Location of Major Infrastructure, Resource, Oil and Gas Projects in Nunavut, Northwest Territories and Yukon. Data and maps for illustrative purposes only. Users understand that, although all efforts have been made to accurately and exhaustively compile, locate and classify projects, the authors do not guarantee the accuracy and/or the comprehensiveness of the data and assume no responsibility for errors or omissions. CanNor does not assume responsibility for errors or omissions. In support of this initiative, proponents and partners are encouraged to contact CanNor should they identify any errors or omissions.

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 Major Projects Inventory (MPI), which is published quarterly, lists all major projects that are proposed, planned or underway in British Columbia. These are projects with a capital cost of at least $20 million each within the Lower Mainland and projects valued at $15 million or more in the rest of B.C. This is a point layer. To view the Major Projects Inventory in the BC Economic Atlas [click here]( http://maps.gov.bc.ca/ess/hm/bcea/?catalogLayers=5178)

Natural Resources Canada’s Major Projects Inventory published annually, provides a snapshot of major natural resource projects in Canada that are either currently under construction or are planned within the next 10 years.The inventory includes major projects that increase, extend or improve natural resource production in Canada, including new extraction projects, infrastructure projects, major processing facilities and large expansion projects. In addition, the inventory includes information on the value, timing and geographic location of projects.To be included in the inventory, projects in the energy and mining sectors must meet a minimum capital worth threshold of $50 million and electricity and forest sector projects must meet a threshold of $20 million. Also included in the inventory are clean energy and clean technology projects, which must meet a minimum capital worth threshold of $10 million.DISCLAIMER: Data is sourced from federal, provincial, and territorial databases, publicly accessible websites, and other sources, including CANOILS. Data and maps are for illustrative purposes only. Users understand that, although all efforts have been made to accurately and exhaustively compile, locate and classify projects, the authors do not guarantee the accuracy and/or the comprehensiveness of the data and assume no responsibility for errors or omissions. The routes of the proposed transmission lines and pipelines are approximations, often using only start and end points. In support of this initiative, proponents and partners are encouraged to contact Natural Resources Canada should they identify any significant errors or omissions.

This dataset contains spatial indices of environmental and social sensitivities for natural resources development for all of Canada. Both model result rasters (index maps) and input factors (weighted indices) are included along with point file locations of mineral, forestry, renewable energy, and future major projects.

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.

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.

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.

Identification of the NCC's public picnic areas. Picnic tables present, some larger locations have shelters.https://ncc-ccn.gc.ca/places/picnickinghttps://ncc-ccn.gc.ca/places/picnicking-greenbelt

Water quality and ecosystem health data used to conduct a cumulative effects assessment of Canadian Great Lakes nearshore waters in support of the Great Lakes Water Quality Agreement are included in this dataset. The data was collected by various government and non-government agencies and organizations and integrated into this dataset to allow the assessment to be conducted. By conducting a regular, systematic assessment of cumulative effects in the nearshore waters of the Great Lakes Environment and Climate Change Canada (ECCC) is able to identify areas of high quality and areas under stress. Knowledge of ecological thresholds, other Great Lakes assessments, stressor information, indicators and local and traditional ecological knowledge will be used to aid in: 1) the identification and mapping of high quality nearshore areas and areas that are or may become subject to high stress and; 2) the determination of factors and cumulative effects that are causing stress or threats. Cumulative effects impacting the nearshore and future threats to areas of high ecological value will be better understood and the knowledge shared will assist in priority setting for science and management at a meaningful and practical spatial scale within each Great Lake and connecting channel.