Feature point layer showing COVID-19 rapid antigen test kit distribution sites in Manitoba.Feature point layer showing locations of distribution sites that currently have COVID-19 rapid antigen test kits available in Manitoba. The main purpose of this data is to provide the public with the hours of operation for these sites. Distributors include pharmacies, retail stores, and community libraries. This data is populated by Manitoba Shared Health and is updated as needed. This feature layer is used in the Manitoba COVID-19 Rapid Antigen Test Kit Availability Map and Manitoba COVID-19 Rapid Antigen Test Kit Availability application. For more information on Manitoba’s response to COVID-19, please visit the following site: https://www.gov.mb.ca/covid19/index.html Fields included [Alias (Field Name): Field description] Site Category (Site_Category): Indicates whether the site is a retail business, pharmacy, or community library Site Name (Site_Name): Official business name of the site  Address (Address): Street address of the site  City or Town (City_or_Town): City or town in which the site is located Postal Code (Postal_Code): Postal code that corresponds with the street address of the site  Phone (Phone): Telephone number for the site French Service (French_Service): Indicates whether a site self-identified as having services available in French; if unknown, value is null   Health Authority (Health_Authority): Name of the regional health authority where the site is located Hours of Operation (Hours_of_Operation): Listing of days and times that the site is open to the public Alt Hours Start (Alt_Hours_Start): Start date of when alternate hours are in effect Alt Hours End (Alt_Hours_End): End date of when alternate hours are in effect Alternate Hours of Operation (Alternate_Hours_of_Operation): Listing of alternate days and times that the site is open to the public Latitude (Latitude): Latitudinal coordinate of the site Longitude (Longitude): Longitudinal coordinate of the site

The Annual Minimum Snow and Ice (MSI) Extent of the Atlas of Canada National Scale Data, are data sets compiled containing annual data from 2000 to present. The data sets were derived from research published by the Canada Centre for Remote Sensing which classified satellite imagery over Canada and neighbouring regions for the continued presence or absence of snow and ice from April 1 to September 20 each year. The Atlas of Canada MSI products consist of a vector dataset and a raster time-series animation application.VECTOR DATASETThe vector dataset has been generalized to display at the scale of 1:1,000,000.TIME-SERIES ANIMATION APPLICATIONThe time-series animation application has not been generalized from its original scale (250 m pixels).The application is disseminated through the Data Cube Platform, implemented by the Canada Centre for Mapping and Earth Observation, Natural Resources Canada using geospatial big data management techniques. These technologies enable the rapid and efficient visualization of high-resolution geospatial data and allow for the rapid generation of dynamically derived products. The time-series is also available as a Web Map Service (WMS) and Web Coverage Service (WCS).CREDITSource data provided by Alexander P. Trishchenko, Canada Centre for Remote Sensing, Natural Resources Canada Metadata record: https://open.canada.ca/data/en/dataset/808b84a1-6356-4103-a8e9-db46d5c20fcf

This map displays the distribution of organic soils in the agricultural region of Alberta. Organic soils consist of layers of material with greater than 30 percent organic matter and a total thickness of greater than 40 cm. Organic soils are generally saturated with water for most of the year unless drained. Saturation inhibits decomposition and encourages continued accumulation of organic material. Drainage of these soils can result in a rapid increase in decomposition and a reduction in the thickness of the organic material. This resource was created in 2002 using ArcGIS.

A feature is a representation of a real world object, such as a lake, stream, dam or rapid. There are three hydrographic feature classes:  points, lines and polys.   All may impede or be hazardous to waterflow and/or navigation on a watercourse or waterbody. This data shows natural and manmade poly features.  Examples include: * break walls * dams * rapids * shipwrecks [Technical Bulletin: Data migrated to new Ontario Hydro Network (OHN) - Hydrographic Feature Data Classes (PDF)](http://geo2.scholarsportal.info/proxy.html?http:__maps.scholarsportal.info/files/PDFS/public/OGDE/OHN/TB-OHN-PostMigration_101112.pdf)

A feature is a representation of a real world object, such as a lake, stream, dam or rapid. There are three hydrographic feature classes:  points, lines and polys. All may impede or be hazardous to waterflow and/or navigation on a watercourse or waterbody. This data shows natural and manmade point features. Examples include: * waterfalls * rapids * rocks * Sea Lamprey barriers * shipwrecks This product requires the use of geographic information system (GIS) software. [Technical Bulletin: Data migrated to new Ontario Hydro Network (OHN) - Hydrographic Feature Data Classes (PDF)](https://geohub.lio.gov.on.ca/datasets/mnrf::ontario-hydro-network-ohn-hydrographic-point/)

GeoAI are buildings, hydrography, forests, and roads automatically extracted using Deep Learning models applied to a source dataset, typically aerial or satellite images. The primary aim of GeoAI is to increase Canada's availability of high-resolution foundational geospatial data for both spatial and temporal coverage.‌The infrastructure and expertise put in place by NRCan enables a rapid, efficient, and scalable data creation process through the use of leading-edge technology and Artificial Intelligence models. Published datasets for a given source can be revisited at a later date as more accurate models are developed and put into production. For now, only static files are available, but as the series develops, new products and services will be added.

The fire regime describes the patterns of fire seasonality, frequency, size, spatial continuity, intensity, type (e.g., crown or surface fire) and severity in a particular area or ecosystem.Annual area burned is the average surface area burned annually in Canada by large fires (greater than 200 hectares (ha)). Changes in annual area burned were estimated using Homogeneous Fire Regime (HFR) zones. These zones represent areas where the fire regime is similar over a broad spatial scale (Boulanger et al. 2014). Such zonation is useful in identifying areas with unusual fire regimes that would have been overlooked if fires had been aggregated according to administrative and/or ecological classifications.Fire data comes from the Canadian National Fire Database covering 1959–1999 (for HFR zones building) and 1959-1995 (for model building). Multivariate Adaptive Regression Splines (MARS) modeling was used to relate monthly fire regime attributes with monthly climatic/fire-weather in each HFR zone. Future climatic data were simulated using the Canadian Earth System Model version 2 (CanESM2) and downscaled at a 10 Km resolution using ANUSPLIN for two different Representative Concentration Pathways (RCP). RCPs are different greenhouse gas concentration trajectories adopted by the Intergovernmental Panel on Climate Change (IPCC) for its fifth Assessment Report. RCP 2.6 (referred to as rapid emissions reductions) assumes that greenhouse gas concentrations peak between 2010-2020, with emissions declining thereafter. In the RCP 8.5 scenario (referred to as continued emissions increases) greenhouse gas concentrations continue to rise throughout the 21st century.Provided layer: projected annual area burned by large fires (>200 ha) across Canada for the long-term (2071-2100) under the RCP 2.6 (rapid emissions reductions).Reference: Boulanger, Y., Gauthier, S., et al. 2014. A refinement of models projecting future Canadian fire regimes using homogeneous fire regime zones. Canadian Journal of Forest Research 44, 365–376.

The fire regime describes the patterns of fire seasonality, frequency, size, spatial continuity, intensity, type (e.g., crown or surface fire) and severity in a particular area or ecosystem.The number of large fires refers to the annual number of fires greater than 200 hectares (ha) that occur per units of 100,000 ha. It was calculated per Homogeneous Fire Regime (HFR) zones. These HFR zones represent areas where the fire regime is similar over a broad spatial scale (Boulanger et al. 2014). Such zonation is useful in identifying areas with unusual fire regimes that would have been overlooked if fires had been aggregated according to administrative and/or ecological classifications.Fire data comes from the Canadian National Fire Database covering 1959–1999 (for HFR zones building) and 1959-1995 (for model building). Multivariate Adaptive Regression Splines (MARS) modeling was used to relate monthly fire regime attributes with monthly climatic/fire-weather in each HFR zone. Future climatic data were simulated using the Canadian Earth System Model version 2 (CanESM2) and downscaled at a 10 Km resolution using ANUSPLIN for two different Representative Concentration Pathways (RCP). RCPs are different greenhouse gas concentration trajectories adopted by the Intergovernmental Panel on Climate Change (IPCC) for its fifth Assessment Report. RCP 2.6 (referred to as rapid emissions reductions) assumes that greenhouse gas concentrations peak between 2010-2020, with emissions declining thereafter. In the RCP 8.5 scenario (referred to as continued emissions increases) greenhouse gas concentrations continue to rise throughout the 21st century.Provided layer: projected number of large fires (>200 ha) across Canada for the long-term (2071-2100) under the RCP 2.6 (rapid emissions reductions).Reference: Boulanger, Y., Gauthier, S., et al. 2014. A refinement of models projecting future Canadian fire regimes using homogeneous fire regime zones. Canadian Journal of Forest Research 44, 365–376.

A feature is a representation of a real world object, such as a lake, stream, dam or rapid. There are three hydrographic feature classes:  points, lines and polys.   All may impede or be hazardous to waterflow and/or navigation on a watercourse or waterbody. This data shows natural and manmade line features. Examples include: * break walls * dams * waterfalls * lock-gates * rapids * rocks * Sea Lamprey barriers * shipwrecks This product requires the use of geographic information system (GIS) software. [Technical Bulletin: Data migrated to new Ontario Hydro Network (OHN) - Hydrographic Feature Data Classes (PDF)](http://geo2.scholarsportal.info/proxy.html?http:__maps.scholarsportal.info/files/PDFS/public/OGDE/OHN/TB-HydrographicFeatureClasses_Implementation_100908.pdf)

Registered vaccine distribution locations for the Flu and COVID-19 season that will appear on the Vaccine Provider App.