cl_maintenanceAndUpdateFrequency

RI_540

2358 record(s)
 
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    Atlantic salmon postsmolts were surveyed via surface trawling during 2001 and 2003. These data were provided to the Coastal Oceanography and Ecosystem Research section of Fisheries and Oceans Canada. These data, and information from subsequent tagging studies were considered to estimate the likelihood of presence of Atlantic salmon within the Area Response Plan regions. Atlantic salmon presence varies seasonally and this spatial information should be used in conjunction with the temporal information in the attribute table. A version of this dataset was created for the National Environmental Emergency Center (NEEC) following their data model and is available for download in the Resources section. Cite this data as: Lazin, G., Hamer, A.,Corrigan, S., Bower, B., and Harvey, C. Data of: Likelihood of presence of Atlantic Salmon in Area Response Planning pilot areas. Published: June 2018. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, St. Andrews, N.B. https://open.canada.ca/data/en/dataset/436cdf90-9d6b-4784-938b-feec48844a67

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    List of schools offering French programs.

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    Data show where pathogens - fungal, bacillial or viral - have caused damage by reducing growth rates, tree vigor or have killed trees. Examples of forest diseases include White Pine Blister Rust, Armillaria Root Rot etc. 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.

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    A feature is a representation of a real world object, such as a lake, stream, dam or rapid. There are three hydrographic feature classes:  points, lines and polys. All may impede or be hazardous to waterflow and/or navigation on a watercourse or waterbody. This data shows natural and manmade point features. Examples include: * waterfalls * rapids * rocks * Sea Lamprey barriers * shipwrecks This product requires the use of geographic information system (GIS) software. [Technical Bulletin: Data migrated to new Ontario Hydro Network (OHN) - Hydrographic Feature Data Classes (PDF)](https://geohub.lio.gov.on.ca/datasets/mnrf::ontario-hydro-network-ohn-hydrographic-point/)

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    This dataset represents unique Ontario waterbody location identification information including: * unique identifiers * geographic coordinates * geographic township * municipality * waterbody names, official and local (unofficial) This is a derived dataset from [Named geographic features](https://data.ontario.ca/dataset/named-geographic-features). This dataset should not be used as a source for official waterbody names. For more information on using Geographic Names, visit [Geographic names](https://www.ontario.ca/page/geographic-names).

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    Fish Culture Operation MNR identifies the locations of the Ontario Ministry of Natural Resources (MNR) fish culture stations (or hatcheries) and sub- stations. The data set outlines their property boundaries. This product requires the use of GIS software.

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    The Agri-Environmental Indicator Residual Soil Nitrogen (RSN) dataset estimates the amount of nitrogen remaining in the soil at the end of the growing season (after harvest) on Canadian agricultural lands annually.

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    Designed to represent true ground and bathymetric elevation, this digital elevation model (DEM) covers two sections of the Greater Toronto Area (GTA) along the western shoreline of Lake Ontario: * Hamilton in the west to Niagara-on-the-Lake in the east * Scarborough in the west to Port Hope in the east

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    Quad biking trails in Saguenay**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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    Natural cover includes areas that have been mapped as woodlands (including plantations and hedgerows), wetlands and other rare vegetative cover communities. Data here represent areas outlined in the Lake Simcoe Protection Plan Policy 6.48 (June 2011). This product requires the use of geographic information system (GIS) software.