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

Get data on forest fires, compiled annually for the National Forestry Database [The National Forestry Database](http://nfdp.ccfm.org/en/index.php) includes national forest data and forest management statistics to seve as a credible, accurate and reliable source of information on forest management and its impact on the forest resource. Forest fire data is grouped into eight categories, which are further broken down by geographic location. These include: * number of fires by cause class and response category * area burned by cause class and response category * number of fires by month and response category * area burned by month and response category * number of fires by fire size class and response category * area burned by fire size class and response category * area burned by productivity class, stocking class, maturity class and response category * other fire statistics, such as property losses

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 Atlantic lyre crab (Hyas araneus) includes the metadata, sample weight, specimen weight, shell width and condition, sex and the right claw height of the specimens measured. This dataset covers the period of 2002 to present. 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 for a given year and a fishing area 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.

This dataset provides details on the location of MTO aggregate pits. Aggregate pits provide the material necessary to build roadways in the province. Official LIO title: Aggregate Sites MTO *[MTO]: Ministry of Transportation

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. The following species have been sampled by this program from 1976 to present: 1. American lobster (Homarus americanus) 2. American plaice (Hippoglossoides platessoides) 3. Atlantic cod (Gadus morhua) 4. Atlantic halibut (Hippoglossus hippoglossus) 5. Atlantic herring (Clupea harengus) 6. Atlantic lyre crab (Hyas araneus) 7. Atlantic mackerel (Scomber scombrus) 8. Atlantic surfclam (Spisula solidissima) 9. Arctic Lyre Crab (Hyas coarctatus) 10. Capelin (Mallotus villosus) 11. Common softshell clam (Mya arenaria) 12. Giant scallop (Placopecten magellanicus) 13. Greenland halibut (Reinhardtius hippoglossoides) 14. Green urchin (Strongylocentrotus droebachiensis) 15. Iceland scallop (Chlamys islandica) 16. Redfish (Sebastes sp.) 17. Rock crab (Cancer irroratus) 18. Sea cucumber (Cucumaria frondosa) 19. Snow crab (Chionoecetes opilio) 20. Stimpson surfclam (Mactromeris polynyma) 21. Waved whelk (Buccinum undatum) 22. White hake (Urophycis tenuis) 23. Winter flounder (Pseudopleuronectes americanus) 24. Yellowtail flounder (Limanda ferruginea) For more information concerning these species, see the «Related Products» section below.

This data breaks down spring, fall and total harvest numbers by: * wildlife management unit (WMU) * calendar year Harvest numbers are based on mandatory reports received from successful turkey licence holders. These are absolute numbers and are not statistically projected as with the bear, deer, and moose hunting activity and harvest estimates. Missing values represent no open season.

Part of the Nova Scotia Topographic Database (NSTDB), the landforms theme layer is updated and maintained from aerial photography. Contours, spot elevations, Cut/fill locations along roadways, as well as cliffs and embankments are collected. Landform 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=36758 Map service view also available via GeoNova: https://nsgiwa.novascotia.ca/arcgis/rest/services/BASE/BASE_NSTDB_10k_Landforms_UT83/MapServer?f=jsapi

An upper-tier municipality is made up of 2 or more lower-tier municipalities. Municipal responsibilities set out under the Municipal Act and other Provincial legislation are split between the upper-tier and lower-tier municipalities. A lower-tier municipality forms part of an upper-tier municipality. Municipal responsibilities set out under the Municipal Act and other Provincial legislation are split between the upper-tier and lower-tier municipalities. A single-tier municipality doesn't form part of an upper-tier municipality and assumes all municipal responsibilities set out under the Municipal Act and other Provincial legislation. Territorial districts are geographic areas in northern Ontario. They are described in the Territorial Division Act, and are composed of municipalities, geographic townships and un-surveyed territory.

La Financière Agricole's collective crop insurance for cereals and fodder maize covers the loss of quantity and quality. The assessment of losses is carried out collectively for all agricultural businesses in the same geographical area.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Total outbound visitor spending by residents of Ontario in selected provinces. ## Related * [Outbound visits](/dataset/outbound-visits) * [Outbound visitor spending](/dataset/outbound-visitor-spending) * [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