The Magpie River ramping rate study (2000–2017) investigated the ecological effects of hydroelectric flow regulation on fish, invertebrates, and water quality in the Magpie and Batchawana rivers in the Algoma Region of Ontario. Conducted under a Fisheries and Oceans Canada–Brookfield Renewable partnership, the study employed a Before-After-Control-Impact (BACI) design to assess whether ramping rate restrictions at the Steephill Falls Waterpower Facility improved downstream conditions. Initial restrictions (2002–2005) were later removed, allowing unrestricted flow changes until 2017. In this dataset, monthly sampling from spring to fall included chlorophyll a and water chemistry at multiple sites to monitor productivity and detect irregularities. Analyses followed APHA standard methods, with chlorophyll a, pH, alkalinity, and conductivity processed at Fisheries and Oceans Canada, and major ions and nutrients at the Great Lakes Forestry Centre in Sault Ste. Marie, Ontario. Findings contribute to understanding flow management impacts on river ecosystems.

Shows areas where forest insect pests have damaged or killed trees by defoliation, foliage mining and wood boring. Tree mortality rarely occurs as the result of one year's infestation, but from the result of several consecutive years of infestation and other contributing factors affecting weakened trees (e.g., fungal invasion). The Government of Ontario tracks forest damage events to help proactively manage the detrimental effects to our forests.   We monitor the threat and spread of invasive forest pest insect species in Ontario. The data is also important to the Forest Management Planning process in calculating timber volume loss within affected areas This product requires the use of geographic information system (GIS) software.

The dataset contains line features which define trails that are used for: * hiking * backpacking * biking * horseback riding * cross-country skiing * snowmobiling * access to campgrounds

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

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.

This dataset contains miscellaneous point features including: * mine head frames * cadastral iron bar (a type of survey monument) * historical monuments * horizontal control monuments * mile posts * smoke stacks We are no longer updating this data. It is best suited for historical research and analysis.

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.

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

The OPS has adopted these boundaries for administrative and functional purposes which will facilitate enterprise initiatives and enhance customer service. We are no longer updating this data. It is best suited for historical research and analysis.

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.