100+ datasets found
  1. Data from: Ski Resorts

    • kaggle.com
    zip
    Updated Mar 23, 2023
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    Ulrik Thyge Pedersen (2023). Ski Resorts [Dataset]. https://www.kaggle.com/datasets/ulrikthygepedersen/ski-resorts
    Explore at:
    zip(2922928 bytes)Available download formats
    Dataset updated
    Mar 23, 2023
    Authors
    Ulrik Thyge Pedersen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  2. Epic and Ikon Ski Resorts Dataset

    • kaggle.com
    zip
    Updated Oct 28, 2024
    + more versions
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    Rummage Labs (2024). Epic and Ikon Ski Resorts Dataset [Dataset]. https://www.kaggle.com/datasets/rummagelabs/ikon-and-epic-resorts-season-statistics
    Explore at:
    zip(7120 bytes)Available download formats
    Dataset updated
    Oct 28, 2024
    Authors
    Rummage Labs
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Epic and Ikon Ski Resorts 2024-2025 Dataset

    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.

    About Epic and Ikon Ski Passes

    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.

    Dataset Information

    • Source: This dataset compiles information from public resources, including official ski resort websites, official ski resort social media (for opening/closing dates), Epic Pass and Ikon Pass websites, Wikipedia, OnTheSnow, SnowPak, and other public sources. Cells are each derived from one or more sources and then selected/verified. Some quantitative columns (e.g., vertical_ft, ski_season_length_days) are derived from other columns within the dataset.
    • Purpose: This dataset is intended for analysis, research, and educational use, such as exploring trends in ski resort operations, snowfall patterns, and season lengths.
    • Accuracy: While the dataset has been created with a focus on precision, there may be variations in specific resort data. For critical use, cross-checking with official resort websites is recommended.
    • Notes: Southern Hemisphere seasons are assigned to the season ending year (e.g., Jun-Aug 2024 Southern Hemisphere season is assigned to 2023-2024 ski season)

    Data Structure

    Dataset Columns

    ColumnDescription
    ski_resort_nameName of ski resort
    2024-2025_passIndicates whether the resort is part of the Epic or Ikon pass system for the 2024-2025 season
    state_or_provinceThe U.S. state or country province where the resort is located
    state_or_province_abbreviationThe official abbreviation of the U.S. state or country province
    countryThe country where the resort is located
    skiable_acresThe total skiable acres available at the resort
    base_elevation_ftThe base elevation of the resort in feet
    top_elevation_ftThe top elevation of the resort in feet
    vertical_ftThe vertical drop at the resort - this is a derived column as the difference between top and base elevation, in feet.
    trailsThe total number of trails available at the resort
    historical_average_snowfall_inchesThe average annual snowfall in inches based on historical data, largely sourced from onthesnow.com and their data
    historical_average_snowfall_daysThe average number of days with snowfall per season based on historical data, largely sourced from onthesnow.com and their data
    2021-2022_opening_dayThe resort’s opening day for the 2021-2022 season
    2021-2022_closing_dayThe resort’s closing day for the 2021-2022 season
    2022-2023_opening_dayThe resort’s opening day for the 2022-2023 season
    **2022-2023_closing_day...
  3. R

    Skiing Dataset

    • universe.roboflow.com
    zip
    Updated Sep 7, 2022
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    강호균 (2022). Skiing Dataset [Dataset]. https://universe.roboflow.com/-mj1ln/skiing/dataset/1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Sep 7, 2022
    Dataset authored and provided by
    강호균
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Helmet Bounding Boxes
    Description

    Here are a few use cases for this project:

    1. Safety Monitoring: This model could be used in ski resorts for real-time monitoring of skiers, enabling authorities to enforce helmet rules and reduce the risk of injury.

    2. Sport Event Analysis: During professional ski competitions, this model might provide real-time analysis, identifying which competitors are wearing helmets and potentially categorizing them based on the type or color of their helmets.

    3. Development of Smart Cameras: Integrating this model into smart cameras could enable them to automatically identify and focus on skiers with helmets, useful for specific filming or photography needs.

    4. Insurance Investigations: Insurance companies might use this model to enhance their investigation process for winter sport accidents and determine if claimants were following safety protocols like wearing a helmet.

    5. AI Ski Coaching: This model can be incorporated into an AI-based ski coaching system in which the model identifies if the trainee is wearing a helmet or not, providing real-time feedback, enhancing safety, and providing an all-around learning experience.

  4. Q

    Skiing (moguls) video dataset

    • qleandataset.visual-bank.co.jp
    Updated Oct 11, 2025
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    Visual Bank Inc. (2025). Skiing (moguls) video dataset [Dataset]. https://qleandataset.visual-bank.co.jp/en/lineup/ds-037
    Explore at:
    Dataset updated
    Oct 11, 2025
    Dataset authored and provided by
    Visual Bank Inc.
    License

    https://qleandataset.visual-bank.co.jp/en/contacthttps://qleandataset.visual-bank.co.jp/en/contact

    Measurement technique
    mp4
    Description

    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

  5. R

    Alpine Skiing Dataset

    • universe.roboflow.com
    zip
    Updated Jun 11, 2023
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    (2023). Alpine Skiing Dataset [Dataset]. https://universe.roboflow.com/project-gjxnt/alpine-skiing/model/1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jun 11, 2023
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Ski Bounding Boxes
    Description

    Alpine Skiing

    ## 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).
    
  6. Q

    Skiing (Moguls) Image Dataset

    • qleandataset.visual-bank.co.jp
    Updated Oct 23, 2025
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    Visual Bank Inc. (2025). Skiing (Moguls) Image Dataset [Dataset]. https://qleandataset.visual-bank.co.jp/en/lineup/ds-038
    Explore at:
    Dataset updated
    Oct 23, 2025
    Dataset authored and provided by
    Visual Bank Inc.
    License

    https://qleandataset.visual-bank.co.jp/en/contacthttps://qleandataset.visual-bank.co.jp/en/contact

    Measurement technique
    jpeg
    Description

    This is an image dataset of a man skiing (mogul skiing). [Details] Category: Image / Subjects: Two Japanese male skiers in their 20s / Format: jpeg [Notes] [Shooting Environment] Outdoors (ski resort)
    [Shooting Distance/Angle] Simultaneous shooting from two angles

  7. Q

    Skiing (Giant Slalom) video dataset

    • qleandataset.visual-bank.co.jp
    Updated Oct 11, 2025
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    Visual Bank Inc. (2025). Skiing (Giant Slalom) video dataset [Dataset]. https://qleandataset.visual-bank.co.jp/en/lineup/ds-035
    Explore at:
    Dataset updated
    Oct 11, 2025
    Dataset authored and provided by
    Visual Bank Inc.
    License

    https://qleandataset.visual-bank.co.jp/en/contacthttps://qleandataset.visual-bank.co.jp/en/contact

    Measurement technique
    mp4
    Description

    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

  8. Skiing participation in the U.S. 2010-2024

    • statista.com
    Updated Nov 26, 2025
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    Statista (2025). Skiing participation in the U.S. 2010-2024 [Dataset]. https://www.statista.com/statistics/191312/participants-in-skiing-in-the-us-since-2007/
    Explore at:
    Dataset updated
    Nov 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    A 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.

  9. R

    Skiing Dataset

    • universe.roboflow.com
    zip
    Updated Feb 1, 2026
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    xrizs (2026). Skiing Dataset [Dataset]. https://universe.roboflow.com/xrizs-34ery/skiing-9jvoe/model/1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Feb 1, 2026
    Dataset authored and provided by
    xrizs
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Person Bounding Boxes
    Description

    Skiing

    ## 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).
    
  10. Ski Resort

    • kaggle.com
    zip
    Updated Jul 22, 2024
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    Farheenshaukat (2024). Ski Resort [Dataset]. https://www.kaggle.com/datasets/farheenshaukat/ski-resort/code
    Explore at:
    zip(2922928 bytes)Available download formats
    Dataset updated
    Jul 22, 2024
    Authors
    Farheenshaukat
    Description

    Data 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.

    This file resorts contain the columns:

    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?

    The file snow contain data:

    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

  11. o

    Global Ski Resort Rankings Dataset

    • openicpsr.org
    • data.mendeley.com
    delimited
    Updated Sep 5, 2024
    + more versions
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    Teddie Tank (2024). Global Ski Resort Rankings Dataset [Dataset]. http://doi.org/10.3886/E208941V3
    Explore at:
    delimitedAvailable download formats
    Dataset updated
    Sep 5, 2024
    Dataset provided by
    SU
    Authors
    Teddie Tank
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2024 - Jan 1, 2027
    Description

    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.https://rank-tank.com/ski-resorts Ski Resorts Ranking

  12. FIS: number of broadcasts of the Cross-Country Ski World Cup 2020/2021, by...

    • statista.com
    Updated Sep 11, 2021
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    Statista Research Department (2021). FIS: number of broadcasts of the Cross-Country Ski World Cup 2020/2021, by country [Dataset]. https://www.statista.com/topics/3922/skiing-in-europe/
    Explore at:
    Dataset updated
    Sep 11, 2021
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    The statistic displays the number of broadcasts of the International Ski Federation (FIS) Cross-Country World Cup 2020/2021, by country. During the 2020/2021 season, Norway showed 666 broadcasts of the FIS Cross-Country Ski World Cup.

  13. FIS: media market ranking of the Alpine Ski World Cup 2020/2021, by country

    • statista.com
    Updated Sep 11, 2021
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    Statista Research Department (2021). FIS: media market ranking of the Alpine Ski World Cup 2020/2021, by country [Dataset]. https://www.statista.com/topics/3922/skiing-in-europe/
    Explore at:
    Dataset updated
    Sep 11, 2021
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    The statistic displays the media market ranking of the International Ski Federation (FIS) Alpine World Cup 2020/2021, by country. During the 2020/2021 season, Germany had the highest media market ranking in terms of event impressions.

  14. Mean and SD of measured skiing speeds (km/h) of the 3 speed perception...

    • plos.figshare.com
    xls
    Updated Jun 3, 2023
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    Friedrich Brunner; Gerhard Ruedl; Martin Kopp; Martin Burtscher (2023). Mean and SD of measured skiing speeds (km/h) of the 3 speed perception categories according to sex, age, skill level, risk taking behavior and helmet use. [Dataset]. http://doi.org/10.1371/journal.pone.0132002.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Friedrich Brunner; Gerhard Ruedl; Martin Kopp; Martin Burtscher
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Mean and SD of measured skiing speeds (km/h) of the 3 speed perception categories according to sex, age, skill level, risk taking behavior and helmet use.

  15. i

    Skiing Data Analysis

    • ieee-dataport.org
    Updated Mar 9, 2025
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    Ales Prochazka (2025). Skiing Data Analysis [Dataset]. https://ieee-dataport.org/documents/skiing-data-analysis
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    Dataset updated
    Mar 9, 2025
    Authors
    Ales Prochazka
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    training

  16. Q

    Giant Slalom Skiing Image Dataset

    • qleandataset.visual-bank.co.jp
    Updated Oct 23, 2025
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    Visual Bank Inc. (2025). Giant Slalom Skiing Image Dataset [Dataset]. https://qleandataset.visual-bank.co.jp/en/lineup/ds-036
    Explore at:
    Dataset updated
    Oct 23, 2025
    Dataset authored and provided by
    Visual Bank Inc.
    License

    https://qleandataset.visual-bank.co.jp/en/contacthttps://qleandataset.visual-bank.co.jp/en/contact

    Measurement technique
    jpeg
    Description

    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

  17. C

    Ski Resort Map

    • data.colorado.gov
    • data.wu.ac.at
    csv, xlsx, xml
    Updated Feb 8, 2016
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    (2016). Ski Resort Map [Dataset]. https://data.colorado.gov/Recreation/Ski-Resort-Map/35wy-bjgu
    Explore at:
    xml, xlsx, csvAvailable download formats
    Dataset updated
    Feb 8, 2016
    Description

    Map of Colorado Ski Resorts

  18. Epic and Ikon Ski resorts data

    • kaggle.com
    zip
    Updated Apr 12, 2022
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    Grayson Hineline (2022). Epic and Ikon Ski resorts data [Dataset]. https://www.kaggle.com/datasets/graysonhineline/epic-and-ikon-ski-resorts-data
    Explore at:
    zip(27721 bytes)Available download formats
    Dataset updated
    Apr 12, 2022
    Authors
    Grayson Hineline
    Description

    This dataset comprises of three tables of data scraped from OnTheSnow.com. I put together this set to have a small database to play around with in SQL and also to create some Tableau visualizations. While OnTheSnow.com has data on many more resorts than just the 85 resorts listed here, I only wanted to do some analysis comparing the multi-resort season passes provided by Vail (Epic Pass) and Alterra (Ikon pass). Each csv file contains different information about the resorts:

    • skiresorts.csv contains general information about the ski resorts, such as their size, runs and offerings to skiers. Many of the values within this csv are null due to the fact that OnTheSnow just didn't list that information. For example, the "Night Skiing" column is mostly null because OnTheSnow just didn't list any information about night skiing for those resorts. For most of the null values, it is fair to assume that if a value is null, then the resort just doesn't have that thing (like night skiing). Also, the "Limited or unlimited" column provides data on whether a given pass gives limited or unlimited access to a pass holder to that resort.

    • annualsnow.csv has a bunch of different metrics measuring the snowfall of a given resort during the last 10 years. I would have gone farther back in time, but OnTheSnow only provides data going this far back.

    • currentseason.csv gives information on the snowfall amounts for the current 2021-2022 season up until the current date (April 8th, 2022).

    Note: a lot of the numerical data is not in the correct format, and that was done on purpose in case you want to mess around with cleaning the data, or would like to eliminate data using either using or not using the metric system.

  19. Proportions male/female (Odds) and Odds ratios (OR) of more skilled/less...

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
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    Friedrich Brunner; Gerhard Ruedl; Martin Kopp; Martin Burtscher (2023). Proportions male/female (Odds) and Odds ratios (OR) of more skilled/less skilled skiers with respect to perception of skiing speed. [Dataset]. http://doi.org/10.1371/journal.pone.0132002.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Friedrich Brunner; Gerhard Ruedl; Martin Kopp; Martin Burtscher
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Proportions male/female (Odds) and Odds ratios (OR) of more skilled/less skilled skiers with respect to perception of skiing speed.

  20. Skiing Facilities Market Size & Share Outlook to 2030

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Jun 17, 2025
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    Mordor Intelligence (2025). Skiing Facilities Market Size & Share Outlook to 2030 [Dataset]. https://www.mordorintelligence.com/industry-reports/skiing-facilities-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 17, 2025
    Dataset authored and provided by
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2019 - 2030
    Area covered
    Global
    Description

    The Skiing Facilities Market Report is Segmented by Type (Ticket Office, Ski Lodge, Ski School, Restaurant/bar, And Others (Shopping, Shuttle Bus Stops, And Parking)), Distribution Channel (Online and Offline), And Geography (Asia-Pacific, Europe, North America, South America, And the Middle East). The Report Offers Market Size and Forecasts for the Skiing Facilities Market in Terms of Revenue (USD) for all the Above Segments.

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Ulrik Thyge Pedersen (2023). Ski Resorts [Dataset]. https://www.kaggle.com/datasets/ulrikthygepedersen/ski-resorts
Organization logo

Data from: Ski Resorts

Which resort had the most snow? How does it affect the price of skipasses?

Related Article
Explore at:
zip(2922928 bytes)Available download formats
Dataset updated
Mar 23, 2023
Authors
Ulrik Thyge Pedersen
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

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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