This table contains information about 11 animal types associated with assigned cases in the Manitoba Animal Welfare Program.This table contains information about animal types, grouped into 11 categories, associated with assigned cases in the Manitoba Animal Welfare Program for each year, starting in 2016, to the most recent quarter. This data is populated by the Provincial Animal Welfare Database for the Manitoba Animal Welfare Program. It is displayed in the Manitoba Animal Welfare Program – Animal Types chart. The table is updated on a quarterly basis. Fields included [Alias (Field Name): Field description] SpeciesStatsGrouping (SpeciesStatsGrouping): Includes one of the possible 11 animal type groups associated with each assigned case (e.g., Avian, Bison, Bovine) Year (Year): Includes the year, beginning in 2016, to the current year (e.g., 2016, 2017, 2018) Month (Month): Includes the numeric value of all months in a calendar year (e.g., 1, 2, 3) Quarter (Quarter): Includes the numeric values of all quarters in a calendar year (e.g., 1, 2, 3, 4), where quarter 1 corresponds with January, February and March, quarter 2 corresponds with April, May and June, quarter 3 corresponds with July, August and September and quarter 4 corresponds with October, November and December YQ (YQ): Includes the year and quarter of the most recent 12 quarters (e.g., 2021 Q1, 2021 Q2 )

This table contains information about non-compliances to five sections under The Animal Care Act.This table contains information about the number of non-compliances found to five sections of The Animal Care Act for each year, starting in 2016, to the most recent quarter. This data is populated by the Provincial Animal Welfare Database for the Manitoba Animal Welfare Program and is displayed in the Manitoba Animal Welfare Program – Non-Compliances to The Animal Care Act chart. The table will be updated on a quarterly basis. Fields included [Alias (Field Name): Field description] LookActStatsGrp (LookActStatsGrp): Includes the section under The Animal Care Act for which non-compliances were found Year (Year): Includes the year, beginning in 2016, to the current year (e.g., 2016, 2017, 2018) Month (Month): Includes the numeric value of all months in a calendar year (e.g., 1, 2, 3) Quarter (Quarter): Includes the numeric values of all quarters in a calendar year (e.g., 1, 2, 3, 4), where quarter 1 corresponds with January, February and March, quarter 2 corresponds with April, May and June, quarter 3 corresponds with July, August and September and quarter 4 corresponds with October, November and December YQ (YQ): Includes the year and quarter of the most recent 12 quarters (e.g., 2021 Q1, 2021 Q2 )

This table contains information about the status, actions and outcomes from inspections conducted by Animal Protection Officers (APO) and prosecutions in the Manitoba Animal Welfare Program.This table contains information about the status, actions and outcomes from inspections conducted by Animal Protection Officers (APO) and prosecutions in the Manitoba Animal Welfare Program for each year, starting in 2016, to the most recent quarter. This data is populated by the Provincial Animal Welfare Database for the Manitoba Animal Welfare Program and is displayed in the Manitoba Animal Welfare Program – Case Outcomes dashboard. The table will be updated on a quarterly basis. Fields included [Alias (Field Name): Field description] StatusGroups2 (StatusGroups2): Includes the status, actions or outcomes that have occurred throughout each assigned case DashboardGrouping2 (DashboardGrouping2): Includes the dashboard element under which the statuses need to be grouped for each assigned case Year (Year): Includes the year, beginning in 2016 to the current year (e.g., 2016, 2017, 2018) Month (Month): Includes the numeric value of all months within a calendar year (e.g., 1, 2, 3) Quarter (Quarter): Includes the numeric values of all quarters in a calendar year (e.g., 1, 2, 3, 4), where quarter 1 corresponds with January, February and March, quarter 2 corresponds with April, May and June, quarter 3 corresponds with July, August and September and quarter 4 corresponds with October, November and December YQ (YQ): Includes the year and quarter of the most recent 12 quarters (e.g., 2021 Q1, 2021 Q2 )

This table contains information about the number of cases reported, inspections conducted, and non-compliances to The Animal Care Act from 2016 to present.This table contains information about the number of cases reported, inspections conducted, and non-compliances to The Animal Care Act for each year, starting in 2016, to the most recent quarter. These data are populated by the Provincial Animal Welfare Database for the Manitoba Animal Welfare Program and are displayed in the Manitoba Animal Welfare Program – Trends chart. The table will be updated on a quarterly basis. Fields included [Alias (Field Name): Field description] Category (Category): Includes the year, beginning in 2016, to the current year (e.g., 2016, 2017, 2018) # of cases reported (F__of_cases_reported): Includes the total number of cases reported for each year # of inspections conducted (F__of_inspections_conducted): Includes the total number of inspections conducted for each year # of non-compliances found* (F__of _non_compliances_found_): Includes the total number of non-compliances found following an inspection for each year * The number of non-compliances found as a result of an inspection by an Animal Protection Officer (APO) include animals deemed abandoned, issued notice of seizure, custody and distress, Director’s Order issued, surrendered ownership and recommendations for improvements.

Table of animal samples requested for rabies testing in Manitoba since the province took over the rabies program on April 1, 2014.This table contains information on animal samples requested for rabies testing in Manitoba since the province took over the rabies program on April 1, 2014.  As of that date, the Canadian Food Inspection Agency (CFIA) is no longer involved with managing rabies cases in Manitoba. The provincial Rabies Management Program is now coordinated by Manitoba Rabies Central, which is a collaborative effort involving the Manitoba departments of Health, and Environment, Climate and Parks. Samples for rabies testing are requested by Manitoba Health in cases of human exposure to a suspected rabid animal, and by Agriculture in the case of animal exposure to another suspect rabid animal. Collection of a sample from the suspect rabid animal is coordinated by Agriculture.  This information will be updated on a quarterly basis. This data is used in the Manitoba Rabies Surveillance Dashboard. Fields included (Alias (Field Name): Field Description.) Region (Region): Regional health authority where the affected person or animal was exposed Fiscal Year (Fiscal_Year): Government of Manitoba fiscal year (April 1-March 31) when the rabies testing was requested Date (Date): Date when the sample for rabies testing was requested Year (Year): Calendar year (January 1-December 31) when the sample for rabies testing was requested Species (Species): Animal species of the sample requested for rabies testing Result (Result): Laboratory result of the sample tested for rabies.

Table containing information relevant to animal disease investigations in Manitoba from 2012 to present.This table contains information relevant to animal disease investigations in Manitoba from 2012 to present, conducted by the Chief Veterinary Office (CVO). Information includes year, number of sites, number of linked sites, animal species, disease types and results. Updated on a weekly basis.  It is important that users are aware of the following caveats when reviewing data presented in the Animal Disease Investigations Dashboard: 1. Each investigation can have one or more cases involved depending on the number of herds or animals exposed.  Not all disease investigations are handled the same due to a partnership approach.  Diseases can be detected via surveillance, ad hoc reporting, or through other programs. 2. Rabies is a separate program. Please see Manitoba's Provincial Rabies Management Program for data related to Rabies Surveillance.3. Certain zoonotic diseases, such as salmonella or influenza, are also captured in more detail through other means.  The total occurrence of a zoonotic disease represented in this dashboard reflects occurrences where risks or exposures were deemed significant enough to warrant further investigation.  4. Historically, One Health Investigations that were predominantly focused on Public Health issues rather than Animal Health concerns were not captured in this system and will be underrepresented here. Fields included ( Alias (Field Name): Field description.) Year (Year): Year of the disease investigation Number of Sites (Number_of_Sites): Number of investigation sites Number of Linked Sites (Number_of_Linked_Sites): Number of sites linked to investigation sites Species/Class (Species__Class): Group of animal species Disease Type (Disease_Type): The type of disease that is being investigated Result (Result): The outcome (positive/negative) for the corresponding animal disease investigation

The St. Lawrence Estuary is known as a summer foraging area for several species of marine mammals, including several species of rorquals. Among these is the blue whale, which feeds almost exclusively on euphausiids. Therefore, the abundance, distribution and local density of krill should logically be a strong explanatory variable for the distribution of blue whales. However little is known about the spatial association of blue whales with the aggregation dynamics of krill in eastern Canada. Six years of acoustic surveys, conducted in August from 2009 to 2014, were undertaken to study the medium- and small-scale distribution of krill within the northwestern Gulf of St. Lawrence and estuary. The data shows a mosaic of the maximum annual density of arctic krill (T. raschii) made from these surveys.McQuinn, I.H., Gosselin, J.-F., Bourassa, M.-N., Mosnier, A., St-Pierre, J.-F., Plourde, S., Lesage, V., Raymond, A. 2016. The spatial association of blue whales (Balaenoptera musculus) with krill patches (Thysanoessa spp. and Meganyctiphanes norvegica) in the estuary and northwestern Gulf of St. Lawrence. DFO Can. Sci. Advis. Sec. Res. Doc. 2016/104. iv + 19 p.

PURPOSE:This study is part of a two-decade series of research aimed to provide a comprehensive synthesis of the effects of harvest and environmental change on fisheries in Great Bear Lake. The main objectives are to assess demographic traits and the current status of harvested species, with a focus on evaluating sustainable harvest levels of lake trout, a cold-adapted species with a relatively narrow thermal niche. As part of this research, trends in water quality are monitored to evaluate potential effects of change on fisheries. DESCRIPTION:Great Bear Lake, one of the largest lakes in North America, contains culturally and recreationally important fish species. Great Bear Lake is located in the sub-Arctic and Arctic Circle. As part of a two-decade series of research aimed to provide a comprehensive synthesis of the effects of harvest and environmental change on fisheries in Great Bear Lake, the main objectives of this study are to assess demographic traits and the current status of harvested species, with a focus on evaluating sustainable harvest levels of lake trout, a cold-adapted species with a relatively narrow thermal niche. As part of this research, trends in water quality are monitored to evaluate potential effects of change on fisheries. From 2000 to 2011, surface water temperature data was collected at depths of approximately 0.1 to 1.0 meters using a handheld digital thermometer through partnered community-led and community/Fisheries and Oceans Canada/ university partners collaborative sampling. The project has strong community involvement, including youth through the Guardian Program, to facilitate capacity building and community leadership in the long-term monitoring of Great Bear Lake fisheries and the aquatic ecosystem. This data is the beginning in a series of baseline data sets on water quality from this lake. These data will contribute to a better understanding of cumulative impacts of climate change on the functioning of large northern lake ecosystems, and provide a benchmark for monitoring further change. This data will be important for developing effective strategies for maintaining community-led aquatic monitoring and managing natural resources, particularly fish, which are expected to be increasingly important to communities with declines in other country foods such as caribou. We acknowledge the data were collected in the Sahtú Settlement Area and are made publicly available with the agreement of the Délı̨nę Renewable Resources Council (Délı̨nę Ɂehdzo Got’ı̨nę (Renewable Resources Council)).Collaborators include: the Community of Délı̨nę partners (data collection), Délı̨nę Renewable Resource Council, Sahtú Renewable Resource Board, Great Lakes Fisheries Commission, and University of Alberta. Community of Délı̨nę partners and field workers that participated in data collection include Jane Baptiste, Doug Baton, Moise Beyonnie, Gloria Gaudette, Bruce Kenny, Greg Kenny, Hughie Kenny, Jonas Kenny, Morris Lennie, George Menacho, Morris Modeste, Nathan Modeste, Isreal Neyelle, Lyle Neyelle, Clyde Takazo, Lucy Ann Takazo, Freddie Vital, Cameron Yukon, Cyre Yukon, Tyrone Yukon, Charity Yukon, Chris Yukon, Archie Vital, John Betsidea, and Barbara Yukon.Funding and logistical support was provided by: Northwest Territories Cumulative Impact Monitoring, Sahtú Renewable Resource Board, the Polar Continental Shelf Program, Canadian Circumpolar Institute, Natural Sciences and Engineering Research Council of Canada, Government of Northwest Territories Renewable Resources Délı̨nę, and Fisheries and Oceans Canada.

PURPOSE:This study is part of a two-decade series of research aimed to provide a comprehensive synthesis of the effects of harvest and environmental change on fisheries in Great Bear Lake. The main objectives are to assess demographic traits and the current status of harvested species, with a focus on evaluating sustainable harvest levels of lake trout, a cold-adapted species with a relatively narrow thermal niche. As part of this research, trends in water quality and primary productivity are monitored to evaluate potential effects of change on fisheries. DESCRIPTION:Great Bear Lake, one of the largest lakes in North America, contains culturally and recreationally important fish species. Great Bear Lake is located in the sub-Arctic and Arctic Circle. As part of a two-decade series of research aimed to provide a comprehensive synthesis of the effects of harvest and environmental change on fisheries in Great Bear Lake, the main objectives of this study are to assess demographic traits and the current status of harvested species, with a focus on evaluating sustainable harvest levels of lake trout, a cold-adapted species with a relatively narrow thermal niche. As part of this research, trends in water quality and primary productivity are monitored to evaluate potential effects of change on fisheries. From 2021 to 2024, surface water temperature data was collected at depths of 0.1 to 1.0 meters using an RBR Maestro3 through partnered community-led and community/Fisheries and Oceans Canada/university partner collaborative sampling. The project has strong community involvement, including youth through the Guardian Program, to facilitate capacity building and community leadership in the long-term monitoring of Great Bear Lake fisheries and the aquatic ecosystem. This data is an extension of baseline data sets on water quality on the lake. These data will contribute to a better understanding cumulative impacts of climate change on the functioning of large northern lake ecosystems and provide a benchmark for monitoring further change. This data will be important for developing effective strategies for maintaining community-led aquatic monitoring and managing natural resources, particularly fish, which are expected to be increasingly important to communities with declines in other country foods such as caribou.We acknowledge the data were collected in the Sahtú Settlement Area and are made publicly available with the agreement of the Délı̨nę Renewable Resources Council (Délı̨nę Ɂehdzo Got’ı̨nę (Renewable Resources Council)). Collaborators include: the Community of Délı̨nę partners (data collection), Délı̨nę Renewable Resource Council, Sahtú Renewable Resource Board, and University of Manitoba. Community of Délı̨nę partners and field workers that participated in data collection include Chris Yukon, Archie Vital, Ted Mackienzo, Daniel Baton, Lloyd Baton, Simon Neyelle, and Stanley Ferdanan.Funding and logistical support was provided by: Northwest Territories Cumulative Impact Monitoring, Sahtú Renewable Resource Board, the Polar Continental Shelf Program and Fisheries and Oceans Canada.

PURPOSE:As a part of a two-decade series of research, this study aims to provide a comprehensive synthesis of the effects of harvest and environmental change on fisheries in Great Bear Lake. The main objectives are to assess demographic traits and the current status of harvested species, with a focus on evaluating sustainable harvest levels of lake trout, a cold-adapted species with a relatively narrow thermal niche. As part of this research, trends in water quality and primary productivity are monitored to evaluate potential effects of change on fisheries. DESCRIPTION:Great Bear Lake, one of the largest lakes in North America, contains culturally and recreationally important fish species. Great Bear Lake is located in the sub-Arctic and Arctic Circle. As part of a two-decade series of research aimed to provide a comprehensive synthesis of the effects of harvest and environmental change on fisheries in Great Bear Lake, the main objectives of this study are to assess demographic traits and the current status of harvested species, with a focus on evaluating sustainable harvest levels of lake trout, a cold-adapted species with a relatively narrow thermal niche. As part of this research, trends in water quality and primary productivity are monitored to evaluate potential effects of change on fisheries. From 2012 to 2019, surface water temperature data was collected at depths of 0.1 to 1.0 meters using a Hydrolab Series 5 Data Sonde Multiparameter instrument through partnered community-led and community/Fisheries and Oceans Canada/university partners collaborative sampling. The project has strong community involvement, including youth through the Guardian Program, to facilitate capacity building and community leadership in the long-term monitoring of Great Bear Lake fisheries and the aquatic ecosystem. This data is an extension of baseline data sets on water quality on the lake. These data will contribute to a better understanding cumulative impacts of climate change on the functioning of large northern lake ecosystems and provide a benchmark for monitoring further change. This data will be important for developing effective strategies for maintaining community-led aquatic monitoring and managing natural resources, particularly fish, which are expected to be increasingly important to communities with declines in other country foods such as caribou. We acknowledge the data were collected in the Sahtú Settlement Area and are made publicly available with the agreement of the Délı̨nę Renewable Resources Council (Délı̨nę Ɂehdzo Got’ı̨nę (Renewable Resources Council)).Collaborators include: the Community of Délı̨nę partners (data collection), Délı̨nę Renewable Resource Council, University of Manitoba, University of Queens, University of British Columbia, University of Alberta, Environment and Climate Change Canada, and Great Lakes Fisheries Commission, Sahtú Renewable Resource Board. Community of Délı̨nę partners and field workers that participated in data collection include Daniel Baton, Morris Betsidea, Joey Dillion, Jade English, Stanley Ferdanan, Bruce Kenny, Elaine Kenny, Darren Kenny, Greg Kenny, Joseph Kenny, Rocky Kenny, Ted Mackienzo, George Menacho, Bobby Modeste, Gina Nyelle, Brent Taniton, Allison Tatti, Gerald Tutcho, Archie Vital, Barbara Yukon, Caroline Yukon, Chris Yukon, and Cyre Yukon.Funding and logistical support was provided by: Northwest Territories Cumulative Impact Monitoring, Natural Sciences and Engineering Research Council of Canada, Environment and Climate Change Canada, Sahtú Renewable Resource Board, the Polar Continental Shelf Program, and Fisheries and Oceans Canada.