This dataset represents meat weight and shell height data of commercial size Sea Scallop (Placopecten magellanicus; ≥ 80 mm shell height) from 2011-2023 from the Bay of Fundy Inshore Scallop Survey collected from June to mid-August. Wet meat weights were recorded to a tenth of a gram and shell heights are measured in millimeters. Meat weights and shell heights are sampled from a subset of scallops caught on survey and this detailed sampling is conducted from approximately half of the tows conducted. Each row in the dataset represents an individual scallop and contains information such as tow number, tow date, cruise name, geographical coordinates (decimal degrees, WGS 84) and the Scallop Production Area in which the tow took place. Survey protocols are documented in Glass (2017). This dataset contains tow data from a comparative survey conducted in 2012 (Smith et al., 2013). Further, these data correspond to the publication of Hebert et al. (2025). References Glass, A. 2017. Maritimes Region Inshore Scallop Assessment Survey: Detailed Technical Description. Can. Tech. Rep. Fish. Aquat. Sci. 3231: v + 32 p. Hebert, N, Sameoto, J.A., Keith, D.M., Murphy, O.A., Brown, C.J., Flemming, J. 2025. Interannual variability in the length–weight relationship can disrupt the abundance–biomass correlation of sea scallop (Placopecten magellanicus). ICES. J. Mar. Sci. Smith, S.J., Glass, A., Sameoto. J., Hubley, B., Reeves, A., and Nasmith, L. 2013. Comparative survey between Digby and Miracle drag gear for scallop surveys in the Bay of Fundy. DFO Can. Sci. Advis. Sec. Res. Doc. 2012/161. iv + 20 p. Cite this data as: Sameoto, J.A. Data of: Bay of Fundy Sea Scallop Meat Weight and Shell Height Data 2011 to 2023. Published: December 2025. Population Ecology Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/65d32794-2d81-4682-b0ea-8d8bbe907a58

The annual summer scallop surveys on the principal grounds in the Bay of Fundy follow stratified-random designs. The gear comprises a ‘Digby scallop drag’ with four ‘buckets’, each of 760 mm inside width, their bags being made of 74 mm steel-wire rings linked by rubber washers. A comparative data set of three scallop grounds (Digby, Lurcher Shoal and Grand Manan) was produced comprised of 190 stations sampled in 1997 and 213 from 2007–08. Presence/absence of a common suite of 68 benthic invertebrate taxa were recorded: 43 individual species, 20 additional genera and five higher taxa, all drawn from nine phyla. Each taxon was coded for each of seven biological traits (each with associated modalities), selected for their assumed relevance to environmental drivers. A score between 0 and 3 was assigned based on the literature for the taxon’s affinity to each modality, using ‘fuzzy coding’. Non-zero scores were assigned to as many modalities as required to represent the traits of the taxon’s adult stage. The resulting taxa x traits matrix, of 68 taxa by 27 modalities, is provided here along with the metadata for each station sampled. In addition, fourteen environmental variables, deemed relevant to benthic epifauna and representing both seabed sediments and the water column, were quantified for each survey station. Seabed depth, mean grain size, mean significant wave height, mean seabed shear stress, root mean square tidal current speed 1 m above the seabed and combined averaged wave-current shear velocity were each extracted from a sediment transport model for the Bay of Fundy prepared by Li et al. (2015). Mean values for current velocities, salinity and temperature for both surface and bottom layers, plus maximum mixed layer depth and bottom shear were each drawn from the Bedford Institute of Oceanography North Atlantic Model (BNAM: Wang et al., 2018). BNAM values averaged across 1990–2015 were used when examining faunal differences among survey areas, but explorations of temporal change used annual values for 1997 and 2007 individually. The variable nomenclature in the attached spreadsheet follows those of Li et al. (2015) and Wang et al. (2018). Results of the spatial and temporal analyses of these data are found in Staniforth et al. (2023). The values for each of the environmental variables are provided in the spreadsheet below. Their interpolated surfaces are also provided. Cite this data as: MacDonald, Barry; Staniforth, Calisa; Lirette, Camille; Murillo, Francisco; Kenchington, Ellen; Kenchington, Trevor (2023). Benthic Megafaunal Assemblages on Scallop Fishing Grounds in the Bay of Fundy (1997 and 2007). Published May 2024. Ocean Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/935836da-a565-4f1e-806e-d354d8db252c

Sea scallop (Placopecten magellanicus) and Iceland scallop (Chlamys islandica) concentration areas of this layer are described as being known and commercially exploited historically and/or currently. The mapping of these areas is based on several sources of information: research surveys (since 1977, annually but alternating sectors since 2009), exploratory fisheries (2000, 2001, 2003) and commercial fisheries (annually). These concentration areas are considered among the most abundant beds and are used for commercial fishing. This layer does not represent the general distribution of the species nor the extent to which fishing is allowed and does not take into account the large unexploited beds. The extent of shellfish beds can change over time in response to, among others, harvesting and recruitment rates. The polygons might underestimate the concentration areas because fishing and scientific surveys occurred where the target resource was known to be more abundant. However, the precision is good enough for resource protection and management needs in case of an environmental incident. This information is valid until data from a more recent research survey is published. Data sources and references: Bourdages, H. et Goudreau, P. 2010. Évaluation des stocks de pétoncles des eaux côtières du Québec en 2009 : données de la pêche commerciale. Secr. can. de consult. sci. du MPO. Doc. de rech. 2010/068. viii + 69 p. Giguère, M., Brulotte, S. et Goudreau, P. 2000. État des stocks de pétoncles des eaux côtières du Québec. Secr. can. de consult. sci. du MPO. Doc. de rech. 2000/086. xi + 46 p. Trottier, S., Bourdages, H., Goudreau, P et Brulotte, S. 2017. Évaluation des stocks de pétoncle des eaux côtières du Québec en 2015: données de la pêche commerciale, des relevés de recherche et des pêches exploratoires. Secr. can. de consult. sci. du MPO. Doc. de rech. 2017/037: xvi + 176 p.

This table contains an attribute indicating sea scallop abundance for OCS blocks. It can be joined to an OCS block feature class to show the conservation priority attribute spatially. The source data are from the National Marine Fisheries Service sea scallop survey from 1994-2006.More information on the sea scallop fishery can be from from NMFS: http://www.nmfs.noaa.gov/fishwatch/species/atl_sea_scallop.htm

This table contains an attribute indicating sea scallop abundance for OCS blocks. It can be joined to an OCS block feature class to show the conservation priority attribute spatially. The source data are from the National Marine Fisheries Service sea scallop survey from 1994-2006.More information on the sea scallop fishery can be from from NMFS: http://www.nmfs.noaa.gov/fishwatch/species/atl_sea_scallop.htm

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.2012.04.009 Cite 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

PURPOSE: This data relates to the Canadian Science Advice Secretariat (CSAS) Regional Science Advisory Process from the Limit Reference Point and Population Model Review of the Southern Gulf of Saint Lawrence Sea Scallop peer review meeting held on November 1-2, 2023. The SFAs 22 and 24 have been identified as the core scallop habitat within the sGSL for this process. Associated publications from this meeting will be posted on the Fisheries and Oceans Canada (DFO) Science Advisory Schedule as they become available. DESCRIPTION: Data on landings, fishing efforts, and catch per unit effort (CPUE) used in the stock assessment for southern Gulf of St. Lawrence (sGSL) sea scallop (_Placopecten magellanicus_) stock assessments and the limit reference point. The dataset contains corrected information from the following data sources: - DFO annual historic reports on landings and efforts - published documents about population assessments and surveys - logbooks, produced by DFO’s regional statistics - purchase slips, produced by DFO’s regional statistics - Catch per unit effort calculated by DFO's Science Branch Prior to 1947, data represents the combined landings that cannot be attributed to individual Scallop Fishing Areas (SFAs). USE LIMITATION: To ensure scientific integrity and appropriate use of the data, we would encourage you to contact the data custodian.

This dataset includes field data for fishes sampled using mid-water trawls, otter trawls, and the SmeltCam during day and night in the Napa River, San Pablo Bay, and Suisun Bay, California, USA. This data release includes all measured environmental parameters and fish taxa included in the analysis. First release 20 December 2018 Revised 20 May 2019 Revised 22 June 2020 Revised 12 Dec 2020

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. 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: Please contact the data custodians before attempting to use this information in support of any kind of scientific analyses.

This dataset contains oceanographic and surface meteorological data collected from an automated shore station with a suite of sensors that are attached to Newport Pier along the nearshore California coast. These automated sensors measure CHLOROPHYLL A CONCENTRATION, CONDUCTIVITY, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE, SALINITY, WATER DENSITY and WATER TEMPERATURE at frequent intervals in the nearshore coastal ocean. These data can provide local and regional information on mixing and upwelling, land run-off, and algal blooms. University of California, Irvine, collected the data and provided the data to SCCOOS, which assembles data from University of California, Irvine, and other sub-regional coastal and ocean observing systems of the Southern California Coastal United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. The data are made available in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Each quarter, NCEI adds to this dataset the data collected or updated during the previous quarter.