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string
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int32
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float64
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float64
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float64
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2025-04-17T17:56:16
DS_xrfpxtaioi75_0
1
Gaussian 09
DFT-M06-L
-7,422.091441
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C7H10
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2025-04-16T22:03:29
DS_xrfpxtaioi75_0
1
Gaussian 09
DFT-M06-L
-24,817.844648
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2025-04-16T16:55:24
DS_xrfpxtaioi75_0
1
Gaussian 09
DFT-M06-L
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2025-04-16T16:06:23
DS_xrfpxtaioi75_0
1
Gaussian 09
DFT-M06-L
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2025-04-16T21:56:50
DS_xrfpxtaioi75_0
1
Gaussian 09
DFT-M06-L
-2,138.660058
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PO_1090193375020087785611269
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2025-04-16T18:29:46
DS_xrfpxtaioi75_0
1
Gaussian 09
DFT-M06-L
-31,576.598611
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C26H36N2Y
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2025-04-16T16:54:00
DS_xrfpxtaioi75_0
1
Gaussian 09
DFT-M06-L
-33,715.013164
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2025-04-16T16:44:56
DS_xrfpxtaioi75_0
1
Gaussian 09
DFT-M06-L
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data/MD/5202/MD_1086845055867124744315202.json
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PO_5376323361652185538132442
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2025-04-16T18:08:39
DS_xrfpxtaioi75_0
1
Gaussian 09
DFT-M06-L
-25,887.844089
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C22H33NY
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DS_xrfpxtaioi75_0
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DS_xrfpxtaioi75_0
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DS_xrfpxtaioi75_0
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DS_xrfpxtaioi75_0
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DS_xrfpxtaioi75_0
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DS_xrfpxtaioi75_0
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DS_xrfpxtaioi75_0
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2025-04-16T16:32:50
DS_xrfpxtaioi75_0
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DFT-M06-L
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2025-04-16T22:04:30
DS_xrfpxtaioi75_0
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Gaussian 09
DFT-M06-L
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2025-04-16T19:49:42
DS_xrfpxtaioi75_0
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DFT-M06-L
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2025-04-16T21:14:40
DS_xrfpxtaioi75_0
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2025-04-16T20:23:59
DS_xrfpxtaioi75_0
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Gaussian 09
DFT-M06-L
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DS_xrfpxtaioi75_0
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DS_xrfpxtaioi75_0
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2025-04-16T18:44:30
DS_xrfpxtaioi75_0
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DS_xrfpxtaioi75_0
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DS_xrfpxtaioi75_0
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DS_xrfpxtaioi75_0
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2025-04-16T21:51:46
DS_xrfpxtaioi75_0
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2025-04-16T18:40:27
DS_xrfpxtaioi75_0
1
Gaussian 09
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2025-04-16T17:47:42
DS_xrfpxtaioi75_0
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End of preview. Expand in Data Studio

Cite this dataset Zhou, G., Luo, G., Kang, X., Hou, Z., and Luo, Y. Yttrium-catalyzed benzylic C-H alkylations of alkylpyridines with olefins. ColabFit, 2023. https://doi.org/10.60732/445f826b

This dataset has been curated and formatted for the ColabFit Exchange

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Dataset Name

Yttrium-catalyzed benzylic C-H alkylations of alkylpyridines with olefins

Description

This data was assembled to investigate rare-earth-catalyzed benzylic C(sp3)-H addition of pyridines to olefins. All calculations were performed with the Gaussian 09 software package. The B3PW91 functional was used for geometric optimization without any symmetric constraints. Each optimized structure was subsequently analyzed by harmonic vibrational frequencies at the same level of theory for characterization of a minimum (NImag = 0) or a transition state (NImag = 1) to obtain the thermodynamic data. The 6-31G(d) basis set was used for C, H, and N atoms, and Stuttgart/Dresden relativistic effective core potentials (RECPs) as well as the associated valence basis sets were used for the Y atom. To obtain more accurate energies, single-point energy calculations were performed with a larger basis set. In such single-point calculations, the M06-L functional, which often shows good performance in the treatment of transition-metal systems, was used together with the CPCM solvation model for consideration of the toluene solvation effect. The same basis set together with associated pseudopotentials as in geometry optimization was used for the Y atom, and the 6-311+G(d,p) basis set was used for the remaining atoms.

Dataset authors

Guangli Zhou, Gen Luo, Xiaohui Kang, Zhaomin Hou, Yi Luo

Publication

https://doi.org/10.1021/acs.organomet.8b00397

Original data link

https://doi.org/10.1021/acs.organomet.8b00397.s002

License

CC-BY-4.0

Number of unique molecular configurations

58

Number of atoms

3514

Elements included

C, H, N, Y

Properties included

energy


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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