The number of Electric Vehicles registered in Nova Scotia with an active licence plate attached. This data breaks down the number of electric vehicles by vehicle model year, vehicle make and County of Nova Scotia in which the licence plate owner resides.

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).**

This dataset provides marine bacteriological water quality data for bivalve shellfish harvest areas in Nova Scotia, Canada. Shellfish harvest area water temperature and salinity data are also provided as adjuncts to the interpretation of fecal coliform density data. The latter is the indicator of fecal matter contamination monitored annually by Environment and Climate Change Canada (ECCC) within the framework of the Canadian Shellfish Sanitation Program (CSSP). The geospatial positions of the sampling sites are also provided. These data are collected by ECCC for the purpose of making recommendations on the classification of shellfish harvest area waters. ECCC recommendations are reviewed and adopted by Regional Interdepartmental Shellfish Committees prior to regulatory implementation by Fisheries and Oceans Canada (DFO). This dataset is 'Deprecated'. Please use updated source here. https://open.canada.ca/data/en/dataset/6417332a-7f37-49bd-8be9-ce0402deed2a

__The link: *Access the data directory* is available in the section*Dataset Description Sheets; Additional Information*__. The **dendrometric lidar map** presents various dendrometric characteristics useful in particular in forest planning. It is a product in vector format that is complementary to the results of forest compilations found in the [Original Ecoforest Map and Current Inventory Results] (https://www.donneesquebec.ca/recherche/dataset/resultats-d-inventaire-et-carte-ecoforestiere) and in the [Results of forest compilations by forel] (https://www.donneesquebec.ca/recherche/dataset/compilations-forestieres-originales-par-forel-methode-k-nn). The geometric entities defined from the lidar data are at a finer scale than those in the ecoforest map. The main variables predicted and accessible in the product are as follows: + Usable volume per hectare by species, species group and certain diameter groups + Volume per hectare distributed by product for certain species groups + Basal area and number of stems per hectare for certain species groups + Average usable volume per rod and average diameter for certain species groups The volumes compiled in the lidar dendrometric map are variables distinct from the gross standing market volume predicted in the other forest compilation results, in the [Cubing rate and prediction models] ] (https://www.donneesquebec.ca/recherche/dataset/tarif-de-cubage) and for the stems counted in the sample plots of the ecoforest inventory of southern Quebec, for example in the [Temporary sample plots of the fifth inventory] (https://www.donneesquebec.ca/recherche/dataset/placettes-echantillons-temporaires-du-cinquieme-inventaire). This distinct volume is here qualified as “usable” and it excludes woody material between 9.1 cm in diameter without bark and 9.1 cm with bark. The published literature clarifies the differences between volume variables. This product is available for territories (planning unit, private forest development agency or residual forest territory) with a lidar acquisition and affecting the bioclimatic domains of fir to yellow birch, fir to white birch and spruce moss. Product coverage is not complete and will evolve over the years depending on the lidar acquisition. __ ⚠️ Notes: __ It is possible to use the [lidar dendrometric data preparation tool] (https://www.donneesquebec.ca/recherche/dataset/carte_dendrometrique_lidar/resource/d447ac59-8310-4fad-95f7-7495a3624466) to study one or more sectors at a finer scale than that of the ecoforest map. The [Lidar dendrometric tool user guide] (https://mrnf.gouv.qc.ca/nos-publications/guide-outil-dendrometrique-lidar/) presents the methodology for its application to meet the needs of operational forest harvest planning.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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).**

Provincial listing of Active Condominium Corporation in Nova Scotia by County.

Mapping of payment terminals on the territory of the City of Longueuil.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

A directory and map of settlement service providers in Nova Scotia. Provides contact information for the organizations (Mailing and physical addresses, phone numbers) as well as a list of the types of services available through each service provider (Assessment and Orientation, Language, Employment and Business, Youth and Young Adult, Recreation and Socialization, Francophone, Distance/Multiple Locations, and Other).

Provincial listing of Active Condominium Corporation in Nova Scotia by County.

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.