ERDDAP > tabledap > Data Access Form

Dataset Title:	AIRQino artic stations
Institution:	CNR-IBE   (Dataset ID: airqino)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Subset | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum    or a List of Values	Maximum
time (UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2024-04-01T01:00:00Z	2025-02-10T10:00:00Z
co (count)	!= =~ <= >= = < >		!= =~ <= >= = < >		203	681
co2 (ppm)	!= =~ <= >= = < >		!= =~ <= >= = < >		381.3333	1102.933
extT (Air Temperature, degree_C)	!= =~ <= >= = < >		!= =~ <= >= = < >		-20	33
intT (Internal Temperature, degree_C)	!= =~ <= >= = < >		!= =~ <= >= = < >		-1	54
no2 (counts)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	772.2
o3 (count)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	772.2
pm10 (ugm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	194.9667
pm25 (ugm-3)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	30.56667
rh (%)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	100
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		79	79
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		12	12
stationID	!= =~ <= >= = < >		!= =~ <= >= = < >		"SMART265" "SMART266" "SMART267" "SMART268"
timestamp (UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2024-05-06T14:55:12.101Z	2025-02-10T10:08:21.636Z
author	!= =~ <= >= = < >		!= =~ <= >= = < >		"airqino"	"airqino"
command	!= =~ <= >= = < >		!= =~ <= >= = < >		0	0

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" time co co2 extT intT no2 o3 pm10 pm25 rh latitude longitude stationID timestamp author command time co co2 extT intT no2 o3 pm10 pm25 rh latitude longitude stationID timestamp author command time co co2 extT intT no2 o3 pm10 pm25 rh latitude longitude stationID timestamp author command time co co2 extT intT no2 o3 pm10 pm25 rh latitude longitude stationID timestamp author command time co co2 extT intT no2 o3 pm10 pm25 rh latitude longitude stationID timestamp author command ")

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

(Documentation / Bypass this form )
 
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.7119332e+9, 1.7391816e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  co {
    Int32 actual_range 203, 681;
    String long_name "Co";
    Int32 missing_value 2147483647;
    String units "count";
  }
  co2 {
    Float32 actual_range 381.3333, 1102.933;
    String long_name "CO2";
    Float32 missing_value NaN;
    String units "ppm";
  }
  extT {
    Int32 actual_range -20, 33;
    String long_name "Air Temperature";
    Int32 missing_value 2147483647;
    String units "degree_C";
  }
  intT {
    Int32 actual_range -1, 54;
    String long_name "Internal Temperature";
    Int32 missing_value 2147483647;
    String units "degree_C";
  }
  no2 {
    Float32 actual_range 0.0, 772.2;
    String long_name "NO2";
    Float32 missing_value NaN;
    String units "counts";
  }
  o3 {
    Float32 actual_range 0.0, 772.2;
    String long_name "O3";
    Float32 missing_value NaN;
    String units "count";
  }
  pm10 {
    Float32 actual_range 0.0, 194.9667;
    String long_name "PM10";
    Float32 missing_value NaN;
    String units "ugm-3";
  }
  pm25 {
    Float32 actual_range 0.0, 30.56667;
    String long_name "PM25";
    Float32 missing_value NaN;
    String units "ugm-3";
  }
  rh {
    Int32 actual_range 0, 100;
    String long_name "RH";
    Int32 missing_value 2147483647;
    String units "%";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Int32 actual_range 79, 79;
    String axis "Y";
    String colorBarMaximum "90.0";
    String colorBarMinimum "-90.0";
    String ioos_category "Location";
    String long_name "Latitude";
    Int32 missing_value 2147483647;
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Int32 actual_range 12, 12;
    String axis "X";
    String colorBarMaximum "180.0";
    String colorBarMinimum "-180.0";
    String ioos_category "Location";
    String long_name "Longitude";
    Int32 missing_value 2147483647;
    String standard_name "longitude";
    String units "degrees_east";
  }
  stationID {
    String long_name "Station ID";
  }
  timestamp {
    Float64 actual_range 1.715007312101e+9, 1.739182101636e+9;
    String ioos_category "Time";
    String long_name "Timestamp";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00.000Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  author {
    String comment "The values in this column identify the author who added each row of data to the dataset.";
    String ioos_category "Identifier";
    String long_name "Author";
  }
  command {
    String _Unsigned "false";
    Byte actual_range 0, 0;
    String flag_values "0 1";
    String ioos_category "Other";
    String long_name "Command";
    Byte missing_value 127;
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Point";
    String contributor_email "alice.cavaliere@cnr.it";
    String contributor_institution "CNR-ISP";
    String contributor_name "Alice Cavaliere";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    String creator_email "federico.carotenuto@cnr.it";
    String creator_name "CNR-IBE";
    String creator_type "institution";
    String creator_url "https://metadata.iadc.cnr.it/geonetwork/srv/api/records/6d012213-f1be-40ee-9c6d-60e37bb875be";
    Float64 Easternmost_Easting 12.0;
    String featureType "Point";
    Float64 geospatial_lat_max 79.0;
    Float64 geospatial_lat_min 79.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 12.0;
    Float64 geospatial_lon_min 12.0;
    String geospatial_lon_units "degrees_east";
    String history 
"Please note: The gaseous data (CO, NO2, O3) from AIRQino sensors are currently uncalibrated, with the provided count representing the output of the ADC. PM (Particulate Matter) and CO2 sensors are factory calibrated. SMART266 provides indoor measurements.
2025-03-12T12:17:09Z (local files)
2025-03-12T12:17:09Z https://data.iadc.cnr.it/erddap/tabledap/airqino.html";
    String httpGetDirectoryStructure "stationID/10years";
    String httpGetRequiredVariables "stationID,time";
    String infoUrl "https://metadata.iadc.cnr.it/geonetwork/srv/api/records/6d012213-f1be-40ee-9c6d-60e37bb875be";
    String institution "CNR-IBE";
    String keywords "airqino, artic, author, carbon, carbon dioxide, cnr, co2, command, concentration, council, data, dioxide, ext, extT, identifier, int, intT, italy, latitude, longitude, mole, mole_concentration_of_nitrite_in_sea_water, national, nitrite, no2, pm10, pm25, research, sea, seawater, station, stationID, stations, time, timestamp, water";
    String license "CC BY-NC: This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.";
    Float64 Northernmost_Northing 79.0;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 79.0;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "stationID";
    String summary "AIRQino stations are low-cost sensors providing information about the concentration of CO2, gaseous pollutants, particulate matter, air temperature and relative humidity.";
    String testOutOfDate "now-1day";
    String time_coverage_end "2025-02-10T10:00:00Z";
    String time_coverage_start "2024-04-01T01:00:00Z";
    String title "AIRQino artic stations";
    Float64 Westernmost_Easting 12.0;
  }
}

 

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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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