ERDDAP > tabledap > Data Access Form

Dataset Title:	air4health_cities
Institution:	+ATLANTIC_CoLAB   (Dataset ID: air4health_cities)
Information:	Summary | License | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
tx_mean (Daily Maximun Temperature, °C)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.06	45.51
tn_mean (Daily Minimum Temperature, °C)	!= =~ <= >= = < >		!= =~ <= >= = < >		-7.34	28.57
ecf_mean (°C²)	!= =~ <= >= = < >		!= =~ <= >= = < >		-41.33	0.0
no2_avg (µg/m³)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.49996558	58.24626026
no2_excess_amount (µg/m³)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	33.24617105
severity_class (Combined risk index)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	3
severity_65 (Combined risk index >=65)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	3
severity_18 (combined risk index <18)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	3
ehf_mean (°C²)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	70.08
o3_avg (µg/m³)	!= =~ <= >= = < >		!= =~ <= >= = < >		25.5116438	196.2986822
o3_excess_amount (µg/m³)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	96.29868221
id	!= =~ <= >= = < >		!= =~ <= >= = < >		"Abrantes"	"Óbidos"
time (UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2013-01-01T00:00:00Z	2018-12-31T00:00:00Z

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" tx_mean tn_mean ecf_mean no2_avg no2_excess_amount severity_class severity_65 severity_18 ehf_mean o3_avg o3_excess_amount id time tx_mean tn_mean ecf_mean no2_avg no2_excess_amount severity_class severity_65 severity_18 ehf_mean o3_avg o3_excess_amount id time tx_mean tn_mean ecf_mean no2_avg no2_excess_amount severity_class severity_65 severity_18 ehf_mean o3_avg o3_excess_amount id time tx_mean tn_mean ecf_mean no2_avg no2_excess_amount severity_class severity_65 severity_18 ehf_mean o3_avg o3_excess_amount id time tx_mean tn_mean ecf_mean no2_avg no2_excess_amount severity_class severity_65 severity_18 ehf_mean o3_avg o3_excess_amount id time ")

File type: (more information) .json - View a table-like UTF-8 JSON file (missing value = 'null'; times are ISO 8601 strings). .wav - Download a .wav audio file. All columns must be numeric and of the same type. .kml - View a .kml file, suitable for Google Earth. .ncoJson - Download a UTF-8 NCO lvl=2 JSON file with COARDS/CF/ACDD metadata. .jsonlCSV1 - View a UTF-8 JSON Lines CSV file with column names on line 1 (mv = 'null'; times are ISO 8601 strings). .jsonlCSV - View a UTF-8 JSON Lines CSV file without column names (mv = 'null'; times are ISO 8601 strings). .tsvp - Download a ISO-8859-1 .tsv file with line 1: name (units). Times are ISO 8601 strings. .pdf - View a standard, medium-sized .pdf image file with a graph or map. .nccsv - Download a NetCDF-3-like 7-bit ASCII NCCSV .csv file with COARDS/CF/ACDD metadata. .htmlTable - View a UTF-8 .html web page with the data in a table. Times are ISO 8601 strings. .esriCsv - Download a ISO_8859_1 .csv file for ESRI's ArcGIS 9.x and below (separate date and time columns). .geoJson - Download longitude,latitude,otherColumns data as a UTF-8 GeoJSON .json file. .csvp - Download a ISO-8859-1 .csv file with line 1: name (units). Times are ISO 8601 strings. .transparentPng - View a .png image file (just the data, without axes, landmask, or legend). .parquetWMeta - Download as a parquet file with detailed metadata. .tsv - Download a ISO-8859-1 tab-separated text table (line 1: names; line 2: units; ISO 8601 times). .png - View a standard, medium-sized .png image file with a graph or map. .largePdf - View a large .pdf image file with a graph or map. .dods - OPeNDAP clients use this to download the data in the DODS binary format. .iso19115 - View the dataset's ISO 19115-2/19139 UTF-8 .xml metadata. .ncCFHeader - View the UTF-8 header (the metadata) for the .ncCF file. .ncHeader - View the UTF-8 header (the metadata) for the NetCDF-3 .nc file. .jsonlKVP - View a UTF-8 JSON Lines file with Key:Value pairs (missing value = 'null'; times are ISO 8601 strings). .croissant - Download the dataset croissant schema. .tsv0 - Download a ISO-8859-1 .tsv file without column names or units. Times are ISO 8601 strings. .largePng - View a large .png image file with a graph or map. .nc - Download a flat, table-like, NetCDF-3 binary file with COARDS/CF/ACDD metadata. .csv - Download a ISO-8859-1 comma-separated text table (line 1: names; line 2: units; ISO 8601 times). .dds - View the dataset's structure via an ISO-8859-1 OPeNDAP Dataset Descriptor Structure (DDS). .csv0 - Download a ISO-8859-1 .csv file without column names or units. Times are ISO 8601 strings. .smallPdf - View a small .pdf image file with a graph or map. .xhtml - View a UTF-8 XHTML (XML) file with the data in a table. Times are ISO 8601 strings. .dataTable - A JSON file formatted for use with the Google Visualization client library (Google Charts). .das - View the dataset's metadata via an ISO-8859-1 OPeNDAP Dataset Attribute Structure (DAS). .nccsvMetadata - View the dataset's metadata as the top half of a 7-bit ASCII NCCSV .csv file. .odvTxt - Download longitude,latitude,time,otherColumns as an ISO-8859-1 ODV Generic Spreadsheet File (.txt). .ncCF - Download a NetCDF-3 CF Discrete Sampling Geometries file (Contiguous Ragged Array). .fgdc - View the dataset's UTF-8 FGDC .xml metadata. .itx - Download an ISO-8859-1 Igor Text File. Each response column becomes a wave. .asc - View OPeNDAP-style ISO-8859-1 comma-separated text. .ncCFMAHeader - View the UTF-8 header (the metadata) for the .ncCFMA file. .smallPng - View a small .png image file with a graph or map. .parquet - Download as a parquet file. Metadata contains column names ("column_names") and units ("column_units"). .ncCFMA - Download a NetCDF-3 CF Discrete Sampling Geometries file (Multidimensional Array). .mat - Download a MATLAB binary file.

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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 
"2026-07-21T22:32:12Z (local files)
2026-07-21T22:32:12Z http://localhost:8080/erddap/tabledap/air4health_cities.html";
    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";
  }
}

 

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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 Data Access Protocol (DAP) and its selection constraints.

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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