Pearson’s Crystal Data

Pearson’s Crystal Data is a large-scale crystal-structure database for inorganic materials and compounds, published by ASM International and edited by Pierre Villars and Karin Cenzual. The 2024/25 release contains approximately 410,000 crystal-structure datasets and also provides derived data such as powder diffraction patterns, d-spacings/intensities/Miller indices, and lattice-parameter diagrams as a function of temperature and pressure; therefore, it is used as a foundational data resource for materials discovery, phase identification, and structural validation.

Information

Official site https://www.lightstone.co.jp/pearsonscd/
Openness ☆☆☆
License
  • Paid commercial product
  • 1-year license (time-limited)
  • Perpetual license (no expiration; the purchased version can be used without a time limit)
  • Upgrades to newer releases are available via paid update/upgrade fees
Core Developers

ASM International (publisher)

Materials Phases Data System (MPDS) (partner/co-developer)

Editors: Pierre Villars, Karin Cenzual

Search software: Crystal Impact

Availability
  • OS: Windows 11 / 10
  • RAM: 2 GB or more (4 GB or more recommended)
  • Storage: 8 GB or more free disk space
  • Display: 1024 × 768 or higher, 32,768 colors (High Color or higher)
  • Additional note: Release 2024/25 is the final offline edition; subsequent access transitions to the online ASM Materials Platform for Data Science (MPDS).
Related Papers
  • Villars, P.; Cenzual, K. Pearson’s Crystal Data: Crystal Structure Database for Inorganic Compounds (on DVD), Release 2018/19. ASM International, Materials Park, Ohio, USA.
  • Zagorac, D.; Müller, H.; Ruehl, S.; Zagorac, J.; Rehme, S. “Recent developments in the Inorganic Crystal Structure Database: theoretical crystal structure data and related features.” Journal of Applied Crystallography, 52(5), 918–925 (2019). https://doi.org/10.1107/S160057671900997X
  • Matsushita, Y. “Crystal Structure Databases and the Crystallographic Common Data Format CIF, 1. Crystal Structure Databases”, Journal of Surface Analysis, 19(3), 177–187 (2013). (Japanese) DOI: 10.1384/jsa.19.177
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