The Open Database of Healthcare Facilities (ODHF) is a collection of open data containing the names, types, and locations of health facilities across Canada. It is released under the Open Government License - Canada.The ODHF compiles open, publicly available, and directly-provided data on health facilities across Canada. Data sources include regional health authorities, provincial, territorial and municipal governments, and public health and professional healthcare bodies. This database aims to provide enhanced access to a harmonized listing of health facilities across Canada by making them available as open data. This database is a component of the Linkable Open Data Environment (LODE).

Funded under DFO's Marine Conservation Targets Program, this optical imagery benthic survey documents the occurrence and estimated percent cover of the invasive colonial tunicate, Didemnum vexillum in seven drift-camera transects in the 'Head Harbour/West Isles Archipelago/The Passages' Ecologically and Biologically Significant Area (ESBA, ~113km2) in the western Bay of Fundy, New Brunswick, Canada. Occurrence data was derived from the use of high-resolution still images (n=386) taken periodically throughout each transect, and simultaneous continuous high-definition video. Video was divided into 20-second segments (here, we report the start and end location of each segment within a transect) and when D. vexillum was present in a video segment, frequency of occurrence was classified as common (continuous coverage/patches throughout the video segment), occasional (individual colonies of various sizes encountered >5 times throughout the video segment), or rare (small, isolated colonies encountered ≤5 times throughout the video segment). A video segment was deemed unusable and removed from the dataset if there was too much turbidity, or if the camera position was too high off-bottom to reliably image the seafloor. For still images, when D. vexillum was observed in an image, colony percent cover was categorized as >50%, 26-50%, 6-25%, or ≤5% of the images field of view (FOV). Distance travelled and distance between still images (m) was calculated using ArcGIS tools. FOV was estimated by measuring the length and width of a subset of still images and video frame grabs in ImageJ2, using 10-cm lasers for scale. FOV was standardized for each reported altitude, and area sampled (m2) along a continuous video segment was estimated by multiplying the average FOV by the distance travelled in that segment. D. vexillum was found in 44% of the area sampled at depths from 34 to 118m, deeper than previous reports globally of ~80m.Cite this data as: Teed LL, Goodwin C, Lawton P, Lacoursière-Roussel A, Dinning KM (2024) Multiple perspectives on the emergence of the invasive colonial tunicate Didemnum vexillum Kott, 2002 in the western Bay of Fundy, Atlantic Canada. BioInvasions Records 13(3): 713–738, https://doi.org/10.3391/bir.2024.13.3.12

All the specific addresses of the City of Rouyn-Noranda. **This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Administrative and territorial subdivisions of the City of Sherbrooke.attributs:ID - Unique identifierNumero - District numberName - Borough name - Borough name**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Breakdown of the electoral districts of the City of Rouyn-Noranda**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Hamlets are smaller settlement areas identified in municipal official plans, generally without municipal water and sewer servicing. For precise boundaries and locations of hamlets, the appropriate municipality should be consulted.

Modeled data showing the likely distribution of dall's porpoises. 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.

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.

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.