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We have found 904 datasets for the keyword "éolien en mer". You can continue exploring the search results in the list below.
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904 Datasets, Page 1 of 91
Active Disposal at Sea Sites
Canada has the longest coastline in the world, measuring 243,790 kilometers. Many of our waterways along the coastline have to be dredged regularly to keep shipping channels and harbours open and safe for navigation; and this material is sometimes best disposed of at sea. Schedule 5 of the Canadian Environmental Protection Act, 1999 (CEPA) defines an exclusive list of materials and substances suitable for disposal at sea in Canada, which is in accordance with the London Protocol (1996). They are: dredged material, fish waste resulting from industrial fish processing operations, ships or platforms, inert and inorganic geological matter, uncontaminated organic matter of natural origin, and bulky substances. The disposal of any substance into the sea, on the seabed, in the subsoil of the seabed, or onto ice, from a ship, an aircraft, a platform or other structure is not allowed unless a permit is issued by the Environment and Climate Change Canada (ECCC) Disposal at Sea Program. Incineration at sea, as well as importing or exporting a substance for disposal at sea is also prohibited. More information on Disposal at Sea is available at: https://www.canada.ca/en/environment-climate-change/services/disposal-at-sea.html The Active Disposal at Sea Sites in Canadian Waters dataset provides spatial and related information of at-sea disposal sites approved for use in Canada in the last ten years. Any additional use of a disposal site must be conducted in accordance with the terms and conditions of a valid Disposal at Sea permit. The dataset may be of use in relation to Disposal at Sea permit applications. For some Disposal at Sea permit applications the data may be of use in assessing serious harm to fish under the Fisheries Act and assessing interference with navigation under the Navigation Protection Act.
Offshore Oil and Gas Exploration Potential
Offshore Oil and Gias exporation Potential
Percentage of population with knowledge of English and French by census subdivision, 2016
This service shows the percentage of population, excluding institutional residents, with knowledge of English and French for Canada by 2016 census subdivision. The data is from the Census Profile, Statistics Canada Catalogue no. 98-316-X2016001.Knowledge of official languages refers to whether the person can conduct a conversation in English only, French only, in both languages or in neither language. For a child who has not yet learned to speak, this includes languages that the child is learning to speak at home. For additional information refer to 'Knowledge of official languages' in the 2016 Census Dictionary.For additional information refer to 'Knowledge of official languages' in the 2016 Census Dictionary.To have a cartographic representation of the ecumene with this socio-economic indicator, it is recommended to add as the first layer, the “NRCan - 2016 population ecumene by census subdivision” web service, accessible in the data resources section below.
Preliminary Considerations Analysis of Offshore Wind Energy in Atlantic Canada
Offshore wind represents a potentially significant source of low-carbon energy for Canada, and ensuring that relevant, high-quality data and scientifically sound analyses are brought forward into decision-making processes will increase the chances of success for any future deployment of offshore wind in Canada. To support this objective, CanmetENERGY-Ottawa (CE-O), a federal laboratory within Natural Resources Canada (NRCan), completed a preliminary analysis of relevant considerations for offshore wind, with an initial focus on Atlantic Canada. To conduct the analysis, CE-O used geographic information system (GIS) software and methods and engaged with multiple federal government departments to acquire relevant data and obtain insights from subject matter experts on the appropriate use of these data in the context of the analysis. The purpose of this work is to support the identification of candidate regions within Atlantic Canada that could become designated offshore wind energy areas in the future.The study area for the analysis included the Gulf of St. Lawrence, the western and southern coasts of the island of Newfoundland, and the coastal waters south of Nova Scotia. Twelve input data layers representing various geophysical, ecological, and ocean use considerations were incorporated as part of a multi-criteria analysis (MCA) approach to evaluate the effects of multiple inputs within a consistent framework. Six scenarios were developed which allow for visualization of a range of outcomes according to the influence weighting applied to the different input layers and the suitability scoring applied within each layer.This preliminary assessment resulted in the identification of several areas which could be candidates for future designated offshore wind areas, including the areas of the Gulf of St. Lawrence north of Prince Edward Island and west of the island of Newfoundland, and areas surrounding Sable Island. This study is subject to several limitations, namely missing and incomplete data, lack of emphasis on temporal and cumulative effects, and the inherent subjectivity of the scoring scheme applied. Further work is necessary to address data gaps and take ecosystem wide impacts into account before deployment of offshore wind projects in Canada’s coastal waters. Despite these limitations, this study and the data compiled in its preparation can aid in identifying promising locations for further review.A description of the methodology used to undertake this study is contained in the accompanying report, available at the following link: https://doi.org/10.4095/331855. This report provides in depth detail into how these data layers were compiled and details any analysis that was done on the data to produce the final data layers in this package.
Projected extreme sea levels under an intermediate emission scenario SSP245 for harbours in British Columbia
This dataset provides projected 30-year, 50-year, and 100-year return levels for harbours in British Columbia by 2050 and 2100 under an intermediate emission scenario SSP245, relative to the mean sea level over 1993-2020. The return levels are a combination of estimated present extreme sea levels and projected mean sea level rise. The present extreme sea levels are derived from hourly coastal sea levels for the period from 1993 to 2020, simulated using a high-resolution Northeast Pacific Ocean Model (NEPOM). The projected mean sea level rise is derived from the regional mean sea level rise data of the IPCC 6th Assessment Report under SSP245, adjusted for the local vertical land motion.
Projected extreme sea levels under a low emission scenario SSP126 for harbours in British Columbia
This dataset provides projected 30-year, 50-year, and 100-year return levels for harbours in British Columbia by 2050 and 2100 under a low emission scenario SSP126, relative to the mean sea level over 1993-2020. The return levels are a combination of estimated present extreme sea levels and projected mean sea level rise. The present extreme sea levels are derived from hourly coastal sea levels for the period from 1993 to 2020, simulated using a high-resolution Northeast Pacific Ocean Model (NEPOM). The projected mean sea level rise is derived from the regional mean sea level rise data of the IPCC 6th Assessment Report under SSP126, adjusted for the local vertical land motion
Projected extreme sea levels under a high emission scenario SSP585 for harbours in British Columbia
This dataset provides projected 30-year, 50-year, and 100-year return levels for harbours in British Columbia by 2050 and 2100 under a high emission scenario SSP585, relative to the mean sea level over 1993-2020. The return levels are a combination of estimated present extreme sea levels and projected mean sea level rise. The present extreme sea levels are derived from hourly coastal sea levels for the period from 1993 to 2020, simulated using a high-resolution Northeast Pacific Ocean Model (NEPOM). The projected mean sea level rise is derived from the regional mean sea level rise data of the IPCC 6th Assessment Report under SSP585, adjusted for the local vertical land motion.
Gulf of St. Lawrence observer at sea program
The Gulf of St. Lawrence At-Sea Observer Program is part of the Fisheries Monitoring Policy of the Department of Fisheries and Oceans Canada (DFO) (https://www.dfo-mpo.gc.ca/reports-rapports/regs/sff-cpd/fishery-monitoring-surveillance-des-peches-eng.htm#toc13). Its purpose is to ensure accurate verification of fishing activities at sea by an independent third party, and to provide DFO with scientific data on catches. The fishing industry and DFO depend on the proper communication of this information for fisheries management, monitoring and scientific research activities.Biological data on fish and marine invertebrates collected by the At-Sea Observer Program is one of the sources of information used by DFO to assess the status of these resources. Biological data protocols are the subject of an annual consultation with the biologists responsible for assessing each of the exploited stocks.This dataset contains the sum of weight data for species caught, by NAFO (Northwest Atlantic Fisheries Organization) sub-division and by year from 1999-2023, from commercial species directed fisheries for stock assessments in the Quebec region. It also includes length frequencies for species caught when required by protocol.To preserve the confidentiality of the fishing industry, data are only presented when fishing activity has been observed on a minimum of 5 vessels in a given NAFO area. The data presented are raw and should be interpreted with caution. They may contain errors such as spatial coordinates, landing weights or inaccurate or unreliable species identifications. A brief review of the taxonomy was carried out by DFO taxonomist cited as collaborator. His comments can be found in the “REMARK_IDENT” column preceded by the code “Claude_Nozere”.
Atlas of Seabirds at Sea in Eastern Canada 2006 - 2020
The atlas provides printable maps, Web Services and downloadable data files representing seabirds at-sea densities in eastern Canada.The information provided on the open data web site can be used to identify areas where seabirds at sea are found in eastern Canada. However, low survey effort or high variation in some areas introduces uncertainty in the density estimates provided. The data and maps found on the open data web site should therefore be interpreted with an understanding of this uncertainty.Data were collected using ships of opportunity surveys and therefore spatial and seasonal coverage varies considerably. Densities are computed using distance sampling to adjust for variation in detection rates among observers and survey conditions. Depending on conditions, seabirds can be difficult to identify to species level. Therefore, densities at higher taxonomic levels are provided. more details in the document: Atlas_SeabirdsAtSea-OiseauxMarinsEnMer.pdf.By clicking on "View on Map" you will visualize a example of the density measured for all species combined from April to July - 2006-2020. ESRI REST or WMS map services can be added to your web maps or opened directly in your desktop mapping applications. These are alternatives to downloading and provide densities for all taxonomical groups and species as well as survey effort.
Coastal BC Marine and Freshwater Kayaking Routes
The location of coastal British Columbia marine and freshwater kayaking routes. The Coastal BC datasets are circa 2004 and legacy in nature. Caution should be exercised when using this data, as it may not be accurate or complete. There are currently no plans to update.
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