Reference list for reproducible quantum machine learning pipelines in environmental time series (PM₂.₅ case study)
Abstract
This dataset contains the complete BibTeX reference list used in the study “Reproducible machine learning pipelines for environmental time series withquantum learning under NISQ constraints”. The references cover reproducible machine learning, quantum machine learning, environmental time series analysis, air quality modelling, and open sciencemethodologies. The dataset is intended to support transparency, reproducibility, and reuse of the analytical pipeline described in the associated research.
Fields of Study & Subjects
Quantum Computing Algorithms and Architecture
Air Quality Monitoring and Forecasting
Machine Learning in Materials Science
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 10 February 2026
- Language
- EN
- Document type
- Dataset