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Dataset Title:	Meteorological observations by Ecowitt Weather Station - ECOWITT004
Institution:	INGV, AGI srl (Dataset ID: ingv-lasomma_sensors_weather_ECOWITT004)
Range:	time = 2025-10-06T12:00:00.000Z to 2026-01-16T11:23:18.000Z
Information:	Summary \| License \| Metadata \| Background \| Subset \| 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:

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 {
  ext_id {
    String long_name "Ext Id";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.759752e+9, 1.768562598e+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 "1970-01-01T00:00:00.000Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  cum {
    String long_name "Cum";
  }
  rain_intensity {
    Int16 _FillValue 32767;
    Int16 actual_range 0, 20;
    String long_name "Rain Intensity";
  }
  air_temperature {
    Float32 _FillValue NaN;
    Float32 actual_range 9.9, 23.9;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    String long_name "Air Temperature";
    String standard_name "air_temperature";
  }
  relative_humidity {
    Float32 _FillValue NaN;
    Float32 actual_range 50.0, 94.0;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 20.0;
    String long_name "Relative Humidity";
    String standard_name "relative_humidity";
  }
  air_pressure {
    Int16 _FillValue 32767;
    Int16 actual_range 982, 1019;
    Float64 colorBarMaximum 1050.0;
    Float64 colorBarMinimum 950.0;
    String long_name "Air Pressure";
    String standard_name "air_pressure";
  }
  wind_speed {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 2.24;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Wind Speed";
    String standard_name "wind_speed";
  }
  wind_from_direction {
    Int16 _FillValue 32767;
    Int16 actual_range 3, 359;
    Float64 colorBarMaximum 360.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Wind From Direction";
    String standard_name "wind_from_direction";
  }
  wind_gust {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 3.9;
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Wind Speed Of Gust";
    String standard_name "wind_speed_of_gust";
  }
  wind_gust_from_direction {
    String long_name "Wind Gust From Direction";
  }
  battery {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 13;
    String long_name "Battery";
  }
 }
  NC_GLOBAL {
    String acquisition_frequence "The frequency of data acquisition depends on the 'interval' setting (1 minute at least)";
    String acquisition_methodology "Sensors record physical quantities continuously; the Ecowitt console aggregates measurements (e.g., 16 samples/min) and transmits averaged or instantaneous values depending on the parameter. Rainfall is measured through a tipping-bucket mechanism; wind data are collected via a cup anemometer and wind vane. The station firmware timestamps the measurements and pushes them via HTTP POST to the remote server at the configured sampling interval.";
    String acquisition_mode "Real-time / Near real-time(Depending on the configured upload interval; 1 minute in LA SOMMA portal)";
    String cdm_data_type "Other";
    String Conventions "CF-1.8";
    String creator_name "AGI srl";
    String creator_type "institution";
    String creator_url "info@agi-tech.com";
    String data_format_original "CSV";
    String data_version "Version 1.0 (Portal release date: 29/09/2025)";
    String documentation "https://indra.artys.it/INGVRAISE/index.html; https://raise-spoke3.s4raise.it/project01";
    String geospatial_lat_max "43.53918";
    String geospatial_lat_min "43.53918";
    String geospatial_lat_units "degrees_north";
    String geospatial_lon_max "10.300002";
    String geospatial_lon_min "10.300002";
    String geospatial_lon_units "degrees_east";
    String history 
"2026-04-03T04:33:29Z (local files)
2026-04-03T04:33:29Z https://erddap.s4raise.it/tabledap/ingv-lasomma_sensors_weather_ECOWITT004.das";
    String infoUrl "https://indra.artys.it/INGVRAISE/index.html";
    String inspire "Oceanographic geographical features";
    String institution "INGV, AGI srl";
    String institution_country "IT, IT";
    String institution_edmo_code ", 5205";
    String keywords "barometric pressure, Earth Science > Atmosphere > Atmospheric Pressure (08Fd82A1-4370-46A2-82Ea-94C0F91498A7), Earth Science > Atmosphere > Atmospheric Water Vapor > Warer Vapor Indicators > Humidity (427E5121-A142-41Cb-A8E9-A70B7F98Eb6A), Earth Science > Atmosphere > Atmospheric Winds > Surface Wind > Wind Speed (A92F49F3-E2Ee-4Ef4-B064-39311Ffb95D), Earth Science > Atmosphere > Precipitation (1532E590-A62D-46E3-8D03-2351Bc48166A), Ecowitt, environmental data, humidity, meteorological data, microclimate, rainfall, real-time monitoring, temperature, weather station, wind speed";
    String keywords_vocabulary "GEMET";
    String language "XML";
    String license "CC-BY 4.0";
    String maintainer "ETT S.p.A.";
    String naming_authority "lasomma";
    String owner "AGI srl";
    String owner_url "info@agi-tech.com";
    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 source "The dataset is observational. Measurements are acquired through integrated Ecowitt meteorological sensors: for example. thermohygrometers for air temperature and humidity, barometers for absolute and relative pressure, tipping-bucket rain gauges for rainfall accumulation, anemometers for wind speed and direction. Sensor data are sampled at high frequency, aggregated by the station's firmware, and transmitted through the Ecowitt protocol to the acquisition server at regular intervals.";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v79";
    String subsetVariables "ext_id, cum, wind_gust_from_direction";
    String summary "The Ecowitt Weather Station dataset provides real-time and high-frequency meteorological observations collected by a consumer-grade wireless weather station. The environmental variables monitored by the Ecowitt weather station and accessible through the LA SOMMA portal are: temperature, wind direction, wind gust, wind speed, atmospheric pressure, rainfall intensity, and relative humidity .Data are transmitted at regular intervals through the Ecowitt API. Measurements are delivered as minute-level or multi-minute time series, depending on the configured reporting interval.";
    String testOutOfDate "now-93days";
    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 "2026-01-16T11:23:18.000Z";
    String time_coverage_start "2025-10-06T12:00:00.000Z";
    String title "Meteorological observations by Ecowitt Weather Station - ECOWITT004";
    String visibility "public";
  }
}

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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