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Browse Data
3 listingsWeather Station Sensor Network — 57 Stations, 48 Countries (2022–2024)
Deep 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.
Urban Air Quality Monitoring — 60 Cities, 6 Continents (2020–2025)
Consolidated 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.
50-City Daily Weather & Climate Panel — 18,300 Observations (2024)
Reference-grade daily weather observations for 50 major cities across all 6 inhabited continents throughout 2024. Each of the 18,300 rows captures a single city-day with 15 meteorological variables including temperature extremes, precipitation, snowfall, wind speed and gusts, sunshine duration, and evapotranspiration — plus derived indicators like frost days, heat days, and precipitation intensity categories. **Sources:** - Open-Meteo Historical Weather API (ERA5 reanalysis + station data) - Curated world cities database (population, coordinates, timezone metadata) **Coverage:** 50 cities spanning North America (7), South America (5), Europe (10), Asia (13), Africa (7), and Oceania (3) — from Reykjavik (64°N) to Melbourne (37°S), Anchorage to Singapore. **Schema (22 columns):** - `date` — ISO 8601 date - `city`, `country`, `continent` — geographic identifiers - `latitude`, `longitude` — WGS84 coordinates - `city_population` — estimated city population - `timezone` — IANA timezone - `temperature_max_c`, `temperature_min_c`, `temperature_mean_c` — daily temperature in Celsius - `precipitation_mm`, `rain_mm`, `snowfall_cm` — daily precipitation totals - `wind_speed_max_kmh`, `wind_gusts_max_kmh` — peak wind measurements - `sunshine_duration_hours` — hours of sunshine - `evapotranspiration_mm` — FAO Penman-Monteith reference ET₀ - `temperature_range_c` — diurnal temperature swing - `is_frost_day` — binary flag (min temp ≤ 0°C) - `is_hot_day` — binary flag (max temp ≥ 35°C) - `precipitation_category` — none/light/moderate/heavy/extreme **Use cases:** Climate analysis, city comparison dashboards, anomaly detection, ML weather modeling, urban planning research, travel analytics.