The Georgia Basin Boundary dataset displays the extent of the Georgia Basin Ecosystem Initiative undertaken by the federal, provincial, and municipal governments. The objectives of the project are to support initiatives for clean air, clean water, habitat and species protection, and improved environmental decision-making in the Georgia Basin. The dataset consists of both a polygon layer and line layer

The Georgia Basin Boundary dataset displays the extent of the Georgia Basin Ecosystem Initiative undertaken by the federal, provincial, and municipal governments. The objectives of the project are to support initiatives for clean air, clean water, habitat and species protection, and improved environmental decision-making in the Georgia Basin. The dataset consists of both a polygon layer and line layer

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.

The Government of Alberta's Land-use Framework (LUF) sets out an approach to manage Alberta's lands and natural resources to achieve the province's long-term economic, environmental and social goals and provides a blueprint for land-use management and decision-making that addresses Alberta's growth pressures. The LUF was developed with extensive public, stakeholder, and Aboriginal consultation. The final framework was released by the Government of Alberta in December 2008 and provides the necessary forward-looking clarity and guidance under which specific policy development can be directed and progress can be measured. It provides a decision-making framework that reflects province-wide goals, principles and priorities. Legal authority to implement the LUF occurred on October 1, 2009, with the proclamation of the Alberta Land Stewardship Act (ALSA). The Act, which established as part of the public service but not as part of a government department, the LUS headed by the stewardship commissioner, potentially affects all activities on the land and all Albertans. This polygon shapefile contains the boundaries for the seven Land-use Framework planning regions which are based on watersheds and adjusted to align with municipal boundaries. The Land-use Framework regions are defined by Orders in Council which serve as the defining documents.

In August 2025 the Major Projects Office was launched, with the mandate to advance major projects in Canada and streamline federal regulatory project approval.This dataset was created to provide open access to key information about the projects and transformative strategies that have been referred to the Major Projects Office. This dataset can be layered with other data available on the Open Science and Data Platform. By accessing this data, users can conduct more comprehensive analyses to support evidence-based decision-making and inform regulatory processes including future impact assessments.Please visit the Major Projects Office for more information.

The Flood Hazard Map Index provides awareness of the areas at risk of flooding and support for improved decision making for activities and development in flood prone areas. Scanned, black and white images of New Brunswick Flood Risk Map Sheets.

Significant climate change impacts are highly likely in all Canadian marine and freshwater basins, with effects increasing over time (DFO 2012). Climate models project that ecosystems and fisheries across Canada will be disrupted into the foreseeable future (Lotze et al. 2019; Bryndum-Buchholz et al. 2020; Tittensor et al. 2021; Boyce et al. 2024). Despite its imminence, climate change is infrequently factored into Canada’s primary marine conservation strategies, such as spatial planning (O’Regan et al. 2021) or fisheries management (Boyce et al. 2021; Pepin et al. 2022). The Climate Risk Index for Biodiversity (CRIB) was developed to assess climate risk for marine species in a quantitative, spatially explicit, and scalable manner, supporting climate-informed decision-making. It has been used to evaluate climate risks for marine life globally (Boyce et al. 2022), regionally (Lewis et al. 2023; Boyce et al. 2024; Keen et al. 2023), for fisheries (Boyce et al. 2024), and in support of spatial conservation planning (Keen et al. 2023). This dataset contains climate vulnerability and risk estimates from the CRIB framework adapted to consider warming at both the sea surface and its bottom for 145 marine species of conservation or fisheries interest across Canada’s marine territory. Climate risk is available at a 0.25-degree resolution under two contrasting emission scenarios to 2100. For each species, location, and scenario, 12 climate indexes, three vulnerability dimensions, and an overall vulnerability and risk score are provided. The accompanying report describes the data, methods, and workflow used to calculate risk. This report also guides the interpretation of these data to inform and support climate-informed decision-making in Canada.

Traffic obstacles on the City of Montreal's road network updated in real time and standardized according to the CIFS standard. Data is entered by City teams. This data allows decision-making in real time in knowledge of the state of the network.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Explore Manitoba Agriculture’s soil survey data and related agricultural interpretations along with a comprehensive collection of public agricultural datasets from various organizations, all curated to support effective planning and decision-making.Explore Manitoba Agriculture’s soil survey data and related agricultural interpretations along with a comprehensive collection of public agricultural datasets from various organizations, all curated to support effective planning and decision making.    While Manitoba Agriculture is dedicated to maintaining the overall functionality of AgriMaps and upholding the accuracy of the soil survey data it contains, the information in this resource carries no guarantee of any kind, express or implied. Periodic updates may include adjustments or enhancements to the original published versions.    Please visit our website for the latest information and frequently asked questions. For enquiries, please email agriculture@gov.mb.ca.

In Canada, DFO assessments have reported a high probability of significant climate change impacts in all marine and freshwater basins, with effects increasing over time (DFO 2012a, 2012b), while climate projections indicate that ecosystems and fisheries will be disrupted into the foreseeable future (Lotze et al. 2019b; Bryndum-Buchholz et al. 2020; Tittensor et al. 2021; Boyce et al. 2022c). Despite its imminence, climate change is infrequently factored into Canada’s primary marine conservation strategies, such as spatial planning (O’Regan et al. 2021) or fisheries management (Boyce et al. 2021a; Pepin et al. 2022). The Climate Risk Index for Biodiversity was developed to assess climate risk for marine species in a quantitative, spatially explicit, and scalable way to better support climate-informed decision-making. It has been used to evaluate climate risks for marine life globally (Boyce et al. 2022a), regionally (Lewis et al. 2023), and for fisheries (Boyce et al. 2022c). These data present results from application of the CRIB framework to estimate average climate risks associated with sea surface warming across 2,959 species throughout the Canadian marine territory under contrasting future emission scenarios. In the Technical Report accompanying this data publication, we use Atlantic cod (Gadus morhua) as an example to describe the approach’s data, methods, and outputs, and to transparently and tangibly show how it quantifies risk and can inform and support climate-informed decision-making in Canada. Cite this data as: Boyce, D., Greenan, B., Shackell, N. Data of:A climate risk index for marine life across the Canadian exclusive economic zone.Published: January 2024. Ocean Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S.https://open.canada.ca/data/en/dataset/2a0b3298-2bcc-49a0-a745-af56ed0462f1