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.

This program summarizes long term water chemistry and chlorophyll a monitoring in north central Ontario lakes developed under Canada’s Long Range Transport of Air Pollutants (LRTAP) initiative to understand and track lake acidification caused by atmospheric deposition. Centered on the intensively studied Turkey Lakes Watershed since 1979 and complemented by broader headwater and mesoscale lake networks around Sault Ste. Marie, Ontario, as well as a few locations near Parry Sound, Ontario, the monitoring integrates catchment scale approaches to link atmospheric inputs, watershed processes, and aquatic responses. Water chemistry measurements quantify acid–base status, major ions, nutrients, and trace metals to diagnose sensitivity to acidification, episodic stress during events such as spring snowmelt, and long term chemical recovery following emission controls. Chlorophyll a is used alongside chemistry to indicate phytoplankton biomass, lake productivity, and overall water quality, providing biological context for fish habitat and ecosystem condition. Together, these coordinated datasets support both detailed process studies and regional assessments of lake sensitivity, productivity, and ecological recovery across a heterogeneous landscape.

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

The Ministry of Transportation's Remote Northern Transportation Office in Thunder Bay operates 29 airports. These are located in Ontario's far north, extending from the Manitoba border on the west to Hudson's Bay on the north and to the Quebec border on the east. Except for Pickle Lake and Armstrong, these airports serve aboriginal communities, which have no all-weather road access to the rest of Ontario.

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

Interchanges are shown on the Official Road Map of Ontario (ORM) as information for the travelling public. This feature class includes all interchanges on provincial highways as well as interchanges on other roads (eg. Municipal, outside of Ontario and US) that are shown on the ORM. *[ORM]: Official Road Map *[eg.]: for example *[US]: United States

Official place names in Quebec, except odonyms (names of communication routes).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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.

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

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.