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623 results for “bursting”
Cambrian origin but no early burst in functional disparity for Class Bivalvia
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Data from: Thalamic bursting and the role of timing and synchrony in thalamocortical signaling in the awake mouse
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Cortico-subcortical β burst dynamics underlying movement cancellation in humans
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Computer Aided Design (CAD) files for capillaric circuit with 8 retention burst valves
<p>AutoCAD design file and STL file for capillaric circuit with 8 retention burst valves.</p>
Supporting data and scripts for Nature Astronomy article "Detection of two bright radio bursts from magnetar SGR 1935+2154" by Kirsten et al.
<p>This data set contains scripts and data used to analyze the observations described in Nature Astronomy article "Detection of two bright radio bursts from magnetar SGR 1935+2154" by Kirsten et al. 2020. The scripts used to create the plots therein also included.</p>
Burst timing determines perceived consonant order in the McGurk combination effect (Audiovisual stimuli)
<p>The file “AV_stimuli.zip” contains the audiovisual speech stimuli generated by a native French talker for the study “Burst timing determines perceived consonant order in the McGurk combination effect.”</p> <p>The stimuli were created by splitting the acoustic component of McGurk combination stimuli into two sequences. One sequence contained only the vowels /i_i/ (where the underscore represents a 300 ms intersyllabic pause). The other sequence contained the release burst and aspiration extracted from a natural articulation of /iki/. An auditory (A) continuum was then created by adding the burst and aspiration to the vowels at nine different temporal alignments (step size of 50 ms). At 0 ms, the midpoint of the burst coincided with the midpoint of the intersyllabic pause. At the extremes, -200 and 200 ms, the burst and aspiration almost completely overlapped with the initial or final vowel, respectively. Two audiovisual (AV) continua were then created by pairing the acoustic continuum with either visual (V) /ip_i/ or /i_pi/.</p> <p><strong>Filename list:</strong></p> <p><strong>s5:</strong>congruent<strong>AV</strong>/i_i/</p> <p><strong>s6-s14: </strong>AV continuum, <strong>V</strong>/ip_i/ <strong>+</strong><strong>A</strong>/i_i/ <strong>&</strong>burst paired at different asynchronies, -200, -150, -100, -50, 0, 50, 100, 150 and 200 ms, respectively.</p> <p><strong>s15-s23: </strong>AV continuum, <strong>V</strong>/i_pi/ <strong>+</strong><strong>A</strong>/i_i/ <strong>&</strong>burst paired at different asynchronies, -200, -150, -100, -50, 0, 50, 100, 150 and 200 ms, respectively.</p> <p><strong>S27-s35: </strong>A continuum, <strong>A</strong>/i_i/ <strong>&</strong>burst paired at different asynchronies, -200, -150, -100, -50, 0, 50, 100, 150 and 200 ms, respectively.</p>
Reproduction package for the paper: "Detection of ultra-fast radio bursts from FRB 20121102A"
<p><br># Reproduction package for the paper "Detection of ultra-fast radio bursts from FRB 20121102A"<br>Authors: Mark P. Snelders, K. Nimmo, J.W.T. Hessels, Z. Bensellam, L.P. Zwaan, P. Chawla, O.S. Ould-Boukattine, F. Kirsten, J.T. Faber and V. Gajjar.<br>arXiv link: https://arxiv.org/abs/2307.02303<br>DOI published article: Nature Astronomy, 19 October 2023, https://doi.org/10.1038/s41550-023-02101-x<br><br>This work has been made possible by an NWO Vici grant (Principal investigator, J.W.T.H.). <br><br>## Raw Data<br><br><strong>- The data are 100% publicly available and are explained in great detail in the following post: http://seti.berkeley.edu:8000/frb-data/</strong><br><strong>- The data are available from the Breakthrough Initiatives Open Data Portal with target name FRB121102: https://breakthroughinitiatives.org/opendatasearch</strong><br><br>In this paper we have re-processed and re-analysed data from the Green Bank Telescope that made use of the Breakthrough Listen digital backend. I will call this the GBT BL data. Below you can find links to multiple papers, GitHub repositories and blogposts that explain the GBT BL data.</p><p>- My paper describing the search and analysis of the ultra-fast radio bursts:<br> * https://ui.adsabs.harvard.edu/abs/2023arXiv230702303S/abstract<br> * https://www.nature.com/articles/s41550-023-02101-x<br>- First detection of the bursts at 8 GHz: https://ui.adsabs.harvard.edu/abs/2018ApJ...863....2G/abstract<br>- More bursts from the same dataset with machine learning detections: https://ui.adsabs.harvard.edu/abs/2018ApJ...866..149Z/abstract<br>- Explaining the Breakthrough Listen project: https://ui.adsabs.harvard.edu/abs/2017AcAau.139...98W/abstract<br>- Explaining the GBT breakthrough listen recorder: https://ui.adsabs.harvard.edu/abs/2018PASP..130d4502M/abstract<br>- Explaining the data formats: https://ui.adsabs.harvard.edu/abs/2019PASP..131l4505L/abstract<br>- Python 2 code to work with the baseband data: https://github.com/greghell/extractor (NOTE THAT IT IS PYTHON 2!!) (I recommend using Python 2.7 if you make use of that repo)<br>- Structure of the baseband data: https://github.com/UCBerkeleySETI/breakthrough/blob/master/doc/RAW-File-Format.md<br>- More information: https://github.com/UCBerkeleySETI/breakthrough/blob/master/GBT/waterfall.md<br>- A version of dspsr, called bl-dspsr, that can work with the GBT BL baseband data: https://github.com/UCBerkeleySETI/bl-dspsr<br><br>## Software<br><br>- The data was processed on multiple machines with various operating systems, which include, but are not limited to, macOS, Ubuntu and centOS.<br>- All the used software is open source, see the section above for more information, and also see the 'software' section in the paper.<br><br>## Figures and Tables</p><p>The files in this Zenodo package should be self-explanatory. E.g. `table_1.tar` contains all the scripts/notebooks/files needed to make table_1, and also contains table 1 itself. <br>The file: 'general_info.tar' is basically a txt file with the same info as provided here and it contains an offline version of the Breakthrough Listen blogpost that that explains the raw data. <br>The file: `helper_functions.tar` is a tarball that contains a Python file with a collection of helper functions that are used in the Jupyter notebooks (and the figures are made in the Jupyter notebooks). It also contains some files that are needed to e.g. remove the instrumental delay from the data.<br> <br>## End-to-End analysis scripts<br>The Python code/Jupyter notebooks in the tarfiles are end-to-end. </p><p>## Intermediate data products </p><p>The file `data_and_data_info.tar` contains two intermediate data products (both several gigabytes in size) and a txt file explaining the files and how they were made. Due to the Zenodo file size limitations I cannot upload everything. Please contact me at snelders@astron.nl or m.p.snelders@uva.nl or via ORCID to request any other files. <br><br><br><br> </p>
Nanosecond Repetitively Pulsed Plasmas with MHz Bursts for CO2 Dissociation
<p>Data used to created the figures in our submission "Nanosecond Repetitively Pulsed Plasmas with MHz Bursts for CO2 Dissociation" to Journal of Applied Physics D.</p>
Data from: Population genetics and independently replicated evolution of predator-associated burst speed ecophenotypy in mosquitofish
<p>Many species show replicated ecophenotypy due to recurring patterns of natural selection. Based on the presence or absence of pursuit predators, at least 17 species of fish repeatedly differentiated in body shape in a manner that increases burst swimming speed and the likelihood of predator escape. The predator-associated burst speed (<b>PABS</b>) ecophenotype is characterized by a small head and trunk and enlarged caudal region. Mechanisms promoting replicated phenotype-environment association include selection (without evolution), a single instance of adaptive evolution followed by biased habitat occupation, repeated instances of local adaptation, or adaptive phenotypic plasticity. Common garden rearing of mosquitofish, <i>Gambusia affinis</i>, demonstrated a likely heritable basis for PABS phenotypy, but it is unknown whether populations are otherwise genetically distinct or whether replicated ecophenotypy represents a single or replicated instances of adaptation. To genetically characterize the populations and test hypotheses of single or multiple adaptations, we characterized variation in 12 polymorphic DNA microsatellites in the previously studied <i>G. affinis</i> populations. Populations were genetically distinct by multilocus analysis, exhibited high allelic diversity, and were heterozygote deficient, which effects were attributed to <i>G. affinis</i>'s shoaling nature and habitat patchiness. Genetic and phenotypic distances among populations were correlated for non-PABS but not PABS morphology. Multilocus analysis demonstrated ecophenotype polyphyly and scattered multivariate genetic structure which support only the replicated-adaptation model. As all of the diverse tests performed demonstrated lack of congruence between patterns of molecular genetic and PABS differentiation, it is likely that divergent natural selection drove multiple instances of adaptive evolution.Many species show replicated ecophenotypy due to recurring patterns of natural selection. Based on the presence or absence of pursuit predators, at least 17 species of fish repeatedly differentiated in body shape in a manner that increases burst swimming speed and the likelihood of predator escape. The predator-associated burst speed (<b>PABS</b>) ecophenotype is characterized by a small head and trunk and enlarged caudal region. Mechanisms promoting replicated phenotype-environment association include selection (without evolution), a single instance of adaptive evolution followed by biased habitat occupation, repeated instances of local adaptation, or adaptive phenotypic plasticity. Common garden rearing of mosquitofish, <i>Gambusia affinis</i>, demonstrated a likely heritable basis for PABS phenotypy, but it is unknown whether populations are otherwise genetically distinct or whether replicated ecophenotypy represents a single or replicated instances of adaptation. To genetically characterize the populations and test hypotheses of single or multiple adaptations, we characterized variation in 12 polymorphic DNA microsatellites in the previously studied <i>G. affinis</i> populations. Populations were genetically distinct by multilocus analysis, exhibited high allelic diversity, and were heterozygote deficient, which effects were attributed to <i>G. affinis</i>'s shoaling nature and habitat patchiness. Genetic and phenotypic distances among populations were correlated for non-PABS but not PABS morphology. Multilocus analysis demonstrated ecophenotype polyphyly and scattered multivariate genetic structure which support only the replicated-adaptation model. As all of the diverse tests performed demonstrated lack of congruence between patterns of molecular genetic and PABS differentiation, it is likely that divergent natural selection drove multiple instances of adaptive evolution.</p>
Supplementary material: Multi-wavelength view of the close-by GRB~190829A sheds light on gamma-ray burst physics
<p>This repository contains supplementary data regarding the article "Multi-wavelength view of the close-by GRB~190829A sheds light on gamma-ray burst physics" published by the Astrophysical Journal Letters.</p> <p>In particular, the repository contains:</p> <ul> <li>Markov Chain Monte Carlo samples for both the afterglow modelling and the circular gaussian fits to VLBI data</li> <li>clean radio images, residuals and UV coverage plots for all our VLBI epochs</li> </ul> <p>Data formats should be self-explanatory. Do not hesitate to contact us at omsharan.salafia@gmail.com for any question.</p>
Driving Forces of Extreme Updrafts Associated with Convective Bursts in the Eyewall of a Simulated Tropical Cyclone
<p>The model-simulated data used in this study are uploaded here. Due to the large number, the original simulation data are available on request (qnn_nancy@yahoo.com).</p>
Temperature during seed maturation influences timing of bud burst in seedlings and saplings of Prunus padus.
<p>We tested whether temperature during seed maturation in a broadleaved woody perennial may influence the phenological performance of seedlings through an epigenetic memory. We performed two controlled crosses of <em>Prunus padus</em> in two subsequent years (2015 and 2016). Clonal mother shrubs were subjected to a cold and a warm condition during seed maturation. In the first year after germination the seedlings from the warm seed maturation condition burst their buds earlier compared to the cold condition seedlings, whereas in the second and third year, these seedlings burst their buds later. A temporary maternal effect may have advanced bud burst for the warm condition seedlings in the first year, whereas a delay of bud burst in the following years suggest a transgenerational epigentic memory, putatively expressing a stress reaction upon the suboptimal elevated temperature during seed maturation. In the spring of 2020, seedlings were divided in a cold and a warm treatment. The warm spring treatment enlarged the difference in timing of bud burst between the cold and warm seed maturation conditions in both crosses, suggesting that the epigenetic memory is more strongly expressed in a warmer spring environment. The timing of the autumnal leaf senescence in the seedlings was not influenced by the temperature during seed maturation in all observation years, suggesting that autumnal senescence is less (epi)genetically determined in comparison to bud burst, and more sensitive to ambient temperatures. </p>
TreeGrow - Data from: Morphology, bud burst and root fungal communities of Norway spruces (Picea abies)
<p>Our study delved into the relationship between root-associated fungi, gene expression and plant morphology in Norway spruce cuttings derived from both slow-and fast-growing trees. We found no clear link between the gene expression patterns of adventitious roots and the growth phenotype, suggesting no fundamental differences in the receptiveness to fungal symbionts between the phenotypes. Interestingly, saplings from slow-growing parental trees exhibited a higher richness of ectomycorrhizal species and larger roots. Some ectomycorrhizal species, typically found on mature spruces, were more prevalent on saplings from slow-growing spruces. The ericoid mycorrhizal fungus, Hyaloscypha hepaticola, showed a stronger association with saplings from fast-growing spruces. Moreover, saplings from slow-growing spruces had a greater number of Ascomycete taxa and free-living saprotrophic fungi. Aboveground sapling stems displayed some phenotypic variation; saplings from fast-growing phenotypes had longer branches but fewer whorls in their stems compared to those from the slow-growing group. In conclusion, the observed root-associated fungi and phenotypic characteristics in young Norway spruces may play a role in their long-term growth rate. This suggests that the early interactions between spruces and fungi could potentially influence their growth trajectory.</p>
Consistent Modeling of GS 1826-24 X-Ray Bursts for Multiple Accretion Rates Demonstrates the Possibility of Constraining rp-process Reaction Rates
<p>MESA inlists and run_star_extras associated with <a href="https://ui.adsabs.harvard.edu/#abs/2018arXiv180505552M/abstract">Meisel (2018)</a>. MESA version 9793.</p> <p>Publication DOI: <a href="https://doi.org/10.3847/1538-4357/aac3d3">10.3847/1538-4357/aac3d3</a></p>
FRB Mock Catalog and Reproduction Package for "Birth and Evolution of Fast Radio Bursts: Strong Population-Based Evidence for a Neutron-Star Origin"
<h3>Quickstart: FRB Mock Catalog</h3> <p>A simulated 1-day catalog of one-off FRBs, that allows users to access the FRB population without installing the entire frbpoppy package. Download and unzip 1_Day_FRB_Sky_on_Earth.txt.zip (175 MB). This human and machine readable file contains 3.5E6 FRBs that are brighter than 0.01 Jy ms, the best limit in one-off FRB detection currently. The simulated catalog is produced by the perfect telescope in frbpoppy, free of selection effects, that observed 4pi of sky for 24 hrs, with minimum detectable fluence 0.01 Jy ms, for the best-fit no-delay SFR model. This file can be read using the accompanying jupyter notebook "starting_with_mock_catalog.ipynb".</p> <p>If you use this, please cite Wang & van Leeuwen 2024 (A&A), <a href="https://doi.org/10.1051/0004-6361/202450673">https://doi.org/10.1051/0004-6361/202450673</a></p> <h3>Reproduction package for the paper "Birth and Evolution of Fast Radio Bursts: Strong Population-Based Evidence for a Neutron-Star Origin"</h3> <p>ReproductionPackage.zip is a basic reproduction package for the paper "Birth and Evolution of Fast Radio Bursts: Strong Population-Based Evidence for a Neutron-Star Origin" by Wang & van Leeuwen (2024).</p> <p> * arXiv: [<a href="https://arxiv.org/abs/2405.06281">2405.06281</a>] <br> * DOI: [<a href="https://doi.org/10.1051/0004-6361/202450673">10.1051/0004-6361/202450673</a>] </p> <h3>Installation</h3> <p>First pull or download and `frbpoppy` from <https://github.com/TRASAL/frbpoppy>.<br>Then download `ReproductionPackage.zip` and extract it starting in the frbpoppy/ base directory.<br>The scripts to produce the Figures are found in folder `frbpoppy/tests/markov_chain_monte_carlo/`.<br>The data used for these Figures resides in folder `frbpoppy/data/populations/mcmc/`.</p> <h3>Software</h3> <p>The methods and software packages used to produce the results are listed in the paper (including links to the relevant publications and/or packages):<br> FRBPOPPY: <https://github.com/TRASAL/frbpoppy><br> TRASAL: <https://github.com/TRASAL></p> <h3>Raw Data</h3> <p>The data are publicly available at<br> https://www.wis-tns.org/</p> <p> </p>
Inlists for "Rethinking Thorne-Żytkow Object Formation: The Fate of X-ray Binary LMC X-4 and Implications for Ultra-long Gamma-ray Bursts"
<div> <div> <div> <p>We use the MESA Isochrones and Stellar Tracks (MIST) package (Dotter 2016; Choi et al. 2016) with MESA v7503 (Paxton et al. 2011, 2013, 2015) and mesasdk x86_64-linux-20141212 revision 245. </p> </div> </div> </div>
5-Class Burst C-VEP with Dry EEG
<p><strong>Participants</strong></p> <p>The experiment was conducted with twenty four healthy volunteers (4 women, mean age = 29.3 years, SD = 7.5), all students and staff at ISAE-SUPAERO. None of the participants reported any of the exclusion criteria (neurological antecedents, being under psychoactive medication at the time of the study) and had normal or corrected-to-normal vision. The study was approved by the ethics committee of the University of Toulouse (CER approval number 2023-749) and was carried in accordance with the declaration of Helsinki. Participants gave informed written consent prior to the experiment</p> <p><strong>Experimental Protocol</strong></p> <p>Participants were comfortably seated and instructed to read and sign the informed consent. EEG data were recorded using the dry 8-electrodes Enobio system at a sample rate of 500Hz to record the surface brain activity. The 8 electrodes were positioned over the occipital and parieto-occipital sites: PO7, O1, O2, O3, PO8, PO3, POz, PO4. EEG data and markers were synchronized during recording using Lab Streaming Layer. Once equipped with the dry 8-electrode EEG system, volunteers were asked to focus on five targets that were cued sequentially in a random order for 0.5s, followed by a 2.2s stimulation phase, before a 0.7s inter-trial period. The cue sequence for each trial was pseudo-random and different for each block. After each block, a pause was observed and subjects had to press the space bar to continue. The participants were presented with fifteen blocks of five trials for each of the three conditions (Gabor-based textures, Ricker-based textures or Plain stimuli). The stimuli were presented on the following LCD 24.5'' monitor: Iiyama Gold Phoenix G-Master GB2590HSU-B1, 1920x1080 pixels, 400 cd/m², and the refresh rate has been set to 60Hz.</p> <p><strong>Preprocessing and Lag Correction<br></strong></p> <p>No pre-processing was applied on these data, and they have been neither sliced or epoched, although it remains possible to do so with the help of the markers. However, note that the Enobio streaming system we used introduced a constant 80ms lag in its data. The data provided in the dataset has not been corrected as they we only present raw data without modifications. We advise users of this dataset to correct this by shifting the EEG data 80ms for precise timing.</p> <p><strong>Electrode Location and Naming</strong></p> <p>In the dataset files, electrodes are named EEG001, ..., EEG007, the generic naming of the electrodes with the Enobio system we used. We provide along the dataset files a .loc file to map these generic names to standard 10-20 naming scheme and their respective location.</p>
Dataset corresponding to "Comprehensive analysis of a dense sample of FRB 121102 bursts"
<p>Raw dataset corresponding to publication: <a href="https://ui.adsabs.harvard.edu/abs/2021arXiv210705658A/abstract">"Comprehensive analysis of a dense sample of FRB 121102 bursts"</a>. The dataset consists of raw filterbank format files from the two observations.</p>
VPM Burst and Survey Data first release
<p>VPM Burst and Survey Data for Marshall et al [2021], submitted to Earth and Space Sciences</p> <p>This data covers survey data on 06/28/2020, and a burst data collection of 06/14/2020. This data has been approved for public release by AFRL specifically for this publication.</p> <p>Other VPM data will be released by AFRL in the near future.</p>
VPM 8-17 Burst Collection Data
<p>VPM Burst data for Reid et. al 2022 in .xml and .mat format.</p> <p>This VPM burst data collection on 08/17/2020 has been approved for public release by AFRL specifically for this publication.</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.