RI_540
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Geographic database containing the result of Statistics Canada's __2016 Census geography harmonization process.__ Harmonization is a process of editing geographic boundaries in order to adjust them spatially to the official geographic base. This work was carried out in 2016 by the Institut de la Statistique du Québec (ISQ) according to the official provincial geographic base. A detailed project report presents in two parts the coherence between the geography of the 2016 census and the geographical code of Quebec, then presents the process of harmonizing this geography. __The content of the resulting database is detailed there (page 22) __, as well as the description of the attributes (pages 27 to 29).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
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This dataset makes it easy to locate a public library, access its contact details and be redirected to its website or online catalog.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
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List and geolocation of the regional directorates of the Ministry of Culture and Communications (https://www.mcc.gouv.qc.ca/index.php?id=12).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
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Mapping of the zoning in force, according to the types of environments, established in the Urban Planning Code (CDU) on the territory of Laval.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
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Waterbody types include: * Lake * River * Canal * Reservoir * Kettle lake * Pond * Beaver Pond * Ocean This product requires the use of GIS software. *[GIS]: geographic information system
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Each summer, environmental community groups collect important data to determine if groupings of fish, shrimp and crab – what is called a community- can be used as an indicator of the health status of bays and estuaries. Sampling was conducted from May through September for the first years then from June through August. In 2018 and 2019, the sampling was conducted just once in each estuary. Community group members and staff sample six stations once a month in their designated estuary. Fish, shrimps and crabs are collected with a beach seine net and later released live back to the water once identified and counted. From this, the community groups provide important information to Fisheries and Oceans Canada, including: - identification and numbers of fish, shrimp and crab species; - water conditions and samples; - information on aquatic plants; - sediment samples. With this information, Fisheries and Oceans Canada scientists working with government agencies and universities can conduct analyses to determine the suitability of indicators to assess the health of bays and estuaries. PARAMETERS COLLECTED: Parameters: abundance, species richness, species developmental stage (young-of-the-year or adult), water temperature, water salinity, water dissolved oxygen, dissolved inorganic nutrient (nitrate, nitrite, phosphate), sediment % organic content, sediment % humidity content and sediment mean grain size, % submerged aquatic vegetation cover NOTES ON QUALITY CONTROL: Data entry into Excel and first quality control verification is done by CAMP summer students. A second quality control verification is done by DFO staff. See publ # 2823 attached to this record. In 2018, the historical data was migrated into a relationship database. From this year on, annual data will be entered into the database using a custom application. The application front end has numerous QC elements built-in. SAMPLING METHODS: Please see the following URL for sampling details: http://www.dfo-mpo.gc.ca/Library/319437.pdf
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STS bus fleet timetables and routes**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
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Anthropogenic and natural constraints 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).**
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30 Year Spatial Climate Averages are used to describe the average climatic conditions for an area and include variables for maximum temperature, minimum temperature, precipitation, and climate moisture index. At the end of each decade, scientists at Natural Resources Canada have been creating the newest models for as many climate variables as possible. Using a program called ANUSPLIN and climate data points, models for Canada and the United States are created. The NRCan Climate Averages are a large suite of datasets that can be used to compare weather of the past and present to help predict the future climate. The 30 year averages are computed for a uniform 30 year period and consists of the 12 monthly averages computed over the 30 year time period. The 30-year periods included in this series are: 1901-1930; 1921-1950; 1931-1960; 1951-1980; 1961-1990; 1971-2000; 1981-2010; 1991-2020. These are standard 30-year WMO (World Meteorological Organization) periods. Although this data has been processed successfully on a computer system at the Canadian Forest Service, no warranty expressed or implied is made regarding the accuracy or utility of the data on any other system or for general scientific purposes, nor shall the act of distribution constitute any such warranty. The disclaimer applies both to individual use of the data and aggregate use with other data. It is strongly recommended that careful attention be paid to the contents of the metadata file associated with these data. The Canadian Forest Service shall not be held liable for improper or incorrect use of the data described and/or contained herein.
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A feature is a representation of a real world object, such as a lake, stream, dam or rapid. There are three hydrographic feature classes: points, lines and polys. All may impede or be hazardous to waterflow and/or navigation on a watercourse or waterbody. This data shows natural and manmade poly features. Examples include: * break walls * dams * rapids * shipwrecks [Technical Bulletin: Data migrated to new Ontario Hydro Network (OHN) - Hydrographic Feature Data Classes (PDF)](http://geo2.scholarsportal.info/proxy.html?http:__maps.scholarsportal.info/files/PDFS/public/OGDE/OHN/TB-OHN-PostMigration_101112.pdf) *[GIS]: geographic information system