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.

The purpose of this dataset is to depict the boundaries of the Niagara Escarpment Plan. The outer boundary of the area covered by the Niagara Escarpment Plan is fixed and inflexible. It can only be changed by a plan amendment. It is formed by a combination of features like: * roads * railways * electrical transmission lines * municipal and property boundaries * lot lines * rivers * other topographic features [More information](http://www.escarpment.org)

Get data on fish stocking records from 1900 - 2012. This dataset is the most complete collection of historical fish stocking records available for the time period 1900 to 2012. It includes: * data source * species * rearing location * developmental stage * stock strain * spawning year * stocking date Related datasets: * [Ontario waterbody location identifer](https://data.ontario.ca/dataset/ontario-waterbody-location-identifier)

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

The Niagara Escarpment Special Policy Area is comprised of the North Aldershot Policy Area and the Waterdown Policy Area. [More information](http://www.escarpment.org)

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.

The Ontario in-filled climate data collection includes information from 339 monitoring stations maintained by the Meteorological Service of Canada. Historical climate data commonly has missing hourly and daily records due to equipment malfunctions, temporary site maintenance or other reasons. “In-filling” is a technical process that draws on data from nearby stations to fill in these missing records. This collection contains fully in-filled precipitation and temperature records for Ontario from 1950 to 2005. It is organized into eight separate databases in Microsoft Access format. One of the databases contains daily in-filled climate records. The remaining seven databases contain hourly in-filled climate records divided into regions for manageability.

This dataset is used to: * assess biodiversity levels * define seed zones * map ecosystem types * set targets for the identification of natural heritage systems

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.