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Data set of meteorological observations (wind, temperature, humidity) collect...
Die meteorologischen Daten zu den Temperatur-, Feuchte- und Windfeldern wurden während vier Messkampagnen in Stuttgart im Sommer 2017, Winter 2017, Sommer 2018 und Winter 2018... -
SynthCity Dataset - Trajectory
With deep learning becoming a more prominent approach for automatic classification of three-dimensional point cloud data, a key bottleneck is the amount of high quality training... -
SynthCity Dataset - Area 3 (Test)
With deep learning becoming a more prominent approach for automatic classification of three-dimensional point cloud data, a key bottleneck is the amount of high quality training... -
SynthCity Dataset - Area 1
With deep learning becoming a more prominent approach for automatic classification of three-dimensional point cloud data, a key bottleneck is the amount of high quality training... -
SynthCity Dataset - All Areas
With deep learning becoming a more prominent approach for automatic classification of three-dimensional point cloud data, a key bottleneck is the amount of high quality training... -
SynthCity Dataset - Complete
With deep learning becoming a more prominent approach for automatic classification of three-dimensional point cloud data, a key bottleneck is the amount of high quality training... -
Dataset for Shang et al. 2021: Pollen observations at four EARLINET stations ...
Lidar observations were analysed to characterize atmospheric pollen at four EARLINET (European Aerosol Research Lidar Network) stations (Hohenpeißenberg, Germany; Kuopio,...
