Mean fork length for returning adult Atlantic salmon (Salmo salar) that spent one or two years (1SW and 2SW, respectively) in the marine environment for 16 rivers throughout Eastern Canada spanning an 10° latitudinal gradient. These data were collected as part of monitoring programs for Atlantic salmon returns run by Fisheries and Oceans Canada (DFO). Data from at least eight populations, spanning all provinces in Atlantic Canada, over a 50-year period (1970-2021) will be included in this meta-analysis.These data, as well as mean fork length for returning adult Atlantic salmon from three rivers in Québec (1979-2021) collected as part of monitoring programs for Atlantic salmon returns run by the Ministère de l’Environnement, de la Lutte contre les changements climatiques, de la Faune et des Parcs, Government of Québec, are also available at: http://doi.org/10.17605/OSF.IO/78PWT.

PURPOSE: Adult salmon logbook data are collected annually from volunteer anglers on the Margaree River. These data are used as an input to the current model for predicting abundance of large and small salmon returns each season in the Margaree River (Breau and Chaput 2012). Logbook data used in the model come from in-season fishing. However, the dataset provided also includes early out-of-season fishing that was conducted by volunteer anglers under a scientific license issued by DFO. This early out-of-season early fishing began in 2015 as a pilot project and ran until 2023. DESCRIPTION: Tabularized data from logbooks of anglers in SFA 18A and 18B PHYSICAL SAMPLE DETAILS: LogbooksUSE LIMITATION: To ensure scientific integrity and appropriate use of the data, we would encourage you to contact the data custodian.

PURPOSE:To estimate the abundance of Atlantic salmon smolts in the Margaree River watershed. DESCRIPTION:A rotary screw trap (RST; also known as a smolt wheel) is used to perform a capture-mark-recapture experiment on the main stem of the Margaree River. Smolts are captured at the wheel, a subset are tagged (max 200 individuals daily) and released upriver. Individuals not tagged are enumerated and released at the wheel. A fraction of tagged individuals are recaptured at the wheel. Trap efficiency and smolt abundance can be calculated from this data. USE LIMITATION:To ensure scientific integrity and appropriate use of the data, we would encourage you to contact the data custodian.

PURPOSE:To track juvenile Atlantic salmon densities.DESCRIPTION:Indices of freshwater production are derived annually from electrofishing surveys in the rivers of Nova Scotia flowing into the Gulf of St. Lawrence. Fixed site sampling for juvenile salmon has been conducted most consistently since the mid-1980s for these rivers. Juvenile salmon abundances at sites, in terms of number of fish per habitat area sampled by age or size group (densities), are obtained using successive removal sampling or catch per unit effort sampling calibrated to densities. Sampling intensities vary among years and among rivers.PARAMETERS COLLECTED:distribution (ecological); species counts (ecological); point (spatial)USE LIMITATION:To ensure scientific integrity and appropriate use of the data, we would encourage you to contact the data custodian.

PURPOSE:To track juvenile Atlantic salmon densities.DESCRIPTION:Indices of freshwater production are derived annually from electrofishing surveys in the Miramichi River of New Brunswick. Juvenile salmon abundances at sites, in terms of number of fish per habitat area sampled by age or size group (densities), are obtained using successive removal sampling or catch per unit effort sampling calibrated to densities. Sampling intensities vary among years and among rivers. PARAMETERS COLLECTED:Species counts (ecological); point (spatial).USE LIMITATION:To ensure scientific integrity and appropriate use of the data, we would encourage you to contact the data custodian.

Map of the number of individuals in official language minority communities (according to first official language spoken, adjusted responses) by economic region. Multiple responses distributed equally among respondents. Data from 2016 Census of Canada, 100% sample.

Municipal public parking.attributes:ID - Unique IDName - Parking nameNumber of parking spaces - Number of parking spaces**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

PURPOSE:These data have been updated following a Canadian Science Advice Secretariat (CSAS) Regional Science Advisory Process. Associated publications are available in the citation section below or will be posted on the Fisheries and Oceans Canada (DFO) Science Advisory Schedule as they become available. The dataset supports stock assessment by providing estimates of total returns of large and small Atlantic salmon to each Salmon Fishing Area (SFA) from 15 to 18, as well as to Gulf region rivers overall.DESCRIPTION:This dataset contains annual estimates of total returns of large and small Atlantic salmon to Salmon Fishing Areas (SFAs) 15 to 18 and to Gulf region rivers, as part of the stock assessment process up to the year 2022. USE LIMITATION:To ensure scientific integrity and appropriate use of the data, we would encourage you to contact the data custodian.

During the period of 1987 to 1994, Robin J. LeBrasseur and N. Brent Hargreaves lead a juvenile salmon predation research project in Alberni Inlet and Barkley Sound BC. This dataset contains the research survey catch data and individual fish examinations data.

This geodatabase includes hotspot maps of 1) nearshore habitat richness, 2) diversity (fish and invertebrates), and 3) biomass (using catch per unit effort of fish and invertebrates), as well as two layers showing the spatial extent of the diversity and biomass hotspot analyses. Full details and methods can be found in the Rubidge et al. 2018 CSAS Research Document 2018/053 available here or at https://waves-vagues.dfo-mpo.gc.ca/Library/40759842.pdf. These data were reviewed as part of a Canadian Science Advisory Secretariat (CSAS) regional peer review process on Nov 1-2, 2017.Habitat Richness Hotspots: Because there are no systematic surveys of nearshore species that span the entire coastline of Northern Shelf Bioregion, the nearshore habitat richness hotspots were developed as a proxy for species diversity in nearshore areas. Habitat richness was calculated from eight habitat features: eelgrass, surfgrass, canopy-forming kelp, estuaries, areas of high rugosity, and hard, mixed, and soft substrate. The number of features within 1 km x 1 km planning units was counted, and hotspots were identified using the Getis-Ord G* tool in ArcGIS. Planning units with Gi_Bin values of 3 (99% confidence) were classified as habitat richness hotspots.Diversity and Biomass Hotspots: Hotspots of fish and invertebrate diversity and biomass were developed as proxies for spatial patterns of productivity in the Northern Shelf Bioregion. Diversity (Shannon diversity) and biomass (kg/hour or count/hook/hour) were calculated from DFO synoptic trawl and outside hard-bottom longline (HBLL) survey catch records. The outside HBLL survey was previously referred to as Pacific Halibut Management Area (PHMA) survey. The synoptic trawl and HBLL surveys have complementary spatial coverage, with the HBLL surveys occurring in more coastal areas (20–260 m) and the synoptic trawl surveys occurring on deeper shelf areas (50–1300 m). Hotspots were identified using the Getis-Ord G* tool in ArcGIS for five separate analyses: fish biomass (trawl), fish diversity (trawl), fish diversity (longline), invertebrate biomass (trawl), and invertebrate diversity (trawl). Using the Minimum Bounding Geometry Tool, convex hull polygons were drawn around groups of hotspot points (Gi_Bin values of 1, 2, or 3; confidence ≥90%) containing 10 or more points. The resulting polygons were then buffered by 1 km and manually edited where needed to exclude any large areas of the polygons that did not include hotspot points.