Dataset on Weather Conditions and Flight Decision Records for Hot-Air Balloons in Cappadocia Region (2023–2024)

Published: 21 July 2025| Version 1 | DOI: 10.17632/mjv3zmxwsn.1
Contributor:
Ahmet ÖZCAN

Description

This dataset contains meteorological records and operational flight suitability decisions for hot-air balloon flights in Cappadocia, Türkiye, covering the period from 2023 to 2024. The dataset includes daily observations (731 days in total) of key weather variables such as maximum and minimum temperature, wind speed, wind gusts, humidity, precipitation, snow depth, atmospheric pressure, cloud coverage, and visibility. Additionally, it provides a binary label indicating whether balloon flights were officially authorized and conducted (1) or cancelled due to adverse weather conditions or administrative decisions (0). This comprehensive dataset is particularly valuable for researchers interested in applying machine learning or statistical methods to model and predict flight suitability based on meteorological conditions, as well as for decision-support systems aimed at enhancing aviation safety and tourism management. Keywords: Hot-air balloon, Meteorological data, Flight suitability, Aviation safety, Cappadocia, Machine Learning, Decision support systems

Files

Institutions

Categories

Computer Science, Tourism, Artificial Intelligence, Machine Learning, Decision Support System, Weather

Licence