Bay Scale Assessment of Nearshore Habitat Bras d'Or Lake - Chapel Island 2008 data is part of the publication Bay Scale Assessment of Nearshore Habitat Bras d'Or Lakes. A history of nearshore benthic surveys of Bras d’Or Lake from 2005 – 2011 is presented. Early work utilized drop camera and fixed mount sidescan. The next phase was one of towfish development, where camera and sidescan were placed on one platform with transponder-based positioning. From 2009 to 2011 the new towfish was used to ground truth an echosounder. The surveys were performed primarily in the northern half of the lake; from 10 m depth right into the shallows at less than 1 m. Different shorelines could be distinguished from others based upon the relative proportions of substrate types and macrophyte canopy. The vast majority of macrophytes occurred within the first 3 m of depth. This zone was dominated by a thin but consistent cover of eelgrass (Zostera marina L.) on almost all shores with a current or wave regime conducive to the growth of this plant. However, the eelgrass beds were frequently in poor shape and the negative impacts of commonly occurring water column turbidity, siltation, or possible localized eutrophication, are suspected. All survey data were placed into a Geographic Information System, and this document is a guide to that package. The Geographic Information System could be used to answer management questions such as the placement and character of habitat compensation projects, the selection of nearshore protected areas or as a baseline to determine long term changes. Vandermeulen, H. 2016. Video-sidescan and echosounder surveys of nearshore Bras d’Or Lake. Can. Tech. Rep. Fish. Aquat. Sci. 3183: viii + 39 p. Cite this data as: Vandermeulen H. Bay Scale Assessment of Nearshore Habitat Bras d'Or Lake - Chapel Island 2008. Published May 2022. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S.

To identify areas of high residency, fine-scale tracking data from individual animals and coarser, short-term movement patterns of herds were analyzed. Individual radio-tracking was assessed from 2001 to 2005 and herd visual tracking was assessed from 1989 to 2008. Data was collected by two research teams: GREMM (Groupe de recherche et d’éducation sur les mammifères marins) and Fisheries and Océans Canada (DFO). Areas of high residency were determined using net displacement speed of herds and they were defined as adjacent cells where 50% of the herds travelled at or below a threshold speed. Areas of high residency do not represent the general distribution of the beluga whale and no association between these areas and specific biological functions could be established. The exact delimitation of these areas can change according to the definition criteria used in the analysis. Therefore, the marginal cells are not necessarily indicative of lower habitat quality. Data source: Lefebvre, S., Michaud, R., Lesage, V. and Berteaux, D. (2012). Identifying high residency areas of the threatened St. Lawrence beluga whale from fine-scale movements of individuals and coarse-scale movements of herds. Mar. Ecol. Prog. Ser. 450: 243–257.

The greenland shark (Somniosus microcephalus), is a species found in Atlantic Canadian waters which is occasionally encountered in commercial fisheries. Pop-up Satellite Archival Tags (PSAT) from Wildlife Computers were applied to greenland sharks from 2006 to 2009 to collect data on depth (pressure), temperature and ambient light level (for position estimation). Deployments were conducted in Canada on commercial vessels throughout the year and in Cumberland Sound (Pangirtung) on a scientific expedition in April 2008. A variety of tag models were deployed: PAT 4 (n=1) and Mk10 (N=15) and 14 of 16 tags reported. Greenland sharks tagged ranged in size from 250 cm to 549 cm Total Length (curved); 3 were female, 9 were male, and 4 were of unknown sex. Time at liberty ranged from 48 – 350 days and 9 tags remained on the sharks for the programmed duration. Raw data transmitted from the PSAT’s after release was processed through Wildlife Computers software (GPE3) to get summary files, assuming a maximum swimming speed of 2m/s, NOAA OI SST V2 High Resolution data set for SST reference and ETOPO1-Bedrock dataset for bathymetry reference. The maximum likelihood position estimates are available in .csv and .kmz format and depth and temperature profiles are also in .csv format. Other tag outputs as well as metadata from the deployments can be obtained upon request from: warren.joyce@dfo-mpo.gc.ca or heather.bowlby@dfo-mpo.gc.ca.

Bay Scale Assessment of Nearshore Habitat Bras dOr Lake - Malagawash 2007 2008 data is part of the publication Bay Scale Assessment of Nearshore Habitat Bras d'Or Lakes. A history of nearshore benthic surveys of Bras d’Or Lake from 2005 – 2011 is presented. Early work utilized drop camera and fixed mount sidescan. The next phase was one of towfish development, where camera and sidescan were placed on one platform with transponder-based positioning. From 2009 to 2011 the new towfish was used to ground truth an echosounder. The surveys were performed primarily in the northern half of the lake; from 10 m depth right into the shallows at less than 1 m. Different shorelines could be distinguished from others based upon the relative proportions of substrate types and macrophyte canopy. The vast majority of macrophytes occurred within the first 3 m of depth. This zone was dominated by a thin but consistent cover of eelgrass (Zostera marina L.) on almost all shores with a current or wave regime conducive to the growth of this plant. However, the eelgrass beds were frequently in poor shape and the negative impacts of commonly occurring water column turbidity, siltation, or possible localized eutrophication, are suspected. All survey data were placed into a Geographic Information System, and this document is a guide to that package. The Geographic Information System could be used to answer management questions such as the placement and character of habitat compensation projects, the selection of nearshore protected areas or as a baseline to determine long term changes. Vandermeulen, H. 2016. Video-sidescan and echosounder surveys of nearshore Bras d’Or Lake. Can. Tech. Rep. Fish. Aquat. Sci. 3183: viii + 39 p. Cite this data as: Vandermeulen H. Bay Scale Assessment of Nearshore Habitat Bras d'Or Lake - Malagawash 2007 - 2008. Published May 2022. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S.

The objective of this project was to locate the mixing zones in the coastal environment on the north shore of the lower estuary, which are caused by the friction of the waters on the bottom and measure the effects of these mixing zones on the modification of the water bodies and the productivity potential of adjacent areas, using phytoplankton biomass and size structure as an indicator of productivity. Temperature and salinity profiles were measured using CTD and water sampling was done with a Niskin bottle to try to detect the signature of the mixture and to determine if nutrient salts and/or productivity are greater in adjacent areas. Sampling took place in 3 outings from 3 stations organized in a 100 NN transect which were carried out at the start of the season (June 30), mid-season (August 16) and end of the season (October 9). The transects were each composed of three stations ranging from 10 m depth near the coast to 50 and 75 m, depending on the transect, moving away from the coast. Samples were collected for nutrients and phytoplankton biomass (> 0.7 µm and > 5 µm) analysis at depths of 1, 10, 25 and 50 m. The optical transparency of water was also measured by Secchi disk. The first file provided “donnees_profils_data” is a summary of the CTD profils of every station. The second file “donnees_discretes_discret_data” contains the results of the water sample analysis. The file “Identification_station_identification” describe the repartition of consecutives among stations. This project was funded by DFO Coastal Environmental Baseline Program under Canada’s Oceans Protection Plan. This initiative aims to acquire environmental baseline data contributing to the characterization of important coastal areas and to support evidence-based assessments and management decisions for preserving marine ecosystems.

__The link: *Access the data directory* is available in the section*Dataset Description Sheets; Additional Information*__. **The forest maps in the second inventory** are available at a scale of 1/20,000. They cover almost all of the territory south of the 52nd parallel. Each file covers an area of approximately 250 km2. These digital cards correspond to the black and white paper cards with a dimension of 125 cm X 75 cm that have been scanned. They illustrate forest stands. They were prepared from the photo-interpretation of aerial photos on a scale of 1/15,000. Main components: * outline of forest stands; * sub-groupings of species in all stands; * type of vegetation (forest species, density, height and stage of development, origin); * age class; * disturbances; * nature of the terrain (peatlands, gravel, etc.); * nature of the terrain (peatlands, gravel, etc.); * nature of the terrain (peatlands, gravel, etc.); * land types (peatlands, gravels, etc.); * territorial subdivisions; * hydrography; * transport network and bridges; * topography (level curves); * topography (level curves); * slope classes; * class of defoliation.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Point layer of drop points (interconnection between the bus access network and the urban transport network) of the Shawinigan Public Transport Authority (RTCS) on the territory of the city of Shawinigan. [Link to the complete Isogeo sheet] (https://open.isogeo.com/s/b6da64af30234cbda2afed3972a5fc3e/Urd8YxfJdWSzGaUmhHFMY60vx14s0/r/bcea85957baf49e0a437008c17909a34?lock)! [Shawinigan logo] (https://jmap.shawinigan.ca/doc/photos/LogoShawinigan.jpg)! [RTCS logo] (https://jmap.shawinigan.ca/doc/photos/RTCS-Copie.jpg) **Attributs** * `objectid` (`integer`): * `address` (`char`): Address * `no_embarkation` (`char`): Boarding number**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

PURPOSE: To provide a permanent repository of key data series necessary to build a range-wide American eel stock assessment. DESCRIPTION: This collection presents data associated with the following report: Cairns, D.K. 2020. Landings, abundance indicators, and biological data for a potential range-wide American eel stock assessment. Canadian Data Report of Fisheries and Aquatic Science. No. 1311: v + 180 pp. Much of the data collection is from the Atlantic Provinces of Canada, particularly the Southern Gulf of St. Lawrence. The collection also includes data from elsewhere in the American eel's range in Canada, and also the United States and the Caribbean Basin. Files in the collection are as follows. Cairns2020_AnnexA_ReportTables.xlsx: This Excel file (file size 756 kb) contains all 37 tables in Cairns (2020) exactly as they appear in the report. Cairns2020_AnnexB_EelLengthsAgesEfishingRecords.xlsx: This Excel file (file size 3.1 mb) contains 20,047 records of American eel lengths and other biological data from the Canadian Atlantic Provinces, 1983-2017. Records include weights of 8,915 eels and ages of 2,212 eels. Records of 3,224 electrofishing sessions in the Miramichi River, New Brunswick, 1952-2019, and records of 2,590 electrofishing sessions in the Restigouche River, New Brunswick, 1972-2019 are included. Cairns2020_AnnexC_EelLengthsAgesDataDefinitions.csv: This .csv file (file size 4 kb) gives data definitions in English and French for the table of eel lengths and other biological data that is contained in Cairns2020_AnnexB_EelLengthsAgesEfishingRecords.xlsx and in Cairns2020_AnnexD_EelLengthsAges.csv. Cairns2020_AnnexD_EelLengthsAges.csv: This file (file size 2.0 mb) presents in .csv format the table of eel lengths and other biological data that is also presented in Cairns2020_AnnexB_EelLengthsAgesEfishingRecords.xlsx. Cairns2020_AnnexE_EelEFishingDataDefinitions.csv: This .csv file (file size 2 kb) gives data definitions in English and French for the table of eel electrofishing data that is contained in Cairns2020_AnnexB_EelLengthsAgesEfishingRecords.xlsx and in Cairns2020_AnnexD_EelLengthsAges.csv. Cairns2020_AnnexF_EelEFishing.csv: This file (file size 314 kb) presents in .csv format the table of eel electrofishing data that is also presented in Cairns2020_AnnexB_EelLengthsAgesEfishingRecords.xlsx. Cairns2020_AnnexG_OtolithImageMetadata.csv: This .csv file (file size 2 kb) provides metadata for the collection of eel otolith images. Files with names starting with EelOtos . . . . : These .tif, .jpg, and .bmp image files are in zipped format with a summed size of 5.3 gb. The files give magnified photos of 1,838 eel otoliths that have been prepared for age reading. Samples are from the Atlantic Provinces of Canada. Individual otolith codes in Cairns2020_AnnexB_EelLengthsAgesEfishingRecords.xlsx and in Cairns2020_AnnexC_EelLengthsAgesDataDefinitions.csv match the codes embedded in otolith image filenames. PARAMETERS COLLECTED: American eel landings, number caught, and effort of commercial and research fishing gear. American eel lengths, ages, sex and other biological data and sampling locations. NOTES ON QUALITY CONTROL: All keypunched records of landings, densities, and other data were verified against original sources. Landings and abundance indices were reviewed in a Department of Fisheries and Oceans scientific workshop and corrected as necessary. Length and age data were examined by length-weight and length age plots and implausible records were discarded. PHYSICAL SAMPLE DETAILS: No physical samples SAMPLING METHODS: Landings are from government fisheries agencies. Abundance indices are from commercial fyke, spear, and trap catch per unit effort, and from research ladder counts and electrofishing records. Mean elver lengths are compiled from published literature Sex ratios are compiled from published literature Locations of biological and genetic sampling are compiled from published literature American eel lengths are total length of live specimens. Ages are from otolith annulus readings Electrofishing records are from backpack electrofishing surveys in wadeable waters USE LIMITATION: To ensure scientific integrity and appropriate use of the data, we would encourage you to contact the data custodian.

Significant climate change impacts are highly likely in all Canadian marine and freshwater basins, with effects increasing over time (DFO 2012). Climate models project that ecosystems and fisheries across Canada will be disrupted into the foreseeable future (Lotze et al. 2019; Bryndum-Buchholz et al. 2020; Tittensor et al. 2021; Boyce et al. 2024). Despite its imminence, climate change is infrequently factored into Canada’s primary marine conservation strategies, such as spatial planning (O’Regan et al. 2021) or fisheries management (Boyce et al. 2021; Pepin et al. 2022). The Climate Risk Index for Biodiversity (CRIB) was developed to assess climate risk for marine species in a quantitative, spatially explicit, and scalable manner, supporting climate-informed decision-making. It has been used to evaluate climate risks for marine life globally (Boyce et al. 2022), regionally (Lewis et al. 2023; Boyce et al. 2024; Keen et al. 2023), for fisheries (Boyce et al. 2024), and in support of spatial conservation planning (Keen et al. 2023). This dataset contains climate vulnerability and risk estimates from the CRIB framework adapted to consider warming at both the sea surface and its bottom for 145 marine species of conservation or fisheries interest across Canada’s marine territory. Climate risk is available at a 0.25-degree resolution under two contrasting emission scenarios to 2100. For each species, location, and scenario, 12 climate indexes, three vulnerability dimensions, and an overall vulnerability and risk score are provided. The accompanying report describes the data, methods, and workflow used to calculate risk. This report also guides the interpretation of these data to inform and support climate-informed decision-making in Canada.

This is a legacy product that is no longer supported. It may not meet current government standards. Canada3D is a digital elevation model (DEM) produced by the Canadian Forestry Service, Ontario region. The DEM consists of an ordered array of ground elevations providing coverage of the Canadian landmass. It has been derived from the cells of the Canadian Digital Elevation Data (CDED) at the 1:250 000 scale. Canada3D is available in two levels of detail: grids regularly spaced at 30 or 300 arc seconds. Canada3D 30 and 300 are recorded separately in ASCII format. The elevation values are expressed in metres with respect to mean sea level (MSL), in accordance with the North American Datum of 1983 (NAD83).