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

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 redfish (Sebastes sp.) includes the metadata, sample weight, fish length, the sex and the number of specimens measured. This dataset covers the periods of 1980-1996, 1999-2013, 2015-2016 and 2019. 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.

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.

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).**

A Township is a land subdivision in Ontario. This information was captured through the Ontario Base Mapping Program, is maintained by the Ministry of Natural Resources and distributed through Geospatial Ontario (GEO) Warehouse. The spatial accuracy for some of the townships was improved through the Ontario Parcel, Township Realignment and Township Improvement projects. Improvements may include: * road allowance widths * spatial changes to better represent where the township boundaries are located * more consistent concession names Materials used to improve the location of township lines may include: * township Improvement plots * survey information i.e. retracements * original township plans * surveys notes * the physical features e.g. fence lines in the corporate editing environment * water bodies * GPS Ontario Road Network geometry This product requires the use of geographic information system (GIS) software.

A listing of Early Childhood Development Support Sites that provide information and resources as well as professional development opportunities for early childhood educators.

This provincial layer shows the site locations of onshore wind power Applicants of Record seeking regulatory approvals for renewable energy projects on Crown land. The ministry will not accept another application for the same lands at the same time under the Renewable Energy on Crown Land (RECL) policy.

The Gulf of St. Lawrence At-Sea Observer Program is part of the Fisheries Monitoring Policy of the Department of Fisheries and Oceans Canada (DFO) (https://www.dfo-mpo.gc.ca/reports-rapports/regs/sff-cpd/fishery-monitoring-surveillance-des-peches-eng.htm#toc13). Its purpose is to ensure accurate verification of fishing activities at sea by an independent third party, and to provide DFO with scientific data on catches. The fishing industry and DFO depend on the proper communication of this information for fisheries management, monitoring and scientific research activities. Biological data on fish and marine invertebrates collected by the At-Sea Observer Program is one of the sources of information used by DFO to assess the status of these resources. Biological data protocols are the subject of an annual consultation with the biologists responsible for assessing each of the exploited stocks. This dataset contains the sum of weight data for species caught, by NAFO (Northwest Atlantic Fisheries Organization) sub-division and by year from 1999-2023, from commercial species directed fisheries for stock assessments in the Quebec region. It also includes length frequencies for species caught when required by protocol. To preserve the confidentiality of the fishing industry, data are only presented when fishing activity has been observed on a minimum of 5 vessels in a given NAFO area. The data presented are raw and should be interpreted with caution. They may contain errors such as spatial coordinates, landing weights or inaccurate or unreliable species identifications. A brief review of the taxonomy was carried out by DFO taxonomist cited as collaborator. His comments can be found in the “REMARK_IDENT” column preceded by the code “Claude_Nozere”.

This data breaks down estimated hunters as well as antlered, antlerless and total harvest numbers by: * wildlife management unit (WMU) * calendar year Harvest and active hunter numbers are estimates based on replies received from a sample of resident hunters and are therefore subject to statistical error. Additional technical and statistical notes can be found in the data dictionary.

Number of Child Care Subsidy Program open cases, monthly, from 2010. One case could be a single child or a number of children in the same family.