Coal Agreement feature class contains provincial extent polygon features representing Coal applications, agreements, leases, and licences, with varying term dates and conditions. These applications and subsequent agreements give the holder the right to explore Coal.

Administrative divisions corresponding to the territories represented by the municipal councilors.Attributs:id - ID - Unique IdentifierNumero - Electoral district numberMunicipality - Municipality codeName - Name of the electoral district councilor - Name of the electoral district councilor - Name of the electoral district councilor**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Historical finds of Adelges abietis

Historical finds of Pristiphora erichsonii

Coal Agreement feature class contains provincial extent polygon features representing Coal applications, agreements, leases, and licences, with varying term dates and conditions. These applications and subsequent agreements give the holder the right to explore Coal.

Industrial sectors.attributs:ID - Unique identifierName - Industrial park name**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

An administrative unit of forest land designated by the Minister, as authorized under Section 14(1) of the Forests Act.

High-resolution map of leading tree species distribution for Canada’s forested ecosystems (2019). Leading tree species map produced from a 2019 Landsat image composite, geographic and climate data, elevation derivatives, and remote sensing derived phenology following the framework described in Hermosilla et al. (2022). Regional classification models were generated based on Canada’s National Forest Inventory using a 150x150 km tiling system. The leading tree species are defined by representing the most voted tree species from the Random Forests classification models (i.e. the class with the highest class membership probability).The data represents leading tree species of Canada's forested ecosystems in 2019. An image compositing window of August 1 ± 30 days was used to generate the best-available-pixel (BAP) image composites utilized as source data for the classification.The science and methods developed to generate the information outcomes shown here, that track and characterize the history of Canada’s forests, were led by Canadian Forest Service of Natural Resources Canada, developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS), partnered with the University of British Columbia, augmented by processing capacity from Digital Research Alliance of Canada.For an overview on the data, image processing, and methods applied, as well as information on independent accuracy assessment of the data, see Hermosilla et al. (2022) https://doi.org/10.1016/j.rse.2022.113276When using this data, please cite as: Hermosilla, T., Bastyr, A., Coops, N.C., White, J.C., Wulder, M.A., 2022. Mapping the presence and distribution of tree species in Canada’s forested ecosystems. Remote Sensing of Environment 282, 113276.

Get data on fish stocking records from 1900 - 2012. This dataset is the most complete collection of historical fish stocking records available for the time period 1900 to 2012. It includes: * data source * species * rearing location * developmental stage * stock strain * spawning year * stocking date Related datasets: * [Ontario waterbody location identifer](https://data.ontario.ca/dataset/ontario-waterbody-location-identifier)

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.