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Dataset Title:	Classification of Benthic Substrates (Images) Using Supervised and Unsupervised Machine Learning Models on the North Shore of the St.Lawrence Maritime Estuary \| Images de la classification de substrats benthiques générées par Intelligence Artificielle sur la rive nord de l'estuaire maritime
Institution:	The Interdisciplinary Centre for the Development of Ocean Mapping (Dataset ID: cidcoBenthicSubstrateAiImages)
Range:	longitude = -68.38192 to -67.69235°E, latitude = 49.03157 to 49.29781°N
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 {
  marineRegion {
    String description "https://www.marineregions.org/mrgid.php";
    String long_name "Marine Region";
    String units "unitless";
  }
  location {
    String dcmi_identifier "http://purl.org/dc/terms/Location";
    String dcmi_standard_name "Location";
    String description "A spatial region or named place";
    String ioos_category "Location";
    String long_name "Location";
    String units "unitless";
  }
  identifier {
    String ioos_category "Identifier";
    String long_name "Identifier";
    String units "unitless";
  }
  samplingProtocol {
    String description "The methods or protocols used to produce the sample";
    String dwc_standard_name "samplingProtocol";
    String long_name "Sampling Protocol";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/SAMPPROT/";
    String nerc_standard_name "Sampling_protocol";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 49.03157, 49.29781;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -68.38192, -67.69235;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "degrees_east";
  }
  type {
    String dcmi_identifier "http://purl.org/dc/terms/type";
    String description "The nature or genre of the resource";
    String long_name "Type";
    String units "unitless";
  }
  format {
    String dcmi_identifier "http://purl.org/dc/terms/format";
    String description "The file format, physical medium, or dimensions of the resource.";
    String long_name "Format";
    String units "unitless";
  }
  extent {
    String dcmi_identifier "http://purl.org/dc/terms/extent";
    String dcmi_standard_name "Extent";
    String description "File size";
    String long_name "Extent";
    String units "unitless";
  }
  accessURI {
    String dwc_identifier "http://rs.tdwg.org/ac/terms/accessURI";
    String fileAccessBaseUrl "https://waf-cc.prod.ogsl.ca/data/erddap/cidco/cidcoBenthicSubstrateAiImages/";
    String long_name "AccessURI";
    String units "unitless";
  }
  footprintWKT {
    String dwc_identifier "http://rs.tdwg.org/dwc/terms/footprintWKT";
    String dwc_standard_name "footprintWKT";
    String ioos_category "Location";
    String long_name "footprint Well-Known Text";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String comment "Do not use unsupervised model data for navigation purposes";
    String contributor_institution "CIDCO, CIDCO, Fisheries and Oceans Canada, CIDCO, CIDCO";
    String contributor_name "Guillaume Labbé-Morissette, Patrick Charron-Morneau, Yanick Gendreau, Théau Leclercq, Dominic Ndeh Munang";
    String contributor_role "owner, distributor, collaborator, metadata custodian, collaborator";
    String Conventions "COARDS, CF-1.10, ACDD-1.3, 0";
    String creator_name "Interdisciplinary Centre for the Development of Ocean Mapping";
    String creator_name_fr "Centre Interdisciplinaire de Développement en Cartographie des Océans (CIDCO)";
    String creator_type "institution";
    String description "Benthic substrates images using Artificial Intelligence";
    String DOI "https://doi.org/10.26071/ogsl-66c132fc-b150";
    Float64 Easternmost_Easting -67.69235;
    String geodeticDatum "https://epsg.io/26919";
    Float64 geospatial_lat_max 49.29781;
    Float64 geospatial_lat_min 49.03157;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -67.69235;
    Float64 geospatial_lon_min -68.38192;
    String geospatial_lon_units "degrees_east";
    String history 
"Data and metadata were standardized and then checked with the SLGO data validation tool.
2024-09-12T17:26:21Z (local files)
2024-09-12T17:26:21Z https://erddap.ogsl.ca/tabledap/cidcoBenthicSubstrateAiImages.das";
    String infoUrl "https://www.cidco.ca/";
    String institution "The Interdisciplinary Centre for the Development of Ocean Mapping";
    String institution_fr "Centre Interdisciplinaire de Développement en Cartographie des Océans (CIDCO)";
    String instrument "Multibeam echosounder, Hydrins attitude sensor, Septentrio GNSS Receiver";
    String instrument_0_description "MBES Reson Seabat 7125SV dual frequency (400 and 200 kHz)";
    String instrument_0_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0772/";
    String instrument_0_name "Multibeam Echosounder";
    String instrument_1_description "Navigation correction (roll, pitch, heading, heave)";
    String instrument_1_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0833/";
    String instrument_1_name "Hydrins attitude sensor";
    String instrument_2_description "GNSS (Global Navigation Satellite System) Receiver and Antenna using for positioning";
    String instrument_2_identifier "https://vocab.nerc.ac.uk/collection/L05/current/301/";
    String instrument_2_name "Septentrio GNSS Receiver";
    String instrument_fr "Sondeur multifaisceaux, station inertielle Hydrins, recepteur GNSS Septentrio";
    String keywords "artificial intelligence, bathymetry, benthic substrates classification, benthic substrates mapping, supervised machine learning, unsupervised machine learning";
    String keywords_fr "cartographie des substrats benthiques, classification des substrats benthiques, apprentissage automatique supervisé, apprentissage automatique non supervisé, intelligence artificielle, bathymétrie";
    String license "Creative Commons Attribution 4.0 International license CC-BY 4.0. Allows for open sharing and adaptation of the data provided that the original creator is attributed";
    String licenseUrl "https://creativecommons.org/licenses/by/4.0/";
    String mission_time_coverage_end "2019-10-18";
    String mission_time_coverage_start "2018-10-15";
    Float64 Northernmost_Northing 49.29781;
    String publisher_email "\"info@ogsl.ca\"";
    String publisher_name "St. Lawrence Global Observatory";
    String publisher_name_fr "Observatoire global du Saint-Laurent";
    String publisherID "https://ror.org/03wfagk22";
    String related_datasets "https://erddap.ogsl.ca/erddap/tabledap/cidcoBenthicSubstrateAi.html";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 49.03157;
    String standard_name_nerc_vocabulary "The NERC Vocabulary Server (NVS)";
    String standard_name_vocabulary "CF Standard Name Table v79";
    String subsetVariables "marineRegion, type, format";
    String summary "Classification of benthic substrates (Images) using supervised and unsupervised machine learning models on the North Shore of the St.Lawrence maritime estuary";
    String summary_fr "Images de la classification de substrats benthiques générées par Intelligence Artificielle sur la rive nord de l'estuaire maritime";
    String title "Classification of Benthic Substrates (Images) Using Supervised and Unsupervised Machine Learning Models on the North Shore of the St.Lawrence Maritime Estuary | Images de la classification de substrats benthiques générées par Intelligence Artificielle sur la rive nord de l'estuaire maritime";
    Float64 Westernmost_Easting -68.38192;
  }
}

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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