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We have found 3,641 datasets for the keyword " services de soutien". You can continue exploring the search results in the list below.
Datasets: 106,156
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3,641 Datasets, Page 1 of 365
Service BC Office Locations
The Service BC Office Locations is comprised of all Service BC locations in the province. These offices provide front line support for many of the hundreds of programs and services the provincial government offers to residents, businesses and visitors.
RSMA - Annual review of the quality of water bodies
History of annual reviews of the quality of water bodies in Montreal. The aquatic environment monitoring network (RSMA) takes surface water samples in order to draw up a state of the situation in the Montreal agglomeration.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Hydrometric Monitoring Stations
A station is a site on a river or lake where water quantity (water level and flow) are collected and recorded.
Ratio of surface freshwater intake to water yield, by drainage region, 2013
This product provides the ratio of surface freshwater intake to water yield for August 2013, with the exception of drainage regions 7, 8, 16, 17 and 18, which use the ratio of August intake to the long-term minimum monthly water yield. Surface freshwater intake aggregates data from the Survey of Drinking Water Plants, 2013 and the Industrial Water Use Survey, 2013 with estimates of agricultural water use for 2013 based on the Agricultural Water Use Survey and the Alberta Irrigation Information report. Data for water use by the oil and gas industry and households not supplied by a public water provider are also excluded.
National Eelgrass Dataset For Canada (NETForce)
This collection of eelgrass data has been collated to produce a national map of the location and distribution of eelgrass beds across Canada. The data providers collaborating in this initiative include Federal, Provincial and Municipal government departments and agencies, academia, non-governmental organizations, community groups, private sector, Indigenous groups and independent science organizations. The National Eelgrass Task Force (NETForce) is a collaborative, diverse and inclusive partnership of scientists, managers, and stakeholders working towards a concrete vision which is to create a national map of eelgrass distribution in Canada that is publicly accessible, dynamic, and useful for monitoring and collective decision-making. The eelgrass data were collected using various mapping techniques including species distribution models, benthic sonar, field measurements of habitat presence or absence, video transects, aerial photography, field validation, literature review, satellite imageries, LiDAR, Airborne spectrographic imaging, and Unoccupied Aerial Vehicle (UAV). The metadata provided by the partners relevant for their own projects and the field names were made similar for the compiled dataset. We also created additional fields that differentiated the datasets, and these include data provider, institution code, water body, mapping techniques, province, biogeographic region, eelgrass observation... Other fields are included depending on the original metadata provided by the data provider (i.e. eelgrass percentage cover, eelgrass density, map reference, image classification technique). The data span from 1987 to present, with some eelgrass beds being surveyed only once while others were sampled across several years. Uncertainty information associated with a dataset is included in the metadata when available. This map is intended to be evergreen and more eelgrass data will be added when available. This compiled dataset has been collected by many organizations for different purposes, using different survey techniques and different methodologies and, therefore, considerable care must be taken when using these data. For further information concerning specific datasets contact the data provider/institution and/or see the associated technical report (if available) included in the Report folder under the ‘Data and Resources’ section.This group of eelgrass data has been divided using the geographic boundaries of the Federal Marine Bioregions (https://open.canada.ca/data/en/dataset/23eb8b56-dac8-4efc-be7c-b8fa11ba62e9). The title of each geodatabase (FGDB/GDB) contains the name of the bioregion.The Data Dictionary guide provides the fields description (English and French) from each layer included in the geodatabases.For additional information please see:Gomez C., Guijarro-Sabaniel J., Wong M. 2021. National Eelgrass Task (NET) Force: engagement in support of a dynamic map of eelgrass distribution in Canada to support monitoring, research and decision making. Can. Tech. Rep. Aquat. Sci. 3437: vi + 48 p. https://waves-vagues.dfo-mpo.gc.ca/library-bibliotheque/4098218x.pdfGuijarro-Sabaniel, J., Thomson, J. A., Vercaemer, B. and Wong, M. C. 2024. National Eelgrass Task Force (NETForce): Building a dynamic, open eelgrass map for Canada. Can. Tech. Rep. Fish. Aquat. Sci. 3583: v + 31 p. https://waves-vagues.dfo-mpo.gc.ca/library-bibliotheque/41223147.pdf
Petroleum and Environmental Management Tool (PEMT) – High Arctic
The High Arctic dataset comes from the Petroleum and Environmental Management Tool (PEMT). The online tool was decommissioned in 2019 and the data was transferred to Open Data in order to preserve it.The PEMT was originally developed in 2009 to help guide development in the Canadian Arctic by Indian and Northern Affairs Canada (INAC). The online tool mapped the sensitivities of a variety of Arctic features, ranging from whales to traditional harvesting, across the Arctic. The tool was intended to aid government, oil and gas companies, Aboriginal groups, resource managers and public stakeholders in better understanding the geographic distribution of areas which are sensitive for environmental and socio-economic reasons. The study area is located in the High Arctic Archipelago and contains both marine and terrestrial components. The boundaries of the study area are based on the NOGB leasing grids applied in the High Arctic, under which exploration, significant discovery and production licenses may be issued. The Sverdrup Basin (and Lancaster Sound) has the highest known oil and gas potential of the sedimentary basins of the Arctic Islands (Nunavut Planning Commission 2000) and it is expected that there is oil and gas potential on Melville Island and Bathurst Island (Sivummut Economic Development Strategy Group 2003). To date, no gas has been produced, and 321,470 m³ of oil has been produced from the Bent Horn oil field (Morrell et al. 1995). DISCLAIMER: Please refer to the PEMT Disclaimer document or the Resource Constraints - Use Limitation in the Additional Information section below.Note: This is one of the 3 (three) datasets included in the PEMT application which includes the Beaufort Sea and Mackenzie Delta and Eastern Arctic datasets.
Biological Sensitivity Mapping for Oil Spill Planning and Response, Quebec Region
The Planning for an Environmental Response (PIER) initiative falls under the umbrella of the Government of Canada's Oceans Protection Plan (OPP), whose goal is preserving marine ecosystems vulnerable to increased transportation and the development of the marine industry (https://pm.gc.ca/en/news/backgrounders/2016/11/07/canadas-oceans-protection-plan-preserving-and-restoring-canadas). The PIER was established in response to recommendations made in a 2013 report "A review of Canada's ship-source spill preparedness and response regime " by the Tanker Safety Expert Panel (https://tc.canada.ca/en/marine-transportation/marine-safety/tanker-safety-expert-panel). One of the recommendations calls on Fisheries and Oceans (DFO) to work with Environment and Climate Change Canada (ECCC) to collect and compile information on sensitive species and environments for each Canadian Coast Guard (CCG) response area and make it publicly available.The PIERs’ main mandate is to acquire and update biological sensitivity data under its jurisdiction for preparation and response purposes in the event of an oil spill. With DFO-Science, PIER supports ECCC's National Environmental Emergencies Centre (NEEC) and the CCG in their preparations and responses through the sharing of data on biological sensitivities, the development of response tools and expert advice.In this vein, DFO published an analysis in 2018 that aimed to identify the most vulnerable components of the St. Lawrence in order to prioritize them during data collection if gaps were identified (Desjardins et al. 2018). This exercise highlighted the vulnerability of several biological components and important data gaps, particularly in coastal areas. As a result of this finding, the Quebec region PIEI team embarked on a collaborative project with the Université du Québec à Rimouski (UQAR) to map eelgrass beds, tidal marshes and macroalgal beds. In consultation with other DFO-Science data producers, this team has also created datasets adapted for response purposes, notably regarding bivalves and marine mammals. These layers may be used for oil spill preparedness and response by DFO-Quebec Region's Environmental Incident Coordinator, NEEC and CCG. Several of them, deemed relevant in the first 72 hours following a spill, have been transmitted to the NEEC.
Database of the Distributions of Marine Fishes of Arctic Canada
This dataset contains point distribution occurrences for fish species found in marine waters of Arctic Canada. It was used to create the distribution maps in the book Marine Fishes of Arctic Canada, edited by B.W. Coad and J.D. Reist (2018) and the DFO Data Report of Fisheries and Aquatic Sciences Distributional Records for Marine Fishes of Arctic Canada (Alfonso et al. 2018). The database includes literature (Coad and Reist 2016) and museum records, anecdotal reports, personal communications and data from fisheries surveys and exploratory cruises. Development of the database began in 1998 and data entry ceased in 2016, although the database will be updated periodically. Consult the book (Coad and Reist 2018) and the Data Report (Alfonso et al. 2018) for further details in regards to the specific sources for each data point by species especially those from sources other than published literature.
Population in long-term care facilities, 2016 Census
Statistics Canada, in collaboration with the Public Health Agency of Canada and Natural Resources Canada, is presenting selected Census data to help inform Canadians on the public health risk of the COVID-19 pandemic and to be used for modelling analysis. The data provided here show the counts of the population in nursing homes and/or residences for senior citizens by broad age groups (0 to 79 years and 80 years and over) and sex, from the 2016 Census.Nursing homes and/or residences for senior citizens are facilities for elderly residents that provide accommodations with health care services or personal support or assisted living care.Health care services include professional health monitoring and skilled nursing care and supervision 24 hours a day, 7 days a week, for people who are not independent in most activities of daily living.Support or assisted living care services include meals, housekeeping, laundry, medication supervision, assistance in bathing or dressing, etc., for people who are independent in most activities of daily living.Included are nursing homes, residences for senior citizens, and facilities that are a mix of both a nursing home and a residence for senior citizens.Excluded are facilities licensed as hospitals, and facilities that do not provide any services (which are considered private dwellings).
Electronic Navigational Chart (ENC) Maritime Chart Service DFO
This service provides a compilation of Electronic Navigational Charts (ENC) produced by the Canadian Hydrographic Service. All information provided by this service conforms to the International Hydrographic Organization (IHO) Publication S-57. An ENC contains all the chart information useful for navigation, and may contain supplementary information in addition to that contained in the paper chart. This service is not for navigation.
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