(Stanford University) We highly recommend seeing the accompanying github repository to understand the data contents and how to use it. This dataset contains calendar aging from eight different cell types stored at 2 different SOCs and 4 different temperatures. For further details see accompanying paper: A decade of insights: Delving into calendar aging trends and implications. Cell Types: 1. K2 Energy LFP18650E, 2. K2 Energy LFP18650P, 3. Panasonic NCR18650B, 4. Panasonic NCR18650GA, 5. Sony-Murata US18650VTC6, 6. Tenergy 302030, 7. Ultralife 502030, 8. Ultralife UBP001. Storage SOC Conditions: 1. 50%, 2. 100%. Storage Temperatures: 1. 24C, 2. 25C, 3. 60C, 4. 85C. The raw data contains all the voltage and current data at each diagnostic cycle conducted at regular intervals throughout the storage period for the cells. The summary (sum) data contains capacity and resistance values that were extracted at diagnostic cycles. For more information on how to use the data and accompanying code see https://github.com/viveklam/Joule-Decade-Calendar-Aging.
Link to Dataset
Stanford Long Term Calendar Aging Dataset
Date last updated: 2025