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206 results for “corona”
Dataset: Evolution of large Venusian coronae inferred from structural analyses and the presence of low-angle faults in chasmata
<p>The vector datasets mentioned in this article are available. You can find the Magellan SAR data and the Global Topography Data Records (GTDR) on NASA's Planetary Data System (PDS) website (specific links can be found on https://pdsgeosciences.wustl.edu/missions/magellan/index.htm). In addition, the stereo-derived topography dataset of Herrick et al. 2012 is also available on their personal website https://sites.google.com/alaska.edu/robertherrick/resources/stereo-derived-topography-for-venus.</p>
Reproduction package for the paper 'Evidence for a dynamic corona in the short-term time lags of black hole X-ray binary MAXI J1820+070'
<p>This is a basic reproduction package for the paper 'Evidence for a dynamic corona in the short-term time lags of black hole X-ray binary MAXI J1820+070', Bollemeijer et al., 2024, MNRAS, 528, 558-576.</p> <ul> <li>This reproduction package aims for open science, with the internal API designation of 'Gold'.</li> <li>Authors: Niek Bollemeijer, Phil Uttley, Arkadip Basak, Adam Ingram, Jakob van den Eijnden, Kevin Alabarta, Diego Altamirano, Zaven Arzoumanian, Douglas J.K. Buisson, Andrew C. Fabian, Elizabeth Ferrara, Keith Gendreau, Jeroen Homan, Erin Kara, Craig Markwardt, Ronald A. Remillard, Andrea Sanna, James F. Steiner, Francesco Tombesi, Jingyi Wang, Yanan Wang and Abderahmen Zoghbi</li> <li>Paper DOI: https://doi.org/10.1093/mnras/stad3912</li> <li>Arxiv DOI: https://doi.org/10.48550/arXiv.2312.09835</li> <li>Published in the Monthly Notices of the Royal Astronomical Society (date of acceptance: 2023/12/12)</li> </ul> <h2>Raw Data</h2> <ul> <li>Raw event files for the described NICER observations can be obtained from the HEASARC at https://heasarc.gsfc.nasa.gov/cgi-bin/W3Browse/w3browse.pl. Select NICER as the telescope and search for MAXI_J1820+070.</li> <li>We used HEASoft v6.28 with standard reprocessing settings to obtain event lists to make light curves. See paper for details.</li> </ul> <h2>Software</h2> <ul> <li>Linux Ubuntu 22.04.</li> <li>Jupyter Notebook (7.0.7)</li> <li>Programming languages used: Python (3.12.1)</li> <li>Python packages used: numpy (1.26.3), matplotlib (3.8.2), scipy (1.12.0), astropy (6.0.0)</li> </ul> <h2>Figures and Tables</h2> <ul> <li>Figures can be reproduced from the ./figures/ folder.</li> <li>All material and data used are available as intermediate data products.</li> <li>Jupyter notebooks (.ipynb files) can be used to make all figures. Running all cells at once does not work, but you can choose the figure you want to remake and executing the relevant cells will result in those figures.</li> </ul> <h2>Intermediate data products</h2> <ul> <li>The light curve arrays that are made in the first few cells of the main Jupyter Notebook can be found in 'datafiles.zip'. </li> <li>The parameters for the Lorentzian fits of the power spectra and the grouping of different observations can be found in 'qpofitsc.txt' and 'obsidsa.txt', respectively, in the same zipped folder.</li> </ul> <h2>End-to-End analysis scripts</h2> <ul> <li>The three Jupyter notebooks that have been added can be used to make the figures and reproduce the main results of the paper. Evidence_for_a_dynamic_corona_main.ipynb is about the main body of the paper, Evidence_for_a_dynamic_corona_energy_bands.ipynb is used for a part of the Discussion involving multiple narrow energy bands and Evidence_for_a_dynamic_corona_sim.ipynb is about the simulations described in Appendix A.</li> </ul>
Source code and experimental data of human brain tissue (visual cortex, corona radiata) for poro-viscoelastic parameter identification
<p>Computer code and experimental data that we used for our inverse parameter identification of poro-viscoelastic material parameters for two different brain regions: visual cortex (gray matter) and corona radiata (white matter). The experimental data comprises large-strain cyclic loading and compression/tension relaxation. For details see the corresponding publication: "Model-driven exploration of poro-viscoelasticity in human brain tissue: Be careful with the parameters!".</p> <p>Further explanation regarding the specimen preparation, experimental setup, as well as the assignment of regions and governing regions can be found in Hinrichsen, J., Reiter, N., Bräuer, L. et al. Inverse identification of region-specific hyperelastic material parameters for human brain tissue. Biomech Model Mechanobiol (2023). <a href="https://doi.org/10.1007/s10237-023-01739-w" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s10237-023-01739-w</a>.</p> <p>The file "<span>nonlinear-poro-viscoelasticity.cc</span>" contains our C++ Finite Element code based on the open source library deal.II. It is accompanied by an exemplary parameter file.</p> <p><strong>Funding:</strong> The support from the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) through the grants BU 3728/1-1, BU 3728/3-1, STE 544/70-1 as well as through project number 460333672 CRC1540 Exploring Brain Mechanics is gratefully acknowledged.</p>
Dataset for Evidence of Topographic Change Recorded by Lava Flows at Atete and Aruru Coronae on Venus
<p>GIS shapefiles, python script, and .csv files for Evidence of Topographic Change Recorded by Lava Flows at Atete and Aruru Coronae on Venus. Submitted to JGR: Planets </p>
The corona of a fully convective star with a near-polar flare
<p>Raw XMM-Newton EPIC data, data reduction scripts for XMM-SAS, and reduced images and spectra extracted with XSPEC. The observations include the X-ray emission of TIC 277539431, a rapidly rotating M7 dwarf star that produced a polar flare in 2021, observed by the Transiting Exoplanet Survey Satellite (see <a href="https://ui.adsabs.harvard.edu/abs/2021MNRAS.507.1723I">Ilin et al. 2021</a>).<br> <br> Publications based on this data set will be linked as they appear.</p>
SAFEty Study of Early Infusion of Vitamin C for Treatment of Novel Coronavirus Acute Lung Injury (SAFE EVICT CORONA-ALI)
ClinicalTrials.gov study NCT04344184. IPD Sharing: NO. Countries: 1. Publications: 10.
Venus coronae activity classification
<p>This is a KML file based on the coronae classification that accompanies the manuscript "Corona structures driven by plume-lithosphere interactions and evidence for ongoing plume activity on Venus" by Gülcher et al. (2020) <em>(Nature Geoscience, </em><strong>13</strong>, 547-554, <a href="https://doi.org/10.1038/s41561-020-0606-1">https://doi.org/10.1038/s41561-020-0606-1</a><em>)</em>. The final version relates to the published manuscript, and includes more data points and an improved analysis compared to the first version (review round) than the first version. This KML file includes all of the coronae that were analysed in this study (from Table 3) and can be used in Google Earth or Google Venus. Markers are color-coded depending on the inferred corona activity (Table 2).</p>
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>
A comparison of human and mouse protein corona profiles of functionalized SiO2 nanocarriers
<p>Proteomic evaluation of the protein corona formed on SiO2 nanoparticles with human and mouse plasma.</p>
Corona speeches mini corpus
<div> <div> <div> <p>This data collection (mini corpus) collects fifteen speeches of three speakers, Emmanuel Macron, Pedro Sánchez, and Angela Merkel, with five speeches per speaker. Four of their speeches are from between March and June, 2020, and one speech per speaker is from October or November, 2020. The speeches share important parallels in content and the speakers have similar intentions.</p> </div> </div> </div>
Corona BAT
After the start of the Corona pandemic in the world, the first and main media discussion was bat soup! The Chinese have been eating this soup for years and now it has suddenly become a deadly virus. However, doctors believe that no virus can transmit directly from a bat to a human and requires an intermediate host cell. And this is a fantasy and imaginative 3D design that I designed after these conversations and rumors and the start of vaccination in the ZBRUSH. Source: Objaverse 1.0 / Sketchfab
Models (atmospheric and atomic) for the P-CORONA code together with some sample runs.
<p>The dataset comprises some sample example runs with all necessary input parameters and corresponding outputs expected from P-CORONA, along with a few atomic and atmospheric models. Description of the files included is given in the README.txt file.</p> <p>The P-CORONA code can be obtained at <a href="https://gitlab.com/polmag/P-CORONA">https://gitlab.com/polmag/P-CORONA</a> and its documentation at <a href="https://polmag.gitlab.io/P-CORONA/">https://polmag.gitlab.io/P-CORONA/</a></p> <p>The version of P-CORONA used to generate this dataset (which corresponds to the commit #85d7552 in <a href="https://gitlab.com/polmag/P-CORONA">https://gitlab.com/polmag/P-CORONA</a>) can be found at: <a href="https://doi.org/10.5281/zenodo.15195460">https://doi.org/10.5281/zenodo.15195460</a></p>
Forecasting of the Geomagnetic Activity for the Next 3 Days Utilizing Neural Networks Based on Parameters Related to Large-scale Structures of the Solar Corona
<p>These are supplementary data for the paper "Forecasting of the Geomagnetic Activity for the Next 3 Days Utilizing Neural Networks Based on Parameters Related to Large-scale Structures of the Solar Corona". They are:</p> <ul> <li>Python code to forecast Kp index</li> <li><span>Code to construct a nerual network model</span></li> </ul>
BridgeDb: Human and SARS-related corona virus gene/protein mapping database derived from Wikidata
<p>Gene/Protein mappings for human and SARS-related coronaviruses. Data is derived from Wikidata. Mappings from Wikidata to NCBI Gene, RefSeq, UniProt, and Guide to Pharmacology Target are provided in the .bridge file.</p> <ul> <li>179 Wikidata (Wd) identifiers</li> <li>82 Uniprot-TrEMBL (S) identifiers</li> <li>70 NCBI Gene (L) identifiers</li> <li>66 RefSeq (Q) identifiers</li> <li>9 Guide to Pharmacology Target (Gpt) identifiers</li> </ul> <p>Virus name was added as attribute ("virus") to Wikidata Xrefs.</p>
Raw data and metadata of SiO2 NP physicochemical characterisation, in vitro investigations and in silico predictions on protein corona formation
<p>Raw data and metadata of SiO<sub>2</sub> NP physicochemical characterisation, <em>in vitro</em> investigations and<em> in silico</em> predictions on protein corona formation. Data repository for Hasenkopf I. et al., 2022. Please note that “pristine” NPs in metadata are referred to as “bare” NPs in the paper.</p> <p>1. NP phys-chem raw data (xlsx-formatted) + corresponding metadata (xlsx-formatted)</p> <p>2. NP-protein binding raw data (xlsx-formatted) + corresponding metadata (xlsx-/pdf-formatted, ImageLab-formatted analyses, pdf-formatted ImageLab reports)</p> <p>3. huRBL mediator release raw data (xlsx-formatted) + corresponding metadata (pdf-formatted)</p> <p>4. <em>in silico</em> modelling raw data (xlsx-formatted) + corresponding metadata (config-/map-formatted)</p> <p> </p>
Aesthetic responses to the Covid-19 pandemic: The corona-performance No Problama. A case study
<p>The video files document the artistic content of the corona performance <em>No problama. </em>Each video presents music, verbal texts and photos from work processes and the final performance on 21 May 2021. The performance mirrors events, emotions and individuals' responses to the crisis during the first weeks of the lockdown in Norway in March 2020. Music students, children, teachers and dancers took part in the project.</p>
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>
Electrocharging face masks with corona discharge treatment
<p></p><p>We detail an experimental method to electrocharge N95 facepiece respirators and face masks (FMs) made from a variety of fabrics (including non-woven polymer and knitted cloth) using corona discharge treatment (CDT). We present practical designs to construct a CDT system from commonly available parts and detail calibrations performed on different fabrics to study their electrocharging characteristics. After confirming the post-CDT structural integrity of fabrics, measurements showed that all non-woven polymer electret and only some knitted cloth fabrics are capable of charge retention. Whereas polymeric fabrics follow the well-known isothermal charging route, ion adsorption causes electrocharging in knitted cloth fabrics. Filtration tests demonstrate improved steady filtration efficiency in non-woven polymer electret filters. On the other hand, knitted cloth fabric filters capable of charge retention start with improved filtration efficiency which decays in time over up to 7 h depending on the fabric type, with filtration efficiency tracking the electric discharge. A rapid recharge for a few seconds ensures FM reuse over multiple cycles without degradation.</p><p></p>
Aesthetic Responses to the Covid-19 Crisis: The corona performance No Problama Video/Audio Documentation
<p>The video files document the artistic performance <em>No Problama, a coronavirus story from Homborsund </em>created during the Covid-19 crisis in Grimstad, Norway in 2021. Each video presents components of the performance which are described and analysed in the article <strong>Aesthetic responses to the Covid-19 pandemic: The Corona-performance <em>No Problama 2021</em></strong> which belongs to the Routledge Open Access Collection<em> Art and Crisis. </em>All participants have given their written consent for the publication.</p>
Acoustic activity of bats at power lines correlates with relative humidity: A potential role for corona discharges
<p><span>With the ever-increasing dependency on electric power, electrical grid networks are expanding worldwide. Bats exhibit a wide diversity of foraging and flight behaviours, and their sensitivity to anthropogenic stressors suggests this group is very likely to be affected by power lines in a myriad of ways. Yet the effects of power lines on bats remain unknown. Here we assessed the responses of insectivorous bats to very-high-voltage power lines (>220 kV, VHVPL). We implemented a paired sampling design and monitored bats acoustically at 25 pairs, one pair consisting of one forest edge near to VHVPL matched with one control forest edge. Relative humidity mediates the effects of power lines on bats: we detected bat attraction to VHVPL at high relative humidity levels and avoidance of VHVPL by bats at low relative humidity levels. We argue that the former could be explained by insect attraction to the light emitted by VHVPL due to corona discharges while the latter may be due to the physical presence of pylons/cables at foraging height and/or because of electromagnetic fields. Our work highlights the response of bats to power lines at foraging habitats, providing new insight into the interactions between power lines and biodiversity.</span></p>
ScienceDex guides
Understand access before you commit
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.