The locations of coastal British Columbia recreational and pleasure craft cruising routes. The Coastal BC datasets are circa 2004 and legacy in nature. Caution should be exercised when using this data, as it may not be accurate or complete. There are currently no plans to update.

PURPOSE:To gather localized high-quality data for mapping eelgrass distribution in bays and estuaries in the Gulf Region of Atlantic Canada.DESCRIPTION:Between 2018 and 2023, a total of 48 coastal sites in New Brunswick (NB), Prince Edward Island (PE), and Nova Scotia (NS) have been fully processed for eelgrass presence/absence and depth information.An additional 18 sites from the same region and time period (2018–2023) have data collected but not yet fully processed for depth and eelgrass classification. These sites will be incorporated into the dataset as processing is completed. PARAMETERS COLLECTED:Geographic coordinates, timestamp, submerged aquatic vegetation presence.NOTES ON QUALITY CONTROL:BioSonics Visual Aquatic was used to process raw dt4 files by delineating the bottom and submerged aquatic vegetation (SAV) heights. Initial delineation of the estuary bottom was performed using an automated algorithm within the software, followed by manual adjustments to refine the delineation as needed. An algorithm was then used to delineate vegetation, which was edited visually by referring to written ground-truthing notes and underwater photos taken with a GoPro underwater camera with GPS capacity. Expert advice within DFO was used to advise the analysts on best practices and subtleties in the echograms. All efforts were made to ensure vegetation mapped was eelgrass, but in some cases, such as where the acoustic response was not clear or ground-truthing notes were lacking, it is possible that other types of SAV were included.The processed data were exported from BioSonics Visual Aquatic aggregating sets of 10 pings that were in very close proximity. Grouped pings with a vegetation canopy height >= 0.1 m were assigned an eelgrass presence (i.e., "EG_Presence") value of "Y", while grouped pings with a height < 0.1 m were assigned a presence value of "N".SAMPLING METHODS:Acoustic data were collected during the summer or early fall season (varies depending on the site) by the Southern Gulf of St. Lawrence Coalition on Sustainability (Coalition-SGSL) in partnership with Fisheries and Oceans Canada (DFO) Gulf Region. At some sites, the Province of New Brunswick's Department of Agriculture, Aquaculture and Fisheries (NBDAAF) also collected data using their boat. BioSonics MX Aquatic Habitat Echosounder units with a single beam (8.7°) 204.8kHz transducer (mounting height varied depending on the boat used) was used for data collection by all parties. Positioning was achieved using the BioSonics internal GPS through 2020, then subsequently an external GPS unit (Hemisphere S631 RTK GPS) was used to improve positioning from 1-2m accuracy to ~20cm when differential was obtained. BioSonics Visual Acquisition software was used to collect the data.USE LIMITATION:This product is provided as-is and has not been accuracy-assessed against other data. Since there were no transect-independent ground-truthing points surveyed, the accuracy of any interpolated surfaces created from this data cannot be known.Not for use without inclusion of full metadata. The data products are supplied "as they stand" and DFO does not guarantee the integrity, the completeness, or the accuracy.There were issues with the internal GPS of the BioSonics unit, and their impact on positional accuracy has yet to be determined. Beginning in 2021, an external, higher precision GPS unit was used to increase accuracy.Use of various boats and surveyors, as well as analysts, can introduce some inconsistencies in the data collection and analysis between sites and years. Site-specific characteristics such as mixed submerged aquatic vegetation can complicate mapping efforts. Shallow areas can also be challenging to delineate accurately since the bottom and/or the vegetation can extend higher than the mounted transducer. In these cases, a best estimate was used by the analyst.Weather conditions such as wind can affect the accuracy of the results, as the transponder may pitch and roll with the boat, while increased sediment in the water can interfere with the signal. Single-beam acoustic data has a very small focus footprint, which varies with depth, so it should not be considered a comprehensive bottom mapping tool. However, it does provide valuable point data that can indicate presence of vegetation, canopy height, relative depth, and ground-truthing for other mapping techniques (e.g. aerial or satellite imagery). For example, at 1 m depth, the 8.6 degree single-beam used for this work has a footprint of approximately 0.0177 square metres, and at 2 m depth that footprint becomes 0.0711 square metres.

In 2018 and 2019 Fisheries and Oceans Canada conducted a project to relocate American Eel (Anguilla rostrata) from Port Dalhousie Harbour to mitigate potential impacts of in-water construction prior to and during an essential harbour revitalization project. American Eel are designated as Endangered under the Province of Ontario’s Endangered Species Act and were confirmed to be present in the area during initial sampling efforts of this project. While a combination of passive eel traps and boat electrofishing were used to capture eels, this dataset includes passive capture data only. A total of four eels were captured using eel traps and all individuals were relocated to Hamilton Harbour. Only two of the four eels captured were large enough to be tagged with acoustic transmitters, both of which eventually returned to Port Dalhousie from Hamilton Harbour. All other fish species captured in the traps were identified, counted and released at Port Dalhousie.

Since 1991, an annual fishery-independent acoustic survey of early fall (September-October) concentrations of Herring has been conducted in the sGSL. The standard annual survey area occurs in the 4Tmno areas where both NAFO Div. 4T Herring spawning components aggregate in the fall. The survey uses a random stratified design of parallel transects within predefined strata. Surveys are conducted at night and use two vessels: an acoustic vessel to quantify the fish schools biomass using a hull-mounted 120 KHz split-beam transducer, and a fishing vessel to sample aggregates of fish with a pelagic trawl (details in LeBlanc et al. 2015; see also LeBlanc and Dale 1996).Trawl samples are used to separate the estimated biomass by spawning component and age, determine species composition, and size distribution for the estimation of the target strength (LeBlanc and Dale 1996; LeBlanc et al. 2015).A standardized abundance index is generated from this acoustic survey. This index includes catch-at-age data since 1994.This survey also provides the age-disaggregated acoustic abundance index for ages 2 to 10 for spring spawners and fall spawners.

The City dataset is comprised of all the polygons that represent Cities in Alberta. City is a municipality type defined under the authority of the Municipal Government Act. The formation of a City can occur when a majority of the buildings are on parcels of land smaller than 1850 square meters and there is a population of 10 000 or more.

The intention is to show the boundaries of all refuges in Manitoba, as designated by the Designation of Wildlife Lands Regulation (171/2001) under The Wildlife Act (C.C.S.M. c. W130). Refuge types include Wildlife Refuge, Game Bird Refuge, Goose Refuge, and Fur Bearing Animal Refuge. The Use of Wildlife Lands Regulation (77/99) determines what activities are prohibited within each refuge.Boundaries are drawn based on the physical description described in regulation, or imported using CAD files from the official Director of Surveys Plan stated in regulation.

This dataset provides the results obtained by Health Canada’s Canadian Radiological Monitoring Network (CRMN) for the gross alpha and beta activity concentrations in drinking water, given in units of becquerels per liter (Bq/L). More information about the CRMN network can be found on the Health Canada website (see link below). Although water quality is a matter of provincial jurisdiction, the CRMN, in collaboration with the city of Ottawa, has been conducting a targeted program to monitor the radiological content of drinking water from two water treatment plants in Ottawa, ON. The Guidelines for Canadian Drinking Water Quality recommend screening levels of 0.5 Bq/L and 1.0 Bq/L for gross alpha and gross beta activity, respectively. The screening levels are set to reflect the most restrictive Maximum Acceptable Concentrations (MACs) for specific radionuclides in drinking water. If the screening levels are not exceeded, compliance with the guidelines can be inferred. The screening levels set out in the Guidelines for Canadian Drinking Water Quality are calculated based on annual averages of radionuclides in drinking water. Short-term exposure to levels above those recommended by these guidelines does not indicate a health risk. The measured gross alpha and gross beta activity concentrations presented here are well below the screening levels set by the Guidelines for Canadian Drinking Water Quality, with only one exception to date. This occurred February 28, 2011, and was attributable to the flushing of lead pipes at the water treatment plant. It resulted in a spike of naturally occurring lead radionuclides that was dealt with immediately by the City of Ottawa. The map shows the approximate sampling location for each monitoring station. Stations are found within the associated location range.

The Metis Settlement is a dataset comprised of all the polygons that represent Metis Settlements lands in Alberta. Metis Settlements are lands set apart by provincial legislation for the use and benefit of the members of the eight Metis Settlements in Alberta. The legal title of these lands rests with the Metis Settlements General Council, a legislated-body that holds the fee simple interest on all Metis settlement lands, equivalent to full ownership of the land, with certain limited rights reserved for the Crown. The provincial government has primary jurisdiction over these lands and the people living on them.

"Vegetation Zones of Canada: a Biogeoclimatic Perspective" maps Canadian geography in relation to gradients of regional climate, as expressed by potential vegetation on zonal sites. Compared to previous similar national-scale products, "Vegetation Zones of Canada" benefits from the work of provincial and territorial ecological classification programs over the last 30+ years, incorporating this regional knowledge of ecologically significant climatic gradients into a harmonized national map. This new map, reflecting vegetation and soils adapted to climates prior to approximately 1960, can serve as a broad-scale (approximately 1:5 M to 1:10 M) geospatial reference for monitoring and modeling effects of climate changes on Canadian ecosystems. "Vegetation Zones of Canada: a Biogeoclimatic Perspective" employs a two-level hierarchical legend. Level 1 vegetation zones reflect the global-scale latitudinal gradient of annual net radiation, as well as the effects of high elevation and west to east climatic and biogeographic variation across Canada. Within the level 1 vegetation zones, level 2 zones distinguish finer scale variation in zonal vegetation, especially in response to elevational and arctic climatic gradients, climate-related floristics and physiognomic diversity in the Great Plains, and maritime climatic influences on the east and west coasts. Thirty-three level 2 vegetation zones are recognized: High Arctic Sparse Tundra Mid-Arctic Dwarf Shrub Tundra Low Arctic Shrub Tundra Subarctic Alpine Tundra Western Boreal Alpine Tundra Cordilleran Alpine Tundra Pacific Alpine Tundra Eastern Alpine Tundra Subarctic Woodland-Tundra Northern Boreal Woodland Northwestern Boreal Forest West-Central Boreal Forest Eastern Boreal Forest Atlantic Maritime Heathland Pacific Maritime Rainforest Pacific Dry Forest Pacific Montane Forest Cordilleran Subboreal Forest Cordilleran Montane Forest Cordilleran Rainforest Cordilleran Dry Forest Eastern Temperate Mixed Forest Eastern Temperate Deciduous Forest Acadian Temperate Forest Rocky Mountains Foothills Parkland Great Plains Parkland Intermontane Shrub-Steppe Rocky Mountains Foothills Fescue Grassland Great Plains Fescue Grassland Great Plains Mixedgrass Grassland Central Tallgrass Grassland Cypress Hills GlaciersPlease cite this dataset as: Baldwin, K.; Allen, L.; Basquill, S.; Chapman, K.; Downing, D.; Flynn, N.; MacKenzie, W.; Major, M.; Meades, W.; Meidinger, D.; Morneau, C.; Saucier, J-P.; Thorpe, J.; Uhlig, P. 2019. Vegetation Zones of Canada: a Biogeoclimatic Perspective. [Map] Scale 1:5,000,000. Natural Resources Canada, Canadian Forest Service. Great Lake Forestry Center, Sault Ste. Marie, ON, Canada.

This service shows the average owner estimated value of dwelling for Canada by 2016 census division. The data is from the Census Profile, Statistics Canada Catalogue no. 98-316-X2016001.Value (owner estimated) of private dwelling refers to the dollar amount expected by the owner if the asset were to be sold.In the context of dwelling, it refers to the value of the entire dwelling, including the value of the land it is on and of any other structure, such as a garage, which is on the property. If the dwelling is located in a building which contains several dwellings, or a combination of residential and business premises, all of which the household owns, the value is estimated as a portion of the market value that applies only to the dwelling in which the household resides. For additional information refer to 'Value (owner estimated)' in the 2016 Census Dictionary.For additional information refer to 'Value (owner estimated)' in the 2016 Census Dictionary.To have a cartographic representation of the ecumene with this socio-economic indicator, it is recommended to add as the first layer, the “NRCan - 2016 population ecumene by census division” web service, accessible in the data resources section below.