Mapping of geolocation plaques in Michel-Chartrand Park (City of Longueuil).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Political division of a municipality established for the purpose of electing a municipal councillor. This dataset contains the geographic representation of electoral districts.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

All the trees, mainly municipal, inventoried to date. The inventory is in progress, so it is not necessarily complete.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Location and description of trees inventoried in municipal rights-of-way and land belonging to the city of Saguenay**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Location of Bixi stations located on the territory of the City of Longueuil. The 7 Bixi stations located in Longueuil are part of the bike sharing network managed by the non-profit organization BIXI-Montréal.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The dataset includes two data products derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) imager operated by the US National Oceanic and Atmospheric Administration (NOAA) onboard Suomi National Polar-Orbiting Partnership (SNPP) satellite: 1) Normalized Difference Vegetation Index (NDVI) 2) Snow Mask (Snow) with supplementary information about data quality and scene identification Each product, NDVI and Snow, has been derived at two spatial resolutions: 1) I-band resolution for 250-m spatial grid (VIIRS image bands I1 and I2) 2) M-band resolution for 500-m spatial grid (VIIRS moderate resolution bands M5 and M7) Datasets are produced with a daily temporal frequency, i.e. one file per day. The study area with the size of 5,700 km × 4,800 km covers Canada and neighboring regions (Trishchenko, 2019). The VIIRS time series are produced from VIIRS /SNPP imagery at CCRS from January 1, 2017.

The MODIS Surface Albedo and Surface Reflectance Dataset (or simply Albedo) includes times series of 10-day composite products derived at 250-m spatial resolution over Canadian territory and neighboring areas produced at the Canada Centre for Remote Sensing (CCRS) since February 2000.The datasets contain spectral and broadband reflectance’s and albedo for MODIS bands B1-B7 designed primarily for land applications. The imagery for all spectral bands was downscaled and re-projected into the Lambert Conformal Conic (LCC) projection at 250-m spatial resolution. The area size is 5,700 km × 4,800 km. The specialized MODIS processing system was developed at CCRS to fully utilize the high quality of MODIS L2 swath imagery over the northern latitudes. As such, the CCRS Albedo product is different from the standard NASA product. The differences are related to temporal and spatial scaling, shape of kernel functions employed to fit data, as well as details of scene identification, atmospheric correction, and data fitting methodology. The data is hosted on AWS; users can follow the tutorial (https://github.com/OpsCCRS/AWS-Open-Data-Registry-Preparation/blob/main/CCRSMODISAlbedo/get-to-know-adataset-CCRSMODISAlbedo.ipynb) to access the data or via the URL in Data Resources for each year.

Orthophotographs of each sector of the city of Shawinigan Photo taken: May 2020**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Ontario Vector Topographic Data Cache is a collection of topographic data, that has been preprocessed for fast, seamless display at predefined scales. The topographic data includes constructed and natural features that make up Ontario’s landscape. The cache provides limited data from areas outside Ontario’s boundaries, such as the United States and adjacent provinces and territories. __Technical information__ Two versions of the Topographic Data Cache are available: 1. The traditional raster version is available for a variety of GIS applications and is updated annually. 2. The vector version is suitable for online web map applications as well as modern GIS software and is updated twice a year. Contributing data layers may have different maintenance and update cycles. Some cache layers have been processed in a way that makes it easier for them to be displayed in a mapping product. Other layers are unchanged from the authoritative data. The cartographic symbology used in the data cache is intentionally muted to allow users to showcase their data. The Ontario Vector Topographic Data Cache is created from many source datasets, which are described in the Ontario Vector Topographic Data Cache user guide. If you are interested in getting this authoritative data, you can download it from the [Ontario GeoHub](http://www.ontario.ca/geohub). For instructions on getting a copy of either version of the cache for use in mapping applications, visit the [Ontario GeoHub](http://www.ontario.ca/geohub).

A literature review, focusing on oil sand products (e.g., diluted bitumen), diluents, spill-treating agents, and crude oil toxicology and ecological studies, relevant to the northeast Pacific was compiled as part of the Government of Canada’s World Class Tanker Safety program. Of the 763 references identified, 14 involved diluted bitumen and other heavy crude oils, indicating the need for further research of these products in the marine environment. Diluent research suggests relatively fast evaporation and dispersion times for this component, however high toxicities may pose a threat to marine biota. Historical studies indicate older dispersant formulations had potential ecological implications, therefore newer formulations, which have not been studied in detail, require full assessment. Consistent utilization of toxicology standards remains elusive, hindering species sensitivity analyses. Exxon Valdez literature demonstrates highly variable impacts from a single oil type and the need for baseline data, recovery status, and suitable ecological end-point determination.