An interactive web application illustrating the locations of commercial fisheries, commercial fish species production (kg) for the 2016 calendar year.This interactive web application shows the locations of commercial fisheries and commercial fish species production (kg) in Manitoba, by community. It names the communities involved in the industry, shows the number of fishers by community and also shows the location of packing sheds across Manitoba. For each location, pop ups provides additional information, including the round weight (kg) by species for the 2016 calendar year. This application is populated by the web map: Manitoba Commercial Fishing Industry Map.

The marks left in the seabed by the commercial anchoring process can be seen as linear features in high-resolution multibeam bathymetry data. These features have been digitized to polylines for individual marks and polygons for anchor scour zones for British Columbia's (BC) commercial anchorages. They are made available via the Federal Geospatial Platform (FGP) for use in a Geographical Information System (GIS). This feature dataset is complete for published BC commercial anchorages and the multibeam bathymetry data available in 2021. It does not represent features produced since the collection of each multibeam bathymetry survey nor any features infilled since. The data are intended to be used for scientific research to better understand the cumulative impacts to the seabed from commercial anchoring at a 1:5000 scale or greater.

List of name of business, operating name, licensed as ferment on premises operators in NS pursuant to the Liquor Control Act

Feature layer of Fish Shed locations (Fish Packing Stations) across Manitoba.This feature layer - which is used in the Manitoba Commercial Fishing Industry Map  and the Manitoba Commercial Fishing Industry Application - shows the Fish Shed locations (Fish Packing Stations) across Manitoba. This is a point layer that includes the name of the Fish Shed.

This is a point layer of the names and locations of the actively used commercial shipping anchorages in British Columbia. These point locations were manually compiled from available port guides and documents. The objective of this dataset is to provide a consolidated file containing all active commercial shipping anchorage locations as there has been a lack of consistency between different sources due to variations in names and locations in different datasets and historical changes to anchorage locations.

PURPOSE:"Biological, relative abundance, and environmental data have been collected from the Yellowknife River Cisco population that can be used to inform fisheries management decision-making. Under the conditions of a commercial licence issued under the New Emerging Fisheries Policy, licence holders are required to record catch and biological information to support the assessment of the feasibility and sustainability of the fishery over time, and potential advancement in the stages of a developing fishery. In addition to the information collected from the commercial harvest (fishery-dependent), a fishery-independent sampling and snorkel survey program was conducted with the objective of collecting additional biological, observational, and environmental data during the fall spawning run.The objective of this report is to compile available data from fishery-dependent and fishery-independent sampling of adfluvial Yellowknife River Cisco during fall, 1998-2020*, specifically by:• Summarizing commercial fishery quotas and reported harvest;• Characterizing population demographics and examining for trends over time;• Summarizing metrics of relative abundance (i.e., catch-per-unit-effort data and snorkel survey observations) and examining for trends over time; and• Determining if there were any associations between relative abundance of Cisco and river discharge and temperature. *A commercial harvest occurred in 1998, although no biological or catch-effort records were located. In addition, in response to concerns about the status of the population, the fishery was put on hold 2006–2009 to allow for a population assessment (no data during that time). DESCRIPTION:Cisco (Coregonus artedi) from the Yellowknife River, Northwest Territories, are an important fishery resource for nearby communities. Biological, catch-effort, and environmental data were collected from the Yellowknife River (Tartan Rapids and Bluefish areas) during their fall spawning run from Great Slave Lake. Data from the commercial harvest (fishery-dependent; 1998–2020) and supplementary monitoring (fishery-independent; 2013–2020) of these adfluvial Cisco were compiled to summarize commercial fishery quotas and reported harvest, characterize population demographics and catch-effort over time, and assess potential associations between relative abundance and seasonal river characteristics. A single commercial fishing licence for Cisco was issued on an annual basis each fall for 1,000 kg from 1998–2002, 2,000 kg from 2004–2005, 1,000 kg from 2010–2018, and 1,500 kg from 2019–2020. Cisco ranged from 102–239 mm fork length, 10.0–139.6 g round weight, and 1 and 9 years of age, with the majority of fish (>99%) being sexually mature. The demographics (length, weight, age) of the spawning population collected from the commercial fishery remained relatively stable between 1999 and 2020. Catch-effort of the commercial fishery varied widely among years without trend, although this was not standardized to the number of individuals/nets used to capture the fish. The biological, catch-effort, and environmental data collected from the Yellowknife River spawning population of Cisco serve as a benchmark for their ongoing assessment and management.

ECO - Business and economic (economy) Economic activities or employment. For example, resources describing labor; revenue; commerce; industry; tourism and ecotourism; forestry; fisheries; commercial or subsistence hunting; and exploration and exploitation of resources, such as minerals, oil, and gas.

The Fishery Operations System (FOS) is the Department of Fisheries and Oceans Canada’s (DFO) centralized Oracle database that holds commercial salmon fishery catch, effort and biological data. The FOS database was built in 2001 and continues to be the current repository for all data pertaining to DFO’s Pacific Region Commercial Salmon Logbook program.The Commercial Salmon Logbook program was initiated in 1998 with fleet wide participation made mandatory during the 2001 season. The program requires all commercial salmon fishers to record their daily catch and effort information in a harvest logbook and to subsequently report it to DFO using a service provider within deadlines defined in the conditions of licence. A portion of the information collected from the logbook program contains fisher personal information and is therefore protected and un-releasable. Fishery Managers use the fisher reported catch and effort, in addition to information collected from other sources such as overflights, to calculate in-season catch estimates.NOTES:- This report contains ONLY commercial catch estimates; it DOES NOT include test fishing, recreational or First Nations data.- These figures are preliminary in-season catch estimates and are subject to change.- Consult the applicable Fishery Manager or Biologist as to the status of particular catch estimates- All catch estimates are reported in pieces (numbers of fish).- Catch estimates include adults and jacks combined.----------------------------------------------------------Pacific Fishery Management Areas (PFMAs):https://www.pac.dfo-mpo.gc.ca/fm-gp/maps-cartes/areas-secteurs/index-eng.html----------------------------------------------------------DFO Integrated Fisheries Management Plans (IFMP):http://www.pac.dfo-mpo.gc.ca/fm-gp/ifmp-eng.html ----------------------------------------------------------DFO Salmon Catch Statistics and Logbook Reports:http://www.pac.dfo-mpo.gc.ca/stats//smon/index-eng.htm----------------------------------------------------------Pacific Region Commercial Salmon Fishery Post-Season Catch Estimates, 1996 - 2004:https://open.canada.ca/data/en/dataset/82c7eaa7-7078-4d38-a880-25d53f00c579----------------------------------------------------------

Description:These commercial whale watching data are comprised of two datasets. First, the ‘whale_watching_trips_jun_sep_british_columbia’ data layer summarizes commercial whale watching trips that took place in 2019, 2020 and 2021 during the summer months (June to September). The second data layer, ‘wildlife_viewing_events_jun_sep_british_columbia’ contains estimated wildlife viewing events carried out by commercial whale watching vessels for the same years (2019, 2020 and 2021) and months (June to September). Commercial whale watching trips and wildlife viewing events are summarized using the same grid, and they can be related using the unique cell identifier field ‘cell_id’. The bulk of this work was carried out at University of Victoria and was funded by the Marine Environmental Observation, Prediction and Response (MEOPAR) Network under the ‘Whale watching AIS Vessel movement Evaluation’ or WAVE project (2018 – 2022). The aim of the WAVE project was to increase the understanding of whale watching activities in Canada’s Pacific region using vessel traffic data derived from AIS (Automatic Identification System). The work was finalized by DFO Science in the Pacific Region. These spatial data products of commercial whale watching operations can be used to inform Marine Spatial Planning, conservation planning activities, and threat assessments involving vessel activities in British Columbia.Methods:A list of commercial whale watching vessels based in British Columbia and Washington State and their corresponding MMSIs (Maritime Mobile Service Identity) was compiled from the whale watching companies and Marine Traffic (www.marinetraffic.com). This list was used to query cleaned CCG AIS data to extract AIS positions corresponding to commercial whale watching vessels. A commercial whale watching trip was defined as a set of consecutive AIS points belonging to the same vessel departing and ending in one of the previously identified whale watching home ports. A classification model (unsupervised Hidden Markov Model) using vessel speed as the main variable was developed to classify AIS vessel positions into wildlife-viewing and non wildlife viewing events. Commercial whale watching trips in the south and north-east of Vancouver Island were limited to a duration of minimum 1 hour and maximum 3.5 hours. For trips in the west coast of Vancouver island the maximum duration was set to 6 hours. Wildlife-viewing events duration was set to minimum of 10 minutes to a maximum of 1 hour duration. For more information on methodology, consult metadata pdf available with the Open Data record.References:Nesdoly, A. 2021. Modelling marine vessels engaged in wildlife-viewing behaviour using Automatic Identification Systems (AIS). Available from: https://dspace.library.uvic.ca/handle/1828/13300.Data Sources:Oceans Network Canada (ONC) provided encoded AIS data for years 2019, 2020 and 2021, within a bounding box including Vancouver Island and Puget Sound used to generate these products. This AIS data was in turn provided by the Canadian Coast Guard (CCG) via a licensing agreement between the CCG and ONC for the non-commercial use of CCG AIS Data. More information here: https://www.oceannetworks.ca/science/community-based-monitoring/marine-domain-awareness-program/ Molly Fraser provided marine mammal sightings data collected on board a whale watching vessels to develop wildlife-viewing events classification models. More information about this dataset here: https://www.sciencedirect.com/science/article/pii/S0308597X20306709?via%3DihubUncertainties:The main source of uncertainty is with the conversion of AIS point locations into track segments, specifically when the distance between positions is large (e.g., greater than 1000 meters).

This project was completed by the Shellfish Section in the Newfoundland and Labrador Science Branch of Fisheries and Oceans Canada (DFO), in collaboration with industry partners. The Coastal Environmental Baseline program supported the Placentia Bay portion of project work for an ongoing industry-DFO collaborative post-season trap survey for Snow Crab that was initiated in 2003 and has occurred each year. This survey is conducted by Snow Crab harvesters accompanied by at-sea observers and takes place in NAFO Divisions 2J3KLNOP4R. Historically the survey focused on commercial fishing grounds but began transitioning to a partly random stratified design in 2017. Since 2018, approximately 50% of survey stations are randomly allocated while 50% remain fixed. At each station, six (for inshore stations) or ten (for offshore stations) commercial traps are set in a fleet. To gather data on non-commercial sized Snow Crab, including females, many fleets also include one small-mesh trap. The coverage of small-mesh traps has been expanding in recent years with the aim of one small-mesh trap for every station in the coming years. Biological sampling is undertaken on at least one commercial trap and the small-mesh trap at each station. The data from this survey is incorporated into the annual stock assessment for Snow Crab in the Newfoundland and Labrador region. This record contains trap locations for Placentia Bay, and information on the types of data collected. More detailed information can be found in Pantin et al. (2022).https://publications.gc.ca/collections/collection_2023/mpo-dfo/fs70-5/Fs70-5-2022-076-eng.pdf