AndreaBozzo/ceres-open-data-index huggingface dataset:
Air Pollutant Emissions - Sulphur oxide emissions by facility

The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. The Air pollutant emissions indicators track emissions from human activities of 6 key air pollutants: sulphur oxides (SOX), nitrogen oxides (NOX), volatile organic compounds (VOCs), ammonia (NH3), carbon monoxide (CO) and fine particulate matter (PM2.5). Black carbon, which is a component of PM2.5, produced by combustion, is also reported.  Sectoral indicators on air pollutant emissions from the oil and gas industry, transportation, off-road vehicles and mobile equipment and electric utilities provide additional analysis on the largest sources of Canada's air pollutant emissions.  
  
  For each air pollutant, the indicators are provided at the national and provincial/territorial levels. They also identify the major sources of emissions and provide links to detailed information on air pollutant emissions from facilities. The Air pollutant emissions indicators are intended to inform Canadians and decision makers about progress made towards reducing emissions from human-related sources of air pollutants and about the effectiveness of emission reduction measures in reducing emissions to improve ambient air quality in Canada. Information is provided to Canadians in a number of formats including: static and interactive maps, charts and graphs, HTML and CSV data tables and downloadable reports. See the supplementary documentation for the data sources and details on how the data were collected and how the indicator was calculated.  
  
  Canadian Environmental Sustainability Indicators: https://www.canada.ca/environmental-indicators

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Annual Crop Inventory 2017

In 2017, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) repeated the process of generating annual crop inventory digital maps using satellite imagery to for all of Canada, in support of a national crop inventory.  A Decision Tree (DT) based methodology was applied using optical (Landsat-8, Sentinel-2, Gaofen-1) and radar (RADARSAT-2) based satellite images, and having a final spatial resolution of 30m. In conjunction with satellite acquisitions, ground-truth information was provided by: provincial crop insurance companies in Alberta, Saskatchewan, Manitoba, & Quebec; point observations from the BC Ministry of Agriculture, & the Ontario Ministry of Agriculture, Food and Rural Affairs; and data collection supported by our regional AAFC Research and Development Centres in St. John’s, Kentville, Charlottetown, Fredericton, Guelph, and Summerland

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Big Valley Torquay Zero Edge

These structure, isopach and zero edge files are part of a series of stratigraphic framework maps for the Saskatchewan Phanerozoic Fluids and Petroleum Systems (SPFPS) project.  
  
  The series of stratigraphic framework maps for the Saskatchewan Phanerozoic Fluids and Petroleum Systems (SPFPS) project have been produced using 2 km equi-spaced modified grids generated from Golden Software’s Surfer 9 kriging algorithm. The dataset used to produce each of the maps in this series was created using data from several projects completed by the Ministry (Christopher, 2003; Saskatchewan Industry and Resources et al., 2004; Kreis et al., 2004; Marsh and Heinemann, 2006; Saskatchewan Ministry of Energy and Resources et al., 2007; Heinemann and Marsh, 2009); these data were validated and edited as required to facilitate correlations between the various regional projects. In addition, to minimize edge effects during contouring, the senior author also generated stratigraphic data from wells in adjacent jurisdictions.

Organization: Government of Saskatchewan | Gouvernement de la Saskatchewan
Effective Drainage Area of the AAFC Watersheds Project - 2013

The "Effective Drainage Area of the AAFC Watersheds Project - 2013" dataset is a geospatial data layer containing polygon features representing the areas of the Agriculture and Agri-Food Canada's (AAFC) Watersheds Project that could, for the entire project areas, be expected to contribute to surface runoff under average runoff conditions.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Air quality – Average nitrogen dioxide concentrations at monitoring stations

The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. The Air quality indicators track ambient concentrations of fine particulate matter, ground-level ozone, sulphur dioxide, nitrogen dioxide, and volatile organic compounds at the national, regional and urban levels and at local monitoring stations. The national and regional indicators are presented with their corresponding Canadian Ambient Air Quality Standard when available. Canadians are exposed to air pollutants on a daily basis, and this exposure can cause adverse health and environmental effects. Information is provided to Canadians in a number of formats including: static and interactive maps, charts and graphs, HTML and CSV data tables and downloadable reports. See the supplementary documentation for the data sources and details on how the data were collected and how the indicator was calculated.  
  
  Canadian Environmental Sustainability Indicators: https://www.canada.ca/environmental-indicators

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Survey Boundaries

The documented occurrence data package contains 3 datasets that, in combination, help to provide generalized information about woodland caribou locations and survey areas in Saskatchewan. This information may assist users in their efforts to avoid or mitigate impacts to woodland caribou when operating in woodland caribou range. Generalized locations of caribou use have been provided to better reflect their large home ranges. Absence of a hexagon in an area should not be interpreted as absence of woodland caribou.  
  
  Please read the Data Guide for important information about this product. Download survey boundaries, telemetry occurrence, and sightings/sign. Download the full package, including data guide here. The Woodland Caribou Documented Occurrence public data product is composed of three shapefiles/feature classes: 1. Woodland Caribou Occurrence - Sighting and Sign 2. Woodland Caribou Occurrence - Telemetry 3. Woodland Caribou Survey Boundaries The two occurrence datasets contain a grid of 18 sq km hexagons (tessellation). The inclusion of a hexagon in the dataset indicates that one or more animal sightings or sign, or telemetry points have been documented in that area. Importantly, lack of caribou occurrence (e.g. no hexagon) should not be interpreted as absence of woodland caribou. Rather, data may not have been collected in these areas or incidental or other observations have not been received.   The survey boundaries dataset displays the boundaries of woodland caribou surveys that were completed by or in collaboration with the Ministry of Environment from 2005 to 2024. Boundaries are from multiple sources, and include various types of surveys (fecal pellet collection or telemetry). These boundaries provide context when viewed alongside the woodland caribou occurrence datasets. We expect to see more occurrence locations in areas that have been surveyed. This information may provide context to areas with a seemingly higher number of occurrences.  For a full description of the data, please refer to the Data Guide document available for download on the Saskatchewan GeoHub.

Organization: Government of Saskatchewan | Gouvernement de la Saskatchewan
Canadian National Wetlands Inventory

The Canadian National Wetlands Inventory (CNWI) is a comprehensive, publicly available national geodatabase developed by the Canadian Wildlife Service (CWS) of Environment and Climate Change Canada (ECCC), in collaboration with federal, provincial, and territorial governments, academia, Indigenous groups, and Non-Governmental Organizations (NGOs). It consists of the best available wetland mapping data, along with its metadata, published in a standardized manner.  
  
  The CNWI is continuously updated through the compilation of existing data and the acquisition of new high-resolution datasets to address coverage gaps, with an emphasis on peatlands and coastal wetlands, which are key habitats for greenhouse gas (GHG) sequestration. ECCC plans to use the CNWI to train and validate machine-learning algorithms to delineate and classify wetlands at a national scale and to measure trends over time. This will directly support Canada’s Nature-Based Climate Solutions by informing biodiversity conservation, guiding climate change mitigation and adaptation strategies, and supporting GHG emissions reporting.  
  
  The CNWI was initially released in February 2024 with 13 source datasets. In June 2025, the Inventory was updated to include 14 additional datasets. Collectively, these 27 source datasets comprise approximately 12.1 million wetland polygon features, covering a total area of roughly 640,000 square kilometers across ten provinces and territories (BC, MB, NB, NL, NS, PE, ON, QC, SK, YT). These source datasets were cross-walked into a standardized CNWI classification schema, which is based on two foundational documents: the Canadian Wetland Classification System (National Wetlands Working Group, 1997) and the Canadian Wetland Inventory Data Model (2016).  
  
  The CNWI Schema contains five major wetland classes (Bog, Fen, Swamp, Marsh, and Shallow/Open Water) and eight subclasses (Rich Fen, Poor Fen, Organic Swamp, Mineral Swamp, Organic Marsh, Mineral Marsh, Shallow Water, and Open Water). Non-conforming wetlands can be categorized into three groups: Peatland, Mixed, and Unclassified.   
  
  For more information on the CNWI and the related database, please refer to the CNWI User Manual and other supporting documents that accompany this publication. The User Manual provides detailed information on how data are collected, managed, and distributed to meet CNWI data standards.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Statistically downscaled scenarios of projected total precipitation change

Statistically downscaled multi-model ensembles of projected change (also known as anomalies) in total precipitation are available at a 10km spatial resolution for 1951-2100. Statistically downscaled ensembles are based on output from twenty-four Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models (GCM). Daily precipitation (mm/day) from GCM outputs were downscaled using the Bias Correction/Constructed Analogues with Quantile mapping version 2 (BCCAQv2). A historical gridded precipitation dataset of Canada (ANUSPLIN) was used as the downscaling target.  
  
                 Projected relative change in total precipitation is with respect to the reference period of 1986-2005 and expressed as a percentage (%). Seasonal and annual averages of projected precipitation change to 1986-2005 are provided. Specifically, the 5th, 25th, 50th, 75th and 95th percentiles of the downscaled ensembles of projected precipitation change are available for the historical time period, 1901-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100.  
  
                 Twenty-year average changes in statistically downscaled total precipitation (%) for four time periods (2021-2040; 2041-2060; 2061-2080; 2081-2100), with respect to the reference period of 1986-2005, for RCP2.6, RCP4.5 and RCP8.5 are also available in a range of formats. The median projected change across the ensemble of downscaled CMIP5 climate models is provided.  
  
                 Note: Projections among climate models can vary because of differences in their underlying representation of earth system processes. Thus, the use of a multi-model ensemble approach has been demonstrated in recent scientific literature to likely provide better projected climate change information.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Manitoba Animal Welfare (AW) Program - Trends

This table contains information about the number of cases reported, inspections conducted, and non-compliances to The Animal Care Act from 2016 to present.  
  
  This table contains information about the number of cases reported, inspections conducted, and non-compliances to The Animal Care Act for each year, starting in 2016, to the most recent quarter. These data are populated by the Provincial Animal Welfare Database for the Manitoba Animal Welfare Program and are displayed in the Manitoba Animal Welfare Program – Trends chart. The table will be updated on a quarterly basis. Fields included [Alias (Field Name): Field description] Category (Category): Includes the year, beginning in 2016, to the current year (e.g., 2016, 2017, 2018) # of cases reported (F__of_cases_reported): Includes the total number of cases reported for each year # of inspections conducted (F__of_inspections_conducted): Includes the total number of inspections conducted for each year # of non-compliances found* (F__of _non_compliances_found_): Includes the total number of non-compliances found following an inspection for each year * The number of non-compliances found as a result of an inspection by an Animal Protection Officer (APO) include animals deemed abandoned, issued notice of seizure, custody and distress, Director’s Order issued, surrendered ownership and recommendations for improvements.

Organization: Government of Manitoba | Gouvernement du Manitoba
Shellfish Water Classification Program – Shellfish Harvest Area Classification in New Brunswick

This dataset provides geospatial polygon boundaries for marine bivalve shellfish harvest area classification in New Brunswick, Canada. These data represent the five classification categories of marine bivalve shellfish harvest areas (Approved; Conditionally Approved; Restricted; Conditionally Restricted; and Prohibited) under the Canadian Shellfish Sanitation Program (CSSP). Data are collected by Environment and Climate Change Canada (ECCC) for the purpose of making applicable classification recommendations on the basis of sanitary and water quality survey results. ECCC recommendations are reviewed and adopted by Regional Interdepartmental Shellfish Committees prior to regulatory implementation by Fisheries and Oceans Canada (DFO).   
  
  These geographic data are for illustrative purposes only; they show shellfish harvest area classifications when in Open Status. The classification may be superseded at any time by regulatory orders issued by DFO, which place areas in Closed Status, due to conditions such as sewage overflows or elevated biotoxin levels. For further information about the current status and boundary coordinates for areas under Prohibition Order, please contact your local DFO office.  
  
  This dataset is 'Deprecated'. Please use updated source here.  
  
  https://open.canada.ca/data/en/dataset/7aef69b5-3aaf-4d50-bb86-083031e6dc47

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Facilities Components - Point

This point-layer shows the locations of components that make up facilities (Facilities are stored in another layer).  Examples of facility components are barbeques, picnic tables, benches, or kiosks.  See the Comp domain for a complete list.  NOTE:  Although some of the items in the domain appear to be activities, they are actually physical entities that appear within a facility.  A facility component point would be stored in this layer to show a more precise location of the kayak rental place of business.  
  
  Data is not necessarily complete - updates will occur weekly.

Organization: Parks Canada | Parcs Canada
Manitoba Health Districts

RHA Districts are geographic areas that are used to define populations and catchment areas for the administration and delivery of health services. This file provides RHA district boundaries for cartographic and analytical purposes.  
  
  Within Manitoba there are five Regional Health Authorities (or "RHAs") responsible for the delivery of health service in five specific areas of the province described as "health regions". (In practice, the terms "health region" and "RHA" are used interchangeably to describe these geographic areas.) In consultation with Manitoba Health, Healthy Living and Seniors, and with the Manitoba Centre for Health Policy, each of the RHAs has defined further subdivisions within each RHA . These sub-areas of each RHA generally correspond to areas of clustered population and/or service delivery. They are used to plan service delivery, and are also used to describe and analyze population health and health service use with more specificity than analysis at the RHA level could provide. Due to the size and the total population of Manitoba's RHAs, there are two levels of subdivided RHA geography which are used for analytical and planning purposes. The smallest subdivisions used for this purpose are RHA Districts. RHA Districts within an RHA are also grouped into larger sub-areas with the RHA called RHA Zones, within each RHA District within an RHA included in precisely one of these zone. This shapefile contains the boundaries of Manitoba's RHA districts.

Organization: Government of Manitoba | Gouvernement du Manitoba
Air Pollutant Emission - Nitrogen oxide emissions by facility

The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. The Air pollutant emissions indicators track emissions from human activities of 6 key air pollutants: sulphur oxides (SOX), nitrogen oxides (NOX), volatile organic compounds (VOCs), ammonia (NH3), carbon monoxide (CO) and fine particulate matter (PM2.5). Black carbon, which is a component of PM2.5, produced by combustion, is also reported.  Sectoral indicators on air pollutant emissions from the oil and gas industry, transportation, off-road vehicles and mobile equipment and electric utilities provide additional analysis on the largest sources of Canada's air pollutant emissions.  
  
  For each air pollutant, the indicators are provided at the national and provincial/territorial levels. They also identify the major sources of emissions and provide links to detailed information on air pollutant emissions from facilities. The Air pollutant emissions indicators are intended to inform Canadians and decision makers about progress made towards reducing emissions from human-related sources of air pollutants and about the effectiveness of emission reduction measures in reducing emissions to improve ambient air quality in Canada. Information is provided to Canadians in a number of formats including: static and interactive maps, charts and graphs, HTML and CSV data tables and downloadable reports. See the supplementary documentation for the data sources and details on how the data were collected and how the indicator was calculated.  
  
  Canadian Environmental Sustainability Indicators: https://www.canada.ca/environmental-indicators

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Sport Fish Management Zones

Saskatchewan Sport Fish Management Zones as described in the fisheries regulations.  
  
  Spatial dataset created to represent the provincial sport fishing management zones within Saskatchewan as described in Table 5 of the Fisheries Regulations.  Saskatchewan is divided into three management zones for angling regulations.  Differences in the opening and closing dates for the angling season occur between zones, with certain lakes in each zone having special regulations applied to them.  Consult the Anglers’ Guide for further information on specific dates and/or limits.

Organization: Government of Saskatchewan | Gouvernement de la Saskatchewan
Projected Sea Ice Thickness change based on CMIP5 multi-model ensembles

Seasonal and annual multi-model ensembles of projected change (also known as anomalies) in sea ice thickness, based on an ensemble of twenty-six Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models are available for 1900-2100. Projected change in sea ice thickness is with respect to the reference period of 1986-2005 and expressed as a percentage (%). The 5th, 25th, 50th, 75th and 95th percentiles of the ensemble of sea ice thickness change are available for the historical time period, 1900-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100.  
  
                 Twenty-year average changes in sea ice thickness (%) for four time periods (2021-2040; 2041-2060; 2061-2080; 2081-2100), with respect to the reference period of 1986-2005, for RCP2.6, RCP4.5 and RCP8.5 are also available in a range of formats. The median projected change across the ensemble of CMIP5 climate models is provided.  
  
                 Note: Projections among climate models can vary because of differences in their underlying representation of earth system processes. Thus, the use of a multi-model ensemble approach has been demonstrated in recent scientific literature to likely provide better projected climate change information.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Interpolated Census of Agriculture

The Census of Agriculture is disseminated by Statistics Canada's standard geographic units (boundaries). Since these census units do not reflect or correspond with biophysical landscape units (such as ecological regions, soil landscapes or drainage areas), Agriculture and Agri-Food Canada in collaboration with Statistics Canada's Agriculture Division, have developed a process for interpolating (reallocating or proportioning) Census of Agriculture information from census polygon-based units to biophysical polygon-based units.

Organization: Agriculture and Agri-Food Canada | Agriculture et Agroalimentaire Canada
Building Footprints

To outline the locations of buildings on Parks Canada sites, buildings that Parks Canada manages, and other buildings of interest to Parks Canada.   
  
  Polygon file to map building footprints of buildings on Parks Canada sites. Footprints may be derived by tracing the roof outline (for example from an airphoto) or using more detailed measurements of the ground floor.  
  
  Data is not necessarily complete - updates will occur weekly.

Organization: Parks Canada | Parcs Canada
Places administered by Parks Canada

The purpose of this feature class is to show areas that are National Parks (NPs), National Park Reserves (NPRs) and National Marine Conservation Area (NMCAs).  Parks Canada manages more than 43 NPs.  (See: https://parks.canada.ca/voyage-travel/recherche-tous-parks-all) for a list of PCA administered parks.  
  
  By using this data, it is important to understand and accept that the data is not to be used for defining boundaries. Administrative decisions should be based on legal documents and legal survey plans.  
  
  Canada Lands Surveys:  https://clss.nrcan-rncan.gc.ca/clss/plan/search-recherche

Organization: Parks Canada | Parcs Canada