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Dataset Title:	Meteorological data collected by Genoa bus activities using the MeteoTracker device
Institution:	ETT (Dataset ID: meteotracker_bus)
Range:	longitude = 0.0 to 9.033303°E, latitude = 0.0 to 44.502502°N, altitude = -603.0 to 460.0m, time = 2026-01-01T00:00:01Z to 2026-04-02T17:52:43Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Subset \| Data Access Form

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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:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.767225601e+9, 1.775152363e+9;
    String axis "T";
    Float64 colorBarMaximum 1.7685e+9;
    Float64 colorBarMinimum 1.767e+9;
    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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 0.0, 44.50250352542373;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range 0.0, 9.0333033;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  altitude {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "up";
    Int16 _FillValue 32767;
    Int16 actual_range -603, 460;
    String axis "Z";
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum -50.0;
    String ioos_category "Location";
    String long_name "Altitude";
    String positive "up";
    String standard_name "altitude";
    String units "m";
  }
  speed {
    Float64 actual_range 0.0, 81.0;
    Float64 colorBarMaximum 80.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Speed";
  }
  carbon_dioxide {
    Byte _FillValue -99;
    String _Unsigned "false";
    Byte actual_range -102, -46;
    Float64 colorBarMaximum -40.0;
    Float64 colorBarMinimum -100.0;
    String long_name "Carbon Dioxide";
  }
  pressure {
    Float32 actual_range 938.8, 1053.2;
    Float64 colorBarMaximum 1030.0;
    Float64 colorBarMinimum 980.0;
    String long_name "Pressure";
  }
  humidity {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 3, 100;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Humidity";
  }
  temperature {
    Float32 actual_range -2.0, 24.0;
    Float64 colorBarMaximum 20.0;
    Float64 colorBarMinimum -5.0;
    String long_name "Temperature";
  }
  dew_point {
    Float32 actual_range -26.8, 14.4;
    Float64 colorBarMaximum 20.0;
    Float64 colorBarMinimum -20.0;
    String long_name "Dew Point";
  }
  humidex {
    Float32 actual_range -5.6, 25.5;
    Float64 colorBarMaximum 20.0;
    Float64 colorBarMinimum -10.0;
    String long_name "Humidex";
  }
  potential_temperature {
    Float32 actual_range 276.7, 317.1;
    Float64 colorBarMaximum 310.0;
    Float64 colorBarMinimum 270.0;
    String long_name "Potential Temperature";
  }
  tag {
    String long_name "tag";
  }
  D {
    Float64 actual_range 1.1714254048059938, 1.2983545772518215;
    Float64 colorBarMaximum 1.3;
    Float64 colorBarMinimum 1.2;
    String long_name "D";
  }
  vertical_temperature_gradient {
    Float32 _FillValue NaN;
    Float32 actual_range -14.0, 5.0;
    Float64 colorBarMaximum 6.0;
    Float64 colorBarMinimum -4.0;
    String long_name "Vertical Temperature Gradient";
  }
  solar_radiation_index {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 17.0;
    Float64 colorBarMaximum 8.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Solar Radiation Index";
  }
 }
  NC_GLOBAL {
    String acquisition_methodology "MeteoTraker by Iotopon";
    String acquisition_mode "real time";
    String cdm_data_type "Point";
    String contributors_email "giulia.dapueto@dedagroup.it; antonio.novellino@dedagroup.it";
    String contributors_name "Dapueto, Giulia; Novellino, Antonio";
    String contributors_orcid "0000-0002-3263-5583; 0000-0003-4020-2056";
    String contributors_role "data collector; data curator";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info.ett@dedagroup.it";
    String creator_name "ETT";
    String creator_type "institution";
    String creator_url "https://ettsolutions.com/smartcity/";
    String data_doi "10.5281/zenodo.18926365";
    String data_format_original "csv";
    String data_version "1";
    String documentation "https://s4raise.it/dssmare/citizen_science/, https://raise-spoke3.s4raise.it/project11";
    Float64 Easternmost_Easting 9.0333033;
    String featureType "Point";
    Float64 geospatial_lat_max 44.50250352542373;
    Float64 geospatial_lat_min 0.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 9.0333033;
    Float64 geospatial_lon_min 0.0;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 460.0;
    Float64 geospatial_vertical_min -603.0;
    String geospatial_vertical_positive "up";
    String geospatial_vertical_units "m";
    String history 
"2026-04-03T00:05:14Z (local files)
2026-04-03T00:05:14Z http://erddap.s4oceandata.eu/erddap/tabledap/meteotracker_bus.das
2026-04-03T04:34:19Z https://erddap.s4oceandata.eu/erddap/tabledap/meteotracker_bus
2026-04-03T04:34:19Z https://erddap.s4raise.it/tabledap/meteotracker_bus.das";
    String infoUrl "https://www.raiseliguria.it/spoke-3/";
    String inspire "Oceanographic geographical features";
    String institution "ETT";
    String institution_country "IT";
    String institution_edmo_code "2764";
    String keywords "Solar Radiation (a0f3474e-9a54-4a82-97c4-43864b48df4c)";
    String keywords_vocabulary "GCMD Science Keywords";
    String language "XML";
    String license "CC-BY 4.0";
    String maintainer "ETT S.p.A.";
    String naming_authority "RAISE";
    Float64 Northernmost_Northing 44.50250352542373;
    String owner "ETT";
    String owner_url "https://ettsolutions.com/smartcity/";
    String project_code "RAISE";
    String project_id "ECS00000035";
    String project_name "Robotics and AI for Socio-economic Empowerment";
    String project_statement "RAISE: Robotics and AI for Socio-economic Empowerment is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5)";
    String project_url "https://www.raiseliguria.it/";
    String publisher "ETT S.p.A.";
    String references "10.5281/zenodo.18926365";
    String sensors "MeteoTraker by Iotopon";
    String source "Data was collected by Genoa bus by using Meteotracker device";
    String sourceUrl "https://erddap.s4oceandata.eu/erddap/tabledap/meteotracker_bus";
    Float64 Southernmost_Northing 0.0;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "tag";
    String summary "Collection of meteorological data from the MeteoTracker device. MeteoTracker is a low cost tool for participatory science. RAISE developed the data ingestion, data processing and workflow automation for offering added value datasets.";
    String testOutOfDate "now-2days";
    String theme_eu_data "http://publications.europa.eu/resource/authority/data-theme/ENVI";
    String theme_eurovoc "http://publications.europa.eu/resource/authority/eurovoc/100224";
    String time_coverage_end "2026-04-02T17:52:43Z";
    String time_coverage_start "2026-01-01T00:00:01Z";
    String title "Meteorological data collected by Genoa bus activities using the MeteoTracker device";
    String visibility "public";
    Float64 Westernmost_Easting 0.0;
  }
}

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.

(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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