1)";
  }
  Significant_wave_height {
    Float32 actual_range 0.05, 0.3;
    String long_name "Significant_wave_height";
    String units "meters (m)";
  }
  T_Ref_1 {
    Float32 actual_range 25.23, 30.41;
    String long_name "T_ref_1";
    String units "degrees Celsius";
  }
  T_Ref_2 {
    Float32 actual_range 25.24, 30.41;
    String long_name "T_ref_2";
    String units "degrees Celsius";
  }
  O2_Ref_1 {
    Float32 actual_range 235.36, 282.39;
    String long_name "O2_ref_1";
    String units "micromoles per liter (umol l-1)";
  }
  O2_Ref_2 {
    Float32 actual_range 234.98, 290.29;
    String long_name "O2_ref_2";
    String units "micromoles per liter (umol l-1)";
  }
 }
  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.965718.1";
    Float64 Easternmost_Easting -80.83092;
    Float64 geospatial_lat_max 24.72538;
    Float64 geospatial_lat_min 24.72538;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -80.83092;
    Float64 geospatial_lon_min -80.83092;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 10.0;
    Float64 geospatial_vertical_min 10.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2025-06-29T04:24:30Z (local files)
2025-06-29T04:24:30Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_965718_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/965718";
    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 24.72538;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 24.72538;
    String summary "A new triple-sensor aquatic eddy covariance instrument was deployed at ~10 meters water depth in the Florida Keys, USA to quantify seasonal oxygen fluxes over a coral sand platform. The non-invasive measurements revealed the influences of light and bottom currents on magnitude and dynamics of the benthic metabolism.";
    String title "[Florida Keys benthic oxygen flux] - Benthic oxygen fluxes and associated environmental data collected in the Florida Keys from 2016 to 2018 (Collaborative Research: Robust optode-based eddy correlation systems for oxygen flux measurements in aquatic environments)";
    Float64 Westernmost_Easting -80.83092;
  }
}

 

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.

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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