This polygon layer shows the spatial distribution of forecasted accumulated precipitation across watershed sub‑basins using data derived from the Regional Ensemble Prediction System (REPS). In other words, it aggregates precipitation amounts—computed from processed REPS forecast output (converted from GRIB2 files into raster [TIF] format)—over defined watershed boundaries to provide a detailed view of expected rainfall over a typical 72‑hour forecast period. This information supports regional hydrological forecasting, flood risk analysis, and water resource management.REPS forecast data are first processed to extract the accumulated precipitation field (APCP) and converted into high‑resolution raster images. These “REPS APCP rasters” represent the spatial distribution of forecast precipitation (in millimeters) over the region. Next, using pre‑defined watershed or sub‑basin boundaries, zonal statistics are applied to compute the average precipitation for each sub‑basin. The final layer displays these averaged values as polygon features, highlighting variations in forecasted rainfall across different drainage areas. This approach helps users pinpoint regions that may receive higher or lower rainfall, thereby enhancing hydrological assessments and emergency planning.

This polygon layer represents accumulated precipitation forecasts from the Regional Ensemble Prediction System (REPS), a regional probabilistic model. It delivers ensemble‑based, short‑range precipitation forecasts—typically a 72‑hour accumulation—that aid in assessing the risk and spatial distribution of rainfall events, supporting hydrological analysis, flood forecasting, and water resource management.This polygon layer is produced by processing REPS GRIB2 files. The workflow involves extracting the precipitation field, converting it to a TIF raster, and then applying resampling, smoothing, and classification to create polygon features. These features represent forecasted rainfall totals over a 72‑hour period and are updated with each model run to maintain current predictive information. Source: Environment & Climate Change Canada

The Regional Ensemble Prediction System (REPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members that are perturbed through their initial and boundary conditions as well as physical tendencies. A control member that is not perturbed is also available. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at a horizontal resolution of 10 km. Data is available on ten vertical levels. Predictions are performed four times a day.

In the hydrogeological unit, quantity of water that replenishes groundwater beneath the water table, expressed in mm/yr. Recharge is usually calculated using hydrology balance, integrating information from precipitation, hydrology data, drainage, soil properties, evapotranspiration, etc. The result is a raster dataset in which each cell has a given value for the recharge of the aquifer. It can be calculate using HELP software, developed by the US EPA. The methods used to create the dataset are described in the metadata associated with the dataset. The dataset represent a raster in which each cell has a mean value describing the global annual recharge of the hydrogeological unit.

This 1:20,000. scale inventory contains digital maps of cancelled community watershed boundaries. The watershed boundaries showed the location of watersheds that supply communities with domestic water. These are meant to be used in conjunction with stream network map coverages from TRIM mapping. Attribute data for community watersheds can be downloaded into a spreadsheet or database

Forest 95th Percentile Elevation(Ht) 201595th percentile of first returns height (m). Products relating the structure of Canada's forested ecosystems have been generated and made openly accessible. It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). The shared products are based upon peer-reviewed science and relate aspects of forest structure including: (i) metrics calculated directly from the lidar point cloud with heights normalized to heights above the ground surface (e.g., canopy cover, height), and (ii) modelled inventory attributes, derived using an area-based approach generated by using co-located ground plot and ALS data (e.g., volume, biomass). Forest structure estimates were generated by combining information from lidar plots (Wulder et al. 2012) with Landsat pixel-based composites (White et al. 2014; Hermosilla et al. 2016) using a nearest neighbour imputation approach with a Random Forests-based distance metric. These products were generated for strategic-level forest monitoring information needs and are not intended to support operational-level forest management. All products have a spatial resolution of 30 m. For a detailed description of the data, methods applied, and accuracy assessment results see Matasci et al. (2018). When using this data, please cite as follows: Matasci, G., Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., Bolton, D.K., Tompalski, P., Bater, C.W., 2018b. Three decades of forest structural dynamics over Canada's forested ecosystems using Landsat time-series and lidar plots. Remote Sensing of Environment 216, 697-714. Matasci et al. 2018)Geographic extent: Canada's forested ecosystems (~ 650 Mha)Time period: 1985–2011

Source data for an on-line interactive map of Manitoba showing the locations of recycling depots.The Sustainable and Green Initiatives branch collect location and information data (name of the facility, address, hours of operation and phone number) from 12 producer responsibility organizations (PRO) on an annual basis.This is a point layer symbolized by the items accepted at that location.Fields Included: loc_ID Location identification number name Name of depot phone Phone number (if available) hours Hours and other details (if available) location_name Generic name of location (if available) box_unit P.O. Box number of Unit number (if available) address Street number and Street name City nearest City Province Province Postal Code Postal Code Country Country Latitude Latitude in Decimal Degrees Longitude Longitude in Decimal Degrees is_active Indicates if the location is actively accepting items website Website URL address (if available) created_date Date entry was created modified_date Date entry was modified by the branch cell_phones Indicates if this item is accepted, if blank it is not accepted at this location paint Indicates if this item is accepted, if blank it is not accepted at this location tires Indicates if this item is accepted, if blank it is not accepted at this location electronics Indicates if this item is accepted, if blank it is not accepted at this location plastic_bags Indicates if this item is accepted, if blank it is not accepted at this location oil_and_antifreeze Indicates if this item is accepted, if blank it is not accepted at this location Pharmaceuticals Indicates if this item is accepted, if blank it is not accepted at this location Rechargable_Batteries Indicates if this item is accepted, if blank it is not accepted at this location Fluorescent_Lights Indicates if this item is accepted, if blank it is not accepted at this location Mercury_containing_thermometers Indicates if this item is accepted, if blank it is not accepted at this location Blue_box_materials Indicates if this item is accepted, if blank it is not accepted at this location Lead_acid_batteries Indicates if this item is accepted, if blank it is not accepted at this location Pesticide_containers Indicates if this item is accepted, if blank it is not accepted at this location Scrap_metal Indicates if this item is accepted, if blank it is not accepted at this location textiles Indicates if this item is accepted, if blank it is not accepted at this location mattresses Indicates if this item is accepted, if blank it is not accepted at this location refrigeration_cooling Indicates if this item is accepted, if blank it is not accepted at this location

Annual disclosure (2021) of Manitoba employees across the broader public sector who received compensation of $75,000 or more.Information on all public sector employees who were paid $75,000 or more in the year beginning in 2021 and are subject to the Public Sector Salary Disclosure Act.  The Manitoba government discloses annually the compensation paid in the fiscal year or in the calendar year to a person who is a member of the civil service or who holds a specified public office if their annual compensation is equivalent to or exceeds the minimum legislated threshold for disclosure. This table lists those individuals defined above, along with related information described in the ‘fields’ below. This table is presented in the Manitoba Public Sector Compensation Disclosure application, which is a user-friendly interactive tool that adds functionality such as filtering, search, and data export. Fields included (Alias (Field name): Field description.)  Sector (Sector): A standard set of sectors that will allow for searching and categorizing similar organizations. First Name (First_Name): First name or first initial based on the past practice of the organization Last Name (Last_Name): Last name or badge number based on the past practice of your organization Total Compensation (Total_Compensation):  Total compensation that includes employment contract, total value of all cash and non-cash salary or payments, allowances, bonuses, commissions and perquisites. Job Title (Job_Title):  Job title, position name or position category, based on the past practice of the organization. Employer (Employer): This field will contain the name of the employer. Department/Region (Department_Region): This is an optional field for organizations that currently report department Reporting Year (Reporting_Year): The fiscal year or calendar year in which the reporting period ended. (e.g. a fiscal year ending March 2021 and a calendar year ending December 2021 will both be listed as 2021) Reporting Schedule (Reporting_Schedule): This field will indicate which of the two reporting calendars the information reflects, based on the past practice of the organization. For more information on proactive disclosure by the Manitoba government, please visit the following site: https://www.gov.mb.ca/openmb/infomb/index.html  Have thoughts on how this tool could be improved? Visit EngageMB.ca/OpenMB

This data set contains a small sub-set of the WHSE_FOREST_TENURE.FTEN_RECREATION_POLY_SVW layer, in point form, with minimal attribution for the purpose of displaying a select set of high value recreation sites. For access to complete listing of Forest Recreation sites please use [Recreation Polygons WHSE_FOREST_TENURE.FTEN_RECREATION_POLY_SVW](http://catalogue.data.gov.bc.ca/dataset/263338a7-93ee-49c1-83e8-13f0bde70833)

Sectors and days for collecting waste, recyclable materials and compostable materials.attributs:ID - Unique identifierDAY1 - Sector collection day (see also DAY2 and DAY3) DAY2 - Sector collection day (see also DAY1 and DAY3) DAY3 - Sector collection day (see also DAY1 and DAY3) DAY3 - Sector collection day (see also DAY1 and DAY2) CALENDAR - Hyperlink to the sector collection calendar (see also DAY1 and DAY3)**This third party metadata element was translated using an automated translation tool (Amazon Translate).**