This layer represents the seasonal distribution of the St. Lawrence Estuary beluga whale population (Delphinapterus leucas). Three groups are represented: females with calf, adult males and mixed sectors. Herd distribution was defined using Fisheries and Oceans Canada (DFO) published data about beluga whales (see references).Herd distribution areas are only valid during the summer, and the uses of these areas by the herds are unknown.Data source :Michaud, R. 1993. Distribution estivale du béluga du St-Laurent; synthèse 1986-1992. Can. Tech. Rep. Fish. Aquat. Sci. 1906: vi + 28 p.

During the period of 1987 to 1994, Robin J. LeBrasseur and N. Brent Hargreaves lead a juvenile salmon predation research project in Alberni Inlet and Barkley Sound BC. This dataset contains the research survey catch data and individual fish examinations data.

List of locations of B.C. public and B.C. private degree granting and non-B.C. degree granting post-secondary institutions.

This interactive map is a collaborative project by the Geographical Names Board of Canada, illustrating a curated selection of places in Canada with names that have origins in multiple Indigenous languages. The names selected show the history and evolution of Indigenous place naming in Canada, from derived and inaccurate usage, to names provided by Indigenous organisations. Many Indigenous place names convey stories, knowledge, and descriptions of the land. By celebrating these names through this map, the Geographical Names Board of Canada hopes to increase the awareness of existing Indigenous place names and help promote the revitalization of Indigenous cultures and languages. Many more Indigenous place names exist in Canada and will be added in future releases of this map. The content of this map is a compilation of information obtained from many current and historical sources. The Geographical Names Board of Canada does not warrant or guarantee that the information is accurate, complete or current at all times. For more information, to report data errors, or to suggest improvements to this application, please contact the Geographical Names Board of Canada Secretariat.

Current Land Act tenures and applications for such tenures: a subset of crown land dispositions that are issued for specific purposes and periods of time under an agreement between an individual or company and the provincial government for an interest in crown land. Conveyances of ownership are not included. For example Leases, Licenses and Reserves are included, but Crown Grants and Acquisitions are not. Historical records (e.g. expired, replaced, or completed) are not included in this view.

This service shows the median after-tax income of lone parent families in 2015 for Canada by 2016, census subdivision. The data is from the data table Household Income Statistics (3) and Household Type Including Census Family Structure (11) for Private Households of Canada, Provinces and Territories, Census Divisions and Census Subdivisions, 2016 Census - 100% Data, Statistics Canada Catalogue no. 98-400-X2016099.This data pertains to households with one lone-parent census family without other persons in the household. In the context of census families, total income refers to receipts from certain sources of all of its family members, before income taxes and deductions, during a specified reference period. After-tax income refers to total income less income taxes of the statistical unit during a specified reference period. The median income of a specified group is the amount that divides the income distribution of that group into two halves. For additional information refer to the 2016 Census Dictionary for 'Total income', 'After-tax income' and 'Census family'.For additional information refer to the 2016 Census Dictionary for 'Total income', 'After-tax income' and 'Census family'.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.

This dataset shows the Precambrian Domains for the Province of Saskatchewan.This dataset shows the Precambrian Domains for the Province of Saskatchewan. Mapping in support of the dataset includes years of field observations which were then compiled and integrated into this dataset. The data was created as a file geodatabase feature class and output for public distribution. **Please Note – All published Saskatchewan Geological Survey datasets, including those available through the Saskatchewan Mining and Petroleum GeoAtlas, are sourced from the Enterprise GIS Data Warehouse.  They are therefore identical and share the same refresh schedule. 

Description:These commercial whale watching data are comprised of two datasets. First, the ‘whale_watching_trips_jun_sep_british_columbia’ data layer summarizes commercial whale watching trips that took place in 2019, 2020 and 2021 during the summer months (June to September). The second data layer, ‘wildlife_viewing_events_jun_sep_british_columbia’ contains estimated wildlife viewing events carried out by commercial whale watching vessels for the same years (2019, 2020 and 2021) and months (June to September). Commercial whale watching trips and wildlife viewing events are summarized using the same grid, and they can be related using the unique cell identifier field ‘cell_id’. The bulk of this work was carried out at University of Victoria and was funded by the Marine Environmental Observation, Prediction and Response (MEOPAR) Network under the ‘Whale watching AIS Vessel movement Evaluation’ or WAVE project (2018 – 2022). The aim of the WAVE project was to increase the understanding of whale watching activities in Canada’s Pacific region using vessel traffic data derived from AIS (Automatic Identification System). The work was finalized by DFO Science in the Pacific Region. These spatial data products of commercial whale watching operations can be used to inform Marine Spatial Planning, conservation planning activities, and threat assessments involving vessel activities in British Columbia.Methods:A list of commercial whale watching vessels based in British Columbia and Washington State and their corresponding MMSIs (Maritime Mobile Service Identity) was compiled from the whale watching companies and Marine Traffic (www.marinetraffic.com). This list was used to query cleaned CCG AIS data to extract AIS positions corresponding to commercial whale watching vessels. A commercial whale watching trip was defined as a set of consecutive AIS points belonging to the same vessel departing and ending in one of the previously identified whale watching home ports. A classification model (unsupervised Hidden Markov Model) using vessel speed as the main variable was developed to classify AIS vessel positions into wildlife-viewing and non wildlife viewing events. Commercial whale watching trips in the south and north-east of Vancouver Island were limited to a duration of minimum 1 hour and maximum 3.5 hours. For trips in the west coast of Vancouver island the maximum duration was set to 6 hours. Wildlife-viewing events duration was set to minimum of 10 minutes to a maximum of 1 hour duration. For more information on methodology, consult metadata pdf available with the Open Data record.References:Nesdoly, A. 2021. Modelling marine vessels engaged in wildlife-viewing behaviour using Automatic Identification Systems (AIS). Available from: https://dspace.library.uvic.ca/handle/1828/13300.Data Sources:Oceans Network Canada (ONC) provided encoded AIS data for years 2019, 2020 and 2021, within a bounding box including Vancouver Island and Puget Sound used to generate these products. This AIS data was in turn provided by the Canadian Coast Guard (CCG) via a licensing agreement between the CCG and ONC for the non-commercial use of CCG AIS Data. More information here: https://www.oceannetworks.ca/science/community-based-monitoring/marine-domain-awareness-program/ Molly Fraser provided marine mammal sightings data collected on board a whale watching vessels to develop wildlife-viewing events classification models. More information about this dataset here: https://www.sciencedirect.com/science/article/pii/S0308597X20306709?via%3DihubUncertainties:The main source of uncertainty is with the conversion of AIS point locations into track segments, specifically when the distance between positions is large (e.g., greater than 1000 meters).

Individuals (15 years and over) without an educational certificate, diploma or degree in Official Language Minority Communities. Refers to the individual's educational attainment or highest certificate, diploma or degree obtained by the person. The data used is based on the 2016 Census of Canada, 25% sample, the universe is the population 15 years and over.

The Indigenous Geographical Names dataset presents an extract from the Canadian Geographical Names Data Base (CGNDB) of geographical names with roots in Indigenous cultures. These geographical names reflect heritage, language, personal names, and cultural practices. Terrain and water features, populated places and culturally relevant places are geographical feature types present in the dataset. The Geographical Names Board of Canada (GNBC) is working to increase awareness of existing Indigenous place names and help promote the revitalization of Indigenous cultures and languages. Many more Indigenous place names exist in Canada, and this dataset will be constantly evolving as additional Indigenous place names are officially recognized and identified. The Geographical Names Board of Canada does not warrant or guarantee that the information is accurate, complete or current at all times. For more information, to report data errors, or to suggest improvements, please contact the GNBC Secretariat at Natural Resources Canada with questions or for more information. The CGNDB is the authoritative national database of Canada's geographical names. The purpose of the CGNDB is to store geographical names and their attributes that have been approved by the GNBC, the national coordinating body responsible for standards and policies on place names. This dataset is extracted from the CGNDB on a weekly basis, and consists of current officially approved names, feature type, coordinates of the feature, decision date, source, Indigenous language of origin where known, and other attributes.