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To address the lack of suitable property databases, this study employs the latest version of the chemistry-aware natural-language-processing (NLP) toolkit, ChemDataExtractor, to automatically curate a comprehensive materials database of key stress-strain properties. The database contains information about materials and their cognate properties: ultimate tensile strength, yield strength, fracture strength, Young\u2019s modulus, and ductility values. 720,308 data records were extracted from the scientific literature and organized into machine-readable databases formats. The extracted data have an overall precision, recall and F-score of 82.03%, 92.13% and 86.79%, respectively. The resulting database has been made publicly available, aiming to facilitate data-driven research and accelerate advancements within the mechanical-engineering domain.<\/jats:p>","DOI":"10.1038\/s41597-024-03979-6","type":"journal-article","created":{"date-parts":[[2024,11,23]],"date-time":"2024-11-23T07:35:25Z","timestamp":1732347325000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["A Database of Stress-Strain Properties Auto-generated from the Scientific Literature using ChemDataExtractor"],"prefix":"10.1038","volume":"11","author":[{"given":"Pankaj","family":"Kumar","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Saurabh","family":"Kabra","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1552-8743","authenticated-orcid":false,"given":"Jacqueline M.","family":"Cole","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,11,23]]},"reference":[{"key":"3979_CR1","doi-asserted-by":"publisher","first-page":"110994","DOI":"10.1016\/j.matdes.2022.110994","volume":"221","author":"W Zhang","year":"2022","unstructured":"Zhang, W. & Xu, J. 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