This theme presents the location of samples of contaminants of emerging interest (CIE) carried out by the Directorate-General for Monitoring the State of the Environment (DGSEE) 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).**

The Community Health Boards of Nova Scotia and the areas that they are responsible as shown by their spatial distribution.

This dataset contains the total annual releases of radionuclides released directly to the environment through stack emissions from uranium and nuclear substance processing facilities in Canada. This original radionuclide releases dataset of the uranium and nuclear substance processing facilities provides results for both stack emissions and direct discharge (i.e. releases to water). The dataset has been divided in two subsets for better discoverability. In this record as its title indicates, you will find the stack emissions results mapped. Make sure to look at the uranium and nuclear substance processing facilities direct discharge record in order to obtain a complete picture.

This dataset contains the total annual releases of radionuclides released directly to the environment through direct discharge (i.e. releases to water) of the nuclear power plants in Canada. This original radionuclide releases dataset of the nuclear power plants provides results for both stack emissions and direct discharge. The dataset has been divided in two subsets for better discoverability. In this record as its title indicates, you will find the direct discharge results mapped. Make sure to look at the nuclear power plants stack emissions record in order to obtain a complete picture.

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

Polyline layer of the road network drawn at the center of each lane on the territory of the city of Shawinigan.! [Shawinigan logo] (https://jmap.shawinigan.ca/doc/photos/LogoShawinigan.jpg) **Collection method** From Autocad digital files **Attributs** * `objectid` (`integer`): * `id_troncon` (`integer`): ID Section * `st_length (shape) ** `st_length (shape) `(`double`): * `rue_toponymie` (`char`): * `rue_partiel` (`char`): * `street` (`char`): * `char`): * `char`): * `rue_balance` (`char`): * `sector` (`char`): * `char`): * `char`): * `request_for_jmap` (`char`): * `char` (`char`): * `de` (`char`): * `char`): * `de` (`char`): * `char`): * `de` (`char`): * `char`): * `char` pairde` (`char`): * `nocivicpaira` (`char`): * `nocivicodde` (` char`): * `nocivicoda` (`char`): * `char`): * `nbre_ways` (`smallint`): * `owner` (`char`): * `char`): * `char`): * `functional classification` (`char`): * `character` (`char`): * `character` bus` (`char`): * `trucking` (`char`): * `area_m2` (`integer`): * `width_m` (`smallint`): * `drainage` (`char`): * `char`): * `coderives` (`char`): * `rive1dlong_m` (`smallint`): * `rive1dlength_m` (`smallint`): * `drainage` (`char`): * `drainage` (`char`): * `char`): * `drainage` (`char`): * `char`): * `drainage` (`char`): * `char`): * `drainage` (`char`): * `charslength_m` (`smallint`): * `rive2dlength_m` (`smallint`): * `rive2slength_m` (`smallint`): * `rive1dmaterial` (`char`): * `rive1dmaterial` (`char`): * `rive1 smateriau` (`char`): * `rive2dmateriau` (`char`): * `rive2smateriau` (`char`): * `rive1dtype` (`char`): * `rive1stype` (`char`): * `rive2dtype` (`char`): * `rive2stype` (`char`): * `rive2stype` (`char`): * `rive2stype` (`char`): * `vocation` (`char`): * `statusvaluation` (`char`): * `yeare_origine` (`char`): * `yeare_reconstruction` (`char`): * `yeare_resurfacing` (`char`): * `annee_resurfacing` (`char`): * `annee_origin_estimee` (`char`): * `annee_origin_estimee` (`char`): * `annee_origin_estimee` (`char`) `): * `yeare_planagepavage` (`smallint`): * `smallint`): * `char` (`char`): * `yeare_1e_paving` (`char`): * `notes` (`char`): * `char`): * `speed` (`smallint`): * `hierarchical_level` (`char`): Hierarchical level 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).**

Catch, effort, location (latitude, longitude), relative abundance indices, and associated biological data from groundfish multi-species bottom trawl surveys in Queen Charlotte Sound (QCS), Hecate Strait (HS), West Coast Vancouver Island (WCVI), West Coast Haida Gwaii (WCHG) and the Strait of Georgia (SOG), British Columbia. Introduction This is 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 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 the Canadian Coast Guard research vessel W.E. Ricker. In years when the W.E. Ricker has not been available, the Hecate Strait and West Coast Vancouver Island surveys have taken place on chartered industry vessels.

The Ministry of Education (MEQ) annually calculates two deprivation indices for the 69 school service centers and linguistic school boards: • the Socio-economic Environment Index (IMSE), which consists of the proportion of families with children whose mothers do not have a diploma, certificate or degree (which represents two thirds of the weight of the index) and the proportion of households whose parents were not employed during the week of reference of the Canadian census (which represents a third of the weight of the index). • The Low Income Threshold Index (LFS) corresponds to the proportion of families with children whose income is close to or below the low income threshold. The low-income cut-off is defined as the income level at which families are estimated to spend 20% more than the overall average on food, housing, and clothing. It provides information that is used to estimate the proportion of families whose incomes can be considered low, taking into account the size of the family and the environment of residence (rural region, small urban area, large agglomeration, etc.). For the 2024-2025 school year, the socio-economic data used are extracted from the 2016 Canadian census and relate to the situation of Quebec families with at least one child aged 0 to 18. Depending on their geographical position, these families are grouped together in one of the 3,680 settlement units established by the Ministry. The annual school indices are grouped in decimal rank in order to locate the relative position of the school among all public schools, for primary and secondary education. Note that schools may include more than one school building, that no index is calculated for school boards with special status (Cree, Kativik and Littoral) and that only schools with 30 students or more are selected (without an MEQ-MSSS agreement). For the school year 2024-2025, 689 primary schools and 194 secondary schools are in deciles 8, 9 or 10 according to the IMSE index and make up the group of schools said to be in more disadvantaged areas. These schools respectively welcome a total of 158,176 and 116,843 students, representing 30% of the public network for each of these two levels of education.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Mean 2013 to 2022 summer surface conditions in the Estuary and Gulf of St. Lawrence. Data come from the August and the September multidisciplinary surveys. Surface conditions are described by temperature, salinity and nutrient concentration (mmol/m³) interpolated on a 10 km x 10 km grid. Purpose Since 1990, the Department of Fisheries and Oceans has been conducting an annual multidisciplinary survey in the Estuary and northern Gulf of St. Lawrence using a standardized protocol. In the southern Gulf of St. Lawrence, these bottom trawl surveys has been carrying out each September since 1971. These missions are an important source of information about the status of the marine ressources. The objectives of the surveys are multiple: to estimate the abundance and biomass of groundfish and invertebrates, to identify the spatial distribution and biological characteristics of these species, to monitor the biodiversity of the Estuary and Gulf and finally, to describe the environmental conditions observed in the area at the moment of the sampling. The southern Gulf surveys are realized using the following standardized protocol: Hurlbut,T. and D.Clay (eds) 1990. Protocols for Research Vessel Cruises within the Gulf Region (Demersal Fish) (1970-1987). Can. MS Rep. Fish. Aquat. Sci. No. 2082: 143p. The sampling protocols used for the Estuary and northern Gulf surveys are described in details in the following publications: Bourdages, H., Archambault, D., Bernier, B., Fréchet, A., Gauthier, J., Grégoire, F., Lambert, J., et Savard, L. 2010. Résultats préliminaires du relevé multidisciplinaire de poissons de fond et de crevette d’août 2009 dans le nord du golfe du Saint-Laurent. Rapp. stat. can. sci. halieut. aquat. 1226 : xii+ 72 p. Bourdages, H., Archambault, D., Morin, B., Fréchet, A., Savard, L., Grégoire, F., et Bérubé, M. 2003. Résultats préliminaires du relevé multidisciplinaire de poissons de fond et de crevette d’août 2003 dans le nord du golfe du Saint-Laurent. Secr. can. consult. sci. du MPO. Doc. rech. 2003/078. vi + 68 p. Annual reports are available at the Canadian Science Advisory Secretariat (CSAS), (http://www.dfo-mpo.gc.ca/csas-sccs/index-eng.htm). Bourdages, H., Brassard, C., Desgagnés, M., Galbraith, P., Gauthier, J., Légaré, B., Nozères, C. and Parent, E. 2017. Preliminary results from the groundfish and shrimp multidisciplinary survey in August 2016 in the Estuary and northern Gulf of St. Lawrence. DFO Can. Sci. Advis. Sec. Res. Doc. 2017/002. v + 87 p.

The Grain Elevators in Canada - 2019 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.