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    Get mapping data related to the Northwest Greater Toronto Area Transmission Corridor Identification Study. In June 2019, the Ministry of Energy, Northern Development and Mines along with Ontario’s electricity system planner, the Independent Electricity System Operator, launched the Northwest GTA Transmission Corridor Identification Study to identify an appropriate corridor of land for use by future power lines if and when the need arises.

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    Bathymetry line data was collected to assess fish habitat in Ontario. Spot depths (bathymetry points) were used to measure the depth contours, which function like isobars to show lines of constant depth. Their density and positional accuracies vary depending on the survey style and parameters. This data should never be used for navigation.

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    This dataset was created to: * better understand the state of the shoreline * track changes over time * identify priority areas for restoration The dataset provides important information for fish and wildlife habitat assessments. This includes identification of significant fish and wildlife areas and habitats like wetlands, woodlands, spawning habitat and biological productive areas. The dataset contains 2 spatial files: * a vector linear layer representing shoreline reaches * another vector polygon layer capturing shoreline and near-shore structures

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    Get data on forest fires, compiled annually for the National Forestry Database [The National Forestry Database](http://nfdp.ccfm.org/en/index.php) includes national forest data and forest management statistics to seve as a credible, accurate and reliable source of information on forest management and its impact on the forest resource. Forest fire data is grouped into eight categories, which are further broken down by geographic location. These include: * number of fires by cause class and response category * area burned by cause class and response category * number of fires by month and response category * area burned by month and response category * number of fires by fire size class and response category * area burned by fire size class and response category * area burned by productivity class, stocking class, maturity class and response category * other fire statistics, such as property losses

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    A feature is a representation of a real world object, such as a lake, stream, dam or rapid. There are three hydrographic feature classes:  points, lines and polys.   All may impede or be hazardous to waterflow and/or navigation on a watercourse or waterbody. This data shows natural and manmade line features. Examples include: * break walls * dams * waterfalls * lock-gates * rapids * rocks * Sea Lamprey barriers * shipwrecks This product requires the use of geographic information system (GIS) software. [Technical Bulletin: Data migrated to new Ontario Hydro Network (OHN) - Hydrographic Feature Data Classes (PDF)](http://geo2.scholarsportal.info/proxy.html?http:__maps.scholarsportal.info/files/PDFS/public/OGDE/OHN/TB-HydrographicFeatureClasses_Implementation_100908.pdf)

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    The Ministry of Natural Resources defines ecological units on the basis of bedrock, climate (temperature, precipitation), physiography (soils, slope, aspect) and corresponding vegetation. This enhances their compatibility with national and continental classification systems. The ecological land classification (ELC) of Ontario is used for descriptive, planning, and resource management purposes. The upper levels in its hierarchy may be relevant for provincial and municipal land-use planning initiatives. The lower (finer-scale) levels of the hierarchy are most useful for detailed resource management prescriptions and other local and site planning applications. This packaged dataset is classified into 3 hierarchical categories: * Ecozone: used for national and coarse-scale provincial reporting such as analyses of climate, demographics and watersheds * Ecoregion: used for determining the significance or status of wetland classes and certain other natural heritage features (e.g., old growth forest), setting targets for Wilderness Class Provincial parks, State of the Forest reporting and studying natural disturbance regimes * Ecodistrict used for assessing biodiversity levels, defining seed zones, mapping ecosystem types and setting targets for the identification of natural heritage systems [Introduction to ecological land classification](https://www.ontario.ca/page/introduction- ecological-land-classification-systems)

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    Statistics include the flood magnitude with the following recurrence intervals: * 1:2 years * 1:2.33 years * 1: 5 years * 1:10 years * 1:20 years * 1:25 years * 1:50 years * 1:100 years * 1:200 years * 1: 500 years These flood statistics can be used for applications such as floodplain delineation and the design of hydraulic structures.

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    Data set contains geographical referencing information like: * type of feature or place * location coordinates * geographic township * municipal and map references Also contains places and background information behind their official naming like: * name status * naming date * name origin * naming history This layer used to be distributed under the name "Geographic Name Extent" but was modified to "Geographic Named Extent" in November 2011. [About Geographic Names](https://www.ontario.ca/page/geographic-names)

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    Designated gas storage areas are land areas designated by the Ontario Energy Board that contain geological formations used for subsurface storage of natural gas. This product requires the use of geographic information system (GIS) software.

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    Get data on the locations of sample sites for the Guide Effectiveness Monitoring Program This dataset shows the locations of sample sites for the Guide Effectiveness Monitoring (GEM) Program. The GEM Program evalutes the effectiveness of forest management guides on songbird occupancy rate and community structure. Learn about the procedures and protocols used for this study in the [Centre for Northern Forest Ecosystem Research Technical Report 004: Effectiveness Monitoring of Forest Management Guides](http://www.ontla.on.ca/library/repository/mon/25011/309546.pdf).