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1,169 results for “Infrared”
Data from: Remote neurostimulation through an endogenous ion channel using a near infrared light-activatable nanoagonist
<p>The development of noninvasive approaches to precisely control neural activity in mammals is highly desirable. Here we utilized the ion channel TRPA1 as a proof of principle, demonstrating remote near-infrared (NIR) activation of endogenous channels in the neural structures of living mice through an engineered nanoagonist. This achievement enables specific neurostimulation in wild-type, non-genetically modified mice. Initially, target-based screening identified flavins as photopharmacological agonists, allowing for the photoactivation of TRPA1 in sensory neurons upon UVA/blue light illumination. Subsequently, upconversion nanoparticles (UCNPs) were customized with an emission spectrum aligned to flavin absorption and conjugated with flavin adenine dinucleotide, creating a nanoagonist capable of NIR activation of TRPA1. Following the intrathecal injection of the nanoagonist, noninvasive NIR stimulation allows precise bidirectional control of nociception in mice through the remote activation of spinal TRPA1. This study demonstrates a noninvasive NIR neurostimulation method with the potential for adaptation to various endogenous ion channels and neural processes by combining photochemical toolboxes with customized UCNPs.</p>
Fig.1 in Application Of Near-Infrared Reflectance Spectroscopy For Detection Of Acrylamide Content In Potato Crisps And Bread
Fig.1. Predicted acrylamide vs reference acrylamide in bread samples.
Fig.2 in Application Of Near-Infrared Reflectance Spectroscopy For Detection Of Acrylamide Content In Potato Crisps And Bread
Fig.2. Predicted acrylamide vs reference acrylamide in potato crisp samples.
An infrared search for R Coronae Borealis Stars
<p>J-band lightcurves, medium resolution near-IR spectra, spectroscopic classifications and lightcurve and color-based priorities of all sources described in the paper An infrared census of R Coronae Borealis Stars II. </p>
Portable near infrared spectroscopy (NIRS)
Open the record for dataset details and reuse information.
Data and codes for the work: "Quasiparticle dynamics in a superconducting qubit irradiated by a localized infrared source"
<p>All data and codes used for the work can be found here. </p> <p> </p> <ul> <li>For figures 2 and SM6, one must unzip the files and change the directory in the codes accordingly.</li> <li>For figures 3, SM7 and SM8, one should use the file "Figure3_data.h5", already containing the analysis of the raw data of the pulsed experiment, which is also contained inside the zip file.</li> <li>Comsol 6.2 was used to create the simulation file for the sample temperature.</li> </ul>
Experimental verification of field-enhanced molecular vibrational scattering at single infrared antennas -- Dataset
<p>This is the nano-FTIR data set as shown in Figs 3 and 5 of our publication "Experimental verification of field-enhanced molecular vibrational scattering at single infrared antennas" by D. Virmani et al. This data set was acquired with a NeaSNOM microscopy (attocube AG) and can be opened with Gwyddion (https://gwyddion.net/). Please see the files "notes.txt" within the zip file provided for an identification of the individual data sets.</p> <p> </p> <p>nano-FTIR data is provided as interferogram files ending in "Interferograms.txt.txt" within the individual folders containing the string "NF S".<br>Row: not used<br>Column: not used<br>Run: number of interferogram acquisition<br>Depth: pixel number within one interferogram<br>M: not used<br>O0A: amplitude in V of the 0th demodulation order<br>O0P: phase in radians of the 0th demodulation order<br>O1A: amplitude in V of the 1st demodulation order<br>O1P: phase in radians of the 1st demodulation order<br>O2A: amplitude in V of the 2nd demodulation order<br>O2P: phase in radians of the 2nd demodulation order<br>O3A: amplitude in V of the 3rd demodulation order<br>O3P: phase in radians of the 3rd demodulation order<br>O4A: amplitude in V of the 4th demodulation order<br>O4P: phase in radians of the 4th demodulation order<br>O5A: amplitude in V of the 5th demodulation order<br>O5P: phase in radians of the 5th demodulation order</p> <p> </p> <p>Additionally, s-SNOM images for finding the antennas prior to nano-FTIR spectroscopy can be found in the folders containing the string "WL"</p> <p> </p> <p>For help on how to read or interpret these data please refer to the corresponding authors of the paper.</p>
DATASET FOR: A multimodal spectroscopic approach combining mid-infrared and near-infrared for discriminating Gram-positive and Gram-negative bacteria
<h4>Description:</h4> <p>This dataset comprises a comprehensive set of files designed for the analysis and 2D correlation of spectral data, specifically focusing on ATR and NIR spectra. It includes MATLAB scripts and supporting functions necessary to replicate the analysis, as well as the raw datasets used in the study. Below is a detailed description of the included files:</p> <ol> <li> <p><strong>Data Analysis</strong>:</p> <ul> <li><strong>File Name</strong>: <code>Data_Analysis.mlx</code></li> <li><strong>Description</strong>: This MATLAB Live Script file contains the main script used for the classification analysis of the spectral data. It includes steps for preprocessing, analysis, and visualization of the ATR and NIR spectra.</li> </ul> </li> <li> <p><strong>2D Correlation Data Analysis</strong>:</p> <ul> <li><strong>File Name</strong>: <code>Data_Analysis_2Dcorr.mlx</code></li> <li><strong>Description</strong>: This MATLAB Live Script file is similar to the primary analysis script but is specifically tailored for performing 2D correlation analysis on the spectral data. It includes detailed steps and code for executing the 2D correlation.</li> </ul> </li> <li> <p><strong>Functions</strong>:</p> <ul> <li><strong>Folder Name</strong>: <code>Functions</code></li> <li><strong>Description</strong>: This folder contains all the necessary MATLAB function files required to replicate the analyses presented in the scripts. These functions handle various preprocessing steps, calculations, and visualizations.</li> </ul> </li> <li> <p><strong>Datasets</strong>:</p> <ul> <li><strong>File Names</strong>: <code>ATR_dataset.xlsx</code>, <code>NIR_dataset.xlsx</code>, <code>Reference_data.csv</code></li> <li><strong>Description</strong>: These Excel files contain the raw spectral data for ATR and NIR analyses, as well as reference datasets. Each file includes multiple sheets with detailed measurements and metadata.</li> </ul> </li> </ol> <h4>Usage Notes:</h4> <ul> <li><strong>Software Requirements</strong>: <ul> <li>MATLAB is required to run the .mlx files and utilize the functions.</li> <li><strong>PLS_Toolbox</strong>: Necessary for certain preprocessing and analysis steps.</li> <li><strong>MIDAS 2010</strong>: Available at <a href="https://www.mathworks.com/matlabcentral/fileexchange/32384-midas-2010" target="_new" rel="noreferrer">MIDAS 2010</a>, required for the 2D correlation analysis.</li> </ul> </li> <li><strong>Replication</strong>: Users can replicate the analyses by running the <code>Data_Analysis.mlx</code> and <code>Data_Analysis_2Dcorr.mlx</code> scripts in MATLAB, ensuring that the <code>Functions</code> folder is in the MATLAB path.</li> <li><strong>Data Handling</strong>: The datasets are provided in .xlsx format, which can be easily imported into MATLAB or other data analysis software.</li> </ul>
Wide-field Infrared Survey Explorer (WISE) Catalog of Periodic Variable Stars
<p> Wide-field Infrared Survey Explorer (WISE) Catalog of Periodic Variable Stars<br> Xiaodian Chen, Shu Wang, Licai Deng, Richard de Grijs and Ming Yang</p> <p> We have compiled the first all-sky mid-infrared variable-star catalog based on Wide-field<br> Infrared Survey Explorer (WISE) five-year survey data. Requiring more than 100 detections<br> for a given object, 50,282 carefully and robustly selected periodic variables are discovered,<br> of which 34,769 (69%) are new. Most are located in the Galactic plane and near the equatorial<br> poles. A method to classify variables based on their mid-infrared light curves is established<br> using known variable types in the General Catalog of Variable Stars. Careful classification of<br> the new variables results in a tally of 21,427 new EW-type eclipsing binaries, 5654 EA-type <br> eclipsing binaries, 1312 Cepheids, and 1231 RR Lyraes. By comparison with known variables <br> available in the literature, we estimate that the misclassi- fication rate is 5% and 10% for<br> short- and long-period variables, respectively. A detailed comparison of the types, periods, <br> and amplitudes with variables in the Catalina catalog shows that the independently obtained <br> classifications parameters are in excellent agreement. This enlarged sample of variable <br> stars will not only be helpful to study Galactic structure and extinction properties, <br> they can also be used to constrain stellar evolution theory and as potential candidates for<br> the James Webb Space Telescope.<br> <br> These supplementary materials contain ALLWISE and NEOWISE-R single-exposure photometry tables of variables list<br> in Table 2 and 6 of the paper, and light curve figures for the 50,282 periodic variables in Table 2. <br> SourceID is identifier join these attachments to Table 2 and 6.</p> <p>Example: For variable star WISEJ094812.4+093448 in Table 2, the SourceID=170 is adopted to search <br> corresponding single-exposure information in both 'allwise12.txt' and 'neowise12.txt'. </p> <p>File Description:</p> <p>allwise12.txt Single exposure photometry data of variables from ALLWISE.</p> <p> Bytes Format Units Label Explanations<br> ----------------------------------------------------------------------------------------- <br> 1- 8 I5 --- SourceID Internal source identifier <br> 10- 20 F11.7 deg RAdeg Right Ascension in decimal degrees (J2000) <br> 22- 32 F11.7 deg DEdeg Declination in decimal degrees (J2000) <br> 34- 47 F14.8 day MJD Modified Julian date of the mid-point of the observation <br> 49- 54 F6.3 mag W1mag Single exposure WISE W1 (3.35 micron) band magnitude<br> 56- 63 F6.3 mag eW1mag W1 band uncertainty<br> 65- 77 F6.3 mag W2mag Single exposure WISE W2 (4.6 micron) band magnitude <br> 79- 86 F6.3 mag eW1mag W2 band uncertainty<br> -----------------------------------------------------------------------------------------<br> <br> <br> neowise12.txt Single exposure photometry data of variables from NEOWISE-R.</p> <p> Bytes Format Units Label Explanations<br> -----------------------------------------------------------------------------------------<br> 1- 8 I5 --- SourceID Internal source identifier <br> 10- 21 F11.7 deg RAdeg Right Ascension in decimal degrees (J2000) <br> 23- 34 F11.7 deg DEdeg Declination in decimal degrees (J2000) <br> 36- 44 F6.3 mag W1mag Single exposure WISE W1 (3.35 micron) band magnitude<br> 46- 54 F6.3 mag eW1mag W1 band uncertainty<br> 56- 64 F6.3 mag W2mag Single exposure WISE W2 (4.6 micron) band magnitude <br> 66- 74 F6.3 mag eW1mag W2 band uncertainty<br> 76- 90 F14.8 day MJD Modified Julian date of the mid-point of the observation<br> -----------------------------------------------------------------------------------------</p> <p> <br> figure0.zip -- figure23.zip Full figures of 50282 WISE variables. They are divided into 24 <br> packages by the order of Right Ascension.</p>
Atmospheric observations of the water vapour continuum in the near-infrared windows - Data
<p>Dataset for our AMT paper (Atmospheric observations of the water vapour continuum in the near-infrared windows).</p> <p>Included is the best estimate of the continuum optical depth (18 September 2008). the ratio of this best estimate to the corresponding MT_CKD 3.2 optical depth from 18 September 2008, and the CAVIAR-field estimated continuum absorption coefficients using both MT_CKD and CAVIAR-lab. Other data are available from the corresponding author upon request.</p>
Data belonging to "Effect of molecular structure on the infrared signaturesof astronomically relevant PAHs"
<p>The data provided here form the basis of the publication titled:</p> <p>"Effect of molecular structure on the infrared signaturesof astronomically relevant PAHs"</p> <p>Which is published in Astronomy and Astrophysics</p> <p>The paper can be downloaded from:</p> <p>https://www.aanda.org/articles/aa/pdf/2019/01/aa34130-18.pdf</p> <p>The data contain raw spectra, both experimental and computational, mass spectrometric data and Cartesian coordinates of the optimized stuctures molecules studied in this work.</p> <p> </p>
Fig. 4 in Near-infrared spectroscopy and microstructure of the scales of Sabethes (Sabethes) albiprivus (Diptera: Culicidae)
Fig. 4. Localities were the Sabethes albiprivus specimens were collected.
Mid-Infrared Reflectance and Emissivity Spectra of High Porosity Regoliths
<p>This dataset contains laboratory spectra of olivine and pyroxene in the mid-Infrared (MIR; 5-35 micron) wavelength region as described in Martin et al., (in rev). </p> <p>Files are labeled accordingly: mineral_smallest particle size_largest particle size_regolith porosity_measurement type</p> <p>OLV = olivine, PYX=pyroxene</p> <p>r = ambient reflectance, a = ambient emissivity, sae = simulated asteroid environment</p> <p>Example: The file labeled OLV_45_63_10_a.txt contains spectra of olivine, with 45-63 micron particle sizes, has 10% regolith porosity, and was measured in ambient emissivity. </p>
Measuring the Variability of Hydroxyl Emissions in Infrared Sky Spectra using SPIRou: Dataset
<p>Abstract</p> <p>Subtracting the changing sky contribution from the near-infrared (NIR) spectra of faint astronomical<br>objects is challenging and crucial to a wide range of science cases such as estimating the velocity<br>dispersions of dwarf galaxies, studying the gas dynamics in faint galaxies, and accurate redshifts, and<br>any spectroscopic studies of faint targets. Since the sky background varies with time and location, NIR<br>spectral observations, especially those employing fiber spectrometers and targeting extended sources,<br>require frequent sky-only observations for calibration. However, sky subtraction can be optimized<br>with sufficient a priori knowledge of the sky’s variability. In this work, we explore how to optimize sky<br>subtraction by analyzing 1075 high-resolution NIR spectra from the CFHT’s SPIRou on Maunakea,<br>and we estimate the variability of 481 hydroxyl (OH) lines. These spectra were collected during two<br>sets of three nights dedicated to obtaining sky observations every five and a half minutes. During<br>the first set, we observed how the Moon affects the NIR, which has not been accurately measured at<br>these wavelengths. We suggest that if one uses a principal component analysis reconstruction of the<br>sky spectrum and attempts to observe targets at Y JHK mags fainter than ∼15 and attempts a sky<br>subtraction better than 1%, then the Moon contribution must be accounted for at Moon separation<br>distances of at least 10◦. We also identified 126 spectral doublet, or OH lines that split into at least two<br>components, at SPIRou’s resolution. In addition, we used Lomb-Scargle Periodograms and Gaussian<br>process regression to estimate most OH lines vary on similar timescales, which provides a valuable<br>input for IR spectroscopic survey strategies. The data and code developed for this study are publicly<br>available here.</p> <p>Dataset description</p> <p>In total, we collected 1075 sky observations, which spanned from July 28th, 2018 to January 10th, 2022, or approximately 3.5 years. These observations included two sets of three days dedicated to sky measurement where each day, a sky spectrum was observed approximately every 5.5 minutes for 12 hours. These days occurred on December 14th, 15th, and 16th of 2019 and January 22nd, 23rd, and 25th 2020. These 1D extracted and flat fielded sky spectra have a wavelength range of 0.965 − 2.500μm containing 285,377 wavelength bins resampled on a uniform wavelength grid with a step of 1 km/s/pixel. Since the pixels were constant in velocity, the change in wavelength increased from 3x10^−6 − 8x10^−6 μm per pixel. All observations were affected by a steep black body curve starting at 2.1μm, which was caused by thermal emission.</p> <p>We also present a table of doublets identified during this study with the transition, the measured singlet line from Rousselot 2000 (mu0), the doublet lines (mu1 and mu2), and if the line was identified as a doublet (Y/N).</p>
OH mid-infrared emission as a diagnostic of H2O UV photodissociation. III. Application to planet-forming disks
<p>This repository contains the grid of MIRI-MRS synthetic spectra presented in Tabone, van Dishoeck, and Black 2024. In this work, we include in the DALI disk model prompt emission of OH following photodissociation of H2O in its B electronic state by photons at λ < 144 nm. The propensity of forming OH in the A’ symmetric states is taken into account. H2O and OH emission is calculated from 9 to 18 micron and convolved at a spectral resolution of R=2500 to be readily compared with JWST data.</p> <p>The python script plot_model.py can be used to plot a model.</p>
Infrared and Isotope data from cremated human remains
<p>This dataset contains the infrared and isotopic data obtained from recently deceased cremated individuals of known residential history from the UTK Donated Skeletal Collection curated by the Forensic Anthropology Center (Knoxville, Tennessee). By carrying out these measurements on different bones with different turnover rates (i.e., otic capsule of the petrous part of the temporal bone, femur, and rib), we endeavor to reconstruct life histories of recently deceased cremated individuals and gain new insights into cremation practices. The results highlight differences in carbon and oxygen isotopes between different skeletal elements and confirm their potential to gather information about the way a body was burned (e.g. temperatures, fuel used). Strontium concentrations and isotope ratios were also measured to assess the geographical origin of these individuals. The use of strontium isotope ratios, however, seem to have limitations for individuals born in the last few decades due to globalization of consumed food resources. </p>
Reduced atomic models for large-scale computations: Fe XIII near-infrared lines
<p>The tar file contains two directories. One contains the CHIANTI v.8-11 format main files<br>produced relative to a 33 merged states Fe XIII model.</p> <p>The other contains CHIANTI and P-CORONA format files for a 55-states Fe XIII model.</p> <p>In both cases the models were built to obtain accurate emissivities of the Fe XIII near-infrared lines withtin the ground configuration. </p> <p><br>The models are described in Del Zanna and Hebbur Dayananda, 2024, submitted to MNRAS.</p> <p>Information on the CHIANTI programs can be found in chianti-vip.com</p> <p>Information on P-CORONA can be found on https://research.iac.es/proyecto/polmag/pages/codes/p-corona.php</p>
Atmospheric Ammonia (NH3) total columns from the FY-4A Geostationary Interferometric Infrared Sounder (GIIRS)
<p>This dataset includes the ammonia (NH3) total columns (in molecules cm<sup>-2</sup>) obtained from the FY-4A Geostationary Interferometric Infrared Sounder (GIIRS) satellite observations between November 2019 and October 2020. It also includes a an NH3 uncertainty estimate and a cloud flag. Data has been set to NaN when clouds are detected or in the case of poor measurement sensitivity. Description of the product and retrieval method can be found in Clarisse et al. (2021).</p>
Functional near-infrared spectroscopy visually evoked measurements and Autism Questionnaire score in adults and children
<p><strong>Functional near-infrared spectroscopy (fNIRS) visually-evoked data collected from healthy adults and children. We recruited a total of 40 adult participants (20 women, age: 31.05 ± 3.94 (SD) years) and 19 children (5 girls, age: 7.20 ± 3.01 (SD) years). Adult participants filled in the Autistic-traits Quotient (AQ) questionnaire, a 50-items self-administered report validated for the Italian version. The items consist of descriptive statements assessing personal preferences and typical behavior. Since child self-report might be affected by reading and comprehension difficulties, the children's version of Autism Spectrum Quotient (Italian version of AQ-child) was completed by parents. To measure changes in total Hb (THb) concentration and relative oxygenation levels (OHb and DHb) in the occipital cortex during the task, we used a continuous-wave NIRS system with 8 red light-sources operating at 760 nm and 850 nm, and 7 detectors, forming an array of 22 multi-distant channels. </strong></p> <p> </p> <p><strong>The dataset includes 2 '.zip' files containing artifact-free visually-evoked transients HDF data, exported from Homer 3 (https://github.com/BUNPC/Homer3) in '.txt' format. Subfolders correspond to different stimulation conditions, for details refer to this paper [preprint coming soon].</strong></p> <p><strong>Each txt file is named with the corresponding subject code and contains two events [tagged as 1 (baseline) and 2 (stimulus)]. </strong></p> <p><strong>The file 'annotations.csv' contains the following fields:</strong></p> <p><strong>Code [Subjects id name, that corresponds to the filename in the recording folders]</strong></p> <p><strong>Sex [M or F]</strong></p> <p><strong>Valid [1 or 0, 0 means excluded subject]</strong></p> <p><strong>Age [int]</strong></p> <p><strong>CH_exclude [list of excluded channels]</strong></p> <p><strong>CH_Red [ list of channels that did not passed the calibration step]</strong></p> <p><strong>Category [adult or child] </strong></p> <p><strong>Cartoon_fixed [cartoon name]</strong></p> <p><strong>Cartoon_chosen [cartoon name]</strong></p> <p><strong>AQ [global AQ score] </strong></p> <p><strong>AQ_S [ AQ subscale social ] </strong></p> <p><strong>AQ_C [ AQ subscale communication ] </strong></p> <p><strong>AQ_A [ AQ subscale attention] </strong></p> <p><strong>AQ_D [ AQ subscale detail] </strong></p> <p><strong>AQ_I [ AQ subscale imagination] </strong><br> </p> <p> </p> <p> </p> <p> </p>
Sequence-based genome-wide association study of individual milk mid-infrared wavenumbers in mixed-breed dairy cattle
<p>Fourier-transform mid-infrared (FT-MIR) spectroscopy provides a high-throughput and inexpensive method for predicting milk composition and other novel traits from milk samples. Whilst there have been many genome-wide association studies (GWAS) conducted on FT-MIR predicted traits, there have been few GWAS for individual FT-MIR wavenumbers. Here we examine associations between genomic regions and individual FT-MIR wavenumber phenotypes within a population of 38,085 mixed-breed New Zealand dairy cattle with imputed whole-genome sequence. GWAS were conducted for each of 895 individual FT-MIR wavenumber phenotypes and three FT-MIR predicted milk composition traits, and gene annotation and mammary tissue gene expression datasets were employed to identify candidate causative genes and variants. This resulted in the identification of 38 co-locating, co-segregating expression QTL (eQTL), and 31 protein-sequence mutations for FT-MIR wavenumber phenotypes, the latter including a null mutation in <i>ABO</i> that has a potential role in changing milk oligosaccharide profiles. For the candidate causative genes implicated in these analyses, the strength of association between relevant loci and each wavenumber across the mid-infrared spectrum revealed shared association patterns for groups of genomically-distant loci, highlighting clusters of loci linked through their biological roles in lactation and their presumed impacts on the chemical composition of milk.</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.