Weight, Temperature and Humidity Sensor Data of Honey Bee Colonies in Germany, 2019 - 2022

Files: bob_publication_data.zip Sensor data in 1-minute, 1-hour and 1-day interval, processed and unprocessed version as described in data paper. Inspection data with beekeepers' meta-information collected using web app. bob_raw_data.zip Raw sensor data with original measurement interval, mostly 5 or 10 seconds. bob_code_publication.zip Code we used to prepare the data. We anonymised sections with personal keys and passwords. Abstract: We present sensor data from 78 honey bee colonies in Germany collected as part of a citizen science project. Each honey bee hive was equipped with five temperature sensors within the hive, one temperature sensor for outside measurements, a combined sensor for temperature, ambient air pressure and humidity, and a scale to measure the weight. During the data acquisition period, beekeepers used a web app to report their observations and beekeeping activities. We provide the raw data with a measurement interval of up to 5 seconds as well as aggregated data, with per minute, hourly or daily average values. Furthermore, we performed several preprocessing steps, removing outliers with a threshold based approach, excluding changes in weight that were induced by beekeeping activities and combining the sensor data with the most important meta-data from the beekeepers' observations. The data is organised in directories based on the year of recording. Alternatively, we provide subsets of the data structured based on the occurrence or non-occurrence of a swarming event or the death of a colony. The data can be analysed using methods from time series analysis, time series classification or other data science approaches to form a better understanding of specifics in the development of honey bee colonies. Information: The first three years of the citizen science project were funded by the German Ministry for Education and Research (BMBF).