ERDDAP > info > cidcoBenthicSubstrateAi

Grid DAP Data	Sub- set	Table DAP Data	Make A Graph	W M S	Source Data Files	Title	Sum- mary	FGDC, ISO, Metadata	Back- ground Info	RSS	E mail	Institution	Dataset ID
	set	data	graph		files	Classification of Benthic Substrates (Data) Using Supervised and Unsupervised Machine Learning Models on the North Shore of the St. Lawrence Maritime Estuary | Données de classification de substrats benthiques générées par Intelligence Artificielle sur la rive nord de l'estuaire maritime		F   I   M	background			The Interdiscipli...	cidcoBenthicSubstrateAi

The Dataset's Variables and Attributes

Row Type	Variable Name	Attribute Name	Data Type	Value
attribute	NC_GLOBAL	cdm_data_type	String	Point
attribute	NC_GLOBAL	comment	String	Do not use unsupervised model data for navigation purposes
attribute	NC_GLOBAL	comment_fr	String	Ne pas utiliser à des fins de navigation et en particulier les données du modèle non supervisé
attribute	NC_GLOBAL	contributor_institution	String	CIDCO, CIDCO, Fisheries and Oceans Canada, CIDCO, CIDCO
attribute	NC_GLOBAL	contributor_name	String	Guillaume Labbé-Morissette, Patrick Charron-Morneau, Yanick Gendreau, Théau Leclercq, Dominic Ndeh Munang
attribute	NC_GLOBAL	contributor_role	String	owner, distributor, collaborator, metadata custodian, collaborator
attribute	NC_GLOBAL	Conventions	String	CF-1.10, COARDS ACDD-1.3
attribute	NC_GLOBAL	creator_name	String	Interdisciplinary Centre for the Development of Ocean Mapping
attribute	NC_GLOBAL	creator_name_fr	String	Centre Interdisciplinaire de Développement en Cartographie des Océans (CIDCO)
attribute	NC_GLOBAL	creator_type	String	institution
attribute	NC_GLOBAL	DOI	String	https://doi.org/10.26071/ogsl-66c132fc-b150
attribute	NC_GLOBAL	featureType	String	Point
attribute	NC_GLOBAL	geodeticDatum_description	String	EPSG: 26919 - NAD83 / UTM zone 19N
attribute	NC_GLOBAL	geospatial_lat_units	String	degrees_north
attribute	NC_GLOBAL	geospatial_lon_units	String	degrees_east
attribute	NC_GLOBAL	geospatial_vertical_max	double	72.048
attribute	NC_GLOBAL	geospatial_vertical_min	double	-1.17
attribute	NC_GLOBAL	geospatial_vertical_positive	String	down
attribute	NC_GLOBAL	geospatial_vertical_units	String	m
attribute	NC_GLOBAL	grid_mapping_epsg_code	String	EPSG:4326
attribute	NC_GLOBAL	grid_mapping_epsg_code_url	String	https://epsg.io/4326
attribute	NC_GLOBAL	grid_mapping_geographic_crs_name	String	WGS 84
attribute	NC_GLOBAL	grid_mapping_inverse_flattening	String	298.2572236
attribute	NC_GLOBAL	grid_mapping_name	String	latitude_longitude
attribute	NC_GLOBAL	grid_mapping_prime_meridian_name	String	Greenwich
attribute	NC_GLOBAL	grid_mapping_semi_major_axis	String	6378137
attribute	NC_GLOBAL	history	String	Data and metadata were standardized and then checked with the SLGO data validation tool.
attribute	NC_GLOBAL	infoUrl	String	https://www.cidco.ca/
attribute	NC_GLOBAL	institution	String	The Interdisciplinary Centre for the Development of Ocean Mapping
attribute	NC_GLOBAL	institution_fr	String	Centre Interdisciplinaire de Développement en Cartographie des Océans
attribute	NC_GLOBAL	instrument	String	Multibeam echosounder, Hydrins attitude sensor, Septentrio GNSS Receiver
attribute	NC_GLOBAL	instrument_0_description	String	MBES Reson Seabat 7125SV dual frequency (400 and 200 kHz)
attribute	NC_GLOBAL	instrument_0_identifier	String	https://vocab.nerc.ac.uk/collection/L22/current/TOOL0772/
attribute	NC_GLOBAL	instrument_0_name	String	Multibeam Echosounder
attribute	NC_GLOBAL	instrument_1_description	String	Navigation correction (roll, pitch, heading, heave)
attribute	NC_GLOBAL	instrument_1_identifier	String	https://vocab.nerc.ac.uk/collection/L22/current/TOOL0833/
attribute	NC_GLOBAL	instrument_1_name	String	Hydrins attitude sensor
attribute	NC_GLOBAL	instrument_2_description	String	GNSS (Global Navigation Satellite System) Receiver and Antenna using for positioning
attribute	NC_GLOBAL	instrument_2_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/301/
attribute	NC_GLOBAL	instrument_2_name	String	Septentrio GNSS Receiver
attribute	NC_GLOBAL	instrument_fr	String	Sondeur multifaisceaux, station inertielle Hydrins, recepteur GNSS Septentrio
attribute	NC_GLOBAL	keywords	String	artificial intelligence, benthic substrates classification, benthic substrates mapping, supervised machine learning, unsupervised machine learning
attribute	NC_GLOBAL	keywords_fr	String	cartographie des substrats benthiques, classification des substrats benthiques, apprentissage automatique supervisé, apprentissage automatique non supervisé, intelligence artificielle
attribute	NC_GLOBAL	keywords_vocabulary	String	GCMD Science Keywords
attribute	NC_GLOBAL	license	String	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
attribute	NC_GLOBAL	licenseUrl	String	https://creativecommons.org/licenses/by/4.0/
attribute	NC_GLOBAL	location	String	St Ludger
attribute	NC_GLOBAL	marine_region	String	St. Lawrence Estuary
attribute	NC_GLOBAL	mission_time_coverage_end	String	2019-10-18
attribute	NC_GLOBAL	mission_time_coverage_start	String	2018-10-15
attribute	NC_GLOBAL	platform	String	research vessel
attribute	NC_GLOBAL	platform_vocabulary	String	https://vocab.nerc.ac.uk/collection/L06/current/
attribute	NC_GLOBAL	publisher_email	String	"info@ogsl.ca"
attribute	NC_GLOBAL	publisher_name	String	St. Lawrence Global Observatory
attribute	NC_GLOBAL	publisher_name_fr	String	Observatoire global du Saint-Laurent
attribute	NC_GLOBAL	publisherID	String	https://ror.org/03wfagk22
attribute	NC_GLOBAL	related_datasets	String	https://erddap.ogsl.ca/erddap/tabledap/cidcoBenthicSubstrateAiImages.html
attribute	NC_GLOBAL	sourceUrl	String	(local files)
attribute	NC_GLOBAL	standard_name_nerc_vocabulary	String	The NERC Vocabulary Server (NVS)
attribute	NC_GLOBAL	standard_name_other_vocabulary	String	dwc: Darwin Core List of Terms (v 2023-09); dcmi: Dublin Core Metadata Initiative Metadata Terms (v 2020-01)
attribute	NC_GLOBAL	standard_name_vocabulary	String	CF Standard Name Table v79
attribute	NC_GLOBAL	subsetVariables	String	location, time, boosting_class_id, boosting_class, gmm_class_id, gmm_class
attribute	NC_GLOBAL	summary	String	The substrate classification data were generated with two machine learning models: (1) A first model trained with field truth data from Fisheries and Oceans Canada and using a gradient reinforcement method. (2) A second model trained without field truth data and based on a Gaussian mixture method. The aim of generating this data is to facilitate the classification of substrates for various fields (fishing, dredging, gas and oil) via artificial intelligence, and to make it more accessible because it is less expensive from an operational point of view.
attribute	NC_GLOBAL	summary_fr	String	Les données de classifications des substrats ont été générés avec deux modèles d'apprentissage automatique : (1) Un premier modèle entraîné avec des données de vérité terrain provenant de Pêches et Océans Canada et utilisant une méthode de renforcement du gradient. (2) Un deuxième modèle entraîné sans données de vérité terrain et s'appuyant sur une méthode de mélange gaussien. L'ambition de la génération de ces données est de faciliter la classification des substrats pour des domaines variés (la pêche, le dragage, gaz et pétrole) via l'intelligence artificielle, et la rendre plus accessible car moins couteux d'un point de vue opérationnel.
attribute	NC_GLOBAL	title	String	Classification of Benthic Substrates (Data) Using Supervised and Unsupervised Machine Learning Models on the North Shore of the St. Lawrence Maritime Estuary | Données de classification de substrats benthiques générées par Intelligence Artificielle sur la rive nord de l'estuaire maritime
variable	marineRegion		String
attribute	marineRegion	units	String	unitless
variable	location		String
attribute	location	units	String	unitless
variable	measurementID		String
attribute	measurementID	units	String	unitless
variable	time		double
attribute	time	_CoordinateAxisType	String	Time
attribute	time	axis	String	T
attribute	time	ioos_category	String	Time
attribute	time	long_name	String	Time
attribute	time	standard_name	String	time
attribute	time	time_origin	String	01-JAN-1970 00:00:00
attribute	time	units	String	seconds since 1970-01-01T00:00:00Z
variable	latitude		float
attribute	latitude	_CoordinateAxisType	String	Lat
attribute	latitude	axis	String	Y
attribute	latitude	colorBarMaximum	double	90.0
attribute	latitude	colorBarMinimum	double	-90.0
attribute	latitude	ioos_category	String	Location
attribute	latitude	long_name	String	Latitude
attribute	latitude	standard_name	String	latitude
attribute	latitude	units	String	degrees_north
variable	longitude		float
attribute	longitude	_CoordinateAxisType	String	Lon
attribute	longitude	axis	String	X
attribute	longitude	colorBarMaximum	double	180.0
attribute	longitude	colorBarMinimum	double	-180.0
attribute	longitude	ioos_category	String	Location
attribute	longitude	long_name	String	Longitude
attribute	longitude	standard_name	String	longitude
attribute	longitude	units	String	degrees_east
variable	depth		float
attribute	depth	_CoordinateAxisType	String	Height
attribute	depth	_CoordinateZisPositive	String	down
attribute	depth	actual_range	float	-1.17, 72.048
attribute	depth	axis	String	Z
attribute	depth	ioos_category	String	Location
attribute	depth	long_name	String	Sea Floor Depth
attribute	depth	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P07/current/CFV13N17/
attribute	depth	positive	String	down
attribute	depth	source_name	String	sea_floor_depth_below_sea_surface
attribute	depth	standard_name	String	depth
attribute	depth	units	String	m
variable	boosting_class_id		int
attribute	boosting_class_id	actual_range	int	0, 5
attribute	boosting_class_id	description	String	Index of substrate classification according to supervised model : 0 - Block; 1 - Cobble; 2 - Gravel; 3 - Bedrock; 4 - Sand; 5 - Sandy Mud
attribute	boosting_class_id	long_name	String	Boosting Class ID
attribute	boosting_class_id	original_name	String	boosting class
attribute	boosting_class_id	units	String	unitless
variable	boosting_class		String
attribute	boosting_class	units	String	unitless
variable	gmm_class_id		int
attribute	gmm_class_id	actual_range	int	0, 6
attribute	gmm_class_id	description	String	Index of substrate classification according to unsupervised model: 0 - Fit the most with the supervised sand class; 1 - Unknown class; 2 - Fit the most with the supervised gravel class; 3 - Unknown class; 4 - Fit the most with the supervised block class; 5 - Fit the most with the supervised cobble class; 6 - Fit the most with the supervised bedrock class
attribute	gmm_class_id	long_name	String	GMM Class ID
attribute	gmm_class_id	original_name	String	gmm class
attribute	gmm_class_id	units	String	unitless
variable	gmm_class		String
attribute	gmm_class	units	String	unitless

The information in the table above is also available in other file formats (.csv, .htmlTable, .itx, .json, .jsonlCSV1, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.