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We have found 342 datasets for the keyword " emplacements d'entrée". You can continue exploring the search results in the list below.
Datasets: 103,401
Contributors: 42
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342 Datasets, Page 1 of 35
Manitoba Waterbody Entry Points
This point layer dataset contains information on Manitoba waterbody access points including boat launches, overland routes and tunnels.Waterbody Entry Points contains point data primarily of boat launches in Manitoba, but it also includes overland routes and tunnel access to some waterbodies. Each data point has a description of the type of access as well as photos that detail signage and condition of the entry point. The waterbody entry points layer, along with related information, can be found at the Manitoba Lake Information For Anglers app. The project was initiated by Manitoba Wildlife and Fisheries Branch with funding from the Fish and Wildlife Enhancement Fund. Data is provided by Manitoba Wildlife and Fisheries Branch, Swan Valley Sport Fishing and Manitoba Watershed Districts. For additional information visit Manitoba Fisheries. The dataset includes the following fields (Alias (Name): Description) Waterbody ID (WATERBODY_ID): Unique identifier for an individual waterbody. Waterbody Name (WATERBODY_NAME): Name of the waterbody that the entry point belongs to. Entry Type (ENTRY_TYPE): Indicates the type of entry point (e.g. boat launch, tunnel). Photo 1 (PHOTO_1): Link to a photo of the launch/entry point. Photo 2 (PHOTO_2): Link to a photo of the launch/entry point. Photo 3 (PHOTO_3): Link to a photo of the launch/entry point. Long (DD) (LONG_DD): Longitudinal coordinates of the feature in decimal degrees. Lat (DD) (LAT_DD): Latitudinal coordinates of the feature in decimal degrees.
Head Tax Permit Zone
The Head Tax Permit Zone is comprised of three polygons for determining which zone a head tax permit falls in. These zones are used to apply the rental rate that forest grazing reserve permits, head tax permits (HTP), and provincial grazing reserves (GRR) are charged (Ministerial Order 01/2020).
Active Commercial Shipping Anchorages in Pacific Canada
This is a point layer of the names and locations of the actively used commercial shipping anchorages in British Columbia. These point locations were manually compiled from available port guides and documents. The objective of this dataset is to provide a consolidated file containing all active commercial shipping anchorage locations as there has been a lack of consistency between different sources due to variations in names and locations in different datasets and historical changes to anchorage locations.
Surversed
Locations of overflow structures in the City of Repentigny.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Canadian Public Transit Systems
Geospatial data for public transit agencies in Canada, with information on stop locations, route locations, route types, level of service, wheel chair access, bike access, and more.
Agricultural Resource Management
Provides the locations of known farms within the Province of New Brunswick.
AERMOD Input File Download by Location
This dataset is a locational record of the meteorological input files publically available on Saskatchewan GeoHub that can be used with the Environmental Protection Agency approved Regulatory Model (AERMOD). Each file represents the meteorology over an area of the province while minimizing the influences of local terrain on air flow. Additional attribute information for each location includes coordinates and a link to download the AERMOD data as a zip file.The Air Quality Section of the Ministry of Environment uses air quality modelling to simulate how air pollutants disperse in the ambient atmosphere in order to help manage the air quality in the province. The models are used to estimate the impact of air pollutants emitted from emission sources, and are typically employed to determine whether existing or new proposed industrial facilities are or will be in compliance with the ambient air quality standards outlined in Table 20 of the province's Environmental Code, June 1, 2015 under The Environmental Management and Protection Act, 2010. The information needed to run dispersion models consists primarily of emissions and meteorological data. Five years (2012-2016) of preprocessed meteorological datasets in an AERMOD ready format is publicly available. This file is contained in the downloadable zipped file. The zipped file contains five files: the SFC and PFL files are the AERMOD ready files required to run AERMOD (i.e., data, sensible heat flux, frictional velocity, potential temperature gradient, vertical velocity, mixing height, monin-obukhov length, surface roughness, Bowen ratio, albedo, scalar wind speed, wind direction, ambient temperature, precipitation, precipitation rate, relative humidity, surface pressure, and total cloud amounts); the DAT file contains the land use information (i.e., Surface roughness, Bowen ratio and albedo) chosen for each month in the SFC file; the KMZ file contains the wind rose for that location which can be used on Google Earth; and the PNG file contains various graphs of monthly or diurnal meteorological distribution (i.e., temperature, wind speed, daytime mixing heights and sensible heat flux, and stability) which can be used to help determine if that location is representative of the area proposed for modelling. Please note: Since this data is newly developed, it is possible there may be issues with the data as it gets used in more applications. Ongoing changes, edits and updates may be made by the Air Quality Section of the Ministry of Environment. Is is recommended for any future modelling to download the latest version of the input files and not archive any input files on your own server for future use, unless this notification no longer exists. If there are any issues discovered with data in the zipped file, please contact Dennis Fudge at dennis.fudge@gov.sk.ca or at 306-519-7105. Your support will be greatly appreciated. There may be times you feel that the input files are not representative of the proposed modelling domain due to the surrounding features (i.e., forest/agricultural or rural/urban) being different than those used to generate the input files. If that is the case, the modeler can generate the input modelling files themselves. The relevant files to generate these input files are available upon request. Please contact Dennis Fudge at dennis.fudge@gov.sk.ca or at 306-519-7105.
CDC Species of Conservation Concern - Restricted
Each hexagon in this layer serves as a flag to indicate there is one or more mapped locations of a species that is subject to persecution or harm within the hexagon boundaries. Access to the precise locations are restricted, unless there is a demonstrable business need for the information. Users are asked to contact the Yukon Conservation Data Centre ( [yukoncdc@yukon.ca](mailto:yukoncdc@yukon.ca) ) to request access to precise locations and details on the species involved.Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)
Nautical chart dealer locations
Map of Canada showing locations of facilities selling nautical charts in both paper and digital formats.
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.
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