Probability of 10-day precipitation total above 10mm (p10d_prob10). Week 1 and week 2 forecasted probability is available daily from September 1 to August 31. Week 3 and week 4 forecasted probability is available weekly (Thursday) from September 1 to August 31. Precipitation (moisture availability) establishes the economic yield potential and product quality of field crops. Both dry and wet precipitation extremes have the ability to inhibit proper crop growth. The greatest daily precipitation index covers the risk of excessive precipitation in the short term, while the other indices pertain to longer term moisture availability. Agriculture and Agri-Food Canada (AAFC) and Environment and Climate Change Canada (ECCC) have together developed a suite of extreme agrometeorological indices based on four main categories of weather factors: temperature, precipitation, heat, and wind. The extreme weather indices are intended as short-term prediction tools and generated using ECCC’s medium range forecasts to create a weekly index product on a daily and weekly basis.

Punctual location of structures under the management of MTMD (various types of: bridge, culvert (over 4.5 meters), gantry, wall and tunnel).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The number of days during the forecast period with an average wind speed greater than 30 km/h (nswd). Week 1 and week 2 forecasted index is available daily from September 1 to August 31. Week 3 and week 4 forecasted index is available weekly (Thursday) from September 1 to August 31. Winds can significantly influence crop growth and yield mainly due to mechanical damage of plant vegetative and reproductive organs, an imbalance of plant-soil-atmosphere water relationships, and pest and disease distributions in agricultural fields. The maximum wind speed and the number of strong wind days over the forecast period represent short term and extended strong wind events respectively. Agriculture and Agri-Food Canada (AAFC) and Environment and Climate Change Canada (ECCC) have together developed a suite of extreme agrometeorological indices based on four main categories of weather factors: temperature, precipitation, heat, and wind. The extreme weather indices are intended as short-term prediction tools and generated using ECCC’s medium range forecasts to create a weekly index product on a daily and weekly basis.

The greatest daily precipitation over the forecast period (p1d). Week 1 and week 2 forecasted index is available daily from September 1 to August 31. Week 3 and week 4 forecasted index is available weekly (Thursday) from September 1 to August 31. Units: mm Precipitation (moisture availability) establishes the economic yield potential and product quality of field crops. Both dry and wet precipitation extremes have the ability to inhibit proper crop growth. The greatest daily precipitation index covers the risk of excessive precipitation in the short term, while the other indices pertain to longer term moisture availability. Agriculture and Agri-Food Canada (AAFC) and Environment and Climate Change Canada (ECCC) have together developed a suite of extreme agrometeorological indices based on four main categories of weather factors: temperature, precipitation, heat, and wind. The extreme weather indices are intended as short-term prediction tools and generated using ECCC’s medium range forecasts to create a weekly index product on a daily and weekly basis.

Heat Wave Days are the number of days in the forecast period with a maximum temperature above the cardinal maximum temperature, the temperature at which crop growth ceases (dhw_cool). This temperature is 30°C for cool season crops. Week 1 and week 2 forecasted index is available daily from April 1 to October 31. Week 3 and week 4 forecasted index is available weekly (Thursday) from April 1 to October 31. Cool season crops require a relatively low temperature condition. Typical examples include wheat, barley, canola, oat, rye, pea, and potato. They normally grow in late spring and summer, and mature between the end of summer and early fall in the southern agricultural areas of Canada. The optimum temperature for such crops is 25°C. Agriculture and Agri-Food Canada (AAFC) and Environment and Climate Change Canada (ECCC) have together developed a suite of extreme agrometeorological indices based on four main categories of weather factors: temperature, precipitation, heat, and wind. The extreme weather indices are intended as short-term prediction tools and generated using ECCC’s medium range forecasts to create a weekly index product on a daily and weekly basis.

Decisions come from applications for authorization submitted under the Act respecting the protection of land and agricultural activities (LPTAA L.R.Q., c. P-41.1) relating to: - the inclusion or exclusion of lots in the agricultural zone; - the establishment or expansion of uses other than agricultural; - the establishment or expansion of uses other than agricultural; - the subdivision or the alienation of lots or parts of lots; - the exploitation of protected agricultural resources (cutting maple, removal of arable soil) and other resources (water extraction, quarry, gravel, sand pit and mine). o The applications for authorization under the Act respecting the acquisition of agricultural land by non-residents (LATANR, L.R.Q., c.A-4.1) are also included in the decisions. o Certain decisions rendered by the Commission have been contested before the Administrative Tribunal of Quebec, territory and environment section. The decisions of the Administrative Tribunal of Quebec may be appealed before the courts. · Source of decisions o The reference documents that served as the basis for the digitization of decisions are: the Quebec Topographic Database (BDTQ) at a scale of 1:20,000, the cadastral compilation at a scale of 1:20,000, the Cadastral of Quebec, the Cadastre of Quebec, orthophotos and various plans. · Warning and limitations o The digital mapping of decisions resulting from applications for authorization constitute a working document and not a map comprehensive. In fact, some may be absent or are represented in the form of points due to the lack of information or location plans. o With the progress of cadastral renovation, more and more territories in agricultural areas are dependent on the new cadastre. The renovated cadastre has the advantage of being more precise and better structured than the cadastral compilation. On the other hand, you should know that several decisions have been rendered and mapped on the cadastral compilation. Therefore, in order to limit the risks of misinterpretation, refer to the text of the decision as well as to the attached plan if necessary to validate the positioning if necessary.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The dataset contains projects that are currently, or have been, subject to environmental assessment review. Attributes include the project description, project phase, decision, and proponent name. This layer consists of points themed two ways: a. Project Phase- This theme consists of layers showing what phase each project is in - pre-EA, application review, post-decision, and withdrawn or terminated; and b. Project Type - This theme consists of nine layers that reflect the potential types of projects under review. This dataset is coming from the EAO Project Information Centre (EPIC) and is updated daily. For more information on any of the project points go to https://projects.eao.gov.bc.ca/.

This dataset contains parks and protected areas managed for important conservation values and are dedicated for the preservation of their natural environments for the inspiration, use and enjoyment of the public. Places of special ecological importance are designated as ecological reserves for scientific research and educational purposes. Source data is Tantalis. *April 18, 2018: Prior to this date this dataset had one spatial boundary per park per survey plan that intersected the boundary of that park. This resulted in multiple identical boundaries for each park that had more than one survey plan overlapping it’s boundaries. The change aggregated the park data so that there is just one boundary per park with the plan numbers concatenated into a single column where each different plan number is separated by a comma.

Work in progress during the current day on the territory of the City of Sherbrooke.attributs:ID - Unique identifier Municipality - Municipality codeType - Type of workSub-type - Sub-type of workDescription - Description of the workDescription - Description of the workDescription - Description of the workConstruction - Construction unit - Unit of realization of the workLocation - Unit of realization of the workLocation - Street affected by the workIntersection - Intersection affected by the worksCivic number - Civic number concerned by the worksCivic number concerned by the worksCivic number concerned by the worksCivic number concerned by the worksConstruction - Unit of completion of the workLocation - Street affected by the workIntersection - Intersection affected by the worksIntersection - Intersection affected by the worksNo_Civic - Civic number concerned by the worksCivic number concerned by the worksCivic number Voie_de - Cross lane from which the street is affected (see LOCATION) WAY_A - Cross lane up to which the street is affected (see LOCATION) DATE_START - Construction start date (UTC or local depending on the various formats offered) DATE_END - Construction end date (UTC or local depending on the various formats offered) TRAFFIC - Effect on trafficSignaler - Presence of signalersPresence of signalsSpeed - Modification of the speed limitSpeed - Modification of the speed limitPolice - Increased police presenceCoureWater - Cutoff in the drinking water supplyPerteAccess - Temporary loss of access to vehicle entrancesCommon transport - Possible disruption of public transitSchool - Presence of a school or school corridorCommerce - Presence of businessesSubsequent workSubsequent work - Planned subsequent workNote - Additional clarificationsDebuthe date - Construction start date (Eastern Time) “YYYY-MM-DD HH:MM"dateFinHe - Date of completion of work (Eastern Time) “YYYY-MM-DD hh:mm”**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This data set contains the sightings of coyotes documented by the City of Montreal since 2017. Most of this information comes from citizen observations that were reported to the City of Montreal. They are collected as part of the implementation of the City of Montreal's Coyote Management Plan, unveiled in 2018. Its objective is to promote coexistence with coyotes living in urban areas by focusing on public education, methods for modifying the behavior of coyotes and on targeted interventions aimed at aggressive animals to ensure the safety of the Montreal population.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**