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51 results for “infrared light”
The Water-ice Feature in Near-infrared Disk-scattered Light around HD 142527: Micron-sized Icy Grains Lifted up to the Disk Surface?
<p>This is a reproduction package for the paper "The Water-ice Feature in Near-infrared Disk-scattered Light around HD 142527: Micron-sized Icy Grains Lifted up to the Disk Surface?" by Tazaki et al. (2021). In this repository, you will find the data files used to make figures in the paper. Source codes and scripts are included as well.</p>
First time-resolved measurement of infrared scintillation light in gaseous xenon
<p>Repository with supplemental data to:<br> <strong>First time-resolved measurement of infrared scintillation light in gaseous xenon</strong>. Piotter, M., Cichon, D., <em>Hammann, R.</em>, Jörg, F., Hötzsch, L.,<em> Marrodán Undagoitia, T. Eur. Phys. J. C</em> <strong>83</strong>, 482 (2023).<br> A pre-print of the article is available <em>on arXiv: </em><a href="https://arxiv.org/abs/2303.09344">2303.09344</a></p> <p><strong>Note: </strong>When re-using the data, please make sure to cite the article (and not only the dataset)</p> <p> </p> <p>The files contain all data related to the observed IR scintillation in gaseous xenon presented in the paper. This comprises the IR time profiles obtained via single photon counting and the measured pressure dependence of the IR light yield for the three extrapolation methods:</p> <ul> <li><strong>waveform_before.csv, waveform_during.csv, waveform_after.csv</strong>: These files contain the IR time profiles before, during, and after the purification of the gas (presented in figure 8 in the publication). The column <em>dt</em> is given in nanoseconds relative to the UV pulse and <em>counts </em>corresponds to counts per nanosecond per 100 UV events.</li> <li><strong>light_yield_ir.csv: </strong>This file contains the IR light yield as a function of pressure obtained with the three extrapolation models together with the respective statistical and systematic uncertainties. The data is presented in figure 9 in the publication and all values are given in units of photons per MeV.</li> <li><strong>waveform_495.csv, waveform_742.csv, waveform_1047.csv:</strong> These files contain the IR time profiles for xenon gas pressures of 495.0 mbar, 742.5 mbar, and 1047.0 mbar, respectively (presented in figure 10 in the publication). The column <em>dt</em> is given in nanoseconds relative to the UV pulse and <em>counts </em>corresponds to counts per nanosecond per 100 UV events.</li> </ul> <p> </p> <p><strong>Code examples for plotting the data:</strong></p> <p>The following Python code reproduces figure 9 in the publication:</p> <pre><code class="language-python">import pandas as pd import matplotlib.pyplot as plt if __name__ == '__main__': df = pd.read_csv("light_yield_ir.csv") color_pairs = [("#365898", "#B7D0FF"), ("#AB123B", "#F0B5C5"), ("#E1992E", "#F1DAB9")] fig, ax = plt.subplots(1, figsize=(4, 3)) for fit_func_str, cs in zip(["Recombination model fit", "Exponential fit", "Linear fit"], color_pairs): # Plot systematic error ax.errorbar(df["Pressure"], df[f"IR Light Yield ({fit_func_str} fit)"], yerr=df[f"Syst. uncertainty ({fit_func_str} fit)"], ls="", elinewidth=3, capsize=0, ecolor=cs[1] ) # Plot estimator with statistical error ax.errorbar(df["Pressure"], df[f"IR Light Yield ({fit_func_str} fit)"], yerr=df[f"Stat. uncertainty ({fit_func_str} fit)"], ls="", c=cs[0], ecolor=cs[0], elinewidth=1, capsize=1, marker=".", label=fit_func_str) # Cosmetics ax.set_xlabel("Pressure [mbar]") ax.set_ylabel("IR light yield [ph / MeV]") ax.set_ylim(1200, 12_500) ax.legend(frameon=False, loc="upper left") plt.show()</code></pre> <p> </p> <p>The IR time response of figure 8 can be redrawn as follows:</p> <pre><code class="language-python">import pandas as pd import matplotlib.pyplot as plt if __name__ == '__main__': fig, ax = plt.subplots(1, figsize=(4, 3)) for label in ["before", "during", "after"]: df = pd.read_csv(f"waveform_{label}.csv") ax.step(df["dt"], df["counts"], label=label) # Cosmetics ax.set_xlabel("$\Delta t$ between IR and UV signal [ns]") ax.set_ylabel("Counts per 1 ns per 100 UV events") ax.legend(frameon=False, loc="upper right") plt.show()</code></pre> <p> </p>
Comparative genomics sheds new light on the convergent evolution of infrared vision in snakes
<p>Infrared vision is a highly specialized sensory system that evolved independently in three clades of snakes. Apparently, convergent evolution occurred in the transient receptor potential ankyrin 1 (<em>TRPA1</em>) proteins of infrared-sensing snakes. However, this gene can only explain how infrared signals are received, and not the transduction and processing of those signals. We sequenced the genome of <em>Xenopeltis unicolor</em>, a key outgroup species for pythons, and performed a genome-wide analysis of convergence between two clades of infrared-sensing snakes. Our results revealed pervasive molecular adaptation in pathways associated with neural development and other functions, with parallel selection on loci associated with trigeminal nerve structural organization. Additionally, we found evidence of convergent amino acid substitutions in a set of genes, including <em>TRPA1 </em>and<em> TRPM2</em>. Analysis also identified convergent accelerated evolution in non-coding elements near 12 genes involved in facial nerve structural organization and optic nerve development. Thus, convergent evolution occurred across multiple dimensions of infrared vision in vipers and pythons, as well as amino acid substitutions, non-coding elements, genes, and functions. These changes enabled independent groups of snakes to develop and utilize infrared vision.</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>
Comparative genomics sheds new light on the convergent evolution of infrared vision in snakes
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Census of R Coronae Borealis stars I: Infrared light curves from Palomar Gattini IR
<p>Lightcurves and spectra presented in the paper "Census of R Coronae Borealis stars I: Infrared light curves from Palomar Gattini IR", Karambelkar et al. 2021.</p>
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>
Data: Modification of ground state chemical reactivity via light-matter coherence in infrared cavities
<p>Data to reproduce Figures in paper "Modification of ground state chemical reactivity via light-matter coherence in infrared cavities" published in DOI:0000/0000000</p>
Near Infrared Light for the Treatment of Painful Peripheral Neuropathy
ClinicalTrials.gov study NCT00125268. IPD Sharing: Not stated. Countries: 1. Publications: 10.
Data from: Non‐invasive treatment of ischemia/reperfusion injury: Effective transmission of therapeutic near‐infrared light into the human brain through soft skin‐conforming silicone waveguides
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Data from: Remote neurostimulation through an endogenous ion channel using a near infrared light-activatable nanoagonist
Open the record for dataset details and reuse information.
The Effect of Near-infrared Light Therapy on Brain Function and Cognition in Young and Older Adults
ClinicalTrials.gov study NCT07209683. IPD Sharing: NO. Countries: 1. Publications: 1.
Clinical Study of Treatment of Acute Spinal Cord Injury by Near Infrared Light Irradiation
ClinicalTrials.gov study NCT03643419. IPD Sharing: UNDECIDED. Countries: 1. Publications: 4.
Comparative Effects of Cryotherapy and Infrared Light on Pain, Redness, and Healing of Episiotomy Wound
ClinicalTrials.gov study NCT06325176. IPD Sharing: NO. Countries: 1. Publications: 5.
Infrared Light for Memory Loss in Mild Cognitive Impairment (MCI)
ClinicalTrials.gov study NCT06618807. IPD Sharing: NO. Countries: 1. Publications: 2.
Near Infrared Light in Paediatric Blood Drawing Centre
ClinicalTrials.gov study NCT03277092. IPD Sharing: NO. Countries: 1. Publications: 1.
Signature Diagnostic of Non-alcoholic Steatohepatitis (NASH) by Infrared Light Spectroscopy
ClinicalTrials.gov study NCT03978247. IPD Sharing: NO. Countries: 1. Publications: 1.
Near-Infrared Light Photobiomodulation Treatment for Retinal Vein Occlusion Macular Oedema
ClinicalTrials.gov study NCT04847869. IPD Sharing: NO. Countries: 1. Publications: 1.
Effect of Transcranial Near InfraRed Light on Cerebral Function in Young and Healthy Older Subjects: a FMRI Study (TIROC)
ClinicalTrials.gov study NCT05845216. IPD Sharing: NO. Countries: 1. Publications: 5.
Validation of a Method to Measure Soft Tissue Thickness Using Near Infrared Laser Light
ClinicalTrials.gov study NCT01924338. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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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.