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Dataset Title:  [Euphotic Zone] - Estimates of Euphotic Zone (EZ) depths from R/V Roger
Revelle cruise RR2201 in the Eastern Indian Ocean (Argo Basin) from February to
March 2022 (Collaborative Research: Mesoscale variability in nitrogen sources
and food-web dynamics supporting larval southern bluefin tuna in the eastern
Indian Ocean)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_943861_v1)
Range: longitude = 114.157 to 119.497°E, latitude = -17.182 to -13.01°N, time = 2022-02-04T04:27:00Z to 2022-03-01T07:39:00Z
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | 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:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Cruise {
    String long_name "Cruise";
    String units "unitless";
  }
  Event {
    String long_name "Event";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.64394882e+9, 1.64612034e+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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -17.182, -13.01;
    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 114.157, 119.497;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Cycle_Day {
    String long_name "Cycle_day";
    String units "unitless";
  }
  CTD_Cast {
    Int32 actual_range 14, 149;
    String long_name "Ctd_cast";
    String units "unitless";
  }
  PAR_5m {
    Int32 actual_range 35, 1234;
    String long_name "Par_5m";
    String units "umoles of photons m-2 s-1";
  }
  PAR_100m {
    Float32 actual_range 0.1, 6.8;
    String long_name "Par_100m";
    String units "umoles of photons m-2 s-1";
  }
  Ext_Coeff {
    Float32 actual_range 0.047, 0.068;
    String long_name "Ext_coeff";
    String units "reciprocal meters (m-1)";
  }
  EZ_1pcnt {
    Float32 actual_range 67.3, 98.1;
    String long_name "Ez_1pcnt";
    String units "meters (m)";
  }
 }
  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.943861.1";
    Float64 Easternmost_Easting 119.497;
    Float64 geospatial_lat_max -13.01;
    Float64 geospatial_lat_min -17.182;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 119.497;
    Float64 geospatial_lon_min 114.157;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-12-27T07:37:06Z (local files)
2024-12-27T07:37:06Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_943861_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/943861";
    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 -13.01;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -17.182;
    String summary "This dataset contains estimates of Euphotic Zone (EZ) depths based on mean light extinction coefficients calculated from PAR sensor readings at 5 and 100 meters from cruise RR2201 on R/V Roger Revelle (BLOOFINZ-IO, January-March 2022) in the Argo Basin region off NW Australia.";
    String time_coverage_end "2022-03-01T07:39:00Z";
    String time_coverage_start "2022-02-04T04:27:00Z";
    String title "[Euphotic Zone] - Estimates of Euphotic Zone (EZ) depths from R/V Roger Revelle cruise RR2201 in the Eastern Indian Ocean (Argo Basin) from February to March 2022 (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean)";
    Float64 Westernmost_Easting 114.157;
  }
}

 

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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