The Metis Settlement is a dataset comprised of all the polygons that represent Metis Settlements lands in Alberta. Metis Settlements are lands set apart by provincial legislation for the use and benefit of the members of the eight Metis Settlements in Alberta. The legal title of these lands rests with the Metis Settlements General Council, a legislated-body that holds the fee simple interest on all Metis settlement lands, equivalent to full ownership of the land, with certain limited rights reserved for the Crown. The provincial government has primary jurisdiction over these lands and the people living on them.

Data table containing the odonyms of city streets.The names were checked with the Quebec Toponymy Commission.**Collection context** Periodic manual additions and changes.**Collection method** Notifications by city legal departments.**Attributes*** `ID_ODONYME` (`integer`): Odonymous identifier* `ODONYM` (`varchar`): Odonym* `GEN_ODO` (`varchar`): Generic odonym* `LINE_ODO` (`varchar`): Odonymous link* `GEN_COURT` (`varchar`): Short generic* `ODO_COURT` (`varchar`): Short odonym* `ACTIVE` (`integer`): Active* `OFFICIAL_STATUS` (`integer`): Official status* `NOTICES_DESC` (`varchar`): Descriptive notice* `OLD_NAME` (`varchar`): Old name* `DISTRICT` (`varchar`): Distrito* `USER_MODIFICATION` (`varchar`): Modified by* `DATE_CREATION` (`smalldatetime`): Creation date* `DATE_MODIFICATION` (`smalldatetime`): Date of modification* `DATE_OFFICIEL` (`smalldatetime`): Date of officialization* `ODO_COURT_COMPLET` (`varchar`): Full short odonym* `ODO_LONG_COMPLETE` (`varchar`): Full long odonym* `ODO_INDEX_COURT` (`varchar`): Short index odonym* `ODO_INDEX_LONG` (`varchar`): Long index odonymFor more information, consult the metadata on the Isogeo catalog (OpenCatalog link).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Boundaries developed for use when aggregating cases and reporting during the COVID-19 pandemic in Saskatchewan.The province of Saskatchewan has been divided into six distinct areas for use in reporting the infection rates of COVID-19 during the 2020 outbreak of the virus. This dataset is 'Deprecated'. Please use updated source here.

RADARSAT-1, in operation from 1995 to 2013, is Canada's first earth observation satellite. Developed and operated by the Canadian Space Agency (CSA), it has provided essential information to government, scientists and commercial users.Ultimately, the RADARSAT-1 mission generated the largest synthetic-aperture radar (SAR) data archive in the world. In April 2019, 36,000 images were made accessible through the Earth Observation Data Management System (eodms-sgdot.nrcan-rncan.gc.ca).A heatmap of processed images was produced by the CSA and helps visualize the density of images available by mapped sector during the RADARSAT-1 mission.

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 medium-term (2041-2070) under the RCP 8.5 (continued emissions increases).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.

This dataset contains information on fish stockings since 1917 in Manitoba waterbodies with details on date of stocking, amount of fish, size of fish and species of fish.Stocking Data is a point layer representing individual stocking events dating back to 1917. Each record contains information such as waterbody name, fish species, fish size and quantities, as well as the fishing division of the waterbody. Stocking data is updated multiple times per year as the Province of Manitoba Hatchery conducts stocking. The stocking data layer, along with related information, can be found at the Manitoba Lake Information For Anglers app. The project was initiated by Manitoba Wildlife and Fisheries Branch with funding from the Fish and Wildlife Enhancement Fund. Data is provided by Manitoba Wildlife and Fisheries Branch, Swan Valley Sport Fishing and Manitoba Watershed Districts. For additional information visit Manitoba Fisheries. The dataset includes the following fields (Alias (Name): Description) Waterbody ID (WATERBODY_ID): Unique identifier for an individual waterbody. Waterbody Name (WATERBODY_NAME): Name of the waterbody that was stocked. Fishing Division (FISHING_DIVISION): Indicates which fishing division the waterbody is located in and where stocking event took place. Year (YEAR): Year of the stocking event. Date (DATE): Date of the stocking event. Species (SPECIES): Species that was stocked. Size (SIZE): Size of the fish that were stocked. Quantity (QUANTITY): Approximate number of fish stocked. Lat (DD) (LAT_DD): Latitudinal coordinates of the stocking event (if recorded, otherwise the representative centroid of the waterbody) in decimal degrees. Long (DD) (LONG_DD): Longitudinal coordinates of the stocking event (if recorded, otherwise the representative centroid of the waterbody) in decimal degrees. Waterbody Lat (WATERBODY_LAT): Latitudinal coordinates of the representative centroid of the waterbody in decimal degrees. Waterbody Long (WATERBODY_LONG): Longitudinal coordinates of the representative centroid of the waterbody in decimal degrees.