This collection of data summarizes the companies and facilities reporting under the Fuels Information Regulations, No. 1. This dataset includes total fuel volumes, sulphur contents and masses, and companies reporting production and/or importation of liquid fuels originating from crude oils, coal or bituminous sand. The information was provided to Environment and Climate Change Canada under the Canadian Environmental Protection Act, 1999.

The Stanley Park Winter Waterbird Survey, 1995-2019, was made possible through a co-operative effort between Environment and Climate Change Canada, the British Columbia Institute of Technology’s Wildlife and Recreation Program, and the Stanley Park Ecology Society. The intent of the survey is to collect data to estimate the presence, abundance, and distribution of waterbirds along the Stanley Park foreshore in Vancouver, British Columbia, Canada. This dataset is a compilation of species-level occurrence, abundance and distribution data of marine birds collected systematically for the last 23 years (1995-2019) on roughly a weekly basis between September and April each year along the Stanley Park seawall. This long-term dataset of marine birds, has a high value for analysing spatiotemporal trends in marine bird species.

The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. Canada's conserved areas indicators report the amount and proportion of Canada's terrestrial (land and freshwater) and marine area that is recognized as conserved. Well-managed conserved areas are one way to protect wild species and their habitats for present and future generations. Habitat conservation is a measure of human response to the loss of biodiversity and natural habitat. As the area conserved in Canada increases, more lands and waters are withdrawn from direct human development stresses, thereby contributing to biodiversity conservation and improving the health of ecosystems. In turn, healthy ecosystems provide benefits such as clean water, mitigation of climate change, pollination and improved human health. Information is provided to Canadians in a number of formats including: static and interactive maps, charts and graphs, HTML and CSV data tables and downloadable reports. See the supplementary documentation for the data sources and details on how the data were collected and how the indicator was calculated. Canadian Environmental Sustainability Indicators: https://www.canada.ca/environmental-indicators

Attribute data table which contains survey effort values for each season, total bird density, species richness value, species at risk score, and grid cell importance score.

The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. The Greenhouse gas emissions from large facilities indicator reports total greenhouse gas emissions from the largest greenhouse gas emitters in Canada for the 2020 reporting year. The Greenhouse Gas Reporting Program ensures that the greenhouse gas emissions from Canada's largest emitters are tracked and reported. This mandatory reporting contributes to the development, implementation and evaluation of climate change and energy policies and strategies in Canada. Greenhouse gas emissions data reported through the Greenhouse Gas Reporting Program are used to inform the development of estimates of greenhouse gas emissions in Canada in the National Inventory Report, and to support regulatory initiatives. Information is provided to Canadians in a number of formats including: static and interactive maps, charts and graphs, HTML and CSV data tables and downloadable reports. See the supplementary documentation for the data sources and details on how the data were collected and how the indicator was calculated. Canadian Environmental Sustainability Indicators: https://www.canada.ca/environmental-indicators

Wild fish health data (length, weight, gonad size, etc.) are now available for trout perch collected from the Athabasca and Peace Rivers; white sucker collected from the Athabasca River; longnose sucker collected from the Peace River; slimy sculpin collected from the Steepbank River; lake chub from Alice Creek, the Ells and Dover Rivers; and longnose dace from the Mackay River. Contaminants data available for walleye collected from the Athabasca and Peace Rivers. For each of these data sets, upstream reference areas are provided for comparison to downstream developed sites. Reference data are currently being evaluated for variability between years to develop triggers, and these triggers are essential to eventually quantify potential effects at exposed sites. Using existing critical effect sizes developed in the Environmental Effects Monitoring programs for pulp and paper and metal mining effluents, condition endpoints in white sucker were increased within the deposit. Slimy sculpin condition and reproductive endpoints are also exceeding effect sizes downstream of development sites. This data is now being used to predict future fish health endpoints within sites, between sites and relative to reference variability to help assess change in fish health.

As part of a three year study funded by Environment and Climate Change Canada and Natural Resources Canada (ecoENERGY Innovation Initiative, project UOSGQ963; http://www.nrcan.gc.ca/energy/funding/current-fundingprograms/eii/4985) data were gathered to assess and monitor water quality conditions in northeastern British Columbia (BC). Defined in this datasetas portions of the Petitot, Fort Nelson, and Hay River basins, northeast BC is a region subject to both historical conventional oil and gas development and more recent unconventional oil and gas (UOG) development. UOG development in this area is presently focused on the Horn River Basin, Cordova Embayment and Liard Basin shale formations (BCOGC 2010, 2013a). Otherwise, UOG development in BC is centered in the Montney Play, located further south (Adams et al. 2016). Surface water quality assessment and monitoring focused on two river basins in this area: the Petitot River Basin and the Fort Nelson River Basin. Baseline and/or best available surface water quality information was gathered from January 2012 to March 2015. Benthic macroinvertebrates were collected over the same period to complement the water quality study through development of a Canadian Aquatic Biomonitoring Network (CABIN) bioassessment model. Routine Water Quality Monitoring study objectives were to gain a better understanding of water quality conditions in the Petitot River Basin by collecting baseline data using a standard suite of physical-chemical variables and establishing a representative long-term site. Routine water quality sampling sites were selected at locations with known exposure to UOG activity and varying watershed areas; submersible loggers were also installed to collect specific conductance and temperature data. Synoptic Water Quality Monitoring study objectives were to establish patterns of spatial and temporal water chemistry through synoptic water sampling at high and low flow periods and examine potential relationships between UOG activity and surface water quality. Sample sites were selected at microbasin drainage outlets to represent a range of upstream activity and potential contamination. A series of samples were also collected along the mainstem Petitot River at 20-kilometre intervals from the Alberta border to the Highway 77 bridge to capture potential “step-changes” in water chemistry as the river flows through the northeast BC gas production area. Biological Monitoring study objectives were to establish baseline reference conditions based on benthic macroinvertebrate communities and habitat characteristics, and develop a predictive bioassessment model to assess the ecosystem health of streams in the Liard, Fort Nelson, and Petitot River basins exposed to UOG activity. The biological monitoring study design followed CABIN sampling methodology for benthic macroinvertebrate collections in streams and rivers (Environment Canada 2012, http://www.ec.gc.ca/rcba-cabin). Sampling was conducted at 53 reference sites unaffected or minimally influenced by human activity. Thirty five test sites were also selected across a gradient of UOG activity, based on well densities. A preliminary predictive bioassessment model for northeast BC was established and is available through the CABIN website for future assessment of water quality and ecosystem health in the region.

Communities in east Hudson Bay and James Bay are concerned about ecosystem changes observed in recent decades, particularly related to sea-ice conditions, and also about potential impacts of contaminants from long-range atmospheric transport and regional human activities. The Arctic Eider Society’s Community-Driven Research Network (CDRN) was established to measure and better understand large-scale cumulative environmental impacts in east Hudson Bay and James Bay. Building on CDRN collaborations and activities in five communities (Sanikiluaq, Kuujjuaraapik, Inukjuak, Umiujaq, Chisasibi), this Northern Contaminants Program (NCP) community-based project generated new information on metal bioaccumulation that provide a regionally integrated perspective on metal exposure in the marine environment of east Hudson Bay and James Bay.

Water level and discharge data are available from Water Survey of Canada’s Hydrometric Network. The Water Survey of Canada (WSC) is the national authority responsible for the collection, interpretation and dissemination of standardized water resource data and information in Canada. In partnership with the provinces, territories and other agencies, WSC operates over 2500 active hydrometric gauges across the country, maintains an archive of historical information for over 7600 stations and provides access to near real-time (water level and stream flow) provisional data at over 1700 locations in Canada.

With the changing climate conditions, marine traffic along Canada’s coastal regions has increased over the past couple of decades and the need to improve our state of preparedness for oil-spill-related emergencies is critical. Baseline coastal information, such as shoreline form, substrate, and vegetation type, is required for prioritizing operations, coordinating onsite spill response activities (i.e. Shoreline Cleanup Assessment Technique [SCAT]), and providing information for wildlife and ecosystem management. Between 2010 and 2017, georeferenced high-definition videography and photos were collected for various study sites across coastal Canada. The study areas include Beaufort Sea, Mackenzie Delta channels and Banks Island in the western Canadian Arctic; James Bay, Hudson Bay, Nunavik, Resolute Bay, Victoria Strait, Baffin Island and Coronation Gulf in the eastern Canadian Arctic; Labrador, Bay of Fundy and Chedabucto Bay in Atlantic Canada and Kitimat, Haida Gwaii and Burrard Inlet in the northern Pacific. Data was collected during ice-free and low tide conditions (where applicable) between July and September. Low-altitude helicopter surveys were conducted at each study site to capture video of the shoreline characteristics. In addition to acquiring videography, ground-based observations were recorded in several locations for validation. Shoreline segmentation was then carried out by manual interpretation of the oblique videography and the photos aided by ancillary data. This involved splitting and classifying the shoreline vectors based on homogeneity of the upper intertidal zone. Detailed geomorphological information (i.e. shoreline type, substrate, slope, height, accessibility etc.) describing the upper intertidal, lower intertidal, supratidal and backshore zones was extracted from the video and entered into a geospatial database using a customized data collection form. In addition, biological characteristics like biobands, water features, fauna, human use etc. observed along the coast were recorded. The data was also validated through ground samples (when available) and a second interpreter QA (quality analysis) was performed on each dataset (excluding Nunavik) to ensure high quality and consistency. The final dataset contains segments ranging in length from 150 metres to 2500 metres. In total, from 2010 to 2017, within the 14 study sites, about 26,150 km of shoreline were mapped.