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We have found 129 datasets for the keyword "identification". You can continue exploring the search results in the list below.
Datasets: 104,048
Contributors: 42
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129 Datasets, Page 1 of 13
St. Lawrence Integrated Management Areas (ZGISL)
Location and identification of the 6 integrated water management zones of the St. Lawrence in southern Quebec.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Integrated water management areas by watershed
Location and identification of the 40 integrated water management zones by watershed in southern Quebec.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
NCC Picnic areas
Identification of the NCC's public picnic areas. Picnic tables present, some larger locations have shelters.https://ncc-ccn.gc.ca/places/picnickinghttps://ncc-ccn.gc.ca/places/picnicking-greenbelt
Ecodistricts
This dataset is used to: * assess biodiversity levels * define seed zones * map ecosystem types * set targets for the identification of natural heritage systems
Beaufort Sea Marine Fishes Project (BSMFP) 2012 - Fish identification and measurements
Basic biological data for all fish caught during the 2012 BSMFP expedition. Includes identification, weight, length (total, fork, and, standard), liver weight, gonad weight, sex and maturity level.
Blue Whale - High density feeding areas
11 tagged Blue whales (Balaenoptera musculus) were tracked during the daytime movements as well as the feeding behaviour in the St. Lawrence River estuary. Kernel density was applied to derminate the high density feeding areas of all individuals combined (30, 40, 50, 60, 75, 95 %).Doniol-Valcroze T, Lesage V, Giard J, Michaud R, 2012. Challenges in marine mammal habitat modelling: evidence of multiple foraging habitats from the identification of feeding events in blue whales. Endang Species Res, Vol. 17 : 255–268, doi : 10.3354/esr00427(English version only)
Vessel Density Mapping of 2024 AIS Data in the Northwest Atlantic
The Automatic Identification System (AIS) is a global, satellite-based and terrestrial-based ship tracking system that uses shipborne equipment to remotely track vessel identification and positional information and is typically required on vessels of 300 gross tonnage or more on an international voyage, of 500 gross tonnage or more not on an international voyage, and passenger ships of all sizes. AIS tracking technologies are primarily used in support of real-time maritime domain awareness and for maritime security and safety of life at sea. This report describes a geographic information system (GIS) analysis of 2019 AIS data to produce yearly and monthly vessel density maps of all vessel classes combined and yearly density maps of each vessel class. The year 2019 was selected to portray shipping densities in a pre-COVID 19 pandemic depiction of the maritime transport sector in the Northwest Atlantic. Vessel density map applications include use in spatial analysis and decision support for marine spatial planning. In 2023 the process was applied to the years 2013 through to 2022 and were made available using the same processes that were applied to the original 2019 datasets.
Vessel Density Mapping of 2023 AIS Data in the Northwest Atlantic
The Automatic Identification System (AIS) is a global, satellite-based and terrestrial-based ship tracking system that uses shipborne equipment to remotely track vessel identification and positional information and is typically required on vessels of 300 gross tonnage or more on an international voyage, of 500 gross tonnage or more not on an international voyage, and passenger ships of all sizes. AIS tracking technologies are primarily used in support of real-time maritime domain awareness and for maritime security and safety of life at sea. This report describes a geographic information system (GIS) analysis of 2019 AIS data to produce yearly and monthly vessel density maps of all vessel classes combined and yearly density maps of each vessel class. The year 2019 was selected to portray shipping densities in a pre-COVID 19 pandemic depiction of the maritime transport sector in the Northwest Atlantic. Vessel density map applications include use in spatial analysis and decision support for marine spatial planning. In 2023 the process was applied to the years 2013 through to 2022 and were made available using the same processes that were applied to the original 2019 datasets.
Lumpfish potential spawning site in the Gulf of St. Lawrence
Identification of a potential spawning site for lumpfish during an ichtyofauna inventory conducted in the eelgrass in Sept-Îles bay by Calderón (1996).Purpose:The 1996 document by par Isabel Calderón has been achieved by the "Corporation de protection de l'environnement de Sept-Îles" with the support of Department of Fisheries and Oceans (DFO) as part of the "Biodiversity" program, St. Lawrence Vision 2000 (Canada).Source:Calderón, I. 1996. Caractérisation des habitats du poisson de la baie de Sept-Îles - Phase II. Corporation de protection de l'environnement de Sept-Îles. 37 pages.
Vessel Density Mapping of 2019 AIS Data in the Northwest Atlantic
The Automatic Identification System (AIS) is a global, satellite-based and terrestrial-based ship tracking system that uses shipborne equipment to remotely track vessel identification and positional information and is typically required on vessels of 300 gross tonnage or more on an international voyage, of 500 gross tonnage or more not on an international voyage, and passenger ships of all sizes. AIS tracking technologies are primarily used in support of real-time maritime domain awareness and for maritime security and safety of life at sea. This report describes a geographic information system (GIS) analysis of 2019 AIS data to produce yearly and monthly vessel density maps of all vessel classes combined and yearly density maps of each vessel class. The year 2019 was selected to portray shipping densities in a pre-COVID 19 pandemic depiction of the maritime transport sector in the Northwest Atlantic. Vessel density map applications include use in spatial analysis and decision support for marine spatial planning.
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