This dataset represents binary measurements of precipitation at 92 weather stations across four states in the United States of America. These four states are Illinois, Indiana, Iowa, and Missouri. Task: The dataset can be used to study causal discovery algorithms as in Foygel Barber and Drton (2015). Summary: Size of dataset: 371 x 93 Task: Causal Discovery Problem Data Type: Binary Data Dataset Scope: Standalone Dataset Ground Truth: Known Graph Temporal Structure: Time Series Data (irregular) License: CC BY 4.0 (see https://www.ncei.noaa.gov/archive#v-pills-licensing) Missing Values: No Missing Data Missingness Statement: There are no missing values. Features: The first column indicates the record time, wheras the following 92 columns represent the postal codes of the respective weather stations. Files: precipitation_dataset.csv: dataset GroundTruth_delaunay.csv: Undirected graph obtained by applying Delaunay triangulation to the geographical layout via the postcodes.