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ERDDAP > tabledap > Make A Graph ?

Dataset Title:  air4health_cities Subscribe RSS
Institution:  +ATLANTIC_CoLAB   (Dataset ID: air4health_cities)
Range: time = 2013-01-01T00:00:00Z to 2018-12-31T00:00:00Z
Information:  Summary ? | License ? | 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 {
  tx_mean {
    Float64 _FillValue -99999.0;
    Float64 actual_range 0.06, 45.51;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    String ioos_category "Temperature";
    String long_name "Daily Maximun Temperature";
    String long_name_pt "Temperatura Máxima Diária";
    String units "°C";
  }
  tn_mean {
    Float64 _FillValue -99999.0;
    Float64 actual_range -7.34, 28.57;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    String ioos_category "Temperature";
    String long_name "Daily Minimum Temperature";
    String long_name_pt "Temperatura Mínima Diária";
    String units "°C";
  }
  ecf_mean {
    Float64 _FillValue -99999.0;
    Float64 actual_range -41.33, 0.0;
    String ioos_category "Statistics";
    String long_name "Daily Excess Cold Factor Intensity";
    String long_name_pt "Índice de Frio Excessivo";
    String units "°C²";
  }
  no2_avg {
    Float64 _FillValue -99999.0;
    Float64 actual_range 0.49996558, 58.24626026;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Dissolved Nutrients";
    String long_name "Daily Average Nitrogen Dioxide Concentration";
    String long_name_pt "Concentrações de NO₂";
    String standard_name "mole_concentration_of_nitrite_in_sea_water";
    String units "µg/m³";
  }
  no2_excess_amount {
    Float64 _FillValue -99999.0;
    Float64 actual_range 0.0, 33.24617105;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Dissolved Nutrients";
    String long_name "Daily Mean Nitrogen Dioxide Concentration Exceedances";
    String long_name_pt "Excedências de NO₂";
    String standard_name "mole_concentration_of_nitrite_in_sea_water";
    String units "µg/m³";
  }
  severity_class {
    Float64 _FillValue -99999;
    Float64 actual_range 0, 3;
    String ioos_category "Unknown";
    String long_name "Combined risk index";
    String long_name_pt "Índice de Risco Combinado";
  }
  severity_65 {
    Float64 _FillValue -99999;
    Float64 actual_range 0, 3;
    String ioos_category "Unknown";
    String long_name "Combined risk index >=65";
    String long_name_pt "Índice de Risco Combinado >=65";
  }
  severity_18 {
    Float64 _FillValue -99999;
    Float64 actual_range 0, 3;
    String ioos_category "Unknown";
    String long_name "combined risk index <18";
    String long_name_pt "Índice de Risco Combinado <18";
  }
  ehf_mean {
    Float64 _FillValue -99999.0;
    Float64 actual_range 0.0, 70.08;
    String ioos_category "Statistics";
    String long_name "Daily Excess Heat Factor Intensity";
    String long_name_pt "Índice de Calor Excessivo";
    String units "°C²";
  }
  o3_avg {
    Float64 _FillValue -99999.0;
    Float64 actual_range 25.5116438, 196.2986822;
    String ioos_category "Contaminants";
    String long_name "Daily Average Ozone Concentration";
    String long_name_pt "Concentrações de Ozono";
    String units "µg/m³";
  }
  o3_excess_amount {
    Float64 _FillValue -99999.0;
    Float64 actual_range 0.0, 96.29868221;
    String ioos_category "Contaminants";
    String long_name "Daily Mean Ozone Concentration Exceedances";
    String long_name_pt "Excedências de Ozono";
    String units "µg/m³";
  }
  id {
    String ioos_category "Identifier";
    String long_name "Id";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.3569984e+9, 1.5462144e+9;
    String axis "T";
    String calendar "proleptic_gregorian";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    String creator_name "+ATLANTIC_CoLAB";
    String creator_type "institution";
    String description "Merged AIR4Health NO2 and O3 dataset";
    String history 
"2026-07-21T22:32:11Z (local files)
2026-07-21T22:32:11Z http://localhost:8080/tabledap/air4health_cities.das";
    String infoUrl "???";
    String institution "+ATLANTIC_CoLAB";
    String keywords "+atlantic, air4health, average, cities, colab, cold, combined, concentration, contaminants, daily, data, day, dioxide, dissolved, dissolved nutrients, ecf_mean, ehf_mean, exceedances, excess, factor, heat, identifier, index, intensity, maximun, mean, minimum, mole, mole_concentration_of_nitrite_in_sea_water, nitrite, nitrogen, no2_avg, no2_excess_amount, nutrients, o3_avg, o3_excess_amount, ozone, risk, sea, seawater, severity_18, severity_65, severity_class, statistics, temperature, time, tn_mean, tx_mean, water";
    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.";
    String merge_note "NO2 and O3 files were concatenated along time because their dates are complementary.";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "air4health_cities. +ATLANTIC_CoLAB data from a local source.";
    String time_coverage_end "2018-12-31T00:00:00Z";
    String time_coverage_start "2013-01-01T00:00:00Z";
    String title "air4health_cities";
  }
}

 

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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