Map of Canada showing locations of facilities selling nautical charts in both paper and digital formats.

This dataset includes all MPMO projects at various stages in the review process, including those that are currently undergoing review and those that have completed a review.

This data set presents the places of interest in the City of Montreal according to the classification carried out as part of the Montreal on Foot (MàP) initiative in 2020. The Montréal à Pied project aims to improve orientation and pedestrian paths throughout Montreal. Although the data concern the territory of the boroughs, places of interest may be located on the territory of linked cities for a better coherence of geographic information.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The 1 cm resolution digital surface model (DSM) was created from unmanned aerial vehicle (UAV) imagery acquired from a single day survey, July 28th 2016, in Cambridge Bay, Nunavut. Five control points taken from a Global Differential Positioning System were positioned in the corners and the center of the vegetation survey. The DSM covering 525m2 was produced by Canada Centre for Remote Sensing /Canada Centre for Mapping and Earth Observation. The UAV survey was completed in collaboration with the Canadian High Arctic Research Station (CHARS) for northern vegetation monitoring research. For more information, refer to our current Arctic vegetation research: Fraser et al; "UAV photogrammetry for mapping vegetation in the low-Arctic" Arctic Science, 2016, 2(3): 79-102. http://www.nrcresearchpress.com/doi/abs/10.1139/AS-2016-0008

__The link: *Access the data directory* is available in the section*Dataset Description Sheets; Additional Information*__. The Directorate of Forest Inventories (DIF) carries out assessments of tree biomass and their carbon content at the scale of ecoforest stands to deepen knowledge on the contribution of forests in the global carbon cycle. This information can be useful in the context of climate change to document the mitigating role played by forests. The resulting product, a database containing a single table entitled “BIOMASSE_CARBONE_PEE_ORI_PROV”, shows the biomass and carbon values of living trees above ground for all productive ecoforest stands 7 m or more in height. The exploitation of the database requires the data from [the original ecoforest map] (https://www.donneesquebec.ca/recherche/dataset/resultats-d-inventaire-et-carte-ecoforestiere) and the establishment of a connection with the information of the polygonal entity class of settlements. The database includes biomass variables converted to carbon stocks, detailing the biomass of wood, bark, branches, and foliage. For a thorough understanding, you can consult the Read Me associated with this product and the publication [“Biomass and carbon forests in southern Quebec - Method and use”] (https://mrnf.gouv.qc.ca/nos-publications/biomasse-carbone-forestiers-quebec-meridional/) (MRNF, 2023) which offers additional methodological information. **This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The 1 cm resolution vegetation digital height model was extracted using a bare earth model and digital surface model (DSM) derived from unmanned aerial vehicle (UAV) imagery acquired from a single day survey on July 28th 2016, in Cambridge Bay, Nunavut. The mapping product covers 525m2 and was produced by Canada Centre for Remote Sensing /Canada Centre for Mapping and Earth Observation. The UAV survey was completed in collaboration with the Canadian High Arctic Research Station (CHARS) for northern vegetation monitoring research. For more information, refer to our current Arctic vegetation research: Fraser et al; "UAV photogrammetry for mapping vegetation in the low-Arctic" Arctic Science, 2016, 2(3): 79-102. http://www.nrcresearchpress.com/doi/abs/10.1139/AS-2016-0008

Canada is divided into 308 electoral districts. A representative or member of Parliament is elected for each electoral district. Following the release of population counts from each decennial census, the Chief Electoral Officer determines the number of seats in the House of Commons and publishes the information in the Canada Gazette. Electoral boundaries commissions then determine the adjustments to the constituency boundaries. The federal electoral boundaries commissions are independent bodies that make all decisions regarding the proposed and final federal electoral boundaries. Elections Canada provides support services to the boundaries commission in each province. Based on reports from these commissions, the Chief Electoral Officer prepares a representation order that describes the boundaries and specifies the name and the population of each FED. The representation order is in force on the first dissolution of Parliament that occurs at least one year after its proclamation. The 2003 Representation Order (proclaimed on August 25, 2003) was based on 2001 Census population counts, and increased the number of FEDs to 308, up from 301 from the previous 1996 Representation Order. Ontario received three additional seats, while Alberta and British Columbia each gained two seats. The names of FEDs may change at any time through an Act of Parliament.

Produced as part of the St. Lawrence Action Plan, the Atlas of Territories of Conservation Interest in the St. Lawrence Lowlands shows the sites where conservation needs are the most pressing. The conservation targets selected (coarse filter) are forest environments, wetlands, open environments (wastelands, perennial crops) and aquatic environments to which are added elements of the fine filter such as exceptional aquatic environments associated with the St. Lawrence corridor (e.g. spawning grounds), alvars, bird colonies, wildlife elements (e.g. nesting sites of Bank Swallows and Chimney Swift, etc.) and important floristic occurrences. Our objective is to determine the sites of interest until a representative threshold of 20% is reached. The geospatial data associated with sites of interest for conservation, the user guide, the methodological report, the metadata as well as the detailed mapping of land use in the St. Lawrence Lowlands, which was an essential basic data for producing this atlas, are available for download. Users can therefore more accurately consult the spatial distribution of sites of interest and the conservation value associated with each plot of habitat for conservation targets (forest environments, wetlands, wastelands, perennial crops, aquatic environments) using geographic information systems (e.g. ArcGIS). Users can also adapt the analysis of this data to their territorial reality and according to specific objectives specific to their interests. Since the conservation of natural environments and species in precarious situations is a shared responsibility, this Atlas will make it possible to meet the priorities of the many organizations involved in the conservation of natural environments in the St. Lawrence Lowlands.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Map indexes are grids that divide the territory into several sheets for the whole of Quebec. The use of these indexes allows the identification of a map sheet number for a specific territory at the scale of 1/2,000, 1/20,000 and 1/100,000. The cartographic indexes come from the Quebec cartographic reference system (S.Q.R.C), which divides the territory into hierarchical units and at different scales (1/100,000, 1/20,000, 1/10,000, 1/10,000, 1/10,000, 1/10,000, 1/10,000, 1/5,000, 1/5,000, 1/5,000, 1/1,000). This system is compatible with the [**National Cartographic Reference System (S.N.R.C) **] (https://ressources-naturelles.canada.ca/sciences-terre/geographie/information-topographique/cartes/9766).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

SQRC grid (Quebec Cartographic Reference System) at a scale of 1:500 and 1:1000 of Montreal Island. The dxf file contains an underlying layer of streets for better location.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**