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 poly features.  Examples include: * break walls * dams * rapids * shipwrecks [Technical Bulletin: Data migrated to new Ontario Hydro Network (OHN) - Hydrographic Feature Data Classes (PDF)](http://geo2.scholarsportal.info/proxy.html?http:__maps.scholarsportal.info/files/PDFS/public/OGDE/OHN/TB-OHN-PostMigration_101112.pdf) *[GIS]: geographic information system

Get information on research plots for the Guide Effectiveness Monitoring Program This dataset includes ecological information for Guide Effectiveness Monitoring (GEM) Program site locations. The GEM Program evalutes the effectiveness of forest management guides on songbird occupancy rate and community structure. Learn about the procedures and protocols used for this study in the [Centre for Northern Forest Ecosystem Research Technical Report 004: Effectiveness Monitoring of Forest Management Guides](https://www.ontario.ca/page/catalogue-natural-resource-scientific-and-technical-publications).

The flood magnitude statistics can be used for applications such as flood plain delineation and design of hydraulic structures. The drought severity statistics can be used for applications such as water abstraction and effluent dilution.

These data consist of the Recreational Shark Fishing Tournament landings database (1993-2022 inclusive) and the Canadian Dart tag database (2006 onwards; updated annually). Both were collected by the Maritimes Science Division of Fisheries and Oceans Canada. The landings records include biological sampling from 4266 animals and the dart tag records include 4138 tagging and 97 recapture events to date. Potential users should consult Bowlby et al. (2022) for the description, management history, and technical details pertaining to these data. Information is focused on Blue Sharks because they were the primary species captured at recreational tournaments. Cite this data as: Bowlby, H., Joyce, W. Recreational Shark Fishing Tournament Landings Data and Canadian Dart Tag Database. Published January 2023 . Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/4309f1f7-6779-416d-9660-c02f0f99b482

The built boundary identifies built-up urban areas across the Greater Golden Horseshoe. It is a fixed line that reflects what was built and on the ground when the Growth Plan came into effect in June 2006. The boundaries are an important implementation and monitoring tool for the Growth Plan for the Greater Golden Horseshoe. The built boundary will allow the province and others to measure intensification and redevelopment within the built-up area, and also allow us to monitor suburban development outside the built-up area. The built boundary was released in its final form on April 2, 2008, along with the methodology used to create it. This product requires the use of GIS software. *[GIS]: geographic information system

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

The land cover classes consist of vegetation types (such as forest, wetlands and agricultural crops or pasture) and categories of non-vegetated surface (such as water bodies, bedrock outcrops or settlements). These classes reflect the nature of the land surface rather than actual or potential land use. The 2000 Edition of the Ontario Land Cover Data Base is the Second Edition of this provincial land cover classification. The coverage is derived wholly from Landsat-7 Thematic Mapper (TM) satellite data frames recorded between 1999 and 2002, most from 2000 onward. The Provincial Land Cover (2000) Data Base is divided into 4 individual Universal Transverse Mercator (UTM) grid zone tiles (15, 16, 17, and 18) and is distributed in TIFF format. Documentation is provided with this database in the form of a user's guide and general use caveats. *[TIFF]: Tagged Image File Format *[TM]: Thematic Mapper *[UTM]: Universal Transverse Mercator

The porbeagle shark (Lamna nasus), is a species found in Atlantic Canadian waters which is encountered in commercial and recreational fisheries. Pop-up Satellite Archival Tags (PSAT) from Wildlife Computers were applied to porbeagle sharks from 2005 to 2021 to collect data on depth (pressure), temperature and ambient light level (for position estimation). Deployments were conducted in Canada and the Faroe Islands on commercial, recreational and scientific charters, typically in summer and fall but some over winter when the porbeagle commercial fishery was active in Canada. A variety of tag models were deployed: PAT 4 (n=1), Mk10 (N=41), and MiniPAT (N=15) and 51 of 57 tags reported. One individual shark was recaptured and the physical tag was returned. The porbeagle sharks tagged ranged in size from 76 cm to 249 cm Fork Length (curved); 42 were female, 15 were male. Time at liberty ranged from 4 – 356 days and 14 tags remained on for the programmed duration. Raw data transmitted from the PSAT’s after release was processed through Wildlife Computers software (GPE3) to get summary files, assuming a maximum swimming speed of 2m/s, NOAA OI SST V2 High Resolution data set for SST reference and ETOPO1-Bedrock dataset for bathymetry reference. The maximum likelihood position estimates are available in .csv and .kmz format and depth and temperature profiles are also in .csv format. Other tag outputs as well as metadata from the deployments can be obtained upon request from: warren.joyce@dfo-mpo.gc.ca or heather.bowlby@dfo-mpo.gc.ca.

Bluefin tuna landings are reported to the Department of Fisheries and Oceans and stored in the Maritime Fishery Information System Database. This database was queried in January 2016 for all reported landings of Bluefin tuna in coastal Nova Scotia. Longline data was excluded due to location uncertainties associated with the gear. Bluefin tuna sightings are also reported opportunistically to the DFO Whale Sightings Database. The Coastal Oceanography and Ecosystem Research section considered these landings and sightings to estimate the presence of Bluefin tuna within the Area Response Plan areas. Bluefin tuna presence varies seasonally and this spatial information should be used in conjunction with temporal information. 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 Bluefin Tuna 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/0c3b25df-f831-43e8-a8ac-336e1467c4fe

Metropolitan road network (RRM) and metropolitan arterial network (RAM) of the revised land use and development plan of the City of Laval.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**