Statistically downscaled multi-model ensembles of minimum temperature are available at a 10km spatial resolution for 1951-2100. Statistically downscaled ensembles are based on output from twenty-four Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models (GCM). Daily minimum temperature from GCM outputs were downscaled using the Bias Correction/Constructed Analogues with Quantile mapping version 2 (BCCAQv2). A historical gridded minimum temperature dataset of Canada (ANUSPLIN) was used as the downscaling target. The 5th, 25th, 50th, 75th and 95th percentiles of the monthly, seasonal and annual ensembles of downscaled minimum temperature (°C) are available for the historical time period, 1951-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100. Note: Projections among climate models can vary because of differences in their underlying representation of earth system processes. Thus, the use of a multi-model ensemble approach has been demonstrated in recent scientific literature to likely provide better projected climate change information.

The Agri-Environmental Indicator Risk of Water Contamination by Coliforms provides two variables including the Soil Coliform Load and the Coliform Risk to Water. The Soil Coliform Load indicator is the estimated accumulation of coliforms on the soil and the Coliform Risk to Water indicator is the relative risk of coliforms getting into the waterways. Products in this data series present results for predefined areas as defined by the Soil Landscapes of Canada (SLC v.3.2) data series, uniquely identified by SOIL_LANDSCAPE_ID values.

The health of individual amphibians, amphibian populations, and their wetland habitats are monitored in the oil sands region and at reference locations. Contaminants assessments are done at all sites. Amphibians developing near oil sands activities may be exposed to concentrations of oil sands-related contaminants, through air emissions as well as water contamination. The focus of field investigations is to evaluate the health of wild amphibian populations at varying distances from oil sands operations. Wood frog (Lithobates sylvaticus) populations are being studied in Alberta, Saskatchewan and the Northwest Territories in order to examine the relationship of proximity to oil sands activities and to prevalence of infectious diseases, malformation rates, endocrine and stress responses, genotoxicity, and concentrations of heavy metals, naphthenic acids and polycyclic aromatic hydrocarbons.

The Georgia Basin Boundary dataset displays the extent of the Georgia Basin Ecosystem Initiative undertaken by the federal, provincial, and municipal governments. The objectives of the project are to support initiatives for clean air, clean water, habitat and species protection, and improved environmental decision-making in the Georgia Basin. The dataset consists of both a polygon layer and line layer

Nova Scotia provincial ambient air quality monitoring stations, including locations and other attributes.

Determines the location of Coal Titles within the Province of British Columbia. It is established under the authority of the Petroleum and Natural Gas Grid Regulation. It is defined by a set of UTM coordinates which approximate NAD 27 latitude and longitude positions. Mapsheets are the coarsest component of the grid and approximate 1:250,000 NTS map sheets. E.G. 093A

The Probabilistic Seismic Risk Model for Canada introduces a structured framework of indicators that profile the physical, social and economic dimensions of earthquake risk at the neighborhood scale. Risk metrics include measures of building damage and collapse probability, life safety and expected economic losses. An overall risk rating is also provided which aggregates the physical, social, and economic dimensions of risk. The probabilistic assessment reports information based on both the ‘total’ impact as well as the ‘percentage’ impact. It considers only damage to buildings, and their inhabitants, from earthquake shaking, and therefore does not include damage to critical infrastructure or vehicles. Losses from secondary hazards, such as aftershocks, liquefaction, landslides, or fire following are also not currently included. The information is provided at the approximate scale of Census dissemination areas, and is intended to support planning and emergency management activities in earthquake prone regions. This project is run by the Geological Survey of Canada's Public Safety Geoscience Program. For inquiries related to Canada's Seismic Risk Model, please contact Tiegan E. Hobbs at tiegan.hobbs@nrcan-rncan.gc.ca. If you are looking for our end-user interface or any associated documentation, please visit www.RiskProfiler.ca.

The Eastern Shore Islands was announced as an "Area of Interest" (AOI) in 2018 by the DFO Maritimes region to potentially be considered for a Marine Protected Area under the federal Oceans Act. As part of its mandate for monitoring established and potential conservation areas, DFO Science regularly deploys instruments including conductivity/temperature/depth (CTD) loggers, and other instruments for measuring dissolved oxygen, nutrients, and other chemical ocean properties. This data collection includes temperature and other oceanographic records for the ESI AOI from June 2024 onward. The data are derived from temperature loggers (Hobo Tidbit loggers or similar) and Sea-Bird MicroCATs, but may in future years include current profiles or additional oceanographic data. These data will be used to monitor temperatures in this coastal region to detect any biological shifts associated with temperature and climate fluctuations, and be used to groundtruth oceanographic models. Cite this data as: Jeffery, N., Stanley, R., Pettitt- Wade, H. (2025): Data of: Baseline oceanographic records for the Eastern Shore Islands Area of Interest. Published: September 2025. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/f0020cec-5671-4908-8fdd-11fc097de99d

Location of public transport stops in the City of Rimouski (Citébus and Taxibus) as well as Citébus circuits.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**