A Retaining Wall is a structure designed to protect the road infrastructure by retaining materials on the fill side to prevent road bed slips and by retaining materials on the cut side to prevent the road surface from being covered by debris. Retaining walls that are greater than or equal to 2m in height are stored in the MoT Bridge Structure Road dataset. It is a Linear feature

Distribution of clam beds in coastal Beds in British Columbia showing relative abundance (RA) and aboriginal, biological, commercial and recreational relative importance (RI) and overall RI. RI is based on project region and not on the province as a whole. and productivity. Other attributes include season dates, productivity and species. CRIMS is a legacy dataset of BC coastal resource data that was acquired in a systematic and synoptic manner from 1979 and was intermittently updated throughout the years. Resource information was collected in nine study areas using a peer-reviewed provincial Resource Information Standards Committee consisting of DFO Fishery Officers, First Nations, and other subject matter experts. There are currently no plans to update this legacy data.

The purpose of this study was to characterize the kelp bed at Batture-aux-Alouettes, a preferred food source for the green sea urchin (Strongylocentrotus droebachiensis). The green urchin is fished commercially in Quebec and the fishing effort is concentrated on the Batture-aux-Alouettes near Tadoussac, at the mouth of the Saguenay Fjord. The study was conducted in two separate phases in 2018 and 2019. The main objective of this study was to determine the abundance and biomass of the kelp bed at Batture-aux-Alouettes. The first phase, using a stratified random sampling design, was conducted from August 21th to August 24th, 2018. Sampling of two 50 x 50 cm quadrats, separated by a distance of approximately 30 m, was conducted at eleven sites during twelve dives in the eastern section of the Batture-aux-Alouettes to collect kelp for biomass estimation and macroalgal species richness assessment. In the second phase, a total of 429 stations were first sampled between July 15 and 18, 2019 with a camera system dropped in two 50 x 50 cm quadrats. The presence or absence of kelp, percent macroalgal cover, and substrate type were assessed for each photo. As a result of this underwater photographic analysis, 129 of these stations were identified as having a presence of kelp and 88 of these stations had a presence of other algal species. To ensure equal representation of the different depth strata, the stations with kelp were divided into three depth categories: shallow (-1.7 m to 0 m), medium (0 m to 2 m) and deep (2 m to 5 m). Dives were conducted from August 13 to 15, 2019, at ten of these stations using a stratified random sampling design, taking care to ensure a balanced spatial distribution as well as an equal distribution of the different depth strata (four in the shallow, three in the medium, and two in the deep). Sampling of the 50 x 50 cm dive quadrat took place at three different distances spaced 5 m apart from a transect, i.e. at the 3 m (_3m), 8 m (_8m) and 13 m (_13m) mark. If there was little or no kelp in the quadrat, the quadrat sampling could be repeated for up to four quadrats per distance for a total area of 1 m². Two additional quadrats were conducted (_x) at two stations. Biomass assessment was also done via "cookie cutter" sampling (_CC). Divers took the same 50 x 50 cm quadrat and placed it on a selected (i.e., non-random) plot with 100% kelp cover.The three files provided (DarwinCore format) are complementary and are linked by the "eventID" key. The "event_information" file includes generic information about the event, such as date and location. The "additional_information_event_and_occurrence" file includes sample size, protocol and sampling effort. The "taxon_occurrence" file includes the taxonomy of the species observed, identified to the species or lowest possible taxonomic level. To obtain the abundance and biomass assessment of the kelp bed at Batture-aux-Alouettes, contact Rénald Belley (renald.belley@dfo-mpo.gc.ca).For quality control, the organisms were identified in the field fallowing the guide: Chabot, Robert et Anne Rossignol. 2003. Algues et faune du littoral du Saint-Laurent maritime : Guide d'identification. Institut des Sciences de la mer de Rimouski, Rimouski; Pêches et Océans Canada (Institut Maurice-Lamontagne), Mont-Joli. 113 pages. The taxonomy was checked against the World Register of Marine Species (WoRMS) to match recognized standards and using the R obistools and worrms libraries. The WoRMS match was placed in the "scientificNameID" field of the occurrence file. All sample locations were spatially validated. This project was funded by DFO Coastal Environmental Baseline Program under Canada’s Oceans Protection Plan. This initiative aims to acquire environmental baseline data contributing to the characterization of important coastal areas and to support evidence-based assessments and management decisions for preserving marine ecosystems.

Likelihood of Presence of Soft Shelled Clams in the Bay of Fundy and Port Hawkesbury Area Response Plan. The Coastal Oceanography and Ecosystem Research section (DFO Science) reviewed reported Clam harvest and study areas as well utilized local knowledge of the areas to estimate clam flats. A version of this dataset was created for the National Environmental Emergency Center (NEEC) following their data model and is available for download in the Resources section.Cite this data as: Lazin, G., Hamer, A.,Corrigan, S., Bower, B., and Harvey, C. Data of: Likelihood of presence of Soft Shelled Clam in Area Response Planning pilot areas. Published: June 2018. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, St. Andrews, N.B. https://open.canada.ca/data/en/dataset/59121e8f-0acc-411a-99cb-54980df10ba6

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.

This new data class brings over data from the Waste Management Information System (WMIS), which is a Microsoft Access based database used by the Ministry of Natural Resources (MNR) to track Waste Management Sites. This was married with the spatial data from Waste Disposal Sites where possible Different Waste Disposal Site types collected by the Ministry of Natural Resources include: * Compost Disposal * Hazardous Waste Disposal * Household Waste Disposal * Industrial Waste Disposal * Septic Drying Bed * Septic Field * Sewage Disposal * Tile Bed * Transfer Station This product requires the use of geographic information system (GIS) software.

The data in this layer represents habitat suitability of soft-shelled clams (Mya arenaria) in the DFO Maritimes region, and was developed using an interdepartmental approach. Substrate classification data as well as bathymetric data for the Region were used to identify potential habitat for soft-shelled clams. Substrates identified as suitable included: sand, mud, sand and mud (Greenlaw, 2022). Contours (0m and 70m) from GEBCO bathymetric data were used to isolate depths between which soft-shelled clams are present. At this stage, a polygon reflecting soft substrates from 0-70m was created as "Suitable". A "Not Suitable" layer was similarly created using the substrates: boulders, continuous bedrock, discontinuous bedrock, gravel, mixed sediment, sand and gravel.To digitally validate the model, the Regional shoreline was divided into subsectors (developed by Environment and Climate Change Canada for the Canadian Shellfish Sanitation Program). Data from DFO (clam harvesting intensity) as well as Conservation and Protection (clam harvesting infraction locations) were used to established species presence within each sub-sector. If there had been any harvesting activity, legal or illegal, in an individual subsector, it was considered "Suitable and Validated". Merged into one final product, the model includes areas that are "Not Suitable", "Suitable", as well as "Suitable and Validated" for soft-shelled clam habitat.Cite this data as: Harvey, C., Vincent, M., Greyson, P., Hamer, A. (2024) Data of: A Soft-Shelled Clam (Mya arenaria) Habitat Suitability Model For The DFO Maritimes Region.Published: January 2024. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, St. Andrews, N.B. https://open.canada.ca/data/en/dataset/c76f7813-d802-4b31-8ebe-476f8a7cacf2

The Maritimes Region is divided into seven Clam Harvesting Areas (CHA).CLAM HARVESTING AREA 1 is described as follows:The inland and tidal waters of the counties of Colchester, Cumberland and Hants that border and flow into the Bay of Fundy.CLAM HARVESTING AREA 2 is described as follows:The inland and tidal waters of the counties of Annapolis, Digby and Kings.CLAM HARVESTING AREA 3 is described as follows:The inland and tidal waters of Yarmouth County.Time restrictions for Clam Harvesting Area 3: No person shall fish for clams from sunset each Saturday until sunrise on the following Monday (closed Sundays) in the boundaries of Clam Harvesting Area 3.CLAM HARVESTING AREA 4 is described as follows:The inland and tidal waters of the counties of Shelburne, Queens and Lunenburg and that portion of Halifax County west of Pennant Point (as defined in the Territorial Sea Geographical Coordinates Order (C.R.C., c. 1550), Schedule I, Area 4).CLAM HARVESTING AREA 5 is described as follows:The inland and tidal waters of Guysborough County and that portion of Halifax County east of Pennant Point (as defined in the Territorial Sea Geographical Coordinates Order (C.R.C., c. 1550), Schedule I, Area 4).CLAM HARVESTING AREA 6 is described as follows:The inland and tidal waters of the counties of Richmond and Cape Breton, all of Victoria County except that portion between Cape North and Inverness County and that portion of Inverness County that borders on the Bras d'Or Lakes.NEW BRUNSWICK - BAY OF FUNDY CLAM HARVESTING AREA 7 is described as follows:The inland and tidal waters of the counties of Charlotte, Saint John and Albert that flow into the Bay of Fundy.

These structure, isopach and zero edge files are part of a series of stratigraphic framework maps for the Saskatchewan Phanerozoic Fluids and Petroleum Systems (SPFPS) project.The series of stratigraphic framework maps for the Saskatchewan Phanerozoic Fluids and Petroleum Systems (SPFPS) project have been produced using 2 km equi-spaced modified grids generated from Golden Software’s Surfer 9 kriging algorithm. The dataset used to produce each of the maps in this series was created using data from several projects completed by the Ministry (Christopher, 2003; Saskatchewan Industry and Resources et al., 2004; Kreis et al., 2004; Marsh and Heinemann, 2006; Saskatchewan Ministry of Energy and Resources et al., 2007; Heinemann and Marsh, 2009); these data were validated and edited as required to facilitate correlations between the various regional projects. In addition, to minimize edge effects during contouring, the senior author also generated stratigraphic data from wells in adjacent jurisdictions.

These structure, isopach and zero edge files are part of a series of stratigraphic framework maps for the Saskatchewan Phanerozoic Fluids and Petroleum Systems (SPFPS) project.The series of stratigraphic framework maps for the Saskatchewan Phanerozoic Fluids and Petroleum Systems (SPFPS) project have been produced using 2 km equi-spaced modified grids generated from Golden Software’s Surfer 9 kriging algorithm. The dataset used to produce each of the maps in this series was created using data from several projects completed by the Ministry (Christopher, 2003; Saskatchewan Industry and Resources et al., 2004; Kreis et al., 2004; Marsh and Heinemann, 2006; Saskatchewan Ministry of Energy and Resources et al., 2007; Heinemann and Marsh, 2009); these data were validated and edited as required to facilitate correlations between the various regional projects. In addition, to minimize edge effects during contouring, the senior author also generated stratigraphic data from wells in adjacent jurisdictions.