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.

A tank is an above ground container that holds either petroleum or water. This data is no longer being updated. It is best suited for historical research 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.

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.

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.

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

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)

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.

Nice guys.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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.