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1,169 results for “Infrared”
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>
Data and code for article "Mid-infrared frequency comb via coherent dispersive wave generation in silicon nitride nano-photonic waveguides"
<p>This dataset contains the data presented in the figures of the article "Mid-infrared frequency comb via coherent dispersive wave generation in silicon nitride nano-photonic waveguides" (doi:10.1038/s41566-018-0144-1).</p> <p>The raw data in figures (curved plots) is packaged as an independent OriginLab project file (.opj). </p> <p>The layout of the design of the silicon nitride nano-photonic waveguide is presented. Fabrication process card (shown as a diagram) is provided as well.</p> <p>The source code for simulations presented in the article is also presented.</p>
Experimental Approach to the Study of Anharmonicity in the Infrared Spectrum of Pyrene from 14 to 723 K
<p>Dataset for the article "Experimental Approach to the Study of Anharmonicity in the Infrared Spectrum of Pyrene from 14 to 723 K" (DOI: 10.1021/acs.jpca.8b11016 )</p> <p>- Data folder: data for band positions, widths and integrated intensities, which were derived from the infrared spectra of pyrene embedded in KBr matrices at various temperatures [14-723]K.</p> <p>- Spectra folder: infrared spectra of pyrene embedded in KBr matrices at various temperatures [14-723]K. Subfolder Total_spec: full spectra in the [3200- 650]cm<sup>-1</sup> range. Subfolder region_spec: individual bands at positions given by the folder names in cm<sup>-1</sup>.<br> In both cases, data at low (≤300 K) and high temperatures (≥300 K) are given in the low_temp and high_temp folders.</p> <p>All data is provided in .txt format.</p> <p> </p>
High-throughput Computational Screening of Hydrocarbon Molecules for Long-wavelength Infrared Imaging
<p>This repository contains datasets associated with the paper titled "High-throughput Computational Screening of Hydrocarbon Molecules for Long-wavelength Infrared Imaging," accepted at ACS Materials Letters Journal.</p> <p><strong>Contents:</strong></p> <ol> <li> <p><strong>Optimized XYZ Coordinates:</strong> The hydrocarbon molecules' XYZ coordinates, obtained using the B3LYP functional and the 6-31g(d,p) basis set in Gaussian 16 software, used to simulate the IR spectra (including transition energies and absorption intensities) of the molecules.</p> </li> <li> <p><strong>Broadened Molar Absorptivity IR Spectra:</strong> The dataset's IR spectra, broadened using a Lorentzian band shape with a gamma (half-width at half-height) value of 5 cm⁻¹. Molecules with imaginary frequencies have been excluded.</p> </li> <li> <p><strong>Related SMILES Strings:</strong> Contains SMILES strings for these hydrocarbons.</p> </li> <li> <p><strong>NUMBERS_SMILES.csv:</strong> Provides the associated SMILES string for each numerated XYZ coordinate.</p> </li> </ol> <p>For any inquiries, please contact Dr. Maliheh Shaban Tameh at malihe.shaban<a rel="noreferrer">@gmail.com</a></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.
Supplementary data for "Collision-induced absorptions by pure CO2 in the infrared: New measurements in the 1150–4500 cm−1 spectral range and empirical modeling for applications" published in Icarus. https://doi.org/10.1016/j.icarus.2024.116265
<p>Supplementary data for the paper entitled ""Collision-induced absorptions by pure CO2 in the infrared: New measurements in the 1150–4500 cm−1 spectral range and empirical modeling for applications" published in <em>Icarus</em>. https://doi.org/10.1016/j.icarus.2024.116265</p> <p>These data files contain the coefficients needed to compute the shape of a pure CO2 CIA band at a given temperature (see Eq. (3)) of the paper https://doi.org/10.1016/j.icarus.2024.116265</p> <p>"CIA_shape_coeff.dat" involves a CIA band shape without dimer signatures </p> <p>"CIA_dimer_shape_coeff.dat" involves a CIA band shape with dimer signatures </p> <p>"CIA_Fermi_doublet_shape_coeff.dat" involves the Fermi doublet band shape</p> <p>First column is wavenumber in cm-1, the rest of the columns contain the coefficients.</p>
Dataset: Use of bioresorbable fibers for short-wave infrared spectroscopy using time-domain diffuse optics
Open the record for dataset details and reuse information.
Exploring the potential of Near Infrared Hyperspectral Imaging and chemometrics to discriminate soil seed bank of two timber species central African : Erythrophleum suaveolens (Guill. & Perr.) Brenan, and Erythrophleum ivorense A. Chev.
<p>The data of this study are accessible by sending a request to the corresponding author at the email address: douhch382@gmail.com. <a href="https://doi.org/10.5281/zenodo.13908452" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13908452</a></p>
Plasmonic Heating by Indium Tin Oxide Nanoparticles: Enabling Decoupled Near-Infrared Theranostics.
<p>Dataset corresponding to the experimental results shown in the figures 2 to 5 (four in total) within the original research work entitled "Plasmonic Heating by Indium Tin Oxide Nanoparticles: Enabling Decoupled Near-Infrared Theranostics".</p>
Acid fractionation during carbonate digestion with phosphoric acid – Assessment of two different techniques applied for clumped and stable isotope analysis using a Tuneable Infrared Laser Differential Absorption Spectrometer (TILDAS) [dataset]
<p>Date files : </p> <table> <tbody> <tr> <td> <p>Data 1 (Relationship between Mixing ratio difference of sample and WRG and D638 value).xlsx;Data 2 (Role of bulk isotope composition (δ628 & δ636) on Δ638).xlsx;Data 3 (CDES scale conversion).xlsx;Data 4 (VPDB scale conversion for d628 and d636).xlsx;Data 5 (Reference material values).xlsx;Data 6 (Break seal method acid fractionation factor of calcite).xlsx;Data 7 (IAB method acid fractionation factor of calcite).xlsx</p> </td> </tr> </tbody> </table>
Infrared Spectra and Optical Constants of Amorphous Isocyanic Acid, Formaldehyde, and Formic Acid
<p>Infrared spectra and optical constants from Hudson et al., 2024, ApJ 977 (1), 130. DOI: 10.3847/1538-4357/ad8c43</p>
Data release for paper "The Araucaria Project: Deep near-infrared photometric maps of Local and Sculptor Group galaxies. I. Carina, Fornax, Sculptor"
<p>Deep near-infrared J- and K-band photometry of three Local Group dwarf spheroidal galaxies: Fornax, Carina, and Sculptor, is made available for the community. Until now, these data have only been used by the Araucaria Project to determine distances using the tip of the red giant and RR Lyrae stars. Now, we present the entire data collection in a form of a database, consisting of accurate J- and K-band magnitudes, sky coordinates, ellipticity measurements, and timestamps of observations, complemented by stars' loci in their reference images. Depth of our photometry reaches about 22 mag at 5 sigma level, and is comparable to NIR surveys, like the UKIRT Infrared Deep Sky Survey (UKIDSS) or the VISTA Hemisphere Survey (VHS), and small overlap with VHS and no overlap with UKIDSS makes our database a unique source of quality photometry.</p> <p>Data release consists of:</p> <ul> <li>databases in a form of text files for Carina, Fornax and Sculptor galaxies<br> (db_Car.txt, db_For.txt , db_Scu.txt)</li> <li>completeness tables and plots for every field in Carina, Fornax and Sculptor galaxies<br> (compl_Car.pdf, compl_Car.txt, compl_Scu.pdf, compl_Scu.txt, compl_For.pdf, compl_For.txt)</li> <li>explanatory file for each galaxy<br> (info_Car.txt, info_Scu.txt, info_For.txt)</li> <li>FITS images of scientific quality of all analyzed fields in Carina, Fornax and Sculptor galaxies, archived in tar.gz files</li> </ul>
Low-resolution infrared thermal dataset and potential privacy-preserving applications
<p>A low-resolution infrared thermal dataset of people and thermal objects, such as a working laptop, in indoor environments. The dataset was collected by a far infrared thermal camera (32 by 24 pixels), which can capture the position and shape information of thermal objects without privacy issues that enable trustworthy computer vision applications. The dataset consists of 1770 thermal images with high-quality annotation collected from an indoor room with around 15 degrees.</p>
Data for: Tailored frequency conversion makes infrared light visible for streak cameras
<p>Data for the publication "Tailored frequency conversion makes infrared light visible for streak cameras".</p> <p>Streak cameras are one of the most common and convenient devices to measure pulsed emission e.g. from semiconductor lightsources with picosecond time resolution. However, they are most sensitive in the visible range and possess low or negligible efficiency in the infrared and telecom regime. In this work, we present a frequency conversion based on sum-frequency generation that converts infrared to visible signals while preserving their temporal properties, making them detectable with a streak camera. We demonstrate and verify the functionality of our device by converting the emission from a quantum dot laser.</p> <p>Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – SFB-Geschäftszeichen TRR142/3-2022 – Projektnummer 231447078, Project C01.</p>
HIT-UAV: A high-altitude infrared thermal dataset for Unmanned Aerial Vehicle-based object detection
<p>Add citation file.</p>
NIR-MFCO dataset: Near-infrared-based false-color images of post-consumer plastics at different material flow compositions and material flow presentations
<p>Determining mass-based material flow compositions (MFCOs) is crucial for assessing and optimizing the recycling of post-consumer plastics. Currently, MFCOs in plastic recycling are mostly determined through manual sorting analysis, but the use of inline near-infrared (NIR) sensors holds potential to automate the characterization process, paving the way for novel sensor-based material flow characterization (SBMC) applications. The NIR-MFCO dataset aims to expedite SBMC research by providing NIR-based false-color images of plastic material flows with their corresponding MFCOs. The false-color images were created through the pixel-based classification of binary material mixtures using a hyperspectral imaging camera (EVK HELIOS NIR G2-320; 990 nm – 1678 nm wavelength range) and the on-chip classification algorithm (CLASS 32). The resulting NIR-MFCO dataset includes <em>n</em> = 880 false-color images from three test series: (T1) high-density polyethylene (HDPE) and polyethylene terephthalate (PET) flakes, (T2a) post-consumer HDPE packaging and PET bottles, and (T2b) post-consumer HDPE packaging and beverage cartons for <em>n</em> = 11 different HDPE shares (0% - 50%) at four different material flow presentations (singled, monolayer, bulk height H1, bulk height H2). The dataset can be used, e.g., to train machine learning algorithms, evaluate the accuracy of inline SBMC applications, and deepen the understanding of segregation effects of anthropogenic material flows, thus further advancing SBMC research and enhancing post-consumer plastic recycling.</p>
Data files for Atmospheric Gravity Wave and Instability Observations from the International Space Station using the Near InfraRed Airglow Camera (NIRAC)
<p>The files in this set are data obtained from the NIRAC airglow imager on the International Space Station. The files are named for a JGR paper by J. Hecht et al. entitled Atmospheric Gravity Wave and Instability Observations from the International Space Station using the Near InfraRed Airglow Camera (NIRAC). These files are for plots in Figures 5,7,10,11,17,18, and 19 in the submitted paper. The files are published here so as to be available for review. This paper should appear in JGR Atmospheres sometime in late 2023 or early 2024. The files that are text files are meant to be read with IDL as discussed in the readme file. </p>
Infrared Transmission Spectra and Complex Refractive Indices of Surface Soils from Global Dust Entrainment Regions
<p>Spectral data for the paper “Variations in Infrared Complex Refractive Index Spectra of Surface Soils from Global Dust Entrainment Regions” submitted to the journal of <em>Atmosphere</em> Manuscript ID: atmosphere-2291559.</p> <p>Longwave infrared continuum removed transmission spectra, real (<em>n</em>) and imaginary (<em>k</em>) indices of refraction as well as subtractive Kramers-Kronig (SKK) MATLAB code presented in that paper are included in this Zenodo repository.</p> <p>The continuum removed transmission spectral data are stored in an Excel file format in columns and the first column is the wavelengths (µm). </p> <p>Real (<em>n</em>) and imaginary (<em>k</em>) indices of refraction for each sample are stored in a separate file where the first the column is the wavelengths (µm), and the second and third are <em>k</em> and <em>n</em> respectively.</p> <p> </p> <p>LWIR transmission: LWIR transmission was measured in the wavelength range between ~ 2.5 and 25 µm using a benchtop Nicolet 380 Fourier Transform Infrared (FTIR) spectrometer. First, we made soil-KBr pellets using ~ 0.5 mg of soil and ~ 200 mg of KBr blended using a clean mortar and pestle for 2 to 3 minutes to ensure uniform dispersion of mineral particles in the matrix. Pellet production was performed with the means of an evacuable KBr Die Kit and a CrushIR Digital Hydraulic Press from PIKE Technologies (Madison, WI, USA). The mixture was first transferred to the Die Kit which was then pressed under vacuum for about 4 to 5 minutes at a pressure of ~ 10 t cm<sup>-2</sup>, forming a hard disk 13 mm in diameter. Due to the hygroscopic nature of KBr, we pulled a vacuum on the pellet die for approximately 3 to 4 minutes prior to compression, and we immediately placed the pellets in a desiccant box, and then measured transmission within one or two hours of pellet creation.</p> <p>The pellet was attached to a self-adhesive sampling card and placed into the transmission holder. The resulting transmission spectrum for the sample is recorded with the dust-KBr mixture measurement being ratioed to that for an empty chamber, or blank reference. To avoid contamination of transmission spectra with ambient gases, the instrument was initially purged with dry air for at least 5 minutes, prior to each transmission collection. To increase the quality of the spectra and improve the SNR, the numbers of scans averaged were 200 for the blank reference and 100 for the samples.</p> <p>We ratioed transmission spectra to a blank KBr spectrum and then removed the continuum. The continuum removal (CR) transmission spectrum was employed to derive imaginary index of refraction (<em>k</em>) using Beer-Bouguer-Lambert law and <em>k</em> = <em>β<sub>a</sub></em>λ/4π. Real index of refraction (<em>n</em>) spectrum was consequently derived from the <em>k</em> spectrum with a subtractive Kramers-Kronig (SKK) technique. </p> <p>The spectral range of 4–25 μm was chosen to present the transmission spectra as well as real (<em>n</em>) and imaginary (<em>k</em>) indices of refraction since absorption in the region from 2.5 to 3.5 μm is mainly due to water and is not necessarily diagnostic.</p> <p>Here, we define any acronyms that may be present in the names of uploaded Excel files or their contents.</p> <p>*LWIR = Longwave infrared</p> <p>*T = Transmission</p> <p>*CR = Continuum Removed</p>
Potential impact of assimilating visible and infrared satellite observations compared to radar reflectivity for convective‐scale NWP
<p>Contains</p> <ul> <li>raw_data <ul> <li>nature run initial conditions for the cases "random" and "warm-bubble"</li> <li>ensemble initial condition sounding profiles</li> </ul> </li> <li>evaluation_metrics <ul> <li>csv files of FSS, RMSE, MAE, ensemble spread, mean difference<br> to reproduce figures of FSS, RMSE and spread in the paper and more.<br> See the README.txt</li> </ul> </li> <li>figures <ul> <li>Map_VIS06 ... Simulated satellite images of visible reflectance for ensemble members and truth</li> <li>Map_VIS06_probability ... Map of ensemble probability for visible reflectance > 0.6 and the nature in red contours</li> </ul> </li> </ul> <p> </p>
ScienceDex guides
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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.