Get data on forest fires, compiled annually for the National Forestry Database [The National Forestry Database](http://nfdp.ccfm.org/en/index.php) includes national forest data and forest management statistics to seve as a credible, accurate and reliable source of information on forest management and its impact on the forest resource. Forest fire data is grouped into eight categories, which are further broken down by geographic location. These include: * number of fires by cause class and response category * area burned by cause class and response category * number of fires by month and response category * area burned by month and response category * number of fires by fire size class and response category * area burned by fire size class and response category * area burned by productivity class, stocking class, maturity class and response category * other fire statistics, such as property losses

This data breaks down estimated hunters as well as antlered, antlerless and total harvest numbers by: * wildlife management unit (WMU) * calendar year Harvest and active hunter numbers are estimates based on replies received from a sample of resident hunters and are therefore subject to statistical error. Additional technical and statistical notes can be found in the data dictionary.

This dataset shows the locations of ignition points for forest fires less than 40 hectares in size. Fires that grow larger than 40 hectares are mapped in the [Fire Disturbance Area](https://data.ontario.ca/dataset/fire-disturbance-area-firedstb) dataset. The [Forest Fire Info Map](https://www.gisapplication.lrc.gov.on.ca/ForestFireInformationMap/index.html?viewer=FFIM.FFIM&locale=en-US) shows active fires, current fire danger and restricted fire zones in place due to high fire danger.

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.

Polyline layer of ATV trails (off-road vehicles) on the territory of the city of Shawinigan. [Link to the complete Isogeo sheet] (https://open.isogeo.com/s/b6da64af30234cbda2afed3972a5fc3e/Urd8YxfJdWSzGaUmhHFMY60vx14s0/r/ce7bdd18c9ef493fab65ff4665f63f69?lock)! [Shawinigan logo] (https://jmap.shawinigan.ca/doc/photos/LogoShawinigan.jpg) **Collection method** Scanning from orthophotography **Attributes** * `objectid` (`integer`): * `season` (`char`): Season * `club` (`char`): Season * `club` (`char`): Name * `club` (`char`): Name * `char`): Name * `char`): Name * `class` (`char`): Number * `st' _length (shape) `(`double`): Length**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

La Financière Agricole's collective corn and grain crop insurance offers protection against losses in yield and quality assessed for the entire area where the insured units are located.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Grain Elevators in Canada - 2022 dataset maps the list of grain elevators in Canada as provided by the Canadian Grain Commission (CGC). The elevators have been located as much as possible to an actual location rather than generalizing to the station name centroid. Additionally car spot information from CN, CP and the grain companies has been added where this has been published. This dataset attempts to provide a temporal and geographical extent of the grain elevators in Canada.

List of all the civic addresses of Laval with their geographic coordinates.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Summary The Quebec region of the Department of Fisheries and Oceans (DFO) is responsible for the assessment of several fish and invertebrate stocks exploited in the Estuary and the northern Gulf of St. Lawrence. The commercial catches sampling program is one of the sources of information used to complete these assessments. The data collected by this program, at wharf or at sea, offers among other things the advantage of a relatively large spatio-temporal coverage and provides some of the necessary knowledge to assess the demography and the structure of the exploited populations. This program is implemented by specialized DFO staff whose main mandate is to collect biological data on groundfish, pelagic fish and marine invertebrate species that are commercially exploited in the various marine communities. Data This dataset on the Atlantic lyre crab (Hyas araneus) includes the metadata, sample weight, specimen weight, shell width and condition, sex and the right claw height of the specimens measured. This dataset covers the period of 2002 to present. In order to protect the confidentiality of the sources, some informations (such as those concerning the vessel) have been excluded and others (such as the date of capture) have been simplified. Entries where there was only one vessel for a given year and a fishing area were also excluded. Further information including the fishing areas coordinates can be found by clicking on the «Atlantic and Arctic commercial fisheries» and «Fishing areas» links below.

Polygonal layer of the road network in the territory of the city of Shawinigan. [Link to the complete Isogeo sheet] (https://open.isogeo.com/s/b6da64af30234cbda2afed3972a5fc3e/Urd8YxfJdWSzGaUmhHFMY60vx14s0/r/bb3634e2a1504d40b5d483fa071dd4df?lock)! [Shawinigan logo] (https://jmap.shawinigan.ca/doc/photos/LogoShawinigan.jpg) **Collection method** From Autocad digital files **Attributs** * `objectid` (`integer`): * `id_troncon` (`integer`): Section ID * `st_area (shape) ** `st_area (shape) `(`double`): Area * `st_length (shape)` (`double`):**This third party metadata element was translated using an automated translation tool (Amazon Translate).**