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Welcome to the Ski Resorts and Snow Coverage dataset! This comprehensive dataset provides information on the locations of ski resorts around the world and the snow coverage they receive throughout the winter season. Whether you're a ski enthusiast looking for the best slopes to hit or a researcher studying climate patterns, this dataset has valuable information that can help you achieve your goals.
The dataset contains detailed information on the latitude and longitude of each ski resort, as well as the elevation, average snowfall, and snow depth measurements for each resort. This information can be used to compare and contrast different ski resorts, analyze weather patterns and trends, and make informed decisions about where to plan your next winter vacation.
In addition to the data on ski resorts and snow coverage, the dataset also includes information on nearby amenities such as restaurants, hotels, and transportation options. This information can help you plan a complete winter vacation, taking into account not only the quality of the skiing but also the availability of other activities and services.
Whether you're a ski enthusiast, a travel planner, or a researcher, the Ski Resorts and Snow Coverage dataset provides a wealth of valuable information that can help you make informed decisions and gain insights into the world of winter sports.
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A dataset of ski resorts associated with the Epic and Ikon ski passes for the 2024-2025 season. Note that this includes Epic and Ikon resorts as well as partner resorts (e.g., resorts offering limited days access). The dataset includes key information about the resorts, such as their geographical location, skiable acres, elevation, trail count, average snowfall, and historical opening and closing dates. This data provides an overview of the ski season performance and features of these resorts. It's intended for analysis, research, and educational purposes, especially for ski enthusiasts, industry analysts, or travelers planning their next trip.
Epic and Ikon are two of the most prominent ski passes in North America, offering access to a large network of ski resorts worldwide. The Epic Pass, managed by Vail Resorts, and the Ikon Pass, managed by Alterra Mountain Company, allow skiers and snowboarders to explore resorts across multiple countries with a single pass. For more information, visit the official pages for Epic Pass and Ikon Pass.
| Column | Description |
|---|---|
| ski_resort_name | Name of ski resort |
| 2024-2025_pass | Indicates whether the resort is part of the Epic or Ikon pass system for the 2024-2025 season |
| state_or_province | The U.S. state or country province where the resort is located |
| state_or_province_abbreviation | The official abbreviation of the U.S. state or country province |
| country | The country where the resort is located |
| skiable_acres | The total skiable acres available at the resort |
| base_elevation_ft | The base elevation of the resort in feet |
| top_elevation_ft | The top elevation of the resort in feet |
| vertical_ft | The vertical drop at the resort - this is a derived column as the difference between top and base elevation, in feet. |
| trails | The total number of trails available at the resort |
| historical_average_snowfall_inches | The average annual snowfall in inches based on historical data, largely sourced from onthesnow.com and their data |
| historical_average_snowfall_days | The average number of days with snowfall per season based on historical data, largely sourced from onthesnow.com and their data |
| 2021-2022_opening_day | The resort’s opening day for the 2021-2022 season |
| 2021-2022_closing_day | The resort’s closing day for the 2021-2022 season |
| 2022-2023_opening_day | The resort’s opening day for the 2022-2023 season |
| **2022-2023_closing_day... |
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## Overview
Alpine Skiing is a dataset for object detection tasks - it contains Ski annotations for 205 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
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A comprehensive dataset containing crowdsourced rankings of nearly all ski resorts worldwide. The dataset includes detailed information on each resort, such as location, snowfall, number of lifts and slopes, total slope length, and vertical drop. The dataset is updated regularly as more votes are collected.
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TwitterA total of ***** million U.S. Americans went skiing in 2024, which represented a slight increase over the previous year's figure of ***** million. Out of 2024's total, approximately *** million went cross-country skiing specifically, up from *** million in 2023.
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## Overview
Skiing is a dataset for object detection tasks - it contains Person annotations for 206 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
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Alpine skiing audience profile for United States.
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This is a video dataset of a man skiing (mogul skiing). [Details] Category: Video / Subjects: Two Japanese male skiers in their 20s / Format: mp4 [Notes] [Shooting Time] 14 minutes 23 seconds
[Shooting Environment] Outdoors (ski resort)
[Shooting Distance/Angle] Simultaneous shooting from two angles
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This is a video dataset of men and women skiing (giant slalom). [Details] Category: Video / Subjects: Two Japanese skiers in their 20s, a man and a woman / Format: mp4 [Notes] [Shooting Time] 13 minutes 39 seconds
[Shooting Environment] Outdoors (ski resort)
[Shooting Distance/Angle] Simultaneous shooting from two angles
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training
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TwitterData on 500 ski resorts around the world, including details on their location, prices, slopes, lifts, and seasons, as well as a complementary table with the snow cover around the world for each month of 2022.
ID: Unique identifier for each resort
Resort: Name of the ski & snowboard resort
Latitude: Latitude for the resort's location
Longitude: Longitude for the resort's location
Country: Country in which the resort is located
Continent: Continent in which the resort is located
Price: Ski pass cost for 1 adult for 1 day in the main season (Euro - €)
Season: Normal start and end of the ski season at the resort (note that it allways will depend on the weather and snowfall)
Highest point: Highest mountain point at the resort (meters)
Lowest point: Lowest possible point to ski at the resort (meters)
Beginner slopes: Total length of "children", "blue", and "green" slopes at the resort (km)
Intermediate slopes: Total length of "red" slopes at the resort (km)
Difficult slopes: Total length of "black", "advanced", and "expert" slopes at the resort (km)
Total slopes: Total length of slopes at the resort (km)
Longest run: Longest possible continuous run at the ski resort (km)
Snow cannons: Total amount of snow cannons at the resort
Surface lifts: Total number of surface lifts, including T-bar, Sunkidslift, Rope lifts and people mover
Chair lifts: Total number of chair lifts
Gondola lifts: Total number of gondola lifts, including Gondola, Train lifts, Funicular, Combined gondola and chairlifts, Helicopter lifts, Snowcats and Aerial tramways
Total lifts: Total number of lifts
Lift capacity: Number of passengers the resort's lift system can move in an hour
Child friendly: Is the ski resort child friendly?
Snowparks: Does the resort have one or more snowparks?
Nightskiing: Does the resort offer skiing on illuminated slopes?
Summer skiing: Does the resort offer skiing during the summer?
Month: Date to represent the month of the year (not just the first day)
Latitude: Latitude at the center of the region (every "region" is 0.25x0.25 degrees in size)
Longitude: Longitude at the center of the region (every "region" is 0.25x0.25 degrees in size)
Snow: Percent of time the region was covered in snow during the month
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Indoor Ski Area Market Overview: Indoor Ski Area Market Overview: The Indoor Ski Area Market Size was valued at 3,360 USD Million in 2024. The Indoor Ski Area Market is expected to grow from 3,480 USD Million in 2025 to 5 USD Billion by 2035. The Indoor Ski Area Market CAGR (growth rate) is expected to be around 3.7% during the forecast period (2025 - 2035). Key Indoor Ski Area Market Trends Highlighted The Global Indoor Ski Area Market has been witnessing significant trends driven by the increasing popularity of winter sports among urban populations and the desire for unique leisure experiences. Factors contributing to this surge include the availability of year-round skiing options that cater to regions without natural snow, thereby broadening the accessibility of winter sports to a larger audience. Additionally, advancements in technology have enabled the development of more realistic indoor skiing environments, attracting more visitors and encouraging those who may not traditionally engage in skiing to experience the sport. There is also a growing emphasis on sustainability and eco-friendliness, with many indoor ski facilities incorporating energy-efficient systems and sustainable practices in their operations.Opportunities in the market can be explored through the integration of complementary activities such as snowboarding, snow tubing, and leisure amenities like restaurants and retail shops within the indoor ski areas. This diversification not only enhances customer experience but also maximizes revenue streams. Moreover, partnerships with local governments and tourism boards can lead to enhanced promotional efforts, drawing significant tourist numbers to these facilities. In recent times, trends show a shift towards creating more immersive and family-friendly environments within indoor ski areas. This evolution aligns with the growing demand for multi-generational leisure activities that cater to families seeking all-inclusive entertainment options.As global interest in winter sports continues to rise, the potential for new indoor ski locations in urban centers remains strong, highlighting the market's dynamic nature and adaptability to consumer preferences. Source: Primary Research, Secondary Research, WGR Database and Analyst Review Indoor Ski Area Market Segment Insights: Indoor Ski Area Market Regional Insights The Global Indoor Ski Area Market exhibits varied regional dynamics, with each segment reflecting distinct trends and growth potential. Europe holds a significant position in the market, valued at 1,400 USD Million in 2024 and projected to reach 2,000 USD Million in 2035, thus dominating the market landscape. This region benefits from a strong demand for winter sports and leisure activities, often drawing tourism from around the world. North America is another vital area of growth, showcasing a steady expansion, due to increasing interest in indoor skiing venues and facilities.The Asia-Pacific market (APAC) is witnessing a moderate increase, fueled by rising disposable incomes and a growing appetite for winter sports among the youth, while South America and the Middle East and Africa (MEA) regions reflect gradual growth, driven by tourism and leisure activities keen on winter sports experiences. These regional dynamics provide a nuanced understanding of the Global Indoor Ski Area Market segmentation. As leisure activities evolve and consumer preferences shift, the market is positioned well for growth opportunities ahead. Source: Primary Research, Secondary Research, WGR Database and Analyst Review • North America : The Indoor Ski Area Market in North America is driven by increasing urbanization and the rise of eco-tourism trends. The adoption of smart technologies, including AIoT for enhanced user experiences, is growing. Key policies like the Green New Deal aim to promote sustainable practices in entertainment sectors, encouraging investments. • Europe : Europe shows robust growth in the Indoor Ski Area Market, propelled by urban development and demand for year-round snow sports. Policies promoting carbon neutrality by 2050 drive investment in infrastructure. Adoption of electric vehicles enhances infrastructure sustainability, and smart surveillance is increasingly utilized for safety. • APAC : The APAC region exhibits rapid growth in the Indoor Ski Area Market, fueled by rising disposable incomes and interest in winter sports. The integration of smart manufacturing technologies is streamlining o
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TwitterSpace in which the location of the ski lifts and the configuration of the terrain allow the presence of skiers (and similar practices), even in the absence of slopes. This envelope corresponds to the snow-covered areas accessible to skiers from the top of the ski lifts of a ski area (within the meaning of Article R.122-4 of the Planning Code), and driving them naturally by gravity to the feet on a ski slope or a ski lift departure from the same ski area. It includes “off-piste” areas, but does not have any area unsuitable for skiing due to the difficulty of the terrain (rock bars, too steep slopes, avalanche equipment...), too dense afforestation, a ban regulations (to ensure the conservation of animal species...) or snow conditions too random. This envelope cannot be equated with the right-of-way of the alpine ski slopes or the contour of the ski area (within the meaning of Article R. 122-4 of the Urban Planning Code). It only allows us to have an approximation of it, in keeping with the principle that ski slopes must allow a ski lift to be used again in the same ski area. It proves useful in terms of graphical representation of the right-of-way of ski areas and on a practical level, to locate the construction of runways and snowmaking facilities located on a “virgin site” and “off-site” Virgin" (notions taken into account in the definition of new structuring tourist units).
All ski areas accessible from the resorts of Haute-Savoie are represented, served by at least 3 ski lifts authorised to operate.
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The size of the Skiing Facilities Market market was valued at USD 3.78 Million in 2023 and is projected to reach USD 5.09 Million by 2032, with an expected CAGR of 4.35% during the forecast period. Recent developments include: October 2023: Mountain Capital Partners (MCP) and Sandia Peak Ski Company have announced a joint venture agreement for the operation of Sandia Peak Ski Area, located near Albuquerque, New Mexico., April 2023: Mountain Capital Partners (MCP) Acquired Lee Canyon Ski Resort, located outside of Las Vegas, Nevada, from POWDR Corporation.. Key drivers for this market are: Demand for Winter Sports and Outdoor Recreation. Potential restraints include: Unpredictable Weather Conditions. Notable trends are: Increase in Ski Equipment and Supplies Stores.
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This is a video dataset of men and women skiing (giant slalom). [Details] Category: Image / Subjects: Two Japanese skiers in their 20s, a man and a woman / Format: jpeg [Notes] [Shooting Environment] Outdoors (ski resort)
[Shooting Distance/Angle] Simultaneous shooting from two angles
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Data accumulated from Consumers' Association surveys are designed to be used by the consumer. The surveys are, therefore, very specific in nature and the subjects covered diverse. The Data Archive holds 19 such surveys.
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According to our latest research, the cat skiing tourism market size reached USD 1.27 billion globally in 2024, reflecting a strong growth trajectory driven by increasing adventure tourism demand and enhanced accessibility to remote ski destinations. The market is projected to expand at a robust CAGR of 7.9% from 2025 to 2033, which would see it attain a value of approximately USD 2.54 billion by 2033. This growth is primarily fueled by evolving consumer preferences for unique, off-the-beaten-path winter experiences and the continuous development of specialized services catering to adventure seekers. As per our latest research, the combination of rising disposable incomes, improved marketing strategies, and technological advancements in booking and service delivery is significantly bolstering the global cat skiing tourism market.
One of the primary growth factors for the cat skiing tourism market is the increasing popularity of adventure tourism among millennials and Generation Z. These demographics are actively seeking adrenaline-pumping activities and are more willing to spend on unique travel experiences compared to previous generations. Cat skiing, which offers access to untouched powder and remote mountain terrains, aligns perfectly with this demand for exclusivity and thrill. The proliferation of social media platforms has further amplified this trend, as visually captivating content from cat skiing adventures inspires a wider audience to pursue similar experiences. Additionally, the growing emphasis on health, wellness, and outdoor activities post-pandemic has motivated more individuals to explore winter sports, driving up demand for cat skiing packages globally.
Technological advancements in booking platforms and service delivery are also playing a crucial role in market expansion. The integration of user-friendly online travel agencies and direct booking systems has simplified the reservation process for cat skiing tours, making these experiences more accessible to a global clientele. Enhanced digital marketing strategies, including targeted advertising and influencer partnerships, have increased visibility and awareness of cat skiing destinations. Furthermore, improvements in snowcat machinery and safety equipment have reduced operational risks, encouraging more operators to enter the market and expand their offerings. These innovations not only improve customer satisfaction but also streamline operations, leading to higher profitability for service providers.
Another significant contributor to market growth is the expansion of service offerings by cat skiing operators. Companies are increasingly bundling guided tours, equipment rentals, accommodation packages, and transportation services to provide comprehensive solutions for travelers. This all-inclusive approach caters to both novice and experienced skiers, ensuring a seamless and hassle-free experience from arrival to departure. The introduction of tailored packages for groups, corporate retreats, and luxury travelers has broadened the market’s appeal, attracting a diverse clientele. As a result, operators are witnessing higher booking rates and improved customer retention, further propelling the growth of the cat skiing tourism market.
From a regional perspective, North America continues to dominate the cat skiing tourism market, accounting for the largest share in 2024. The region benefits from a well-established winter sports culture, extensive mountain ranges, and a high concentration of premium ski resorts. Europe follows closely, driven by rising interest in alternative skiing experiences and the presence of renowned alpine destinations. The Asia Pacific region is emerging as a lucrative market, supported by increasing disposable incomes, growing adventure tourism, and government initiatives to promote winter sports. Latin America and the Middle East & Africa, while smaller in scale, are witnessing gradual growth as operators explore new terrains and cater to niche adventure travel segments. Overall, the global cat skiing tourism market is characterized by dynamic regional trends, with each area presenting unique opportunities and challenges for market participants.
The service type segment is a crucial driver in the cat skiing tourism market, reflecting the diverse needs and preferences of adventure travelers. Guided tours represent the backbone of this se
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Proportions male/female (Odds) and Odds ratios (OR) of more skilled/less skilled skiers with respect to perception of skiing speed.
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TwitterCross country skiing trips from 6-9 February, 2015 from Czechia, downloaded using the Garmin Connect (connect.garmin.com/explore) API. I used the category "cross country skiing" to retrieve a total of 150 gpx routes. The routes were converted from the .gpx format to a line shapefile (.shp). Each feature represents one trip with information about trip start time and trip end time. The projection of the shapefile is WGS1984.
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Welcome to the Ski Resorts and Snow Coverage dataset! This comprehensive dataset provides information on the locations of ski resorts around the world and the snow coverage they receive throughout the winter season. Whether you're a ski enthusiast looking for the best slopes to hit or a researcher studying climate patterns, this dataset has valuable information that can help you achieve your goals.
The dataset contains detailed information on the latitude and longitude of each ski resort, as well as the elevation, average snowfall, and snow depth measurements for each resort. This information can be used to compare and contrast different ski resorts, analyze weather patterns and trends, and make informed decisions about where to plan your next winter vacation.
In addition to the data on ski resorts and snow coverage, the dataset also includes information on nearby amenities such as restaurants, hotels, and transportation options. This information can help you plan a complete winter vacation, taking into account not only the quality of the skiing but also the availability of other activities and services.
Whether you're a ski enthusiast, a travel planner, or a researcher, the Ski Resorts and Snow Coverage dataset provides a wealth of valuable information that can help you make informed decisions and gain insights into the world of winter sports.