Tick data collected by Mount Allison University including Lyme disease test results. *This data has been generalized for privacy and is only based on ticks sent to Mount Allison University

Municipalities with established populations of _Ixodes scapularis_ ticks (blacklegged ticks) are municipalities where tick populations reproduce and survive from one year to the next. This indicator makes it possible to identify municipalities where their presence suggests a higher risk of tick bites and the transmission of diseases, such as Lyme disease, anaplasmosis or babesiosis. In other municipalities without an established population, the presence of ticks is possible, as ticks can be carried there by birds or terrestrial mammals. The data used to build this indicator come from passive and active acarological surveillance. Active and passive surveillance data were accumulated and then aggregated by municipality and by year. This made it possible to determine whether an established tick population is identified by the indicator at least 1 year over the study period.The climate zone favorable to the establishment of ticks _Ixodes scapularis_ highlights the areas where the estimated temperature would be favorable to the establishment of tick populations in Quebec. An area where the climate is favorable for the establishment of tick populations is defined by an annual number of degree-days above 0°C (DJ0). This indicator was calculated for the historical surveys 2009-2017 (current distribution) and for the horizons of 2030, 2050 and 2080 according to the climate scenarios SSP2-4.5 and SSP3-7.0 (future distribution). The DJ0 are calculated by calculating the difference between the daily mean temperature and the 0°C reference temperature used in this situation, then interpolating on a 10km x 10km grid. The final DJ0 value used is the 50th percentile.For more information on municipalities with established populations of _Ixodes scapularis_ ticks or the climatic zones favorable to their establishment you can consult the * [Methodological Report] (https://www.inspq.qc.ca/publications/3483) * OR the * [INSPQ website, Current and future distribution maps of zoonoses in Quebec] (https://www.inspq.qc.ca/zoonoses/cartes) *.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Tick data collected by Geneticks and Mount Allison University, including test results for various types of pathogens. For instructions on how to view and search this dataset there are posted resources at https:/

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.

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.

Surveyed Borders are an Administrative Land Object that represents the spatial limits of a jurisdiction that is created and managed as a separate entity within the ICM database. In the original ICM dataset from NRCAN, this feature class is called Administrative Boundaries. Administrative Boundaries are available for the Yukon Territory, Northwest Territories and Nunavut and may include International, Provincial and Territorial boundaries. This cadastral framework provides a parcel base of properly structured vector data designed and suited for Geographical Information System (GIS) application and can be used for land management purposes. This data set is not be used for defining boundaries. Administrative decisions should be based on legal documents and legal survey plans.Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)

A federal electoral district is an area represented by a member of the House of Commons. The Federal Electoral Districts (FED) dataset is a digital representation of the 338 electoral districts proclaimed by the Representation Order of 2013. This dataset is an update of the 2013 Federal Electoral Districts (FED) 2013.

This dataset is a collaborative project by Natural Resources Canada and the federal, provincial and territorial members of the Geographical Names Board of Canada, illustrating a curated selection of official geographical names in Canada that have changed over time. The selection comes from the Canadian Geographical Names Database, displaying additional information including the previous name(s) of each feature, the year and the reason why the names changed along with a short history of each name change.

Borders captured at 1:1,000,000 scale from Digital Chart of the World data for the Yukon and surrounding area.Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)

This layer contains point representation of railway stations and bridges along the Alberta railway network.