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.

Number of visitors to Ontario grouped by selected overseas countries. ## Related * [Inbound visitor spending](/dataset/inbound-visitor-spending) * [Inbound visitor spending by country](/dataset/inbound-visitor-spending-by-country) * [Inbound visits](/dataset/inbound-visits) * [Inbound Visits by U.S. State](/dataset/inbound-visits-by-us-state) * [Inbound visitor spending by U.S. state](/dataset/inbound-visitor-spending-by-us-state) *[U.S.]: United States *[US]: United States

Wetlands are lands that are seasonally or permanently flooded by shallow water. They also include lands where the water table is close to the surface. The wetland polygons are managed independently from other hydro data classes and may overlap water bodies or other hydro data. Not all wetlands have been identified and mapped. Active maintenance is ongoing province wide. The currency and accuracy of the spatial representation is variable and requires on-the-ground verification.

Data with the following information for large landfills: * landfill capacity * fill rates * estimated remaining capacity * engineering designs * reporting and monitoring details **This dataset was last updated in 2014 and contains out of date information. It has been replaced by the [Ontario landfills](https://data.ontario.ca/dataset/ontario-landfills) dataset.**

The attribute table included in the dataset provides some limited metadata information that is specific to each lake. This includes the: * survey year * survey method * original map scale This dataset should be used for discovery of Bathymetry data. It provides no bathymetric information, but allows users to discover where bathymetry data exists and in what format. Related datasets: * [Ontario waterbody location identifer](https://data.ontario.ca/dataset/ontario-waterbody-location-identifier)

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).

Data includes: * The Lake Superior watershed * The Lake Huron watershed * The Lake Erie watershed * The Lake Ontario watershed * The St. Lawrence River watershed

A borehole is a general term for any narrow shaft drilled in the ground, either vertically or horizontally. A borehole may be constructed for many different purposes, including: * extraction of water or fluid (e.g., oil) or gases (e.g., natural gas or methane) * for a geotechnical investigation * for an environmental site assessment * for mineral exploration * as a pilot hole for installing piers or underground utilities This data contains a continuous log of strata for each borehole as well as for geocolumns. A geocolumn is a collection of information from an examination of exposed substrate, such as in a quarry wall or along a roadway passage.

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 poly features.  Examples include: * break walls * dams * rapids * shipwrecks [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-OHN-PostMigration_101112.pdf)

This data breaks down estimated hunters as well as antlered, antlerless and total harvest numbers by: * wildlife management unit (WMU) * calendar year Harvest and active hunter numbers are estimates based on replies received from a sample of resident hunters and are therefore subject to statistical error. Additional technical and statistical notes can be found in the data dictionary.