Global Weather Station Sensor Network — Daily Observations from 57 Stations Across 48 Countries (2022–2024)
About this data
Comprehensive daily weather sensor readings from 57 major meteorological stations spanning 48 countries and 6 continents, covering 2022–2024. Each record captures temperature (mean, max, min), dewpoint, sea-level pressure, visibility, wind speed, precipitation, snow depth, and weather event flags (fog, rain, snow, hail, thunder, tornado). **Sources:** NOAA Global Summary of the Day (GSOD) via NCEI Climate Data Online. **Schema:** - `station_id` — NOAA station identifier (USAF+WBAN) - `station_name` — Human-readable station name - `city` — City where the station is located - `country` — ISO 2-letter country code - `latitude` / `longitude` — Station coordinates - `date` — Observation date (YYYY-MM-DD) - `temp_f` — Mean temperature (°F) - `temp_max_f` / `temp_min_f` — Daily max/min temperature (°F) - `dewpoint_f` — Dewpoint temperature (°F) - `sea_level_pressure_mb` — Sea-level pressure (millibars) - `visibility_miles` — Visibility (miles) - `wind_speed_mph` — Mean wind speed (mph) - `max_wind_speed_mph` — Maximum sustained wind speed (mph) - `precipitation_inches` — Total precipitation (inches) - `snow_depth_inches` — Snow depth (inches) - `fog` / `rain` / `snow` / `hail` / `thunder` / `tornado` — Binary weather event flags **Coverage:** 57 stations across North America, South America, Europe, Asia, Africa, and Oceania. 59,155 daily records. All columns cleaned and normalized with empty strings for missing values. **Use cases:** Climate analysis, urban weather modeling, sensor network benchmarking, anomaly detection, cross-continental temperature comparisons, precipitation pattern analysis.
Schema
| Name | Type | Description |
|---|---|---|
| station_id | string | |
| station_name | string | |
| city | string | |
| country | string | |
| latitude | string | |
| longitude | string | |
| date | string | |
| temp_f | string | |
| temp_max_f | string | |
| temp_min_f | string | |
| dewpoint_f | string | |
| sea_level_pressure_mb | string | |
| visibility_miles | string | |
| wind_speed_mph | string | |
| max_wind_speed_mph | string | |
| precipitation_inches | string | |
| snow_depth_inches | string | |
| fog | string | |
| rain | string | |
| snow | string | |
| hail | string | |
| thunder | string | |
| tornado | string |
Sample Data
Preview a sample of the data before downloading.
For AI Agents
# 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 Weather Station Sensor " })
// Found: 63c4d860-4324-4f1e-ba25-3257ca79d786
get_download_url({ dataset_id: "63c4d860-4324-4f1e-ba25-3257ca79d786" }) // free — no API key needed# Free dataset — no API key required: curl https://api.databazaar.io/datasets/63c4d860-4324-4f1e-ba25-3257ca79d786/download-url