The Provincial Obstacles to Fish Passage theme presents records of all known obstacles to fish passage from several fisheries datasets. Records from the following datasets have been included: The Fisheries Information Summary System (FISS); the Fish Habitat Inventory and Information Program (FHIIP); the Field Data Information System (FDIS) and the Resource Analysis Branch (RAB) inventory studies. The main intent of this layer is to have a single layer of all known obstacles to fish passage. It is important to note that not all waterbodies have been studied and, not all lengths of many waterbodies have been studied so there are a very high number of obstacles in the real world that are not recorded in this dataset. This layer simply reports the obstacles to fish that are known. It is also very important to note that we are acknowledging these features as obstacles to fish passage versus barriers to fish passage. This is because an obstacle may be a barrier at one time of year but not at other times depending on the volume of water present and also, what is a barrier to one species of fish is not necessarily a barrier to another species.

The contaminants in fish database is a compilation of contaminant data analysed from fish tissue at the Fresh Water Institute from 1970 to 2005. Data include lab number, region, analysis, organs, species, lake, form (whole fish, headon dressed, headless dressed), weight, and length and contaminant concentrations. Total mercury was the predominant contaminant measured. Results were expressed as ppm or ppb based on the parameter analyzed. Concentrations are expressed based on wet weight.

The fish activity area data represents the consolidation of two fish data classes collected by the Ministry of Natural Resources. The data estimates locations used by fish for activities such as spawning and nursing young. Locations are represented as polygons. They may be related to a specific species or described more generally. There are additional sensitive features related to provincially tracked species and species at risk that are not available as part of the open data package. Sensitive features are subject to licensing and approvals and may be requested by contacting geospatial@ontario.ca.

Herring biological (fish and sample) data as part of Herring Stock Assessment database

These data sets provide information pertaining to abundant taxa including bottom-dwelling shrimp and fish along trawling and trapping transects in Simoom Sound at November, 2000, and February, 2001. Data sets were compiled and formatted by Meagan Mak.Abstract from report:This study is a component of a larger project designed to compare the effects of shrimp trawling and trapping gear on shrimp, fish and the benthic habitat of Simoom Sound located in Broughton Archipelago, British Columbia, Canada. Otter-trawling, beam-trawling, and trapping took place in three distinct experiment blocks of the central seabed of the Sound. In turn, each block consisted of replicate transects, where a towed submersible video-camera surveyed shrimp and fish before and after trawling. Video surveys were deployed only before trapping. From the video surveys, we determined the abundance of common shrimp taxa and fish.

Zones were created to manage the potential spread of fish pathogens. This product requires the use of geographic information system (GIS) software.

The Fish Pathology Program (FPP) located at the Pacific Biological Station in Nanaimo has been assessing the health of aquatic animals since the early 1970’s. Utilizing traditional diagnostic methods, the FPP has supported internal and external clients to provide clinical data and management advice on the health of aquatic animals. The dataset contains information from diagnostic fish health cases coming from the Salmonid Enhancement Program, Research, Public and I&T submissions. Data contained in the database includes pathogen findings from submitted cases from all of the Pacific Region.The publication of The Fish Health Database will comply with public release recommendations documented in recommendation twenty two, made in volume three of the Final Report (October 2012) submitted by the Cohen Commission of Inquiry into the Decline of the Sockeye Salmon in the Fraser River.

A goal of the Government of Canada’s Coastal Environmental Baseline Program (CEBP) is to amalgamate historic environmental data from high vessel traffic areas. An extensive DFO biological sampling program was conducted from 1980 to 1981 on Sturgeon and Roberts banks located on the outer Fraser River estuary, BC, Canada. This report collates and simplifies three data sets: water quality and nearshore fish catch previously published as DFO Data Report 340 (Conlin et al.1982), and un- published weight-length (W-L) data for two locations on Sturgeon Bank (Iona and Steveston) and near Westshore Terminals (Coal Port) on Roberts Bank. W-L data were reconstructed from archived computer printouts using Optical Character Recognition methods. Analyses of water quality data indicate that the two banks provided different fish habitats with Sturgeon Bank having a greater freshwater influence. Although Iona area water quality was exposed to sewage outfall from a nearby sewage treatment plant, it appears that fish communities were not different from the other Sturgeon Bank area (Steveston). The fish communities were found to be different between the two banks with Roberts Bank having greater overall abundance and diversity. Interestingly, of the seven fish species used for condition factor analyses, five were found to have lower Relative Condition Factors in the Roberts Bank sampling area.

Basic biological data for all fish caught during the 2012 BSMFP expedition. Includes identification, weight, length (total, fork, and, standard), liver weight, gonad weight, sex and maturity level.

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.