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    Traditional aboriginal names.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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    Border crossings are a feature included on the Official Road Map of Ontario (ORM) for information purposes to the travelling public. Included are highway-land and ferry crossings. It was created as part of the Digital Cartographic Reference Base (DCRB) for the production of the ORM.

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    Interchanges are shown on the Official Road Map of Ontario (ORM) as information for the travelling public. This feature class includes all interchanges on provincial highways as well as interchanges on other roads (eg. Municipal, outside of Ontario and US) that are shown on the ORM. *[ORM]: Official Road Map *[eg.]: for example *[US]: United States

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    This dataset contains manmade linear features in a transportation network, such as bridges and railway tunnels. It does not include roads. The linear features included are: * aerial cable ways * railway bridges * roadway bridges * railway and road bridges * pedestrian/cycle bridges * railway culverts * roadway culverts * parking lot limits * roads - edge * railway tunnels * roadway tunnels * road - under construction – edges We are no longer updating this data. It is best suited for historical research and analysis.

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    Depicts the internal boundaries of the Niagara Escarpment Plan area. The 7 land use designations are: * escarpment natural area * escarpment protection area * escarpment rural area * [minor urban centre](/dataset/minor-urban-centres-in-the-niagara-escarpment-plan) * urban area * escarpment recreation area * mineral resource extraction area The land use designations represent the internal boundaries between designations within the Niagara Escarpment Plan. These internal boundaries are not intended to be site-specific and should not be used for accurate measurements. The exact delineation of designation boundaries on specific sites will be done by the implementing body through the application of the designation criteria as outlined in Part 1 of the Niagara Escarpment Plan, utilizing the most detailed or up-to-date information available and site inspection. [More information](http://www.escarpment.org)

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    Pavement condition data is collected annually using an Automatic Road Analyzer (ARAN). Based on the automated data, the condition of the pavement is evaluated in terms of distresses (Distress Manifestation Index, DMI), wheel track rutting (in mm) and roughness (International Roughness Index, IRI). These indices are integrated into one Pavement Condition Index (PCI) for overall pavement condition reporting and analysis.

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    The dataset represents prominent linear (man-made or natural) features including: * cliffs * dykes * fences * walls * hedgerows * feature outlines * racetrack centre lines * racetrack edges We are no longer updating this data. It is best suited for historical research and analysis.

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    This dataset shows MTO managed/maintained picnic park locations. It was created as part of the Digital Cartographic Reference Base (DCRB) for the production of Official Road Map of Ontario (ORM). Picnic parks are shown on the Official Road map of Ontario as information for the travelling public. *[MTO]: Ministry of Transportation

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    The Digital Elevation Model (DEM) data is organized into 20km x 20km tiles with a spatial resolution of 5m. This data is intended to be used for pre-engineering survey and design as well as the production of planimetric mapping at differing accuracies. This data is intended for GIS and remote sensing application that require a high resolution, high accuracy elevation model. Official GEO title: Greater Toronto Area digital elevation model 2002

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    This dataset consists of man-made point features in a transportation network. Transport point features include: * Culvert Railway Symbolized - a enclosed drain under a railway * Culvert Roadway Symbolized - an enclosed drain under a roadway * Turntable Railway - a rotatable platform with a track, used to turn locomotives and cars We are no longer updating this data. It is best suited for historical research and analysis.