Southeast Asia Daily AQI Dataset -- 2

I need a clean, research-ready dataset that tracks daily air-quality conditions for India, Indonesia and the Philippines from 1 Jan 2019 through 31 Dec 2025. The focus is PM2.5-dominant AQI, but I also want the underlying concentrations of PM2.5, PM10, NO₂ and SO₂ together with basic meteorological variables (temperature, humidity, wind speed and rainfall). Only figures released by the relevant national or provincial authorities will be acceptable; please work directly from government portals and monitoring stations rather than third-party aggregators. Where multiple stations report for the same city, keep station-level detail and include latitude-longitude so I can later map or group as needed. Deliverables • One well-structured CSV per country—or a single consolidated CSV with a country field—containing, at minimum: date, station ID/name, latitude, longitude, PM2.5, PM10, NO₂, SO₂, temperature, humidity, wind speed, rainfall and computed PM2.5-based AQI. • A short README that lists every source URL used, the retrieval method, units, any conversion factors applied and how missing values are flagged. • (Optional but appreciated) the Python/R scripts you use for scraping and cleaning so I can reproduce or extend the workflow. Acceptance criteria 1. Daily continuity: ≥90 % of days present for each variable per station over the full time span. 2. Values expressed in consistent units (µg/m³ for pollutants, °C, %, m/s, mm). 3. No duplicate rows; date and station must form a unique key. 4. Source references verifiable and traceable back to the original government site. If anything about the timeline, variables or format is unclear, let me know before you start scraping so we can lock down the spec.

Project ID: 40424855