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.

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.

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

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

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).**

“Forillon National Park - Total Ecosystem Forest Carbon Density” is the annual carbon density (tonnes carbon per hectare) within Forillon’s forested ecosystems over a 31-year period from 1990 to 2020. Total Ecosystem Forest Carbon Density includes aboveground and belowground biomass, soil carbon, and dead organic matter. Total Ecosystem Forest Carbon Density was estimated for 31 national parks using the Generic Carbon Budget Model (GCBM), a spatially explicit carbon budget model developed by Canadian Forest Service which uses forest inventory, disturbance, and mean annual temperature data along with yield data to estimate growth and merchantable volume for dominant tree species. Species- and Ecozone-specific equations are then used to convert merchantable volume to aboveground and belowground biomass carbon. Ecozones were classified according to Canada Ecological Land Classification Level 1. The GCBM simulates carbon dynamics to produce spatially explicit estimations of carbon stocks and fluxes. The model simulates and tracks carbon stocks, transfers between Intergovernmental Panel on Climate Change-defined pools, and other metrics including net ecosystem production, net biome production, and emissions of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) in annual time steps. The stocks and fluxes are also tracked by disturbance event (e.g., forest fires, insect outbreaks). Total Ecosystem Forest Carbon Density accounts for the effects of natural and anthropogenic disturbances, including wildfires, prescribed burns, and insect outbreaks. These products have a spatial resolution of 30m. This information is part of the Parks Canada Carbon Atlas Series. To obtain a copy of this report, please contact changementclimatique-climatechange@pc.gc.ca. When using this data, please cite as follows: Sharma, T., Kurz, W.A., Fellows, M., MacDonald, A.L., Richards, J., Chisholm, C., Seutin, G., Richardson, K., Keenleyside, K. (2023). Parks Canada Carbon Atlas Series: Carbon Dynamics in the Forests of Canada’s National Parks. Scientific Report. Parks Canada Agency, Gatineau, QC, Canada, 104 p.

“Forillon National Park – Total GHG Emissions” datasets consist of estimates of GHG emissions (carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O)) in carbon dioxide equivalents (CO2e) from forested ecosystems in Forillon National Park from 1990 to 2020 (tonnes carbon dioxide equivalent per hectare). Total GHG emissions for 31 national parks were estimated using the Generic Carbon Budget Model (GCBM), a spatially explicit carbon budget model developed by Canadian Forest Service which uses forest inventory, disturbance, and mean annual temperature data along with yield data to estimate growth and merchantable volume for dominant tree species. Species- and Ecozone-specific equations are then used to convert merchantable volume to aboveground and belowground biomass carbon. The GCBM simulates carbon dynamics to produce spatially explicit estimations of carbon stocks and fluxes. The model simulates and tracks carbon stocks, transfers between Intergovernmental Panel on Climate Change (IPCC)-defined pools, and other metrics including net ecosystem production, net biome production, and emissions of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) in annual time steps. The stocks and fluxes are also tracked by disturbance event (e.g., forest fires). Total GHG emissions include those from natural processes like respiration and decomposition and those due to natural and anthropogenic disturbances, including wildfires, prescribed burns, and insect outbreaks. These were calculated as the sum of CO2, CH4, and N2O emission estimates in tonnes carbon (tonnes C) generated by the GCBM. Emissions estimates were then converted to carbon dioxide equivalents (CO2e) using the 100-year Global Warming Potential (IPCC Fourth Assessment Report) factors for CH4 (25) and N2O (298). These products have a spatial resolution of 30m. This information is part of the Parks Canada Carbon Atlas Series. To obtain a copy of this report, please contact changementclimatique-climatechange@pc.gc.ca. When using this data, please cite as follows: Sharma, T., Kurz, W.A., Fellows, M., MacDonald, A.L., Richards, J., Chisholm, C., Seutin, G., Richardson, K., Keenleyside, K. (2023). Parks Canada Carbon Atlas Series: Carbon Dynamics in the Forests of Canada’s National Parks. Scientific Report. Parks Canada Agency, Gatineau, QC, Canada, 104 p.

The dataset represents known concentration areas of harvested or unharvested Arctic wedge clam (Mesodesma arctatum) in 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 purposes in case of an oil spill. Concentration areas were delimited using Fisheries and Oceans Canada (DFO) inventories conducted between 2000 and 2020 and data from various DFO research projects. For more information on how the data layer was built, see the metadata included in its shapefile (.shp), particularly the “Lineage” section. This layer is dependent on the inventories carried out and thus only represents the known concentration areas of the Arctic wedge clam. It 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 beds were mapped based on DFO research project data which were compiled in a benthic biodiversity Access database. Polygons drawn around these data are not precise and may be reviewed. The polygons delimited based on inventory 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: Bourdages, H., P. Goudreau, J. Lambert, L. Landry et C. Nozères. 2012. Distribution des bivalves et gastéropodes benthiques dans les zones infralittorale et circalittorale des côtes de l’estuaire et du nord du golfe du Saint-Laurent. Rapp. tech. can. sci. halieut. aquat. 3004: iv + 103 p. Brulotte, S. Données non-publiées. Pêches et Océans Canada. Brulotte, S. 2011. Évaluation des stocks de mye commune des eaux côtières du Québec. Secr. can. de consult. sci. du MPO. Doc. de rech. 2011/44: x + 53 p. Brulotte, S. 2012. Évaluation des stocks de buccin des eaux côtières du Québec. Secr. can. de consult. sci. du MPO. Doc. de rech. 2012/058: xi + 106 p. Brulotte, S. et 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. Gendreau, Y. 2018. MS Access database on benthic biodiversity. Fisheries and Oceans Canada. Giguère, M., S. Brulotte et 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 et 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. Provencher, L. Unpublished data. Fisheries and Oceans Canada. Provencher, L. et C. Nozères. 2011. Protocole de suivi des communautés benthiques de la zone de protection marine Manicouagan. Secr. can. de consult. sci. du MPO. Doc. de rech. 2011/051:iv +25 p.

Stimpson's surfclam or Arctic surfclam (Mactromeris polynyma) concentration areas in 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: exploratory fisheries, scientific surveys and fishermen's logbooks. Commercial fishery data come from three distinct sources of information: the purchase receipt, the fishermen's logbook and commercial sampling by Fisheries and Oceans Canada (DFO). All data comes from the research document published in 2015. These concentration areas are considered among the most abundant and are used for commercial fishing (note: high densities are not found strictly in these beds). This dataset does not represent the general distribution of the species nor the extent to which fishing is allowed. 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 sampling occur where the target resource is 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 most recent research survey is published. Data sources and references : DFO. 2007. Évaluation des stocks de quahog nordique (Arctica islandica) du banc de l'île de Sable et de la baie St. Mary's, et du stock de mactre de Stimpson (Mactromeris polynyma) du Banquereau. Secr. can. de consult. sci. du MPO. Avis sci. 2007/034 (Révisé). Lambert J. et P. Goudreau. 1997. Biologie et exploitation de la mactre de Stimpson (Mactromeris polynyma) sur les côtes du Québec. Sec. can. éval. stock du MPO. Doc. rech. 1997/101. 44 p. Landry, T.E., E. Wade, E. et M. Giguère. 1992. Évaluation des gisements de mactre de Stimpson, Mactromeris polynyma, dans le golfe du Saint-Laurent: résultats préliminaires. MPO, CSCPCA Doc. rech. 1992/086. 29 p. Trottier, S. et P. Goudreau. 2015. Évaluation des stocks de mactre de Stimpson (Mactromeris polynyma) des eaux côtières du Québec en 2014. Secr. can. de consult. sci. du MPO. Doc. de rech. 2016/063. Ix + 72 p.