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We have found 89 datasets for the keyword " drumlins". You can continue exploring the search results in the list below.
Datasets: 106,156
Contributors: 42
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89 Datasets, Page 1 of 9
Surficial geology of the Bitumount area, Alberta, NTS 74E (GIS data, drumlins)
This data set is a GIS version of the surficial geology drumlin features for the Bitumount area Alberta (NTS74E), as mapped at 1:250,000 scale by L.A.Bayrock. Polygons represent the areal coverage of the drumlins, and no attributes are available.
Quaternary Geology of Central Alberta (GIS data, point features)
Locations of alluvial fans, flute/drumlin centroids and ice-thrust ridges shown on Map 213, Quaternary Geology, Central Alberta.
Counts of harbour seals (Phoca vitulina) and grey seals (Halichoerus grypus) from an aerial survey of the coast of the Newfoundland Shelf and Sandwich Bay, Labrador during the summer of 2021
Harbour seals reside throughout the year around Newfoundland and Labrador (NL). The first systematic survey for harbour seals occurred along the NL Shelf during July and August 2021 to obtain counts of hauled out individuals and assess distribution. Grey seals are seasonal residents in NL, mainly present in the summer and autumn months. Grey seals were also recorded during the survey as these two species can share haul-out locations. Surveys were flown along the coastline with a Bell 429 helicopter with photographs taken of hauled out seals. This data includes the counts of hauled out harbour, grey and unknown seals seen during the survey. Adjusted counts are also provided, which assign the unknown seals to species based on the number of positively identified harbour and grey seals from each survey day. The realized survey coverage (survey tracks) is also included. Cite this data as: Hamilton, C.D., Goulet, P.J., Stenson, G.B., and Lang, S.L.C. 2024. Data of: Counts of harbour seals (Phoca vitulina) and grey seals (Halichoerus grypus) from an aerial survey of the coast of the Newfoundland Shelf and Sandwich Bay, Labrador during the summer of 2021This data can be found in: Hamilton, C.D., Goulet, P.J., Stenson, G. B., and Lang, S.L.C. 2023. Counts and spatial distribution of harbour seals (Phoca vitulina) and grey seals (Halichoerus grypus) from an aerial survey of the coast of the Newfoundland Shelf and Sandwich Bay, Labrador during the summer of 2021. Can. Tech. Rep. Fish. Aquat. Sci. 3566: v + 39 p. https://publications.gc.ca/site/eng/9.927831/publication.html DFO. 20XX. Stock assessment of Atlantic harbour seals (Phoca vitulina vitulina) in Canada for 2019-2021. DFO Can. Sci. Advis Sec. Sci. Advis. Rep. 2023/XXX. Lang, S.L.C., St-Pierre, A.P., Hamilton, C.D., Mosnier, A., Lidgard, D.C., Goulet, P., den Heyer, C.E., Bordeleau, X., Irani, A.I., and Hammill, M.O. 20XX. Population status assessment and Potential Biological Removal (PBR) for the Atlantic harbour seal (Phoca vitulina vitulina) in Canadian waters. DFO Can. Sci. Advis. Sec. Res. Doc. 2024
Inshore Lobster Trawl Survey
An annual trawl survey is conducted in Southwestern Nova Scotia and the Bay of Fundy to assess the lobster stocks in the area. The survey is conducted with the Northeast Fisheries Science Center Ecosystem Survey Trawl (NEST), a small mesh trawl with a cod end liner, which ensures the capture of various sizes of lobster. The dimensions and location of the trawl are monitored and recorded throughout the tow using an electronic trawl mensuration system. In addition, water temperature and depth are also monitored. The target tow length is 1 kilometer which is tracked using an Olex marine charting system. Vessel crew, DFO science staff and a contracted at sea observer work together to perform required tasks and collect all relevant data. Catch from each tow is separated by species, weighed and counted. Length frequency data is collected on select groundfish and crab species and detailed morphometric data is collected on each lobster.PARAMETERS COLLECTED:Set information and profile - includes set date, time depth and locationCatch summary - weight and number caught of each speciesLength Freqeuncies - completed for up to 100 fish for selected speciesLobster Morphological Data - detailed data collected on each lobsterBottom TemperatureTrawl MetricsNOTES ON QUALITY CONTROL:Data is visually verified and double keypunched. On loading to Oracle, data is run through rigorous automated checks to verify data accuracy and integrity.SAMPLING METHODS:The target tow length is 1 kilometer which is tracked using an Olex marine charting system. Vessel crew, DFO science staff and a contracted at sea observer work together to perform required tasks and collect all relevant data. Catch from each tow is separated by species, weighed and counted. Length frequency data is collected on select groundfish and crab species, detailed morphometric data is collected on each lobster. Bottom temperature and trawl metrics are collected for each tow.CITATION LIST:Denton, Cheryl M.. 2020. Maritimes Region Inshore Lobster Trawl Survey Technical Description. Canadian technical reports of fisheries and aquatic sciences (DFO) 3376.
Grey Seal Pup Production in Canadian Waters
To estimate Grey Seal (Halichoerus grypus) pup production, photographic aerial surveys were conducted of the major Grey Seal breeding colonies in Canadian waters. The last survey was completed in January 2021. A total of 72,209 pups were counted on digital imagery from Sable Island, the largest breeding colony. Reconnaissance flights found no new colonies along the Atlantic coast of Nova Scotia and New Brunswick. Pup developmental stage surveys were undertaken on the ground or from helicopter at the seven largest breeding colonies to describe the birth distribution and correct the pup count for the estimate of pups born after the aerial photographic survey. The estimated number of pups born on Sable Island was 76,600 (SE = 2,900) and for Coastal Nova Scotia was 4,700 (SE = 550). For Sable Island, this is the first estimate of pup production since the 1960s that has not been a significant increase. Sable Island accounts for 77.5% of total pup production in Canada, and the change in trend in pup production on Sable Island is reflected in the trend in total pup production. Pup production in the Gulf of St. Lawrence continues to fluctuate with little evidence of trend over the past several decades, while at the more recently-established breeding colonies in southwest Nova Scotia, pup production continues to increase.In February 2026, the time series of grey seal pup production estimates for Maritimes Region was made open source. The open data was set up with no abbreviations or codes and restricted to just Maritimes Region. Notably there are counts in the dataset provided not linked to specific breeding colonies, for the miscellaneous locations the latitude and longitude are for roughly center of the colonies or region.Cite this data as: den Heyer., C. Data of Grey Seal Pup Production in Canadian Water. Published: April 2026. Ocean Ecosystems Science Division, Maritimes Region, Fisheries and Oceans Canada, Dartmouth NS. https://open.canada.ca/data/en/dataset/ea8962b2-0d75-4500-a3de-d631a1e5308f
DFO Newfoundland and Labrador Region Multispecies Trawl Survey - Snow Crab 2018-2025
This data is from the Newfoundland and Labrador Region Multispecies Trawl survey, specific to Snow Crab from 2018-25, with only successful tows included in the database. Details of annual survey coverage and an overview of the survey program can be found in Rideout et al. (2025) and references therein. This trawl survey follows a depth-stratified random design, designated by type = 1 (Survey). From 2021-23, a comparative fishing program (i.e., direct side-by-side paired comparison between old and new vessels) was undertaken to determine differences in catchability due to vessel changes and associated modifications to the trawl gear with the retirement of the CCGS Alfred Needler and CCGS Teleost (called ‘old vessels’) and the introduction of the CCGS Capt. Jacques Cartier and CCGS John Cabot (called ‘new vessels’). During this period other set types are in the dataset (6 and 7) from paired tows and all station allocation may not have been stratified random. The DFO NL Region comparative fishing success varied by year, NAFO division, and vessel combinations and resulted in conversion factors to adjust the catches of Snow Crab in the old vessels time series into the same units as the new vessels. Methodologies and conversion factors are described in Wheeland et al. (2024), Trueman et al. (2025), Trueman et al. (2026), and Pantin et al. (in prep). Conversion factors have been applied to the numbers of Snow Crab caught, where conversion factors exist, and are in the converted_number column. An NA in the converted_number column indicates that conversion factors do not exist for this vessel/area combination and therefore direct comparisons cannot be made between old vessels and new vessels. Weights are those recorded at sea and do not have conversion factors applied. Analyses by the DFO NL Snow Crab group apply a length-weight relationship to the converted numbers to determine converted weights, which is not in this dataset. All reasonable attempts are made to standardize fishing time during trawl surveys, however there is always some variation in the actual time on bottom. The species weights and numbers in this dataset are not standardized for tow distance/duration. Spatial coverage of this survey has varied over time, therefore, not all divisions, or depths within divisions, are sampled every year or season. Biological measurements are described in Pantin et al. (2025). Tows that caught zero Snow Crab are denoted in the dataset by a ‘number’ of 0.References:McCallum, B. R., and S. J. Walsh. 1996. Groundfish survey trawls used at the Northwest Atlantic Fisheries Centre, 1971-present. NAFO Sci. Coun. Studies, 29: 93-104.Pantin, J., D. Mullowney, K. Baker, K. Lefort, W. Coffey, F. Cyr, H. Munro, and Koen-Alonso, M. 2025. An Assessment of Newfoundland and Labrador Snow Crab (Chionoecetes opilio) in 2023. DFO. Can. Sci. Advis. Sec. Res. Doc. 2025/080. iv + 152 p.Pantin, J., Charmley, K., Mullowney, D., Baker, K., Lefort, K., Coyne, J., Munro, H., and Koen-Alonso, M. In prep. An Assessment of Newfoundland and Labrador Snow Crab (Chionoecetes opilio) in 2024. DFO Can. Sci. Advis. Sec. Res. Doc. year/nnn.Rideout, R.M., Wheeland, L., Perreault, A., Regular, P., Skanes, K., Simms, L., and Makrides, J. 2025. Canadian (Newfoundland and Labrador Region) Multi-Species Research vessel Bottom Trawl Survey Report for Surveys Conducted in 2024. NAFO SCR Doc. 25/028: 1-68.Trueman, S., Wheeland, L., Benoît, H., Munro, H., Nguyen, T., Novaczek, E., Skanes, K., and Yin, Y. 2025. Results of Comparative Fishing Between the CCGS Teleost and CCGS Alfred Needler with the CCGS John Cabot and CCGS Capt. Jacques Cartier in the Newfoundland and Labrador Region in 2021 and 2022. DFO Can. Sci. Advis. Sec. Res. Doc. 2025/021. v + 237 p. Trueman, S., Wheeland, L., Pantin, J., Baker, K., and Mullowney, D. 2026. On the relative catchability of Snow Crab in the Newfoundland and Labrador Multispecies trawl surveys. DFO Can. Sci. Advis. Sec. Res. Doc. 2026/008. iv + 41 p. Wheeland, L., Skanes, K. and Trueman, S. 2024. Summary of Comparative Fishing Data Collected in Newfoundland & Labrador from 2021-2022. Can. Tech. Rep. Fish. Aquat. Sci. 3579: iv + 132 p.
Manitoba Rabies Surveillance Data Table
Table of animal samples requested for rabies testing in Manitoba since the province took over the rabies program on April 1, 2014.This table contains information on animal samples requested for rabies testing in Manitoba since the province took over the rabies program on April 1, 2014. As of that date, the Canadian Food Inspection Agency (CFIA) is no longer involved with managing rabies cases in Manitoba. The provincial Rabies Management Program is now coordinated by Manitoba Rabies Central, which is a collaborative effort involving the Manitoba departments of Health, and Environment, Climate and Parks. Samples for rabies testing are requested by Manitoba Health in cases of human exposure to a suspected rabid animal, and by Agriculture in the case of animal exposure to another suspect rabid animal. Collection of a sample from the suspect rabid animal is coordinated by Agriculture. This information will be updated on a quarterly basis. This data is used in the Manitoba Rabies Surveillance Dashboard. Fields included (Alias (Field Name): Field Description.) Region (Region): Regional health authority where the affected person or animal was exposed Fiscal Year (Fiscal_Year): Government of Manitoba fiscal year (April 1-March 31) when the rabies testing was requested Date (Date): Date when the sample for rabies testing was requested Year (Year): Calendar year (January 1-December 31) when the sample for rabies testing was requested Species (Species): Animal species of the sample requested for rabies testing Result (Result): Laboratory result of the sample tested for rabies.
Habitat associations of juvenile American lobster in three nearshore areas of Newfoundland
This project was completed by the Productive Capacity group (Coastal and Freshwater Ecology Section) in the Newfoundland and Labrador Science Branch of Fisheries and Oceans Canada (DFO). American lobster (Homarus americanus) is a commercially important decapod crustacean species along the east coast of North America, ranging from the Labrador coast south to Cape Hatteras. Juvenile lobster < 40 mm CL (carapace length) recruitment has been studied extensively in the southern portions of their range. However, investigations of settlement habitat association and recruitment of juvenile lobster in the northern extremes along the Newfoundland coast have been largely unsuccessful. We investigated juvenile lobster density, habitat, and depth associations in three areas of Newfoundland, using scuba – Port Saunders area, 8 dives conducted 28 September - 2 October 2017, and Burin Peninsula 10 dives (7 Placentia Bay, 3 Fortune Bay) conducted 30 September - 4 October 2018 over a total seabed area of 9,138 m2, within 200 meters of shore. Port Saunders and Fortune Bay had relatively higher lobster density (0.09 and 0.40 m-2, respectively); >65% were juveniles, in contrast to Placentia Bay where lobster densities of all size groups were low (mean 0.01 m-2) and no juvenile lobsters were observed at all. Where observed all juvenile lobster were significantly associated with shallow (<6 m) habitat and showed no overlap with distribution of adults (>82.5 mm CL) which we observed at depths 6 to 17 m. Our sites were dominated by varying mixes of cobble and pebble (77%); rock/bedrock (12%) and mud/sand/small pebble (11%) substrates interspersed with overlying kelp (32%) and eelgrass (11%) vegetation. We observed no significant associations with substrate or vegetation. This record contains the geographic locations of the 7 Placentia Bay sites surveyed, and information on the timing and type of data collected at each site, which was one component supported by Coastal Environmental Baseline Program of a larger collaborative project.
Sightings, Strandings, and Entrapment Data For Sea Turtles in Newfoundland and Labrador, Canada
The data in this dataset represent an amalgamation of sea turtle sighting, stranding, and entrapment events, mainly near Newfoundland and Labrador (NL), Canada.This document summarises the detection events data for Leatherback (Dermochelys coriacea), Loggerhead (Caretta caretta), and Green (Chelonia mydas) Turtles that has been collected from opportunistic and systematic survey sources, plus stranding and entrapment records, in the waters of NL from 1946 to 2023. To a much lesser extent there are also detection records for the southern Gulf of St. Lawrence. Scotian Shelf, and northeastern U.S. waters.These detection records are mostly derived from opportunistic reports, so there are rarely data for a report that includes measures of the observer effort expended to make the detection, and rarely associated imagery. During DFO aerial surveys there are measures of effort in most cases, enabling the turtle sightings reports to be used in habitat modelling (e.g., Mosnier et al. 2018).Most of the information variables (such as “Date”, “Latitude”, “Longitude”, “Number of Animals”) have been obtained from the detection report. In some cases data for variables such as “Location Reliability”, “ID Reliability”, “Platform”, and “Strand or Entrapment Outcome” were derived from interpretation of the comments associated with the report, if available. For description of the variables in the dataset see the Data Dictionary.References:Mosnier, A., Gosselin, J.-F., Lawson, J., Plourde, S., and Lesage, V. 2018. Predicting seasonal occurrence of leatherback turtles (Dermochelys coriacea) in eastern Canadian waters from turtle and sunfish (Mola mola) sighting data and habitat characteristics. Can. J. Zool. 97: 464-478. https://doi.org/10.1139/cjz-2018-0167
Manitoba Highway Inventory 2017
An accurate depiction of road structure construction history of the Highway Network in Manitoba.Manitoba Infrastructure --> Highway Engineering--> Highway Planning and Design (HPD) manages the Highway Inventory System (HIS). This system tracks road structure and construction history of Manitoba's Road Network. Published annually, this layer aids provincial engineers in planning and managing construction projects, both present and future. The department’s linear referencing system (LRS) uses control sections as a linear referencing method (LRM). These control section are further divided into subsections. It is on these subsections that road structure and construction history are tracked in the highway inventory system database. Please note that this feature layer primarily contains only the roads Manitoba Infrastructure is responsible for, i.e. Provincial Trunk Highways, Provincial Roads and Access Roads. It does not include municipal mile or grid roads. However, you may also see Earth Roads (under construction) or Other roads (such as those passing through national parks and are federal responsibility). A newer version of this data is available: Manitoba Highway Inventory 2018. Field List - FIELD NAME (Field Alias (i.e. display name)) in parenthesis) OBJECTID (OBJECTID) - Sequential, unique whole numbers are automatically generated.SHAPE (SHAPE) - A field to hold geometry information. ID (ID) - Oracle's unique identifierCS_ID (Control Section ID) - Non unique identifier linking segment to its respective control section. For example, a control section may have numerous geometry segments and each will have the same CS_ID.CS_KEY (Control Section Key) - An information rich key containing Region (two digits), Road Number (three digits), Section number (three digits), the Road Type (one character), and direction of travel (one character). SS_ID (Subsection ID) - Control Sections are further divided into Subsections. This is the subsection ID field.REGION_NO (MI Region) - The Manitoba Infrastructure region the segment is in Regions 1-5.ROAD_NO (Road Number) - The road number. Note co-routes will have the lesser highway number. SECTION_NO (Section Number) - The section number from the CS_KEY.ROAD_TYPE (Road Type) - H = Highway, E = Earth Road, and O= 'Other" road (such as through a national park because the road is not a responsibility of MI.) ROAD_DIRECTION (Road Direction) - A = ahead direction on a divided highway (i.e. following the digitizing direction), B = Back direction on a divided highway (i.e. against the digitizing direction, and U= an undivided highway.START_KM (Start Kilometre (KM)) - Start KM, is the start of the sub section within a control Section. This is part of the linear referencing method used for dynamic segmentation.END_KM (End Kilometre (KM)) - End KM is the end of the sub section within a Control Section. This is part of the linear referencing method used for dynamic segmentation.LENGTH_KM (Length (KM)) - End Kilometre minus the Start Kilometre.SECTION_DESC (Subsection Description) - A text description of where the subsection starts and ends. ROAD_TYPE_DESC (Road Type Description) - An unabbreviated version of Road Type above.ROAD_DIRECTION_DESC (Road Direction Description) - An unabbreviated version of Road Direction above.FUNCTIONAL_CLASS (Functional Class) - Functional Class: Expressway, Primary Arterial, Secondary Arterial and CollectorDIVIDED_STATUS (Divided Status) - Highway is divided or undivided. LANES (Number of Lanes) - The number of lanes the road has. MEDIAN_TYPE (Median Type) - Type of median: Raised Median, Depressed Median, Flush Median, Barrier and No Median.MEDIAN_WIDTH (Median Width (m)) - The width of the median, in metres.ROW_WIDTH (Row Width (m)) - The total width of the right-of-way in metres.SUBGRADE_WIDTH (Subgrade Width (m)) - The width of the earth embankment in metres. REGRADE_YEAR (Re-grade Year) - The year the road was last regraded.REGRADE_DESCRIPTION (Re-grade Description) - Description of what re-grading was done.OUTSIDE_SHLDR_TYPE (Outside Shoulder Type) - Type of outside shoulder: AST, Curbed, Fully Paved, Gravel, No Shoulders and N/A.OUTSIDE_SHLDR_WIDTH (Outside Shoulder Width (m)) - The width of the outside shoulder in metres.OUTSIDE_PAVED_WIDTH (Outside Paved Width (m)) - The width of the paved surface of the outside shoulder in metres.INSIDE_SHLDR_TYPE (Inside Shoulder Type) - Type of inside shoulder: Curbed, Fully Paved, Gravel, No Shoulders and N/A.INSIDE_SHLDR_WIDTH (Inside Shoulder Width (m)) - The width of the inside shoulder in metres.INSIDE_PAVED_WIDTH (Inside Paved Width (m)) - The width of the paved surface of the inside shoulder in metres.SURFACE_TYPE (Surface Type) - The type of surfacing on the road: A Base, AST, Bituminous (Bpm), Bituminous B, Bituminous C, C Base, Concrete, Granular, Reclaimed Asphalt Pavement and Road MixSURFACE_WIDTH (Surface Width (m)) - The surface width is the width of the driving lanes.SURFACE_DEPTH (Surface Depth (mm)) - Thickness of the surface layer (mm).SURFACE_YEAR (Surface Year) - The year the surface was constructed.BASE_1 (Base Layer 1) - 1st subsurface layer. 1 = present, 0 = not presentBASE_1_TYPE (Base Layer 1 Type) - Material type of 1st subsurface layer of the road structure.BASE_1_DEPTH (Base Layer 1 Depth (mm)) - Thickness of 1st subsurface layer of road structure in mm.BASE_1_YEAR (Base Layer 1 Year) - Year materials placed or modified for 1st subsurface layer.BASE_2 (Base Layer 2) - 2nd subsurface layer. 2 = present, 0 = not presentBASE_2_TYPE (Base Layer 2 Type) - Material type of 2nd subsurface layer of road structure.BASE_2_DEPTH (Base Layer 2 Depth (mm)) - Thickness of 2nd subsurface layer of road structure in mm.BASE_2_YEAR (Base Layer 2 Year) - Year materials placed or modified for 2nd subsurface layer.BASE_3 (Base Layer 3) - 3rd subsurface layer. 3 = present, 0 = not presentBASE_3_TYPE (Base Layer 3 Type) - Material type of 3rd subsurface layer of road structure.BASE_3_DEPTH (Base Layer 3 Depth (mm)) - Thickness of 3rd subsurface layer of road structure in mm.BASE_3_YEAR (Base Layer 3 Year) - Year materials placed or modified for 3rd subsurface layer.BASE_4 (Base Layer 4) - 4th subsurface layer. 4 = present, 0 = not presentBASE_4_TYPE (Base Layer 4 Type) - Material type of 4th subsurface layer of road structure.BASE_4_DEPTH (Base Layer 4 Depth (mm)) - Thickness of 4th subsurface layer of road structure in mm.BASE_4_YEAR (Base Layer 4 Year) - Year materials placed or modified for 4th subsurface layer.BASE_5 (Base Layer 5) - 5th subsurface layer. 5 = present, 0 = not presentBASE_5_TYPE (Base Layer 5 Type) - Material type of 5th subsurface layer of road structure.BASE_5_DEPTH (Base Layer 5 Depth (mm)) - Thickness of 5th subsurface layer of road structure in mm.BASE_5_YEAR (Base Layer 5 Year) - Year materials placed or modified for 5th subsurface layer.BASE_6 (Base Layer 6) - 6th subsurface layer. 6 = present, 0 = not presentBASE_6_TYPE (Base Layer 6 Type) - Material type of 6th subsurface layer of road structure.BASE_6_DEPTH (Base Layer 6 Depth (mm)) - Thickness of 6th subsurface layer of road structure in mm.BASE_6_YEAR (Base Layer 6 Year) - Year materials placed or modified for 6th subsurface layer.BASE_7 (Base Layer 7) - 7th subsurface layer. 7 = present, 0 = not presentBASE_7_TYPE (Base Layer 7 Type) - Material type of 7th subsurface layer of road structure.BASE_7_DEPTH (Base Layer 7 Depth (mm)) - Thickness of 7th subsurface layer of road structure in mm.BASE_7_YEAR (Base Layer 7 Year) - Year materials placed or modified for 7th subsurface layer.<TERRAIN_TYPE (Terrain Type) - General terrain conditions: Flat, Rolling and Rugged.CONSTRUCTION_STATUS (Construction Status) - Construction completed or carried over.UPDATED_YYYYMMDD (Updated Date) - Date the record was updated.SHAPE_Length (Length) - Segment length, automatically generated by ArcGIS.
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