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 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.

Travel Information Centres are available throughout the province of Ontario, and offer tourists and travelers insight and information about Ontario. For more details about these centres, please visit [Info Centres](https://www.destinationontario.com/en-ca). Travel Information Centres can also be viewed on a map, by visiting [Ontario 511](https://511on.ca), and can be found under the "service" layer.

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

This dataset contains linear features constructed by beavers. The linear features are captured to scale on: * single line rivers * lakes * double line rivers We are no longer updating this data. It is best suited for historical research and analysis.

This dataset contains manmade linear features in a transportation network, such as bridges and railway tunnels. It does not include roads. The linear features included are: * aerial cable ways * railway bridges * roadway bridges * railway and road bridges * pedestrian/cycle bridges * railway culverts * roadway culverts * parking lot limits * roads - edge * railway tunnels * roadway tunnels * road - under construction – edges 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.

This spatial dataset contains a summary of fishing regulations and fish sanctuary descriptions. The data includes information on: * species catch and possession limits * size limits * seasons and close times * fish sanctuaries * bait and gear restrictions * regulations for specific fisheries management zones and waterbodies This dataset is not intended for legal purposes nor is it a complete representation of current regulations. For details on the current regulations, visit: * the [Fish and Wildlife Conservation Act](https://www.ontario.ca/laws/statute/97f41), S.O. 1997 * the [Fisheries Act](https://laws-lois.justice.gc.ca/eng/acts/F-14/), R.S.C., 1985 * the [Ontario Fishery Regulations](https://www.ontario.ca/document/ontario-fishing-regulations-summary?_ga=1.18007353.1041674230.1453227955) Close times, fishing quotas and size limits established in the Ontario Fishery Regulations may be changed through variation orders. Learn more at [Ontario.ca/fishing](Ontario.ca/fishing). Related datasets: * [Ontario waterbody location identifer](https://data.ontario.ca/dataset/ontario-waterbody-location-identifier)

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.

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