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235 results for “spectroscopic”
Circular dichroism spectroscopic and small-angle neutron scattering analysis of alpha-synuclein and bacteriorhodopsin in bicontinuous microemulsions
<p>The membrane proteins (MPs) alpha-synuclein (ASYN) and bacteriorhodopsin (BR) were readily incorporated into bicontinuous microemulsions (BMEs) formed by two microemulsion systems: water/heptane/Aerosol-OT (AOT)/CK-2,13 and water/dodecane/sodium dodecyl sulfate (SDS)/1-pentanol. (CK-2,13 is an alkyl ethoxylate possessing two alkyl tail groups of carbon chain length 2 and 13 and an average degree of ethoxylation of 5.6.) MPs were encapsulated in BMEs through preparation of Winsor-III systems at optimal salinity, with the anionic surfactants AOT and SDS providing the driving force for extraction. Dissolution of ASYN in BMEs greatly increased the former's alpha-helicity, similar to ASYN's behavior in the presence of biomembranes, while BME- and vesicle-encapsulated BR possessed similar secondary structure. Small-angle neutron scattering (SANS) results clearly demonstrated the direct interaction of MPs with the surfactants, resulting in a decrease of surface area per volume for surfactant monolayers due to decreased<span> surfactant efficiency. The SANS signal for ASYN was isolated through the use of neutron contrast matching for the surfactants through partial deuteration of water and oil</span><span><span>, one of the first reports</span></span><span> of contrast matching </span><span><span>for</span></span><span> BMEs in the literature. The SANS results of the contrast matched sample reflected similar aggregation for ASYN in BMEs as was reported previously for vesicles and SDS solution. </span><span><span>This study</span></span><span> demonstrate</span><span><span>s</span></span><span> the potential use of BMEs as MP host systems for conducting biochemical reactions such as the conversion of sunlight into adenosine triphosphate (ATP) by BR and studyi</span>ng fundamental behavior of MPs, such as the role of ASYN dysfunction in Parkinson's disease, as well as for isolation and purification of MPs via Winsor-III -based extraction.</p>
Raw spectroscopic data for "Cage effects control the mechanism of methane hydroxylation in zeolites"
<p>This Excel spreadsheet contains all Mössbauer and resonance Raman data presented in the main text of Snyder et al., Science 2021.</p>
Spectroscopical data for All-Sky Faint DA White Dwarf Spectrophotometric Standards
<p>Auxiliary data files for Axelrod et al. 2023 (in prep.).</p> <ul> <li>"HST_passbands" - Hubble Space Telescope photometric filter passthroughs. First column is vacuum wavelength in nm, second column is response.</li> <li>"SED" - calibrated spectral flux density distributions. First column is vacuum wavelength in Angstrom, second column is SED in erg/sec/cm**2/Angstrom.</li> <li>"Tables" - paper tables in LaTeX.</li> </ul>
Photophysical and Spectroscopic dataset for Ag–In–Zn–S Quaternary Nanocrystals Prepared from InCl2 Precursor as Visible Light Photocatalysts of Aromatic Aldehyde Photoreduction
<p>(1) Energy-dispersive spectra of alloyed Ag-In-Zn-S nanocrystals before (Ag<sub>1.0</sub>In<sub>1.5</sub>Zn<sub>0.3</sub>S<sub>3.3</sub>(S<sub>3.0</sub>) (R) and Ag<sub>1.0</sub>In<sub>10.3</sub>Zn<sub>12.4</sub>S<sub>11.8</sub>(S<sub>28.3</sub>) (G)) and after the exchange of initial capping ligands for 11-mercaptoundecanoic acid (Ag<sub>1.0</sub>In<sub>1.3</sub>Zn<sub>0.5</sub>S<sub>3.3</sub>(S<sub>3.0</sub>) (R-MUA) and (Ag<sub>1.0</sub>In<sub>2.7</sub>Zn<sub>30.0</sub>S<sub>90.0</sub>(S<sub>34.5</sub>) (G-MUA)).</p> <p>(2) HR-TEM images of Ag<sub>1.0</sub>In<sub>1.5</sub>Zn<sub>0.3</sub>S<sub>3.3</sub>(S<sub>3.0</sub>) (R) and Ag<sub>1.0</sub>In<sub>10.3</sub>Zn<sub>12.4</sub>S<sub>11.8</sub>(S<sub>28.3</sub>) (G) alloyed nanocrystals.</p> <p>(3) UV-vis-NIR spectra of toluene dispersion of Ag<sub>1.0</sub>In<sub>1.5</sub>Zn<sub>0.3</sub>S<sub>3.3</sub>(S<sub>3.0</sub>) (R), Ag<sub>1.0</sub>In<sub>10.3</sub>Zn<sub>12.4</sub>S<sub>11.8</sub>(S<sub>28.3</sub>) (G) and water dispersion of Ag<sub>1.0</sub>In<sub>1.3</sub>Zn<sub>0.5</sub>S<sub>3.3</sub>(S<sub>3.0</sub>) (R-MUA), Ag<sub>1.0</sub>In<sub>2.7</sub>Zn<sub>30.0</sub>S<sub>90.0</sub>(S<sub>34.5</sub>) (G-MUA) nanocrystals.</p> <p>(4) Photoluminescence excitation and emission spectra of toluene dispersion of Ag<sub>1.0</sub>In<sub>1.5</sub>Zn<sub>0.3</sub>S<sub>3.3</sub>(S<sub>3.0</sub>) (R), Ag<sub>1.0</sub>In<sub>10.3</sub>Zn<sub>12.4</sub>S<sub>11.8</sub>(S<sub>28.3</sub>) (G) nanocrystals and the corresponding spectra of water dispersion of Ag<sub>1.0</sub>In<sub>1.3</sub>Zn<sub>0.5</sub>S<sub>3.3</sub>(S<sub>3.0</sub>) (R-MUA), Ag<sub>1.0</sub>In<sub>2.7</sub>Zn<sub>30.0</sub>S<sub>90.0</sub>(S<sub>34.5</sub>) (G-MUA) nanocrystals.</p> <p>(5) Photoluminescence decay curves of toluene dispersion of Ag<sub>1.0</sub>In<sub>1.5</sub>Zn<sub>0.3</sub>S<sub>3.3</sub>(S<sub>3.0</sub>) (R), Ag<sub>1.0</sub>In<sub>10.3</sub>Zn<sub>12.4</sub>S<sub>11.8</sub>(S<sub>28.3</sub>) (G) and water dispersion of Ag<sub>1.0</sub>In<sub>1.3</sub>Zn<sub>0.5</sub>S<sub>3.3</sub>(S<sub>3.0</sub>) (R-MUA), Ag<sub>1.0</sub>In<sub>2.7</sub>Zn<sub>30.0</sub>S<sub>90.0</sub>(S<sub>34.5</sub>) (G-MUA) nanocrystals.</p> <p>(6) XPS survey and high-resolution spectra of alloyed Ag-In-Zn-S nanocrystals before Ag<sub>1.0</sub>In<sub>1.5</sub>Zn<sub>0.3</sub>S<sub>3.3</sub>(S<sub>3.0</sub>) (R) and Ag<sub>1.0</sub>In<sub>10.3</sub>Zn<sub>12.4</sub>S<sub>11.8</sub>(S<sub>28.3</sub>) (G) and after the exchange of initial capping ligands for 11-mercaptoundecanoic acid (Ag<sub>1.0</sub>In<sub>1.3</sub>Zn<sub>0.5</sub>S<sub>3.3</sub>(S<sub>3.0</sub>) (R-MUA) and Ag<sub>1.0</sub>In<sub>2.7</sub>Zn<sub>30.0</sub>S<sub>90.0</sub>(S<sub>34.5</sub>) (G-MUA)).</p> <p>(7) <sup>1</sup>H, <sup>1</sup>H-<sup>1</sup>H COSY and <sup>13</sup>C, <sup>1</sup>H-<sup>13</sup>C HMQC NMR spectra of the photocatalytic reduction reaction mixture used for the photocatalytic reduction of 4-chlorobenzaldehyde and furfural.</p> <p>(8) GC chromatogram of the photocatalytic reduction reaction mixture used for photocatalytic reduction of 4-chlorobenzaldehyde.</p> <p>(9) DMPO spin-trapping EPR spectra of toluene dispersion of Ag<sub>1.0</sub>In<sub>1.5</sub>Zn<sub>0.3</sub>S<sub>3.3</sub>(S<sub>3.0</sub>) (R), Ag<sub>1.0</sub>In<sub>10.3</sub>Zn<sub>12.4</sub>S<sub>11.8</sub>(S<sub>28.3</sub>) (G) nanocrystals and reaction mixture used for the photocatalytic reduction of furfural.</p> <p> </p> <p>This work was supported by the National Science Centre of Poland, Grant No. 2022/45/B/ST5/02120.</p>
Fig. 2. A in Structure elucidation and absolute configuration of metabolites from the soil-derived fungus Dictyosporium digitatum using spectroscopic and computational methods
Fig. 2. A: Key HMBC and COSY correlations of 1. B: Key NOESY correlations of 1. C: Mosher's ester analysis of MTPA-1 (irregular ΔδS−R signs in bold). D: Key HMBC and COSY correlations for dictyosporin C (3). E: Key NOESY correlations of 3. F: Octant rules applied for 3. G: Key HMBC and COSY correlations of dictyosporin D (4). H: Key NOESY correlations of 4. I: Experimental ECD spectrum of 4 and calculated ECD spectra of (1S, 10S)-4 and (1R, 10R)-4.
A Magnetic Resonance Spectroscopic Examination of Children and Adolescents Taking Riluzole for Obsessive-Compulsive Disorder
ClinicalTrials.gov study NCT01019967. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Near-infrared Spectroscopic Measurement in Complex Regional Pain Syndrome
ClinicalTrials.gov study NCT01586377. IPD Sharing: Not stated. Countries: 1. Publications: 10.
Urothelial Cancer Tumor Bio-markers and Physical-spectroscopic Characteristic
ClinicalTrials.gov study NCT04770974. IPD Sharing: NO. Countries: 1. Publications: 1.
Functional Near Infra-Red Spectroscopic Study of Central Auditory System Cortical Functional Reorganization
ClinicalTrials.gov study NCT04043910. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Nuclear Magnetic Resonance Spectroscopic Analysis of Urinary Metabolome in Sarcoidosis (RMN-SARCURINES)
ClinicalTrials.gov study NCT05181930. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Pilot Study of 1H-Nuclear Magnetic Resonance Spectroscopic Imaging in Pediatric Patients With Primary and Metastatic Brain Tumors
ClinicalTrials.gov study NCT00001574. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Development of Magnetic Resonance Spectroscopic Imaging Techniques for Imaging Metabolites in Human Brain and Muscle
ClinicalTrials.gov study NCT01266577. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Spectroscopic and Diffusion Weighted Analysis of the Effects of Dexamethasone on High Altitude Cerebral Oedema (HACE)
ClinicalTrials.gov study NCT03341676. IPD Sharing: NO. Countries: 1. Publications: 1.
(1)H-Nuclear Magnetic Resonance Spectroscopic Imaging of the Brain in Patients Who Receive Neurotoxic Therapy
ClinicalTrials.gov study NCT00001807. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Circular dichroism spectroscopic and small-angle neutron scattering analysis of alpha-synuclein and bacteriorhodopsin in bicontinuous microemulsions
Open the record for dataset details and reuse information.
Molecular, spectroscopic and thermochemical characterization of C2Cl3, C2F3 and C2Br3 radicals and related species
Open the record for dataset details and reuse information.
Figure 3 from: Dovhanyk V, Mahlovanyy A, Harkov S, Synytsa V, Hrynovets V, Hrynovets I, Chaban I, Lelyukh M (2020) Spectroscopic criteria for early diagnosis of changes in the mineral and organic matrix of hard dental tissues. Pharmacia 67(1): 5-12. https://doi.org/10.3897/pharmacia.67.e35126
Figure 3 The infrared spectrum of enamel after the action of bleaching preparations with different concentrations.
Figure 2 from: Dovhanyk V, Mahlovanyy A, Harkov S, Synytsa V, Hrynovets V, Hrynovets I, Chaban I, Lelyukh M (2020) Spectroscopic criteria for early diagnosis of changes in the mineral and organic matrix of hard dental tissues. Pharmacia 67(1): 5-12. https://doi.org/10.3897/pharmacia.67.e35126
Figure 2 The infrared spectrum of enamel after treatment with bleaching preparations with different CP concentrations and performed remineralizing therapy.
Data from: A multiscale vibrational spectroscopic approach for identification and biochemical characterization of pollen
Background: Analysis of pollen grains reveals valuable information on biology, ecology, forensics, climate change, insect migration, food sources and aeroallergens. Vibrational (infrared and Raman) spectroscopies offer chemical characterization of pollen via identifiable spectral features without any sample pretreatment. We have compared the level of chemical information that can be obtained by different multiscale vibrational spectroscopic techniques. Methodology: Pollen from 15 different species of Pinales (conifers) were measured by seven infrared and Raman methodologies. In order to obtain infrared spectra, both reflectance and transmission measurements were performed on ground and intact pollen grains (bulk measurements), in addition, infrared spectra were obtained by microspectroscopy of multigrain and single pollen grain measurements. For Raman microspectroscopy measurements, spectra were obtained from the same pollen grains by focusing two different substructures of pollen grain. The spectral data from the seven methodologies were integrated into one data model by the Consensus Principal Component Analysis, in order to obtain the relations between the molecular signatures traced by different techniques. Results: The vibrational spectroscopy enabled biochemical characterization of pollen and detection of phylogenetic variation. The spectral differences were clearly connected to specific chemical constituents, such as lipids, carbohydrates, carotenoids and sporopollenins. The extensive differences between pollen of Cedrus and the rest of Pinaceae family were unambiguously connected with molecular composition of sporopollenins in pollen grain wall, while pollen of Picea has apparently higher concentration of carotenoids than the rest of the family. It is shown that vibrational methodologies have great potential for systematic collection of data on ecosystems and that the obtained phylogenetic variation can be well explained by the biochemical composition of pollen. Out of the seven tested methodologies, the best taxonomical differentiation of pollen was obtained by infrared measurements on bulk samples, as well as by Raman microspectroscopy measurements of the corpus region of the pollen grain. Raman microspectroscopy measurements indicate that measurement area, as well as the depth of focus, can have crucial influence on the obtained data.
Figure 2 from: Abarova S, Stoitchkova K, Tzonev S, Argirova M, Yancheva D, Anastassova N, Tenchov B (2024) Spectroscopic and thermodynamic characterization of the interaction of a new synthesized antitumor drug candidate 2H4MBBH with human serum albumin. Pharmacia 71: 1-5. https://doi.org/10.3897/pharmacia.71.e112385
Figure 2 Fluorescence titration curve of HSA (4 µM) with the 2H4MBBH in saline at 15 °C and 25 °C. Different curves correspond to 2H4MBBH concentrations of 0, 10, 20, 30, 40, 50 µM, respectively.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.