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Update sulfur hessian dataset with create_basic_dataset #403

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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -243,6 +243,7 @@ These are currently used to compute properties of a minimum energy conformation
|`OpenFF NAGL2 ESP Timing Benchmark v1.0` | [2024-09-06-OpenFF-NAGL2-ESP-Timing-Benchmark-v1.0](https://github.com/openforcefield/qca-dataset-submission/tree/master/submissions/2024-09-06-OpenFF-NAGL2-ESP-Timing-Benchmark-v1.0) | Single point ESP calculations for timing/memory benchmarking | 'P', 'S', 'N', 'C', 'Cl', 'F', 'Br', 'O', 'H', 'I' | |
|`OpenFF NAGL2 ESP Timing Benchmark v1.1` | [2024-09-18-OpenFF-NAGL2-ESP-Timing-Benchmark-v1.1](https://github.com/openforcefield/qca-dataset-submission/tree/master/submissions/2024-09-18-OpenFF-NAGL2-ESP-Timing-Benchmark-v1.1) | Single point ESP calculations for timing/memory benchmarking | 'P', 'S', 'N', 'C', 'Cl', 'F', 'Br', 'O', 'H', 'I' | |
|`OpenFF Sulfur Hessian Training Coverage Supplement v1.0` | [2024-09-18-OpenFF-Sulfur-Hessian-Training-Coverage-Supplement-v1.0](https://github.com/openforcefield/qca-dataset-submission/tree/master/submissions/2024-09-18-OpenFF-Sulfur-Hessian-Training-Coverage-Supplement-v1.0) | Additional Hessian training data for Sage sulfur and phosphorus parameters (from ['OpenFF Sulfur Optimization Training Coverage Supplement v1.0'](https://github.com/openforcefield/qca-dataset-submission/tree/master/submissions/2024-09-11-OpenFF-Sulfur-Optimization-Training-Coverage-Supplement-v1.0)) | O, S, C, Cl, P, N, F, Br, H | |
|`OpenFF Sulfur Hessian Training Coverage Supplement v1.1` | [2024-11-08-OpenFF-Sulfur-Hessian-Training-Coverage-Supplement-v1.1](https://github.com/openforcefield/qca-dataset-submission/tree/master/submissions/2024-11-08-OpenFF-Sulfur-Hessian-Training-Coverage-Supplement-v1.1) | Additional Hessian training data for Sage sulfur and phosphorus parameters (from ['OpenFF Sulfur Optimization Training Coverage Supplement v1.0'](https://github.com/openforcefield/qca-dataset-submission/tree/master/submissions/2024-09-11-OpenFF-Sulfur-Optimization-Training-Coverage-Supplement-v1.0)) | O, S, C, Cl, P, N, F, Br, H | |
| `OpenFF Aniline Para Hessian v1.0` | [2024-10-07-OpenFF-Aniline-Para-Hessian-v1.0](https://github.com/openforcefield/qca-dataset-submission/tree/master/submissions/2024-10-07-OpenFF-Aniline-Para-Hessian-v1.0) | Hessian single points for the final molecules in the `OpenFF Aniline Para Opt v1.0` [dataset](https://github.com/openforcefield/qca-dataset-submission/tree/master/submissions/2021-04-02-OpenFF-Aniline-Para-Opt-v1.0) | 'O', 'Cl', 'S', 'Br', 'H', 'F', 'N', 'C' ||
|`OpenFF Gen2 Hessian Dataset Protomers v1.0` | [2024-10-07-OpenFF-Gen2-Hessian-Dataset-Protomers-v1.0](https://github.com/openforcefield/qca-dataset-submission/tree/master/submissions/2024-10-07-OpenFF-Gen2-Hessian-Dataset-Protomers-v1.0/) | Hessian single points for the final molecules in the `OpenFF Gen2 Optimization Dataset Protomers v1.0` [dataset](https://github.com/openforcefield/qca-dataset-submission/tree/master/submissions/2021-12-21-OpenFF-Gen2-Optimization-Set-Protomers) | 'H', 'C', 'Cl', 'P', 'F', 'Br', 'O', 'N', 'S'||
| `MLPepper-RECAP-Optimized-Fragments-Add-Iodines-v1.0` | [2024-10-11-MLPepper-RECAP-Optimized-Fragments-Add-Iodines-v1.0](https://github.com/openforcefield/qca-dataset-submission/tree/master/submissions/2024-10-11-MLPepper-RECAP-Optimized-Fragments-Add-Iodines-v1.0) | Set of diverse iodine containing molecules with a number of calculated electrostatic properties. | Br, Cl, S, B, O, Si, C, N, I, P, H, F| |
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# OpenFF Sulfur Hessian Training Coverage Supplement v1.1

## Description

A basic data set created to improve the training coverage of sulfonic and
phosphonic acids, sulfone, sulfonate, sulfinyl, sulfoximine, sulfonamides,
thioether, and 1,3-thiazole groups. The structures in this data set are the
optimized geometries from `OpenFF Sulfur Optimization Training Coverage
Supplement v1.0`.

## General Information

* Date: 2024-11-08
* Class: OpenFF Optimization Dataset
* Purpose: Improve coverage in Sage
* Name: OpenFF Sulfur Hessian Training Coverage Supplement v1.1
* Number of unique molecules: 129
* Number of filtered molecules: 0
* Number of conformers: 899
* Number of conformers per molecule (min, mean, max): 1, 6.97, 10
* Mean molecular weight: 218.80
* Max molecular weight: 493.37
* Charges: [-2.0, -1.0, 0.0]
* Dataset submitter: Brent Westbrook
* Dataset generator: Brent Westbrook

## QCSubmit Generation Pipeline

* `generate.py`: This script shows how the dataset was prepared.


## QCSubmit Manifest

* `generate.py`: Script describing dataset generation and submission
* `input-environment.yaml`: Environment file used to create the Python environment for the script
* `full-environment.yaml`: Fully-resolved environment used to execute the script
* `opt.toml`: Experimental [qcaide](https://github.com/ntBre/qcaide) input file for defining
variables used throughout the QCA submission process
* `dataset.json.bz2`: Compressed dataset ready for submission
* `dataset.pdf`: Visualization of dataset molecules
* `dataset.smi`: SMILES strings for dataset molecules

## Metadata

* Elements: {O, S, C, Cl, P, N, F, Br, H}
* Spec: default
* basis: DZVP
* implicit_solvent: None
* keywords: {}
* maxiter: 200
* method: B3LYP-D3BJ
* program: psi4
* SCF properties:
* dipole
* quadrupole
* wiberg_lowdin_indices
* mayer_indices

## Changelog
v1.0 included a manual implementation of
`OptimizationResultCollection.create_basic_dataset` that failed to preserve
QCArchive molecule IDs between the optimization and single-point datasets.
Unfortunately, this issue would not have been avoided by that version of
`create_basic_dataset` either. The issue has been fixed in openff-qcsubmit
[version
0.54](https://github.com/openforcefield/openff-qcsubmit/releases/tag/0.54.0), so
the environment has been updated to use this release, and the `generate.py`
script has been updated to use `create_basic_dataset`.
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name: qcarchive-user-submit
channels:
- openeye
- conda-forge
dependencies:
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- wheel=0.44.0=pyhd8ed1ab_0
- widgetsnbextension=4.0.13=pyhd8ed1ab_0
- xmltodict=0.14.2=pyhd8ed1ab_0
- xorg-libice=1.1.1=hb9d3cd8_1
- xorg-libsm=1.2.4=he73a12e_1
- xorg-libx11=1.8.10=h4f16b4b_0
- xorg-libxau=1.0.11=hb9d3cd8_1
- xorg-libxdmcp=1.1.5=hb9d3cd8_0
- xorg-libxext=1.3.6=hb9d3cd8_0
- xorg-libxrender=0.9.11=hb9d3cd8_1
- xorg-libxt=1.3.0=hb9d3cd8_2
- xorg-xorgproto=2024.1=hb9d3cd8_1
- xz=5.2.6=h166bdaf_0
- yaml=0.2.5=h7f98852_2
- zeromq=4.3.5=h3b0a872_6
- zipp=3.20.2=pyhd8ed1ab_0
- zlib=1.3.1=hb9d3cd8_2
- zlib-ng=2.2.2=h5888daf_0
- zstandard=0.23.0=py311hbc35293_1
- zstd=1.5.6=ha6fb4c9_0
- pip:
- amberutils==21.0
- edgembar==0.2
- mmpbsa-py==16.0
- packmol-memgen==2024.2.9
- pdb4amber==22.0
- pymsmt==22.0
- pytraj==2.0.6
- qcaide==0.0.0
- sander==22.0
prefix: /home/brent/mambaforge/envs/qcarchive-user-submit
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