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Dataset Title:  Meteorological data collected using the MeteoTracker device Subscribe RSS
Institution:  ETT   (Dataset ID: meteotracker)
Range: longitude = -23.313072 to 12.387901°E, latitude = 0.0 to 65.74744°N, altitude = -128.0 to 126.0m, time = 2022-06-26T06:09:50Z to 2026-04-02T17:53:42Z
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Subset | Data Access Form
 
Graph Type:  ?
X Axis: 
Y Axis: 
Color: 
-1+1
 
Constraints ? Optional
Constraint #1 ?
Optional
Constraint #2 ?
       
       
       
       
       
 
Server-side Functions ?
 distinct() ?
? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")
 
Graph Settings
Marker Type:   Size: 
Color: 
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   
 
(Please be patient. It may take a while to get the data.)
 
Optional:
Then set the File Type: (File Type information)
and
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
Zoom: 
Time range:    |<   -       
[The graph you specified. Please be patient.]

 

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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.65622379e+9, 1.775152422e+9;
    String axis "T";
    Float64 colorBarMaximum 1.8e+9;
    Float64 colorBarMinimum 1.65e+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, 65.747439;
    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 -23.313073, 12.387901;
    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";
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range -128, 126;
    String axis "Z";
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum -100.0;
    String ioos_category "Location";
    String long_name "Altitude";
    String positive "up";
    String standard_name "altitude";
    String units "m";
  }
  speed {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range -3, 126;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum -50.0;
    String long_name "Speed";
  }
  temperature {
    Float32 actual_range -10.2, 38.6;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    String long_name "Temperature";
  }
  humidity {
    Byte _FillValue 99;
    String _Unsigned "false";
    Byte actual_range 3, 100;
    Float64 colorBarMaximum 120.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Humidity";
  }
  pressure {
    Int16 _FillValue 32767;
    Int16 actual_range 830, 1053;
    Float64 colorBarMaximum 1050.0;
    Float64 colorBarMinimum 850.0;
    String long_name "Pressure";
  }
  dew_point {
    Float32 actual_range -30.4, 27.5;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -40.0;
    String long_name "Dew Point";
  }
  solar_radiation_index {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 18.0;
    Float64 colorBarMaximum 20.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Solar Radiation Index";
  }
  humidex {
    Float32 actual_range -14.6, 53.1;
    Float64 colorBarMaximum 60.0;
    Float64 colorBarMinimum -20.0;
    String long_name "Humidex";
  }
  tag {
    String long_name "tag";
  }
  potential_temperature {
    Float32 actual_range 266.4, 337.8;
    Float64 colorBarMaximum 340.0;
    Float64 colorBarMinimum 260.0;
    String long_name "Potential Temperature";
  }
  D {
    Float64 actual_range 1.0177761520848996, 1.318329373289783;
    Float64 colorBarMaximum 1.35;
    Float64 colorBarMinimum 1.05;
    String long_name "D";
  }
 }
  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.18926334";
    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 12.387901;
    String featureType "Point";
    Float64 geospatial_lat_max 65.747439;
    Float64 geospatial_lat_min 0.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 12.387901;
    Float64 geospatial_lon_min -23.313073;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 126.0;
    Float64 geospatial_vertical_min -128.0;
    String geospatial_vertical_positive "up";
    String geospatial_vertical_units "m";
    String history 
"2026-04-03T00:05:13Z (local files)
2026-04-03T00:05:13Z http://erddap.s4oceandata.eu/erddap/tabledap/meteotracker.das
2026-04-03T04:34:23Z https://erddap.s4oceandata.eu/erddap/tabledap/meteotracker
2026-04-03T04:34:23Z https://erddap.s4raise.it/tabledap/meteotracker.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 65.747439;
    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.18926334";
    String sensors "MeteoTraker by Iotopon";
    String source "Data was collected by using Meteotracker device";
    String sourceUrl "https://erddap.s4oceandata.eu/erddap/tabledap/meteotracker";
    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-22days";
    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 "2026-04-02T17:53:42Z";
    String time_coverage_start "2022-06-26T06:09:50Z";
    String title "Meteorological data collected using the MeteoTracker device";
    String visibility "public";
    Float64 Westernmost_Easting -23.313073;
  }
}

 

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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