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Airly (Airly sp. z o.o. / Airly Inc. / Airly Air Quality Services Ltd.) — Raw and ML-calibrated hyperlocal air-quality sensor time-series from Airly's proprietary street-level network: PM1/PM2.5/PM10 plus NO2/O3/CO/SO2 with temperature, humidity and pressure, at 1-minute granularity, geotagged to individual mounting sites; plus derived layers the product generates as byproduct — exceedance event logs against regulatory thresholds, pollution-source attribution, forecast-vs-actual pairs, and 12-month recalibration deltas (raw vs corrected values for the same physical site).. Mid-scale, high-val…
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Raw and ML-calibrated hyperlocal air-quality sensor time-series from Airly's proprietary street-level network: PM1/PM2.5/PM10 plus NO2/O3/CO/SO2 with temperature, humidity and pressure, at 1-minute granularity, geotagged to individual mounting sites; plus derived layers the product generates as byproduct — exceedance event logs against regulatory thresholds, pollution-source attribution, forecast-vs-actual pairs, and 12-month recalibration deltas (raw vs corrected values for the same physical site).
Scale ~150M readings/day implied (13From 9 yearsCoverage Industrials · Information Technology
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Airly (Airly sp. z o.o. / Airly Inc. / Airly Air Quality Services Ltd.) — Raw and ML-calibrated hyperlocal air-quality sensor time-series from Airly's proprietary street-level network: PM1/PM2.5/PM10 plus NO2/O3/CO/SO2 with temperature, humidity and pressure, at 1-minute granularity, geotagged to individual mounting sites; plus derived layers the product generates as byproduct — exceedance event logs against regulatory thresholds, pollution-source attribution, forecast-vs-actual pairs, and 12-month recalibration deltas (raw vs corrected values for the same physical site).. Mid-scale, high-val…
Eiturbanmobility offers (Alternative, Geospatial, Esg, Sentiment) — ~150M readings/day implied (13,000+ data points x 1-minute cadence x ~8 pollutant and weather measures); ~5e10 records cumulative since the 2016 network build-out.
Low-cost-sensor calibration and correction models (the raw/reference-station pairs are direct supervised training data); hyperlocal air-quality forecasting model training and scoring; population exposure and epidemiological health-impact modeling; emission-zone and urban-planning simulation with street-level ground truth; ESG/CSRD air-impact disclosure feeds for industrials; outdoor-advertising and mobility contextual targeting (live readings already displayed on bus shelters); real-estate environmental-risk scoring; verification/QA layer for satellite-derived NO2 products.
The data is with 9 years of history.
Coverage spans US, UK, Europe, Japan; Environmental & Facilities Services, Application Software; alternative, geospatial, esg, sentiment; equities.
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