sensorair-qualityenvironmentpollutioncitiesclimatepublic-healthsensor-dataglobaldailyAQI
Global Urban Air Quality Monitoring by City (2020-2025)
About this data
Comprehensive daily air quality monitoring data for 60 major cities across 6 continents, spanning 2020-2025. Includes PM2.5, PM10, NO2, SO2, O3, and CO concentrations alongside computed AQI values, weather conditions (temperature, humidity, wind speed), and city metadata. Data is normalized across stations and reflects realistic seasonal patterns, weekend effects, and multi-year improvement trends. Ideal for environmental analysis, public health research, smart city planning, and ML model training for air quality prediction.
Schema
| Name | Type | Description |
|---|---|---|
| date | string | |
| city | string | |
| country | string | |
| continent | string | |
| station_id | string | |
| latitude | string | |
| longitude | string | |
| pm25_ugm3 | string | |
| pm10_ugm3 | string | |
| no2_ppb | string | |
| so2_ppb | string | |
| o3_ppb | string | |
| co_mgm3 | string | |
| aqi | string | |
| aqi_category | string | |
| temperature_celsius | string | |
| relative_humidity_pct | string | |
| wind_speed_kmh | string | |
| city_population_millions | string |
Sample Data
Preview a sample of the data before downloading.
For AI Agents
Via MCP Server
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
"mcpServers": {
"databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
}
}
# 2. Your agent can then call:
search_datasets({ query: "Global Urban Air Quality Monit" })
// Found: 7ca3e269-fb6d-4f3e-8fea-c4d0a5add01e
get_download_url({ dataset_id: "7ca3e269-fb6d-4f3e-8fea-c4d0a5add01e" }) // free — no API key neededVia REST API
# Free dataset — no API key required: curl https://api.databazaar.io/datasets/7ca3e269-fb6d-4f3e-8fea-c4d0a5add01e/download-url