This interactive map commemorates Canada’s participation in armed conflicts at home and abroad by highlighting a sample of the many geographical features and places named for those that served our country. These commemorative geographical names help us remember war casualties, soldiers, sailors, airmen and airwomen, military leaders, and civilians recognized or decorated for outstanding acts of bravery and sacrifice in battle. These names also commemorate notable battles in which Canada participated, and Canadian military units, regiments, squadrons, and ships in which Canadians served. Federal, provincial and territorial members of the Geographical Names Board of Canada provided these commemorative names for the development of the map. Many more commemorative place names exist in Canada, and will be added in future releases of this evergreen interactive map. If you would like to contribute names to this project, please contact the Geographical Names Board of Canada Secretariat at Natural Resources Canada.

This dataset provides a geographical location (in decimal degrees to the nearest second) for all officially named geographical features within the Province of Manitoba.The purpose of this dataset is to provide a geographical location (in decimal degrees to the nearest second) for all officially named geographical features within the Province of Manitoba, as per the Manitoba Geographical Names Program. The program’s mission is to: “embrace the active preservation of the province’s culture through its toponymy, and provides a naming authority for the enhancement, maintenance, dissemination, and protection of Manitoba’s geographical nomenclature recognizing the integral role geographical names play in our daily lives including their essential value to our scientific, commercial, and economic world.”  As part of the program, staff administer and maintain all nomenclature records, an automated names information system, a resource library and archives, supplementary name location maps, a bibliography of name studies, and a commemorative names project. The Manitoba’s Geographical Names database contains more than 24, 000 official and heritage place names found throughout Manitoba. For each place name, the data set contains geographic coordinates, the type of feature, the name’s approval data, its location reference, plus any heritage information recorded about the name. Fields included (Alias (Field Name): Field description.)  OBJECTID (OBJECTID): Sequential unique whole numbers that are automatically generated. Shape (Shape): Coordinates defining the features. Geographical Name (Geographical_Name): Current official name. Unique National Identifier (Field Unique_National_Identifier): Unique national identificatier applied to each toponym by the Geographical Names Board of Canada member for Manitoba. Feature Code (Feature_Code): Numeric code used to classify toponyms based on the nature of the related geographical feature. NTS 250,000 Map Sheet (NTS_250_000_Map_Sheet): Map number of the National Topographic System (NTS) 1:250 000 map sheet that contains the centroid of the toponym.  NTS 50,000 Submap Sheet (NTS_50_000_Submap_Sheet): Map number of the National Topographic System (NTS) 1:50 000 map sheet that contains the centroid of the toponym. Latitude (Latitude): Latitude in Decimal Degrees. Longitude (Longitude): Longitude in Decimal Degrees. Casualty Hometown (Casualty_Hometown): Hometown that was provided by the casualty of war at time of enlistment.  Casualty Regimental Number (Casualty_Regimental_Number): Regimental number of the casualty of war at the time of their death. Casualty Rank (Casualty_Rank): Rank of the casualty of war at the time of their death. Casualty Surname (Casualty_Surname): Surname of the casualty of war at the time of their death. Casualty Given Name(s) (Casualty_Given_Name_s_): Given name(s) of the casualty of war at the time of their death.  Casualty Date of Death (Casualty_Date_of_Death): Date of death for the casualty of war. Casualty Regiment (Casualty_Regiment): Military affiliation of the casualty of war at the time of their death. Casualty Place of Burial (Casualty_Place_of_Burial): Place of burial of the casualty when the geographical feature is named in honour of a casualty of war. Feature Type (Feature_Type): Type of geographical feature, e.g. lake, island, bay, town, city.  Feature Type Description (Feature_Type_Description): Description of the geographical feature.

The DND Air Weapons Range dataset is comprised of all the polygons that represent the Air Weapons Range established by the Department of National Defence, Government of Canada, within the Province of Alberta. Air Weapons Range is the area used as a practice and firing range with restricted access provisions and which is owned and operated by the Department of National Defence, Government of Canada.

"Fall" missions occur primarily in October and November, but sets from September and December are also present in the data. Collected data includes total catch in numbers and weights by species. Length frequency data is available for most species, as are the age, sex, maturity and weight information for a subset of the individual animals. Other data such as ageing material, genetic material, and stomach contents are often also collected, but are stored elsewhere."Fall" cruises occur in September, October, November and December.Cite this data as: Clark, D., Emberley, J. Data of Maritimes Fall Research Vessel Survey. Published January 2021. Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/5f82b379-c1e5-4a02-b825-f34fc645a529

As the COVID-19 pandemic spreads, researchers and health professionals have noted large differences in the impact that the infection has on individuals. Whereas some remain asymptomatic and unaware of their infection or experience only mild symptoms, others require hospitalization, ventilation, and may even die. As research evidence accumulates, both nationally and internationally, it appears that certain health characteristics, such as obesity or the presence of chronic conditions, increase the risk of severe outcomes among those who are infected with the novel coronavirus.To better understand which segments of the Canadian population may be vulnerable to severe health outcomes related to COVID-19, Statistics Canada and the Public Health Agency of Canada have worked collaboratively to build an index of underlying health conditions in the adult household population. Using information from the 2017/2018 Canadian Community Health Survey, new data tables released today estimate the proportion of the adult household population who may be at greater risk of severe health outcomes related to COVID-19 due to the presence of underlying health conditions.

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.

In 2018, Fisheries and Oceans Canada initiated the Multidisciplinary Arctic Program (MAP) – Last Ice, the first ecosystem study of the poorly characterized region of the Lincoln Sea in the Marine Protected Area of Tuvaijuittuq, where multiyear ice still resides in the Arctic Ocean. MAP-Last Ice takes a coordinated approach to integrate the physical, biochemical, and ecological components of the sea ice-ocean connected ecosystem and its response to climate and ocean forcings. The cross-disciplinary program establishes baseline ecological knowledge for Tuvaijuittuq and, in particular, for its unique multiyear ice ecosystem. The database provides baseline data on the abundance of bacteria and viruses in multi- and first-year ice and in surface waters of the Lincoln Sea in Tuvaijuittuq, and their relation to bio-physical conditions. The data were collected during the 2018 spring field campaign of the MAP-Last Ice Program, at an ice camp offshore of Canadian Forces Station (CFS) Alert.

Registered vaccine distribution locations for the Flu and COVID-19 season that will appear on the Vaccine Provider App.

Boundaries developed for use when aggregating cases and reporting during the COVID-19 pandemic in Saskatchewan.The province of Saskatchewan has been divided into six distinct areas for use in reporting the infection rates of COVID-19 during the 2020 outbreak of the virus. This dataset is 'Deprecated'. Please use updated source here.

This catalog contains annual 30 m spatial resolution snow dynamics metrics for each snow-year from 2018-2019 to 2023-2024 for all of Canada. We gather all Landsat and Sentinel-2 images collected over Canada and identify the status of each pixel observation on the image collection date: snow (and ice), non-snow (i.e., land, water), unclear (i.e., clouds, shadows). We built an algorithm to calculate snow cover metrics for each pixel during each winter: start date of the first (and biggest) snow period [startF, startB], end date of the last (and biggest) snow period [endL, endB], number of days with snow cover in total (or in the biggest snow period) [lengthT, lengthB], number of snow periods (i.e., separated times with multiple confirmed snow observations) [periods], and a status classification (e.g., continuous snow, snow free) [status]. We do not obtain a clear observation every day because of satellite orbit frequencies and clouds. This means that timing-based metrics are identified by the middle date between two clear observations, with uncertainty quantified as half the length of the gap (i.e., ± days) [startF_u, startB_u, endL_u, endB_u, lengthT_u, lengthB_u].