Precipitation

DOI10.5281/zenodo.14753548Zenodo14753548MaRDI QIDQ6768305

Dataset published at Zenodo repository.

Author name not available (Why is that?)

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.

This page was built for dataset: Precipitation