The lobster recruitment project is run by the Fishermen and Scientist Research Society (FSRS) through DFO funding. Fishermen participating in the lobster recruitment project collect information about lobster in their fishing area by fishing 2-5 scientific project traps (SPTs) (fished in fixed locations) within the regular commercial season. The SPTs used in all fishing areas are smaller than commercial traps and designed to primarily catch juvenile lobsters below the legal-size limit.These traps are additional to the vessel's legal number of commercial traps. The lobster recruitment project has more than 120 fishers participating from all LFAs along the Atlantic coast of Nova Scotia from LFA 27 in Cape Breton to LFA 35 in the Bay of Fundy (excluding LFA 28, who have not participated to-date).The number of fishermen per LFA and number of SPTs per fisherman are decided on by the LFA Advisory Committees. This decision considers how much additional effort they were comfortable having in the LFA (i.e. number of SPTs) and from how many traps each fisher could be reasonably expected to collect data. It is also important to have fishers dispersed enough to maximize study footprint. DFO Science consults on project design. SAMPLING METHODS: The fishers record the number, sex and length of lobsters captured in each SPT, as well as presence of eggs, tags or v-notch. Bottom temperatures are monitored by placing a temperature recorder in one of their SPTs for the entire lobster season.Cite this data as: Tibbets-Scott, S., Zisserson, B. Data of: Fishermen and Scientist Research Society (FSRS) Lobster Recruitment Trap Project. Published: November 2020. Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/a88f9b4d-b59a-44f6-ae7e-d36550266940

California and Steller sealion haulout sites. Coastal Resource Information Management System (CRIMS) is a legacy dataset of BC coastal resource data that was acquired in a systematic and synoptic manner from 1979 and was intermittently updated throughout the years. Resource information was collected in nine study areas using a peer-reviewed provincial Resource Information Standards Committee consisting of DFO Fishery Officers, First Nations, and other subject matter experts. There are currently no plans to update this legacy data.

####Leading Group for the Cariboo Region (pinegroup or firgroup). #### 1. IDF - Fir Group: includes all forest polygons in NDT 4 (IDF and BG biogeoclimatic zones) that meet any of the following criteria: *a) Douglas-fir ( Fd or Fdi) leading or ponderosa pine leading; *b) Lodgepole pine leading, and Douglas-fir ( Fd or Fdi) or ponderosa pine greater than 15% in any inventory layer; *c) Trembling aspen leading, and Douglas-fir ( Fd or Fdi) or Ponderosa pine greater than 15% in any inventory layer, and spruce, red-cedar, cottonwood and birch less than 6% in any inventory layer; *d) No species information in inventory data (usually NSR stands), and inventory type group for pre-harvest stand or the current stand = 1, 2, 3, 4, 5, 6, 7, 8, 29, or 32 These inventory type groups correspond to the following species compositions F, FC, FCy, FH, FS, FPl, Fpy, FL, FDEcid, PlF and Py. If inventory type group=0 and pre-harvest inventory type is not available, classify the polygon as Pine Group. 2. IDF-Pl Group: includes all forest polygons in NDT 4 (IDF and BG biogeoclimatic zones) that do not meet the above definition for IDF-Fir Group.

California and Steller sealion haulout areas. Coastal Resource Information Management System (CRIMS) is a legacy dataset of BC coastal resource data that was acquired in a systematic and synoptic manner from 1979 and was intermittently updated throughout the years. Resource information was collected in nine study areas using a peer-reviewed provincial Resource Information Standards Committee consisting of DFO Fishery Officers, First Nations, and other subject matter experts. There are currently no plans to update this legacy data.

This dataset provides results obtained by Health Canada’s Canadian Radiological Monitoring Network (CRMN) for 90Sr activity in milk samples originating from various locations across Canada. More information about the CRMN network can be found on the Health Canada website (see link below). From 1984 to 1993, data was collected from 20 locations. After 1993, routine milk analysis for radio-strontium activity was discontinued for all monitoring stations, except the Ottawa location. The results provided here are 90Sr activity concentrations in units of becquerels per litre (Bq/L). Milk is an important matrix for environmental radioactivity assessment since many radionuclides of health concern exhibit efficient soil to milk uptake pathways. As such, the surveillance of milk provides a very good indication as to the severity of environmental impact following a nuclear event. Strontium-90 (90Sr) is a radionuclide of particular concern because it has a long radiological and biological half-life coupled with a high affinity for incorporation into human bone and teeth. Nuclear weapons testing and nuclear accidents have released such long-lived radionuclides into the atmosphere, which in turn have entered the biological life cycle. Nevertheless, a steady decline in the activity concentration of 90Sr in milk can be seen since most of the nuclear weapon testing was halted in the 1960s. The map shows the approximate sampling location for each monitoring station. Stations are found within the associated location range.

This dataset provides the results obtained by Health Canada’s Canadian Radiological Monitoring Network (CRMN) for the gross alpha and beta activity concentrations in drinking water, given in units of becquerels per liter (Bq/L). More information about the CRMN network can be found on the Health Canada website (see link below). Although water quality is a matter of provincial jurisdiction, the CRMN, in collaboration with the city of Ottawa, has been conducting a targeted program to monitor the radiological content of drinking water from two water treatment plants in Ottawa, ON. The Guidelines for Canadian Drinking Water Quality recommend screening levels of 0.5 Bq/L and 1.0 Bq/L for gross alpha and gross beta activity, respectively. The screening levels are set to reflect the most restrictive Maximum Acceptable Concentrations (MACs) for specific radionuclides in drinking water. If the screening levels are not exceeded, compliance with the guidelines can be inferred. The screening levels set out in the Guidelines for Canadian Drinking Water Quality are calculated based on annual averages of radionuclides in drinking water. Short-term exposure to levels above those recommended by these guidelines does not indicate a health risk. The measured gross alpha and gross beta activity concentrations presented here are well below the screening levels set by the Guidelines for Canadian Drinking Water Quality, with only one exception to date. This occurred February 28, 2011, and was attributable to the flushing of lead pipes at the water treatment plant. It resulted in a spike of naturally occurring lead radionuclides that was dealt with immediately by the City of Ottawa. The map shows the approximate sampling location for each monitoring station. Stations are found within the associated location range.

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

A Conservation Unit (CU) is a group of wild Pacific salmon sufficiently isolated from other groups that, if extirpated, is very unlikely to recolonize naturally within an acceptable timeframe, such as a human lifetime or a specified number of salmon generations.Holtby and Ciruna (2007) provided a framework for aggregating the five species of salmon (genus Oncorhynchus) found on Canada’s Pacific coast into species-specific CUs based on three primary characteristics: ecotypology, life history and genetics. The first stage in the description of the Conservation Units is based solely on ecology. The ecotypologies used in this framework include a combined characterization of both freshwater and near-shore marine environments, and is termed “joint adaptive zone”. The second stage of the description involves the use of life history, molecular genetics, and further ecological characterizations to group and partition the first stage units into the final Conservation Units. The result is CUs that are described through the joint application of all three axes. It is important to note that CUs are distinct from other aggregates of Pacific salmon, such as designatable units (DUs) under the Species at Risk Act or management units (MUs).CU Counting Sites:Salmon spawner enumeration data in the Pacific Region is stored and managed in the New Salmon Escapement Database (NuSEDS). The term “escapement” is used to refer to the group of mature salmon that have ‘escaped’ from various sources of exploitation, and returned to freshwater to spawn and reproduce. This data is assigned to a “Counting Site”, which may be a complete watercourse with a marine terminus, a tributary to a larger watercourse, or a defined reach within a watercourse that may or may not encompass the entire population but represents an index of the abundance of that population. CU Status:CUs form the basic unit for assessment under Canada’s Policy for the Conservation of Wild Salmon Policy (WSP) (DFO 2005). The biological status of a CU is evaluated using a number of metrics (Holt et al. 2009; Holt 2009), which indicate a WSP status zone: Red (poor status), Amber (marginal status), or Green (healthy status). A final step then incorporates all metric and status-related information into a final integrated status for each CU, along with expert commentary to support the final status determination (e.g., DFO 2012; DFO 2016). This information is used as inputs to fisheries management processes to help prioritize assessment activities and management actions.Note: CU boundaries were reviewed in 2020-2021 and have been updated from the BC Freshwater Atlas 1:50,000 scale to the BC Freshwater Atlas 1:20,000 scale. The CU boundaries were last updated in March 2023. Please be aware that CUs may be reviewed and are subject to change without notice. Please refer to Conservation Unit Review Requests-Form and Summary for a list of CU review requests that are ongoing or have been finalized.

Salmon have a complex hierarchical population structure extending from groups of salmon at individual spawning sites all the way up to taxonomic species. These independently functioning aggregates are defined as Conservation Units (CUs) in the Wild Salmon Policy. A stock management unit (SMU) is a group of one or more CUs that are managed together with the objective of achieving a joint status.There are 69 SMUs containing 468 CUs. In 2022, eight SMUs units did not have enough information to provide an assessment. Sixty-one units were assigned a forecast. There are ongoing requests to represent salmon information for these areas. Salmon are assessed and managed at different levels for different needs. The layers in this dataset include administrative areas, stock management units, and conservation units.The data included is a shapefile containing a single feature class layer represented in point and polygon form, as well as a csv table (attributes) to present Stock Management Unit information in a simple, visual way.

Modeled data showing the likely distribution of California sealions. CRIMS is a legacy dataset of BC coastal resource data that was acquired in a systematic and synoptic manner from 1979 and was intermittently updated throughout the years. Resource information was collected in nine study areas using a peer-reviewed provincial Resource Information Standards Committee consisting of DFO Fishery Officers, First Nations, and other subject matter experts. There are currently no plans to update this legacy data.