An Element Occurrence (EO) is an area of land and/or water in which a species or ecological community is, or was, present. An Element is either a species (or subspecies taxa) or an ecological community, the Occurrence is the documented location. The EO concept is part of NatureServe methodology. This methodology is used throughout the NatureServe network. EOs are created based on the Element Occurrence Data Standard and are a derived product developed from submitted observations. An EO should have practical conservation value for the Element as evidenced by potential continued (or historical) presence and/or regular recurrence at a given location. For Species Elements, the EO often corresponds with the local population, but when appropriate may be a portion of a population (e.g., for long distance dispersers) or may be a group of nearby populations (e.g., metapopulation). For Ecological Community Elements, the EO may represent a stand or patch of a natural community, or a cluster of stands or patches of a natural community. This dataset contains Non-sensitive EOs. Non-Sensitive EOs are locations (i.e. occurrences) of species or communities that are rare (or of conservation concern for some other reason) and for which there are no restrictions regarding public access to location data (beyond agreeing to the Terms and Conditions detailed below). This data updates on a daily basis.

An Element Occurrence (EO) is an area of land and/or water in which a species or ecological community is, or was, present. An Element is either a species (or subspecies taxa) or an ecological community, the Occurrence is the documented location. The EO concept is part of NatureServe methodology. This methodology is used throughout the NatureServe network. EOs are created based on the Element Occurrence Data Standard and are a derived product developed from submitted observations. An EO should have practical conservation value for the Element as evidenced by potential continued (or historical) presence and/or regular recurrence at a given location. For Species Elements, the EO often corresponds with the local population, but when appropriate may be a portion of a population (e.g., for long distance dispersers) or may be a group of nearby populations (e.g., metapopulation). For Ecological Community Elements, the EO may represent a stand or patch of a natural community, or a cluster of stands or patches of a natural community. This dataset contains Sensitive EOs. Sensitive EOs are occurrences of species that are rare (or of conservation concern) and in these cases the precise location details cannot be distributed without due cause. In most cases these locations are not freely available because the species are legally listed (for example, under Schedule 1 of the Species at Risk Act) or are of particular concern to the Alberta government, thus Sensitive EO data in this layer is hazed (generalized) to the Alberta Township System Township (ATS) polygons (v4.1). This data updates on a daily basis.

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

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

This polygon dataset represents Crown land parcels contained within flood compensation/settlement agreements with certain Northern Affairs communities, excluding First Nations.The purpose of this dataset is to show Crown land parcels contained within flood compensation/settlement agreements with certain Northern Affairs communities, not including First Nations. The dataset includes the Grand Rapids Forebay (GRF) agreements for the Northern Affairs communities of Moose Lake and Easterville, plus recently added Cross Lake Community and Norway House Community Settlement lands. The agreements provide for lands to be held by permit and/or certificate of title in the name of a community corporation, or set aside for traditional use. Best efforts have been made to reasonably represent the parcels within the dataset as set out in the respective agreements. The mapped parcels are not removed (or regularly updated) following survey or transfer of any Crown (Manitoba) land to the community. All boundaries are to be considered approximate and for illustrative purposes only. For more information on individual agreements please visit the Manitoba government website: https://www.gov.mb.ca/inr/settlements-and-other-agreements/index.html Fields included [Alias (Field Name): Field description] OBJECTID (OBJECTID): Sequential unique whole numbers that are automatically generated ID Number (ID): A unique number identifying the Community Agreement parcel Community (COMMUNITY): Name of community for which a land parcel is held Site Name (SITE_NAME): Name of land parcel Site Type (SITE_TYPE): Site type description. Sites can be held as fee simple, permit lands, traditional use protected area, community boundary expansion, and quarry lease. Area in Square Metres (AREA): Land parcel area in square metres Area in Hectares (HECTARES): Land parcel area in hectares Area in Acres (ACREAGE): Land parcel area in acres Agreement Name (AGREEMENT): Name of settlement agreement under which the land is administered Date of Agreement (AGREE_DATE): Date of settlement agreement under which the land is administered

The Community Well-Being (CWB) Index is a method of assessing socio-economic well-being in Canadian communities. Various indicators of socio-economic well-being, including education, labour force activity, income and housing, are derived from Statistics Canada's Census of Population and combined to give each community a well-being "score". These scores are used to compare well-being across First Nations and Inuit communities with well-being in other Canadian communities. Indicator values may be missing for a community because of non-participation in the census, inadequate data quality, or insufficient population size. For more information on the subject, visit https://www.sac-isc.gc.ca/eng/1100100016579.

As the COVID-19 pandemic spreads, researchers and health professionals have noted large differences in the impact that the infection has on individuals. Whereas some remain asymptomatic and unaware of their infection or experience only mild symptoms, others require hospitalization, ventilation, and may even die. As research evidence accumulates, both nationally and internationally, it appears that certain health characteristics, such as obesity or the presence of chronic conditions, increase the risk of severe outcomes among those who are infected with the novel coronavirus.To better understand which segments of the Canadian population may be vulnerable to severe health outcomes related to COVID-19, Statistics Canada and the Public Health Agency of Canada have worked collaboratively to build an index of underlying health conditions in the adult household population. Using information from the 2017/2018 Canadian Community Health Survey, new data tables released today estimate the proportion of the adult household population who may be at greater risk of severe health outcomes related to COVID-19 due to the presence of underlying health conditions.

The Indigenous Community Infrastructure dataset depicts infrastructure projects across Canada that are supported by Indigenous Services Canada (ISC) targeted infrastructure funding. It contains data related to project category, description, status, departmental investment and community. The dataset allows the Department to pinpoint and share information about individual infrastructure projects in Indigenous communities, in a proactive and transparent manner, to: • Showcase where and how investments are carried out • Demonstrate the Government’s commitment to address socio-economic gaps between Indigenous and non-Indigenous communities in Canada and improve access to high-quality servicesProjects featured in this Indigenous Community Infrastructure dataset are updated on a quarterly basis. Because some projects will benefit more than one community, the number of projects does not match the number of markers on the map or of entries in the dataset.For more information, visit https://www.sac-isc.gc.ca/eng/1526995988708/1526996020578.

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.

This service shows the proportion of commuters using sustainable transportation for Canada by 2016 census subdivision. The data is from the data table Main Mode of Commuting (10), Commuting Duration (7), Time Leaving for Work (7), Sex (3) and Age (5) for the Employed Labour Force Aged 15 Years and Over Having a Usual Place of Work or No Fixed Workplace Address, in Private Households of Canada, Provinces and Territories, Census Divisions and Census Subdivisions, 2016 Census - 25% Sample Data, Statistics Canada Catalogue no. 98-400-X2016324.'Main mode of commuting' refers to the main mode of transportation a person uses to travel between his or her home and his or her place of work. 'Sustainable transportation' refers to persons using public transit (bus; subway or elevated rail; light rail, streetcar or commuter train; or passenger ferry) or active transport (walked or bicycle). For additional information refer to 'Main mode of commuting' in the 2016 Census Dictionary.For additional information refer to 'Main mode of commuting' in the 2016 Census Dictionary.To have a cartographic representation of the ecumene with this socio-economic indicator, it is recommended to add as the first layer, the “NRCan - 2016 population ecumene by census subdivision” web service, accessible in the data resources section below.