AQ-Bench: a benchmark dataset for machine learning on global air quality metrics

Clara Betancourt, Timo Stomberg, Ribana Roscher, Martin G. Schultz, and Scarlet Stadtler

Data sets

AQ-Bench Clara Betancourt, Timo Stomberg, Scarlet Stadtler, Ribana Roscher, and Martin G. Schultz https://doi.org/10.23728/b2share.30d42b5a87344e82855a486bf2123e9f

Model code and software

AQ-Bench Git repository Clara Betancourt, Timo Stomberg, and Scarlet Stadtler https://gitlab.version.fz-juelich.de/esde/machine-learning/aq-bench

Short summary

With the AQ-Bench dataset, we contribute to shared data usage and machine learning methods in the field of environmental science. The AQ-Bench dataset contains air quality data and metadata from more than 5500 air quality observation stations all over the world. The dataset offers a low-threshold entrance to machine learning on a real-world environmental dataset. AQ-Bench thus provides a blueprint for environmental benchmark datasets.