The data layer (.tif) presented are the results of using MaxEnt to produce a single species habitat map for Sea Scallop (Placopecten magellanicus) on German Bank (off South West Nova Scotia, Canada). Presence data derived from videos and still images were compared against environmental variables derived from multibeam bathymetry (Slope, Curvature, Aspect and Bathymetric Position Index (BPI)), and backscatter data (principal components: Q1, Q2, and Q3). Results represent a probability of habitat suitability for Sea Scallop on German Bank.Probability of suitability: The probability that a given habitat is suitable for a species based on presence data and underlying environmental variables (i.e. probability of species occurrence).Reference:Brown, C. J., Sameoto, J. A., & Smith, S. J. (2012). Multiple methods, maps, and management applications: Purpose made seafloor maps in support of ocean management. Journal of Sea Research, 72, 1–13. https://doi.org/10.1016/j.seares.2012.04.009Cite this data as: Brown, C. J., Sameoto, J. A., & Smith, S. J. Data of: Distribution of Sea Scallop on German Bank. Published: February 2021. Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/2bb98a09-5daf-42c4-94e8-e5de718b821d

The data layer (.shp) presented is the result of an unsupervised classification method for classifying seafloor habitat on German Bank (off South West Nova Scotia, Canada). This method involves separating environmental variables derived from multibeam bathymetry (Slope, Curvature) and backscatter (principal components: Q1, Q2, and Q3) into spatial units (i.e. pixels) and classifying the acoustically separated units into 5 habitat classes (Reef, Glacial Till, Silt, Silt with Bedforms, and Sand with Bedforms) using in situ data (imagery). Benthoscape classes (synonymous to landscape classifications in terrestrial ecology) describe the geomorphology and biology of the seafloor and are derived from elements of the seafloor that were acoustically distinguishable.Unsupervised classifications (acoustic classifications) optimized at 15 classes using Idrisi CLUSTER method (pixel based)Number representing the benthoscape classes (CLASS) derived from in situ imagery and video (See Brown et al., 2012, Figure 3, Table 1).Benthoscape classes (See Brown et al., 2012, Figure 3).Reference:Brown, C. J., Sameoto, J. A., & Smith, S. J. (2012). Multiple methods, maps, and management applications: Purpose made seafloor maps in support of ocean management. Journal of Sea Research, 72, 1–13. https://doi.org/10.1016/j.seares.2012.04.009Cite this data as: Brown, C. J., Sameoto, J. A., & Smith, S. J. Data of: Benthoscape Map of German Bank. Published: February 2021. Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/b7f81d4a-2cb6-4393-b35b-e536ec63e834

Fecundity of Atlantic herring (Clupea harengus) was estimated within five spawning areas (German Bank, Scots Bay, Seal Island, Southern Shore Nova Scotia, and Eastern Shore Nova Scotia) in Northwest Atlantic Fisheries Organization (NAFO) areas 4WX in 2019 and 2020. The objective of this project was to describe the fecundity-at-size (weight, length, and age) relationships among spawning grounds, compare these relationships to historical fecundity-at-size relationships, and assess the influence of changes in weight-at-age and fecundity over time to the reproductive potential of a unit of spawning stock biomass.Cite this data as: Barrett T. Data of: Fecundity of Herring in Divisions 4WX. Published: September 2021. Population Ecology Division, Fisheries and Oceans Canada, St. Andrews, N.B. https://open.canada.ca/data/en/dataset/e39b1318-c9f7-4686-b5e5-7d838c8ac99a

A goal of the Government of Canada’s Coastal Environmental Baseline Program (CEBP) is to amalgamate historic environmental data from high vessel traffic areas. An extensive DFO biological sampling program was conducted from 1980 to 1981 on Sturgeon and Roberts banks located on the outer Fraser River estuary, BC, Canada. This report collates and simplifies three data sets: water quality and nearshore fish catch previously published as DFO Data Report 340 (Conlin et al.1982), and un- published weight-length (W-L) data for two locations on Sturgeon Bank (Iona and Steveston) and near Westshore Terminals (Coal Port) on Roberts Bank. W-L data were reconstructed from archived computer printouts using Optical Character Recognition methods. Analyses of water quality data indicate that the two banks provided different fish habitats with Sturgeon Bank having a greater freshwater influence. Although Iona area water quality was exposed to sewage outfall from a nearby sewage treatment plant, it appears that fish communities were not different from the other Sturgeon Bank area (Steveston). The fish communities were found to be different between the two banks with Roberts Bank having greater overall abundance and diversity. Interestingly, of the seven fish species used for condition factor analyses, five were found to have lower Relative Condition Factors in the Roberts Bank sampling area.

The St. Anns Bank Marine Protected Area was established in June 2017. Data describing the spatial-temporal patterns and drivers of species movement is essential for evaluating species composition and to gauge the protective capacity of the MPA. Since 2015, an acoustic telemetry receiver array has been deployed and re-deployed annually in St. Anns Bank Marine Protected Area. Each receiver detects tagged fish that swim past and records hourly bottom temperature. Here we provide the bottom temperature data recorded on 46 receivers. Note that in 2021 the array design (mooring positions) changed. Please visit the Ocean Tracking Network data portal for more details (https://members.oceantrack.org/project?ccode=SABMPA).Cite this data as: Pettitt-Wade, H., Jeffery, N.W., Stanley, R.E. Data of: Bottom temperature data from St. Anns Bank MPA acoustic telemetry receivers deployed 2015 to 2022Published: January 2024. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S.https://open.canada.ca/data/en/dataset/910b8e22-2fd1-4ba1-8db6-d16763c7a625

Fisheries and Oceans Canada (DFO) has worked with partners and ocean users to develop a draft conservation network plan for the Scotian Shelf-Bay of Fundy Bioregion. This work led to the 2017 draft conservation network plan. The draft plan was updated after targeted consultations from 2021 to 2022. The latest draft reflects new science information on climate change, updated human-use activities (such as fisheries data), and feedback from consultations.This dataset includes the latest existing and proposed conservation sites in the Scotian Shelf-Bay of Fundy Bioregion. Existing sites:-Marine Protected Areas (MPAs)-Marine refuges-Migratory bird sanctuary, National Wildlife area and National Park with marine componentsProposed sites:-Areas of Interest (AOIs) and their lead agency-Tier 1 sites are a higher priority for implementation because of their ecological characteristics and/or feasibility considerations, such as interest from Rightsholders, other levels of government, marine users and stakeholders. Some of these sites could be selected for advancement by 2030. The lead federal agency is specified for most Tier 1 sites.-Tier 2 sites are also important contributions to the conservation network, but will not be considered for advancement by 2030. Most of these sites require more research and information on ecological features and human uses before implementation.Proposed conservation sites:1 Cobequid Bay2 Southern Bight3 Chignecto Bay4 Salmon Rivers5 Bay of Fundy Horse Mussel Aggregations6 Maces Bay7 Deadmans Harbour8 Bocabec Bay – Midjic Bluff9 Oak Bay10 Tongue Shoal11 Pendleton – Little L’Etete Passage12 Simpsons Island – White Horse Island13 Head Harbour Passage14 Western Passage North15 Western Passage South16 South Campobello17 The Wolves – Wolves Bank18 Northwest Grand Manan19 Long Island Bay – Great Duck Island20 North of Nantucket Island21 Grand Harbour22 Seal Cove – Long Pond Bay23 Southern Head24 Three Islands25 Old Proprietor Shoal – The Prong26 Brier Island27 Lurcher Shoal28 Chebogue29 Eel Bay30 McNutts Island31 Pemsɨk32 LaHave Islands33 Sambro Ledges – Prospect34 Martinique Beach and Musquodoboit Harbour35 St. Mary’s (Napu’saqnuk) River and Estuary36 Country Island37 Canso Ledges – Sugar Harbour Islands38 MacNamaras Island39 Fleur-de-Lis Coast40 Bird Islands41 Ingonish Bays42 Aspy Bay43 Bras d’Or Lake44 Southwest Bank45 Western Jordan Basin46 Georges Bank47 LaHave Basin48 Scotian Gulf49 Central Scotian Slope, Rise and Abyss50 Emerald Basin Extension51 Inner Shelf Sea Pen Field52 Sable Island Bank North53 Sable Island Bank South54 Logan Canyon55 Canso Bank and Channels56 Misaine Bank and Laurentian Channel57 Eastern Shoal58 Cold SeepsBoundaries are preliminary and subject to change following public consultation.

The data in this information product illustrates the boundaries of Alberta's 11 Court of King's Bench Judicial Districts. The boundaries of the Judicial Districts are defined by the Judicial Districts Regulation, Alberta Regulation 117/2010. The Judicial Districts used in this information product were filed in July 14, 2010 and came into effect on November 1, 2010.

The Fisheries and Oceans Canada (DFO) ecosystem surveys consist of research vessel survey data collected to monitor the distribution and abundance of fish and invertebrates throughout the Scotian Shelf, Bay of Fundy and Georges Bank. The surveys follow a stratified random sampling design, and include sampling of fish and invertebrates using a bottom otter trawl. These survey data are the primary data source for monitoring trends in species distribution, abundance, and biological condition within the region, and also provide data to the Atlantic Zonal Monitoring Program (AZMP) for monitoring hydrographic variability. Collected data includes total catch in numbers and weights by species. Length frequency data is available for most species, as are the age, sex, maturity and weight information for a subset of the individual animals. Other data such as ageing material, genetic material, and stomach contents are often also collected, but are stored elsewhere.“Spring” cruises occur in January, February, March and April, and focus on Georges Bank (i.e. 5Z).Cite this data as: Clark, D., Emberley, J. Data of MARITIMES SPRING RESEARCH VESSEL SURVEY. Published January 2021. Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/fecf045a-95a2-4b69-8a40-818649a62716

This dataset was developed to document the procedures for acquiring underwater images in the Banc-des-Américains Marine Protected Area (MPA). Its primary objective is to provide a comprehensive inventory of metadata linked to imagery campaigns that allowed us to conduct a basic characterization of the area, and now that are used for ecological monitoring of the benthic habitats within the MPA.Metadata were collected during imagery surveys conducted since 2012, using three main methods: drop cameras on the crest, baited drop stereoscopic cameras on both the crest and plains, and towed cameras on the plains. For each operation are shared the type of gear used, sampling method, date, geographic coordinates, and acquisition depth.The released dataset contains only descriptive information related to the acquisition of images : file identifier, location, sampling methodology, depth, and technical imaging parameters. It does not include image files themselves, visual content, or the results of image analyses.A systematic quality control is applied to ensure completeness and consistency of the metadata: field format standardization, validation of GPS coordinates, verification of dates and recorded depths. Clear instructions guide the recording of metadata to guarantee their reliability for management and scientific monitoring purposes.

These are derived products of ocean bottom temperature at St. Anns Bank Marine Protected Area (MPA), utilizing outputs from two numerical models: 1) Pseudo-analysis from the Coastal Ice-Ocean Prediction System for the East Coast of Canada (CIOPS-E v2.0.0) at 1/36° horizontal grid developed and implemented operationally at Environment and Climate Change Canada, covering 2016-2023 through combining research and operational runs from this system (https://eccc-msc.github.io/open-data/msc-data/nwp_ciops/readme_ciops_en/); 2) The Global Ocean Physics Reanalysis (GLORYS12v1), a 1/12° data assimilative reanalysis product produced by the Mercator Ocean International and implemented by the CMEMS, spanning from 1993 to 2023 ( https://doi.org/10.48670/moi-00021). The daily bottom temperature data presented here are calculated as daily area averages. The ocean bottom temperature data from the model available here are validated against in-situ observations from the open data (https://open.canada.ca/data/en/dataset/910b8e22-2fd1-4ba1-8db6-d16763c7a625). These products may be used to gain knowledge of ocean bottom temperature changes in the MPA over the past 8 and 30 years.Cite this data as: Casey, M., Hu, X, Tao, J., and Shen, H. Ocean Bottom Temperature Variations from CIOPS-E and GLORYS12 Models at St. Anns Bank. Published: August 2024. Ecosystems and Oceans Science, Maritimes region, Fisheries and Oceans Canada, Dartmouth NS. https://open.canada.ca/data/en/dataset/019f9138-6e3c-4f0e-997e-879e1ec2c42d