More broadly, this work demonstrates the value of comprehensive electronic experimental records containing both data and metadata. Such records are a prerequisite for automated serendipity, enabling the statistical identification of anomalies that can be subjected to more deliberate study. As such, it serves as additional encouragement for the adoption of automated laboratory processes (such as RAPID and SolTrain 32 ) and software (such as ESCALATE ) that facilitate this type of data collection and reuse.