Articles | Volume 13, issue 6
Earth Syst. Sci. Data, 13, 3013–3033, 2021
https://doi.org/10.5194/essd-13-3013-2021

Special issue: Benchmark datasets and machine learning algorithms for Earth...

Earth Syst. Sci. Data, 13, 3013–3033, 2021
https://doi.org/10.5194/essd-13-3013-2021

Data description paper 24 Jun 2021

Data description paper | 24 Jun 2021

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

Clara Betancourt et al.

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

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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.