Spatial distribution of lumpfish catch rates (number per tow) during the August DFO research survey conducted annually since 1990, to assess the state of groundfish and shrimp stocks in the northern Gulf of St. Lawrence.The area sampled by a tow is the product of the distance trawled (fishing time multiplied by vessel speed) and the wing spread (13.41 m for the Alfred Needler and 16.94 m for the Teleost). Given that this area may vary among tows, the sampling unit is standardized and defined as being a station sampled by a tow over a distance of 0.75 nautical miles (1,389 m) with a horizontal wing spread of 16.94 m. Catch variables were calculated based on the standard area, 0.02353 km².After each tow, the catch was sorted by taxa, and the number of individuals and total biomass of these taxa were noted. For taxa identified to the species level, individual biometric parameters (e.g., length, weight) and biological parameters (e.g., sex, maturity of gonads) were recorded based on a subsample. Full methods are described in Bourdages et al. (2010).Note that the increase in catch rate for the 2005-2009 period coincides with a change in gear for this survey.Bourdages, H., and Ouellet, J.-F. 2011. Geographic distribution and abundance indices of marine fish in the northern Gulf of St. Lawrence (1990–2009). Can. Tech. Rep. Fish. Aquat. Sci. 2963: vi + 171 p.Source:Gauthier, J., Grégoire, F., and Nozères, C. 2017. Assessment of Lumpfish (Cyclopterus lumpus) in the Gulf of St. Lawrence (3Pn, 4RS) in 2015. DFO Can. Sci. Advis. Sec. Res. Doc. 2017/051. v + 47 p.PurposeThe multidisciplinary survey of groundfish and shrimp in the northern Gulf of St. Lawrence has been conducted every August by Fisheries and Oceans Canada for more than two decades. Initially, its objective was to determine the abundance and geographic distribution of commercially important taxa. However, for couple of years, the objective was expanded to include all taxa caught with the shift toward the ecosystem approach.

Fishing event data (e.g. year, date, time, location, catch and effort) and associated biological data from the Offshore Stratified Random Survey component of the annual Sablefish Research and Assessment Survey on the British Columbia coast.IntroductionDFO and the Canadian Sablefish Association (CSA) collaborate to undertake an annual fishery-independent research survey under a joint agreement. The survey employs longline trap gear to obtain catch rate data, gather biological samples, capture oceanographic measurements, and collect tag release and recapture data.Data summaries provided here are for the offshore stratified random sampling design (StRS) component of the survey, which has been conducted annually since 2003. The design of the sablefish survey has developed over time by incorporating and discontinuing components, including individual experimental studies (not available on OpenData). This StRS Survey component differs in methodology from the other two survey components: (1) Standardized trap survey – mainland inlets (1994-present; available on OpenData using link below), and (2) Standardized trap survey – offshore indexing and offshore tagging (1990 – 2010; not yet available on OpenData). The Sablefish offshore stratified random trap survey (StRS) follows a depth and area stratified random sampling design. The survey area is partitioned into five spatial strata (S1 to S5) and three depth strata (RD1 to RD3) for a total of 15 strata. The five spatial strata are S1 (South West Coast Vancouver Island or SWCVI), S2 (North West Coast Vancouver Island or NWCVI), S3 (Queen Charlotte Sound or QCS), S4 (South West Coast of Haida Gwaii or SWCHG), and S5 (North West Coast of Haida Gwaii or NWCHG). The three depth strata are 100-250 fathoms (RD1), 250-450 fathoms (RD2), and 450-750 fathoms (RD3). The area within each of the 15 strata are sectioned into 2 km x 2 km grid cells or ‘fishing blocks’ from which set locations are randomly chosen each year. Survey procedures are standardized and documented in Canadian Technical Reports of Fisheries and Aquatic sciences.Data tables provided for the offshore stratified random survey include (i) effort, (ii) catch, (iii) biological information, (iv) the sampling frame from which blocks are selected for sampling each year, and (v) the calculated coastwide Sablefish biomass index. StRS EffortThis table contains information about the annual survey trips and fishing events (sets). Trip-level information includes the year the survey took place, a unique trip identifier, the vessel that conducted the survey and the trip start and end dates (the dates the vessel was away from the dock conducting the survey). Set-level information includes the date, time, location and depth that fishing took place, the survey spatial and depth strata for the set, reason for the set, soak time, number of traps deployed and number of traps fished. All successful fishing events are included, i.e., those sets that conformed to specified survey standards.StRS CatchThis table contains the catch information from successful fishing events. Catches are identified to species or to the lowest taxonomic level possible. Catches are recorded as fish counts and / or weight. The unique trip identifier and set number are included so that catches can be related to the fishing event information (including capture location).StRS Biological InformationThis table contains the biological data for sampled catches. Data may include any or all of length, weight, sex, maturity, and age. Most of the sampled catch is Sablefish; however, some biological information has been collected on Rockfish, Flatfish and other Roundfish species in some years. Age structures are collected and are archived until required for analyses; therefore, all existing structures have not been aged at this time. Tissue samples (usually a fin clip) may be collected for genetic (DNA) analysis for specific species. Genetic samples may be archived until required for analyses; for more information, please see the data contacts. The unique trip identifier and set number are included so that samples can be related to the fishing event and catch information.Sample FrameThis table contains a list of all of the 2km x 2km grid cells or ‘fishing blocks’ that are part of the stratified random sampling frame. A subset of blocks are randomly selected for sampling each year from this list. For each grid cell, the corresponding depth and spatial strata ID is included. This sample frame can be used to calculate design-based abundance indices for the survey.StRS Biomass IndexThis table contains a coastwide relative biomass index for Sablefish based on the annual StRS survey. Stratified random sampling mean index values and 95% confidence intervals are calculated by year using the classical survey stratified random sampling estimator (Cochran 1977) and the number of possible sampling units per stratum provided by Wyeth et al. (2007). The relative biomass index has been input to the operating model and management procedure used to provide management advice for BC Sablefish since 2011 (Cox et al. 2011).

Pacific Herring roe catch data for British Columbia. There are five major stock assessment regions: Haida Gwaii, Prince Rupert District, Central Coast, Strait of Georgia, and West Coast of Vancouver Island; and two minor stock assessment regions: Area 2W and Area 27. Catch that occurred outside of the major and minor stock assessment regions is recorded as ‘other’. Herring roe catch data is maintained in the Herring stock assessment database. The sum of catch is in metric tonnes for a specified time frame, geographical location, and gear type. Due to privacy, catch where less than three parties fished in a given area and time frame cannot be released. In these cases, ‘WP’ will appear in this field.

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----------------------------------------------------------

Contact and location information for StrongStart BC Centres. For dynamic contact information for schools, see http://www.bced.gov.bc.ca/apps/imcl/imclWeb/Home.do or view a map of BC districts and schools at http://www.bced.gov.bc.ca/reporting/maps/welcome.php

This dataset is used for national and coarse-scale provincial reporting such as analyses of climate, demographics and watersheds.

Boundaries developed for use when aggregating cases and reporting during the COVID-19 pandemic in Saskatchewan.The province of Saskatchewan has been divided into six distinct areas for use in reporting the infection rates of COVID-19 during the 2020 outbreak of the virus. This dataset is 'Deprecated'. Please use updated source here.

Community Energy and Emissions Inventory (CEEI) Primary Indicators Per Capita 2007 Reporting Year by Community

Community Energy and Emissions Inventory (CEEI) Primary Indicators Total 2007 Reporting Year by Regional District

Community Energy and Emissions Inventory (CEEI) Primary Indicators Per Capita 2007 Reporting Year by Regional District