In celebration of the tremendous diversity of tree species that tell the story of our culture and history, the NCC released in September 2020 a compilation of close to 170 remarkable trees across Canada’s Capital region entitled A Living Legacy: Remarkable Trees of Canada’s Capital. An interactive map and downloadable book are available for free on the NCC’s website and will allow the public to discover distinctive features of these trees, revealing a story of the beauty of our natural heritage through the rich diversity of species thriving within Canada’s Capital. This compilation features trees according to their commonalities, which can include their physical relationship with the land, the fact that they were a source of food for Indigenous peoples, or for their contribution to the forest industry.https://ncc-ccn.gc.ca/remarkable-treeshttps://ncc-ccn.maps.arcgis.com/apps/MapJournal/index.html?appid=a9ba98fb7e8b4c2ba9be337235b95291

Get data on the results of a community led planning process to sustain the natural environment in Prince Edward County and neighbouring communities. This dataset represents the results of a community led planning process to sustain the natural environment across the landscape. A collaborative team of individuals representing governments, stewardship councils, conservation organizations, local industry and private landowners worked together to identify and map natural heritage features and the connections between them. The data package includes: * spatial data * project reports * presentation materials The data has been made available to inform and support: * land use planning and resource management decision-making * strategic priorities for stewardship and restoration projects * priorities for conservation land acquisitions * priorities for inventory programs and research projects

Natural areas of interest in the City of Trois-Rivières**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Get data on the results of a community led planning process to sustain the natural environment for the Kawartha Lakes region. This dataset represents the results of a community led planning process to sustain the natural environment across the landscape. A collaborative team of individuals representing governments, stewardship councils, conservation organizations, local industry, private landowners and First Nation communities worked together to identify and map natural heritage features and the connections between them. The data package includes: * spatial data * project reports * presentation materials The data has been made available to inform and support: * land use planning * resource management * stewardship and restoration projects * priorities for conservation land acquisitions * priorities for inventory programs and research Please visit [http://www.kawarthasnaturally.ca/](http://www.kawarthasnaturally.ca/) for more information about this project.

This model is derived from geological and geophysical data, which is processed using deep learning and natural language processing techniques. Displayed is a Pan-Canadian probability map indicating the likelihood of discovering next-generation lithium-cesium-tantalum (LCT) pegmatites. This map was generated using known Canadian LCT pegmatites and their associated geospatial features, incorporating geological and geophysical data analyzed through deep learning and natural language processing techniques. Higher probability values highlight areas with an increased likelihood of hosting next-generation deposits, making this map a valuable tool for decision-making.

This dataset provides the background radiation dose results from Health Canada’s Canadian Radiological Monitoring Network (CRMN) monitoring sites. More information about the CRMN network can be found on the Health Canada website (see link below).This background radiation data contains both “monitoring” and “transit” dosimeters starting in 2016. The historical background radiation dose data can be found on the Open Data portal. A transit dosimeter is sent along with the monitoring dosimeter to determine if there is a significant dose recorded by the dosimeter while it is in transit to the sampling station. The transit dosimeter is shipped out with a station monitor, and shipped back with the station monitor from the previous quarter. The monitoring dosimeters are deployed over a longer time (around three months) than the transit dosimeters (around 3 weeks). This difference largely explains the lower recorded dose values for the transit dosimeter. The results provided for the monitoring and transit dosimeters are expressed as ambient dose equivalent to a cesium source, in units of millisieverts (mSv). The measured dose rate is reported in mSv/day. The external dose can be attributed almost exclusively to natural radiation (of terrestrial and cosmic origin) with fluctuations based on several factors including location, soil characteristics, and seasonal changes. The map shows the approximate sampling location for each monitoring station. Stations are found within the associated location range.

Facilities designed to recover natural gas liquids from a stream of natural gas. These facilities control the quality of the natural gas to be marketed.Mapping Resources implemented as part of the North American Cooperation on Energy Information (NACEI) between the Department of Energy of the United States of America, the Department of Natural Resources of Canada, and the Ministry of Energy of the United Mexican States.The participating Agencies and Institutions shall not be held liable for improper or incorrect use of the data described and/or contained herein. These data and related graphics, if available, are not legal documents and are not intended to be used as such. The information contained in these data is dynamic and may change over time and may differ from other official information. The Agencies and Institutions participants give no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data.Parent Collection:[North American Cooperation on Energy Information, Mapping Data](https://open.canada.ca/data/en/dataset/aae6619f-f9f3-435d-bc32-42decd58b674)

Get data on the results of a community led planning process to sustain the natural environment in Frontenac, Lanark, Leeds & Grenville. This dataset represents the results of a community led planning process to sustain the natural environment across the landscape. A collaborative team of individuals representing governments, stewardship councils, conservation organizations and private landowners worked together to identify and map natural heritage features and the connections between them. The data package includes: * spatial data * project reports * presentation materials The data has been made available to inform and support: * land use planning and resource management decision-making * strategic priorities for stewardship and restoration projects * priorities for conservation land acquisitions * priorities for inventory programs and research projects

The dataset identifies the location and types of Areas of Natural and Scientific Interest (ANSIs) that are commonly used in maps for resource management purposes. Official GEO title: ANSI

Natural gas onshore facilities used to receive, unload, load, store, gasify, liquefy, process and transport by ship, natural gas that is imported from a foreign country, exported to a foreign country, or interior commerce.Mapping Resources implemented as part of the North American Cooperation on Energy Information (NACEI) between the Department of Energy of the United States of America, the Department of Natural Resources of Canada, and the Ministry of Energy of the United Mexican States.The participating Agencies and Institutions shall not be held liable for improper or incorrect use of the data described and/or contained herein. These data and related graphics, if available, are not legal documents and are not intended to be used as such. The information contained in these data is dynamic and may change over time and may differ from other official information. The Agencies and Institutions participants give no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data.