One region, one model - explainable hybrid spatiotemporal machine learning to uncover air pollution drivers in Styria, Austria

This dataset is intended for a research paper and contains two main folders. One folder includes ERA5 satellite and local meteorological data for each monitoring station, while the other folder stores pollution data for the same stations. In addition, there are two separate files: one contains Land Use Regression (LUR) features for each station, and the other provides temporal features. The dataset is organized as follows: 1. Pollution Data Columns Timestamp SO2 µg/m³ NO µg/m³ NO2 µg/m³ O3 µg/m³ STBK 10K µg/m³ 2. ERA5 Satellite & Local Meteorological Data Columns timestamp Bockberg_10 metre U wind component Bockberg_10 metre V wind component Bockberg_2 metre dewpoint temperature Bockberg_2 metre temperature Bockberg_Skin temperature Bockberg_Leaf area index, high vegetation Bockberg_Leaf area index, low vegetation Bockberg_Surface net long-wave (thermal) radiation Bockberg_Surface latent heat flux Bockberg_Evaporation Lufttemperatur (LUTE) Relative Luftfeuchte (LUFE) u-component v-component 3. Land Use Regression (LUR) Feature Columns Residential & Accommodation Commercial & Retail Transportation & Infrastructure Industrial & Manufacturing Natural & Agricultural Public & Civic Services Healthcare & Wellness Educational & Religious Food & Hospitality Miscellaneous & Other Structures 4. Temporal Feature Columns Timestamp Julian_Date Day_in_year Month_in_year Year Holiday Land Use Regression (LUR) features were created using OpenStreetMap data. The extracted elements were categorized into columns based on their characteristics. Below are the categories and their corresponding OpenStreetMap (OSM) classes: Category – OSM Classes Residential & Accommodationapartments, house, dormitory, semi-detached house, bungalow, detached, allotment house, group home, nursing home, assisted living, backyard Commercial & Retailsupermarket, mall, variety store, second-hand, bakery, convenience, ice cream, books, jewelry, shoes, electronics, tobacco, bookmaker, stationer Transportation & Infrastructuretrain station, bus, railway, platform, station, parking, parking aisle, footway, cycleway, pedestrian, bridge, corridor, building passage, driveway, steps, road, trunk, secondary, primary, tertiary, secondary link, primary link, alley, path, track Industrial & Manufacturingmanufacture, industrial, warehouse, car parts, car repair, car wash, carport, garage, garages, weighing scales, recycling, transformer tower, generator, substation, electrical, greenfield, brownfield, construction Natural & Agriculturalforest, wood, farmland, grass, meadow, grassland, scrub, heath, cliff, mountain range, plain, river, stream, basin, vineyard, greenhouse, greenhouse horticulture, farmyard Public & Civic Servicescourthouse, town hall, civic, military, police, fire station, community centre, social facility, funeral directors, rehabilitation, clubhouse, public, shelter, recreation ground, events venue, casino Healthcare & Wellnesshospital, doctor, doctors, health centre, pharmacy, psychotherapist, rehabilitation Educational & Religiousuniversity, college, school, kindergarten, chapel, church, mosque, place of worship Food & Hospitalityrestaurant, cafe, fast food, biergarten, pub, kitchen Miscellaneous & Other Structuresoffice, service, civic, building, roof, detached, outbuilding, shed, hut, terrace, fountain, station, tree row