The dataset includes timeseries of horizontal current speed and direction, vertical current speed, water depth, and temperature at instrument depth from Acoustic Doppler Current Profiler (ADCP) moorings. Data were collected as part of a multiyear effort lead by Fisheries and Oceans Canada (DFO) to support sustainable aquaculture regulation in the Coast of Bays, an area of the south coast of Newfoundland. This dataset is the third of a series aiming to provide an oceanographic knowledge baseline of the Coast of Bays, Newfoundland. It consists of 73 ADCP timeseries varying in length from about 26 days to 235 days collected between 2009 and 2014. Analyses from this dataset were presented during a Canadian Science Advisory Secretariat (CSAS) meeting which took place in St John’s in March 2015 (http://www.dfo-mpo.gc.ca/csas-sccs/schedule-horraire/2015/03_25-26b-eng.html) and from which a Science Advisory Report (http://www.dfo-mpo.gc.ca/csas-sccs/Publications/SAR-AS/2016/2016_039-eng.html), Proceedings (http://www.dfo-mpo.gc.ca/csas-sccs/Publications/Pro-Cr/2017/2017_043-eng.html) and several research documents were published.

This dataset was compiled as part of a multiyear effort lead by Fisheries and Oceans Canada (DFO) to support sustainable aquaculture regulation in the Coast of Bays, an area of the south coast of Newfoundland. It is the first of a series aiming to provide an oceanographic knowledge baseline of the Coast of Bays. This dataset consists of GIS products and analyses summarized in a spreadsheet. The GIS data include vector shapefiles and raster TIFF images, providing information on the area of interest physical dimensions (e.g. bays area, volume, perimeter, length and width) and other physical characteristics (e.g. tidal volume and freshwater input). A full description of the data and of its use in the context of the motivating project can be found in http://www.dfo-mpo.gc.ca/csas-sccs/Publications/ResDocs-DocRech/2017/2017_076-eng.html. Analyses from this dataset were presented during a Canadian Science Advisory Secretariat (CSAS) meeting which took place in St John’s in March 2015 (http://www.dfo-mpo.gc.ca/csas-sccs/schedule-horraire/2015/03_25-26b-eng.html) and from which a Science Advisory Report (http://www.dfo-mpo.gc.ca/csas-sccs/Publications/SAR-AS/2016/2016_039-eng.html) and Proceedings (http://www.dfo-mpo.gc.ca/csas-sccs/Publications/Pro-Cr/2017/2017_043-eng.html) were published.

This dataset was compiled as part of a multiyear effort lead by Fisheries and Oceans Canada (DFO) to support sustainable aquaculture regulation in the Coast of Bays, an area of the south coast of Newfoundland. It is the second of a series aiming to provide an oceanographic knowledge baseline of the Coast of Bays. This dataset includes temperature, salinity, and dissolved oxygen concentration profiles collected during CTD surveys, each survey containing a varying number of casts/profiles taken within the area of interest. In total, 760 profiles from 11 surveys, executed over 276 stations, were collected from June 2009 to November 2013. Data were processed and quality controlled using the instrumentation manufacturer guidelines, custom tools as well as visual inspection. Data are provided in tab-delimited text-based format compatible with most data processing language and tools (e.g. MS. Excel) as well as with the Ocean Data View software (https://odv.awi.de/) for rapid visualisation. A summary of the CTD profiles and stations surveyed is also provided as a comma separated values (CSV) file. A full description of the data and of its use in the context of the motivating project can be found in http://www.dfo-mpo.gc.ca/csas-sccs/Publications/ResDocs-DocRech/2017/2017_077-eng.html. Analyses from this dataset were presented during a Canadian Science Advisory Secretariat (CSAS) meeting which took place in St John’s in March 2015 (http://www.dfo-mpo.gc.ca/csas-sccs/schedule-horraire/2015/03_25-26b-eng.html) and from which a Science Advisory Report (http://www.dfo-mpo.gc.ca/csas-sccs/Publications/SAR-AS/2016/2016_039-eng.html) and Proceedings (http://www.dfo-mpo.gc.ca/csas-sccs/Publications/Pro-Cr/2017/2017_043-eng.html) were published.

Get data on Lake Ontario tagged Atlantic salmon recaptures. This dataset represents tagged adult Atlantic salmon that were released and then recaptured by anglers. These fish were used as brood stock (breeding) in the Ministry of Natural Resources and Forestry’s fish culture program. All fish were tagged with a streamer tag near the dorsal fin. Each tag has a unique number and a phone number so anglers can call and let the ministry know about their catch. The data includes: * tagging date * recapture date * tag number/colour * location released * location recaptured * days since released * distance travelled

PURPOSE: The objective of the sea scallop survey is to obtain fishery independent data on the abundance, size distribution and location of scallops in the southern Gulf of St. Lawrence and to provide science advice on stock status to fishery managers, decision makers and industry stakeholders. DESCRIPTION: The sea scallop research survey is conducted on CCGS MPerley (or chartered vessels) and has stratified random sampling. For each tow (or sample), data is recorded on tow, all specimens caught, geolocation, shell height frequency and biological samples. This monitoring program is currently on-hold. It will resume if a survey is deemed necessary to provide a new or updated science advice in the future. Stock status is currently (2024) in the critical zone. Rebuilding plan to follow. PARAMETERS COLLECTED: Catch number (biological), catch weight (biological), individual lengths (biological), age (biological), meat weight (biological). PHYSICAL SAMPLE DETAILS: A sub-sample of scallop shells is retained and analysed for age determination in the lab. SAMPLING METHODS: From 2012 to 2016, an annual, rotational, multispecies research survey program for scallop in the sGSL was conducted to obtain fishery independent indices of abundance, biomass estimates, and biological characteristics information (shell height, meat weight, sex, clappers). One section of a SFA or the SFA in its entirety was surveyed per year, with the exception of SFA 23 which was excluded because of the low scallop fishing effort reported from this area in recent years. From 2019 to 2023, annual surveys were conducted on the three major beds in the Northumberland Strait (West Point and Cape Tormentine in SFA 22, Pictou in SFA 24), using a similar methodology as the previous surveys. Methodology can be found in the Science Advisory Report and the Research Document listed in the citations list. USE LIMITATION: To ensure scientific integrity and appropriate use of the data, we would encourage you to contact the data custodian.

Bay-scale empirical demonstrations of how bivalve aquaculture alters plankton composition, and subsequently ecological functioning and higher trophic levels, are lacking. Temporal, inter- and within-bay variation in hydrodynamic, environmental, and aquaculture pressure limit efficient plankton monitoring design to detect bay-scale changes and inform aquaculture ecosystem interactions. Here, we used flow cytometry to investigate spatio-temporal variations in bacteria and phytoplankton (< 20 µm) composition in four bivalve aquaculture embayments. We observed higher abundances of bacteria and phytoplankton in shallow embayments that experienced greater freshwater and nutrient inputs. Depleted nutrient conditions may have led to the dominance of picophytoplankton cells, which showed strong within-bay variation as a function of riverine vs freshwater influence and nutrient availability. Although environmental forcings appeared to be a strong driver of spatio-temporal trends, results showed that bivalve aquaculture may reduce near-lease phytoplankton abundance and favor bacterial growth. We discuss aquaculture pathways of effects such as grazing, benthic-pelagic coupling processes, and microbial biogeochemical cycling. Conclusions provide guidance on optimal sampling considerations using flow cytometry in aquaculture sites based on embayment geomorphology and hydrodynamics. Cite this data as: Sharpe H, Lacoursière-Roussel A, Barrell J (2024). Monitoring bay-scale bivalve aquaculture ecosystem interactions using flow cytometry. Version 1.2. Fisheries and Oceans Canada. Samplingevent dataset. https://ipt.iobis.org/obiscanada/resource?r=monitoring_bay-scale_bivalve_aquaculture_ecosystem_interactions_using_flow_cytometry&v=1.2

Bivalve aquaculture has direct and indirect effects on plankton communities, which are highly sensitive to short-term (seasonal, interannual) and long-term climate changes, although how these dynamics alter aquaculture ecosystem interactions is poorly understood. Here, we investigate seasonal patterns in plankton abundance and community structure spanning several size fractions from 0.2 µm up to 5 mm, in a deep aquaculture embayment in northeast Newfoundland, Canada. Using flow cytometry and FlowCam imaging, we observed a clear seasonal relationship between fraction sizes driven by water column stratification (freshwater input, nutrient availability, light availability, water temperature). Plankton abundance decreased proportionally with increasing size fraction, aligning with size spectra theory. Within the bay, greater mesozooplankton abundance, and a greater relative abundance of copepods, was observed closest to the aquaculture lease. No significant spatial effect was observed for phytoplankton composition. While the months of August to October showed statistically similar plankton composition and size spectra slopes (i.e., food chain efficiency) and could be used for interannual variability comparisons of plankton composition, sampling for longer periods could capture long-term phenological shifts in plankton abundance and composition related to various processes, including climate change. Conclusions provide guidance on optimal sampling to monitor and assess aquaculture pathways of effects. Cite this data as: Sharpe H, Lacoursière-Roussel A, Gallardi D (2024). Ecological insight of seasonal plankton succession to monitor shellfish aquaculture ecosystem interactions. Version 3.2. Fisheries and Oceans Canada. Sampling event dataset. https://doi.org/10.25607/2ujdvh

The project (Quoddy Region Pelagics Telemetry) will support the assessment of the effects of aquaculture on the distribution and abundance of pelagic fishes (salmon, mackerel, herring) and large predators (shark, marine mammals) in Passamaquoddy Bay and the Bay of Fundy, an area of intense finfish culture. An acoustic receivers network is placed yearly (from April to December) across various passageways, locations of project-specific interest, and at aquaculture sites in the region. Tagged pelagic species will be tracked through the network to provide information on migration routes, movement speed, survival rates and suspected predators, and determine interaction and residence at aquaculture sites. The network was utilized for monitoring the passage of: hatchery-reared wild salmon (n=340) released in the Magaguadavic River in 2018, 2019 and 2021, wild alewives (n=30) from the St. Croix River in 2021, and farmed Atlantic salmon released in the wild (n=99) in 2021. The receiver network has more recently supported adjacent projects on the use of the region by white shark and porbeagle as well as the residence of mackerel, herring, and sculpin at farm sites. The receivers additionally support other researchers with detection of striped bass, Inner Bay of Fundy Atlantic salmon, sturgeon, and many other species. Placement of the network will continue into 2025 inclusive with the longer-term goal to eventually deploy an array covering the entrance to the Bay of Fundy. Cite this data as: Trudel, M., Wilson, B., Black, M. 2023. Assessing bay-scale impacts of aquaculture operations on the distribution and abundance of pelagic fishes and large predators. Accessed via the Ocean Tracking Network OBIS IPT in January 2025 (version 3.1). https://doi.org/10.14286/xfa6sr

As part of the development of a nationally-consistent sampling design within the Aquaculture Monitoring Program (AMP), this data reports mesozooplankton assemblages observed at nine coastal shellfish aquaculture sites, located across four DFO regions, with sampling across months, tide phases, and sampling locations. In most sites, strong spatial effects were observed, while tide effects were generally less important for structuring the mesozooplankton communities. Seasonality emerged as an essential factor to design an efficient monitoring program. This dataset represents the first large-scale Canadian coastal study using imaging technology for plankton taxonomic Identification. Cite this data as: Finnis, S., Guyondet, T., McKindsey, C.W., Arseneau, J., Barrell, J., Duhaime, J., Filgueira, R., Gallardi, D., Gaspard, D., Gibb, O., Goodwin, C., Hua, K., Macdonald, T., Milne, R., Lacoursière-Roussel, A. 2023. Guidance on sampling effort to monitor mesozooplankton communities at Canadian bivalve aquaculture sites using an optical imaging system. Can. Tech. Rep. Fish. Aquat. Sci. 3581: vii + 101 p

These data were created under DFO’s Strategic Program for Ecosystem-based Research and Advice - Aquatic Invasive Species Program: “Evaluation of the movement of marine infrastructure as a pathway for aquatic invasive species spread”. This geodatabase contains floating dock locations in coastal waters of the Pacific Northwest, from Puget Sound, Washington to Southeast Alaska. These data were assembled by Josephine Iacarella and used in an analysis to understand the role of floating infrastructure as a vector in the spread of marine nonindigenous species (Iacarella et al., 2019). The data are represented as point vectors, though docks have associated size estimates. Data were collected with the aim to have the most accurate representation of coastal coverage of structures in 2017. The most recent images from Google Earth were used, though in some areas these date back a few years. Floating docks included those that extended into the subtidal and were not fixed on pilings. Dock locations were binned into size categories, with small docks and associated marina structures grouped together as ‘marina areas’ based on spatial clustering and a visual estimate of size (haphazard measurement selection, n=35 per category; small: 57.2 m2 ± 6.7, medium: 379.1 m2 ± 42.8, marina area: 4,453.5 m2 ± 744.4). A total of 7,809 floating dock sites were recorded, covering an estimated area of 2.3 km2.