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Dataset Title:	Wave Forecast for Coastal Erosion Applications - east point
Institution:	UNIGE-DICCA (Dataset ID: unige-dicca_forecast_ww3_point_camogli)
Range:	longitude = 9.1253 to 9.1253°E, latitude = 44.31 to 44.31°N, time = 2025-10-28T00:00:00Z to 2026-04-06T14:00:00Z
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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.7616096e+9, 1.775484e+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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 44.31, 44.31;
    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 9.1253, 9.1253;
    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";
  }
  dir {
    Float64 _FillValue NaN;
    Float64 actual_range 27.053654763667097, 336.13878211975657;
    String long_name "Wave mean direction";
    String units "degree";
  }
  dp {
    Float64 _FillValue NaN;
    Float64 actual_range 21.779173045040842, 333.55374822457475;
    String long_name "Peak direction";
    String units "degree";
  }
  fp {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0762910797613983, 0.4363391707514502;
    String long_name "Wave peak frequency";
    String units "s-1";
  }
  hs {
    Float64 _FillValue NaN;
    Float64 actual_range 0.06428281543770657, 2.9980068015118526;
    String long_name "Significant height of wind and swell waves";
    String units "m";
  }
  tm {
    Float64 _FillValue NaN;
    Float64 actual_range 2.706394005861324, 10.381730018575213;
    String long_name "Mean period";
    String units "s";
  }
  forecast_date {
    String long_name "Forecast Date";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String contributors_email "meteocean.unige@gmail.com";
    String contributors_name "MeteOcean research group";
    String contributors_role "Research management";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "giovanni.besio@unige.it";
    String creator_name "Besio, Giovanni";
    String creator_orcid "0000-0002-0522-9635";
    String creator_type "person";
    String creator_url "https://forecast.meteocean.science";
    String data_doi "10.5281/zenodo.17572224";
    String data_format_original "netcdf";
    String data_version "1";
    String documentation "https://s4raise.it/dssmare/coastal_erosion/, https://raise-spoke3.s4raise.it/project06";
    Float64 Easternmost_Easting 9.1253;
    Float64 geospatial_lat_max 44.31;
    Float64 geospatial_lat_min 44.31;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 9.1253;
    Float64 geospatial_lon_min 9.1253;
    String geospatial_lon_units "degrees_east";
    String geospatial_vertical_max "automatically taken from data";
    String geospatial_vertical_min "automatically taken from data";
    String geospatial_vertical_positive "automatically taken from data";
    String history 
"2026-04-03T04:35:53Z (local files)
2026-04-03T04:35:53Z https://erddap.s4raise.it/tabledap/unige-dicca_forecast_ww3_point_camogli.das";
    String infoUrl "https://www.raiseliguria.it/spoke-3/";
    String inspire "Oceanographic geographical features";
    String institution "UNIGE-DICCA";
    String institution_country "IT";
    String keywords "Wind Direction (e987550e-d443-48eb-93eb-0bc47a62d4b4)";
    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, Sindbad 2.0";
    Float64 Northernmost_Northing 44.31;
    String owner "UNIGE-DICCA";
    String owner_url "https://meteocean.science/";
    String project_code "RAISE, Sindbad 2.0";
    String project_id "ECS00000035,";
    String project_name "Robotics and AI for Socio-economic Empowerment, Servizi per la Navigazione e Attività Marittime";
    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). Sindbad 2.0: Servizi per la Navigazione e Attività Marittime (Services for Navigation and Maritime Activities)";
    String project_url "https://www.raiseliguria.it/, https://www.sindbad-liguria.it/";
    String projects "RAISE";
    String projects_url "https://www.raiseliguria.it/";
    String publisher "ETT S.p.A.";
    String references "https://doi.org/10.1016/j.apor.2022.103118";
    String source "Numerical modelling developed and mantained by MeteOcean Research Group of the University of Genoa";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 44.31;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "latitude, longitude";
    String summary "Five days hourly forecast of ocean waves in the proximity of the Ligurian coastline for coastal risk applications- east point";
    String testOutOfDate "now+4days";
    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 "2026-04-06T14:00:00Z";
    String time_coverage_resolution "automatically taken from data";
    String time_coverage_start "2025-10-28T00:00:00Z";
    String title "Wave Forecast for Coastal Erosion Applications - east point";
    String visibility "public";
    Float64 Westernmost_Easting 9.1253;
  }
}

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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