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We have found 31 datasets for the keyword " séparer". You can continue exploring the search results in the list below.
Datasets: 106,578
Contributors: 42
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31 Datasets, Page 1 of 4
Bay of Fundy Benthoscape
The data layer (.shp) presented is the result of an unsupervised classification method for classifying seafloor habitat in the Bay of Fundy (Northwest Atlantic, Canada). This method involves separating environmental variables derived from multibeam bathymetry (slope, bathymetric position index), backscatter, and oceanographic information (wave-shear current velocity) into spatial units (i.e. image objects) and classifying the acoustically and oceanographically separated units into 7 habitat classes (Bedrock and Boulders, Mixed Sediments, Gravelly Sand, Sand, Silty Gravel with Anemones, Silt, and Tidal Scoured Mixed Sediments) using in-situ data (imagery). Benthoscape classes (synonymous to landscape classifications in terrestrial ecology) describe the geomorphology and biology of the seafloor and are derived from elements of the seafloor that were acoustically and oceanographically distinguishable. Reference:Wilson, B.R., Brown, C.J., Sameoto, J.A., Lacharite, M., Redden, A. (2021). Mapping seafloor habitats in the Bay of Fundy to assess macrofaunal assemblages associated with Modiolus modiolus beds. Estuarine, Coastal and Shelf Science, 252. https://doi.org/10.1016/j.ecss.2021.107294Cite this data as: Wilson, B.R., Brown, C.J., Sameoto, J.A., Lacharite, M., Redden, A. Bay of Fundy Benthoscape. Published May 2023. Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/dbabd17a-a2c7-4b3f-9bd8-a77a9c7f9c1c
Public Land Use Zone
The Public Land Use Zone (PLUZ) dataset is comprised of all the polygons that represent Public Land Use Zones in Alberta. A Public Land Use Zone is an area of land to which legislative controls are applied to achieve particular land management objectives identified in a guiding land and resource plan. They can be used to protect areas containing sensitive resources such as wildlife and their habitats, vegetation, soils and watersheds as well as to separate or manage conflicting recreational activities. These areas have been designated as Public Land Use Zones, under the authority of Section 178 and 208 of the Public Lands Administration Regulation (PLAR) under the Public Lands Act. Public Land Use Zones were formerly known as Forest Land Use Zones (FLUZ) which were designated under the former Forest Recreation Regulation under the Forests Act. The Public Lands Administration Regulation came into effect on September 12, 2011. At this time, Forest Land Use Zones under the Forest Recreation Regulation were incorporated into the Public Lands Act and Public Lands Administration Regulation. As a result, Forest Land Use Zone became Public Land Use Zone.
Border Crossings: Liquids Pipeline - North American Cooperation on Energy Information
Border crossings of liquids pipelines. Mapping Resources implemented as part of the North American Cooperation on Energy Information (NACEI) between the Department of Energy of the United States of America, the Department of Natural Resources of Canada, and the Ministry of Energy of the United Mexican States.The participating Agencies and Institutions shall not be held liable for improper or incorrect use of the data described and/or contained herein. These data and related graphics, if available, are not legal documents and are not intended to be used as such. The information contained in these data is dynamic and may change over time and may differ from other official information. The Agencies and Institutions participants give no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data.Parent Collection:[North American Cooperation on Energy Information, Mapping Data](https://open.canada.ca/data/en/dataset/aae6619f-f9f3-435d-bc32-42decd58b674)
Border Crossings: Natural Gas Pipeline - North American Cooperation on Energy Information
Border crossings of natural gas pipelines. Mapping Resources implemented as part of the North American Cooperation on Energy Information (NACEI) between the Department of Energy of the United States of America, the Department of Natural Resources of Canada, and the Ministry of Energy of the United Mexican States.The participating Agencies and Institutions shall not be held liable for improper or incorrect use of the data described and/or contained herein. These data and related graphics, if available, are not legal documents and are not intended to be used as such. The information contained in these data is dynamic and may change over time and may differ from other official information. The Agencies and Institutions participants give no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data.Parent Collection:[North American Cooperation on Energy Information, Mapping Data](https://open.canada.ca/data/en/dataset/aae6619f-f9f3-435d-bc32-42decd58b674)
French Immersion Schools in Manitoba
Point feature layer showing locations of public schools in Manitoba that offer the French Immersion Program.Point feature layer showing locations of public schools in Manitoba that offer the French Immersion Program. This is an inclusive program intended for all students with various abilities and needs whose first language is not French. The goal of the Program is to develop proud, confident, engaged, plurilingual global citizens. For more information visit Manitoba Advanced Education, Skills and Immigration. Fields included (Alias (Field Name): Field description) SCHOOL_FR_NAME (SCHOOL_FR_NAME): Name of the school in French SCHOOL_EN_PHONE_NBR (SCHOOL_EN_PHONE_NBR): Phone number for the school SCHOOL_FR_PHONE_NBR (SCHOOL_FR_PHONE_NBR): Phone number for the school, in French format DIV_NAME (DIV_NAME): Name of the school division DIV_FR_NAME (DIV_FR_NAME): Name of the school division in French DIV_EN_PHONE_NBR (DIV_EN_PHONE_NBR): Phone number for the division DIV_FR_PHONE_NBR (DIV_FR_PHONE_NBR): Phone number for the division, in French format SCHOOL_ADDR_LINE1 (SCHOOL_ADDR_LINE1): Street address of school SCHOOL_ADDR_LINE2 (SCHOOL_ADDR_LINE2): Second line, if required, of street address SCHOOL_FR_ADDR_LINE1 (SCHOOL_FR_ADDR_LINE1): Street address of school in French SCHOOL_FR_ADDR_LINE2 (SCHOOL_FR_ADDR_LINE2): Second line, if required, of street address in French SCHOOL_CITY_NAME (SCHOOL_CITY_NAME): Name of the city or town that the school is located in SCHOOL_POSTAL_CODE (SCHOOL_POSTAL_CODE): Postal code of the school TRACKS (TRACKS): This field indicates the delivery model used by the school; either single track or dual track MIDDLE_IM (MIDDLE_IM): This field indicates whether the school has a grade 4 entry point LATE_IM (LATE_IM): This field indicates whether the school has a grade 6 or 7 entry point SCHOOL_LOW_GRADE_ENG (SCHOOL_LOW_GRADE_ENG): The lowest grade offering the Program SCHOOL_LOW_GRADE_FR (SCHOOL_LOW_GRADE_FR): The lowest grade, in French, offering the Program SCHOOL_HIGH_GRADE (SCHOOL_HIGH_GRADE): The highest grade offering the Program GRADE_LIST_EN (GRADE_LIST_EN): Comma separated list of grades available in the Program GRADE_LIST_FR (GRADE_LIST_FR): Comma separated list of grades available in the Program, in French Latitude (Latitude): Latitudinal coordinate of the school Longitude (Longitude): Longitudinal coordinate of the school
Border Crossings: Electric Transmission Line - North American Cooperation on Energy Information
Border crossings of electric transmission lines. Mapping Resources implemented as part of the North American Cooperation on Energy Information (NACEI) between the Department of Energy of the United States of America, the Department of Natural Resources of Canada, and the Ministry of Energy of the United Mexican States.The participating Agencies and Institutions shall not be held liable for improper or incorrect use of the data described and/or contained herein. These data and related graphics, if available, are not legal documents and are not intended to be used as such. The information contained in these data is dynamic and may change over time and may differ from other official information. The Agencies and Institutions participants give no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data.Parent Collection:[North American Cooperation on Energy Information, Mapping Data](https://open.canada.ca/data/en/dataset/aae6619f-f9f3-435d-bc32-42decd58b674)
Footprints Yukon Composite 150 cm
::: (style="text-align:Left;")Footprints for all imagery in the Yukon Composite 150 cm Imagery Service. The Yukon Composite is a composite imagery basemap created from the most recent medium resolution SPOT-6/7 satellite images from the Government of Yukon satellite imagery repository.Distributed from GeoYukon by the Government of Yukon. Discover more digital map data and interactive maps from Yukon's digital map data collection. For more information: :::
MB Cattle Prices Current year
This data set contains Manitoba market cattle prices and volumes sold at local auction marts.Description of Cattle Prices -source
Benthoscape Map of German Bank
The data layer (.shp) presented is the result of an unsupervised classification method for classifying seafloor habitat on German Bank (off South West Nova Scotia, Canada). This method involves separating environmental variables derived from multibeam bathymetry (Slope, Curvature) and backscatter (principal components: Q1, Q2, and Q3) into spatial units (i.e. pixels) and classifying the acoustically separated units into 5 habitat classes (Reef, Glacial Till, Silt, Silt with Bedforms, and Sand with Bedforms) using in situ data (imagery). Benthoscape classes (synonymous to landscape classifications in terrestrial ecology) describe the geomorphology and biology of the seafloor and are derived from elements of the seafloor that were acoustically distinguishable.Unsupervised classifications (acoustic classifications) optimized at 15 classes using Idrisi CLUSTER method (pixel based)Number representing the benthoscape classes (CLASS) derived from in situ imagery and video (See Brown et al., 2012, Figure 3, Table 1).Benthoscape classes (See Brown et al., 2012, Figure 3).Reference:Brown, C. J., Sameoto, J. A., & Smith, S. J. (2012). Multiple methods, maps, and management applications: Purpose made seafloor maps in support of ocean management. Journal of Sea Research, 72, 1–13. https://doi.org/10.1016/j.seares.2012.04.009Cite this data as: Brown, C. J., Sameoto, J. A., & Smith, S. J. Data of: Benthoscape Map of German Bank. Published: February 2021. Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/b7f81d4a-2cb6-4393-b35b-e536ec63e834
High Resolution Digital Elevation Model (HRDEM) - CanElevation Series
The High Resolution Digital Elevation Model (HRDEM) product is derived from airborne LiDAR data (mainly in the south) and satellite images in the north. The complete coverage of the Canadian territory is gradually being established. It includes a Digital Terrain Model (DTM), a Digital Surface Model (DSM) and other derived data. For DTM datasets, derived data available are slope, aspect, shaded relief, color relief and color shaded relief maps and for DSM datasets, derived data available are shaded relief, color relief and color shaded relief maps.The productive forest line is used to separate the northern and the southern parts of the country. This line is approximate and may change based on requirements. In the southern part of the country (south of the productive forest line), DTM and DSM datasets are generated from airborne LiDAR data. They are offered at a 1 m or 2 m resolution and projected to the UTM NAD83 (CSRS) coordinate system and the corresponding zones. The datasets at a 1 m resolution cover an area of 10 km x 10 km while datasets at a 2 m resolution cover an area of 20 km by 20 km. In the northern part of the country (north of the productive forest line), due to the low density of vegetation and infrastructure, only DSM datasets are generally generated. Most of these datasets have optical digital images as their source data. They are generated at a 2 m resolution using the Polar Stereographic North coordinate system referenced to WGS84 horizontal datum or UTM NAD83 (CSRS) coordinate system. Each dataset covers an area of 50 km by 50 km. For some locations in the north, DSM and DTM datasets can also be generated from airborne LiDAR data. In this case, these products will be generated with the same specifications as those generated from airborne LiDAR in the southern part of the country.The HRDEM product is referenced to the Canadian Geodetic Vertical Datum of 2013 (CGVD2013), which is now the reference standard for heights across Canada.Source data for HRDEM datasets is acquired through multiple projects with different partners. Since data is being acquired by project, there is no integration or edgematching done between projects. The tiles are aligned within each project.The product High Resolution Digital Elevation Model (HRDEM) is part of the CanElevation Series created in support to the National Elevation Data Strategy implemented by NRCan. Collaboration is a key factor to the success of the National Elevation Data Strategy. Refer to the “Supporting Document” section to access the list of the different partners including links to their respective data.
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