The Ontario Trail Network (OTN) contains geospatial networks of trails in urban, rural and wilderness settings that are managed by a named organization for transportation, recreation, active living or tourism purposes. The OTN relies on data sharing partnerships with local trail organizations and municipal, provincial and federal governments for ongoing updates and maintenance. Trails in the OTN must be: * associated with a named trail organization * intended for free or paid public access * marked and maintained The OTN collection includes two data classes: * Ontario Trail Network segment derived * Ontario Trail Network access points __Ontario Trail Network segment derived__ This spatial dataset represents segments of trails in the OTN. Trail segments define a linear corridor through the natural or urban environment. The corridors may be single segments or form a looping system. The data includes characteristics about each trail, such as: * trail name * trail association * permitted use * description * length Examples of trail types include: * hiking or walking * cycling * cross-country skiing and snowshoeing * paddling and portage * equestrian * snowmobiling, all terrain vehicle and off-road motorcycle * barrier free (wheelchair accessible) * ice skating Some trail networks have official access points. You can find the location of these points in the OTN_ACCESS_POINT spatial dataset. __Ontario Trail Network access points__ This spatial dataset represents the main access points to a trail system that is part of the OTN. This layer should be used together with OTN Segment Derived. Access points can be spatially related to a trail network based on relative location to a trail segment. Not all trail networks will have official access points.

These datasets show the areas where major crops can be expected within the agricultural regions of Canada. Results are provided as rasters with numerical values for each pixel indicating the level of spatial density calculated for a specific crop type in that location. Regions with higher spatial density for a certain crop have higher likelihood to have the same crop based on the previous years mapped crop inventories.

Lake sturgeon's presence zones, breeding, feeding and concentration areas according to a literature review of documents produced between 1976 and 2002.Data extracted from the Fish Habitat Management Information System (FHAMIS).

Anthropogenic and natural constraints of the revised land use and development plan of the City of Laval.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The purpose of the Licence Area feature is to record areas where a licencee holds a timber resources licence, a woodlot licence or a fuel wood licence. Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection. For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)

Anthropogenic and natural constraints” of the revised land use and development plan of the City of Laval**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Lake Simcoe lake monitoring program provides measurements of chemical and physical water quality limits such as total phosphorus, nitrogen, chlorophyll a, pH, alkalinity, conductivity, dissolved organic and inorganic carbon, silica, other ions, water transparency, temperature and dissolved oxygen. Samples are collected biweekly during the spring, summer and fall. *[pH]: potential of hydrogen

As the COVID-19 pandemic spreads, researchers and health professionals have noted large differences in the impact that the infection has on individuals. Whereas some remain asymptomatic and unaware of their infection or experience only mild symptoms, others require hospitalization, ventilation, and may even die. As research evidence accumulates, both nationally and internationally, it appears that certain health characteristics, such as obesity or the presence of chronic conditions, increase the risk of severe outcomes among those who are infected with the novel coronavirus. To better understand which segments of the Canadian population may be vulnerable to severe health outcomes related to COVID-19, Statistics Canada and the Public Health Agency of Canada have worked collaboratively to build an index of underlying health conditions in the adult household population. Using information from the 2017/2018 Canadian Community Health Survey, new data tables released today estimate the proportion of the adult household population who may be at greater risk of severe health outcomes related to COVID-19 due to the presence of underlying health conditions.

Specific planning areas of the revised layout and development plan of the City of Laval.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**