The data provided here contains bicycle micromobility data collected as part of the project Explanym (https://www.uni-bamberg.de/explanym/), funded by BMFTR (grant id is 16KISA079K). To allow for stress analysis, some of the trips have been enriched with survey and heart rate data of study participants. Details about the data set are as follows:

General Information: About 100 Experiments have been performed on five routes in Bamberg with differing riding difficulty.

Duration of data collection: End of July 2025 until October 2025.

Datasets included in collection: 

Data collected by an ultrasonic bicycle sensor intended to capture overtaking distances (OBS, https://www.openbikesensor.org/). Data includes GPS trajectory, satellite Information, left and right distances to obstacles, and confirmed overtaking Events. Heart rate data for the duration of specific trips captured every second, incl., HR (bpm), speed, pace, distanceSurvey data to capture metadata on routes and stress levels while travelling. Data includes e.g.demographic data, STAI score assessment, and General stress assessmentTraffic Density data: based on Video data taken during the experiments, traffic density indicators were extracted from the videos in 5sec-frames. These incl. number of cars, bicycles, buses, trucks, persons, motorcycles. 

Data Quality: Raw data, no GPS correction, no semantic checks for survey Responses, matching datasets have the same experiment number.

Data format: csv

Number of records: 67 survey responses, 82 heartrate records, 55 traffic density records, 102 trips (sometimes two persons doing one trip both submitting surveys)