Research surveys targeting Icelandic scallops (Chlamys islandica) have been conducted by Fisheries and Oceans Canada (DFO) at one- or two-year intervals in the Mingan Archipelago (since 1990 in fishing area 16E and since 2004 in fishing area 16F). The main objective of this survey is to assess the status of Icelandic scallop stocks. The study area is situated around the Mingan Archipelago, where scallop beds are sampled at depths ranging from approximately 8 to 136 m, but typically around 40 to 60 m. Sampling is conducted along transects at fixed stations in the study area. Each station is sampled using a lined Digby scallop dredge (20 mm mesh size), towed for roughly 150 m across the seabed. This publication includes three files: the file biometriePetoncle_16, which contains detailed biometric data (species, size, weights and sex) from 2001 to 2025; the file taillePetoncle_16, which provides the size of the individuals sampled from 2010 to 2024; and the file traitPetoncle_16 which contains the abundances and densities per tow from 2004 to 2024. Data on abundances and densities per tow from 2001-2003 is available upon request. This dataset is updated every one to two years as data becomes available. A cleaning of aberrant data has been carried out. However, there is missing data in various columns of the dataset – use the data with caution. If you have any questions please contact DFO.DataManagementSAISB-GestionDonneesDAISS.MPO@dfo-mpo.gc.ca or the author. For certain time periods, associated species are identified and semi-quantitatively counted directly on the sorting table, and the results are presented in the following publication: - https://open.canada.ca/data/en/dataset/7d29bdb1-7e39-43ee-9fb1-bbf33cc9c9b9

Delimitation of the permanent agricultural zone and agricultural inclusions, as illustrated in “Map 2-26: Permanent agricultural zone and agricultural inclusions” of the revised land use and development plan of the City of Laval**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Human activities occurring on land can impact marine coastal ecosystems. Baseline information on the locations and intensity of these activities are critical components of any impact assessment or spatial planning approach seeking to mitigate stress and protect or restore coastal ecosystems. As part of a wider project, land use maps were created for 109 coastal watersheds draining into the Scotian Shelf Bioregion – a biophysical subdivision of Canada’s marine waters in the Maritimes Region of Fisheries and Oceans Canada. Information was compiled from various national and provincial publicly available spatial data sources. Each map provides basic statistics on areal values of different land cover types (such as forested areas, pervious or impervious surfaces, agricultural areas, peatlands, parks and protected areas, wetlands and freshwater bodies), human population density, building locations, and locations of major riverine pour points. This project was funded by Fisheries and Oceans Canada through a Strategic Program for Ecosystem-based Research and Advice (SPERA) grant. Source Guijarro-Sabaniel, J., Kelly, N.E. 2022. Land Use Atlas for Coastal Watersheds in the Maritimes Region. Can. Tech. Rep. Fish. Aquat. Sci. 3494: viii + 135 p. Associated publication Kelly, N.E., Guijarro-Sabaniel, J. and Zimmerman, R., 2021. Anthropogenic nitrogen loading and risk of eutrophication in the coastal zone of Atlantic Canada. Estuarine, Coastal and Shelf Science, 263, p.107630. doi: https://doi.org/10.1016/j.ecss.2021.107630 Cite this data as: Guijarro-Sabaniel, J. Kelly, N.E. Land use atlas for coastal watersheds in the Maritimes Region. Published May 2022. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S.

Geographic Information System (GIS) data with the following mapping layers from the Greenbelt Plan: * outer boundaries * protected countryside and urban river valley designations * specialty crop areas (Niagara tender fruit, grape area and Holland Marsh) * settlement areas (towns, villages and hamlets) * river valley connections. The data also contains associated policy designation mapping.

The attribute table included in the dataset provides some limited metadata information that is specific to each lake. This includes the: * survey year * survey method * original map scale This dataset should be used for discovery of Bathymetry data. It provides no bathymetric information, but allows users to discover where bathymetry data exists and in what format. Related datasets: * [Ontario waterbody location identifer](https://data.ontario.ca/dataset/ontario-waterbody-location-identifier)

The mako shark (Isurus oxyrinchus), is a species found in Atlantic Canadian waters which is encountered in commercial and recreational fisheries. Pop-up Satellite Archival Tags (PSAT) from Wildlife Computers were applied to mako sharks from 2011 to 2013 to collect data on depth (pressure), temperature and ambient light level (for position estimation). Deployments were conducted in Canada on commercial vessels, typically in summer and fall from July to October. Two types of tag models were deployed: Mk10 (N=28), and MiniPAT (N=9) and 28 of 37 tags reported (one female shark was recaptured). The mako sharks tagged ranged in size from 80 cm to 229 cm Fork Length (curved); 13 were female, 17 were male, and 7 were unknown sex. Time at liberty ranged from 0 – 185 days and 6 tags remained on 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.

The Provincial Digital Elevation Model (PDEM) is a general purpose dataset designed to represent true ground elevation and is based on best-available data across the province. This dataset has not been conditioned for any specific application.

The built boundary identifies built-up urban areas across the Greater Golden Horseshoe. It is a fixed line that reflects what was built and on the ground when the Growth Plan came into effect in June 2006. The boundaries are an important implementation and monitoring tool for the Growth Plan for the Greater Golden Horseshoe. The built boundary will allow the province and others to measure intensification and redevelopment within the built-up area, and also allow us to monitor suburban development outside the built-up area. The built boundary was released in its final form on April 2, 2008, along with the methodology used to create it. This product requires the use of GIS software. *[GIS]: geographic information system

The dataset identifies the location and types of Federal Land. These polygon boundaries should be verified using Federal Crown Land Survey Records and/or title searched at the local Land Registry Office. This data set may not include all Federally owned lands. Official GEO title: Federal Land Other

The Nova Scotia Lake Survey program is a partnership initiative between the Department of Environment and Climate Change and the Department of Fisheries and Aquaculture to inventory lakes throughout the province determining baseline water quality, in support of both sport fisheries and water resource management areas. The following weblink connects to a Department of Environment and Climate Change web map that includes the locations of the monitored lakes within the province and an alternative method for downloading the same lake chemistry dataset: http://nse.maps.arcgis.com/apps/webappviewer/index.html?id=7ded7a30bef44f848e8a4fc8672c89bd"