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We have found 63 datasets for the keyword "ski alpin". You can continue exploring the search results in the list below.
Datasets: 103,401
Contributors: 42
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63 Datasets, Page 1 of 7
Ski Resorts
Ski Resorts is a point dataset identifying the location of ski resorts in British Columbia.
Nature, sports and outdoor activities - Quebec Tourism Information System (SIT Québec)
This dataset includes various offers related to nature and outdoor sports. Among other things, there are national and regional parks, wildlife reserves, equestrian centers, equestrian centers, marinas, skating rinks, beaches, downhill ski centers, cross-country ski centers, golf courses, ice fishing centers.Please note that this dataset is an overview of the tourist offer in Quebec and is not intended to identify the entire offer. This data comes from the Quebec Tourism Information System (SIT Quebec).In addition, if your interest lies in obtaining official indicators and statistics on the Quebec tourism industry, we invite you to explore the Tourism Studies and Statistics section of the Québec.ca site at the following link: https://www.quebec.ca/tourisme-et-loisirs/services-industrie-touristique/etudes-statistiques.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Winter activities - Ville de Shawinigan
Point layer of winter activities proposed in the Recreation brochure, on the territory of the city of Shawinigan.! [Shawinigan logo] (https://jmap.shawinigan.ca/doc/photos/LogoShawinigan.jpg)**Collection method** Scanning from orthophotography**Attributes*** `objective` (`OID`): * `place` (`String`): Location* `services` (`String`): Services* `fee` (`String`): Fresh* `infos_sup` (`String`): Additional information* `url` (`String`): URL* `tel` (`String`): Phone* `address` (`String`): Address* `photo` (`String`): Picture* `velo` (`String`): Bicycle* `ski_alpin` (`String`): Alpine skiing* `racquets` (`String`): Rackets* `ski_fond` (`String`): Cross-country skiing* `Slide` (`String`): Slides* `curling` (`String`): Curling* `Luge` (`String`): Sledge* `trail_icer` (`String`): Ice trail* `scooter` (`String`): Scooter* `skating rink` (`String`): Skating rink* `canin` (`String`): Dog park* `Walk` (`String`): MarketFor 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).**
Manitoba Parks - Winter Recreation Trails
Polyline feature layer of winter trails in Manitoba provincial parks.This feature layer contains polylines showing locations of winter trails in Manitoba provincial parks. Winter trails are those trails designated for certain winter activities, such as cross-country skiing, skijoring, skate-skiing, fat biking, and dog sledding. Most of these trails are groomed by Manitoba Parks staff throughout the season. This layer is used in the interactive map Manitoba Parks - Winter Activity Trails Map and the web app Manitoba Parks - Winter Trails and Recreation Areas. The dataset includes the following fields (Alias (Name): Description) Trail Name (Trail_Name): Name of the trail Park Name (Park_Name): Name of the provincial park where the trail is located Winter Use (Winter_Use): Indicates whether or not the trail is designated for winter use (Note: All features in this layer have a value of 'Yes') For more information about winter activities, visit the Manitoba Parks website.
Manitoba Parks - Winter Trails and Recreation Areas
Point feature layer showing the locations of winter trail and recreation areas in Manitoba's provincial parks.Point feature layer showing the locations of winter trail and recreation areas in Manitoba's provincial parks. This layer is utilized in the interactive map Manitoba Parks - Winter Activity Trails Map and the web app Manitoba Parks - Winter Trails and Recreation Areas. The dataset includes the following fields (Alias (Name): Description) Park (Park): Name of the provincial park where the trail or recreation area is located Feature (Feature): Name of the trail or recreation area Activity (Activity): Contains a list of activities designated for the trail Length (Length): Length of the trail in kilometres Groom Date (Groom_Date): Date of the most recent grooming of the trail Rating (Rating): An overall rating of the trail or recreation area given the current conditions. (e.g., Excellent, Good, Fair, Poor, Closed, or Unknown) Trail Condition (Trail_Condition): This field contains a description of the current conditions of the trail or recreation area Additional Remarks (Additional_Remarks): Contains any other related information about the trail or recreation area PDF Link (PDF_Link): Contains a url link to a pdf map or website Ski (Ski): Indicates whether the activity is allowed and provides a way to filter the map features Skijor (Skijor): Indicates whether the activity is allowed and provides a way to filter the map features Walk (Walk): Indicates whether the activity is allowed and provides a way to filter the map features Skate Ski (Skate_Ski): Indicates whether the activity is allowed and provides a way to filter the map features Snowshoe (Snowshoe): Indicates whether the activity is allowed and provides a way to filter the map features Toboggan (Toboggan): Indicates whether the activity is allowed and provides a way to filter the map features Dog Sled (Dog_Sled): Indicates whether the activity is allowed and provides a way to filter the map features For more information about winter activities, visit the Manitoba Parks website.
Wilderness tourism activities
This dataset identifies locations of wilderness and recreation tourism activities. Activities are: fishing, biking, hiking, snowmobiling, rafting, boating, flight seeing, dog mushing, driving tour, off-road vehicle, cross country skiing, canoeing, wildlife viewing. The locations were collected through interviews. Locations and areas were indicated on paper maps and transferred to digital. This is not a complete or up to date dataset. Data was collected in 2009.Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)
Caribou Habitat Model for the Western Cariboo Region (2001)
Summer, Winter Alpine, and Winter Forest-Dwelling habitat model for caribou in the Itcha, Ilgachuz, and Rainbow Mountains of West-Central BC. This habitat model was developed using telemetry from the Itcha-Ilgachuz, Rainbow, and Charlotte Alplands Herds. [Season] field should be used to split the data out into separate summer, winter alpine, and winter forest-dwelling habitat models. Model development is detailed in _Apps, C. D., T. A. Kinley, and J. A. Young. 2001. Multi-scale habitat modeling for woodland caribou in the Itcha, Ilgachuz, and Rainbow mountains of west-central British Columbia.Wildlife Section, Ministry of Water, Land and Air Protection, Williams Lake, British Columbia, Canada_. See also: https://catalogue.data.gov.bc.ca/dataset/caribou-habitat-model-for-the-western-cariboo-region-2017-. __Note: The 2017 habitat model covers a similar area, but does not supersede the 2001 habitat model.__
Snow Crab Collaborative Post-season Trap Survey
This project was completed by the Shellfish Section in the Newfoundland and Labrador Science Branch of Fisheries and Oceans Canada (DFO), in collaboration with industry partners. The Coastal Environmental Baseline program supported the Placentia Bay portion of project work for an ongoing industry-DFO collaborative post-season trap survey for Snow Crab that was initiated in 2003 and has occurred each year. This survey is conducted by Snow Crab harvesters accompanied by at-sea observers and takes place in NAFO Divisions 2J3KLNOP4R. Historically the survey focused on commercial fishing grounds but began transitioning to a partly random stratified design in 2017. Since 2018, approximately 50% of survey stations are randomly allocated while 50% remain fixed. At each station, six (for inshore stations) or ten (for offshore stations) commercial traps are set in a fleet. To gather data on non-commercial sized Snow Crab, including females, many fleets also include one small-mesh trap. The coverage of small-mesh traps has been expanding in recent years with the aim of one small-mesh trap for every station in the coming years. Biological sampling is undertaken on at least one commercial trap and the small-mesh trap at each station. The data from this survey is incorporated into the annual stock assessment for Snow Crab in the Newfoundland and Labrador region. This record contains trap locations for Placentia Bay, and information on the types of data collected. More detailed information can be found in Pantin et al. (2022).https://publications.gc.ca/collections/collection_2023/mpo-dfo/fs70-5/Fs70-5-2022-076-eng.pdf
Annual 30 m snow dynamics (2018-2019 to 2023-2024) – Canada
This catalog contains annual 30 m spatial resolution snow dynamics metrics for each snow-year from 2018-2019 to 2023-2024 for all of Canada. We gather all Landsat and Sentinel-2 images collected over Canada and identify the status of each pixel observation on the image collection date: snow (and ice), non-snow (i.e., land, water), unclear (i.e., clouds, shadows). We built an algorithm to calculate snow cover metrics for each pixel during each winter: start date of the first (and biggest) snow period [startF, startB], end date of the last (and biggest) snow period [endL, endB], number of days with snow cover in total (or in the biggest snow period) [lengthT, lengthB], number of snow periods (i.e., separated times with multiple confirmed snow observations) [periods], and a status classification (e.g., continuous snow, snow free) [status]. We do not obtain a clear observation every day because of satellite orbit frequencies and clouds. This means that timing-based metrics are identified by the middle date between two clear observations, with uncertainty quantified as half the length of the gap (i.e., ± days) [startF_u, startB_u, endL_u, endB_u, lengthT_u, lengthB_u].
Biodiversity of the snow crab trawl survey on the Lower North Shore of the Gulf of St. Lawrence (2018)
A research survey on snow crab (Chionoecetes opilio) was conducted from July 1 to July 17, 2018 on the Lower North Shore of the Gulf of St. Lawrence between Havre-Saint-Pierre and Blanc-Sablon. The main objective of this survey was to assess the abundance of snow crab and benthic species associated with snow crab habitat. Only data for benthic species associated with snow crab habitat are presented in this dataset.Data were collected according to a fixed station sampling design consisting of 61 stations, between 46 and 230 meters depth. Specimens were collected using a beam trawl with a total width of 2.8 meters and a total height of 0.76 meters. The codend was lined with a 16 millimeter stretched mesh net in order to harvest the small individuals. The hauls were made at a target speed of 2 knots and a target duration of 10 minutes depending on seabed conditions. Start and end positions were recorded to calculate the distance traveled on each tow using the geosphere library in R. The average tow distance was approximately 25 m. The area covered at each tow was the product of the trawl opening and the distance traveled.The two files provided (DarwinCore format) are complementary and are linked by the "eventID" key. The "Activity_Information" file includes generic activity information, including date and location. The "occurrence_taxon" file includes the taxonomy of the species observed, identified to the species or lowest possible taxonomic level. To obtain the abundance and biomass assessment, contact Cedric Juillet (cedric.juillet@dfo-mpo.gc.ca).For quality controls, all taxonomic names were checked against the World Register of Marine Species (WoRMS) to match recognized standards. The WoRMS match was placed in the "ScientificIDname" field of the occurrence file. Special cases were noted in the "commentsIdentification" field and selected specimens were confirmed with field photos. Data quality checks were performed using the R obistools and Worms libraries. All sampling locations were spatially validated.
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