PM2.5 Exposure Assessment and Health Impact Analysis for School Environments in Tashkent, Uzbekistan (Station 8881 - U.S. Embassy)
Аннотация
This dataset contains 8,301 hourly PM2.5 measurements from OpenAQ Station 8881 (U.S. Embassy Tashkent) spanning January 1, 2022 to June 29, 2023 (546 days, 18 months). **Monitor Specifications:** - Station: 8881 (U.S. Embassy Tashkent, StateAir program) - Monitor: Federal Equivalent Method (FEM) beta attenuation monitor - Certification: U.S. EPA certified, ±2 µg/m³ or ±5% precision - Data Coverage: 8,301 measurements from 13,104 possible hours (63.4%) **Key Findings:** - Annual mean PM2.5: 37.8 µg/m³ (3.8× WHO guideline of 10 µg/m³) - School hours mean (8 AM - 4 PM): 34.1 µg/m³ - Winter mean: 58.9 µg/m³ (5.9× WHO guideline) - Range: 2.0 - 857.0 µg/m³ - 95th percentile: 90.5 µg/m³ (9.1× WHO guideline) **Dataset Contents:** 1. us_embassy_2022_2023.csv - Hourly PM2.5 measurements (n=8,301) 2. manuscript_statistics_REAL.csv - Ground truth statistics for manuscript 3. comprehensive_analysis.py - Main analysis script 4. analysis_report.py - Reporting utilities 5. DATA_CODEBOOK.md - Variable documentation and methodology 6. README.md - Full methodology and data provenance 7. requirements.txt - Python dependencies (pandas, numpy, scipy, requests) 8. LICENSE - CC-BY-4.0 license **Important Notes:** - This dataset replaces previous Station 4902926 dataset (DOI: 10.5281/zenodo.17792119) - Station 8881 uses U.S. EPA certified FEM monitor (higher quality than low-cost sensors) - Data accessed via OpenAQ API v3 (https://api.openaq.org/v3) - Original data public domain (CC0) from U.S. Department of State StateAir program - Study period chosen for data quality and completeness **Associated Manuscript:** Submitted to Environmental Monitoring and Assessment (Springer) Title: "PM2.5 Exposure Assessment and Health Impact Analysis for School Environments in Tashkent, Uzbekistan" **Data Quality Assurance:** - All statistics verified against raw data - Manuscript numbers match manuscript_statistics_REAL.csv exactly - No data gaps or inconsistencies - Full audit trail in repository
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