This dataset was used for the paper "Balloons in the Sky: Unveiling the Characteristics and Trade-offs of the Google Loon Service" It is composed of three different files, identifying three different case studies Peru, Puerto Rico, and Kenya Once uncompressed, the files are stored in parquet format. They can be analyzed using e.g. pyspark with the following code df = spark.read.parquet('dataset.parquet') Each scenario is composed of two tables. The file dataset.parquet contains the measured bandwidth in the analyzed area for a period of approximately three months. Its columns are: ts: the timestamp of the measurement, as UNIX timestamp h3: the id of the H3 hexagon (aka pixel) of the measurement nloons: the number of balloons that provided coverage to the pixel at the given timestamp thr: the available bandwith serviceDuration: the duration of the service on the given pixel, starting from ts The file serving_loons.parquet contain the information about the available balloons flying over the area under study. Its columns are ts: the timestamp of the measurement, as UNIX timestamp serving_loons: the number of ballons flying over the area