L’Atlas agropédologique est un ensemble de couches qui montrent les caractéristiques, la fertilité, la qualité du régime hydrique, la vulnérabilité à la dégradation et le potentiel des sols et des terres agricoles situées en Montérégie dans la province de Québec. An English version is available at http://nlwis-snite1.agr.gc.ca/cgi-bin/ogc/apaq-aapq_wms_e?service=wms&request=getcapabilities

L'atlas agropédologique est un ensemble de cartes interactives qui montrent les caractéristiques, la fertilité, la qualité du régime hydrique, la vulnérabilité à la dégradation et le potentiel des sols et des terres agricoles situées en Montérégie dans la province de Québec.

Species characterization by environmental DNA (eDNA) is a method that allows the use of DNA released into the environment by organisms from various sources (secretions, faeces, gametes, tissues, etc.). It is a complementary tool to standard sampling methods for the identification of biodiversity. This project provides a list of invertebrates species whose DNA has been detected in water samples collected at 2018 using the marker COI. The surveys were carried out in the summer of 2018 from August 11 to 14, between Forestville and Godbout (Haute-Côte-Nord). Sampling was carried out between 9-52 meters depth in 40 stations with one sample par station. Two liters of water were filtered through a 1.2 µm fiberglass filter. DNA extractions were performed with the DNeasy Blood and Tissue extraction kit (Qiagen). Negative field, extraction and PCR controls were added at the different stages of the protocol. Libraries at the COI locus were prepared by Genome Quebec and sequenced on an Illumina MiSeq PE250 system. The bioinformatics analysis of the sequences obtained was carried out using an in-house analysis pipeline as reported in Bourret et al. 2022. A first step made it possible to obtain a molecular operational taxonomic unit table (MOTU) using the cutadapt software for the removal of the adapters and the DADA2 R package for the filtration, fusion, chimera removal and data compilation. The MOTUs table was subsequently corrected by taking into account the negative controls, where the number of observations in the latter was removed from the linked samples. Singleton MOTUs have also been removed. Finally, the taxonomic assignments were carried out on the MOTUs using the IDTAXA classifier (present in the DECIPHIER R package) using a training set trained on the COI reference bank for Golf St-Laurent (GSL-rl v1.0, https://github.com/GenomicsMLI-DFO/MLI_GSL-rl) and a threshold of 40. Detections with an “Unreliable due to gaps” category were reported at the genus level only. The file provided includes generic activity information, including site, station name, date, marker type, assignment types used for taxa identification, and a list of taxa or species. The list of taxa has been verified by a biodiversity expert from the Maurice-Lamontagne Institute. This project was funded by Fisheries and Oceans Canada's Coastal Environmental Baseline Data Program under the Oceans Protection Plan. This initiative aims to acquire baseline environmental data that contributes to the characterization of significant coastal areas and supports evidence-based assessments and management decisions to preserve marine ecosystems. Data are also available on SLGO platform : https://doi.org/10.26071/ogsl-cd4c205b-f63b

The RTC makes its stop, schedule, and route data (“Public Information”) available in two standardized formats: * General Transit Feed Specification (GTFS) for schedule and route data * The shapefile for geospatial data on stops and routes (“Public Information”) in two standardized formats: * General Transit Feed Specification (GTFS) for schedule and route data * The shapefile for geospatial data on stops and routes Official page: https://www.rtcquebec.ca/donnees-ouvertes**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Species characterization by environmental DNA (eDNA) is a method that allows the use of DNA released into the environment by organisms from various sources (secretions, faeces, gametes, tissues, etc.). It is a complementary tool to standard sampling methods for the identification of biodiversity. This project provides a list of fish and marine mammal species whose DNA has been detected in water samples collected between 2019 and 2021 using the mitochondrial marker MiFish (12S). The surveys were carried out in the summer of 2019 (July 14-18) and (July 30 - August 5), in the fall of 2020 (October 27-28) and in the summer-fall of 2021 (May 31 - June 3 ) and (August 24-25) between Forestville and Godbout (Haute-Côte-Nord). Sampling was carried out between 1-50 meters depth in 91 stations, with 1 to 3 replicates per station. Two liters of water were filtered through a 1.2 µm fiberglass filter. DNA extractions were performed with the DNeasy Blood and Tissues or PowerWater extraction kit (Qiagen). Negative field, extraction and PCR controls were added at the different stages of the protocol. The libraries were prepared either by Génome Québec (2019, 2020) or by the Genomics Laboratory of the Maurice-Lamontagne Institute (2021), then sequenced on a NovaSeq 4000 PE250 system by Génome Québec. The bioinformatics analysis of the sequences obtained was carried out using an analysis pipeline developed in the genomics laboratory. A first step made it possible to obtain a table of molecular operational taxonomic units (MOTU) using the cutadapt software for the removal of the adapters and the R package DADA2 for the filtration, the fusion, removal of chimeras and compilation of data. The MOTUs table was then corrected using the R package metabaR to eliminate the tag-jumping and take contaminants into consideration. Samples showing a strong presence of contaminating MOTUs were removed from the dataset. The MOTUs were also filtered to remove all remaining adapter sequences and also retain only those of the expected size (around 170 bp). Finally, taxonomic assignments were made on the MOTUs using the BLAST+ program and the NCBI-nt database. Taxonomic levels (species, genus or family) were assigned using a best match method (Top hit), with a threshold of 95%. Only assignments at the level of fish and marine mammals were considered, and the taxa detected were compared to a list of regional species, and corrected if necessary. The species detections of the different replicas have been combined. The file provided includes generic activity information, including site, station name, date, marker type, assignment types used for taxa identification, and a list of taxa or species. The list of taxa has been verified by a biodiversity expert from the Maurice-Lamontagne Institute. This project was funded by Fisheries and Oceans Canada's Coastal Environmental Baseline Data Program under the Oceans Protection Plan. This initiative aims to acquire baseline environmental data that contributes to the characterization of significant coastal areas and supports evidence-based assessments and management decisions to preserve marine ecosystems. Data were also published on SLGO platform : https://doi.org/10.26071/ogsl-2239bca5-c24a

This data report provides information on temperature and salinity in the Godbout region of the St. Lawrence Estuary. Sampling was carried out from 2019 to 2021 over an area of <5 km2. The databases provide information on temperature and salinity at an hourly rate for 2 years. The aim of this project is to analyze telemetry data from sea urchins (Strongylocentrotus droebachiensis), snow crabs (Chionoecetes opilio), rock crabs (Cancer irroratus), spider crabs (Hyas spp.) and whelks (Buccinum undatum). This report focuses on the presentation of benthic environmental data collected throughout the study with high spatial and temporal resolution. All reported variables were collected at the seafloor, as the aim of the project was to study the movement of epibenthic species. Temperature data were collected from three devices: telemetry receivers with integrated temperature sensors (InnovaseaTM), HoboTM and Star-OddiTM probes. Temperature data processing involved cleaning up extreme values (below 2°C and above 20°C) and homogenizing the data to fit the bathymetry matrix (1m x 1m cells) of the study site. Temperature data are provided in a NetCDF file with a matrix of the entire study site, where there is a stratum for each hour between August 2019 and October 2021 and in each file, a temperature value for each pixel of the raster. Salinity data were collected from Star-OddiTM probes only. Salinity values were averaged hourly for the entire study area. Salinity data is provided as a CSV file with one salinity value per hour for the entire study area.

Sea scallop (Placopecten magellanicus) and Iceland scallop (Chlamys islandica) concentration areas of this layer are described as being known and commercially exploited historically and/or currently. The mapping of these areas is based on several sources of information: research surveys (since 1977, annually but alternating sectors since 2009), exploratory fisheries (2000, 2001, 2003) and commercial fisheries (annually). These concentration areas are considered among the most abundant beds and are used for commercial fishing. This layer does not represent the general distribution of the species nor the extent to which fishing is allowed and does not take into account the large unexploited beds. The extent of shellfish beds can change over time in response to, among others, harvesting and recruitment rates. The polygons might underestimate the concentration areas because fishing and scientific surveys occurred where the target resource was known to be more abundant. However, the precision is good enough for resource protection and management needs in case of an environmental incident. This information is valid until data from a more recent research survey is published. Data sources and references: Bourdages, H. et Goudreau, P. 2010. Évaluation des stocks de pétoncles des eaux côtières du Québec en 2009 : données de la pêche commerciale. Secr. can. de consult. sci. du MPO. Doc. de rech. 2010/068. viii + 69 p. Giguère, M., Brulotte, S. et Goudreau, P. 2000. État des stocks de pétoncles des eaux côtières du Québec. Secr. can. de consult. sci. du MPO. Doc. de rech. 2000/086. xi + 46 p. Trottier, S., Bourdages, H., Goudreau, P et Brulotte, S. 2017. Évaluation des stocks de pétoncle des eaux côtières du Québec en 2015: données de la pêche commerciale, des relevés de recherche et des pêches exploratoires. Secr. can. de consult. sci. du MPO. Doc. de rech. 2017/037: xvi + 176 p.

Map file (shapefile) relating to the location of health and social services network installations. The installation is the physical place where health care and social services are provided to the population of Quebec, as part of one or more missions. Map file (shapefile) relating to the location of establishments in the health and social services network. The establishment is the legal entity with legal capacities and responsibilities, which are licensed by the Minister of Health and Social Services to manage services corresponding to the five main missions defined in the law.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The dataset represents known concentration areas of harvested or unharvested Atlantic surfclam (Spisula solidissima) in the Gulf of St. Lawrence, around the Magdalen Islands. The dataset was created for the National environmental emergencies center (NEEC) for preparation and response in case of an oil spill. Concentration areas were delineated using Fisheries and Oceans Canada (DFO) inventories conducted between 2000 and 2020, commercial fisheries data (logbooks and purchase receipts from 2002 to 2020 and observations at sea from 2005 to 2017), data from exploratory fisheries as well as interviews. This layer is dependent on the inventories carried out and thus only represents the known areas of the Atlantic surfclam. This dataset does not represent the general distribution of the species nor the extent to which fishing is allowed. Most of the information comes from inventories that did not necessarily target this species, therefore its distribution is undoubtedly wider than what is recorded in this layer. In addition, the extent of shellfish beds can change over time in response to, among others, harvesting and recruitment rates. Some concentration areas were delimited based on interviews with people who locally know the resource but their delimitation remains approximate. The polygons delimited based on sampling data are more precise but might underestimate the concentration areas because sampling was made where the target resource was known to be more abundant without necessarily sampling the entire bed. Nonetheless, the precision is sufficient for resource protection and management needs in case of an environmental incident. Data sources and references: Bio-Conseil. 1986. Pêche exploratoire à la palourde (Spisula solidissima) aux Îles-de-la-Madeleine, automne 1985. Rapport final, Bio-Conseil, Pêches et Océans Canada. 24 p. Bernier, L. and L. Poirier. 1979. Evaluation sommaire du stock de mactres de l'Atlantique, Spisula solidissima Dillwyn, des Îles-de-la-Madeleine (golfe du St-Laurent). Cahier d'information, ministère de l'Industrie et du Commerce. 42 p. Bourget, E. and D. Messier. 1983. Macrobenthic density, biomass, and fauna of intertidal and subtidal sand in a Magdalen Islands lagoon, Gulf of St. Lawrence. Can. J. Zool. 61(11):2509-2518. Brulotte, S. 2013. Évaluation des stocks de la mactre de l’Atlantique, Spisula solidissima, des eaux côtières des Îles-de-la-Madeleine – méthodologies et résultats. Secr. can. de consult. sci. du MPO. Doc. de rech. 2013/082: x + 58 p . Brulotte, S. 2016. Évaluation des stocks de mactre de l’Atlantique, Spisula solidissima, des Îles-de-la-Madeleine, Québec en 2015 – méthodologie et résultats. Secr. can. de consult. sci. du MPO. Doc. de rech. 2016/074. x + 51 p. DFO. 2016. Stock Assessment of Atlantic Surfclam of the Îles-de-la-Madeleine in 2015. DFO Can. Sci. Advis. Sec. Sci. Advis. Rep. 2016/022. DFO. 2019. Assessment of the Îles-de-la-Madeleine Atlantic Surfclam stock in 2018. DFO Can. Sci. Advis. Sec. Sci. Advis. Rep. 2019/031. Fréchette, M. and M. Giguère. 1984. Rapport sur une pêche exploratoire à la palourde aux Îles-de-la-Madeleine en 1984. Pêches et Océans Canada. 17 p. Hurlbut, T and D. Clay. 1990. Protocols for research vessel cruises within the Gulf region (demersal fish) (1970-1987). Can. Manuscr. Rep. Fish. Aquat. Sci. 2082:143p. Hurtubise, S. (Fisheries Data [ZIFF] and At-Sea Observers Manager). Unpublished data. Fisheries and Oceans Canada.

The dataset represents known concentration areas of harvested or unharvested Softshell clam (Mya arenaria) in the intertidal zone of the Estuary and the Gulf of St. Lawrence, Quebec region. The dataset was created for the National environmental emergencies centre (NEEC) for preparation and response in case of an oil spill. Concentration areas were defined using Fisheries and Oceans Canada (DFO) inventories conducted between 2000 and 2020. This layer is dependent on the inventories carried out and thus only represents known clam areas. For example, for the Haute-Côte-Nord, inventories have been limited to areas open to harvesting (with the exception of 4 sectors), but it is known that the Softshell clam is also present outside these areas. In addition, little information was available for the Moyenne and Basse-Côte-Nord. This data layer does not represent the general distribution of the species nor the extent to which fishing is allowed. The extent of shellfish beds may vary over time in response to, among others harvesting and the recruitment rates. The boundaries of polygons from inventory data may be underestimated relative to the actual size of the deposit since the inventories were conducted at the location where the resource is most abundant, without necessarily sampling the entire bed. However, the accuracy is sufficient for the protection and management needs of the resource in the event of an environmental incident. Data sources and references: Brulotte, S. 2011. Évaluation des stocks de mye commune des eaux côtières du Québec. Secr. can. de consult. sci. du MPO. Doc. de rech. 2011/044. x + 53 p. Brulotte, S. 2018. Évaluation de la mye commune (Mya arenaria) des eaux côtières du Québec en 2016 – méthodologie et résultats. Secr. can. de consult. sci. du MPO. Doc. de rech. 2018/004. ix + 60 p. Brulotte, S. 2020. Évaluation des stocks de la mye commune (Mya arenaria) des eaux côtières du Québec en 2019 – méthodologie et résultats. Secr. can. de consult. sci. du MPO. Doc. de rech. 2020/055. vii + 43 p. Brulotte, S. 2022. Résultats des inventaires de gisements de mye commune (Mya arenaria) réalisés de 2016 à 2020 et mise à jour des résultats de ceux effectués de 2001 à 2014 au Québec. Secr. can. de consult. sci. du MPO. Doc. de rech. 2022/xxx. (in progress) Brulotte, S. and M. Giguère. 2003. Évaluation d'un gisement de mye commune (Mya arenaria) de l'embouchure de la rivière Mingan, Québec, Rapp. can. ind. sci. halieut. aquat. No. 2511: xi + 58. Brulotte, S., M. Giguère, S. Brillon and F. Bourque. 2006. Évaluation de cinq gisements de mye commune (Mya arenaria) aux Îles-de-la-Madeleine, Québec, de 2000 à 2003. Rapp. tech. can. sci. halieut. aquat. 2640 : xii + 92 p. Brulotte, S., Giguère, M. and Duluc, C. 2015. Essais de techniques de captage du naissain de mye commune (Mya arenaria) sur la rive nord de l’estuaire et du golfe du Saint-Laurent. Rapp. tech. can. sci. halieut. aquat. 3084 : ix + 60 p. Giguère, M., S. Brulotte and F. Hartog.2007. Évaluation de quelques gisements de mye commune (Mya arenaria) de la rive sud de l'estuaire du Saint-Laurent en 2005 et 2006. Rapp. can. ind. sci. halieut. aquat. No. 2738: xi + 107. Giguère, M., S. Brulotte, M. Boudreau and M.-F. Dréan. 2008. Évaluation de huit gisements de mye commune (Mya arenaria) de la rive nord de l’estuaire du Saint-Laurent de 2002 à 2008. Rapp. tech. can. sci. halieut. aquat. 2821 : x + 91 p. Roy, I., M. Giguère, S. Brulotte and M. Gagnon. 2003. Évaluation de douze gisements de mye commune (Mya arenaria) du sud de la Gaspésie, Rapp. Tech. can. sci. halieut. aquat. 2469: xvi + 140 p.