Polyline feature layer of winter trails in Manitoba provincial parks. This feature layer contains polylines showing locations of winter trails in Manitoba provincial parks. Winter trails are those trails designated for certain winter activities, such as cross-country skiing, skijoring, skate-skiing, fat biking, and dog sledding. Most of these trails are groomed by Manitoba Parks staff throughout the season. This layer is used in the interactive map Manitoba Parks - Winter Activity Trails Map and the web app Manitoba Parks - Winter Trails and Recreation Areas. The dataset includes the following fields (Alias (Name): Description) Trail Name (Trail_Name): Name of the trail Park Name (Park_Name): Name of the provincial park where the trail is located Winter Use (Winter_Use): Indicates whether or not the trail is designated for winter use (Note: All features in this layer have a value of 'Yes') For more information about winter activities, visit the Manitoba Parks website.

Polygon feature layer of Manitoba's economic regions This feature layer depicts the boundaries of economic regions in Manitoba. There are eight regions in Manitoba, defined by Statistics Canada. Fields included [Alias (Field Name): Field description] Economic Region (Economic_Region): The name of the economic region For more information, see Regional Economic Profiles on the Manitoba  government  website.FF

Application showing the locations of sites included in the Contaminated Sites Registry This application shows the locations of sites included in the Contaminated Sites Registry. There are three types of sites in the registry: Designated Contaminated, Designated Impacted, and Not Designated.  The data for this map are provided via a web csv file that is maintained by Environment, Climate and Parks staff. For more information visit Environment, Climate and Parks website.

Map showing the locations of sites included in the Contaminated Sites Registry This map shows the locations of sites included in the Contaminated Sites Registry. There are three types of sites in the registry: Designated Contaminated, Designated Impacted, and Not Designated.  The data for this map are provided via a web csv file that is maintained by Environment, Climate and Parks staff. For more information visit Environment, Climate and Parks website.

This is the 5 year investment plan for Manitoba Highway and Infrastructure Capital Projects. This dataset will show all the proposed infrastructure projects for the next 5 years. This Feature layer is similar to the "Manitoba Capital Plans Project Status" and will be updated once a year.This dataset contains points showing the locations of the capital projects such as asphalt surface treatment, grading, bituminous rehabilitation, concrete reconstruction, culvert jacking, intersection improvement, structures improvement, traffic signal improvements, and traffic safety improvements. This dataset was created by digitizing high-resolution imagery of Manitoba road network, bridge sites, and culvert locations. The details of the capital projects are available as attributes of the dataset.Fields included (Alias (Field Name): Field description.)Hwy (Hwy): The highway number where the project is located.  Location Description (Location_Description): A detailed description of the project location. Project Distance in km (km): The physical length of the project Project Type (Project_Type): A particular category assigned to the project based on the nature of work. Investment Category : (Investment_Category): Category of future investment for the project. (Ex: Renewal, Economic Development, Connectivity and Innovation, Climate Resiliency)  Municipality Name (MUNI_NAME): The name of the municipality where the project is located. Department Program (Department_Program): The name of the MI department responsible for the project.This dataset is used in Manitoba Infrastructure Projects an interactive map that shows Manitoba infrastructure's new, approved, and continuing capital project locations.

Map showing locations of distributors participating in the Naloxone Take Home Program in Manitoba. This map shows the locations of distributors participating in the Naloxone Take Home Program in Manitoba. Naloxone is a drug that temporarily reverses overdose (toxicity) caused by opioid drugs (such as fentanyl, heroin, morphine, hydromorphone). Free take-home naloxone kits are available to members of the public who are at risk of opioid overdose (toxicity), and family or friends who may witness opioid toxicity. For more information see Manitoba Health. This map uses the point feature layer Naloxone Distributors Take Home Program and forms part of the Naloxone Finder - Take Home Program application.

Web app showing locations of distributors participating in the Naloxone Take Home Program in Manitoba. This web app shows the locations of distributors participating in the Naloxone Take Home Program in Manitoba. Naloxone is a drug that temporarily reverses overdose (toxicity) caused by opioid drugs (such as fentanyl, heroin, morphine, hydromorphone). Free take-home naloxone kits are available to members of the public who are at risk of opioid overdose (toxicity), and family or friends who may witness opioid toxicity. For more information see Manitoba Health. This app uses the point feature layer Naloxone Distributors Take Home Program and the Naloxone Distributors Map - Take Home Program.

This polygon layer visualizes actual observed precipitation polygons (classed by amounts) from the HRDPA product, offering a clear map-based depiction of recent rainfall or snowfall distribution. Observation periods depicted are past 1 day, past 3 days and past 7 days. This polygon layer is generated by taking HRDPA’s gridded precipitation data (6h, 24h, or multi-day accumulations) and grouping them into precipitation ranges, then polygonizing. Each feature shows how much precipitation truly fell in that zone. This is essential for event verification against forecasts, analyzing localized extremes, and updating water resource or flood models with real observed input.

This feature class represents Manitoba's Forest Management Unit (FMU) boundaries. Forest Management Units (FMU's) define a forested area with common forest conditions that are managed in a similar manner. Forest Sections are comprised of FMU's. Forest inventories within Forest Management Units are analysed to determine allowable harvest limits of softwood and hardwood tree species within each Forest Management Unit. Version 3: The southern portion of FMU 67 within the Highrock Forest Section has been adjusted to align with base features captured in 2009. Additionally, an 11 hectare portion of the Saskatchewan River Forest Section (FMU 59) has been added to the Highrock Forest Section. Version 4: The northern portion of FMU 68 along the Rail Haul within the Highrock Forest Section has been adjust so that the boundary falls within water only. Additionally, version 4 splits the 'White Zone' forest section (FMU 76) by ecozones, creating FMU 76 (Taiga Shield), FMU 77 (Southern Arctic), FMU 78 (Hudson Plain) and FMU 79 (Boreal Shield). Version 4 is dated February 8, 2013. Fields Included: OBJECTID: Sequential unique whole numbers that are automatically generated . MANAGEMENT_UNIT_NUMBER : Management Unit (MU) number . S ECTION : Forest section number . SECTION_NAME : Forest section name .

This feature layer showcases ultra-fine (2.5 km) short-range precipitation forecasts from the High Resolution Deterministic Prediction System (HRDPS), a convection-permitting model by Environment and Climate Change Canada. It identifies local-scale rainfall or snowfall patterns up to 48 hours, supporting urban flood forecasting, severe weather response, and detailed water resource planning. Convection-Permitting: The HRDPS can explicitly resolve thunderstorms and other small-scale weather events by running at ~2.5 km. Short-Range Focus: Typically provides forecasts out to 36–48 hours, updated several times daily. Local Impact: Valuable for pinpointing high-impact precipitation in complex terrain or urban environments, aiding emergency managers and hydrologists in short-lead-time decisions. Nested Model: Receives lateral boundary conditions from RDPS, maintaining consistency with regional forecasts while refining detail in local domains.