Tashkent Air Quality dataset
Description
This dataset contains high-frequency, continuous urban air quality and meteorological observations monitoring the environmental conditions in Tashkent, the capital city of Uzbekistan. The data spans from February 26, 2024, to September 18, 2024, capturing a total of 9,546 sequential temporal observations recorded at approximately 30-minute intervals. The dataset is structured as a single comprehensive comma-separated values (.csv) file named "all_sensor.csv". It tracks 8 core air pollutant metrics alongside 4 vital meteorological parameters, creating a robust baseline for multi-sensor environmental analysis, temporal air pollution modeling, and weather-driven dispersion tracking in Central Asian urban microclimates. Data Attributes and Column Definitions: Date: The calendar date of data logging (MM/DD/YYYY format). Time: The local continuous timestamp of data capture (HH:MM:SS format). CO/ppm: Carbon Monoxide concentration measured in parts per million. NO/ppb: Nitric Oxide concentration measured in parts per billion. O3/ppb: Ground-level Ozone concentration measured in parts per billion. PM10/ug/m3: Mass concentration of coarse particulate matter (≤10μm) in micrograms per cubic meter. PM25/ug/m3: Mass concentration of fine particulate matter (≤2.5μm) in micrograms per cubic meter. SO2/ppb: Sulfur Dioxide concentration measured in parts per billion. Temperature: Ambient outdoor air temperature recorded in Celsius (°C). tsp/ug/m3: Total Suspended Particulates mass concentration in micrograms per cubic meter. tvoc/ppm: Total Volatile Organic Compounds measured in parts per million. wind_speed/m/s: Local near-surface wind speed measured in meters per second. Humidity/%RH: Relative Atmospheric Humidity expressed as a percentage. wind_degree/deg: Continuous wind direction vector expressed in degrees (0∘ to 360∘). Potential Reuse and Value: This raw, un-gap-filled time-series dataset is immediately ready for scientific reuse, specifically for training machine learning forecasting architectures (such as LSTM or GRU networks), validation of air quality indexes (AQI), urban health risk assessments, and meteorological correlation analyses.