The Copper Redhorse (Moxostoma hubbsi) is the only fish whose distribution is exclusively restricted to Quebec. This range is restricted even further to the St. Lawrence River and some of its tributaries.This layer represents the Copper Redhorse critical habitat defined by the analysis of available knowledge and a scientific advice.PurposeThe Copper Redhorse population is in decline due to several threats like habitat degradation, construction of dams, contaminants, exotic or introduced species, recreational activities, commercial fishery, and low water levels. Furthermore, certain biological characteristics of the Copper Redhorse contribute to its vulnerability. The Copper Redhorse population was officialy listed as endangered in Schedule I of the Species at Risk Act in December 2007.Additional InformationCritical habitat for the Copper Redhorse has been identified to the extent possible, based on the best available information. Two workshops held in 2009 and 2010 by Fisheries and Oceans Canada and the Ministère des Ressources Naturelles et de la Faune du Québec, allowed to review the information and take note of the new data to identify habitat use by the Copper Redhorse in the St. Lawrence and Richelieu rivers and later in the Rivière des Prairies and Rivière des Milles Îles. Adult feeding habitat in the St. Lawrence River between Lake Saint-Louis and Lake Saint-Pierre, was identified using modeling based on the telemetric monitoring of habitat use and on twelve habitat variables (for example: depth, current velocity, vegetation density). Also, recent telemetry and historic data confirmed the use of the lower stretches of the Rivière des Prairies and Rivière des Mille Îles. Critical adult feeding habitat is consequently identified as habitat in the fluvial reach between Montreal and Sorel presenting favorable characteristics for the copper redhorse, used in the model.DFO. 2012. Recovery Strategy for the Copper Redhorse (Moxostoma hubbsi) in Canada. Species at Risk Act Recovery Strategy Series. Fisheries and Oceans Canada, Ottawa. xi+60 pp.https://www.registrelep-sararegistry.gc.ca/document/doc1565p/ind_e.cfm

A chlorophyll fluorescence time series was collected at various locations around the coast of Vancouver Island, British Columbia, Canada for monitoring phytoplankton concentrations. A Wetlabs ECO fluorometer was deployed every few months on a schedule depending on season and sensor availability. The instrument hung by a chain attached to the side of the buoy, or dock, depending on location, and measured chlorophyll using the fluorescence emission at 695nm. The instrument also measured turbidity by detecting the scattered light at 700nm. The units had internal batteries and data storage and were programmed to make a group of 5 measurements every 30 minutes. A copper wiper covered the sampling window between groups of measurements to reduce fouling. Times are in UTC unless otherwise stated.

All island polygons. Islands may overlap as there are islands within islands (e.g., a lake on an island contains an island). GNIS_NAME_1 contains the most atomic name for the island. For example, there are 3797 "Haida Gwaii" islands. If the island has not been named as part of a more specific group or with an individual name, "Haida Gwaii" is the GNIS_NAME_1 value. GNIS_NAME_2 and GNIS_NAME_3 values are null. If the island has a more specific name, "Haida Gwaii" moves to GNIS_NAME_2, and the more atomic name, such as "Moresby Island" is the GNIS_NAME_1. If the island has an individual name, belongs to a group, and is part of Haida Gwaii, the same logic of naming from most to least specific applies. For example, GNIS_NAME_1 = "George Island", GNIS_NAME_2 = "Copper Islands", GNIS_NAME_3 = "Haida Gwaii".

This database aggregates basic information on orphaned and abandoned mine sites from participating Canadian jurisdictions, including their name, location, jurisdiciton, and the commodity that was mined. It was originally created in 2012 through the National Orphaned/Abandoned Mines Initiative and has undergone several updates since that time. Data on sites in each jurisdiction is owned and maintained by that jurisdiction. The database includes links to the corresponding records in that jursidiction. While the database includes common informaiton about all sites, there may be discrepancies in the types of data provided about sites in different jurisdictions and data from some jurisdictions may be updated more frequently than others.

The data in this dataset represent an amalgamation of sea turtle sighting, stranding, and entrapment events, mainly near Newfoundland and Labrador (NL), Canada.This document summarises the detection events data for Leatherback (Dermochelys coriacea), Loggerhead (Caretta caretta), and Green (Chelonia mydas) Turtles that has been collected from opportunistic and systematic survey sources, plus stranding and entrapment records, in the waters of NL from 1946 to 2023. To a much lesser extent there are also detection records for the southern Gulf of St. Lawrence. Scotian Shelf, and northeastern U.S. waters.These detection records are mostly derived from opportunistic reports, so there are rarely data for a report that includes measures of the observer effort expended to make the detection, and rarely associated imagery. During DFO aerial surveys there are measures of effort in most cases, enabling the turtle sightings reports to be used in habitat modelling (e.g., Mosnier et al. 2018).Most of the information variables (such as “Date”, “Latitude”, “Longitude”, “Number of Animals”) have been obtained from the detection report. In some cases data for variables such as “Location Reliability”, “ID Reliability”, “Platform”, and “Strand or Entrapment Outcome” were derived from interpretation of the comments associated with the report, if available. For description of the variables in the dataset see the Data Dictionary.References:Mosnier, A., Gosselin, J.-F., Lawson, J., Plourde, S., and Lesage, V. 2018. Predicting seasonal occurrence of leatherback turtles (Dermochelys coriacea) in eastern Canadian waters from turtle and sunfish (Mola mola) sighting data and habitat characteristics. Can. J. Zool. 97: 464-478. https://doi.org/10.1139/cjz-2018-0167

Fish stocking data for recreational fishing purposes. Contains: * stocking data for the past 10 years for species where the purpose of the stocking event was to promote recreational fishing. This is a subset of data from the fish stocking information system. This data can also be obtained through the [Fish ON-Line application](http://www.ontario.ca/fishonline). For information on where stocking occurs for research or rehabilitation purposes, contact a local Ministry of Natural Resources and Forestry district office. Related datasets: * [Ontario waterbody location identifer](https://data.ontario.ca/dataset/ontario-waterbody-location-identifier)

The Fish and Wildlife Enforcement Unit dataset is comprised of the polygons representing Fish and Wildlife Enforcement Units in Alberta. Alberta Public Safety and Emergency Services, Government of Alberta, manages the Fish and Wildlife enforcement services to provide the public and other government departments' information regarding the locations of Fish and Wildlife Enforcement Units throughout the province.

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.

A vector representation of stream networks is a crucial dataset for the modelling the surface water and groundwater components of the hydrologic cycle. For many usages a crucial attribute of the drainage network is a digital topology and hierarchal stream order attribute (e.g., Strahler stream order). In Canada jurisdictional stream networks are available for the provinces and territories and nationally for Canada in the National Hydrological Network (NHN) dataset. Unfortunately, the NHN data lacks the same topological and attribute information that is available for numerous provinces due to standardization for the entire country. For Canada1Water it was also necessary to have a harmonized dataset with the United States, for both the southern transboundary watersheds and the Alaskan watersheds. This report documents the processes completed to upgrade the topological and graph network support for NHN and provide continuous connectivity with US datasets. It also highlights and corrects a number of stream density and stream order issues that occur within Canada across provincial and territorial borders and NTS tiles. All vector processing was completed in RivEX software extension for ArcMap. Following complete topological correction stream classification was assigned and a table of the node graph network developed. Additional work was then completed to normalize stream density particularly amongst low-order streams between British Columbia and the Yukon and amongst local NTS tiles in Quebec and Ontario. Corrected NHN Strahler stream order assignment was validated against a number of provincial and watershed datasets, all of which already have Strahler stream order attributed. These datasets are the same underlying digitized vector data, so there are no differences in node or polyline positions. Strahler stream order assignment validation was only done by visual comparison as due to differences in vector segments a statistical comparison is complicated. The transboundary integrated C1W stream network with complete classification provides a seamless national dataset to support transdisciplinary studies (fisheries, wildlife, health, pesticide and nutrient issues, mining impact, ecosystem restoration, numeric modelling) that involve a knowledge of stream distribution and ranking.

Nekton assemblages in Zostera marina beds and adjacent bare soft-sediments were sampled on the south and eastern shore of Nova Scotia. Sampling gear used were visual snorkel transects and a benthic beam trawl. Fish were identified and size either measured (trawl) or estimated in situ (snorkel transects). Surveys were conducted in mid-July to August in summer of 2013 and 2014 across multiple sampling sites. Multiple replicate transects were conducted at each site. Raw abundances from observations were transformed into young of year (YOY) equivalent abundance, and then into density of each species calibrated to account for the sampling equipment and day/night differences.Cite this data as: Wong, M. C. Data of: Fish and large decapods in eelgrass (Zostera marina) beds on the Atlantic coast of Nova Scotia, Canada. Published: April 2020. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/dbc56f11-4a97-45e7-99f4-71966b51630c