Get data on provincially tracked species locations generalized to a 1km by 1km grid. This spatial dataset contains generalized location data for: * species of conservation concern (including species at risk) * plant communities * wildlife concentration areas. The data includes a spatial layer and related table. We recommend using the geodatabase, as the relationship between the spatial layer and its table is built in. If you prefer another format, the ‘complete shapefile’ download is the only option that includes the spatial layer and its related table in one package. This data can be used to identify species or ecological communities on or near your property or project site.

Catch, effort, location (latitude, longitude), relative abundance indices, and associated biological data from groundfish multi-species bottom trawl surveys in Strait of Georgia. Introduction The Strait of Georgia (SOG) synoptic bottom trawl survey was conducted in 2012 and 2015. This survey is one of a set of long-term and coordinated surveys that together cover the continental shelf and upper slope of most of the British Columbia coast. The other surveys are the Queen Charlotte Sound (QCS) survey, the Hecate Strait (HS) survey, the West Coast Vancouver Island (WCVI) survey and the West Coast Haida Gwaii (WCHG) survey. The survey was not impacted by the COVID-19 pandemic. The objectives of these surveys are to provide fishery independent abundance indices of all demersal fish species available to bottom trawling and to collect biological samples of selected species. The surveys follow a random depth-stratified design and the sampling units are 2 km by 2 km blocks. The synoptic bottom trawl surveys are conducted by Fisheries and Oceans Canada (DFO) in collaboration with the Canadian Groundfish Research and Conservation Society (CGRCS), a non-profit society composed of participants in the British Columbia commercial groundfish trawl fishery. The Queen Charlotte Sound and West Coast Haida Gwaii surveys are conducted under collaborative agreements, with the CGRCS providing chartered commercial fishing vessels and field technicians, while DFO provides in-kind contributions for running the surveys including personnel and equipment. The Hecate Strait, West Coast Vancouver Island, and Strait of Georgia surveys are conducted by DFO and have typically taken place on a Canadian Coast Guard research vessel. Until 2016 this vessel was the CCGS W.E. Ricker. From 2021 onwards, this vessel was the CCGS Sir John Franklin. In years when a coast guard vessel has not been available, the Hecate Strait, West Coast Vancouver Island, and Strait of Georgia surveys have taken place on chartered industry vessels. Data from these surveys are also presented in the groundfish data synopsis report (Anderson et al. 2019). Effort This table contains information about the survey trips and fishing events (trawl tows/sets) that are part of this survey series. Trip-level information includes the year the survey took place, a unique trip identifier, the vessel that conducted the survey, and the trip start and end dates (the dates the vessel was away from the dock conducting the survey). Set-level information includes the date, time, location, and depth that fishing took place, as well as information that can be used to calculate fishing effort (duration) and swept area. All successful fishing events are included, regardless of what was caught. Catch This table contains the catch information from successful fishing events. Catches are identified to species or to the lowest taxonomic level possible. Most catches are weighed, but some are too small (“trace” amounts) or too large (e.g. very large Big Skate). The unique trip identifier and set number are included so that catches can be related to the fishing event information (including capture location). Biology This table contains the available biological data for catches which were sampled. Data may include any or all of length, sex, weight, age. Different length types are measured depending on the species. Age structures are collected when possible for species where validated aging methods exist and are archived until required for an assessment; therefore, all existing structures have not been aged at this time. The unique trip identifier and set number are included so that samples can be related to the fishing event and catch information. Biomass This table contains relative biomass indices of species that have been captured in every survey of the time series. The coefficient of variation and bootstrapped 95% confidence intervals are provided for each index. The groundfish data synopsis report (Anderson et al. 2019) provides an explanation of how the relative biomass indices are derived.

Part of the Nova Scotia Topographic Database (NSTDB), the buildings theme layer is updated and maintained from aerial photography. Buildings over 30m (one side) are collected as polygons, all others as points. Selected buildings are inspected in the field or interpreted from aerial photography and classified according to use such as hospitals, schools, police stations or community centres. Building 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=20 Map service view also available via GeoNova: https://nsgiwa.novascotia.ca/arcgis/rest/services/BASE/BASE_NSTDB_10k_Buildings_UT83/MapServer?f=jsapi

__The link: *Access the data directory* is available in the section*Dataset Description Sheets; Additional Information*__. The **up-to-date ecoforest map (formerly “with disturbances”) ** is the result of the interpretation of aerial photographs and control points in the field as part of the ecoforest inventory of southern Quebec. This mapping presents the various forest and ecological characteristics of the forest territory and corresponds to the portrait of the forest up to the year the aerial photograph was taken (mapping cycle of about 10 years). Next, the outlines and nature of recent disturbances (forest interventions, fires and other disturbances) are then integrated annually. The fifth mapping cycle has been under way since 2015. This map covers almost all of the territory south of the 52nd parallel of Quebec's public and private forest. It is distributed by map sheet at a scale of 1/250,000. The minimum mapping area is 4 ha for stands and 0.1 ha for disturbances. __ ⚠️ 1) Note that__ the disturbance maps used to update the updated ecoforest map are also distributed separately on Data Quebec. Here is the list of these maps: + ** [Forest fires] (https://www.donneesquebec.ca/recherche/dataset/feux-de-foret) ** + ** [Harvesting and other silvicultural interventions] (https://www.donneesquebec.ca/recherche/dataset/recolte-et-reboisement) ** + ** [Epidemics, windfalls and ice storms] (https://www.donneesquebec.ca/recherche/dataset/epidemies-chablis-et-verglas) ** + ** [Forest Infrastructure] (https://www.donneesquebec.ca/recherche/dataset/infrastructures-en-milieu-forestier) ** __ ⚠️ 2) Note that__ disturbances are prioritized according to the nature of the layer and respect for the chronology of events. Only the last original or partial disturbance is kept in the updated ecoforest map. You should refer to the annual update layers, listed in __Note 1__, to access the full history of disturbances.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This annually updated dataset provides all of the previously published road conditions, traffic incidents, and current and planned road construction activities as published on [DriveBC web site](http://drivebc.ca/) beginning with 2006. Current information on DriveBC road events is available via the [Open511-DriveBC API](https://catalogue.data.gov.bc.ca/dataset/open511-drivebc-api).

This theme, which lists more than 1,400 fishing sites in Quebec and nearly forty fish species, provides information on the consumption of sport fishing fish according to species and their size. The number of meals is determined on a monthly basis by calculating that one meal is equivalent to a portion of 230 grams before cooking (8 ounces) of freshwater fish caught in Quebec. The main factors in determining the degree of contamination of the flesh of fish caught in a given location are the species and the size: small, medium and large. The recommendations in the data layer take into account both of these factors. The rules presented in it are intended to warn against the risks associated with the consumption of fish in the long term. They are particularly relevant for people who are in the habit of consuming fish frequently. They are valid at all times, unless otherwise advised by public health officials in your area.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

__The link: *Access the data directory* is available in the section*Dataset Description Sheets; Additional Information*__. **The results of compilations by forel** are one of the deliverables of the ecoforest inventory in southern Quebec. These results are used to produce forest compilations by stand associated with the original ecoforest map. The forel corresponds to a forest pixel with a resolution of 20 meters by 20 meters. These results are presented in the form of matrix mapping (image in raster format) to assess the variability of the various dendrometric characteristics within the same forest stand. Here is the list of variables presented in this map: gross market volume per hectare, basal area per hectare and number of stems per hectare. These results are intended to provide small-scale information that can, among other things, support the planning of forest operations. They cover ecoforest stands 7 m or more in height. For commercial stems, a separate matrix file is produced for each of the three variables and each of the species, attribution groups, species types and for the total all species. For saplings (stems of 9 cm or less in diameter), only results for basal area and the number of stems per hectare for species types and for the total of all species are produced. The information contained in this map is an image of the forest in the year the aerial photograph was taken. The results of this forest compilation method will eventually cover most of the territory south of the 52nd parallel. When achieved, the results are disseminated by planning unit (AU) for the territories produced under the fourth inventory and by ecological planning unit (UPE) for the territories produced as part of the fifth inventory. __ ⚠️ Notes: __ Consult the [original ecoforest map and current inventory results] ] (https://www.donneesquebec.ca/recherche/dataset/resultats-d-inventaire-et-carte-ecoforestiere) for the results of forest compilations by population, also available on Data Quebec. **This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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).**

This dataset provides a listing and relevant details for forest resource processing facilities (mills) that are licensed and operating or require a licence to operate in Ontario. Contents include: * Facility Code * Name * Facility Type * MNRF Region * Address * City * Province * Postal Code * Latitudinal and Longitudinal Coordinates All facilities that use 1,000 cubic metres or more of forest resources in one year require a facility licence.

Under the Regulation Respecting the Mandatory Reporting of Certain Contaminant Emissions into the Atmosphere (RDOECA), the Ministry of the Environment, the Fight against Climate Change, Wildlife and Parks collects data on greenhouse gases (GHGs) emitted by Quebec businesses in particular. Thus, any person or municipality operating an establishment that emits GHGs into the atmosphere in a quantity equal to or greater than 10,000 metric tons in CO2 equivalent (t eq. CO2) is required to report its emissions no later than June 1 of each year. The data is presented in separate files: * Total biogenic and CO2 emissions per establishment; * Emissions per establishment and per greenhouse gas and per establishment. Total emissions files include the total quantity of GHGs, the total quantity of GHGs excluding CO2 from biomass, the quantity of CO2 from the combustion of biomass, and the quantity of CO2 from other uses of biomass (for example fermentation). The emission files by establishment and by greenhouse gas include the quantity emitted of each of the GHGs in metric tons and t eq. CO2. Note that CO2 emissions include those from biomass. The data presented in this dataset includes emissions from mandatory and voluntary reporting.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**