Other language confidence: 0.7557542940856844
This dataset provides data from various air quality sensors at a floating platform of the Federal Institute of Hydrology at the river bank of the Rhine in Koblenz, Germany. The data was collected as part of the mFUND project "REIN" which investigated the suitability of low-cost sensors for the determination of ship emissions with high spatial and temporal resolution. Measurement data involves various pollutants, including nitrogen oxides (NO, NO2), carbon dioxde (CO2) and particulate matter (particle number concentration, mass concentration, size distribution, ultrafine particles, black carbon concentration). Averaged data is provided at 1 minute and 1 hour temporal resolution and covers both low-cost and standard instruments. The dataset is related to the publication "Applicability of compact low- and mid-cost sensors to monitor air pollutant emissions from in-land ships".