For several years, the City of Montreal has supported the creation of exterior murals that are visible, creative and linked to their context. Through various programs, unified since 2016 under the Mural Art Program, the City has supported the creation of hundreds of murals. This data set shows murals funded by the City of Montreal since 2007. To learn more, view the map of the murals and discover the creations, a [website] (https://ville.montreal.qc.ca/murales/) from the City of Montreal is also available.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This set locates the establishments under the responsibility of the Food Inspection Division of the City of Montreal. It should be noted that the City is a mandatary of the Ministère de l'Agriculture, des Pêcheries et de l'Alimentation du Québec (MAPAQ) with respect to inspection on its territory.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Oil and Gas Rights dataset contains the digital boundaries for existing exploration licences, significant discovery licences, production licences, former permits, former leases and the Norman Wells Proven Area. These boundaries are available for download on the Northern petroleum pesources Website at https://www.rcaanc-cirnac.gc.ca/eng/1100100036087/1538585604719. The Oil and Gas Rights dataset is Crown-Indigenous Relations and Northern Affairs Canada (CIRNAC) and Indigenous Services Canada (ISC) primary source for northern petroleum titles geographic location on maps.

Map of Quebec City fire hydrants**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Examine documentary collection contains more than 80,000 documents (bibliographical data, reports, maps). **This dataset only contains the location of the documents**. A link in the data provides access to reports, maps, and other data.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Each pixel value corresponds to the mean historical “Best-quality” Max-NDVI value for a given week, as calculated from the previous 20 years in the MODIS historical record (i.e. does not include data from the current year). These data are also often referred to as “weekly baselines” or “weekly normals”.

Point layer showing the locations of facilities. A "facility" is an area that contains one or more components. For example, a visitor centre facility might include two parking lots a playground, a separate building for washrooms, a kiosk for renting canoes, picnic tables and barbeques Data is not necessarily complete - updates will occur weekly.

Mapping of neighborhoods in Quebec City.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This data represents the dryness of the land surface based on vegetation conditions. The data is created weekly and uses weekly information on precipitation anomalies (namely the Standardized Precipitation Index or SPI) and satellite vegetation condition derived from Normalized Difference Vegetation Index (NDVI) from the MODIS Satellite. These dynamic data sets along with static data sets on land cover, soil water holding capacity, irrigation, ecozones and land surface elevation are used to model the drought severity, based on the Palmer Drought Severity Index (PDSI). The mapcubist model was trained on historical data and applied in real time to the dynamic inputs to produce drought severity ratings. The model is run at a 1km resolution and was developed by the AAFC, the United States Geological Survey and the United States Drought Monitor at the University of Nebraska Lincoln.

Each pixel value corresponds to the best quality maximum NDVI recorded within that pixel over the week specified. Poor quality pixel observations are removed from this product. Observations whose quality is degraded by snow cover, shadow, cloud, aerosols, and/or low sensor zenith angles are removed (and are assigned a value of “missing data”). In addition, negative Max-NDVI values, occurring where R reflectance > NIR reflectance, are considered non-vegetated and assigned a value of 0. This results in a Max-NDVI product that should (mostly) contain vegetation-covered pixels. Max-NDVI values are considered high quality and span a biomass gradient ranging from 0 (no/low biomass) to 1 (high biomass).