This theme includes data from all metal monitoring stations in the waters of rivers in Quebec and the St. Lawrence River since 2008. It includes the stations of the “Special Metals” tour, the stations of Réseau-Fleuve and Réseau-Rivières as well as the stations of the “Grand Nord” project.**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

Annual Average Daily Traffic for individual road sections across the Province, for the calendar year 2017.

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.

Surfaces designed for travel purposes for motorists, cyclists, pedestrians or others. Delimitation of surfaces by type of use.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This data contains the memorials and monuments located in communities across the country. Currently, more than 8,000 memorials are included in this data. This data is regularly updated as we continue to receive information on Canadian military memorials.

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

Part of the Nova Scotia Topographic Database (NSTDB), the land cover theme layer is updated and maintained from aerial photography. Land cover is limited to treed areas over 3600m2 in size and over two metres in height. Orchards, nurseries, tree lines, and single landmark trees are also included. Land Cover feature codes and their descriptions are provided with the download in a NSTDB feature code table. Data download also available via GeoNova: https://nsgi.novascotia.ca/WSF_DDS/DDS.svc/DownloadFile?tkey=fhrTtdnDvfytwLz6&id=13 Map service view also available via GeoNova: https://nsgiwa.novascotia.ca/arcgis/rest/services/BASE/BASE_NSTDB_10k_Land_Cover_UT83/MapServer?f=jsapi

This product provides information on the geographic position of ambulance meeting point signs in the territory of Bas-Saint-Laurent as well as that of Gaspésie—Îles-de-la-Madeleine. The project of ambulance meeting points in the public forest was launched in the early 2000s. This project made it possible to establish a unique network bringing together ambulance meeting points available for all organizations using the forest environment, such as emergency action plan coordinators for forest workers, the Emergency Call Center for Eastern Quebec Regions (CAUREQ) and first responders from emergency services. The South-East Forest Management Directorate centralized the data from these points a few years after the start of the project. This centralization was done with the help of the Regional Operations Sector (SOR) and Rexforêt. It allowed the integration and standardization of data from the Bas-Saint-Laurent and Gaspésie-Îles-de-la-Madeleine regions. Traffic signs have been installed on the territory of both regions to indicate the meeting points for paramedics. This vector layer is official and updated annually. It is essential for the safety of forest workers that this data be easily accessible, up to date and uniform for the Lower Laurentian and Gaspesian territories. N.B: A file tracking changes to ambulance meeting points can be sent on request if necessary.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Department of Fisheries and Oceans (DFO) Science Branch has designed a multispecies dive survey protocol to provide unbiased, coast wide monitoring of benthic invertebrate stocks (as may be required under the updated Fisheries Act) and associated habitat information for a suite of benthic marine invertebrate species (Green (Strongylocentrotus droebachiensis), Purple (S. purpuratus) and Red Sea Urchin (Mesocentrotus franciscanus), Geoduck (Panopea generosa), Giant Red Sea Cucumber (Apostichopus californicus), Northern Abalone (Haliotis kamtschatkana), and Sunflower Sea Star (Pycnopodia helianthoides)). Based on information available at this time, the proposed survey design can provide estimates of coast wide stock status for Red Sea Urchin and Giant Red Sea Cucumber, and relative abundance indices for Geoduck, Green Sea Urchin, Purple Sea Urchin, Northern Abalone and Sunflower Sea Star. The new protocol was tested through a series of pilot surveys conducted on a subset of areas of the BC coast each September from 2016-2021. Design of the pilot surveys was based on previous dive survey data and experience and demonstrated the practical feasibility of the protocol, while also gathering preliminary information to guide recommendations about the statistical design of the survey. The dataset consists of a relational database containing tables representing each component of the survey methodology. The primary component of the survey is a transect location. Along each transect, systematically spaced quadrats are sampled, and on each quadrat, substrate observations are recorded, multiple species of algae are recorded, and multiple individual invertebrates are measured or counted. The tables are linked by transect number and quadrat number.