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.

This data contains the memorials and monuments located in communities across the country. Currently, more than 8,000 memorials are included in this data. This data is regularly updated as we continue to receive information on Canadian military memorials.

"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

This table contains data on whole and partial condemnation and slaughtering from 2015 to 2022.This table contains data on whole and partial condemnation and slaughtering from 2015 to 2022. The data is also classified by its Slaughter Class: Cattle, Swine, Chiken,  Spent layer hens, Ducks, Geese, Rabbits, Spent Breeder hens, 5 kg and under, Bison, Elk, Goats, Horses, Lambs, Llama/Alpaca, Mature turkey, over 11 kg, over 5 but no more than 7 kg, over 7 but no more than 9 kg, over 9 but no more than 11 kg, Sheep, and Wild boars.Field Names (Field Alias): Field description.SlaughterFigureID (SlaughterFigureID): unique indexed number assigned to each record in the database. BodyPart (BodyPart): code for the different body parts affected in partial condemnations. CondemnationReasonCode (CondemnationReasonCode): code for all the different reasons for condemnation. CondemnationType (CondemnationType): This identifies whether the condemnations are either Whole or Partial. SlaughterYear (SlaughterYear): Year when the slaughter occurred. NumberSlaughtered (NumberSlaughtered): Total number of animals slaughtered during the indicated period of time. NumberCondemned (NumberCondemned): Total number of animals condemned (whole) or total  number of parts of animals condemned (partial) during the indicated period of time. SlaughterClass (SlaughterClass): Species or class of the animal or part of the animal condemned. Quarter (Quarter): Number of the quarter.                   - January to March – 1                     - April to June – 2                     - July to September – 3                     - October to December - 4 QuarterYear (Quarter/Year): Corresponding quarter and year.

DFO Maritimes Region has conducted a cumulative human impact mapping analysis for the Scotian Shelf-Bay of Fundy management area to support ongoing Marine Spatial Planning initiatives (Murphy et al. 2024). Cumulative human impact mapping (CIM) combines spatial information on human activities and habitats with a matrix of vulnerability weights, into an intuitive relative ‘cumulative impact score’ that shows where cumulative human impacts are greatest and least. To map cumulative impacts in DFO’s Maritimes Region, a recently developed ecosystem vulnerability assessment for Atlantic Canadian waters (Murray et al. 2022) was combined with spatial information on 21 different habitat types and 45 human activities across five different sectors (climate change, land-based, marine-based, coastal, commercial fishing) following the methodology from Halpern et al. (2008). An uncertainty analysis of the cumulative impact map was conducted to assess the robustness of results and identify hot and cold spots of cumulative impacts. This dataset provides: 1) cumulative impact maps for the DFO Maritimes Region at 1 km2 resolution: a total cumulative impact map (i.e. including all 45 human activities), as well as cumulative impact maps for each of the five sectors, 2) a layer that identifies which grid cells are considered hot and cold spots of cumulative human impacts, and 3) the habitat layers included in the CIM.For further information concerning specifics of the maps and methods see Murphy et al. (2024) or contact the data provider. References:Halpern, B.S., Walbridge, S., Selkoe, K.A., Kappel, C.V., Micheli, F., D'Agrosa, C., Bruno, J.F., Casey, K.S., Ebert, C., Fox, H.E., Fujita, R., Heinemann, D., Lenihan, H.S., Madin, E.M.P., Perry, M.T., Selig, E.R., Spalding, M., Steneck, R., and Watson, R. 2008. A Global Map of Human Impact on Marine Ecosystems. Science. 319(5865): 948-952. doi:10.1126/science.1149345.Murray, C.C., Kelly, N.E., Nelson, J.C., Murphy, G.E.P., and Agbayani, S. 2022. Cumulative impact mapping and vulnerability of Canadian marine ecosystems to anthropogenic activities and stressors. DFO Can. Sci. Advis. Sec. Res. Doc. 2022/XXX. vi. + 52 p.Murphy, G.E.P., Stock, A., and Kelly, N.E. 2024 (in press). From land to deep sea: A continuum of cumulative human impacts on marine habitats in Atlantic Canada. Ecosphere.Cite this data as: Murphy, Grace; Kelly, Noreen (2023) Cumulative human impact maps for the Bay of Fundy and Scotian Shelf. Published September 2023. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/37b59b8b-1c1c-4869-802f-c09571cc984b

Data show where pathogens - fungal, bacillial or viral - have caused damage by reducing growth rates, tree vigor or have killed trees. Examples of forest diseases include White Pine Blister Rust, Armillaria Root Rot etc. The Government of Ontario tracks forest damage events to help proactively manage the detrimental effects to our forests. We monitor the threat and spread of invasive forest pest insect species in Ontario. The data is also important to the Forest Management Planning process in calculating timber volume loss within affected areas. This product requires the use of geographic information system (GIS) software.

The contaminants in fish database is a compilation of contaminant data analysed from fish tissue at the Fresh Water Institute from 1970 to 2005. Data include lab number, region, analysis, organs, species, lake, form (whole fish, headon dressed, headless dressed), weight, and length and contaminant concentrations. Total mercury was the predominant contaminant measured. Results were expressed as ppm or ppb based on the parameter analyzed. Concentrations are expressed based on wet weight.

An abiotic damage event is a non-biological event -- such as wind or an ice storm -- that has damaged areas of forested land. Abiotic damage event information is mainly used to: * generate summary maps for these events at a general or provincial scale * monitor the extent of damage for forest fire prevention purposes * calculate gross timber volume loss estimates caused by these events This product requires the use of geographic information system (GIS) software.

This dataset is a compilation of numerous data files recovered as part of a data request in 2024 from a historical archive of DFO research data. Sediment and Suspended Particulate Matter (SPM) samples were collected over more than a decade as part of Dr. Douglas Loring’s research program while working at the Bedford Institute of Oceanography (BIO). Samples were collected as part of individual and collaborative research projects, and links to the relevant primary science publications and reports are included in the data in an effort to provide context to the data, as well as describe the field and laboratory techniques used to generate the attached data.