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.

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 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.

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.

Current weather induced overland flood alerts The Hydrologic Forecast Centre (HFC) issues several categories of flood alert throughout the year including riverine flooding due to snowmelt and rainfall, wind and wave induced shoreline flooding and ice pileup, and rainfall induced overland flooding. This layer demonstrates the location and/or extend of current alerts due to rainfall induced overland flooding. The types are defined below:Overland Flood Warning: A severe weather warning that is issued to alert the public that overland flooding is imminent or occurring in the warned area. Overland flooding is a quick onset of flood conditions, usually occurring after heavy rain that may not be linked to a specific waterway or lake. Rainfall intensity and duration, topography, soil conditions and ground cover are factors impacting overland flooding. Overland flooding can also occur because of a sudden release of water held by an ice jam.Overland Flood Watch: A severe weather watch that is issued when conditions are favourable for overland flooding. Normally issued when significant rainfall is expected in locations with saturated soil.

A revised qualitative assessment of the hydrocarbon resource potential is presented for the Hudson Bay sedimentary basin that underlies Hudson Bay and adjacent onshore areas of Ontario, Manitoba, and Nunavut. The Hudson Basin is a large intracratonic sedimentary basin thatpreserves dominantly Ordovician to Devonian aged limestone and evaporite strata. Maximum preserved sediment thickness is about 2.5 km. Source rock is the petroleum system element that has the lowest chance of success; the potential source rock is thin, may be discontinuous, and the thin sedimentarycover may not have been sufficient to achieve the temperatures required to generate and expel oil from a source rock over much of the basin. The highest potential is in the center of the basin, where the hydrocarbon potential is considered amp;lt;'Mediumamp;gt;'. Hydrocarbon potential decreasestowards the edges of the basin due to fewer plays being present, and thinner strata reduce the chance of oil generation and expulsion. Quantitative hydrocarbon assessment considers seven plays. Input parameters for field size and field density (per unit area) are based on analog Michigan, Williston,and Illinois intracratonic sedimentary basins that are about the same age and that had similar depositional settings to Hudson Basin. Basin-wide play and local prospect chances of success were assigned based on local geological conditions in Hudson Bay. Each of the seven plays were analyzed in Roseand Associates PlayRA software, which performs a Monte Carlo simulation using the local chance of success matrix and field size and prospect numbers estimated from analog basins. Hudson sedimentary basin has a mean estimate of 67.3 million recoverable barrels of oil equivalent and a 10% chance ofhaving 202.2 or more million barrels of recoverable oil equivalent. The mean chance for the largest expected pool is about 15 million recoverable barrels of oil equivalent (MMBOE), and there is only a 10% chance of there being a field larger than 23.2 MMBOE recoverable. The small expected fieldsizes are based on the large analog data set from Michigan, Williston and Illinois basins, and are due to the geological conditions that create the traps. The small size of the largest expected field, the low chance of exploration success, and the small overall resource make it unlikely that there are any economically recoverable hydrocarbons in the Hudson Basin in the foreseeable future. The Southampton Island area of interest includes 93 087 km2 of nearshore waters around Southampton Island and Chesterfield Inlet in the Kivalliq Region of Nunavut. Of the total resource estimated for Hudson Bay, 14 million barrels are apportioned to the Southampton Island Area of Interest.

This WebMap comprises of three layers , namely, HRDPA Observed Accumulated Precipitation - Past 1 day, 3 days and 7 days (feature layer) ; HRDPA SubBasin Precipitation Distribution - Past 1 day, 3 day, and 7 days (feature layer) and Supporting Layers (group layer) - Comprising of Main Cities, Nelson River Basin and Basin Boundaries (feature layers). HRDPA is ECCC’s high-resolution precipitation analysis, merging gauge, radar, and HRDPS model data. CaPA-HRDPA produces four analyses of 6 hour amounts per day, valid at synoptic hours (00, 06, 12 and 18 UTC) and two 24 hour analysis valid at 06 and 12 UTC. A preliminary production is started 1 hour after valid time and a final one is launched 7 hours later. This translates into a production of 12 analyses per day.

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 polygon 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.