Aside from the MaterioMiner data , which was used as a test dataset, a corpus of peer-reviewed materials science publications was acquired from which training and validation data were derived. The objective was to collect a representative materials fatigue text dataset which captures many of the relevant entities within the domain. Another target was to generate a thoroughly annotated dataset, where many distinct sections were thoroughly annotated to enable training language models that permit information extraction beyond abstracts. A set of 47 full-text PDF documents of scientific articles were manually selected where the focus was on fatigue of steel and aluminum alloys and further filtered to contain information on S-N curves, i.e. a relationship between applied cyclic loads and sustained lifecycles.