Subset of dataset for publication "Toward an Autonomous Robotic Battery Materials Research Platform Powered by Automated Workflow and Ontologized Findable, Accessible, Interoperable, and Reusable Data Management"

Scope This subset of the dataset comprises detailed data from 1 coin cell battery with NMC//graphite chemistry cycled for 1000 cycles. The battery cell was assembled and cycled using the automated robotic battery materials research platform, Aurora, at Empa, the Swiss Federal Laboratories for Materials Science and Technology, within the Laboratory for Materials for Energy Conversion. This dataset accompanies the publication:Toward an Autonomous Robotic Battery Materials Research Platform Powered by Automated Workflow and Ontologized Findable, Accessible, Interoperable, and Reusable Data Management.Batteries & Supercaps, 2025, https://doi.org/10.1002/batt.202500155 The full dataset containing the data of all 199 coin cell batteries can be found here:Dataset for publication Toward an Autonomous Robotic Battery Materials Research Platform Powered by Automated Workflow and Ontologized Findable, Accessible, Interoperable, and Reusable Data Management, https://zenodo.org/records/15016597 Data Structure For each battery cell (in this data set only for empa__ccid000002), the following files are included: Battery cell metadata file: Filename: empa__ccid000XXX.metadata.json Description: Contains semantically annotated battery assembly data along with the cycling protocol applied to the specific battery cell. The file is structured in JSON-LD format and leverages the Battery Interface Ontology (BattINFO) domain to ensure semantic interoperability and rich data description. Reference: Battery Interface Ontology — BattInfo documentation Battery cell cycling data files: Filenames: empa__ccid000XXX.bdf.csv empa__ccid000XXX.bdf.parquet Description: Cycling data is provided in two formats: CSV and Parquet. Both contain identical data. The CSV format enables straightforward human inspection, while the Parquet format supports faster parsing and is optimized for automated processing. These files follow the Battery Data Format (BDF) for Time-Series Data, as recommended by the Battery Data Alliance. Reference: Battery Data Alliance - Battery Data Format Definition