Cultural heritage of the revised urban and development plan of the City of Laval**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This data shows anthropogenic polygon disturbance features. Features were digitized using high resolution satellite imagery and orthophotos. The following data was not included in the dataset: proposed features. Table 1. A list of attributes, associated domains, and descriptions. Attribute Data Type Domains Description REF_ID Text (20)   Unique feature reference ID DATABASE Text (20) Historic, Most Recent, Retired Sub-database to which the feature belongs TYPE_INDUSTRY Text (50) Table 2.3.2 Major classification of disturbance feature by industry TYPE_DISTURBANCE Text (50) Table 2.3.2 Sub classification of disturbance feature SCALE_CAPTURED Long   Scale at which the feature was digitized DATA_SOURCE Text (10) Imagery, GPS, Other Data source: digitized from imagery, captured by GPS, or obtained by other means IMAGE_NAME Text (100)   Filename of source imagery IMAGE_DATE Date   Date that imagery was captured (YYYYMMDD) IMAGE_RESOLUTION Double   Resolution of source imagery in meters IMAGE_SENSOR Text (35)   Name of sensor that captured source imagery Table 2. A list of disturbance feature types and their descriptions. TYPE_INDUSTRY TYPE_DISTURBANCE DESCRIPTION Agriculture Agriculture Farms, ranches, or other agricultural areas Forestry Forestry Cut blocks or other forestry related activities Mining Building A building footprint or the building and the surrounding land related to mining activities. Drill Pad Drill pad features related to mineral exploration activities Fuel Cache Remote caches of fuel allowing for mineral exploration activities (will often have fuel tanks and barrels) Gravel Pit / Quarry Pit or quarry for mining gravel or aggregate Laydown area Areas used to store materials and equipment for mining operations Mining Miscellaneous or unknown mining activities Placer Mining - Minor Placer mining area with little disturbance Placer Mining - Significant Placer mining area with greater disturbance Quartz Mining - Minor Quartz mining area with little disturbance Quartz Mining - Significant Quartz mining area with greater disturbance Tailing Pond Tailing pond associated with mining activity Camp Mining camp Oil and Gas Well Pad Cleared area surrounding oil or gas well Rural Camp Any camp outside of mining areas, including fishing/hunting camps, ENV conservation officer cabins/camps, outfitters, etc. Homestead Rural dwelling and associated land Transportation Airstrip Airport or Airstrip Clearing Clearings that are related to transportation but could not be clearly attributed as a turn area, pullout, road cut and fill, etc. Gravel Pit / Quarry Gravel pits related to transportation Pullout / Turn Area An area associated with transportation and is intended as a vehicle pullout or turn area Road Cut and Fill Cut slopes and moved earth for road construction purposes Unknown Clearing A tract of land devoid (or nearly devoid) of natural land cover and suspected to be anthropogenic in nature Gravel Pit / Quarry A gravel pit with unknown related industry Unknown Unable to identify from imagery, but suspected to be anthropogenic Urban Building Visible building or structure Cemetery Cemetery Clearing Miscellaneous urban clearings Cul-de-sac / Turn Area A turn area associated with transportation or road cul-de-sac Dam Barrier impounding water or stream Golf Course Recreational golfing area Industrial Areas that are designated for industrial uses: factories, tank farm, transportation area Institutional Any institutional buildings and immediate cleared area: School, government, etc. Landfill Site used for disposal of waste materials Pond Standing body of water, created anthropogenically; includes sewage lagoons, wastewater facilities, and artificial bodies of water. Recreation Area Visible disturbance in Urban / Rural parks and recreation areas Rural Residential Land use in which housing predominates in an urban or community setting Tower A tall structure, possibly used for communications or forestry Urban Miscellaneous or unknown urban features   Distributed from [GeoYukon](https://yukon.ca/en/statistics-and-data/mapping/explore-map-data-using-geoyukon) by the [Government of Yukon](https://yukon.ca/) . Discover more digital map data and interactive maps from Yukon's digital [map](https://yukon.ca:443/en/maps) data collection. For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)            

Integrated urban revitalization sectors (RUI) of the revised urban planning and development plan of the City of Laval**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

"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

Canada’s NFI survey was designed to provide an unbiased probability sample of Canada’s forests for long-term strategic monitoring purposes. The target population is Canada’s entire non-Arctic land area. A National Terrestrial Monitoring Framework (NTMF) was created by establishing a systematic 4 km by 4 km sampling grid over all of Canada from a random offshore point. Prior to T0, NFI partners determined that the NFI program would be able to affordably achieve its mission by establishing a 2 km by 2 km (400 ha) “photo plot” at every fifth sampling point on the NTMF (i.e. every 20 km), thereby providing a one percent sample of the target population. This sampling intensity was considered sufficient for national reporting and possible to sustain over the long term with anticipated funding. Photo plots were established across Canada during 2000-2006 (T0). There are 26,139 photo plot survey locations on the 20 km by 20 km grid, of which 18,570 lie inside the target population area. For each photo plot, information is collected on land cover, land use, ownership and protection status. NFI photo plot survey data are stratified by “NFI Unit” for standard estimation and reporting purposes. NFI Units were created by the geographic intersection of Canada’s 10 provinces, 3 territories and 12 non-Arctic terrestrial ecozones. Estimates produced for NFI Units are rolled up to produce standard reports for ecozones, jurisdictions (provinces and territories) and Canada. Some NFI Units are too small to produce robust estimates for with the current sampling intensity, so NFI Unit estimates are not publicly reported. Prince Edward Island (PEI) Atlantic Maritime, for example, is PEI’s only NFI Unit and it is small (1% sampling intensity achieved with only 19 photo plots), so the NFI avoids publishing provincial reports. Information consumers are encouraged to use official statistics produced by provincial and territorial governments for the forests in their jurisdictions. Most provinces are large, however, and the current NFI sampling intensity is sufficient for producing robust NFI reports for those jurisdictions. Special estimation reports can be produced using different ecological or administrative strata, such as the Boreal Zone, or the Managed Forest. NFI photo plots are surveyed on a ten-year cycle. During first re-measurement (T1; 2008-2017), survey intensity was reduced to one photo plot every 40 km across northern Canada (Figure 3) because of budget limitations. The T2 survey (2018-2027) is currently underway.

All named watershed polygons

Location of access points to a free wifi network**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Fish Pathology Program (FPP) located at the Pacific Biological Station in Nanaimo has been assessing the health of aquatic animals since the early 1970’s. Utilizing traditional diagnostic methods, the FPP has supported internal and external clients to provide clinical data and management advice on the health of aquatic animals. The dataset contains information from diagnostic fish health cases coming from the Salmonid Enhancement Program, Research, Public and I&T submissions. Data contained in the database includes pathogen findings from submitted cases from all of the Pacific Region. The publication of The Fish Health Database will comply with public release recommendations documented in recommendation twenty two, made in volume three of the Final Report (October 2012) submitted by the Cohen Commission of Inquiry into the Decline of the Sockeye Salmon in the Fraser River.

Traditional territories of Yukon first nations and settlement areas of Inuvialuit and Tetlit Gwich'in within the Yukon Territory. A Traditional Territory is an area of the Yukon that the people of a First Nation have traditionally used. A First Nation's Settlement Lands fall inside the boundaries of its Traditional Territory. A First Nation does not own its Traditional Territory, but the First Nation and its benificiaries have a number of rights within their Traditional Territory, both on and off of Settlement Land. This data was built using the 1:250,000 National Topographic Data Base (NTDB) data as the base and the 1:500,000 hardcopy traditional territory maps as signed by individual First Nation chiefs on November 8, 1988 for the line work. The White River First Nation asserted traditional territory boundary in this dataset was updated on November 7, 2024. The Acho Dene Koe First Nation asserted traditional territory boundary in this dataset was updated on June 16, 2025.

This collection of eelgrass data has been collated to produce a national map of the location and distribution of eelgrass beds across Canada. The data providers collaborating in this initiative include Federal, Provincial and Municipal government departments and agencies, academia, non-governmental organizations, community groups, private sector, Indigenous groups and independent science organizations. The National Eelgrass Task Force (NETForce) is a collaborative, diverse and inclusive partnership of scientists, managers, and stakeholders working towards a concrete vision which is to create a national map of eelgrass distribution in Canada that is publicly accessible, dynamic, and useful for monitoring and collective decision-making. The eelgrass data were collected using various mapping techniques including species distribution models, benthic sonar, field measurements of habitat presence or absence, video transects, aerial photography, field validation, literature review, satellite imageries, LiDAR, Airborne spectrographic imaging, and Unoccupied Aerial Vehicle (UAV). The metadata provided by the partners relevant for their own projects and the field names were made similar for the compiled dataset. We also created additional fields that differentiated the datasets, and these include data provider, institution code, water body, mapping techniques, province, biogeographic region, eelgrass observation... Other fields are included depending on the original metadata provided by the data provider (i.e. eelgrass percentage cover, eelgrass density, map reference, image classification technique). The data span from 1987 to present, with some eelgrass beds being surveyed only once while others were sampled across several years. Uncertainty information associated with a dataset is included in the metadata when available. This map is intended to be evergreen and more eelgrass data will be added when available. This compiled dataset has been collected by many organizations for different purposes, using different survey techniques and different methodologies and, therefore, considerable care must be taken when using these data. For further information concerning specific datasets contact the data provider/institution and/or see the associated technical report (if available) included in the Report folder under the ‘Data and Resources’ section. This group of eelgrass data has been divided using the geographic boundaries of the Federal Marine Bioregions (https://open.canada.ca/data/en/dataset/23eb8b56-dac8-4efc-be7c-b8fa11ba62e9). The title of each geodatabase (FGDB/GDB) contains the name of the bioregion. The Data Dictionary guide provides the fields description (English and French) from each layer included in the geodatabases. For additional information please see: Gomez C., Guijarro-Sabaniel J., Wong M. 2021. National Eelgrass Task (NET) Force: engagement in support of a dynamic map of eelgrass distribution in Canada to support monitoring, research and decision making. Can. Tech. Rep. Aquat. Sci. 3437: vi + 48 p. https://waves-vagues.dfo-mpo.gc.ca/library-bibliotheque/4098218x.pdf Guijarro-Sabaniel, J., Thomson, J. A., Vercaemer, B. and Wong, M. C. 2024. National Eelgrass Task Force (NETForce): Building a dynamic, open eelgrass map for Canada. Can. Tech. Rep. Fish. Aquat. Sci. 3583: v + 31 p. https://waves-vagues.dfo-mpo.gc.ca/library-bibliotheque/41223147.pdf