DOI10.5281/zenodo.10709066Zenodo10709066MaRDI QIDQ6690935
Dataset published at Zenodo repository.
Author name not available (Why is that?)
Publication date: 26 February 2024
Copyright license: No records found.
The dataset is a benchmark intended for causal learning. It comprise control system data from the accelerator cryogenics plant at the European Spallation Source. The data was taken during three periods when the system was in steady state operation. There are 233 different process variables represented in the dataset. These arise from sensor measurements of physical quantities. Each measurement is indexed by a timestamp and have several metadata fields in addition to the value field. If you use the dataset, please cite this dataset as well as the paperS.W.Mogensen, K.Rathsman, P.Nilsson, Causal discovery in a complex industrial system: A time series benchmark, in Proceedings of the 3rd Conference on Causal Learning and Reasoning (CLeaR), 2024, Available: https://doi.org/10.48550/arXiv.2310.18654The paper also contains a detailed description of the data and of the underlying system. More description, code, and help to get started can be found athttps://soerenwengel.github.io/essdata Note: Downloading the dataset can be slow. Therefore, we have published a reduced dataset containing one hour of operation data for testing and viewing the data. The reduced dataset is available from 10.5281/zenodo.10679737.
This page was built for dataset: Causal Learning at ESS: A Time Series Benchmark
