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.

A "contaminant attenuation zone" is a three-dimensional zone that is, * located on land adjacent to a landfilling site, * in the subservice or extends into the subsurface, and * is used or is intended to be used for the attenuation of contaminants from the landfilling site to levels that will not have an unacceptable impact beyond the boundary of the zone. This product requires the use of geographic information system (GIS) software.

This dataset is used for national and coarse-scale provincial reporting such as analyses of climate, demographics and watersheds.

This historic dataset delineates valley segments based on a number of different natural features. The data applies to valley segments on the Ontario side of the Great Lakes. Aquatic Landscape Inventory System (ALIS) has also been incorporated into the [Aquatic Ecosystem Classification: Great Lakes Basin and Wetlands Data Class](/dataset/aquatic-ecosystems-in-the-great-lakes-basin) and the Great Lakes Conservation Blueprint for Aquatic Biodiversity datasets. We are no longer updating this data. It is best suited for historical research and analysis.

Get data on provincially tracked species locations generalized to a 1km by 1km grid. This spatial dataset contains generalized location data for: * species of conservation concern (including species at risk) * plant communities * wildlife concentration areas. The data includes a spatial layer and related table. We recommend using the geodatabase, as the relationship between the spatial layer and its table is built in. If you prefer another format, the ‘complete shapefile’ download is the only option that includes the spatial layer and its related table in one package. This data can be used to identify species or ecological communities on or near your property or project site.

The dataset identifies the location and types of Federal Land. These polygon boundaries should be verified using Federal Crown Land Survey Records and/or title searched at the local Land Registry Office. This data set may not include all Federally owned lands. Official GEO title: Federal Land Other

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 point features. Examples include: * waterfalls * 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)](https://geohub.lio.gov.on.ca/datasets/mnrf::ontario-hydro-network-ohn-hydrographic-point/)

Historical Oil Fields are subsurface accumulations or 'pools' of crude oil designated as such for the purposes of the Oil, Gas and Salt Resources Act. This product requires the use of geographic information system (GIS) software.

The Provincial Digital Elevation Model (PDEM) is a general purpose dataset designed to represent true ground elevation and is based on best-available data across the province. This dataset has not been conditioned for any specific application.

This data covers the entire Far North from 2005-2011. The data is provided in both grid and vector formats. It is broken into layers that cover UTM zones 15, 16 and 17. Layers representing each level of the classification hierarchy described in the data specs have been provided: * class * group * section Can be used to create a consistent map to meet regional - to landscape level analysis (1:100,000).