Published November 14, 2025
| Version v1
Dataset
Open
Data for: Prioritisation of persistent known and unknown chemicals using synthetic accessibility and tandem mass spectrometry
Authors/Creators
Description
This repository contains the training and test sets associated with the paper: "Prioritisation of persistent known and unknown chemicals using synthetic accessibility and tandem mass spectrometry"
Files
CNL External validation set.csv
Files
(207.5 MB)
| Name | Size | Download all |
|---|---|---|
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md5:08ccbbcb9e05fb95d3e956552250c744
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545.2 kB | Preview Download |
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md5:aa1828aa4683e8cd78161c21e656745a
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41.0 MB | Preview Download |
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md5:d775058fd43a0e736e246be0d968553e
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163.8 MB | Preview Download |
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md5:f70bf5e48ef9dddf240646479edd1666
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429.6 kB | Preview Download |
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md5:2e63827e54a67662dbb7e88444aae158
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1.7 MB | Preview Download |
Additional details
Funding
- Australian Research Council
- ARC Training Centre for Hyphenated Analytical Separation Technologies - HyTECH IC220100035
Software
- Repository URL
- https://github.com/tobihul/Ready_Biodegradability_Prediction
- Programming language
- Python , Julia , Dockerfile