| Other contributing persons, institutions or organisations | eu - Funder | |
| Other contributing persons, institutions or organisations | Kästner, Markus - ProjectLeader | |
| Person(s) who is (are) responsible for the content of the research data | Heindel, Leonhard | |
| Abstract | This dataset provides acceleration and strain measurements from a sensor equipped eBike, which were collected
for the development of new methods for fatigue damage monitoring and maneuver identification tasks. | |
| Regions the data is referencing | Dresden | |
| Additional keywords | Predictive Maintenance | |
| Additional keywords | E-Mobility | |
| Additional keywords | Fatigue | |
| Additional keywords | Damage regression | |
| Language | eng | |
| Year or period of data production | 2022 | |
| Publication year | 2022 | |
| Publisher | Technische Universität Dresden | |
| References on related materials | IsPartOf: 123456789/5738 (Handle) | |
| Content of the research data | Image, Dataset, Software: The dataset mainly includes measurement time series files. Additionally, pictures are included to document the experimental setup and a python script is provided in order to facilitate the data access. | |
| Holder of usage rights | Technische Universität Dresden | |
| Usage rights of the data | CC-BY-4.0 | |
| Software | Resource Processing: Python | |
| Discipline(s) | Engineering | de |
| Title of the dataset | eBike measurements for fatigue monitoring and maneuver identification tasks | |
