The Department of National Defence has designated Firing Practice and Exercise Areas off the coasts of Canada. Activities in these areas may include bombing practice from aircraft, air-to-air, air-to-sea or ground firing, and anti-aircraft firing, etc. In Atlantic Canada, the Nova Scotia Area includes sea area employments for sub-surface operations and firing exercises (FIREX). The Gulf of St. Lawrence Area, excluding the French territorial waters of Saint-Pierre et Miquelon, includes sea area employments for sub-surface operations and underwater demolition training. For full details, see the Notices to Mariners, Section F, National Defence Military Notices, available online: https://www.notmar.gc.ca/publications/annual-annuel/section-f/f35-en.pdf. Legal Constraints: Users should be aware that the polygons depicting firing practice and exercise areas are intended for illustration only and should not be used for navigational or legal purposes.

Punctual location of the offices of the Ministry of Transport and Sustainable Mobility (MTMD), its Directorates-General, Service Centers, Service Sub-Centers and other types of buildings where the Ministry has a place of business.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Correctional Facilities is a point dataset identifying correctional facilities in British Columbia.

This dataset is a generalized view of "Timing Windows for Work in and About Waterbodies in the Cariboo Natural Resource Region" used for viewing the data at the Regional level. Timing windows are the period(s) during the year when work may be carried out in and about water bodies with the lowest risk to fish and wildlife species and habitat. Timing windows and terms and conditions vary based on regional differences in fish and wildlife species and habitat, and geography. The timing window of least risk to fish and fish habitat must be applied to all activities in water bodies, as well as tributaries that have a risk of depositing sediment into water bodies. Windows of least risk are designed to protect all fish species known to occur in a water body.

Polygon layer of road elements such as roadways, sidewalks, and parking lots.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Specific location of addresses, excluding apartment numbers.Attributes:Municipality - Municipality Code - Municipality CodeNo_Civic - Civic NumberType_Lane - Road Type_Lane - LinkName_Lane - LinkName_Lane - Link Road - Name of the wayOrientation - Name of the wayOrientation - Orientation of the lane (N, S, E, O) STREET - Full name of the streetAddress - Address**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Location of public transport connection points in the City of Repentigny.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Location of parks and green spaces in the City of Rimouski**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Specific planning areas of the revised layout and development plan of the City of Laval**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Canada Nature Fund for Aquatic Species at Risk (CNFASAR) is a contribution program that focuses on providing funding for recovery and threat mitigation activities in nine priority places and to address two marine threats to aquatic species at risk. The Priority Places and Marine Threats layer supports CNFASAR by delineating the location of the places and threats. The Canada Nature Fund for Aquatic Species at Risk (CNFASAR) supports applicants in the design and delivery of stewardship projects. These projects support the recovery and protection of aquatic species at risk. DFO has identified 2 priority marine threats and 9 priority places as the focus for projects funded by CNFASAR, these areas are included in this dataset.