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

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 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 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)

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 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)

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

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.

A Conservation Unit (CU) is a group of wild Pacific salmon sufficiently isolated from other groups that, if extirpated, is very unlikely to recolonize naturally within an acceptable timeframe, such as a human lifetime or a specified number of salmon generations.Holtby and Ciruna (2007) provided a framework for aggregating the five species of salmon (genus Oncorhynchus) found on Canada’s Pacific coast into species-specific CUs based on three primary characteristics: ecotypology, life history and genetics. The first stage in the description of the Conservation Units is based solely on ecology. The ecotypologies used in this framework include a combined characterization of both freshwater and near-shore marine environments, and is termed “joint adaptive zone”. The second stage of the description involves the use of life history, molecular genetics, and further ecological characterizations to group and partition the first stage units into the final Conservation Units. The result is CUs that are described through the joint application of all three axes. It is important to note that CUs are distinct from other aggregates of Pacific salmon, such as designatable units (DUs) under the Species at Risk Act or management units (MUs).CU Counting Sites:Salmon spawner enumeration data in the Pacific Region is stored and managed in the New Salmon Escapement Database (NuSEDS). The term “escapement” is used to refer to the group of mature salmon that have ‘escaped’ from various sources of exploitation, and returned to freshwater to spawn and reproduce. This data is assigned to a “Counting Site”, which may be a complete watercourse with a marine terminus, a tributary to a larger watercourse, or a defined reach within a watercourse that may or may not encompass the entire population but represents an index of the abundance of that population. CU Status:CUs form the basic unit for assessment under Canada’s Policy for the Conservation of Wild Salmon Policy (WSP) (DFO 2005). The biological status of a CU is evaluated using a number of metrics (Holt et al. 2009; Holt 2009), which indicate a WSP status zone: Red (poor status), Amber (marginal status), or Green (healthy status). A final step then incorporates all metric and status-related information into a final integrated status for each CU, along with expert commentary to support the final status determination (e.g., DFO 2012; DFO 2016). This information is used as inputs to fisheries management processes to help prioritize assessment activities and management actions.Note: CU boundaries were reviewed in 2020-2021 and have been updated from the BC Freshwater Atlas 1:50,000 scale to the BC Freshwater Atlas 1:20,000 scale. The CU boundaries were last updated in March 2023. Please be aware that CUs may be reviewed and are subject to change without notice. Please refer to Conservation Unit Review Requests-Form and Summary for a list of CU review requests that are ongoing or have been finalized.

The Waterbodies dataset is comprised of area features: lakes, intermittent waterbodies, islands, and rivers wide enough to be represented as an area feature (e.g. St. Lawrence River, Mackenzie River). In a few exceptional cases, islands had to be represented by "holes" in the polygons in the Waterbodies dataset. Some area features have been subdivided and several types of virtual linear features serve to separate them. Features in this dataset are linked (by an attribute) to their corresponding flow line in the Drainage Network Skeleton. Therefore the Waterbodies dataset may be used in conjunction with the Drainage Network Skeleton for analytical applications. The Islands dataset is comprised of area and linear features: islands within inland waters and the waterbodies and single line rivers within these islands. Oceanic islands are not included as they are part of the coastline component of the Drainage Network Skeleton dataset. The Islands dataset exists to complete the cartographic representation of Canadian hydrology. The Islands dataset is not logically connected with the Drainage Network Skeleton, and can not be used for analytical applications. It should be noted that flow lines of the Drainage Network Skeleton do not take into account of the existence of islands and therefore do not necessarily flow around them. In a few exceptional cases, islands had to be represented by "holes" in the polygons in the Waterbodies dataset. Some islands themselves contain waterbodies and rivers, not significant for network analysis. However, in order to support a complete cartographic representation such waterbodies and rivers have been added to the Islands dataset. The National Scale Frameworks Hydrology data consists of area, linear and point geospatial and attribute data for Canada's hydrology at a national scale. It provides a representation of Canada's surface water features, and data completeness reflects the content of the source, the original Vector Map level 0 (VMAP0) revision 4 hydrographic layers, except where revision editing has been performed. Key value-added characteristics include river flow direction, connectivity and the tagging of geographical name keys to selected rivers, lakes and islands included in the Concise Gazetteer of Canada.The Atlas Frameworks are a set of integrated base map layers which form part of a larger National Scale Frameworks data collection. These data have been compiled at a scale of 1:1 000 000 with the primary goal being to indicate correct relative positioning with other framework layers rather than absolute positional accuracy.Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . 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)