Geometric analysis of magnetic dimensionality
Citation:
Karigerasi, Manohar H.; Wagner, Lucas K.; Shoemaker, Daniel P. (2018): Geometric analysis of magnetic dimensionality. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-3897093_V1
Persistent link for this dataset:
Dataset Description

This dataset contains bonding networks and tolerance ranges for geometric magnetic dimensionality. The data can be searched in the html frontend above, code obtained at the GitHub repository, or the raw data can be downloaded as csv below. The csv data contains the results of 42520 compounds (unique icsd_code) from ICSD FindIt v3.5.0. The csv is semicolon-delimited since some fields contain multiple comma-separated values.
Subject Physical Sciences
Keywords materials science; physics; magnetism; crystallography
License CC0
Funder U.S. Department of Energy (DOE) - Grant: Center for Emergent Superconductivity, an Energy Frontier Research Center
Corresponding Creator Daniel P. Shoemaker
Downloaded 484 times
Version DOI Comment Publication Date
1 10.13012/B2IDB-3897093_V1 2018-05-21
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update: {"description"=>["This dataset contains bonding networks and tolerance ranges for geometric magnetic dimensionality. The data can be searched in the html frontend above, code obtained at the GitHub repository, or the raw data can be downloaded as csv below. The csv is semicolon-delimited since some fields contain multiple comma-separated values.", "This dataset contains bonding networks and tolerance ranges for geometric magnetic dimensionality. The data can be searched in the html frontend above, code obtained at the GitHub repository, or the raw data can be downloaded as csv below. The csv data contains the results of 42520 compounds (unique icsd_code) from ICSD FindIt v3.5.0. The csv is semicolon-delimited since some fields contain multiple comma-separated values."]} 2018-05-21T21:12:09Z