La Financière Agricole's collective corn and grain crop insurance offers protection against losses in yield and quality assessed for the entire area where the insured units are located.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This theme presents the location of samples of contaminants of emerging interest (CIE) carried out by the Main Directorate for the Quality of Aquatic Environments (DPQMA) as part of its work since 2000. Each station is accompanied by a link in the attribute table allowing the reader to access an Excel file presenting the concentrations of CIE detected, the list of CIE analyzed at least once at the station, the list of reports produced from the samples taken at the station, as well as information on surface water quality criteria for the protection of aquatic life. The dataset on contaminants of emerging interest also includes a layer of polygons presenting the drainage areas of some of the stations and a data table including the compilation of land use by category for the last year available at the time the data was generated. The drainage areas and the land use table are linked to the sampling stations based on the BQMA station number.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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

Polyline layer of ATV trails (off-road vehicles) on the territory of the city of Shawinigan. ! [Shawinigan logo] (https://jmap.shawinigan.ca/doc/photos/LogoShawinigan.jpg) **Collection method** Digitization from orthophotography **Attributes** * `objectid` (`integer`): * `season` (`char`): Season * `club_name` (`char`): Name * `class` (`char`): Class * `no_sentier` (`char`): Number * `st_length (shape) `(`double`): Length For more information, consult the metadata on the Isogeo catalog (OpenCatalog link).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This metadataset was compiled to document scientific dive operations conducted within the Banc-des-Américains Marine Protected Area (MPA). Its purpose is to enable the tracking of field activities carried out as part of ecological monitoring of the atlantic wolffish (Anarhicas lupus) habitats and other key species. Metadata were collected for each scientific dive, following a standardized protocol implemented since 2014 that includes the date, participating team, GPS coordinates, depth, and dive duration. The released dataset contains only descriptive and contextual information related to each dive operation: dive identifier, site, date, location, conditions of execution, method used, and environmental variables when recorded. It does not include photographs, videos, raw biological observations, or analysis results. Quality control involves standardization of the metadata form, verification of GPS positions and recorded depths, as well as annual internal review of the dive series by the scientific coordination team. Established procedures ensure the completeness, consistency, and traceability of the descriptive data provided.

The air monitoring stations measure up to 6 common pollutants like: * ground-level ozone * fine particulate matter * nitrogen dioxide * carbon monoxide * sulphur dioxide * total reduced sulphur compounds The Ministry of the Environment, Conservation and Parks continually monitors air quality across Ontario. We use this information to: * inform the public about outdoor ambient air quality through the Air Quality Index (AQI) and Smog Advisory program * assess Ontario's air quality and evaluate long-term trends * identify areas where pollutant levels are exceeded * identify the origins of pollutants * develop air policy * provide quantitative measurements to reduce specific pollution sources * determine the significance of pollutants from long-range transports and their effects * provide air quality researchers with data to link environmental and human health effects to air quality

A list of public schools offering the Discovering Opportunities program. Includes school board, school, school address and implementation year.

Summary The Quebec region of the Department of Fisheries and Oceans (DFO) is responsible for the assessment of several fish and invertebrate stocks exploited in the Estuary and the northern Gulf of St. Lawrence. The commercial catches sampling program is one of the sources of information used to complete these assessments. The data collected by this program, at wharf or at sea, offers among other things the advantage of a relatively large spatio-temporal coverage and provides some of the necessary knowledge to assess the demography and the structure of the exploited populations. This program is implemented by specialized DFO staff whose main mandate is to collect biological data on groundfish, pelagic fish and marine invertebrate species that are commercially exploited in the various marine communities. Data This dataset on the white hake (Urophycis tenuis) includes the metadata, sample weight, fish length, the sex and the number of specimens measured. This dataset covers the periods of 1989-1990 and 1992-1993. In order to protect the confidentiality of the sources, some informations (such as those concerning the vessel) have been excluded and others (such as the date of capture) have been simplified. Entries where there was only one vessel in a fishing area for a given year were also excluded. Further information including the fishing areas coordinates can be found by clicking on the «Atlantic and Arctic commercial fisheries» and «Fishing areas» links below.

Fish stocking data for recreational fishing purposes. Contains: * stocking data for the past 10 years for species where the purpose of the stocking event was to promote recreational fishing. This is a subset of data from the fish stocking information system. This data can also be obtained through the [Fish ON-Line application](http://www.ontario.ca/fishonline). For information on where stocking occurs for research or rehabilitation purposes, contact a local Ministry of Natural Resources and Forestry district office. Related datasets: * [Ontario waterbody location identifer](https://data.ontario.ca/dataset/ontario-waterbody-location-identifier)

The City of Montreal identified 350 green streets in 2019. A green alley is an alley that has been redeveloped by residents, with the assistance of a borough or eco-neighborhood. The redevelopment of an alley can bring about changes in car traffic: complete, partial or seasonal closure. Arrangements can vary between excavating flower beds, installing various types of furniture and marking on the ground. The type of covering can vary between asphalt/concrete, gravel, gravel, vegetated, vegetated, plain pavement, honeycombed pavement, grass or a mixture of several of these elements. With the support of the Department of Coordination of Boroughs and Citizen Experience of the City of Montreal, wanted to gather this information in order to inform citizens, but also the services of its boroughs in order to promote, but also protect these developments.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**