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Dataset Title:	Multiparametric mission along the eastern ligurian coast from Cinque Terre to Marina di Massa
Institution:	INGV, OceanHis SrL (Dataset ID: ingv-lasomma_sensors_data_sea_quality_move_cinqueterre_massa)
Range:	longitude = 9.58934 to 10.10792°E, latitude = 43.88787 to 44.13276°N, time = 2025-07-26T12:40:00.000Z to 2025-08-01T12:20:00.000Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| 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";
  }
  cruise {
    String long_name "Cruise";
  }
  station {
    Int16 _FillValue 32767;
    Int16 actual_range 27468, 28622;
    String long_name "Station";
  }
  type {
    String long_name "Type";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.7535336e+9, 1.7540508e+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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 43.88787, 44.13276;
    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";
    Float32 actual_range 9.58934, 10.10792;
    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";
  }
  temp {
    Float32 actual_range 25.08, 27.12;
    String long_name "Temperature";
  }
  psal {
    Float32 actual_range 37.61, 38.35;
    String long_name "Psal";
  }
  alky {
    Float32 actual_range 8.39, 8.47;
    String long_name "Alky";
  }
  cpwc {
    Float32 _FillValue NaN;
    Float32 actual_range 0.01, 1.14;
    String long_name "CPWC";
  }
  phyc {
    Float32 _FillValue NaN;
    String long_name "PHYC";
  }
  tsed {
    Float32 _FillValue NaN;
    String long_name "Tsed";
  }
  wbrx {
    Float32 actual_range 111.98, 181.92;
    String long_name "WBRX";
  }
  cmfl {
    String long_name "CMFL";
  }
  deph {
    Float32 actual_range 0.5, 0.5;
    String long_name "Deph";
  }
  doxy_mg_l {
    String long_name "Doxy Mg L";
  }
  doxy_perc {
    String long_name "Doxy Perc";
  }
  qv_odv_sample {
    String long_name "Qv Odv Sample";
  }
 }
  NC_GLOBAL {
    String acquisition_frequence "5 minutes";
    String acquisition_methodology "Data collected at 0.5 meter depth with the boat sailing";
    String acquisition_mode "real time";
    String cdm_data_type "Other";
    String Conventions "CF-1.8";
    String creator_email "inches@idata.com";
    String creator_name "Inches, Antonio";
    String creator_orcid "https://orcid.org/0000-0002-7033-1628";
    String creator_type "person";
    String data_format_original "CSV";
    String data_version "Version 1, 2025-08-01";
    String documentation "https://indra.artys.it/INGVRAISE/index.html; https://raise-spoke3.s4raise.it/project01";
    Float64 Easternmost_Easting 10.10792;
    Float64 geospatial_lat_max 44.13276;
    Float64 geospatial_lat_min 43.88787;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 10.10792;
    Float64 geospatial_lon_min 9.58934;
    String geospatial_lon_units "degrees_east";
    String history 
"2026-04-03T04:33:23Z (local files)
2026-04-03T04:33:23Z https://erddap.s4raise.it/tabledap/ingv-lasomma_sensors_data_sea_quality_move_cinqueterre_massa.das";
    String infoUrl "https://indra.artys.it/INGVRAISE/index.html";
    String inspire "Oceanographic geographical features";
    String institution "INGV, OceanHis SrL";
    String institution_country "IT, IT";
    String institution_edmo_code ", 6101";
    String keywords "chlorophyll, Earth Science > Oceans > Ocean Chemistry > Oxygen (90Aa8838-79Bd-4B28-B518-8217E863C385), Earth Science > Oceans > Ocean Chemistry > Ph (4433600B-F323-458A-B295-352F939Aab6B), Earth Science > Oceans > Ocean Optics > Chlorophyll (15Cc550B-068C-49F4-B082-Bc2A43675606), Earth Science > Oceans > Ocean Optics > Turbidity (F0D83687-Bc0A-4491-Bb3E-697F1018Da13), Earth Science > Oceans > Ocean Temperature > Water Temperature (46206E8C-8Def-406F-9E62-Da4E74633A58), Earth Science > Oceans > Salinity/Density > Salinity (7E95B5Fc-1D58-431A-Af36-948B29Fa870D), Multiparametric parametres, oxygen, pH, phycoerythrin, redox, salinity, temperature, turbidity";
    String keywords_vocabulary "GEMET";
    String language "XML";
    String license "CC-BY 4.0";
    String maintainer "ETT SpA";
    String naming_authority "lasomma";
    Float64 Northernmost_Northing 44.13276;
    String owner "OceanHis SrL";
    String owner_url "info@oceanhis.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 SpA";
    String site_name "44.1038081999999";
    String source "IoT Blue Box OceanHis";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 43.88787;
    String standard_name_vocabulary "CF Standard Name Table v79";
    String subsetVariables "ext_id, cruise, type, cmfl, deph, qv_odv_sample";
    String summary "An IoT - blue box system installed on a 'boat of opportunity'  measured temperature, salinity, pH, redox, chlorophyll, oxygen, phycoerythrin and turbidity at a depth of 0.5 meters at 5-minute intervals on the continental shelf off Cinque Terre and La Spezia";
    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 "2025-08-01T12:20:00.000Z";
    String time_coverage_start "2025-07-26T12:40:00.000Z";
    String title "Multiparametric mission along the eastern ligurian coast from Cinque Terre to Marina di Massa";
    String visibility "public";
    Float64 Westernmost_Easting 9.58934;
  }
}

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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