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623 results for “bursting”
Burst Noise Injection through Antenna Recorded on a UAV at Logic Level using HEIST
<p>A UAV exposed to burst noise injected through an antenna. The noise is recorded at logic level using HEIST.</p> <p> </p> <p>https://github.com/MaSkr09/heist_datalog.git</p>
SupportingDataset Identification and Quantification of Within-Burst Dynamics in Singly-Labeled Single-Molecule Fluorescence Lifetime Experiments
<p>The Jupyter notebooks and resulting files used to demonstrate divisor-based mpH<sup>2</sup>MM. The analysis is demonstrated with both simulations and analyses of alpha-synuclein.</p> <ol> <li> <p><em><strong>Notebooks.zip</strong></em>:* Zip file containing the Jupyter notebooks for producing, analyzing and visualizing the simulated photon trajectories. Note: this folder contains all code needed to reproduce simulations. All other files related to the simulations are produced by one of the notebooks in this trajectory. However, as simulations can take a long time, the various results files are included in this repository so that notebooks can be run from intermediate steps.</p> <ol> <li> <p><strong>1-PIFE-pybromo-sims.ipynb</strong> : The code for producing simulated diffusion trajectories and photon-HDF5 files of two-state systems undergoing transition dynamics (the results of this notebook are stored in the sub-folder <em>PyBroMo_photonHDF5</em>)</p> </li> <li> <p><strong>2-PIFE-mpH2MM-sim-[lifetime components].ipynb </strong>: Notebooks performing divisor-based mpH<sup>2</sup>MM on simulated datasets for a given combination of lifetime states. (these notebooks store files that are contained in the sub-folder <em>H2MMresults</em>)</p> </li> <li> <p><strong>3-PIFE-mpH2MM-compiled-plots.ipynb</strong> : Jupyter notebook for producing figures comparing all results globally</p> </li> <li> <p><strong>532nm_IRF_19-10-2021.csb</strong>: the file containing the experimental IRF used in the simulations</p> </li> </ol> </li> <li> <p><em><strong>PyBroMo_photonHDF5.zip</strong></em>:* Zip file containing the simulated results of <em>1-PIFE-pybromo-sims</em> notebook as photon-HDF5 files (1 file per transition rate/lifetime combination)</p> </li> <li> <p><strong>PIFE-sim-dynamicmix_[lifetime components]_result.hdf5</strong>: special HDF5 files containing the results of each notebook in <em>Notebooks</em>, which are used by <em>3-PIFE-mpH2MM-compiled-plots</em></p> </li> <li> <p><strong>PIFE-mpH2MM-alpha-syn-vFinal.ipynb</strong>: divisor-based mpH<sup>2</sup>MM analysis of alpha-synuclein smPIFE data</p> </li> <li> <p><strong>H2MM-Lifetime_example.ipynb</strong>: A demonstration of divisor-based mpH<sup>2</sup>MM using nsALEX-smFRET data. This method could potentially demonstrate states differentiated in lifetimes independently of potential changes in E & S.</p> </li> <li> <p><strong>Template_ltH2MM.ipynb</strong>: An easy-to-follow implementation of divisor-based mpH<sup>2</sup>MM demonstrated on a single alpha-synuclein experimental data acquisition file. This can be used for learning how to implement and analyze single dye fluorescence lifetime data with mpH<sup>2</sup>MM</p> </li> </ol> <p> </p> <p>* For running these notebooks, generally, all files in <em>PyBroMo_photonHDF5.zip</em> should be placed into a single directory (i.e., the files in <em>Notebooks</em>.<em>zip</em> should be placed into the same directory as the files in <em>PyBroMo_photonHDF5</em>.<em>zip</em>) as the notebooks are set to read in files from their current directory.</p>
Thermal Burst on the Ring Nebula M57
<p>The observation on Ring Nebula (M57) mainly studied its circumnuclear structure. The signal noise process is identified to be in the range of 8.2 - 36.9 K. The thermonuclear reaction caused a globular shockwave in the observation, and similar structure of black & white hole seed collision is observed as the ring (singularity). However, even with the polarized ring, exotic metal-insulator creation is not expected without the black hole being charged. With the circumnuclear spin of the ring, the black hole type therein is identified as a Kerr. The thermal process of reionization from around -10 K to positive temperature with eruption noises suggest minor collision could have occurred around the temperature of 0 K. The effect of the ring from the eruption is implies that lower temperatures persist in the undetected region of the structure.</p>
Fermi-GBM Data Release Related to Searches for Neutrinos from Gamma-Ray Bursts using the IceCube Neutrino Observatory
<p>This data release includes Fermi Gamma-ray Burst Monitor (GBM) localizations used in searches for neutrinos from gamma-ray bursts (GRB) by the IceCube Neutrino Observatory. These localizations are provided publicly to the community since they are generally useful for any analysis that needs the Fermi-GBM localization for a GRB.</p> <p><strong>Full Details:</strong></p> <p>The files contained herein are HEALPix representations of GRB localizations from the Fermi-GBM stored as FITS files and produced according to the automated method described in [1]. Each file represents the probability density (statistical + systematic) for the true source location. By definition, this excludes the Earth occulted region of the sky, which is set to 0 due to the fact that real sources are not visible through the Earth. These files cover a time range spanning the first detection of GRBs by GBM in July 2008 through July 2019 and should be considered preliminary. The files are preliminary in the sense that they contain some key differences to the official files hosted at HEASARC FTP server through the Fermi Science Support Center (FSSC; <a href="https://fermi.gsfc.nasa.gov/ssc/data/access/gbm/">https://fermi.gsfc.nasa.gov/ssc/data/access/gbm/</a>). We list the key differences here:</p> <ul> <li>Fermi began production HEALPix FITS files in early 2018, and files prior to that have not been officially provided. The files in this archive are currently the only version of HEALPix files pre-2018.<br> </li> <li>These files were not produced via the standard GBM operational pipeline; however they were produced with the same functional code that is used to make the files. The result of this is that the standard quality checks on the FITS headers by uploading to the FSSC were skipped. The primary header is most affected, with some null values, but these null values do not affect the HEALPix data.<br> </li> <li>These localizations may have centroids that are slightly different than reported in the online catalog. This is because an automated algorithm for localization (RoboBA) was used to localize the GRBs and produce these files as opposed to the manual Human-in-the-Loop localization performed for every GRB prior to 2016, and ~15% of GRBs thereafter [1].<br> </li> <li>These localizations contain an updated and improved systematic uncertainty model compared to the pre-July 2019 localizations at the FSSC. The new systematic uncertainty model is explained in [1], while the older localizations at the FSSC contain a systematic uncertainty model from [2].<br> </li> <li> In general, the official localizations hosted at the FSSC currently do not remove localization probability that overlaps the Earth, but these files do remove the probability that overlaps the Earth and renormalizes the remaining PDF. This encodes the assertion that the localization is indeed of an astrophysical nature.</li> </ul> <p>The FITS files are organized with two HDUs:</p> <ul> <li> PRIMARY HDU with some basic metadata about the mission from which the data originated<br> </li> <li> HEALPIX HDU containing header information about the GBM detector pointings, as well as the Sun and Geocenter localizations with respect to Fermi. There are two data fields contained in the extension: <ul> <li> PROBABILITY: the differential localization probability per pixel (NSIDE=128)</li> <li> SIGNIFICANCE: integrated probability for estimating confidence intervals (NSIDE=128)</li> </ul> </li> </ul> <p>Furthermore, we provide images of each localization. The images are a Mollweide projection of the sky, with the 50% and 90% localization confidence regions marked in shaded purple. The location of the Earth from Fermi's perspective is marked in shaded blue.</p> <p>The GBM trigger number associated with each FITS file and image is listed in the filename.</p> <p><strong>References:</strong></p> <p><a href="https://iopscience.iop.org/article/10.3847/1538-4357/ab8bdb">[1] Goldstein, A. et al. 2020, ApJ, 895, 40</a><br> <a href="https://iopscience.iop.org/article/10.1088/0067-0049/216/2/32/meta">[2] Connaughton, V. et al. 2015, ApJS, 216, 32</a></p>
Data from: Thalamic bursting and the role of timing and synchrony in thalamocortical signaling in the awake mouse
<p>The thalamus controls transmission of sensory signals from periphery to cortex, ultimately shaping perception. Despite this significant role, dynamic thalamic gating and the consequences for downstream cortical sensory representations have not been well studied in the awake brain. We optogenetically modulated the ventro-posterior medial thalamus in the vibrissa pathway of the awake mouse, and measured spiking activity in the thalamus, and activity in primary somatosensory cortex (S1) using extracellular electrophysiology and genetically encoded voltage imaging. Thalamic hyperpolarization significantly enhanced thalamic sensory-evoked bursting, yet surprisingly the S1 cortical response was not amplified, but instead timing precision was significantly increased, spatial activation more focused, and there was an increased synchronization of cortical inhibitory neurons. A thalamocortical network model implicates the modulation of precise timing of feedforward thalamic population spiking, presenting a highly sensitive, timing-based gating of sensory signaling to cortex.</p>
Data release associated with ``Search for Coincident Gravitational Wave and Long Gamma-Ray Bursts from 4-OGC and the Fermi-GBM/Swift-BAT Catalog"
<p>This is associated data release for the paper https://arxiv.org/abs/2208.03279. It contains the skymaps from potential gravitational-wave candidates from binary neutron star or neutron star-black hole merger. The notebook showcases how to use it. More information can be found in the github repository: https://github.com/gwastro/gw-longgrb</p> <pre> </pre> <pre> </pre>
Data for the publication: Bursting of condensates
<p>This entry includes the raw data and the analysed data for the publication "Bursting of condensates". The original publication was published in Communications Physics: https://doi.org/10.1038/s42005-024-01650-5</p> <p>The "Analysed_Data.zip" folder contains 5 subfolders with the name of the proteins. Each subfolder contains the analysed data from the videos as .txt files. The type of data is specified in the name: aspiration, retraction, bursting_radius, curvilinear_coordinate. The "Video_protein_name.zip" folders contain the videos in the .tif format obtained with optical microscopy. The applied pressure (Pa) as well as the fps are indicated in the file name. The folder "Stability_coalescence_data.zip" contains the analysed coalescence data as .avi and the images of the time stability and coalescence analysed for CBM-AQ12-CBM. The folder "Microscopy_data.zip" contains the microscopy images. Please find more information in the read_me files uploaded.</p>
Systematic assessment of burst impurity in confocal-based single-molecule fluorescence detection using Brownian motion simulations - photon timetag simulation files
<p>Attached are the photon timestamp and channels simulated for different 3D diffusing molecules simulations at different conditions (simulation was performed by PyBroMo).</p> <p>Each of the files has, in its name, a code. The meaning of the codes are as following:</p> <pre>f32445 - 15 molecules at a concentration of 62 pM, with a diffusion coefficient of 90 micron^2/s - 60 second simulation using a numerical PSF model </pre> <pre>a01f8f - 15 molecules at a concentration of 31 pM, with a diffusion coefficient of 90 micron^2/s - 60 second simulation using a numerical PSF model</pre> <pre>9ff667 - 15 molecules at a concentration of 15.5 pM, with a diffusion coefficient of 90 micron^2/s - 60 second simulation using a numerical PSF model</pre> <pre>71154a - 15 molecules at a concentration of 62 pM, with a diffusion coefficient of 22.5 micron^2/s - 60 second simulation using a numerical PSF model</pre> <pre>ad926d - 15 molecules at a concentration of 62 pM, with a diffusion coefficient of 5.625 micron^2/s - 60 second simulation using a numerical PSF model</pre> <pre>1ab235 - 15 molecules at a concentration of 62 pM, with a diffusion coefficient of 90 micron^2/s - 180 second simulation using a numerical PSF model</pre> <pre>d00978 - 15 molecules at a concentration of 62 pM, with a diffusion coefficient of 5.625 micron^2/s - 180 second simulation using a numerical PSF model</pre> <p> </p> <pre>2469bb - 15 molecules at a concentration of 62 pM, with a diffusion coefficient of 90 micron^2/s - 60 second simulation using a Gaussian PSF model </pre> <pre>4be121 - 15 molecules at a concentration of 31 pM, with a diffusion coefficient of 90 micron^2/s - 60 second simulation using a Gaussian PSF model</pre> <pre>a7088f - 15 molecules at a concentration of 15.5 pM, with a diffusion coefficient of 90 micron^2/s - 60 second simulation using a Gaussian PSF model</pre> <pre>023983 - 15 molecules at a concentration of 62 pM, with a diffusion coefficient of 22.5 micron^2/s - 60 second simulation using a Gaussian PSF model</pre> <pre>653f61 - 15 molecules at a concentration of 62 pM, with a diffusion coefficient of 5.625 micron^2/s - 60 second simulation using a Gaussian PSF model</pre> <pre>4f06ee - 15 molecules at a concentration of 62 pM, with a diffusion coefficient of 90 micron^2/s - 180 second simulation using a Gaussian PSF model</pre> <pre>dec32c - 15 molecules at a concentration of 62 pM, with a diffusion coefficient of 5.625 micron^2/s - 180 second simulation using a Gaussian PSF model</pre> <p> </p> <pre>85b0a1 - 15 molecules at a concentration of 62 pM, with a diffusion coefficient of 90 micron^2/s , 10 of which belong to a sub-population with a mean FRET efficiency of 0.75, and the leftover 5 belong to another sub-populations with a mean FRET efficiency of 0.50 - 60 second simulation using a Numerical PSF model</pre> <pre>964ef3 - 15 molecules at a concentration of 62 pM, with a diffusion coefficient of 90 micron^2/s , 10 of which belong to a sub-population with a mean FRET efficiency of 0.75, and the leftover 5 belong to another sub-populations with a mean FRET efficiency of 0.50 - 180 second simulation using a Numerical PSF model</pre> <p> </p> <pre>f28f6e - 15 molecules at a concentration of 62 pM, with a diffusion coefficient of 90 micron^2/s , 10 of which belong to a sub-population with a mean FRET efficiency of 0.75, and the leftover 5 belong to another sub-populations with a mean FRET efficiency of 0.50 - 60 second simulation using a Gaussian PSF model</pre> <pre>c311dd - 15 molecules at a concentration of 62 pM, with a diffusion coefficient of 90 micron^2/s , 10 of which belong to a sub-population with a mean FRET efficiency of 0.75, and the leftover 5 belong to another sub-populations with a mean FRET efficiency of 0.50 - 180 second simulation using a Gaussian PSF model</pre>
FIG. 2 in "Bursting through all obstacles and traversing all distances" (Plin., NH 8.35.86): spatial memory of snakes in light of ancient literary accounts
FIG. 2. — Bacchus and Vesuvius. A huge snake is slithering in front of an altar. Pompeii, from the Lararium of the House of the Centenary, 55-79 AD, Naples. National Archaeological Museum,inv.112286, after Kuivalainen (2021: 117, C17).
FIG. 1 in "Bursting through all obstacles and traversing all distances" (Plin., NH 8.35.86): spatial memory of snakes in light of ancient literary accounts
FIG. 1. — The Python's cave (antron). Leto escapes from Python with Apollo and Artemis in her arms. Lost Apulian red-figure neck amphora, earlier IV BC, drawing by J. H. W. Tischbein after Ogden (2013a: 39, fig. 3).
Data from "A search using GEO600 for gravitational waves coincident with fast radio bursts from SGR 1935+2154"
<p>This includes the data and scripts used to generate the plots in the paper "A search using GEO600 for gravitational waves coincident with fast radio bursts from SGR 1935+2154."</p>
Magnetic field reversal in the turbulent environment around a repeating fast radio burst
<p>All the bursts of FRB 20190520B detected from the Green Bank Telescope (GBT) that was used in the Anna-Thomas et al (2022) paper. This dataset contains both L-Band (1.4 GHz) and C-Band (6 GHz) bursts. The data is in pulse archive format, which can be read using the software suite PSRCHIVE or the package PyPulse. The L-band bursts are not calibrated. The C-Band bursts which has an extension .calib is calibrated for both flux and polarization and those which has an extension .calibP is only calibrated for polarization. </p>
Text-fig. 48. Scanning electron microscope (SEM, a, b, d–i) and synchrotron radiation X-ray tomographic microscopy (SRXTM, c) images of "One-seeded fruit sp. 2" (a–c), "Unassigned, unnamed fruits" (d–f), Pazliopsis sp. (g, h) and "Follicular fruit with exotestal seeds" (i); Catefica locality, Portugal. a) Lateral view of fruit showing remains of tepals (te) and a single stamen (st); b) Detail of fruit surface showing short, scale-like, peltate trichomes (arrows); c) Transverse section (orthoslice xy0475) of fruit containing a single seed showing tepals (te) and fruit surface with peltate trichomes (arrow); note partial preservation of internal nutritive tissue; d) Fruit in lateral view showing the almost smooth epidermis with scattered openings; e) Detail of fruit surface from (d) showing the scattered openings in the epidermis interpreted as burst secretory cells (arrows); f) Dorsi-ventral view of tiny fruit with an irregular surface; g) Lateral view of exotestal seed assigned to cf. Pazliopsis sp.; h) Detail of fruit surface of seed in (g) showing faint facets of outer palisade layer with fine jigsaw-puzzle outlines of the anticlinal walls; i) Lateral view of fragmentary follicular fruit showing two exposed exotestal seeds. Specimens, Catefica 153-S174314 (a–c), Catefica 50-S170420 (d, e), Catefica 152-S174300 (f), Catefica 49-S172319 (g, h), Catefica MM158-P0272 (i). Scale bars = 300 Μm (a, c, d, f, g, i), 100 Μm (e), 50 Μm (b, h). in The Early Cretaceous Mesofossil Flora Of Catefica, Portugal: Angiosperms
Text-fig. 48. Scanning electron microscope (SEM, a, b, d–i) and synchrotron radiation X-ray tomographic microscopy (SRXTM, c) images of "One-seeded fruit sp. 2" (a–c), "Unassigned, unnamed fruits" (d–f), Pazliopsis sp. (g, h) and "Follicular fruit with exotestal seeds" (i); Catefica locality, Portugal. a) Lateral view of fruit showing remains of tepals (te) and a single stamen (st); b) Detail of fruit surface showing short, scale-like, peltate trichomes (arrows); c) Transverse section (orthoslice xy0475) of fruit containing a single seed showing tepals (te) and fruit surface with peltate trichomes (arrow); note partial preservation of internal nutritive tissue; d) Fruit in lateral view showing the almost smooth epidermis with scattered openings; e) Detail of fruit surface from (d) showing the scattered openings in the epidermis interpreted as burst secretory cells (arrows); f) Dorsi-ventral view of tiny fruit with an irregular surface; g) Lateral view of exotestal seed assigned to cf. Pazliopsis sp.; h) Detail of fruit surface of seed in (g) showing faint facets of outer palisade layer with fine jigsaw-puzzle outlines of the anticlinal walls; i) Lateral view of fragmentary follicular fruit showing two exposed exotestal seeds. Specimens, Catefica 153-S174314 (a–c), Catefica 50-S170420 (d, e), Catefica 152-S174300 (f), Catefica 49-S172319 (g, h), Catefica MM158-P0272 (i). Scale bars = 300 Μm (a, c, d, f, g, i), 100 Μm (e), 50 Μm (b, h).
Audio signals of ice core bursting bubbles from the Dye-3 ice core
<p>Continuous measurements of the sound signal of bursting bubbles in a continuous flow analysis system. The ice samples measured are from Dye-3, Greenland and the measurements are taken using two AKG C451 condenser microphones connected to a Steinberg URC 816 preamplifier.</p>
Reproduction package for the paper "The Apertif Radio Transient System (ARTS): Design, Commissioning, Data Release, and Detection of the first 5 Fast Radio Bursts"
<p>This is a basic reproduction package for the paper "The Apertif Radio Transient System (ARTS): Design, Commissioning, Data Release, and Detection of the first 5 Fast Radio Bursts" by van Leeuwen et al. (2023).</p> <p>* arXiv:<a href="https://arxiv.org/abs/2205.12362">arXiv:2205.12362</a><br> * DOI: <a href="https://doi.org/10.1051/0004-6361/202244107">10.1051/0004-6361/202244107</a></p> <p> </p>
Cambrian origin but no early burst in functional disparity for Class Bivalvia
<p><span>Both the Cambrian Explosion, more than half a billion years ago, and its Ordovician aftermath some thirty-five million years later, are often framed as episodes of widespread ecological opportunity, but not all clades originating during this interval showed prolific rises in morphological or functional disparity. In a direct analysis of functional disparity, instead of the more commonly used proxy of morphological disparity, we find that ecological functions of Class Bivalvia arose concordantly with and even lagged behind taxonomic diversification, rather than the early-burst pattern expected for clades originating in supposedly open ecological landscapes. Unlike several other clades originating in the Cambrian Explosion, the bivalves' belated acquisition of key anatomical novelties imposed a macroevolutionary lag, and even when those novelties evolved in the Early Ordovician, functional disparity never surpassed taxonomic diversity. Beyond this early period of animal evolution, the founding and subsequent diversification of new major clades and their functions might be expected to follow the pattern of the early bivalves—one where interactions between highly dynamic environmental and biotic landscapes and evolutionary contingencies need not promote prolific functional innovation. </span></p>
Theta Burst Transcranial Magnetic Stimulation of Fronto-parietal Networks: Modulation by Mental State
ClinicalTrials.gov study NCT04010461. IPD Sharing: YES. Countries: 1. Publications: 1.
Examining the Effect of EEG-guided Theta Burst Stimulation in Bipolar Disorder
ClinicalTrials.gov study NCT05179785. IPD Sharing: YES. Countries: 1. Publications: 1.
Data from: A laser-equipped tunnel for the assessment of multiple burst swimming traits in fishes
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Simultaneous modulation of pulse charge and burst period elicits two differentiable referred sensations
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