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PO_1000069354617623821974451
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2025-04-16T18:54:05
DS_s3qsg4c3hyk6_0
1
Gaussian 09
DFT-PBE0
-13,918.673533
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C6H5NO3
C6H5NO3
A6B5C3D
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data/MD/6151/MD_1328053828533783752466151.json
data/MD/3077/MD_7922278058588870672483077.json
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PO_1000077085188896946819685
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2025-04-16T20:58:52
DS_s3qsg4c3hyk6_0
1
Gaussian 09
DFT-PBE0
-13,918.188563
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C6H5NO3
C6H5NO3
A6B5C3D
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data/MD/6151/MD_1328053828533783752466151.json
data/MD/4589/MD_2006609205549715683074589.json
null
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{"basis-set": "6-311G*", "input": {"Integral": "Grid=UltraFine", "SCF": "VeryTight"}, "hash": "1328053828533783752466151858047953172646130339264132668638221079979218335887074736637000313502836461884520749173598178212731509928431074724325188781693247", "id": "MD_1328053828533783752466151"}
PO_1000007103592313685849003
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2025-04-16T20:58:52
DS_s3qsg4c3hyk6_0
1
Gaussian 09
DFT-PBE0
-13,915.871395
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C6H5NO3
C6H5NO3
A6B5C3D
[ "C", "H", "N", "O" ]
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data/MD/6151/MD_1328053828533783752466151.json
data/MD/4039/MD_1094269048284398990874039.json
null
{"conformation-identifier": "S1", "dipole-moment": [1.574544973692906, -0.8490218336171619, -1.8652365122131003], "electronic-spatial-extent": 1245.0291, "isotropic-polarizability": [109.390909, -0.805754509, 89.5041511, 109.390909, -0.805754509, 89.5041511], "mulliken-charges": [[0.155833], [-0.26806], [-0.192073], [-0.046042], [0.442716], [-0.259112], [-0.17039], [-0.219916], [-0.205017], [-0.495605], [0.208231], [0.208785], [0.203793], [0.230892], [0.405964]], "quadrupole-moment": [[-54.7891, 0.9081, -0.0263], [0.9081, -54.5899, 1.9703], [-0.0263, 1.9703, -61.0144]], "rotational-constants": [2.604376, 1.1858847, 0.9352013], "hash": "10942690482843989908740397412893694058120616640809453869973734198625218450960038262583886398448103772606211187896009308364754426245254463663485532597423864", "id": "MD_1094269048284398990874039"}
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PO_1000076341589304124399276
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2025-04-16T17:24:18
DS_s3qsg4c3hyk6_0
1
Gaussian 09
DFT-PBE0
-13,918.699724
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C6H5NO3
C6H5NO3
A6B5C3D
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data/MD/6151/MD_1328053828533783752466151.json
data/MD/0703/MD_4339767609850873500710703.json
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PO_1000099131596056379082286
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2025-04-16T17:21:01
DS_s3qsg4c3hyk6_0
1
Gaussian 09
DFT-PBE0
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DS_s3qsg4c3hyk6_0
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DS_s3qsg4c3hyk6_0
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DS_s3qsg4c3hyk6_0
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Gaussian 09
DFT-PBE0
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2025-04-16T21:37:22
DS_s3qsg4c3hyk6_0
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Gaussian 09
DFT-PBE0
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DS_s3qsg4c3hyk6_0
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DS_s3qsg4c3hyk6_0
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DFT-PBE0
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DS_s3qsg4c3hyk6_0
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Gaussian 09
DFT-PBE0
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DS_s3qsg4c3hyk6_0
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Gaussian 09
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DS_s3qsg4c3hyk6_0
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DS_s3qsg4c3hyk6_0
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DS_s3qsg4c3hyk6_0
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DS_s3qsg4c3hyk6_0
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DFT-PBE0
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2025-04-16T16:51:12
DS_s3qsg4c3hyk6_0
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Gaussian 09
DFT-PBE0
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2025-04-16T15:45:10
DS_s3qsg4c3hyk6_0
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Gaussian 09
DFT-PBE0
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DS_s3qsg4c3hyk6_0
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2025-04-16T15:09:30
DS_s3qsg4c3hyk6_0
1
Gaussian 09
DFT-PBE0
-13,915.537913
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C6H5NO3
C6H5NO3
A6B5C3D
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data/MD/6151/MD_1328053828533783752466151.json
data/MD/3413/MD_1166965559520712381243413.json
null
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End of preview. Expand in Data Studio

Cite this dataset Jr, M. P., Zhang, S., Dral, P. O., and Barbatti, M. WS22 nitrophenol. ColabFit, 2023. https://doi.org/10.60732/d91bf8fd

This dataset has been curated and formatted for the ColabFit Exchange

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https://materials.colabfit.org/id/DS_s3qsg4c3hyk6_0

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Dataset Name

WS22 nitrophenol

Description

Configurations of nitrophenol from WS22. The WS22 database combines Wigner sampling with geometry interpolation to generate 1.18 million molecular geometries equally distributed into 10 independent datasets of flexible organic molecules with varying sizes and chemical complexity. In addition to the potential energy and forces required to construct potential energy surfaces, the WS22 database provides several other quantum chemical properties, all obtained via single-point calculations for each molecular geometry. All quantum chemical calculations were performed with the Gaussian 09 program.

Dataset authors

Max Pinheiro Jr, Shuang Zhang, Pavlo O. Dral, Mario Barbatti

Publication

https://doi.org/10.1038/s41597-023-01998-3

Original data link

https://doi.org/10.5281/zenodo.7032333

License

CC-BY-4.0

Number of unique molecular configurations

119995

Number of atoms

1799925

Elements included

C, H, N, O

Properties included

energy, atomic forces


Usage

  • ds.parquet : Aggregated dataset information.
  • co/ directory: Configuration rows each include a structure, calculated properties, and metadata.
  • cs/ directory : Configuration sets are subsets of configurations grouped by some common characteristic. If cs/ does not exist, no configurations sets have been defined for this dataset.
  • cs_co_map/ directory : The mapping of configurations to configuration sets (if defined).

ColabFit Exchange documentation includes descriptions of content and example code for parsing parquet files:

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