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Found 33299 records

Federal

Dominant Species Map 2015

The data represent dominant tree species for British Columbia forests in 2015, are based upon Landsat data and modeling, with results mapped at 30 m spatial resolution. The map was generated with the Random Forests classifier that used predictor variables derived from Landsat time series including surface reflectance, land cover, forest disturbance, and forest structure, and ancillary variables describing the topography and position. Training and validation samples were derived from the Vegetation Resources Inventory (VRI), from a pool of polygons with homogeneous internal conditions and with low discrepancies with the remotely sensed predictions. Local models were applied over 100x100 km tiles that considered training samples from the 5x5 neighbouring tiles to avoid edge effects.

Last Updated: May 18, 2021
Date Published: Jan. 1, 2020
Organization: Natural Resources Canada
Formats: WMS PDF HTML ZIP
Keywords:  Forests
Federal

The map title is Relief. Map scale. 2.8 centimetres = 500 kilometres North arrow pointing to the north. Map projection is Lambert Conformal Conic.

Last Updated: Feb. 22, 2022
Date Published: Apr. 3, 2006
Organization: Natural Resources Canada
Formats: GIF HTML CDR PDF
Keywords:  braille, culture, demographic, society, tactile maps
Federal

The Fisheries and Oceans Canada ecosystem surveys are conducted annually and are a source of integrated ecosystem monitoring data. These survey data are the primary data source for monitoring trends in species distribution, abundance, and biological condition within the region, and also provide data to the Atlantic Zonal Monitoring Program (AZMP) for monitoring hydrographic conditions, along with zooplankton and phytoplankton. The surveys follow a stratified random sampling design, and include sampling using a bottom otter trawl, CTD rosette and vertical plankton tows. Data from the bottom trawl catch are used to monitor the distribution and abundance of fish and invertebrates throughout the Scotian Shelf, Bay of Fundy and Georges Bank.

Last Updated: May 19, 2021
Date Published: Jan. 14, 2021
Organization: Fisheries and Oceans Canada
Formats: HTML
Keywords:  Agricultural Aquatic Sciences, Agriculture, Animals/Vertebrates, Aquatic Sciences, Biological Classification, Biosphere, Earth Science, Ecological Dynamics, Fish
Federal

An archive of 2D regional seismic and long period magnetotelluric data collected during 20 years of work under the LITHOPROBE project. Data are primarily onshore and cover widespread regions of Canada. Available data types include raw digital data, processed sections, and images of final sections, as well as auxiliary information required for analysis of the data.

Last Updated: Feb. 22, 2022
Date Published: Jul. 1, 1991
Organization: Natural Resources Canada
Formats: EDI other
Keywords:  apparent resistivity, conductivity, crustal structure, earth sciences, electromagnetic, geophysics, magnetics, magnetism, magnetotelluric
Federal

This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

Last Updated: Mar. 9, 2022
Date Published: Apr. 8, 2004
Organization: Statistics Canada
Formats: XML
Keywords:  census of population
Federal

Commercial sales of milk and cream, Canada and provinces (in kilolitres). Data are available on a monthly basis.

Last Updated: Jun. 24, 2022
Date Published: Jun. 24, 2022
Organization: Statistics Canada
Formats: XML CSV HTML
Keywords:  agriculture and food, animal production, dairy products, food, food production and availability, food beverage and tobacco, manufacturing, table
Federal

A map showing the locations, extents and names of National Parks and National Marine Conservation Areas in Canada.

Last Updated: Mar. 14, 2022
Date Published: Jan. 1, 2007
Organization: Natural Resources Canada
Formats: PDF other
Keywords:  geographical maps
Federal

Transport expenditures, population and per capita transport expenditures, annual.

Last Updated: Oct. 28, 2021
Date Published: Mar. 26, 2019
Organization: Statistics Canada
Formats: XML CSV HTML
Keywords:  other content related to transportation, table, transportation
Federal

This dataset displays the geographic areas within which critical habitat for terrestrial species at risk listed on Schedule 1 of the federal Species at Risk Act (SARA) occurs in Ontario. Under SARA, is “the habitat that is necessary for the survival or recovery of a listed wildlife species and that is identified as the species’ critical habitat in the recovery strategy or action plan for the species.”

The geographic area within which critical habitat may occur is represented as “grid squares”. These are coarse (1, 10, 50 or 100 km2) squares based on a standardized UTM grid or coarse National Topographic System (NTS) scales (1:50, 1:250) that serve as a flag to review the associated species’ recovery document. However, not all of the area within these grid squares is critical habitat.

Last Updated: May 13, 2022
Date Published: Jan. 19, 2018
Organization: Environment and Climate Change Canada
Formats: WMS HTML KMZ ZIP ESRI REST
Keywords:  Species at Risk (SAR), Critical habitat, Species at Risk Act (SARA), SARA, standardized UTM grid, Canadian Wildlife Service (CWS), Ontario, Nature and Biodiversity - Habitat, Species
Federal

This product contains 23,887 digitally restored 1971 census enumeration area (EA) boundaries for the 33 census metropolitan areas (CMA) defined by the 2011 census. EAs are the smallest geographical unit for the release of 1971 census statistics. These EA boundaries can be aggregated to the census agglomeration (CA) or the CMA level. The restored EA boundaries also include 1971 population and dwelling statistics.

Last Updated: Mar. 22, 2022
Date Published: May 24, 2017
Organization: Statistics Canada
Formats: SHP WMS FGDB/GDB HTML PDF ESRI REST
Keywords:  Geographic data, Urban development, Census data, Boundaries
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