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We demonstrate that a pentavalent phosphorous compound, tetraarylhydrophosphorane, is capable of catalyzing 1,4-reduction of α,β-unsaturated ketones in the presence of pinacolborane. The structure and properties of tetraarylhydrophosphorane and its participation in the chemoselective 1,4-reduction were elucidated through both experimental and theoretical approaches.

Dataset includes structural and Raman spectroscopic data obtained from the Nakaguro Serpentinite and the Kogurisu Unit of the Cretaceous Shimanto Accretionary Complex in the central Kii Peninsula, SW Japan. An open file in “1. Orientation data” are orientation data including the foliation in the Kogurisu Unit obtained from the Takami River Section, the boundary between the Nakaguro Serpentinite (altered to the talc rock) and the Kogurisu Unit from the sites A and B in the Takami River Section, talc veins in the Nakaguro Serpentinite from the site A, and carbonate veins in the metasomatized basalt block of the Kogurisu Unit from the sites A and B. The vein data can be analyzed by the stress inversion method (Yamaji & Sato, J. Struct. Geol., 2011, https://doi.org/10.1016/j.jsg.2011.05.006) using a GArcmB software (Yamaji, Isl. Arc, 2016, https://doi.org/10.1111/iar.12135). Open files in "2. Srp Raman data" are Raman spectrum data of serpentine from the Nakaguro Serpentinite. Open files in “3. RSCM data” are Raman carbonaceous-material spectrum data from a pelitic phyllite of the Kogurisu Unit. The data can be analyzed using the code proposed by Kaneki and Kouketsu (Isl. Arc, 2022, https://doi.org/10.1111/iar.12467) or PeakFit ver. 4.12. All open file data have been used in Shimura et al. (submitted to Tectonics).

Dataset includes structural and Raman spectroscopic data obtained from the Nakaguro Serpentinite and the Kogurisu Unit of the Cretaceous Shimanto Accretionary Complex in the central Kii Peninsula, SW Japan. An open file in “1. Orientation data” are orientation data including the foliation in the Kogurisu Unit obtained from the Takami River Section, the boundary between the Nakaguro Serpentinite (altered to the talc rock) and the Kogurisu Unit from the sites A and B in the Takami River Section, talc veins in the Nakaguro Serpentinite from the site A, and carbonate veins in the metasomatized basalt block of the Kogurisu Unit from the sites A and B. The vein data can be analyzed by the stress inversion method (Yamaji & Sato, J. Struct. Geol., 2011, https://doi.org/10.1016/j.jsg.2011.05.006) using a GArcmB software (Yamaji, Isl. Arc, 2016, https://doi.org/10.1111/iar.12135). Open files in "2. Srp Raman data" are Raman spectrum data of serpentine from the Nakaguro Serpentinite. Open files in “3. RSCM data” are Raman carbonaceous-material spectrum data from a pelitic phyllite of the Kogurisu Unit. The data can be analyzed using the code proposed by Kaneki and Kouketsu (Isl. Arc, 2022, https://doi.org/10.1111/iar.12467) or PeakFit ver. 4.12. All open file data have been used in Shimura et al. (submitted to Tectonics).

The following text files tabulate the derived spherical harmonic coefficients and their estimated uncertainties for the figures of Harada et al. (2025):Fig. S1: gauss_lsall_by0_bc0_alt0250.txtFigs. 1, S2, S3: gauss_lsall_byp_bc0_alt0250.txtgauss_lsall_bym_bc0_alt0250.txtFigs. S4, S5: gauss_byp_pdyn0_alt0250.txtgauss_byp_pdyn1_alt0250.txtgauss_bym_pdyn0_alt0250.txtgauss_bym_pdyn1_alt0250.txtFigs. S6, S7, S8:gauss_ls000_by0_bc0_alt0250.txtgauss_ls090_by0_bc0_alt0250.txtgauss_ls180_by0_bc0_alt0250.txtgauss_ls270_by0_bc0_alt0250.txtgauss_ls000_byp_bc0_alt0250.txtgauss_ls090_byp_bc0_alt0250.txtgauss_ls180_byp_bc0_alt0250.txtgauss_ls270_byp_bc0_alt0250.txtgauss_ls000_bym_bc0_alt0250.txtgauss_ls090_bym_bc0_alt0250.txtgauss_ls180_bym_bc0_alt0250.txtgauss_ls270_bym_bc0_alt0250.txtFigs. S9, S10:gauss_lsall_byp_bc1_alt0250.txtgauss_lsall_byp_bc2_alt0250.txtgauss_lsall_bym_bc1_alt0250.txtgauss_lsall_bym_bc2_alt0250.txt

The following text files tabulate the derived spherical harmonic coefficients and their estimated uncertainties for the figures of Harada et al. (2025):Fig. S1: gauss_lsall_by0_bc0_alt0250.txtFigs. 1, S2, S3: gauss_lsall_byp_bc0_alt0250.txtgauss_lsall_bym_bc0_alt0250.txtFigs. S4, S5: gauss_byp_pdyn0_alt0250.txtgauss_byp_pdyn1_alt0250.txtgauss_bym_pdyn0_alt0250.txtgauss_bym_pdyn1_alt0250.txtFigs. S6, S7, S8:gauss_ls000_by0_bc0_alt0250.txtgauss_ls090_by0_bc0_alt0250.txtgauss_ls180_by0_bc0_alt0250.txtgauss_ls270_by0_bc0_alt0250.txtgauss_ls000_byp_bc0_alt0250.txtgauss_ls090_byp_bc0_alt0250.txtgauss_ls180_byp_bc0_alt0250.txtgauss_ls270_byp_bc0_alt0250.txtgauss_ls000_bym_bc0_alt0250.txtgauss_ls090_bym_bc0_alt0250.txtgauss_ls180_bym_bc0_alt0250.txtgauss_ls270_bym_bc0_alt0250.txtFigs. S9, S10:gauss_lsall_byp_bc1_alt0250.txtgauss_lsall_byp_bc2_alt0250.txtgauss_lsall_bym_bc1_alt0250.txtgauss_lsall_bym_bc2_alt0250.txt

The dataset contains key indicators of solar magnetic activity, including sunspot number, sunspot area, and solar plage area, together with the solar proxy indices F10.7, S10.7, Y10.7, and M10.7, as well as their corresponding 81-day running averages. The proxy indices were reconstructed using a hybrid machine learning model, extending continuously from 1826 onward and overlapping with the period of observed values.

The dataset contains key indicators of solar magnetic activity, including sunspot number, sunspot area, and solar plage area, together with the solar proxy indices F10.7, S10.7, Y10.7, and M10.7, as well as their corresponding 81-day running averages. The proxy indices were reconstructed using a hybrid machine learning model, extending continuously from 1826 onward and overlapping with the period of observed values.

This archive contains datasets used in the paper entitled "Contributions of Dust Source Regions to Ice Nucleating Particles in Mixed-Phase Clouds Simulated with a Global Climate–Aerosol Model".

This archive contains datasets used in the paper entitled "Contributions of Dust Source Regions to Ice Nucleating Particles in Mixed-Phase Clouds Simulated with a Global Climate–Aerosol Model".