[Fish ON-Line](https://www.ontario.ca/page/how-use-fish-line) is a mobile fishing tool with information on where to fish in Ontario. It includes information for over 20,000 waterbodies including: * fish species observations * fish stocking * fishing regulations and sanctuaries * fishing access points * lake depth contours * licence issuer locations It also has links to other sources of information such as: * broad-scale monitoring program * provincial parks * Guide to Eating Ontario Fish * local weather forecasts Related datasets: * [Aquatic Resource Areas - Polygons](https://data.ontario.ca/dataset/aquatic-resource-area-polygon-segment) * [Aquatic Resource Areas - Lines](https://data.ontario.ca/dataset/aquatic-resource-area-line-segment) * [Bathymetry Lines](https://data.ontario.ca/dataset/bathymetry-lines) * [Fishing Regulation Exemptions](https://data.ontario.ca/dataset/recreational-fishing-regulations-data) * [Fish Stocking](https://data.ontario.ca/dataset/fish-stocking) * [Fishing Access Points](https://data.ontario.ca/dataset/fishing-access-points) * [Fisheries Management Zones](https://data.ontario.ca/dataset/fisheries-management-zone) * [Geographic Names](https://data.ontario.ca/dataset/named-geographic-features) * [Guide to Eating Ontario Fish](https://data.ontario.ca/dataset/guide-to-eating-ontario-fish-advisory-database) * [Licence Issuer Locations](https://data.ontario.ca/dataset/hunting-and-fishing-licence-issuers) * [Ontario waterbody location identifer](https://data.ontario.ca/dataset/ontario-waterbody-location-identifier)

Identifies First Nation Reserve boundaries defined by the Legal Surveys Division of Natural Resources Canada.

Mapping of the sections for calculating noise constraints in the urban planning code (CDU) on the territory of Laval.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Flood tactical maps have currently been developed for the English River, Rainy River, Montreal River, Black River, Trent River, Madawaska, Magnetawan, Muskoka, Mississippi Valley, French, Sturgeon and Nippissing watersheds. The purpose of these maps is to show more succinctly the physiography of the region, the individual river watersheds, ongoing monitoring, location of dams, high risk dams/reservoirs and communities. We are no longer updating this data. It is best suited for historical research and analysis.

The attribute table included in the dataset provides some limited metadata information that is specific to each lake. This includes the: * survey year * survey method * original map scale This dataset should be used for discovery of Bathymetry data. It provides no bathymetric information, but allows users to discover where bathymetry data exists and in what format. Related datasets: * [Ontario waterbody location identifer](https://data.ontario.ca/dataset/ontario-waterbody-location-identifier)

Land Features entities are: Island, Shoreline, Wooded Area, Saturated soil, Landform Feature (esker, sand\...), and Cut Line. CanVec is a digital cartographic reference product of Natural Resources Canada (NRCan). It originates from the best available data sources covering Canadian territory, offers quality topographical information in vector format, and complies with international geomatics standards. CanVec is a multi-source product coming mainly from the National Topographic Data Base (NTDB), the Mapping the North process conducted by the Canada Center for Mapping and Earth Observation (CCMEO), the Atlas of Canada data, the GeoBase initiative, and the data update using satellite imagery coverage (e.g. Landsat 7, Spot, Radarsat, etc.). Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection. For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)

This layer shows surveyed parcels that fall under the Agricultural Development Area Regulations or are within an agricultural zone as defined in one of the Development Area Regulations ( [Find zoning maps for Yukon communities \| Government of Yukon](https://yukon.ca/en/find-zoning-maps-yukon-communities) ). The field "Title Description" indicates if the parcels is titled to private, a government entity (commissioner, community or federal) or untitled. If you find any errors in the dataset please contact [lands.gis@yukon.ca](mailto:lands.gis@yukon.ca)   Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) .   Discover more digital map data and interactive maps from Yukon's digital map data collection. For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)  

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.

Vaccinium is a group of small fruit-bearing shrubs that includes the blueberries, cranberries, and lingonberries which are among the few major crops grown in Canada that are truly native to Canada. Dataset Type: Occurrence Specimen Type: Preserved specimens

Description: Seasonal climatologies for temperature of the Northeast Pacific Ocean were computed to cover the period 2001 to 2020. Historical observations included all available conductivity-temperature-depth (CTD), bottle and profiling floats in the NODC World Ocean Database, Marine Environmental Data Services (MEDS), Institute of Ocean Sciences Water Properties website and the Canadian Integrated Ocean Observing System (CIOOS Pacific). Methods: Interpolation was carried out in up to fifty-two vertical levels from surface to 5000m. Data-Interpolating Variational Analysis (DIVA) was used for spatial interpolation for all years within each season and estimates projected onto a consistent grid. The average of the grid nodes was calculated to obtain the seasonal climatology. DIVA was used again on the final climatology followed by a median filter and a 5-point smoother. Spring months were defined as April to June, summer months were defined as July to September, fall months were defined as October to December, and winter months were defined as January to March. The data available here contain raster layers of seasonal temperature climatologies for the Canadian Pacific Exclusive Economic Zone (EEZ), a subset of seasonal climatologies of the Northeast Pacific Ocean, in high spatial resolution of 1/300 degree. Data Sources: NODC, MEDS, IOS and CIOOS Pacific Data. Uncertainties: Uncertainties are introduced when quality controlled observational data are spatially interpolated to varying distances from the observation point. Climatological averages are calculated from these interpolated values.