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

Keyphrases

• Benchmark Dataset 100%
• Machine Learning Techniques 100%
• Machine Learning 100%
• Quality Metrics 100%
• Global Air Quality 100%
• Environmental Science 66%
• Tropospheric Ozone 66%
• Random Forest 33%
• Detrimental Effects 33%
• Quality-oriented 33%
• Data Usage 33%
• Air Quality 33%
• Fully Convolutional Neural Network 33%
• Metric Basis 33%
• Machine Learner 33%
• Evaluation Metrics 33%
• Data Sharing 33%
• Easy Access 33%
• Real-world Problems 33%
• Data Reuse 33%
• Suitable Assessment 33%
• Low Threshold 33%
• Crop Yield 33%
• Human Mortality 33%
• Human Morbidity 33%
• Linear Regression Method 33%
• HTTPS 33%
• Assessment Report 33%
• FAIR Principles 33%
• GitLab 33%
• Local Site Conditions 33%
• Air Quality Data 33%
• Use-dependent Learning 33%
• Air Quality Monitoring Stations 33%
• Environmental Benchmark 33%
• Baseline Scores 33%
• Ozone Metrics 33%

Earth and Planetary Sciences

• Machine Learning 100%
• Air Quality 100%
• Tropospheric Ozone 33%
• Environmental Science 33%
• Atmospherics 16%
• Crop Yield 16%
• Monitoring Station 16%
• Air Quality Monitoring 16%