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1,041 results for “Spectroscopy”
Raster Image Correlation Spectroscopy and Brightness Measurements of AtLEA proteins from Arabidopsis thaliana
<p>Temporal sequences of various fluorescent leaves were captured using a confocal scanning microscope (Olympus FV1000 inverted microscope), equipped with a 1.3 NA oil immersion 60X objective and the photon counting detection mode. Utilizing a 488 nm laser at 0.1% power and GFP filters/cubes, each temporal sequence involved the acquisition of 100 frames of 64x64 pixels, with a dwell time of 10 μs (1.76 ms per line, 130.24 ms per frame) and a pixel size of 66 nm (50X digital zoom). The interval between frames was set at 131.6 ms.</p> <p>Five plants were analyzed, each expressing one of four distinct genetic constructs fused to complementary fragments of Yellow Fluorescent Protein: pYFN-4-/5pYFC-4-5 (representing the complete AtLEA4-5 protein), pYFN-4-51-77/pYFC-4-51-77 (associated with the N-terminal region of AtLEA4-5), pYFN-4-578-158/pYFC-4-578-158 (relating to the C-terminal region of AtLEA4-5), and pYFN-pYFC (serving as the control). The raw data (*.oib files) were collected during three imaging sessions within a one-week period:</p> <p>- 220618 raw oib dataset.zip</p> <p>- 220622 raw oib dataset.zip</p> <p>- 220623 raw oib dataset.zip</p> <p>Images were converted to *.tif format using FIJI/ImageJ for further analysis and were archived in "tif dataset RICS NB LEAs.zip," excluding files with excessive movement of biological specimens. These images were then subjected to "Raster Image Correlation Spectroscopy" and "Number and Brightness" techniques for analysis.</p> <p>Notation:</p> <p>- h1, h2, h3, h4, h5: Replicates (plants) expressing one of four specific genetic constructs fused to complementary fragments of Yellow Fluorescent Protein.</p> <p>- 45: Fused to the full-length AtLEA4-5 protein (pYFN-4-/5pYFC-4-5).</p> <p>- 4h: Fused to the N-terminal region of AtLEA4-5 (pYFN-4-51-77/pYFC-4-51-77).</p> <p>- rc: Fused to the C-terminal region of AtLEA4-5 (pYFN-4-578-158/pYFC-4-578-158).</p> <p>- ct: The control condition (pYFN-pYFC).</p>
Spectral and trait data for Rapid estimates of leaf litter chemistry using reflectance spectroscopy
<p>Measuring the chemical traits of leaf litter is important for understanding plants' roles in nutrient cycles, including through nutrient resorption and litter decomposition, but conventional leaf trait measurements are often destructive and labor-intensive. Here, we develop and evaluate the performance of partial least-squares regression (PLSR) models that use reflectance spectra of intact or ground leaves to estimate leaf litter traits, including carbon and nitrogen concentration, carbon fractions, and leaf mass per area (LMA). Our analyses included more than 300 samples of senesced foliage from 11 species of temperate trees, including needleleaf and broadleaf species. Across all samples, we could predict each trait with moderate-to-high accuracy from both intact-leaf litter spectra (validation <em>R<sup>2</sup></em> = 0.543-0.941; %RMSE = 7.49-18.5) and ground-leaf litter spectra (validation <em>R<sup>2</sup></em> = 0.491-0.946; %RMSE = 7.00-19.5). Notably, intact-leaf spectra yielded better predictions of LMA. Our results support the feasibility of building models to estimate multiple chemical traits from leaf litter of a range of species. In particular, the success of intact-leaf spectral models allows non-destructive trait estimation in a matter of seconds, which could enable researchers to measure the same leaves over time in studies of nutrient resorption.</p>
Vibrational coherences in half-broadband 2D electronic spectroscopy: spectral filtering to identify excited state displacements
<p>All data presented in the figures of "Vibrational coherences in half-broadband 2D electronic spectroscopy: spectral filtering to identify excited state displacements".</p>
Dataset of Raman spectroscopy responses for over-the-counter drugs in Paraguay, including acetylsalicylic acid, paracetamol, and ibuprofen.
<p>Spectra of three over-the-counter pharmaceuticals—acetylsalicylic acid, paracetamol, and ibuprofen—were collected at the Faculty of Exact and Natural Sciences of the National University of Asuncion, with the aim of creating a dataset that serves as a reference for Raman responses from different drug manufacturers. This dataset will also provide the scientific community with data that can be used for multivariate analysis and model training.</p> <p>In the data collection phase, spectra were obtained using a Raman spectroscopy system (iRaman 785s model from BWTEK) equipped with a 785 nm excitation laser. Samples were collected from diverse sales points such as pharmacies, shopping centers, and street vendors. Each spectrum was captured at 50% laser power with a measurement time of 1 second and an accumulation of 10 spectra over a range of 150 to 3200 cm-1. This method preserved the integrity of the raw data, which includes a common column for Raman shifts and additional columns for intensities and labels, detailing the activation modes in the Raman spectrum.</p> <p>The data is structured into specific xlsx files for each drug, such as "Paracetamol.xlsx", "acetylsalicylic-acid .xlsx", and "Ibuprofen .xlsx", each containing 50 spectra categorized by the type of pharmaceutical but not by brand. Brand-specific categorization is detailed in separate files like "Paracetamol-trademark .xlsx", where samples are classified using codes such as "Par-A" for different brands. This organization aids the scientific community in using clustering methods to analyze the spectral data and differentiate pharmaceutical brands based on their excipients or binders, with consistent codes across different drugs suggesting common manufacturers for various medications.</p> <p> </p>
Dataset 2 for UV Plasmon-Enhanced Chiroptical Spectroscopy of Membrane-Binding Proteins, June 2024
<p>Scanning electron microscopy images of Al nanostructures</p>
In vivo and in vitro electrochemical impedance spectroscopy analysis of acute and chronic intracranial electrodes
<p>Invasive intracranial electrodes are used in both clinical and research applications for recording and stimulation of brain tissue, providing essential data in acute and chronic contexts. The impedance characteristics of the electrode–tissue interface (ETI) evolve over time and can change dramatically relative to pre-implantation baseline. Understanding how ETI properties contribute to the recording and stimulation characteristics of an electrode can provide valuable insights for users who often do not have access to complex impedance characterizations of their devices. In contrast to the typical method of characterizing electrical impedance at a single frequency, we demonstrate a method for using electrochemical impedance spectroscopy (EIS) to investigate complex characteristics of the ETI of several commonly used acute and chronic electrodes. We also describe precise modeling strategies for verifying the accuracy of our instrumentation and understanding device–solution interactions, both in vivo and in vitro. Included with this publication is a dataset containing both in vitro and in vivo device characterizations, as well as some examples of modeling and error structure analysis results. These data can be used for more detailed interpretation of neural recordings performed on common electrode types, providing a more complete picture of their properties than is often available to users.</p>
Plasma Parameters From Wind Mission Radio Observations Using Quasi-Thermal Noise Spectroscopy
<p>Database of the high-resolution Velocity Diftribution Function (VDF) moments from Wind Thermal Noise Receiver (TNR) using Quasi-Thermal Noise (QTN) Spectroscopy</p>
Assessment of Hydrophilicity/Hydrophobicity in Mesoporous Silica by combining Adsorption, Liquid Intrusion and solid-state NMR spectroscopy
<p>This data publication is based on the metadata and datasets underlying the manuscript "</p> <p><span>Assessment of Hydrophilicity/Hydrophobicity in Mesoporous Silica by Combining Adsorption, Liquid Intrusion, and Solid-State NMR Spectroscopy (</span>"https://doi.org/10.1021/acs.langmuir.3c03516")</p> <p>Included are the datasets used, raw and processed data of Adsorption measurements (Water, Ar 87K), Water Intrusion measurements, solid state MAS NMR measurements. and molecular dynamics simulations. </p>
Fig. 5 in Towards incorporating insect isotope analysis using cavity ring-down spectroscopy into area-wide insect pest management programs
Fig. 5. Cumulative standard deviation of the mean carbon isotope signature of individual moths, field-caught LBAM (circles), mass-reared pink bollworm (squares) and mass-reared LBAM (triangles), analysed using the CM-CRDS module.
Fig. 3 in Towards incorporating insect isotope analysis using cavity ring-down spectroscopy into area-wide insect pest management programs
Fig. 3. Carbon isotope signature of common cutworm leg samples from different moths reared on the artificial laboratory diet or caught in the wild (circles, n = 5, Bars +/- 3 SD). The spermatophore data point (triangle) is the carbon isotope signature of spermatophores dissected from laboratory-reared females mated with field-caught males (n = 5, Bars +/- 3 SD). All samples measured using CM-CRDS.
Fig. 1 in Towards incorporating insect isotope analysis using cavity ring-down spectroscopy into area-wide insect pest management programs
Fig. 1. Carbon isotope ratios of 16 different common dietary components measured using either elemental analysis isotope ratio mass spectrometry (EAIRMS) or combustion module cavity ring down spectrometry (CM-CDRS).
Fig. 2 in Towards incorporating insect isotope analysis using cavity ring-down spectroscopy into area-wide insect pest management programs
Fig. 2. Carbon isotope ratios of 3 populations of the common cutworm measured using either elemental analysis isotope ratio mass spectrometry (EA-IRMS) or combustion module cavity ring down spectrometry (CM-CDRS): Field-caught moths: squares; synthetic diet-reared moths: circles and laboratory-reared on castor diet moths: triangles.
Experiments for detection of Plasmodium berghei infected Anopheles stephensi mosquitoes using near-infrared spectroscopy
<p> </p> <p><strong>Experiments for detection of <em>Plasmodium berghei</em> infected <em>Anopheles stephensi</em> mosquitoes using near-infrared spectroscopy</strong></p> <p>This dataset contains near-infrared spectroscopy (NIRS) measurements on <em>Plasmodium berghei</em> infected <em>Anopheles stephensi</em> mosquitoes reared in the lab together with either oocyst counts or sporozoite counts, correponding to the two experiments undertaken:</p> <ul> <li>Experiment 1 (oocysts), file "NIRSdata2017_Lab_AnSteph_PlasmBerg_oocysts.txt"</li> <li>Experiment 2 (sporozoites), file "NIRSdata2017_Lab_AnSteph_PlasmBerg_sporozoites.txt"</li> </ul> <p>For further details on the experimental setup see: P.M. Esperança, A.M. Blagborough, D.F. Da, F.E. Dowell, T.S. Churcher (2018) "Detection of <em>Plasmodium berghei</em> infected <em>Anopheles stephensi</em> using near-infrared spectroscopy". <em>Parasites and Vector</em>, <strong>11</strong>:377. <a href="https://doi.org/10.1186/s13071-018-2960-z">https://doi.org/10.1186/s13071-018-2960-z</a>.</p> <p>The structure of the data files is as follows:</p> <ul> <li>column 1 (<strong>Scan_ID</strong>): scan identifier</li> <li>column 2 (<strong>Mosquito_ID</strong>): mosquito identifier</li> <li>column 3 (<strong>Replication</strong>): replication identifier</li> <li>column 4 (<strong>Oocysts</strong> or <strong>Sporozoites</strong>): response variable <ul> <li>for the Experiment 1, the oocyst count<em> </em>on a level-scale</li> <li>for the Experiment 2, the sporozoite count on a log-scale: 0 (no sporozoites), 1 (1–10), 2 (11–100), 3 (101–1000), 4 (>1000)</li> </ul> </li> <li>columns 5 to 2155 (<strong>x350</strong> to <strong>x2500</strong>): NIRS absorbance measurements for wavelengths in the range 350 to 2500 nanometers</li> </ul> <p> </p>
Allocation of rhodamine-loaded nanocapsules from blood circulatory system to adjacent tissues assessed in vivo by fluorescence spectroscopy
<p>Modern fluorescent modalities play an important role in the functional diagnostic of various physiological processes in living tissues. Utilizing the fluorescence spectroscopy approach we observe the circulation of fluorescent-labelled nanocapsules with rhodamine tetramethylrhodamine in a microcirculatory blood system. The measurements were conducted transcutaneously on the surface of healthy Wistar rat thighs in vivo. The administration of the preparation capsule suspension with a rhodamine concentration of 5 mg kg−1 of the animal weight resulted in a two-fold increase of fluorescence intensity relative to the baseline level. The dissemination of nanocapsules in the adjacent tissues via the circulatory system was observed and assessed quantitatively. The approach can be used for the transdermal assessment of rhodamine-loaded capsules in vivo.</p>
Optical spectroscopy supporting Chandra observations of Herbig AeBe stars
<p>This is optical data taken by AAVSO observers to support Chandra observations of Herbig AeBe stars. The purpose if this data is to check the accretion rate close in time to the Chandra observations.</p>
Photoelectron spectroscopy data of InP(100) surfaces in contact with water and oxygen
<p>Raw photoelectron spectroscopy data files (XPS and UPS) of InP(100) surfaces before and after adsorption of water and oxygen in ultra-high vacuum. The data was used to produce the graphs in the article M. M. May, H.-J. Lewerenz, and T. Hannappel. “Optical in situ Study of InP(100) Surface Chemistry: Dissociative Adsorption of Water and Oxygen”. <em>Journal of Physical Chemistry C</em> <strong>118</strong>(33) (2014), pp. 19032–19041. <a href="https://doi.org/10.1021/jp502955m">doi:10.1021/jp502955m</a>. Further details can be found in the README.md.</p>
Analysis of heritage stones and model wall paintings by pulsed laser excitation of Raman, laser-induced fluorescence and laser-induced breakdown spectroscopy signals with a hybrid system
<p>Analysis of heritage stone samples, alabaster, gypsum, limestone and marble, and model wall paintings was carried out with a laboratory, hybrid system based on the pulsed laser excitation of Raman, laser-induced fluorescence and laser-induced breakdown spectroscopy signals. The system is based on a nanosecond Q-switched Nd:YAG laser operating at its second (532 nm), third (355 nm) and fourth (266 nm) harmonics and a spectrograph coupled to a time-gated intensified charge coupled device for spectral analysis allowing detection with temporal resolution. For the stone samples, Raman spectra display the characteristic vibration modes of SO<sub>4</sub><sup>2-</sup> of calcium sulfate, in alabaster and gypsum, and of free CO<sub>3</sub><sup>2- </sup>of calcium carbonate, in limestone and marble. Simultaneously acquired laser-induced fluorescence spectra reveal characteristic bands that help to distinguish between heritage stone types. The elemental composition of stone samples is obtained by laser-induced breakdown spectroscopy upon excitation at 355 nm. Spectra of all stone samples reveal their elemental composition that includes Ca, Na, Mn and Sr and the presence of molecular species, such as CN, C<sub>2</sub> and CaO. Additional emission lines, ascribed to Mg, Si, Al and K, appear with different intensities according to the nature of the stone material. Model wall paintings, based on a red pigment, prepared as fresco or mixed with two different binders, were also studied. The complementary information provided by the three spectroscopic modes allows the identification of the pigment as red vermillion and of the different preparations based on the pigment alone or in mixtures with linseed oil and egg yolk binders.</p>
Fig. 2. 1–10 in Near-infrared spectroscopy and microstructure of the scales of Sabethes (Sabethes) albiprivus (Diptera: Culicidae)
Fig. 2. 1–10: Specimens with scales that reflect blue, purple and green; 11–14: Specimens with scales that reflect golden and silver. The scale bars of the dorsal view images (1, 3, 5, 7, 9, 11, 13) represents 1 mm and of the side views of the abdomen (2, 6, 8, 10, 12, 14) indicate 0.5 mm.
Fig. 1 in Near-infrared spectroscopy and microstructure of the scales of Sabethes (Sabethes) albiprivus (Diptera: Culicidae)
Fig. 1. Scanning electron micrograph of a scale on the antepronotum of Sabethes albiprivus. The rectangle indicates where the images were obtained at 10,000× magnification. Legends: ap, apex; lr, longitudinal ridge; pe, pedicel.
Maximizing Relayed 1H Hyperpolarization Transfer by Slow-Fast MAS NMR Spectroscopy
<p>NMR raw data, matlab scripts, and data related to publication: https://doi.org/10.1021/acs.jpca.4c02452.</p> <p>The raw data content is described in the README files provided within the folders.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.