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.

This dataset represents the radioisoptopic tracers for selected rocks in the province of Saskatchewan, Canada.This dataset represents the compilation of radioisoptopic tracers for selected rocks in the province of Saskatchewan, Canada.  **Please Note – All published Saskatchewan Geological Survey datasets, including those available through the Saskatchewan Mining and Petroleum GeoAtlas, are sourced from the Enterprise GIS Data Warehouse. They are therefore identical and share the same refresh schedule.

This dataset provides the background radiation dose results from Health Canada’s Canadian Radiological Monitoring Network (CRMN) monitoring sites. More information about the CRMN network can be found on the Health Canada website (see link below).This background radiation data contains both “monitoring” and “transit” dosimeters starting in 2016. The historical background radiation dose data can be found on the Open Data portal. A transit dosimeter is sent along with the monitoring dosimeter to determine if there is a significant dose recorded by the dosimeter while it is in transit to the sampling station. The transit dosimeter is shipped out with a station monitor, and shipped back with the station monitor from the previous quarter. The monitoring dosimeters are deployed over a longer time (around three months) than the transit dosimeters (around 3 weeks). This difference largely explains the lower recorded dose values for the transit dosimeter. The results provided for the monitoring and transit dosimeters are expressed as ambient dose equivalent to a cesium source, in units of millisieverts (mSv). The measured dose rate is reported in mSv/day. The external dose can be attributed almost exclusively to natural radiation (of terrestrial and cosmic origin) with fluctuations based on several factors including location, soil characteristics, and seasonal changes. The map shows the approximate sampling location for each monitoring station. Stations are found within the associated location range.

The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. The Water quantity in Canadian rivers indicator provides a national summary of the annual water quantity status in rivers across Canada from 2009 to 2023 and by monitoring station in 2023. The indicator also offers trends that provide an assessment of whether there have been significant observed changes over time in water quantity, of very-high and very-low flows, at monitoring stations across Canada for a 50-year period from 1974 to 2023. 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

This dataset provides the results obtained by Health Canada’s Radiological Monitoring Network (CRMN) for the tritium activity concentration in drinking water originating from the water treatment plants in Ottawa, ON. More information about the CRMN network can be found on the Health Canada website (see link below). The results provided are the tritium activity concentration in units of becquerels per litre (Bq/L). Although ensuring 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 a Maximum Acceptable Concentration (MAC) for tritium in drinking water of 7000 Bq/L. The measured activity concentrations of tritium in drinking water are well below this guideline value.The map shows the approximate sampling location for each monitoring station. Stations are found within the associated location range.

Description:Spatial information on the distribution of juvenile Pacific salmon is needed to support Marine Spatial Planning in the Pacific Region of Canada. Here we provide spatial estimates of the distribution of juvenile fish in the Strait of Georgia for all five species of Pacific salmon. These estimates were generated using a spatiotemporal generalized linear model and are based on standardized fishery-independent survey data from the Strait of Georgia mid-water juvenile salmon mid-water trawl survey from 2010 to 2020. We provide predicted catch per unit effort (CPUE), year-to-year variation in CPUE, and prediction uncertainty for both summer (June–July) and fall (September–October) at a 0.5 km resolution, covering the majority of the strait. These results show that the surface 75 m of the entire Strait of Georgia is habitat for juvenile salmon from June through early October, but that distributions within the strait differ across species and across seasons. While there is interannual variability in abundances and distributions, our analysis identifies areas that have consistently high abundances across years. The results from this study illustrate juvenile habitat use in the Strait of Georgia for the five species of Pacific salmon and can support ongoing marine spatial planning initiatives in the Pacific region of Canada.Methods:Juvenile Salmon Survey DataThis analysis is based on surveys conducted between 2010 and 2020. Sets that lasted between 12 and 50 minutes and at depths less than or equal to 60 m (head rope depth) were included. The resulting survey dataset consists of 1588 sets. The analysis included all five species of Pacific salmon. For pink salmon, only even year surveys were included as they have a two-year life cycle and are effectively absent from the Strait in odd years.Geostatistical model of salmon abundance and PredictionsWe estimated the spatial distribution and abundance of each species of Pacific Salmon using geostatistical models fit with sdmTMB (Anderson et al. 2022). For each species, we modelled the number of individuals caught in a set, at a location and time using a negative binomial observation model with a log link. Predictions were made for each survey season (summer and fall) in each year from 2010 to 2020 over a 500 m by 500 m grid based on a 3 km buffer around the outer concave hull of the trawl coordinates. The concave hull was calculated using the ‘sf_concave_hull’ function from the sf package using a concavity ratio of 0.3, and excluding holes. Predictions were made as catch per unit effort (CPUE, for 60 minutes) for tows conducted in the surface waters (i.e., head rope at 0 m). Continuous estimates are provided at a 0.5 km resolution throughout the Strait of Georgia. These estimates consist of 1) mean catch per unit effort (CPUE), 2) year-to-year coefficient of variation (CV) of CPUE as a measure of the temporal variability, 3) binned biscale measures of mean vs. CV of CPUE to distinguish areas where abundance is consistently high vs. areas where it is high on average, but with high year-to-year variability, and 4) mean standard error in CPUE as a measure of uncertainty.See Thompson and Neville for full method details.Uncertainties:Although the models had relatively low uncertainty and the estimated spatial patterns reflected the spatial and temporal variation in CPUE in the surveys, it is important to understand the limitations of these model predictions. Because juvenile salmon are often aggregated, there is high variability in the CPUE in the survey data. Our model predictions represent the geometric mean CPUE and so are an average expectation, but do not reproduce the high inter-tow variability that is present in the survey data. Spatially, our predictions have low uncertainty in areas that are central within the standard survey track line. However, uncertainty is higher on the margins of the survey area, where there are fewer sets to inform those predictions.Data Sources:Juvenile salmon survey database from Salmon Marine Interactions Program, REEFF, ESD, Pacific Biological Station.Data is also available through Canadian Data Report of Fisheries and Aquatic Sciences publications.

The Fisheries Contact Boundaries dataset is comprised of all the polygons that represent the Environment and Protected Areas Fisheries Contact Boundaries within the Province of Alberta. The dataset is to help Government of Alberta Staff and external consultants to determine which Biologist is responsible for and has authority over Research Licenses (RL-PAAS and traditional RLs), FWMIS Data Requests, and other Fisheries Management approvals within that region. Please refer to the metadata included with the data for full entity attribute information.

The Nova Scotia Hydrographic Network is an enhanced version of the Nova Scotia Topographic Database's Water Features theme. This dataset includes network spines for connectivity of water flow and various attribution for flow direction, priority of water flow and toponymic objects where applicable.

This dataset contains the total annual releases of radionuclides released directly to the environment through stack emissions from facilities operated by Canadian Nuclear Laboratories in Canada.This original radionuclide releases dataset of the Canadian Nuclear Laboratories provides results for both stack emissions and direct discharge (i.e. releases to water). The dataset has been divided in two subsets for better discoverability. In this record as its title indicates, you will find the stack emissions results mapped. Make sure to look at the Canadian Nuclear Laboratories direct discharge record in order to obtain a complete picture.Regulatory Oversight Report for Canadian Nuclear Laboratories Sites - 2018: https://nuclearsafety.gc.ca/eng/resources/publications/reports/regulatory-oversight-reports/cnl-report-2018.cfm

NHS as officially accepted by the Council of Ministers, mapping by Transport Canada.