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91 results for “raman spectroscopy”
Raman Spectroscopy of the Ilmentite – Geikielite Solid Solution
<p>This dataset includes the Raman spectra and associated compositional metadata of nine ilmenite - geikielite mineral samples acquired on a Bruker BRAVO spectrometer.</p>
Raman spectra from "Discrimination of immune cell activation using Raman micro-spectroscopy in an in-vitro & ex-vivo model"
<p>The uploaded files are data from Chaudhary et al, 2021 (Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, Discrimination of immune cell activation using Raman micro-spectroscopy in an in-vitro & ex-vivo model, https://doi.org/10.1016/j.saa.2020.119118).</p> <p>There are two files in .mat format. In one (Preprocessed.mat) the data has been completely pre-processed according to the methods described in the paper.</p> <p>In the second (Unpreprocessed.mat) the data has been calibrated using the methods described in the paper, but has not received further pre-processing.</p> <p>Within both files there are datasets for the spectral measurement from each cell (‘spectra’), together with the treatment which was applied to each sample (‘treatment’) and the wavenumber at which the spectral measurements were made (‘wavenumber’).</p>
Data for Crystallographic orientation mapping of lizardite serpentinite by Raman spectroscopy
<p>The serpentine mineral lizardite displays strong Raman anisotropy in the OH-stretching region, resulting in significant wavenumber shifts (up to c. 14.5 cm <sup>-1</sup>) that depend on the orientation of the impinging excitation laser relative to the crystallographic axes. We quantified the relationship between crystallographic orientation and Raman wavenumber using well-characterised samples of Monte Fico lizardite by applying Raman spectroscopy and electron backscatter diffraction (EBSD) mapping on thin sections of polycrystalline samples and grain mounts of selected single crystals, as well as by a spindle stage Raman study of an oriented cylinder drilled from a single crystal. We demonstrate that the main band in the OH-stretching region undergoes a systematic shift that depends on the inclination of the c-axis of the lizardite crystal. The data are used to derive an empirical relationship between the position of this main band and the c-axis inclination of a measured lizardite crystal: y = 14.5 cos<sup>4 </sup>(0.013 x + 0.02) + (3670 ± 1), where y is the inclination of the c-axis with respect to the normal vector (in degrees) and x the main band position (wavenumber in cm <sup>-1</sup>) in the OH-stretching region. This new method provides a simple and cost-effective technique for measuring and quantifying the crystallographic orientation of lizardite-bearing serpentinite fault rocks, which can be difficult to achieve using EBSD alone. In addition to the samples used to determine the above empirical relationship, we demonstrate the applicability of the technique by mapping the orientations of lizardite in a more complex sample of deformed serpentinite from Elba Island, Italy.</p>
Low-frequency anharmonic couplings in bromoform revealed from 2D Raman-THz spectroscopy: From the liquid to the crystalline phase
<p>Raw data for "Low-frequency anharmonic couplings in bromoform revealed from 2D Raman-THz spectroscopy: From the liquid to the crystalline phase"</p>
Correlative Raman Imaging and Scanning Electron Microscopy: The Role of Single Ga Islands in Surface-Enhanced Raman Spectroscopy of Graphene_experimental dataset
<p>This dataset contains the raw unprocessed data for Piastek et al., Correlative Raman Imaging and Scanning Electron Microscopy: The Role of Single Ga Islands in Surface-Enhanced Raman Spectroscopy of Graphene, <em>J. Phys. Chem. C</em> 2022, 126, 9, 4508–4514. </p>
Data and code for "Coral calcifying fluid aragonite saturation states derived from Raman spectroscopy"
<p>This file contains all the data and code for "Coral calcifying fluid aragonite saturation states derived from Raman spectroscopy" by DeCarlo et al. in Biogeosciences. Run the file, "run.R" in R to reproduce the analysis and create all the figures.</p> <p>Please see the published paper for methods and details: https://www.biogeosciences-discuss.net/bg-2017-194/</p>
Accurate and Rapid Molecular Subgrouping of High-Grade Glioma via Deep Learning-assisted Label-free Fiber-optic Raman Spectroscopy
<p>Dataset for the manuscript "<span>Accurate and Rapid Molecular Subgrouping of High-Grade Glioma via Deep Learning-assisted Label-free </span><span>F</span><span>iber-optic Raman Spectroscopy"</span></p>
Surface Enhanced Raman Spectroscopy and Machine Learning for Identification of Beta-Lactam Antibiotics Resistance Gene Fragment in Bacterial Plasmid
<p>Background: The appearance of antibiotic-resistant bacteria represents a critical medical problem with high risk to patient health. Therefore, simple, express, and reliable methods of antibiotic resistance detection should be developed.</p> <p>Results: In this work, we propose a combination of highly sensitive surface-enhanced Raman spectroscopy (SERS) and machine learning (ML) for the detection of characteristic gene fragments responsible for antibiotic resistance appearance and spreading. To make the detection procedure close to the real case, we used bacterial plasmids as starting biological objects, containing or not the characteristic gene fragment (up to 1:10 ratio), encoding beta-lactam antibiotics resistance. The plasmids were subjected to enzymatic digestion and the created fragments were captured by functional SERS substrates without preliminary (bio)samples separation or purification. Based on subsequent SERS measurements, a database was created for the training and validation of ML.</p> <p>Significance: The reliability of the proposed method was tested on control samples and we showed the possibility of express SEPS-ML detection of bacterial plasmids containing a characteristic gene up to the 10-7 concentration of the initial plasmid, despite the complex composition of the biological sample (i.e. the presence of the excess of alternative plasmids or various biomolecules). The proposed approach provides a good alternative to modern methods for monitoring antibiotic-resistant bacteria and is favored by its simplicity, low detection limit, and the possibility of express and unpretentious analysis.</p>
Immobilized Different Shape Gold Nanostructures on Printing Paper for Lable-Free Surface-enhanced Raman Spectroscopy
<p>Surface Enhanced Raman Spectroscopy (SERS) is spectroscopic technique of a label-free with high selectivity, and sensitivity.</p> <p><strong>Methods and Materials:</strong> Paper-based SERS active substrates with different grade gram per square meter (GSM) were prepared by adsorbing 40 nm spherical GNP and 40nm star-shaped gold nanostructures GNS. Besides the SERS evaluation and optimization, morphological parameters were found to strongly affect the substrates. The developed substrate was tested by the Raman reporter dye Methylene Blue (MB).</p> <p><strong>Results:</strong> These paper-based SERS active substrates are simple to prepare, easy to handle and cheap solid SERS substrates.</p> <p><strong>Conclusion: </strong>GNS with 135 GSM printing paper can easily use as highly active SERS active substrates, with enhancement factor EF= 10<sup>5</sup>.</p>
An analysis of peak fitting in reference material spectra for calibration of Raman spectroscopy instruments (Dataset)
<p>tbd</p> <p>NeXus format</p>
Cubic, hexagonal and tetragonal FeGex phases (x = 1, 1.5, 2): Raman spectroscopy and magnetic properties
<p>Raw data associated to the manuscript “Cubic, hexagonal and tetragonal FeGe<sub>x</sub> phases (x = 1, 1.5, 2): Raman spectroscopy and magnetic properties", <em>CrystEngComm</em> 2021, XXXX, XXX, XXX-XXX</p> <p>Abstract:</p> <p>There is currently an emerging drive to computational materials design and fabrication of the predicted novel materials. One of the keys for developing appropriate fabrication methods is determination of the composition and phase. Here we explore the FeGe system and establish reference Raman signatures for the distinction between the FeGe hexagonal and cubic structures, as well as FeGe<sub>2</sub> and Fe<sub>2</sub>Ge<sub>3</sub> phases. The experimental results are substantiated by first principles lattice dynamics calculations as well as by complementary structural characterizations such as transmission electron microscopy and X-Ray diffraction, along with the magnetic measurements.</p>
Datasets of the article "Sub-millisecond Photoinduced Dynamics of Free and EL222-bound FMN by Stimulated Raman and Visible Absorption Spectroscopies"
<p>Femtosecond-stimulated Raman spectra (FSRS) and visible transient absorption (visTA) spectra of free FMN (flavin mononucleotide), FMN bound to EL222-WT, and FMN bound to EL222-C78A. The dataset includes also the lifetime distributions, decay-associated difference spectra (DADS), and evolution-associated difference spectra (EADS). Please check the README file for more information.</p> <p>If you use any of these data, please cite: </p> <p>Liu, Y.; Chaudhari, A.S.; Chatterjee, A.; Andrikopoulos, P.C.; Picchiotti, A.; Rebarz, M.; Kloz, M.; Lorenz-Fonfria, V.A.; Schneider, B.; Fuertes, G. Sub-Millisecond Photoinduced Dynamics of Free and EL222-Bound FMN by Stimulated Raman and Visible Absorption Spectroscopies. <em>Biomolecules</em> 2023, <em>13</em>, 161. https://doi.org/10.3390/biom13010161</p>
Datasets of the article "Femtosecond-to-nanosecond dynamics of flavin mononucleotide monitored by stimulated Raman spectroscopy and simulations"
<p>Experimental time-resolved femtosecond-stimulated Raman spectra (FSRS) and visible transient absorption (visTA) spectra of flavin mononucleotide (FMN) in water, MES pH=6, and TRIS pH=8 buffers (DATA files). The dataset includes also the amplitudes and evolution-associated difference spectra (EADS) arising from global kinetic analysis using a sequential model. </p> <p>In the DATA files, the first column contains the Stokes shift (in cm<sup>-1</sup>) or wavelength (in nm), and the first row contains the time delays (in seconds).</p> <p>In the AMPLITUDES files, the first column contains the time delays (in seconds), and the first row contains the lifetimes (in seconds).</p> <p>In the EADS files, the first column contains the wavenumbers (in cm<sup>-1</sup>) or wavelength (in nm), and the first row contains the lifetimes (in seconds). Note that the FSRS spectra have been normalized to 1.</p> <p>If you use these datasets please cite:</p> <p>Andrikopoulos, P. C.; Liu, Y.; Picchiotti, A.; Lenngren, N.; Kloz, M.; Chaudhari, A. S.; Precek, M.; Rebarz, M.; Andreasson, J.; Hajdu, J.; Schneider, B.; Fuertes, G.* Femtosecond-to-Nanosecond Dynamics of Flavin Mononucleotide Monitored by Stimulated Raman Spectroscopy and Simulations. <em>Phys. Chem. Chem. Phys. PCCP</em> <strong>2020</strong>, <em>22</em>, 6538–6552.</p>
Molecular in situ monitoring of the pH-triggered response in adaptive polymers by two-dimensional Raman micro-correlation-spectroscopy - Raw Data
<p>Raw data for publication Molecular in situ monitoring of the pH-triggered response in adaptive polymers by two-dimensional Raman micro-correlation-spectroscopy</p>
Probing Hyperbolic and Surface Phonon-Polaritons in 2D Materials Using Raman Spectroscopy
<p>Probing Hyperbolic and Surface Phonon-Polaritons in 2D materials using Raman Spectroscopy<br> Alaric Bergeron, Clément Gradziel, Richard Leonelli, Sébastien Francoeur<br> Published in Nat. Comm. (2023).</p> <p>https://doi.org/10.1038/s41467-023-39809-3</p> <p>Raw spectral data used for the preparation of Figures 1(b-c), 2(b-c) and 3. Please contact the corresponding author at sebastien.francoeur@polymtl.ca for additional information.<br> <br> </p>
Raman Spectroscopy of Monolayer to Bulk PtSe2 Exfoliated Crystals - Supporting data
<p>Data supporting the findings of the publication:</p> <p>M. Tharrault, E. Desgué, D. Carisetti, B. Plaçais, C. Voisin, P. Legagneux, and E. Baudin, Raman spectroscopy of monolayer to bulk ptse2 exfoliated crystals (2023), arXiv:2307.15520.</p> <p> </p> <p>Files available:</p> <p>"Procedure.txt": detailed experimental protocol</p> <p>"sample_name spectrum.csv": the Raman spectra data files, one per sample</p> <p>"sample_name parameters.csv": the Raman spectra fit parameters data files, one per sample</p> <p>"Number of layers attribution.txt": the layer count of each sample</p>
Data from: Pushing Raman spectroscopy over the edge: purported signatures of organic molecules in fossil animals are instrumental artefacts
Open the record for dataset details and reuse information.
Dataset for Surface Enhanced Raman Spectroscopy for quantitative analysis: results of a large-scale European multi-instrument interlaboratory study
<p>This dataset contains all the spectra used in "Surface Enhanced Raman Spectroscopy for quantitative analysis: results of a large-scale European multi-instrument interlaboratory study". Data are available in 2 different formats:</p> <p>- a compressed archive with 1 folder ("Dataset”) cointaining all the 3516 TXT files (1 file = 1 spectrum) uploaded by all participants (all spectra of the Interlaboratory study);</p> <p>- 1 single CSV file (“ILSspectra.csv”) with all the 3516 spectra uploaded by all participants in the form of a table. The data are structured as follow, with each row being 1 spectrum, preceded by metadata: "labcode", "substrate", "laser", "method", "sample", "type", "conc", "batch", "replica". Note that for those spectra starting after 400 cm-1 and/or ending before 2000 cm-1 missing values were expressed as NAs.</p>
Nonresonant Raman spectroscopy of isolated human retina samples complying with laser safety regulations for in vivo measurements
<p>Raman raw data for the paper "Nonresonant Raman spectroscopy of isolated human retina samples complying with laser safety regulations for in vivo measurements"</p> <ul> <li>two sets of unprocessed Raman spectra recorded under restricted conditions as seen in Figure 5(b)</li> <li>each spectrum was recorded at 785 nm with 1 mW laser power and 10 s integration time</li> </ul>
Stimulated Raman photothermal spectroscopy for gas sensing in a hollow-core optical fiber
<p>This folder supplies the raw data and the plot data for the Figs. of 'Stimulated Raman photothermal spectroscopy for gas sensing in a hollow-core optical fiber' by Hanyu Liao, Yan Zhao, etc.</p>
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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.