This dataset is produced and published annually by Natural Resources Canada. It contains a variety of statistics on Canada’s mineral production, and provides the geographic locations of significant metallic, nonmetallic and coal mines, oil sands mines, selected metallurgical works and gas fields for the provinces and territories of Canada.Related product:- **[Top 100 Exploration Projects](https://open.canada.ca/data/en/dataset/b64179f3-ea0f-4abb-9cc5-85432fc958a0)**

MNR regions were created to help manage ministry programs and resources at a regional level. Extents of the regions were originally compiled by description of: metes and bounds, topographic features, geographic township boundaries, territorial district boundaries, etc. MNR regions consist of a number of districts. This product requires the use of GIS software. *[MNR]: Ministry of Natural Resources *[GIS]: Geographic Information System

Businesses licensed to extend credit or provide financing in Nova Scotia

This dataset contains primary processing facilities (e.g., smelters and refineries), mines and advanced projects related to Canada’s 34 critical minerals. Advanced projects are those with mineral reserves or resources (measured or indicated), the potential viability of which is supported by a preliminary economic assessment or a prefeasibility/feasibility study. These sites process, produce or consider producing at least one of Canada's critical minerals, but other minerals and metals may also be present.This dataset contains links that direct to non-Government of Canada websites that are not subject to the Privacy Act, the Official Languages Act or the Standard on Web Accessibility. Please see our terms and conditions for more information (https://www.nrcan.gc.ca/terms-and-conditions/10847).Primary processing facilities and mines data are sourced from Map 900A, Principal mineral areas, producing mines, and oil and gas fields in Canada. Data on advanced critical minerals projects are produced and published annually by Natural Resources Canada, in collaboration with provinces and territories. Data are compiled from a variety of public sources. Natural Resources Canada does not assume responsibility for errors or omissions. Please report any recommended revisions.

The flood magnitude statistics can be used for applications such as flood plain delineation and design of hydraulic structures. The drought severity statistics can be used for applications such as water abstraction and effluent dilution.

Natural cover includes areas that have been mapped as woodlands (including plantations and hedgerows), wetlands and other rare vegetative cover communities. Data here represent areas outlined in the Lake Simcoe Protection Plan Policy 6.48 (June 2011). This product requires the use of GIS software. *[GIS]: geographic information system

“Biomass Inventory Mapping and Analysis – Business Data” provides a number of datasets related to the yield and production of residues from the agricultural and forestry industry, agricultural crops, and municipal solid wastes across Canada. The datasets contain agricultural residue production information (i.e., straw or stover) for barley, wheat, flax, oats and corn, and crop production information for barley, wheat, flax, oats, corn, canola and soybean. They also include information about amounts of straw required for cattle bedding and feeding, the type of tillage used in an area, and the amount of residue needed for soil conservation purposes. Datasets in the series provide the yield, production and other information for the median year and 1-in-10 year and 1-in-20 year lows. The forestry inventory dataset provides information about the location and quantity of residues from the forestry industry, as well as urban wood waste and potential sites and productivity of plantations of fast-growing trees that are grown as feedstock. Forestry residues include material left at the roadside after harvesting and excess and waste materials from mills. The municipal solid waste inventory dataset provides information about the approximate location and quantity of different types of municipal solid wastes, such as organics (including food and yard), paper and total. A transportation network dataset and datasets that are used to calculate cost to harvest and transport biomass are also included in this series.

In 2021, 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), and radar (RCM) 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 Manitoba, & Quebec; point observations from the PEI Department of Environment, Water and Climate Change; Ontario Ministry of Agriculture, Food and Rural Affairs; University of Guelph - Ridgetown campus; British Columbia Ministry of Agriculture; and data collection supported by our regional AAFC Research and Development Centres in St. John's, Charlottetown, Kentville, Fredericton, Guelph and Summerland. Due to COVID-19 travel restrictions and forest fires, complete sampling coverages in BC was not possible, as a result the general agriculture class (120) is found in this province in areas where there was no ground data collected.

Built-Up Areas are man-made land cover features, ranging from small hamlets at rural cross roads to large cities. This product requires the use of GIS software. *[GIS]: geographic information system

This data shows spatial density of oilseed cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which oilseeds are more expected. Results are provided as rasters with numerical values for each pixel indicating the spatial density calculated for that location. Higher spatial density values represent higher likelihood to have oilseeds based on analysis of the 2009 to 2021 AAFC annual crop inventory data. Oilseeds consists of all types of oilseeds including borage, camelina, canola, flax, mustard, safflower, soybeans, sunflower and others (code 150) from the AAFC annual crop inventory.