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.

Each summer, environmental community groups collect important data to determine if groupings of fish, shrimp and crab – what is called a community- can be used as an indicator of the health status of bays and estuaries. Sampling was conducted from May through September for the first years then from June through August. In 2018 and 2019, the sampling was conducted just once in each estuary. Community group members and staff sample six stations once a month in their designated estuary. Fish, shrimps and crabs are collected with a beach seine net and later released live back to the water once identified and counted. From this, the community groups provide important information to Fisheries and Oceans Canada, including: - identification and numbers of fish, shrimp and crab species; - water conditions and samples; - information on aquatic plants; - sediment samples. With this information, Fisheries and Oceans Canada scientists working with government agencies and universities can conduct analyses to determine the suitability of indicators to assess the health of bays and estuaries. PARAMETERS COLLECTED: Parameters: abundance, species richness, species developmental stage (young-of-the-year or adult), water temperature, water salinity, water dissolved oxygen, dissolved inorganic nutrient (nitrate, nitrite, phosphate), sediment % organic content, sediment % humidity content and sediment mean grain size, % submerged aquatic vegetation cover NOTES ON QUALITY CONTROL: Data entry into Excel and first quality control verification is done by CAMP summer students. A second quality control verification is done by DFO staff. See publ # 2823 attached to this record. In 2018, the historical data was migrated into a relationship database. From this year on, annual data will be entered into the database using a custom application. The application front end has numerous QC elements built-in. SAMPLING METHODS: Please see the following URL for sampling details: http://www.dfo-mpo.gc.ca/Library/319437.pdf

A building is a structure that has a roof and walls and stands more or less permanently in one place. Small buildings have only their location recorded. A 'building to scale' is a structure that has one dimension larger than 50 metres for the 1: 20,000 scale and larger than 30 metres for the 1: 10,000 scale. Their extents are recorded. This product requires the use of geographic information system (GIS) software.

As the COVID-19 pandemic spreads, researchers and health professionals have noted large differences in the impact that the infection has on individuals. Whereas some remain asymptomatic and unaware of their infection or experience only mild symptoms, others require hospitalization, ventilation, and may even die. As research evidence accumulates, both nationally and internationally, it appears that certain health characteristics, such as obesity or the presence of chronic conditions, increase the risk of severe outcomes among those who are infected with the novel coronavirus. To better understand which segments of the Canadian population may be vulnerable to severe health outcomes related to COVID-19, Statistics Canada and the Public Health Agency of Canada have worked collaboratively to build an index of underlying health conditions in the adult household population. Using information from the 2017/2018 Canadian Community Health Survey, new data tables released today estimate the proportion of the adult household population who may be at greater risk of severe health outcomes related to COVID-19 due to the presence of underlying health conditions.

Canada's National Forest Inventory (NFI) sampling program is designed to support reporting on forests at the national scale. On the other hand, continuous maps of forest attributes are required to support strategic analyses of regional policy and management issues. We have therefore produced maps covering 4.03 × 106 km2 of inventoried forest area for the 2001 base year using standardised observations from the NFI photo plots (PP) as reference data. We used the k nearest neighbours (kNN) method with 26 geospatial data layers including MODIS spectral data and climatic and topographic variables to produce maps of 127 forest attributes at a 250 × 250 m resolution. The stand-level attributes include land cover, structure, and tree species relative abundance. In this article, we report only on total live aboveground tree biomass, with all other attributes covered in the supplementary data (http://nrcresearchpress.com/doi/suppl/10.1139/cjfr-2013-0401). In general, deviations in predicted pixel-level values from those in a PP validation set are greater in mountainous regions and in areas with either low biomass or sparse PP sampling. Predicted pixel-level values are overestimated at small observed values and underestimated at large ones. Accuracy measures are improved through the spatial aggregation of pixels to 1 km2 and beyond. Overall, these new products provide unique baseline information for strategic-level analyses of forests (https://nfi.nfis.org) Collection: - **[Canada's National Forest Inventory (NFI) 2006](https://open.canada.ca/data/en/dataset/e2fadaeb-3106-4111-9d1c-f9791d83fbf4)**