All island polygons. Islands may overlap as there are islands within islands (e.g., a lake on an island contains an island). GNIS_NAME_1 contains the most atomic name for the island. For example, there are 3797 "Haida Gwaii" islands. If the island has not been named as part of a more specific group or with an individual name, "Haida Gwaii" is the GNIS_NAME_1 value. GNIS_NAME_2 and GNIS_NAME_3 values are null. If the island has a more specific name, "Haida Gwaii" moves to GNIS_NAME_2, and the more atomic name, such as "Moresby Island" is the GNIS_NAME_1. If the island has an individual name, belongs to a group, and is part of Haida Gwaii, the same logic of naming from most to least specific applies. For example, GNIS_NAME_1 = "George Island", GNIS_NAME_2 = "Copper Islands", GNIS_NAME_3 = "Haida Gwaii".

Two classes of beaches are distinguished, those with infrastructure and those without. Beaches with infrastructure: open sandy beaches along the shore of a great lake, within approximately 200 meters of a structure. Beaches without infrastructure: open sandy beaches along the shore of a great lake, not within 200 meters of a structure. The Southern Ontario Land Resource Information System didn't digitize beaches. Beaches were digitized by Austin Troy from Google Earth. This product requires the use of GIS software. *[GIS]: geographic information system

Buildings located on the territory of the City of Sherbrooke and belonging to one of the following categories: business, hospital, school or municipal building. These categories are respectively associated with subtype codes 2, 3, 4, and 5 attributes:ID - Unique IdentifierSubtype - Building Subtype Code (2 - Business, 3 - Hospital, 4 - Hospital, 4 - School, 4 - School, 5 - Municipal Building)**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Unstructured areas in agricultural areas of the revised land use and development plan of the City of Laval**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Description: Night-time sea surface temperature (SST) was acquired from the AVHRR Pathfinder project, with data distributed by NOAA, and averaged into monthly climatological composites. The data span late 1981 through 2010 at 4 km pixel resolution. Methods: AVHRR Pathfinder version 5.3 Level 3C night Sea Surface Temperature (SST) was acquired from NOAA at 4 km spatial resolution. The monthly mean value at all pixels was calculated for individual years, then all years were combined to produce final maps of monthly mean and monthly standard deviation of SST, and the number of occurrences of valid data at each pixel over the period of observation. The quality level of all satellite observations was also acquired with this dataset, and used to remove any pixels with a quality level lower than 4. Further, pixels with fewer than two occurrences over the period 1981-2010 were removed from these maps, and set to a NaN value in the tif files. All resulting rasters were cropped to the Canadian Exclusive Economic Zone and assigned to the NAD83 geographic coordinate reference system (EPSG:4269), and have a final pixel resolution of approximately 0.0417 degrees. The monthly mean, monthly standard deviation, and number of occurrences for all pixels are provided. Uncertainties: Satellite values have been evaluated against global datasets, and datasets of samples in the Pacific region (see references). However, uncertainties are introduced when averaging together images over time as each pixel has a differing number of observations. Short-lived or spatially limited events may be missed.

This report outlines the results of a project that created a series of maps tracking inshore historical Lobster fishing district boundaries from 1899 to present. This work has been part of Fisheries and Oceans Canada’s (DFO) Blue Economy Lobster Team (BELT) pilot project on the Lobster fishery. To provide the context for the use of historical information within fisheries research, this report provides a brief summation of the discipline of history, its purpose, and its methods. It also describes the different ways that historical data has been used to support the analysis of fisheries, and some of the ways that historians have integrated the techniques of natural and social sciences into their own work. It provides an overview of how the BELT has incorporated historical methods and methodologies into the team’s overall work. The report presents two sets of maps that outline geographical changes in Lobster fishing districts (called Lobster Fishing Areas after 1985) as well as changes in minimum legal size (MLS) and season length information. These maps help to inform a larger understanding of the historical Lobster fishery in the present-day Maritimes Region, and highlight several themes within the fishery. This includes the increasingly intensive regulation of the fishery over time, the inshore nature of the Lobster fishery for the majority of the twentieth century, the variability in the boundaries of Lobster districts over time, and the broad transition from a cannery-based market to a live Lobster market. The maps taken as a whole help to demonstrate consistency of the regulatory approach to Lobster over the twentieth century. However, there are limitations to the interpretive capacity of these maps, as more work should be done to investigate the specific reasoning behind why each change occurred. **Note: The outer boundaries depicted from 1899-1974 are not meant to represent areas where DFO or its predecessor departments had complete or authoritative control of the inshore fishery. In past regulations, districts were described as “on and along the coast.” The outer boundaries assigned to maps prior to 1985 were chosen to make the maps easy to understand relative to current lobster fishing areas.

Bicycle network of the revised urban and development plan of the City of Laval**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Species distribution models (SDMs) are tools that combine species observations of occurrence, abundance, or biomass with environmental variables to predict the distribution of a species in unsampled locations. To produce accurate predictions of occurrence, abundance or biomass distribution, a wide range of physical and/or biological variables is desirable. Such data is often collected over limited or irregular spatial scales, and require the application of geospatial techniques to produce continuous environmental surfaces that can be used for modelling at all spatial scales. Here we provide a review of 102 environmental data layers that were compiled for the entire spatial extent of Fisheries and Oceans Canada’s (DFO) Maritimes Region. Variables were obtained from a broad range of physical and biological data sources and spatially interpolated using geostatistical methods. For each variable we document the underlying data distribution, provide relevant diagnostics of the interpolation models and an assessment of model performance, and present the final standard error and interpolation surfaces. These layers have been archived in a common (raster) format at the Bedford Institute of Oceanography to facilitate future use. Based on the diagnostic summaries in this report, a subset of these variables has subsequently been used in species distribution models to predict the distribution of deep-water corals, sponges, and other significant benthic taxa in the Maritimes Region. Cite this data as: Beazley, Lindsay; Guijarro, Javier, Lirette; Camille; Wang, Zeliang; Kenchington, Ellen (2020). Characteristics of Environmental Data Layers for Use in Species Distribution Modelling in the Maritimes Region. Published July 2023. Ocean Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/34a917cb-a0e3-403c-91c7-af3dc20628b1

This interactive map commemorates Canada’s participation in armed conflicts at home and abroad by highlighting a sample of the many geographical features and places named for those that served our country. These commemorative geographical names help us remember war casualties, soldiers, sailors, airmen and airwomen, military leaders, and civilians recognized or decorated for outstanding acts of bravery and sacrifice in battle. These names also commemorate notable battles in which Canada participated, and Canadian military units, regiments, squadrons, and ships in which Canadians served. Federal, provincial and territorial members of the Geographical Names Board of Canada provided these commemorative names for the development of the map. Many more commemorative place names exist in Canada, and will be added in future releases of this evergreen interactive map. If you would like to contribute names to this project, please contact the Geographical Names Board of Canada Secretariat at Natural Resources Canada.