Published June 9, 2025
| Version v1
Dataset
Open
Research data supporting: "Data-driven assessment of optimal spatiotemporal resolutions for information extraction in noisy timeseries data"
Authors/Creators
-
1.
Polytechnic University of Turin
Description
The folder contains the dataset and the codes necessary to perform Optimal resolution analyses.
Each system dataset (gro/xtc/xyz) is intended to be analyzed by 'compute RDF' function which provide the list of cut offs to be use.
Those distances need to be used to compute the different descriptors (LENS/SOAP/PHI).
Onion clusterting can be then be performed on descriptor's timeseries and the different distances ranked with the comparison function.
Files
compute_PHI.ipynb
Files
(1.6 GB)
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md5:da14aef0871642ef16e22175d6d5c468
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1.6 GB | Download |
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md5:1c669b291f45d92d403def70f553f890
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5.2 kB | Download |
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md5:7d9ee6e6688ff36bdc6a228dabae632e
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13.3 kB | Download |
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md5:1d3988fd1a9a0b1b6665e822f323fd22
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25.1 kB | Preview Download |
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md5:4373262b33546d7b2d57dffda46b98a6
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8.5 kB | Download |
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md5:1ec092bbf2c7133efefc2ad042b6d4bb
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3.1 kB | Download |
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md5:f3edc00642b68d7745c7f69f2a18493b
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6.3 kB | Preview Download |
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md5:2fdbc4eee95825bb10941d6f2a542dfb
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1.9 kB | Download |
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md5:0a86bcba701868f478e285e32531ead4
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2.9 kB | Download |
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md5:53c762d8d74dd9b9e45abac5f77df168
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5.6 kB | Download |
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md5:fbabc1bafc7c6a9143613dd8d76180fd
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3.5 kB | Download |
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md5:1770d4b0644c232d77077d9780576527
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38.4 MB | Download |
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md5:0dc008e8f525c0bc301f0e4152fe4674
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565.3 kB | Download |
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md5:68cc744149782f44502fa17bfbe9530a
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13.9 MB | Download |
Additional details
Related works
- Is supplement to
- Preprint: arXiv:2412.13741 (arXiv)
Funding
Software
- Programming language
- Python