Description Usage Format Examples
A dataset which contains observations of PM10 and a lot of covariables in Munich December 2017.
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A data table with 2604 rows and 17 variables:
timestamp rounded down
numeric sensor_id
longitudinal value of the position
latitudinal value value of the position
Variable Type, P1 for PM10 or P2 for PM2.5
sensor_type, currently nearly always SDS011
location indicator
measured value of PM
humiditiy in percent
temperature in degree Celsius
rain in millimeters
transformed historical rain
wind velocity in m/s
transformed historical wind
numeric id
calculated trafficvolumne
sensor age in weeks
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