In 1998, Fisheries and Oceans Canada (DFO) published an atlas called "Traditional Fisheries Knowledge for the Southern Gulf of St. Lawrence". The document is composed of a series of maps that contain useful information primarily on nearshore fisheries and fish habitat in the eastern shore of New Brunswick, Prince Edward Island and the Gulf Shore of Nova Scotia. It was used as a working tool to assist in the development of integrated coastal zone management plans, resource management plans, and more. Between 1994 and 1997, data collectors and fishery officers interviewed local fishers and industry representatives. The purpose of these interviews was primarily to gain information on local fishing activities and the location of fisheries' resources and their habitats. The data and information was vetted through a process of verification with scientists, fishers, locals, industry representatives, and government officials. Maps were then compiled for 14 commercially important fish species and made publicly available to consult. These include lobster, rock crab, scallop, snow crab, toad crab, herring, mackerel, American plaice, cod, witch flounder (grey sole), hake, halibut, winter flounder, and unspecified groundfish. This data resource also includes the other 27 species originally not included in the atlas.

Cartography of the vegetation cover of Quebec City. The canopy represents the projection on the ground of the tops (crown) of trees (including leaves, branches, and trunks), which is visible from the sky. The data comes from an automated classification of two satellite images covering Quebec City by the pair of World-View-3 and Pléiades satellites acquired in July 2020 (spatial resolution of 31 cm) and from the 2017 Lidar survey of Quebec City.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Effective fisheries and habitat management processes require knowledge of the distribution of areas of high ecological or biological significance. On the Scotian Shelf and Slope, a number of benthic ecologically or biologically significant areas consisting of habitat-forming species such as sponges and deep-water corals have been identified. However, knowledge of their spatial distribution is largely based on targeted surveys that are limited in their spatial extent. We used a species distribution modelling approach called random forest (RF) to predict the probability of occurrence and biomass of sponges, sea pens, and large and small gorgonian corals across the entire spatial extent of Fisheries and Oceans Canada’s (DFO) Maritimes Region. We also modelled the rare sponge Vazella pourtalesi, which forms the largest known aggregation of its kind on the Scotian Shelf. We utilized a number of data sources including DFO multispecies trawl catch data and in situ benthic imagery observations. Most models had excellent predictive capacity with cross-validated Area Under the Receiver Operating Characteristic Curve (AUC) values ranging from 0.760 to 0.977. Areas of suitable habitat were identified for each taxon and were contrasted against their known distribution and when applicable, the location of closure areas designated for their protection. Generalized additive models (GAMs) were developed to predict the biomass distribution of each taxonomic group and serve as a comparison to the RF models. The RF and GAM models provided comparable results, although GAMs provided superior predictions of biomass along the continental slope for some taxonomic groups. In the absence of data observations, the results of this study could be used to identify the potential distribution of sensitive benthic taxa for use in fisheries and habitat management applications. These results could also be used to refine significant concentrations of these taxa as identified through the kernel density analyses. Cite this data as: Beazley, Lindsay; Kenchington, Ellen; Murillo-Perez, Javier; Lirette, Camille; Guijarro-Sabaniel, Javier; McMillan, Andrew; Knudby, Anders (2019). Species Distribution Modelling of Corals and Sponges in the Maritimes Region for Use in the Identification of Significant Benthic Areas. Published July 2023. Ocean Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/356e92f3-5bf3-4810-98b1-3e10cd7742aa

Data set covers metrics and metadata related to wild collected copepods Calanus spp. (C. hyperboreus, C. glacialis, C. finmarchicus) and Metridia longa: - body size in prosome length [PL] - dry weight [DW] - lipid content (oil sac area [OSA] and oil sac volume [OSV]) Spatial coverage: North Atlantic sampling sites - Scotian Shelf (SS) - Gulf of Saint Lawrence (GSL) - Gulf of Maine-Georges Bank-Nantucket Shoals (GoM) - Newfoundland shelf (NFL) Cite this data as: Helenius LK, Head EJH, Jekielek P, Orphanides CD, Pepin P, Plourde S, Ringuette M, Walsh HJ, Runge JA, Johnson CL. Calanus spp. size and lipid content metrics in North Atlantic, 1977-2019. Published September 2022. Ocean Ecosystem Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/72e6d3a1-06e7-4f41-acec-e0f1474b555b

Catch, effort, location (latitude and longitude), and associated biological data from the Eulachon Migration Study Bottom Trawl surveys - South on the coast of British Columbia. Introduction: The Eulachon Migration Study Bottom Trawl survey - South (Eul-S) is part of the in the Eulachon Migration Study Bottom Trawl survey series and took place on the coast of British Columbia. The other survey in this series is the Eulachon Migration Study Bottom Trawl survey – North (Eul-N). The Eulachon Migration Study Bottom Trawl survey - South (Eul-S) was conducted monthly from October 2017 to March 2018 with an additional trip in January 2019 and was funded by the Fisheries and Oceans Canada (DFO) National Rotational Survey Fund. The objective of this survey was learn about the distribution, ecology, and migration times of Eulachon into the Fraser River by observing their spatial and temporal occurrence and biological condition over a wide survey region and over several months. This survey follows a random block design in a targeted depth range between 80 – 200 metres. The sampling units are 2 km by 2 km blocks. Fishing was conducted using the Canadian Coast Guard Research Vessel Neocaligus to tow an American shrimp trawl net (Cantrawl Nets Ltd., Richmond, BC). The horizontal opening of the polypropylene net was estimated to be 34 to 37 feet (10 to 11 m), while the center of the opening had a vertical height of approximately 7 to 9 feet (2 to 3 m). A 0.4” (10 mm) liner was used in the codend. The net was configured with roller gear and 72” (1.8 m) Thyboron Type 2 trawl doors. Tow duration was typically 20 minutes. The standard hours of fishing were 0700 to 1700 hours, depending on sunrise and sunset in winter months. The Eulachon Migration Study Bottom Trawl survey – South was conducted by the Department of Fisheries and Oceans Canada (DFO). The area the survey covered included the Strait of Georgia, Juan de Fuca Strait, and Haro Strait in Pacific Fishery Management areas (PFMA’s) 17-20, 28, 29, and 121. Effort: This table contains information about the survey trips and fishing events (trawl tows/sets) that are part of this survey series. Trip-level information includes the year the survey took place, a unique trip identifier, the vessel that conducted the survey, and the trip start and end dates (the dates the vessel was away from the dock conducting the survey). Set-level information includes the date, time, location, and depth that fishing took place, as well as information that can be used to calculate fishing effort (duration) and swept area. All successful fishing events are included, regardless of what was caught. Catch: This table contains the catch information from successful fishing events. Catches are identified to species or to the lowest taxonomic level possible. Most catches are weighed, but some are too small (“trace” amounts) or too large (e.g. very large Big Skate). The unique trip identifier and set number are included so that catches can be related to the fishing event information (including capture location). Biology: This table contains Eulachon biological data including length, sex, and weight. Information is provided on whether stomachs or teeth were examined, and whether genetics (DNA) samples were collected. Eulachon maturity data, diet data, and teeth presence data are available on request from the data contacts. Additional analyses are ongoing, including histology, fatty acid profiling, and genetic analysis; frozen heads are also available for a future aging project. In addition to the Eulachon biological data, lengths and weights were collected from American Shad. The unique trip identifier and set number are included so that samples can be related to the fishing event and catch information.

This data contains an Index identifying Ontario Base Map map tiles. Eastern and Southern Ontario is covered at a scale of 1:10,000. Northern Ontario is covered at a scale of 1:20,000. We are no longer updating this data. It is best suited for historical research and analysis. This product requires the use of geographic information system (GIS) software.

The basking shark (Cetorhinus maximus), is a species found in Atlantic Canadian waters which is mostly encountered “basking” on the surface waters and sometimes caught accidentally in commercial fisheries. One Pop-up Satellite Archival Tag (PSAT Mk10) from Wildlife Computers was applied to a single female basking shark in September 2008 on a commercial vessel to collect data on depth (pressure), temperature and ambient light level (for position estimation). The basking shark was 610 cm Total Length (curved). The tag released on the pre-programmed date 125 days after deployment. 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 deployment can be obtained upon request from: warren.joyce@dfo-mpo.gc.ca or heather.bowlby@dfo-mpo.gc.ca.

Data from the former Kemptville, Midhurst and Aylmer Districts were compiled in this dataset to show forest areas on private land, managed by the landowner in cooperation with the Ontario Ministry of Natural Resources under the Woodlands Improvement Act (WIA). The WIA allowed for 15-year management agreements between landowners and the MNR to plant and improve woodlands on private land. The WIA was in place from 1966-1999. This data is being provided as-is. No additional data is available, and no updates or maintenance are planned for this dataset.

Monitoring data from DFO invasive species monitoring programs, along with occurrence information from online databases and the scientific literature, have been paired with high resolution environmental data and oceanographic models in species distribution models that predict present-day and project future distributions of 24 non-indigenous species (NIS) on North America`s east coast, and 31 NIS on its west coast. Future distributions were predicted for 2100, under Representative Concentration Pathway 8.5 from the Intergovernmental Panel on Climate Change’s fifth Assessment Report. Present-day and future richness of these species (i.e., hotspots) have been estimated by summing the occurrence probabilities of NIS. This data set includes the present-day and year 2100 species distribution modeling results for each species, and the estimated species richness. Cite this data as: Lyons DA., Lowen JB, Therriault TW., Brickman D., Guo L., Moore AM., Peña MA., Wang Z., DiBacco C. Data of: Updated species distribution models for marine invasive species hotspot identification. Published: November 2023. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/1439dcb3-82a6-40fd-a9a4-8f045b20ff5b

Map illustrating the differences in relative surface temperatures for all small urban areas in Quebec. The relative temperature difference is the temperature difference in the city compared to a nearby wooded area. With a 9-level scale for classifying relative differences in temperature, this map indicates areas that are relatively cooler or warmer within urbanization perimeters. This map is complementary to the * [map of urban heat/fresh islands (ICFU)] (https://www.donneesquebec.ca/recherche/dataset/ilots-de-chaleur-fraicheur-urbains-et-ecarts-de-temperature-relatifs-2020-2022) *. In fact, it covers all areas of urbanization that are not (or only partially) covered by the ICFU card. Thus, the two maps placed side by side allow a complete coverage of all population centers and urbanization perimeters in Quebec. The interval values for each class of temperature difference within the urbanization perimeters also come from the ICFU map: the classification thresholds for the temperature differences of an urbanization perimeter are reproduced from those of the ICFU map for the population center closest to the urbanization perimeter. The production of this data was carried out by the National Institute of Public Health of Quebec (INSPQ) and was funded under the * [Plan for a Green Economy] (https://www.quebec.ca/gouvernement/politiques-orientations/plan-economie-verte) * of the Government of Quebec.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**