Dataset for publication "A Strategy to Prevent Fluorine-Induced Transition Metal Dissolution in Lithium-Ion Batteries"

This dataset contains coin cell cycling data from the publication "A Strategy to Prevent Fluorine-Induced Transition Metal Dissolution in Lithium-Ion Batteries" by Kim et al., Advanced Energy and Sustainability Research, 2025, 6, 2500194. Data is packaged as a research-object crate ZIP file. The two ZIP files contain the same data in different formats, parquet (smaller, faster) and csv (easier to open) accompanied by metadata in json format. Within one ZIP file, each subfolder contains data and metadata for one coin cell. Time series data Time-series and impedance spectroscopy data use 'Battery Data Format' (BDF) columns in either .csv or .parquet files. Parquet files can be opened with, e.g. Python: read_parquet(file) with pandas or polars libraries MatLab: parquetread(file) R: read_parquet(file) with the arrow library Reference: Battery Data Alliance - Battery Data Format Definition Cell metadata 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