Published August 18, 2025
| Version v1
Dataset
Open
Research data supporting: "A data driven approach to classify descriptors based on their efficiency in translating noisy trajectories into physically-relevant information".
Authors/Creators
-
1.
Politecnico di Torino
Description
This repository contains the set of data shown in the paper "A data driven approach to classify descriptors based on their efficiency in translating noisy trajectories into physically-relevant information", published on MLST (DOI: 10.1088/2632-2153/adfa66).
Files
ev_space.ipynb
Files
(14.9 MB)
| Name | Size | Download all |
|---|---|---|
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md5:c050c48b94fa7f01e6746a485cdd679e
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5.3 kB | Download |
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md5:7d97d4a788ec354a08cd45596a7a89f1
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4.6 kB | Download |
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md5:b643c2214cc85e40e8dd7deddd78aa6e
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2.0 kB | Download |
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md5:a6601de53eedfa9da02e53a59e2a199b
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2.0 kB | Download |
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md5:d1c1c59f7b13c355bb5e4510bd06fc12
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2.1 kB | Download |
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md5:3846e679f9ed14d642da24098e25b902
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1.6 kB | Download |
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md5:a3742c221e5b6de48249e65230a9f972
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3.3 kB | Download |
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md5:07fc4ee9cddd9baf225f000c68da0aa4
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2.0 kB | Download |
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md5:6761748812b01c6743c5eba0666fccbb
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1.9 kB | Download |
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md5:625fb5320189951efc023dab7289d03b
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6.2 kB | Download |
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md5:4fe6cd8149185c0819f5c2e37c822bac
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473 Bytes | Download |
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md5:16dd4a7ce0dab116e8d361523eeec056
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29.0 kB | Preview 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 |
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md5:cbb9e1d8ba315f07c103aeece7541ec1
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3.0 kB | Download |
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md5:6ba75096cb4d480f504651f2c2bd5661
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423.3 kB | Preview Download |
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md5:d87bec2f6edb3beb6976708b7d6d30a1
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5.1 kB | Download |
Additional details
Funding
Software
- Programming language
- Python , Jupyter Notebook