Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Add dataset ACQUITY_UPLC_HSSC18_QTOF_20min #163

Merged
merged 5 commits into from
Oct 14, 2024

Conversation

michaelwitting
Copy link
Owner

This pull request adds a new dataset to the repository. Submission was performed using the WebApp

Copy link

Preprocessing Report

draft_01362

mode raw SMILES standardized SMILES Classyfire classifications descriptors
canonical 134 183 178 183
isomeric 183 183 183 183
nr
entries without rt 0
entries without SMILES 0
entries flagged by QSPR-based validation 20
entry-pairs flagged by retention order-based validation (datasets with identical setups) 0
entry-pairs flagged by retention order-based validation (systematic measurements) 0

Files successfully generated

✔️ RTdata canonical
✔️ RTdata isomeric
✔️ descriptors canonical
✔️ descriptors isomeric
✔️ metadata file
✔️ gradient file
✔️ report canonical
✔️ report isomeric

Copy link

This Pull Request is in "draft" status. When all issues (if any) are addressed, the status can manually be set to "ready for review". Subsequently, the temporary dataset IDs will be replaced with the final ones; then the Pull Request can be merged.

@f-kretschmer f-kretschmer marked this pull request as ready for review October 14, 2024 08:45
Copy link

final IDs have been assigned to submitted datasets: draft_01362 -> 0394
This Pull Request can now be merged!

@f-kretschmer f-kretschmer merged commit 8364810 into master Oct 14, 2024
@f-kretschmer f-kretschmer deleted the new_data_ACQUITY_UPLC_HSSC18_QTOF_20min branch October 14, 2024 08:46
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

Successfully merging this pull request may close these issues.

3 participants