Hystorian: A Processing Tool for Scanning Probe Microscopy and Other n-Dimensional Datasets

Research in materials science increasingly depends on the correlation of information from multiplie characterisation techniques, acquired in ever larger datasets. Efficient methods of processing and storing these complex datasets are therefore crucial. Reliably keeping track of data processing is also essential to conform with the goals of open science. Here, we introduce Hystorian, a generic materials science data analysis Python package built with processing traceability, reproducibility, and archival ability at its core. Proprietary data formats are converted into open hierarchical data format (HDF5) files, with both datasets and subsequent workflows automatically stored into a single location, thus allowing easy management of multiple data types. At present providing a basic scanning probe microscopy and x-ray diffraction analysis toolking, Hystorian is readily extensible to suit user needs and can wrap any existing processing functions, making it easy to append in an extant workflow.

    Organizational unit
    Paruch Group
    Type
    Dataset
    DOI
    10.26037/yareta:pkujtpch4vhqbhyxyw63vhsc6m
    License
    Creative Commons Attribution 4.0 International
Publication date19/02/2021
Retention date21/02/2031
accessLevelPublicAccess levelPublic
SensitivityBlue
duaNoneContract on the use of data
Contributors
  • Bulanadi, Ralph Adam Yap
  • Gaponenko, Iaroslav orcid
  • Paruch, Patrycja
  • Musy, Loïc orcid
32
6
  • Quality (0 Reviews)
  • Usefulness (0 Reviews)

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