cl_maintenanceAndUpdateFrequency

RI_539

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    A list of publicly available programs and services working to help and support women and their families who have experienced, or are experiencing, domestic violence. These programs and services are important to all Nova Scotians, but especially to women and children who experience violence. Friends, family members, service providers, or other support people may also find these resources useful.

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    The surface water quality (WQ) program, as part of the Joint Canada/Alberta Implementation Plan, is designed to improve the ability to detect change and predict effects in relation to point and non‐point sources. A mass‐balance approach has been used for assessing the quantity, movement, and cycling of materials in the watershed. Applying this approach required a sampling program which included quantification of the sources, transport, flux, and fate of materials and contaminants. The Surface WQ monitoring sampling includes, in part, collection of; - event (freshet and rain) based WQ samples in tributaries ranging from daily to bi-weekly, - WQ samples in the Athabasca River using cross-channel transect methods at specified Phase 1 sites, - enhanced (additional parameters) WQ sampling at M9, M12, and M11A and at 5 new interconnecting channel stations within the Expanded Geographical Area (EGA), - ground water samples in specific high priority tributaries, and - auto-monitoring (near real-time) on a subset of parameters at sites in the EGA

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    Mapping of the electoral districts of Quebec City.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

  • Historical finds of Fenusa pumila

  • Historical finds of Gilpinia hercyniae

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    The geographic locations of all hospitals in Nova Scotia by their civic address.

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    Total visitor spending in Ontario grouped by the main origins (Ontario, other Canada, US, and overseas). ## Related * [Inbound visits by country](/dataset/inbound-visits-by-country) * [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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    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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    The Agriculture and Agri-Food Canada (AAFC) Annual Crop Inventory (ACI) is produced at a national scale, covering Canada’s entire agricultural extent. It has been generated operationally since 2011 for the entire country (2009 for the Prairie Provinces). This product is spatially continuous and maps the most probable crop type for every field in Canada, along with the land cover of non-agricultural lands (e.g. wetlands, forest, urban, etc.). It allows AAFC to study and model crop rotation patterns at the field level. To develop the Quantitative Crop Rotation Characteristics of Canada, historical ACI data representing the time series of crops at agricultural field level with annual intervals were applied. They provided the time series of categories of crops for statistical analyses. The results of this work included spatial data sets with several calculated attributes representing crop rotation statistical characteristics. Specifically, a crop sequence turbulence index was shown to be an efficient quantitative measure of mapping the spatial distribution of the sustainability of crop rotation in regions where dominantly annual crops were the active crop rotation. In addition, based on characteristics of observed crops in their time series sequence and the quantitative sequence dynamics represented by the turbulence index, major spatial clusters of crop rotation styles were calculated. To analyze the turbulence index, crop rotation cluster class representing the general style of crop rotation must also be considered. The crop rotation quantitative attributes calculated in this project which are at the field level, can be converted into useful information directing us towards the health and sustainability of crop rotations.

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    This dataset contains average concentrations of water chemistry collected from stream catchments C31, C32, C33, C34, C35, C37, C38, C39, C42, C46, C47, C49, and C50 in the Turkey Lakes Watershed, approximately 60 km northwest of Sault Ste. Marie, Ontario, Canada. These are average concentrations recorded from 1981-2018 in milligrams per litre (mg/L) of major ions (Ca, Mg, K, Na, SO4, Cl, NO3-N, NH4-N) and some nutrients (TP, TN) collected by the Great Lakes Forestry Centre. Samples are collected according to variable schedules such that frequency generally increased with increasing stream flow, (sampling period was shortest during spring runoff, 1-3 days, and longest during winter, 2-3 weeks). Sampling was accomplished by rinsing an appropriately cleaned 2-litre, polyethylene bottle at least 3 times with stream water followed by immersion to collect the final sample. Care was taken to not disturb the stream sediments throughout the sampling procedure. pH and conductivity testing is completed right after sampling. Other chemical analyses are completed by the Great Lakes Forestry Centre in Sault Ste. Marie within 2 weeks of collection. Sample integrity was maintained through storage in the dark at 4 degrees Celsius and analyzed at room temperature.