International
Tables for
Crystallography
Volume G
Definition and exchange of crystallographic data
Edited by J. R. Hester and B. McMahon

International Tables for Crystallography (2026). Vol. G. Early view chapter
https://doi.org/10.1107/97809553602060001011

Chapter 4.2 Core dictionary (coreCIF)


Index

Core dictionary version 3.3.0

Category AUDIT_DATASET

Name:
'AUDIT_DATASET'

Parent category:
AUDIT

Definition:

   
    The AUDIT_DATASET category contains data items used for linking data
    blocks to aid in grouping blocks which contain information that is
    interrelated.

    Data blocks which should be interpreted together are identified with the
    same unique _audit_dataset.id.

Examples:

Four data blocks for a powder diffraction experiment. By the presence of an identical _audit_dataset.id value, it is made clear that all four data blocks are to be interpreted together as a whole. It is clear that there are two crystal structures, one diffractogram, and a block containing other experimental information. These blocks may be contained in the same file, or many files, but the presence of an _audit_dataset.id value removes doubt as to their relationship to each other.
       data_structure1
       _audit_dataset.id  82c0a1e2-29ad-47b8-ace1-01e653e1cae8
       _pd_phase.name "First phase"
         # cell parameters and atom positions
         # ...

       data_structure2
       _audit_dataset.id  82c0a1e2-29ad-47b8-ace1-01e653e1cae8
       _pd_phase.id "Second phase"
         # cell parameters and atom positions
         # ...

       data_diffraction_data1
       _audit_dataset.id  82c0a1e2-29ad-47b8-ace1-01e653e1cae8
       _pd_diffractogram.id "First data set"
         # diffracted intensities vs angle
         # ...

       data_information
       _audit_dataset.id  82c0a1e2-29ad-47b8-ace1-01e653e1cae8
         # wavelength, specimen preparation, temperature, pressure...
         # ...

Four data blocks for a powder diffraction experiment. The absence of an _audit_dataset.id value does not preclude interpreting these data blocks together. The consumer of the information may be able to infer that they belong together due to contextual information.
       data_structure1
       _pd_phase.name "First phase"
         # cell parameters and atom positions
         # ...

       data_structure2
       _pd_phase.id "Second phase"
         # cell parameters and atom positions
         # ...

       data_diffraction_data1
       _pd_diffractogram.id "First data set"
         # diffracted intensities vs angle
         # ...

       data_information
         # wavelength, specimen preparation, temperature, pressure...
         # ...

Three data blocks for a powder diffraction experiment. The identical _audit_dataset.id value makes it clear that all data blocks are to be interpreted together as a whole. The presence of multiple _audit_dataset.id values for the second data block indicates it is included in more than one data set. Because they have different _audit_dataset.id values, the diffractogram _pd_diffractogram.id "First data set" in the first example is different from the diffractogram _pd_diffractogram.id "First data set" in this example.
       data_structure1
       _audit_dataset.id  34e58dee-900c-47cf-8f8c-1f52e5a9a3b9
       _pd_phase.name "First phase"
         # cell parameters and atom positions
         # ...

       data_calibration_structure
       loop_
         _audit_dataset.id
           34e58dee-900c-47cf-8f8c-1f52e5a9a3b9
           2d7ee621-d916-4302-9045-ec68f56add45
           255bb051-a3d5-43f0-8384-fa8ccb2ce3c7
       _pd_phase.id "Calibration phase"
         # cell parameters and atom positions
         # ...

       data_diffraction_data
       _audit_dataset.id  34e58dee-900c-47cf-8f8c-1f52e5a9a3b9
       _pd_diffractogram.id "First data set"
         # diffracted intensities vs angle
         #...

Category is of type Loop

Category key:
    _audit_dataset.id

This category contains the following items








































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