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.

Time series of dissolved inorganic nutrients (nitrate, silicate, phosphate) (mmol/m2) at the 3 fixed stations and 46 stations, grouped into transects, of the Atlantic Zonal Monitoring Program (AZMP) under the Quebec region responsibility.The mean integrated nutrient data of 2 strata (0-50 m) et (50-150 m) from the last ten years are displayed as 12 layers, 6 for the June survey (2013-2022, 2020 not sampled) and 6 for the autumn survey (2013-2022). Finally, 2 other layers shows the positions of the fixed stations of the program (Anticosti Gyre, Gaspé Current and Rimouski).Each station is linked with a .png file showing the time series of nutrients and with a .csv file containing all the integrated nutrient data acquired at those stations since the beginning of the program sampling (columns : Station, Latitude, Longitude, Date(UTC), Sounding(m), Depth_min/Profondeur_min(m), Depth_max/Profondeur_max(m), Integrated_Nitrate/Nitrate_intégré(mmol/m²), Integrated_Phosphate/Phosphate_intégré(mmol/m²), Integrated_Silicate/Silice_intégrée(mmol/m²)).PurposeThe Atlantic Zone Monitoring Program (AZMP) was implemented in 1998 with the aim of increasing the Department of Fisheries and Oceans Canada’s (DFO) capacity to detect, track and predict changes in the state and productivity of the marine environment.The AZMP collects data from a network of stations composed of high-frequency monitoring sites and cross-shelf sections in each following DFO region: Québec, Gulf, Maritimes and Newfoundland. The sampling design provides basic information on the natural variability in physical, chemical, and biological properties of the Northwest Atlantic continental shelf. Cross-shelf sections sampling provides detailed geographic information but is limited in a seasonal coverage while critically placed high-frequency monitoring sites complement the geography-based sampling by providing more detailed information on temporal changes in ecosystem properties.In Quebec region, two surveys (46 stations grouped into transects) are conducted every year, one in June and the other in autumn in the Estuary and Gulf of St. Lawrence. Historically, 3 fixed stations were sampled more frequently. One of these is the Rimouski station that still takes part of the program and is sampled about weekly throughout the summer and occasionally in the winter period.Annual reports (physical, biological and a Zonal Scientific Advice) are available from the Canadian Science Advisory Secretariat (CSAS), (http://www.dfo-mpo.gc.ca/csas-sccs/index-eng.htm).Devine, L., Scarratt, M., Plourde, S., Galbraith, P.S., Michaud, S., and Lehoux, C. 2017. Chemical and Biological Oceanographic Conditions in the Estuary and Gulf of St. Lawrence during 2015. DFO Can. Sci. Advis. Sec. Res. Doc. 2017/034. v + 48 pp.Supplemental InformationWater sampling for nutrients analysis is done from Niskin bottles according to AZMP sampling protocol:Mitchell, M. R., Harrison, G., Pauley, K., Gagné, A., Maillet, G., and Strain, P. 2002. Atlantic Zonal Monitoring Program sampling protocol. Can. Tech. Rep. Hydrogr. Ocean Sci. 223: iv + 23 pp.

Fish holding areas (i.e. areas of concentration of salmon and herring, both adult and juvenile) in coastal British Columbia. Attribute information includes overall relative importance, species of salmon and other fish observed at various times throughout the year as well as information on spawning activity and larvae. CRIMS is a legacy dataset of BC coastal resource data that was acquired in a systematic and synoptic manner from 1979 and was intermittently updated throughout the years. Resource information was collected in nine study areas using a peer-reviewed provincial Resource Information Standards Committee consisting of DFO Fishery Officers, First Nations, and other subject matter experts. There are currently no plans to update this legacy data.

This dataset contains the total annual releases of radionuclides released directly to the environment through direct discharge (i.e. releases to water) from uranium mines and mills in Canada.Note that there is no stack emissions for the uranium mines and mills.

The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 120 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period.

Atlantic herring. Concentration, breeding areas and larval retention areas of Atlantic Herring in the St. Lawrence Estuary.Data extracted from the Fish Habitat Management Information System (FHAMIS).Concentration areas, spawning sites and breeding areas of Atlantic herring according to a literature review of documents produced between 1977 and 1998.

This record contains satellite-sensed chlorophyll-a concentration images of the Canadian Beaufort Sea at 1.1 km resolution. The dataset consists of 276 images, aggregated into two-week composites by calculating the mean value at each pixel, comprising years 1998 through 2020.The dataset spans two ocean colour sensors, MODIS-Aqua and SeaWiFS. The Arctic Ocean Empirical algorithm was used to calculate chlorophyll-a concentration, after images were corrected for atmospheric effects using the NIR-SWIR switching algorithm, and Remote Sensing Reflectance (Rrs) were produced. A linear transform in log-10 space was applied to the chlorophyll-a concentration measured by SeaWiFS to improve its correlation with chlorophyll-a concentration measured by MODIS-Aqua.The months of October through February were excluded from these datasets as the sun angle in winter is too low (e.g., polar night) for reliable data to be acquired, and the region is mostly covered in sea ice. For further details, see Galley et al., 2022.

Seasonal and annual multi-model ensembles of projected change (also known as anomalies) in sea ice concentration based on an ensemble of twenty-eight Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models are available for 1900-2100. Sea ice concentration is represented as the percentage (%) of grid cell area. Therefore, projected change in sea ice concentration is with respect to the reference period of 1986-2005 and expressed as a percentage (%). The 5th, 25th, 50th, 75th and 95th percentiles of the ensembles of sea ice concentration change are available for the historical time period, 1900-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100. Twenty-year average changes in sea ice concentration (%) for four time periods (2021-2040; 2041-2060; 2061-2080; 2081-2100), with respect to the reference period of 1986-2005, for RCP2.6, RCP4.5 and RCP8.5 are also available in a range of formats. The median projected change across the ensemble of CMIP5 climate models is provided. 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.

This theme includes data from all metal monitoring stations in the waters of rivers in Quebec and the St. Lawrence River since 2008. It includes the stations of the “Special Metals” tour, the stations of Réseau-Fleuve and Réseau-Rivières as well as the stations of the “Grand Nord” project.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Important sites: reproduction, feeding and concentration area. Data extracted from the Fish Habitat Management Information System (FHAMIS) according to a literature review of documents produced between 1976 and 1999.