Health Service Delivery Area (HSDA) boundaries; 2022 boundary configuration. The HSDAs are a mutually exclusive and exhaustive classification of the land area in BC. HSDAs are contiguous (land area is geographically adjacent) and fit within a geographical hierarchy structure, e.g., cannot violate higher-level geography boundaries Health Authorities (HA).

The DND Air Weapons Range dataset is comprised of all the polygons that represent the Air Weapons Range established by the Department of National Defence, Government of Canada, within the Province of Alberta. Air Weapons Range is the area used as a practice and firing range with restricted access provisions and which is owned and operated by the Department of National Defence, Government of Canada.

Pipeline centre-lines associated with oil and gas pipeline activity and falling within the area representing the pipeline right of way. This dataset contains line features collected on or after July 11, 2016 for approved pipeline centre-line locations. The dataset is updated nightly.

Temporal analysis of changes for Victoria, British Columbia, based on GeoAI features automatically extracted from satellite images acquired in the 2000s, 2010s and 2020s. Simple geospatial analysis intersecting Statistics Canada's Open Database of Buildings, version 3 (ODB v3) with GeoAI multidate building features enables the detection of buildings observed in the 2000s, 2010s and 2020s. The addition of new buildings is a good indicator of urban development and/or sprawl. Using the same approach, GeoAI multidate roads enable the detection of Statistics Canada's National Roads Network (NRN) segments present in the 2000s, 2010s and 2020s. The development of new roads is also indicator of urban development and/or sprawl. Complementarily, an analysis of changes in the forest coverage from the GeoAI datasets is done between the 2000s and the 2020s. This analysis reflects the gains and losses between both dates.‌GeoAI enables temporal coverage of various areas in Canada, thus providing a useful tool for change detection and trend analysis at high resolution. While the series is still fairly new, and such examples are limited for the time being, NRCan strives to gradually increase its GeoAI data offering for both spatial and temporal coverage.For more information about the GeoAI - GeoBase Series, please visit the following link: https://open.canada.ca/data/en/dataset/74738ff5-5367-5958-9aee-98fffdcd1876

Fisheries and Oceans Canada (DFO) statistical unit areas (also referred to as unit areas) are smaller portions of the Northwest Atlantic Fisheries Organization (NAFO) Subareas, Divisions, and Subdivisions defined in the Convention on Cooperation in the Northwest Atlantic Fisheries (2020). The spatial representation of boundaries defined by NAFO has recently been updated to address inconsistencies and errors in earlier versions, which is available here: https://open.canada.ca/data/dataset/59af1c96-fc8f-4fa0-b398-d65e953eadaa#comment-41855. Unit areas are used by DFO for a variety of purposes including, but not limited to stock assessments, privacy screening of fisheries maps, and statistical analyses.Unit areas were originally defined throughout the 1940s and 1950s. Subsequently, several revisions and alternate versions were created by DFO in various regions leading to inconsistencies in spatial extent and naming conventions. These changes have not been formally documented. The datasets often have topological errors such as gaps and overlaps, especially along diagonals and coastlines. In addition, inconsistencies have arisen from conflicting interpretations of the NAFO divisions, where not all land points are defined by coordinates. Therefore, DFO, with input from the Canadian Hydrographic Service (CHS), has created an updated version of the DFO unit areas file to address inconsistencies and errors among previous versions. The recently updated NAFO divisions were used as the basis for an updated DFO unit areas file.This version of the DFO unit areas must not be used for legal purposes. Legal descriptions of fishing area boundaries can be found in the Atlantic Fisheries Regulations, Maritime Provinces Fishery Regulations, and DFO License Conditions.

This data set contains Manitoba market cattle prices and volumes sold at local auction marts.Description of Cattle Prices -source

This map data displays environmentally impacted sites in Saskatchewan with location, confirmed substance and current status.The Ministry of Environment is responsible for regulating environmentally impacted sites in Saskatchewan to protect the environment and the public.  An environmentally impacted site is an area of land or water that contains a substance that may cause or is causing an adverse effect.An adverse effect is an impairment of or damage to the environment or harm to human health caused by any chemical, physical or biological alterations or any combination of them.Please note: information may take up to 30 days to be updated and is subject to change at any time.For further information, please contact the Ministry of Environment Inquiry Centre (Toll Free): 800-567-4224, centre.inquiry@gov.sk.ca or visit the environmentally impacted sites page on Saskatchewan.ca. Terms and definitionsObject ID: An internal GeoHub record ID number. This number can be ignored.  Case ID: The Case ID is the ministry’s file number – a unique identifier. It is NOT the date the site became impacted.  Status – The stages of management for an environmentally impacted site.   Notification: The ministry has received notification that pollutants have been discovered at the site.  The concentration of this pollutant exceeds the threshold outlined in the Saskatchewan Environmental Code and must be reported. The pollutants may cause an adverse effect to the environment or human health. The ministry has been made aware of this and has determined that the site is an environmentally impacted site. Assessment: The site is currently undergoing, or has recently completed, analysis to determine the cause, nature or extent of potential or existing adverse effect (e.g. a Phase 2 Environmental Site Assessment). Corrective Action Plan: The site is currently undergoing, or has recently completed, activity that aims to prevent, minimize, mitigate, remedy or reclaim adverse effects (e.g. removal of impacts by excavation). Closure: This is a historical status term for environmentally impacted sites that is no longer used. The Notice of Site Condition status replaces the former status of Closure. It indicates that corrective actions have been completed at the site, endpoints have been achieved and an updated environmental status of the site has been provided to the ministry. However, no application has been made for a Notice of Site Condition certificate.  Notice of Site Condition: The ministry is satisfied that an acceptable risk level exists for the area of the site addressed in the corrective action plan. Confirmed substance: The substances of concern at the site. Examples that may cause an adverse effect are petroleum hydrocarbons, toxic metals, air pollutants, acids and solvents.

This dataset represents abundance data of commercial size Sea Scallop (Placopecten magellanicus; ≥ 80 mm shell height) from 2011-2023 from the Bay of Fundy Inshore Scallop Survey. Data is binned into 5-mm shell height bins, is prorated to an 800 m tow length and 17.5 feet (5.334 m) drag width (i.e., representing an area swept of 4267 m2), and was collected using unlined dredge gear. Each row represents a tow and contains information such as tow date, cruise name, gear type, geographical coordinates (decimal degrees, WGS 84) and the Scallop Production Area in which the tow took place. Survey protocols are documented in Glass (2017). This dataset contains tow data from a comparative survey conducted in 2012 (Smith et al., 2013). Further, these data correspond to the publication of Hebert et al. (2025).ReferencesGlass, A. 2017. Maritimes Region Inshore Scallop Assessment Survey: Detailed Technical Description. Can. Tech. Rep. Fish. Aquat. Sci. 3231: v + 32 p.Hebert, N, Sameoto, J.A., Keith, D.M., Murphy, O.A., Brown, C.J., Flemming, J. 2025. Interannual variability in the length–weight relationship can disrupt the abundance–biomass correlation of sea scallop (Placopecten magellanicus). ICES. J. Mar. Sci. Smith, S.J., Glass, A., Sameoto. J., Hubley, B., Reeves, A., and Nasmith, L. 2013. Comparative survey between Digby and Miracle drag gear for scallop surveys in the Bay of Fundy. DFO Can. Sci. Advis. Sec. Res. Doc. 2012/161. iv + 20 p.Cite this data as: Sameoto, J.A. Data of: Bay of Fundy Sea Scallop Commercial Size Abundance Data. Published: December 2025. Population Ecology Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/ecc09d98-56ed-4a27-ad62-5c3714a1d9b4

## Purpose The Ministry of Agriculture, Food and Agribusiness (OMAFA) is responsible for Ontario’s provincial soil maps and maintains and update them as necessary. Digital Soil Mapping (DSM) is a modern methodology using spatially explicit soils and environmental data to predict soil variation throughout a landscape at a high, consistent resolution. Digital soil maps are being rolled out throughout Ontario’s agricultural land base to update provincial soil maps. ## Reach Provincial soil maps are used in many decision-making processes including: * land use planning * land evaluation * farming practices * best management practices * ecological monitoring * land resource mapping Potential users of this data include: * farmers * certified crop advisors * conservation authorities * academic researchers * land use planners ## Potential impacts Digital soil maps provide more accurate and precise soils data and enables improved management of soil resources across multiple stakeholders. This allows for better decision making to maximize land use efficiency, improve economic efficiency of soil resources and promote soil health and soil conservation. ## Technical description Digital soil mapping combines geo-referenced soil observations with geo-referenced environmental layers to mathematically model soil variation as a function of environment variation. These models are based on well established, but often complex relationships, between soil properties and topography, biology, geology and hydrology.

This polygon layer reflects short-range (up to 84 hours) accumulated precipitation forecasts from the Regional Deterministic Prediction System (RDPS), a high-resolution (~10 km) weather model developed by Environment and Climate Change Canada (ECCC). It supports flood forecasting, hydrological modeling, and operational planning by providing refined, near-real-time precipitation guidance for Canada and surrounding areas.Short-Range Forecasts: RDPS runs multiple times per day, offering precipitation outlooks for days 0–3.5 with updates every six hours. High Resolution: At ~10 km, RDPS captures critical mesoscale phenomena like localized downpours, lake-effect snow, and terrain-driven precipitation. Hydrological Utility: Especially valuable for sub-basin-level flood risk assessment and water resource management in near-term scenarios. Technical Basis: The RDPS is a limited-area configuration of the GEM model, using initial/boundary conditions from ECCC’s Global Deterministic Prediction System (GDPS).