cl_maintenanceAndUpdateFrequency

RI_539

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    The Nova Scotia Hydrographic Network is an enhanced version of the Nova Scotia Topographic Database's Water Features theme. This dataset includes network spines for connectivity of water flow and various attribution for flow direction, priority of water flow and toponymic objects where applicable.

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    Forecast of inbound and outbound tourism in Ontario. Also includes performance indicators by country.

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    Number of visitors to Ontario grouped by selected overseas countries. ## Related * [Inbound visitor spending](/dataset/inbound-visitor-spending) * [Inbound visitor spending by country](/dataset/inbound-visitor-spending-by-country) * [Inbound visits](/dataset/inbound-visits) * [Inbound Visits by U.S. State](/dataset/inbound-visits-by-us-state) * [Inbound visitor spending by U.S. state](/dataset/inbound-visitor-spending-by-us-state) *[U.S.]: United States *[US]: United States

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    The Grain Elevators in Canada dataset maps the list of grain elevators in Canada as provided by the Canadian Grain Commission (CGC). The elevators have been located as much as possible to an actual location rather than generalizing to the station name centroid. Additionally car spot information from CN, CP and the grain companies has been added where this has been published. This dataset attempts to provide a temporal and geographical extent of the grain elevators in Canada.

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    Number of outbound visits by residents of Ontario to selected destinations. ## Related * [Outbound visitor spending](/dataset/outbound-visitor-spending) * [Outbound visitor spending by province](/dataset/outbound-visitor-spending-by-province) * [Outbound visitor spending by country](/dataset/outbound-visitor-spending-by-country) * [Outbound visits by province](/dataset/outbound-visits-by-province) * [Outbound visits by country](/dataset/outbound-visits-by-country) * [Outbound visits by U.S. state](/dataset/outbound-visits-by-us-state) * [Outbound visitor spending by U.S. state](/dataset/outbound-visitor-spending-by-us-state) *[U.S.]: United States

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    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).**

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    Since 1979, Fisheries and Oceans Canada has conducted near-annual mackerel egg surveys in the southern Gulf of St. Lawrence using a standardized methodology. This survey typically takes place over approximately 10 days in June and aims to quantify mackerel eggs, thereby contributing to the stock assessment of the northern contingent. Sampling is conducted at 66 fixed stations arranged in a predefined grid (see included image for station locations and names). Additional stations—following the same sampling methodology—have also been surveyed off of southwestern Newfoundland, eastern Cape Breton and south of Prince Edward Island, as well as in other regions. The mackerel survey is often coordinated with the Atlantic Zone Monitoring Program (AZMP) for the Quebec region, which takes place around the same time using the same research vessel and similar equipment. While these two surveys are distinct, they are coordinated to complement each other. At each station, a tow using 61 cm bongo nets (333 µm mesh size) is towed following a saw-tooth profile through the upper 50 m of the water column. Tows last approximately 10 minutes at a speed of roughly 2.5 knots. These tows target mackerel eggs and larvae but collect other species and plankton stages. The taxonomic identification and classification of the developmental stages of the samples are then carried out in the laboratory. The number of taxon counted varies between survey years, based on new species encountered and identified. Egg development stages (I–V) are recorded only for mackerel. This dataset includes the records of all ichthyoplankton species sampled during the survey. It includes information for each sampling station, including gear specifications, species identifications, and life history stages. Each unique combination of COLLECTOR_STATION_NAME, COLLECTOR_EVENT_ID, START_DATE, START_LAT and START_LON represents a single sampling event, and all rows sharing this combination correspond to individual samples collected during that event. The dataset covers the period from 1983 to 2024 and is updated annually as new data become available. It is important to note that prior to 2023, nearly all species were systematically counted, with only a few exceptions where presence alone was recorded. However, since 2023, data collection has shifted to presence/absence for all species, except capelin larvae, herring larvae, and mackerel eggs and larvae, which continue to be counted. Note – raw data use with caution – please contact the author if you have any questions. The data processing methods used for the stock assessment are described in detail in the following publication: Lehoux, C., Van Beveren, E., and Plourde, S. 2024. Results of the Mackerel (Scomber scombrus L.) Egg Surveys Conducted in the Southern Gulf of St Lawrence from 1979 to 2022. DFO Can. Sci. Advis. Sec. Res. Doc. 2024/037. v + 47 p. https://www.dfo-mpo.gc.ca/csas-sccs/Publications/ResDocs-DocRech/2024/2024_037-eng.html

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    Fish consumption advisories for Ontario's lakes and rivers are available in the Guide to Eating Ontario Fish. The zip file below includes a GIS shapefile of all lake/river locations and a text file of all consumption advisory data from the current edition of the Guide. [Fish consumption advice map](https://ontario.ca/environment-and-energy/eating-ontario-fish) *[GIS]: geographic information systems Keywords: Sport Fish Guide, mercury, PCB, dioxin, furan, metals, PFAS, contaminants

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    Since 1992, scientific surveys have been conducted annually alternately, in the estuary and the North of the Gulf of Saint Lawrence. These surveys allow DFO to monitor the population and ecosystem of the snow crab and thus understand the state of the stock and the renewal of the species. Beam trawl hauls following a systematic sampling take place every 2 years in the estuary and in the Lower North Shore. In the estuary (zone 17), a sampling of 94 stations is carried out. In the Lower North Shore (zone 13 and 14), 60 regular stations are usually sampled and 35 exploratory stations are distributed between Baie Johan Bettz and Kegaska (zone 15 and 16) but also on the south shore of zone 13 near Newfoundland. At each station, a fishing haul of 5 to 10 minutes is carried out. The harvested crabs are measured (cephalothorax width), sexed and counted. The state of the shell, sexual maturity and egg development stages are also assessed. The number of crabs caught, classified according to different size categories, allows estimating densities and thus monitoring the state and renewal of the snow crab population in the different fishing areas. This dataset on the snow crab (Chionoecetes opilio) contains abundance and density data of crabs under different size classes as well as geographical and bathymetric variables by station. The dataset covers the period from 1992 to the present and is updated each year. A cleaning of aberrant data has been carried out. For certain time periods, associated species are identified and semi-quantitatively counted directly on the sorting table, and the results are presented in the following publications: - https://open.canada.ca/data/en/dataset/8fbd81a4-ce4a-40e3-81f6-e2a5c44955de - https://open.canada.ca/data/en/dataset/268bf29e-b9d6-4267-bc86-230f4edfb80b - https://open.canada.ca/data/en/dataset/97dac757-2ef6-4144-b7d9-a0d8d51f8319

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    Owners/operators/hosts of short-term rental accommodations (rented for 28 days or less) must register, beginning April 1, 2020, under the Short-term Rental Registration Act. The registry allows government to capture data around the supply and location of rental accommodations. This dataset shows the number of registered short term accommodations, of varying types, in each Canada Mortgage and Housing Corporation (CMHC) Census Division (CD).