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Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
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The Cambridge Structural Database.

Colin R Groom1, Ian J Bruno1, Matthew P Lightfoot1

  • 1Cambridge Crystallographic Data Centre, 12 Union Road, Cambridge CB2 1EZ, England.

Acta Crystallographica Section B, Structural Science, Crystal Engineering and Materials
|April 7, 2016
PubMed
Summary
This summary is machine-generated.

The Cambridge Structural Database (CSD) is a comprehensive repository of crystal structures, ensuring data discoverability and reusability for over 50 years. It provides free access to chemical data through web services and software applications.

Keywords:
CIF archiveCambridge Structural Databasecrystal structure databaseopen data

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Area of Science:

  • Crystallography
  • Materials Science
  • Chemistry

Background:

  • The Cambridge Structural Database (CSD) has served as a primary resource for sharing structural chemistry data for over five decades.
  • It archives published organic and metal-organic small-molecule crystal structures, supporting interdisciplinary research.

Purpose of the Study:

  • To highlight the CSD's role in data dissemination and accessibility.
  • To emphasize the importance of accurate chemical identity association for data reusability.
  • To showcase the various access methods available for CSD content.

Main Methods:

  • Structures are processed computationally and by expert editors for accurate chemical identity association.
  • Content is enriched with additional experimental data.
  • Data is made available through CSD community web services, CCDC linking services, and third-party software.

Main Results:

  • The CSD ensures reliable association of chemical identity with experimental data, enhancing discoverability.
  • Content is enriched, improving the value and reusability of structural information.
  • Free web services and diverse access points facilitate broad data accessibility.

Conclusions:

  • The CSD is a vital, long-standing resource for structural chemistry data.
  • Rigorous data processing and enrichment ensure high-quality, discoverable, and reusable information.
  • Extensive accessibility options promote widespread use and collaboration in structural science.