The names of these rivers in the Bay of Fundy and Port Hawkesbury Area Response Plan (ARP) regions were obtained from Recovery Potential Assessments (see references), and cross referenced with the Atlas of Canada hosted online by Natural Resources Canada. These rivers were then identified and marked in ArcGIS using the Nova Scotia and New Brunswick Hydrographic Networks. Point features were used to represent the river mouths. For rivers large enough to be represented by polygon features, the point was placed where the polygon closed the inlet. For smaller rivers represented by a polyline, the point was placed where the line intersected the coastline. When multiple tributaries of a river were identified as salmon rivers, only the most seaward was marked. Cite this data as: Corrigan, S. Data of: Salmon Rivers Presence, Maritimes Region. Published: June 2019. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, St. Andrews, N.B. https://open.canada.ca/data/en/dataset/ded53eaa-bb98-4476-beea-3138372c740b

The following dataset contains a list of all publicly funded universities and the Nova Scotia Community College (NSCC) campuses across the Province including mailing addresses and geographic coordinates.

A tidal resource assessment dataset for the Quatsino Sound region, British Columbia, was developed, including temporal maximum, mean, and minimum velocity magnitudes, standard deviations, and power density. The dataset was generated using a high-resolution 2D depth-averaged hydrodynamic model based on the Telemac-Mascaret solver, with Natural Neighbor interpolation applied for raster creation. This newly published dataset is the first in a series of regional tidal energy maps for Canada. Developed by CanmetENERGY Ottawa in collaboration with partners, these maps aim to support effective project planning and development by providing comprehensive tidal resource data across the country. Disclaimer: Potential errors in the model results may arise from inherent limitations in the topo-bathymetric data accuracy, assumptions in boundary conditions, approximations within the numerical methods, and the input data used in the numerical modeling. These factors introduce uncertainties that can affect the overall model outcomes. The model is subject to the following conditions: • Topo-bathymetric data: Obtained from electronic navigational charts and the Canadian Hydrographic Service’s (CHS) NONNA-10 Bathymetric Data packages, consolidating CHS-managed digital bathymetric sources with a maximum resolution of 10 m. • Tidal and current harmonic components: Used as boundary conditions from the TPXO9 global tidal model. • Model calibration and validation: Performed using data from Acoustic Doppler Current Profilers (ADCP), surface elevations recorded at CHS tidal stations, and Lagrangian drifter measurements. • Interpolation method: Dataset outputs were generated with Natural Neighbor interpolation, which assumes smoothly varying data and may not capture sharp local gradients or features. • Modeled estimates: All values for velocity magnitudes, velocity standard deviations, and power density are modeled estimates and not direct field measurements. This dataset is intended for preliminary assessment of tidal projects only. It should not be the sole basis for making critical decisions or investments. We strongly recommend further validation and in-depth analysis. Users are responsible for conducting their own due diligence and additional research to verify the data's accuracy and relevance for specific applications. By accessing and using this dataset, users acknowledge and accept these disclaimers. The providers of this dataset explicitly absolve themselves of any responsibility or liability for any consequences arising from the use, reliance upon, or interpretation of this dataset. Users are advised that their use of the dataset is at their own risk, and they assume full responsibility for any actions or decisions made based on the information contained therein. This disclaimer is in accordance with applicable laws and regulations, and by accessing or utilizing the dataset, users agree to release the providers of this dataset from any legal claims, damages, or liabilities that may arise from such use.

This data depicts site suitability for the establishment of area-based Short Rotation Woody Crops (SRWC) of hybrid poplar on lands eligible (i.e. non-forested) for afforestation across Canada. Determining the feasibility of a large-scale afforestation program is one approach being investigated by the Government of Canada to increase Canada's potential to sequester carbon from the atmosphere and/or produce bioproducts and bioenergy. Large-scale afforestation, however, requires knowledge of where it is suitable to establish and grow trees. Spatial models based on Boolean logic and/or statistical models within a geographic information system may be used for this purpose, but empirical environmental data are often lacking, and the association of these data to land suitability is most often a subjective process. As a solution to this problem, a fuzzy-logic modeling approach to assess site suitability for afforestation of hybrid poplar (Populus spp.) and willow (Salix spp.) in Canada was developed. Expert knowledge regarding the selection and magnitudes of environmental variables were integrated into fuzzy rule sets from which estimates of site suitability were generated and spatially presented. The environmental variables selected included growing season precipitation, climate moisture index, growing degree days, the Canada Land Inventory capability for agriculture and elevation. Site suitability is generally defined as the fitness of a given type of land for a particular use. For this assessment, site suitability was defined as the fitness of edaphic, climatic and topographic conditions to establish and grow SRWC species at rates 8 times those of native species. Suitability index values range from 1-100, with higher values corresponding to higher suitability. Approximately 246,000 km2, or 38% of the eligible land base within Canada was found to be suitable for afforestation using Short Rotation Woody Crops (SRWC) of hybrid poplar and/or willow.

This product contains 23,887 digitally restored 1971 census enumeration area (EA) boundaries for the 33 census metropolitan areas (CMA) defined by the 2011 census. EAs are the smallest geographical unit for the release of 1971 census statistics. These EA boundaries can be aggregated to the census agglomeration (CA) or the CMA level. The restored EA boundaries also include 1971 population and dwelling statistics. The areas covered by the restored EA polygons account for 61.8% Canada’s total population in 1971. The purpose of the data set is to provide a historical geography in a digital format. It is intended to be used for reference, mapping and for spatial and time series analyses. These boundaries were produced by Statistics Canada, Environment, Energy and Transportation Statistic Division in 2017. The restored 1971 EA boundaries are provided as a single spatial layer. They are also available in Statistics Canada, 2017, “Restoration of the 1971 enumeration area polygons for Canada's largest cities,” Environmental Statistics: Boundary Files, Catalogue no. 16-510-X.

The objectives of the fish component of the integrated oil sands monitoring program are to provide the necessary data/information to address key questions related to both environmental health of fish populations and fish health issues that can be used to inform human use and consumption. The questions underlying the fish monitoring design are related to the status and health of wild fish populations in the Lower Athabasca River including and in an expanded geographical extent. Data is being collected to provide a baseline against which future changes in fish populations will be evaluated, and compared to data from historical studies to assess change over time to the current state. Data is also being collected in areas of new oil sands development, to develop baseline data for future site-specific comparisons, contribute to an expanded geographic basis of the overall monitoring plan, and contribute to an improved ability to examine cumulative effects.

The fire regime describes the patterns of fire seasonality, frequency, size, spatial continuity, intensity, type (e.g., crown or surface fire) and severity in a particular area or ecosystem. Annual area burned is the average surface area burned annually in Canada by large fires (greater than 200 hectares (ha)). Changes in annual area burned were estimated using Homogeneous Fire Regime (HFR) zones. These zones represent areas where the fire regime is similar over a broad spatial scale (Boulanger et al. 2014). Such zonation is useful in identifying areas with unusual fire regimes that would have been overlooked if fires had been aggregated according to administrative and/or ecological classifications. Fire data comes from the Canadian National Fire Database covering 1959–1999 (for HFR zones building) and 1959-1995 (for model building). Multivariate Adaptive Regression Splines (MARS) modeling was used to relate monthly fire regime attributes with monthly climatic/fire-weather in each HFR zone. Future climatic data were simulated using the Canadian Earth System Model version 2 (CanESM2) and downscaled at a 10 Km resolution using ANUSPLIN for two different Representative Concentration Pathways (RCP). RCPs are different greenhouse gas concentration trajectories adopted by the Intergovernmental Panel on Climate Change (IPCC) for its fifth Assessment Report. RCP 2.6 (referred to as rapid emissions reductions) assumes that greenhouse gas concentrations peak between 2010-2020, with emissions declining thereafter. In the RCP 8.5 scenario (referred to as continued emissions increases) greenhouse gas concentrations continue to rise throughout the 21st century. Provided layer: projected annual area burned by large fires (>200 ha) across Canada for the short-term (2011-2040) under the RCP 8.5 (continued emissions increases). Reference: Boulanger, Y., Gauthier, S., et al. 2014. A refinement of models projecting future Canadian fire regimes using homogeneous fire regime zones. Canadian Journal of Forest Research 44, 365–376.

This dataset is complementary to the Centre for Marine Applied Research’s (CMAR) Current Data and Wave Data County datasets. The Current and Wave data are measured by Acoustic Doppler Current Profiler (ADCPs), which are typically deployed for 1 – 3 months in a single location. This Deployment Information dataset provides details for each ADCP deployment, including the variable(s) measured, the deployment location, and instrument configuration.

This dataset provides information which is currently displayed on the Residential Care Programs Map. The intent of the [Residential Care Programs Map](https://moh.apps.gov.bc.ca/alrc/) is to provide an online resource to assist families searching for all types of care under the Residential Care Regulation, including long term care, community living, hospice, acquired brain injury, mental health, substance use and child and youth residential care. Information is listed by care type, licensee, name of facility, address, city and maximum capacity. This dataset includes both publicly subsidized and private paid facilities. New licensed residential care facilities are added as they become operational. The dataset is updated biweekly.

This dataset provides 30-year, 50-year, and 100 year return levels for small craft harbours in British Columbia, relative to the mean sea level over 1993-2020. The return levels are derived from coastal sea levels for the period from 1993 to 2020, simulated using a high-resolution Northeast Pacific Ocean Model (NEPOM).