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Table 9 for the Study: "Observation of correlation between earthquake triggering of M>4.3 and specific Sun-Moon-Planets positions in the Solar System, from 1600 in Italy." Calandra Stefano

Distribution and probability of σFR indices of the 2nd hypotesis for all 200 earthquakes. Distribution and probability of σFR indices of the 2nd hypotesis, and the time affected in 1 month by the same σFR index present at the time of seismic triggering, for all 3 lines of experimental analysis, for all 200 earthquakes analyzed in the paper "Observation of correlation between earthquake triggering of M>4.3 and specific Sun-Moon-Planets positions in the Solar System, from 1600 in Italy", paragraph 3.02.03. Table 9 shows that the values and σFR indices calculated for the 200 earthquakes are concentrated in very small values. With this result, it is shown that by using these highly concentrated σFR values and indices, 75% of the time of the reference month of 65% earthquakes >M4.3 can be excluded as seismic hazard.

Primary X-ray diffraction data for the study "Femtosecond X-ray snapshots reveal correlated displacements of specific distal atoms in a protein crystal"

The data set contains the primary X-ray diffraction data collected at the FemtoMAX beamline from bovine trypsin crystals at room temperature (motor gony). Every image represents a 150 fs X-ray pulse diffracting on the crystal. The photon energy was 11.15 keV (ΔE/E = 0.01), approximately 1 × 107 photon/pulse.  The images are stored in compressed numpy file format and the float pixels values describe energy in keV as generated by the time-over-threshold technique. The odd numbered images were recorded without a preceding THz pulse and the even numbered images were recorded after a single cycle THz pulse (2.1 THz peak, FWHM 2 THz) with approximately 50 ps delay. The data set also contain the laser delay associated with a rotation position (motor laserdelay, in seconds). Only one laser delay was recorded per step.

Table 10 for the Study: "Correlation Study: Triggering and Magnitude of Earthquakes in Italy (≥M4.3) in Relation to the Positions and Gravitational Forces of the Sun, Moon, and Planets Relative to Earth."

Details of the 200 analyzed earthquakes encompassing values and indices for σFR Parameters A, B, and the percentile of Alert Time across the three Analysis Lines, for Section 3.2.6.It contains the 6 Excel calculation files: 2 excel sheets for each of the 3 lines of analysis.In case of display problems or missing data: the file <a href="https://zenodo.org/api/files/0b63ead2-6802-4089-849b-949758da13fd/Eqs%201-112%20-%20All%20Planets%20FR%20Graphs.xlsx">Eqs 1-112 - All Planets FR Graphs.xlsx</a> is available also on the Drive: <a href="https://docs.google.com/spreadsheets/d/1hxAsh6BZZH70z7C2iBVI4LqNsbl7gCcGmRJIX9CVLUA/edit?usp=sharing">https://docs.google.com/spreadsheets/d/1hxAsh6BZZH70z7C2iBVI4LqNsbl7gCcGmRJIX9CVLUA/edit?usp=sharing</a>the file <a href="https://zenodo.org/api/files/0b63ead2-6802-4089-849b-949758da13fd/Eqs%20113-200%20-%20All%20Planets%20FR%20Graphs.xlsx">Eqs 113-200 - All Planets FR Graphs.xlsx</a> is available also on the Drive: <a href="https://docs.google.com/spreadsheets/d/1bGcgwL5R_GPO3aQO3tdscGFjPrFdIJ-s16yQE9_eMXY/edit?usp=sharing">https://docs.google.com/spreadsheets/d/1bGcgwL5R_GPO3aQO3tdscGFjPrFdIJ-s16yQE9_eMXY/edit?usp=sharing</a>  the file <a href="https://zenodo.org/api/files/0b63ead2-6802-4089-849b-949758da13fd/Eqs%201-112%20-%20Moon%20and%20Sun%20FR%20Graphs.xlsx">Eqs 1-112 - Moon and Sun FR Graphs.xlsx</a> is available also on the Drive: <a href="https://docs.google.com/spreadsheets/d/1CLGRDgp-eyGMUZjvNjIfuxI-7fzUsY0NYs0qyAs1XRE/edit?usp=sharing">https://docs.google.com/spreadsheets/d/1CLGRDgp-eyGMUZjvNjIfuxI-7fzUsY0NYs0qyAs1XRE/edit?usp=sharing</a>the file <a href="https://zenodo.org/api/files/0b63ead2-6802-4089-849b-949758da13fd/Eqs%20113-200%20-%20Moon%20and%20Sun%20FR%20Graphs.xlsx">Eqs 113-200 - Moon and Sun FR Graphs.xlsx</a> is available also on the Drive: <a href="https://docs.google.com/spreadsheets/d/15CYvjS-4-FxKFLcYy4jIKKiFuiWYxSM89zzOliodyFg/edit?usp=sharing">https://docs.google.com/spreadsheets/d/15CYvjS-4-FxKFLcYy4jIKKiFuiWYxSM89zzOliodyFg/edit?usp=sharing</a>the file <a href="https://zenodo.org/api/files/0b63ead2-6802-4089-849b-949758da13fd/Eqs%201-112%20-%20without%20Moon%20and%20Sun%20FR%20Graphs.xlsx">Eqs 1-112 - without Moon and Sun FR Graphs.xlsx</a> is available also on the Drive: <a href="https://docs.google.com/spreadsheets/d/1zzwugZ4ZZzy6vnQP_SBrjjYaL5fjul29CBZS2Qheq_E/edit?usp=sharing">https://docs.google.com/spreadsheets/d/1zzwugZ4ZZzy6vnQP_SBrjjYaL5fjul29CBZS2Qheq_E/edit?usp=sharing</a> the file <a href="https://zenodo.org/api/files/0b63ead2-6802-4089-849b-949758da13fd/Eqs%20113-200%20-%20without%20Moon%20and%20Sun%20FR%20Graphs.xlsx">Eqs 113-200 - without Moon and Sun FR Graphs.xlsx</a> is available also on the Drive: <a href="https://docs.google.com/spreadsheets/d/12phjR1r1pQXqzdclBCbV76nXpne4B9VqksDj4RqgEKw/edit?usp=sharing">https://docs.google.com/spreadsheets/d/12phjR1r1pQXqzdclBCbV76nXpne4B9VqksDj4RqgEKw/edit?usp=sharing</a>

opencc-by-4.0Mar 2023View details →

Table 4 for the Study: "Correlation Study: Triggering and Magnitude of Earthquakes in Italy (≥M4.3) in Relation to the Positions and Gravitational Forces of the Sun, Moon, and Planets Relative to Earth."

Table 5, APPENDIX for the Study: "Correlation Study: Triggering and Magnitude of Earthquakes in Italy (≥M4.3) in Relation to the Positions and Gravitational Forces of the Sun, Moon, and Planets Relative to Earth," for Section 2.10.Contains the list of M>4.3 earthquakes that occurred in Italy from 1600 to 2022 AD and the list of earthquakes analyzed.

Data from : Emergence of tunable periodic density correlations in a Floquet-Bloch system

In quantum gases, two-body interactions are responsible for a variety of instabilities that depend on the characteristics of both trapping and interactions. These instabilities can lead to the appearance of new structures or patterns. We report on the Floquet engineering of such a parametric instability, on a Bose-Einstein condensate held in a time-modulated optical lattice. The modulation triggers a destabilization of the condensate into a state exhibiting a density modulation with a new spatial periodicity. This new crystal-like order, which shares characteristic correlation properties with a supersolid, directly depends on the modulation parameters: the interplay between the Floquet spectrum and interactions generates narrow and adjustable instability regions, leading to the growth, from quantum or thermal fluctuations, of modes with a density modulation non commensurate with the lattice spacing. This study demonstrates the production of metastable exotic states of matter through Floquet engineering, and paves the way for further studies of dissipation in the resulting phase, and of similar phenomena in other geometries.

Shyness and willingness to communicate: Levels, correlations, and perspectives of EFL learners

The file involves the quantitative data obtained after administering McCroskey and Richmond's (1991) shyness and WTC scales.

opennotspecifiedOct 2021View details →

Fig. 5 in Correlational nutritional relationships and interactions between expansive holoparasite Orobanche laxissima and woody hosts on metal-rich soils

Fig. 5. General habit of parasite, its hosts and habitats: A-C – Orobanche laxissima (Orobanchaceae) parasitizes Punica granatum (Lythraceae) in Sighnaghi, B – flowering P. granatum, D-F – O. laxissima parasitizes Fraxinus angustifolia (Oleaceae) near Antoki, E F. angustifolia leaves. Photo by R. Piwowarczyk.

Correlation between LDH/PDH activities ratio and tissue pH in the perfused mouse heart – a potential non-invasive indicator of cardiac pH provided by hyperpolarized magnetic resonance

Primary data for DOI: 10.1002/nbm.4444 NMR in Biomedicine. 2021;34:e4444. Title: Correlation between LDH/PDH activities ratio and tissue pH in the perfused mouse heart – a potential non-invasive indicator of cardiac pH provided by hyperpolarized magnetic resonance Authors: David Shaul, Assad Azar, Gal Sapir, Sivaranjan Uppala, Atara Nardi-Schreiber, Ayelet Gamliel, Jacob Sosna, J. Moshe Gomori, and Rachel Katz-Brull   These primary datasets contain data presented in the above publication and consist of: 1. 31P-NMR spectra 2. Hyperpolarized 13C-NMR spectra Please consult the Archive Guide.

Fig. 7. Linear correlation between experimental and calculated 13C in Discovery of Undescribed Monoterpenoid Polyprenylated Acylphloroglucinols with Immunosuppressive Activities from Hypericum longistylum

Fig. 7. Linear correlation between experimental and calculated 13C NMR chemical shifts of 5 at the B972/pcSseg-2 (A) and mPW1PW91/def2-TZVP (B) levels.

Fig. 5. Linear correlation between experimental and calculated 13C in Discovery of Undescribed Monoterpenoid Polyprenylated Acylphloroglucinols with Immunosuppressive Activities from Hypericum longistylum

Fig. 5. Linear correlation between experimental and calculated 13C NMR chemical shifts of 3 at the B972/pcSseg-2 (A) and mPW1PW91/def2-TZVP (B) levels.

Fig. 3. Linear correlation between experimental and calculated 13C in Discovery of Undescribed Monoterpenoid Polyprenylated Acylphloroglucinols with Immunosuppressive Activities from Hypericum longistylum

Fig. 3. Linear correlation between experimental and calculated 13C NMR chemical shifts of 1 at the B972/pcSseg-2 (A) and mPW1PW91/def2-TZVP (B) levels.

Fig. 3. Linear correlation between the experimental and calculated 13C in Two pairs of undescribed enantiomers isolated from the fungus Penicillium griseofulvum

Fig. 3. Linear correlation between the experimental and calculated 13C NMR chemical shift of 1A and 1B and their compared 13C NMR data (Δδ δ δ). = adj_calcd – expt MG857577) is 99% identical to P. griseofulvum isolate M12 (KX302025.1) and P. griseofulvum strain Yup08 (HQ262520.1).

opencc-by-4.0Jul 2022View details →

Direct strain correlations at the single-atom level in three-dimensional core-shell interface structures

The data and source codes for the paper [H.J., D.H.W., T.L., Y.K., C.J., J.L., H.B., A. J. P., W.T., C.O., P.E., Y.-L.L., S.R., S.W.H., and Y.Y., "Direct strain correlations at the single-atom level in three-dimensional core-shell interface structures", Nat. Commun. 13, 5957 (2022)] are posted below.   Nanomaterials with core-shell architectures are prominent examples of strain-engineered materials. The lattice mismatch between the core and shell materials can cause strong interface strain, which affects the surface structures. Therefore, surface functional properties such as catalytic activities can be designed by fine-tuning the misfit strain at the interface. To precisely control the core-shell effect, it is essential to understand how the surface and interface strains are related at the atomic scale. Here, we elucidate the surface-interface strain relations by determining the full 3D atomic structure of Pd@Pt core-shell nanoparticles at the single-atom level via atomic electron tomography. Full 3D displacement fields and strain profiles of core-shell nanoparticles were obtained, which revealed a direct correlation between the surface and interface strain. The strain distributions show a strong shape-dependent anisotropy, whose nature was further corroborated by molecular statics simulations. From the observed surface strains, the surface oxygen reduction reaction activities were predicted. These findings give a deep understanding of structure-property relationships in strain-engineerable core-shell systems, which can lead to direct control over the resulting catalytic properties.   1. Raw experimental tilt series images for Particle 1 and Particle 2 (Raw tilt series images.zip). 2. Denoised and aligned tilt series images for Particle 1 and Particle 2 (Finalized tilt series images.zip). 3. Finalized tilt angles for Particle 1 and Particle 2 (Finalized tilt angles.zip). 4. 3D tomographic reconstruction for Particle 1 and Particle 2 (Final reconstruction.zip). 5. Final atomic structure for Particle 1 and Particle 2 (Final atomic structure.zip). 6. Indices of surface Pd atoms for Particle 1 and Particle 2 (Indices of surface Pd.zip). 7. Source codes for the assignment of atomic coordinates, displacement/strain calculation and ORR activity calculation (Code_PdPt.zip).   If you use any of the above data or source codes in your publications and/or presentations, our paper should be properly cited: H.J., D.H.W., T.L., Y.K., C.J., J.L., H.B., A. J. P., W.T., C.O., P.E., Y.-L.L., S.R., S.W.H., and Y.Y., "Direct strain correlations at the single-atom level in three-dimensional core-shell interface structures", Nat. Commun. 13, 5957, (2022). If you have any questions regarding the above data or source codes, please contact Yongsoo Yang, Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea. Email: <a href="mailto:yongsoo.yang@kaist.ac.kr">yongsoo.yang@kaist.ac.kr</a>

opennotspecifiedJun 2021View details →

Fig. 4. Linear correlation between the experimental and calculated 13C in Piperazine-2,5-dione derivatives and an α-pyrone polyketide from Penicillium griseofulvum and their immunosuppression activity

Fig. 4. Linear correlation between the experimental and calculated 13C NMR chemical shift of 1-A and 1-B and their compared 13C NMR data (Δδ δ – δ).

opennotspecifiedJul 2021View details →

Fig. 5. Linear correlation between the experimental and calculated 13C NMR chemical shifts for 1A and 1B in (±)-hyperzewalsins A D, four pairs of nor-monocyclic polyprenylated acylphloroglucinols with immunosuppressive activity from hypericum przewalskii maxim

Fig. 5. Linear correlation between the experimental and calculated 13C NMR chemical shifts for 1A and 1B.

opencc-by-4.0Aug 2023View details →

Intersubject correlation tutorial: Example data

This dataset comprises preprocessed fMRI data acquired while participants listened to the "Pie Man" spoken story. The data accompany the manuscript "Measuring shared responses across subjects using intersubject correlation" by Nastase, Gazzola, Hasson, and Keysers: Nastase, S. A., Gazzola, V., Hasson, U., & Keysers, C. (2019). Measuring shared responses across subjects using intersubject correlation. Social Cognitive and Affective Neuroscience, 14(6), 667–685. https://doi.org/10.1093/scan/nsz037 These data are used in a tutorial notebook on intersubject correlation (ISC) analysis located on GitHub: https://github.com/snastase/isc-tutorial

opencc-by-4.0Jul 2021View details →

Evidence for microscopic kurtosis in neural tissue revealed by correlation tensor MRI

Three sample double diffusion encoding (DDE) datasets for three female rat brains acquired using a 9.4T Bruker Biospec scanner equipped with an 86 mm quadrature transmission coil and four-element array reception cryocoil (Rat1_invivo_cti_data.nii, Rat2_invivo_cti_data.nii, Rat3_invivo_cti_data.nii). All animal experiments for the collection of these datasets were preapproved by the institutional and national authorities and carried out according to European Directive 2010/63. DDE data were acquired for 636 pairs of DDE b-values (bvals1.bval and bvals2.bval) and gradient directions (bvecs1.bvec and bvecs2.bvec) according to the DDE protocol for Correlation Tensor MRI (CTI) fitting described by Henriques et al. (Magn Reson Med 2021, doi:10.1002/mrm.28938). For each rat brain dataset, thermal noise from each cryocoil channel was suppressed using the threshold-based PCA denoising algorithm (Henriques et al., bioRxiv 2023, doi:10.1101/2023.03.29.534707). The denoised data was subsequently corrected for Gibbs ringing using the sub-voxel shift algorithm (Kellner et al. Magn Reson Med 2016, doi: 10.1002/mrm.26054) which is implemented in DIPY (Garyfallidis et al., Frontiers in Neuroinformatics 2014, doi: 10.3389/fninf.2014.00008).  The processed diffusion-weighted signals from the four channels were then combined using sum-of-squares. Combined data for different gradient direction pairs were then aligned along the different b-values and directions using a sub-pixel registration technique (Guizar-Sicairos et al., Opt Lett. 2008, doi: 10.1364/ol.33.000156). Full description of these datasets acquisition and preprocessing can be found in its original manuscript (Henriques et al., Magn Reson Med 2021, doi:10.1002/mrm.28938).

opennotspecifiedApr 2021View details →

Fig. 4. Correlations between experimental and calculated 13C in Toonaones A I, limonoids with NLRP3 inflammasome inhibitory activity from Toona ciliata M. Roem

Fig. 4. Correlations between experimental and calculated 13C NMR chemical shifts of (21S)-2 (left) and (21R)-2 (right).

opennotspecifiedApr 2021View details →

Fig. 7. Correlations between experimental and calculated 13C in Toonaones A I, limonoids with NLRP3 inflammasome inhibitory activity from Toona ciliata M. Roem

Fig. 7. Correlations between experimental and calculated 13C NMR chemical shifts of (23S)-5 (left) and (23R)-5 (right).