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.

All fundamental watershed polygons generated from watershed boundary lines, bank edges, delimiter edges, coastline edges, and administrative boundary edges

All bank edges (of rivers, lakes, and wetlands), delimiter edges, glacier edges, and administrative boundary edges. These are the linear features that makeup the polygonal waterbodies

This line outlines the basic survey route included in the survey counts. This route is the best access to areas that can be surveyed from shore.

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

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

This polygon outlines the basic area included in the survey counts. This area is the best approximation of the mudflat that can be surveyed from shore and is exposed at tide tide height of 3.5 m, based on tidal predictions at Point Atkinson, British Columbia.

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.

Food Banks is a point dataset identifying food banks in British Columbia.

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