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ERDDAP > tabledap > Make A Graph ?

Dataset Title:  Collection of plastic litter photos collected by the Custodians Earth Solution
Platform (CESP)
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Institution:  ETT   (Dataset ID: cesp)
Range: longitude = -87.22194 to 123.79124°E, latitude = -34.060146 to 56.150856°N, time = 2023-04-13T18:14:38.734Z to 2025-09-06T13:13:17.453Z
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
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 1.681409678734e+9, 1.757164397453e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Date";
    String source_name "date";
    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";
    Float64 actual_range -34.060144655403505, 56.15085462954517;
    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 -87.22193889319895, 123.79123396218122;
    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";
  }
  event {
    String long_name "Event";
  }
  event_description {
    String long_name "Event description";
  }
  description {
    String long_name "Description";
  }
  image {
    String long_name "Image";
  }
 }
  NC_GLOBAL {
    String acquisition_methodology "CESP app by ETT (partially developed under RAISE)";
    String acquisition_mode "real time";
    String cdm_data_type "Other";
    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.17572700";
    String data_format_original "csv";
    String data_version "1";
    String distribution "https://s4raise.it/dssmare/citizen_science/";
    String documentation "https://s4raise.it/dssmare/citizen_science/, https://raise-spoke3.s4raise.it/project11";
    Float64 Easternmost_Easting 123.79123396218122;
    Float64 geospatial_lat_max 56.15085462954517;
    Float64 geospatial_lat_min -34.060144655403505;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 123.79123396218122;
    Float64 geospatial_lon_min -87.22193889319895;
    String geospatial_lon_units "degrees_east";
    String history 
"2026-04-03T04:34:24Z (local files)
2026-04-03T04:34:24Z https://erddap.s4raise.it/tabledap/cesp.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 "citizen science, images, litter";
    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, CESP";
    Float64 Northernmost_Northing 56.15085462954517;
    String owner "ETT";
    String owner_url "https://ettsolutions.com/smartcity/";
    String project_code "RAISE, CESP";
    String project_id "ECS00000035,";
    String project_name "Robotics and AI for Socio-economic Empowerment, Custodians Plastic Race";
    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). CESP: Custodians Plastic Race is a BioDesign Foundation participatory project to remove plastic litter.";
    String project_url "https://www.raiseliguria.it/, https://www.thecustodians.org/";
    String publisher "ETT S.p.A.";
    String references "10.5281/zenodo.17572700";
    String sensors "CESP app by ETT (partially developed under RAISE)";
    String source "Data was collected by citizens by using the CESP app";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -34.060144655403505;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "The Custodians Earth Solution Platform (CESP) app collects photographic reports of plastic litter as part of a BioDesign Foundation initiative to support environmental cleanup efforts. Developed under the RAISE program and tested in real-world operations, CESP enables the acquisition of georeferenced data that are processed to produce maps illustrating the presence and spatial distribution of plastic litter in urban environments.";
    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 "2025-09-06T13:13:17.453Z";
    String time_coverage_start "2023-04-13T18:14:38.734Z";
    String title "Collection of plastic litter photos collected by the Custodians Earth Solution Platform (CESP)";
    String visibility "public";
    Float64 Westernmost_Easting -87.22193889319895;
  }
}

 

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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