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1,477 results for “Comet”
MARSIS Transient Layer Detections during Comet Siding Spring Event 2014
<p><strong>This data is used in the publication, "Prolonged Lifetime of the Transient Ionized Layer in the Martian Atmosphere Caused by Comet Siding Spring" by Luppen et al. 2020.</strong></p> <p>MARSIS_transient_layer_detections.csv: The data contained in this file are measurements from the Mars Express spacecraft's MARSIS instrument, collected during the Comet Siding Spring flyby event in 2014. The comet is known to have deposited a large amount of material into Mars' ionosphere, producing a transient layer of plasma that was noticed by multiple spacecraft instruments immediately following the comet's closest approach to the planet. The layer was originally thought to have had a lifetime of 1-2 days. Follow-up analysis, represented in this data file, indicate that this layer could have lasted at least 7 days and as many as 32 days after closest approach, much longer than previously reported. Our results help to constrain models of metal ion chemistry in the Martian upper atmosphere.</p> <p>MARSIS_regular_ionospheric_measurements.csv: The data contained in this file are measurements of the regular ionosphere during the comet Siding Spring event. These data are plotted in Figures 3 and 4 of the manuscript.</p> <p>MAVEN_normalized_euv_irradiance.csv: The data contained in this file are measurements collected from the Extreme UltraViolet (EUV) monitor that is part of the Langmuir Probe and Waves (LPW) instrument on the MAVEN spacecraft collected during the comet Siding Spring event. These data are plotted in Figure 5 of the manuscript.</p> <p>FISM_normalized_euv_irradiance.csv: The data contained in this file are measurements collected from the Flare Irradiance Spectral Model (FISM) collected during the comet Siding Spring event. These data are plotted in Figure 5 of the manuscript.</p> <p>MARSIS_averaged_data_figure4.csv: The data contained in this file are derived products from the MARSIS_regular_ionospheric_measurements.csv data. A running mean was calculated with 2 degree SZA bins, the SZA centers of those bins were identified, and a standard deviation was calculated for each bin. These data are plotted in Figure 4 of the manuscript. Note that we make use of a shaded region signifying a 3 sigma standard deviation.</p>
Comet Figure Depository
<p>This depository contains figures made by Herbert Gunell to illustrate some aspects of comet plasma physics.</p>
Herbarium specimen image of Cometes surattensis Burm.f., part of the collection of National Museum of Natural History, Paris
Part of a training dataset of scanned herbarium specimens. The data paper and a summary landing page will be published on Zenodo as it gets published.<br><br>Content of this deposition:<br><br>- A JSON-LD datafile listing the label data associated with this herbarium specimen. The Darwin and Dublin Core data standards are used for most values.<br>- A JPEG image file of the scanned herbarium sheet.
Constraints used for realization of SKUA implicit model of comet 67P Churyumov-Gerasimenko
<p>#The following files are related to the paper:</p> <p>#"Global-scale brittle plastic rheology at the cometesimal merging of comet 67P/Churyumov-Gerasimenko"</p> <p>#by Marco Franceschi, Luca Penasa, Matteo Massironi, Giampiero Naletto, Sabrina Ferrari, Michele Fondriest,<br> #Dennis Bodewits, Carsten Güttler, Alice Lucchetti, Stefano Mottola, Maurizio Pajola, Imre Toth,<br> #Jacob Deller, Holger Sierks, Cecilia Tubiana</p> <p>#accepted for publication on the Proceedings of the National Academy of Sciences of the United States of America</p> <p>#doi:10.1073/pnas.1914552117</p> <p>#Data are surfaces and points used as constraints in the modelling described in the paper.</p> <p>#The folder contains the following files:</p> <p>BL_center.dxf - center of the ellipsoidal model of the Big Lobe (Penasa et al., MNRAS 2017)<br> BL_normals.dxf - normals to terraces visible on the surface of the Big Lobe<br> BL_outer_ellipsoid.dxf - shell of the Big Lobe ellipsoidal model (Penasa et al., MNRAS 2017) used as top constraint for the implicit modelling of the Big Lobe in SKUA/Gocad Structural Lab Plugin (Caumon et al., IEE Transactions on Geoscience and Remote Sensing 2013)<br> constraint surfs big lobe.dxf - constraint surfaces used for implicit modelling of the Big Lobe realized using SKUA/Gocad Structural Lab Plugin (Caumon et al., IEE Transactions on Geoscience and Remote Sensing 2013)<br> constraint surfs small lobe.dxf - constraint surfaces used for implicit modelling of the Small Lobe realized using SKUA/Gocad Structural Lab Plugin (Caumon et al., IEE Transactions on Geoscience and Remote Sensing 2013)<br> SL_center.dxf- center of the ellipsoidal model of the Small Lobe (Penasa et al., MNRAS 2017)<br> SL_normals.dxf - normals to terraces visible on the surface of the Small Lobe<br> SL_outer_ellipsoid.dxf- shell of the Small Lobe ellipsoidal model (Penasa et al., MNRAS 2017) used as top constraint for the implicit modelling of the Big Lobe in SKUA/Gocad Structural Lab Plugin (Caumon et al., IEE Transactions on Geoscience and Remote Sensing 2013)<br> SL_center.dxf- center of the ellipsoidal model of the Small Lobe (Penasa et al., MNRAS 2017)<br> BL_EMav.dxf - average shell of the Big Lobe ellipsoidal model (Penasa et al., MNRAS 2017)<br> SL_EMav.dxf - average shell of the Small Lobe ellipsoidal model (Penasa et al., MNRAS 2017)<br> BL_ILMav.dxf - average shell of the Big Lobe implicit model realized in SKUA/Gocad Structural Lab Plugin (Caumon et al., IEE Transactions on Geoscience and Remote Sensing 2013)<br> SL_ILMav.dxf - average shell of the Small Lobe implicit model realized in SKUA/Gocad Structural Lab Plugin (Caumon et al., IEE Transactions on Geoscience and Remote Sensing 2013)</p> <p><br> #April 2020</p>
COMETS survey data
<p>This dataset is an anonymized version of the survey data collected in the EU COMETS project (http://www.comets-project.eu/) on collective action in the energy domain. The survey database contains information on 206 Collective Action Initiatives (CAIs) located in each of the COMETS target countries (Belgium, Estonia, Italy, Netherlands, Poland, Spain) with entries ranging between 24 and 47 per country. Each record contains information on 5 main aspects: 1) the origin of CAIs (initiative takers, first supporters), 2) the CAIs' activities (e.g. renewable energy production, social inclusion), 3) participation and the organization (e.g. legal form), 4) the environment in which CAIs develop (e.g. the geographical level), and 5) support needs of CAIs (e.g. main barriers perceived).</p>
Engineering Dust Coma Model (EDCM) for ESA's Comet Interceptor mission to a dynamically new comet
<p>This data-set contains all results from the Engineering Dust Coma Model (EDCM) for ESA's Comet Interceptor (CI) mission to a dynamically new comet.</p> <p>A full description of the model behind the data can be found in the peer-reviewed paper <strong>Marschall, Zakharov et al. (2022), <a href="https://doi.org/10.1051/0004-6361/202243648">https://doi.org/10.1051/0004-6361/202243648</a>.</strong> Please cite this data-set and the paper when using the data.</p> <p>Contemporary numerical models of dusty-gas coma are used to obtain spatial distribution of dust for a given set of parameters. By varying parameters within a range of possible values we obtain an ensemble of possible dust distributions. Then, this ensemble is statistically evaluated in order to define the most probable cases and hence reduce the dispersion. This ensemble can be used to estimate not only the likely dust abundance along e.g. a fly-by trajectory of a spacecraft but also quantify the associated uncertainty.</p> <p>The dust environment assessment for the case when the target comet is not known beforehand (or when its parameters are known with large uncertainty) is critical for spacecraft safety and planning. The EDCM provides an assessment of dust environment for the CI mission.</p>
Comet 62P/Tsuchinshan
<h1>Comet 62P/Tsuchinshan</h1> <h2>A photometric investigation of an evolving dust production rate and other cometary properties at small distances post-perhelion</h2> <p>Data accompanying code for a final year research project: Github: https://github.com/daraghhollman/Comet62P-Tsuchinshan</p> <p>Supervisor: Dr. Antonio Martin-Carillo</p>
Optical images of comets C/2021 A1 (Leonard) (left) and C/2022 E3 (ZTF) (right)
<p>Optical images of comets C/2021~A1 (Leonard) (left) and C/2022~E3 (ZTF) (right), (c) N. Biver.<br> Left panel: telescopic image of comet C/2021~A1 (Leonard) on 29 November 2021 at 4:41 UTC (94~s exposure).<br> Right panel: telescopic image of comet C/2022~E3 (ZTF) on 31 January 2023 at 4:53 UTC (126~s exposure).<br> Images were taken at the focus of a 40.7-cm telescope at F/D=4.3 from Eure-et-Loir (France).<br> Field of view is 45x45 arcmin, North is up.</p>
Images for a publication "Lossless Hyperspectral Image Compression in Comet Interceptor and Hera Missions with Restricted Bandwith" by Skog et al.
<p>This archive contains following simulated hyperspectral datacubes for ASPECT (Asteroid Spectral Imager) instrument on ESA Hera mission used in the manuscript:</p> <ul> <li>ASPECT_simulated_data_Vis.zip - ASPECT visible channel datacubes noisless and with simulated instrument noise for three exposure times indicated in the file name.</li> <li>ASPECT_simulated_data_NIR.zip - ASPECT near-infrared channels datacubes noisless and with simulated instrument noise for three exposure times indicated in the file name.</li> <li>ASPECT_simulated_data_Vis_NIR_filtered.zip - Same ASPECT visible and near-infrared channels datacubes filtered with noise filters indicated in the file name. The visible datacubes have designation Vis in file name. The remaining datacubes without channel designation are near-infrared ones.</li> </ul> <p>The recorded scene and imaging distance is indicated in file name. D1 - Didymos asteroid, D2 - Dimorphos asteroid. All datacubes are in Matlab (.mat) format and with single wavelength .png preview included. For details please check associated manuscript.</p>
Comet C/2020F3 (Neowise) with separate dust and ion gas tails and a green glowing coma, by Dietmar Gutermuth, Germany
<p>Second place in the 2021 IAU OAE Astrophotography Contest, category Comets.</p> <p>Comets have a very interesting structure comprising of four main parts: the nucleus, composed of rock, dust and frozen gases, typically spanning a few kilometres, although bigger ones have been observed; a small atmosphere of gas surrounding the nucleus (only present when the comet approaches its closest point to the Sun), called coma; and the two distinctive cometary tails (there is at times third tail). The green colour of the coma is due to carbon and nitrogen present in the coma reacting with the Sun’s ultraviolet radiation. The tail that we are mostly used to observing – dust tail and is composed of micron sized dust particles, the second tail composed of charged particles – ion or gas tail. The tails are released only when the comet approaches the Sun at a distance where the heat and radiation emanating from our star is intense enough to vaporize the frozen gases. The dust tail is curved, while the gas tail is straight and always points away from the Sun as this is carried by the solar wind - flow of charged particles emitted by the Sun. As comets are formed by leftover material, they carry with them important information about the early stages of the Solar System’s formation. This beautiful image shows the comet C/2020 F3 (Neowise), as seen from Germany in July 2020, with three of the four structures clearly visible – coma, gas, and dust tail.</p> <p>Credit:<strong> </strong>Dietmar Gutermuth/IAU OAE</p>
Global dataset of Sentinel-1 azimuth shift values and derived horizontal displacements from COMET LiCSAR system
<p>For this dataset, we were exploiting spatio-temporal behaviour of side-products of coregistration of Sentinel-1 radar images, that were generated in last couple of years, within the COMET LiCSAR system for computing interferograms. These side-products are sub-pixel (azimuth) offsets, allowing for a very precise match of the images (up to a 0.0005 pixels). We have shown that by a proper approach, these offsets can be used as measurements of large-scale horizontal motion - in our case, using 250x250 km resolution cells, we aimed to measure motion of tectonic plates. Our measurements are fitting well to the latest ITRF2014 plate motion model, although the E component contains an extra overall shift, not explained at the moment of sharing the outputs.</p> <p>The sub-pixel offsets (result of intensity cross correlation and spectral diversity estimation, w.r.t. precise orbit ephemerides) were corrected for solid Earth tides and ionospheric phase advance, using external models. The code shared within the dataset includes the correction functions. The data contains both original and corrected values. Also, the data contains ITRF2014 plate motion values.</p> <p>The dataset contains outputs from both COMET LiCSAR frame units and their decomposition into N, E motion vectors, as well as some metadata on the frames that are necessary for the reprocessing if needed.</p>
Comparing an Operation to Monitoring, With or Without Endocrine Therapy (COMET) Trial For Low Risk DCIS
ClinicalTrials.gov study NCT02926911. IPD Sharing: YES. Countries: 1. Publications: 8.
Hidden comet-tails of marine snow impede ocean-based carbon sequestration
Open the record for dataset details and reuse information.
Dataset for Waves during Rosetta's close flyby of comet 67P
<p>All data used in the article Ion acoustic waves near a comet nucleus: Rosetta observations at comet 67P/Churyumov-Gerasimenko by Herbert Gunell, Charlotte Goetz, Elias Odelstad, Arnaud Beth, Maria Hamrin, Pierre Henri, Fredrik L. Johansson, Hans Nilsson, and Gabriella Stenberg Wieser ( Annales Geophysicae, vol. 39, 53–68, 2021, doi: 10.5194/angeo-39-53-2021 ) can be found in this package together with the matlab m-files that were used to produce the figures in that article.</p> <p> </p>
Data for "Spacecraft charging simulations of probe B1 of Comet Interceptor during the cometary flyby"
<p>Simulation results of the spacecraft-plasma interactions of probe B1 of Comet Interceptor obtained with the Spacecraft Plasma Interaction Software (SPIS) and the ElectroMagnetic Spacecraft Environment Simulator (EMSES). Detailed descriptions of the simulations and the results are given in the paper "Spacecraft charging simulations of probe B1 of Comet Interceptor during the cometary flyby" by Bergman et al.</p><p>Contact email: sofiabergmanphd@gmail.com</p>
Big Dipper and Comet Neowise C2020 F3
<p>Honorable mention in the 2023 IAU OAE Astrophotography Contest, category Time-lapses of rotation of Big Dipper or Southern Cross: Big Dipper and Comet Neowise C2020 F3, by Giorgia Hofer.</p> <p>This time-lapse documents the trajectory of the iconic Big Dipper across three frames taken in July 2020, earning an honourable mention in the category of Time-lapses of rotation of Big Dipper or Southern Cross. Captured from three locations in Italy, Tre Cime di Lavaredo Auronzo di Cadore, Monte Rite, Cibiana di Cadore, and Casera Razzo, Vigo di Cadore, this visual odyssey showcases the captivating journey of the Big Dipper with the addition of trails of stars painting a celestial canvas. It not only traces the path of this renowned asterism but also features the rare appearance of comet Neowise C/2020 F3, an extraordinary event that graced our skies during July 2020.</p> <p>Credit: Giorgia Hofer/IAU OAE (<a href="https://creativecommons.org/licenses/by/4.0/legalcode">CC BY 4.0</a>)</p>
Comet seeker
The presented item is a refracting telescope on a tall equatorial mount tripod. The tube is made of wood, the 8 cm diameter objective and the retractable eyepiece are fixed in brass rings at opposite ends of the tube. The spotting scope is attached to the declination axis, which ends in a spherical metal counterweight on the other side. The declination axis is movably attached to the hour-angle axis. The telescope was of compact size and offered quick disassembly, making it a convenient portable instrument. It was brought to the Astronomical Observatory in Kraków in 1834 by Józef Łęski. Time and Place of creation: 1832, Vienna, Munich, Germany https://muzea.malopolska.pl/en/objects-list/2780 Inventory number: 16653; 1949/V Museum: Jagiellonian University Museum Collegium Maius Digitalisation: Digitalisation: RDW MIC, Virtual Małopolska project Source: Objaverse 1.0 / Sketchfab
Cockpit of De Havilland DH-106 Comet 4C (1959)
This is a 3D scan done with an iPhone 12 Lidar and http://3dScannerApp.com. Artifact hosted at the Restoration Center of the Seattle Museum of Flight. First flown in 1949, the British-made Comet was the world's first jet airliner to go into service. It was designed to give Great Britain a definite edge in post-World War II transport and it was an immediate success. Other commercial aircraft of the period, such as Douglas's DC-6, could not compete with the technological and performance superiority of the Comet. However, just when it seemed the Comet had sewn up the commercial-transport market, tragedy struck. Two deadly crashes within 16 weeks of each other revealed a design flaw that would eventually ground the original Comets for good. By the time the flaw had been corrected and the new Comet 4C had been produced, de Havilland's jet had lost its lead to the Boeing 707 and the Douglas DC-8. More info: https://www.museumofflight.org/aircraft/de-havilland-dh-106-comet-mk-4c Source: Objaverse 1.0 / Sketchfab
Polluting white dwarfs with perturbed exo-comets
<p>MESA inlists associated with <a href="https://ui.adsabs.harvard.edu/#abs/2017MNRAS.469.2750C/abstract">Caiazzo et al. (2017)</a>. MESA version 5456.</p> <p>Publication DOI: <a href="https://doi.org/10.1093/mnras/stx1036">10.1093/mnras/stx1036</a></p>
Spectra of the full frequency range (147-272 GHz) of comets C/2021 A1 (Leonard) and C/2022 E3 (ZTF)
<p>The following pages present the 147–185 GHz (λ = 2mm) and 210–272 GHz (λ = 1mm) FTS spectra of comets C/2021 A1<br>(Leonard) obtained between 8.4 and 13.7 Dec. 2021 (1–2) and C/2022 E3 (ZTF) obtained between 3.7 and 7.0 February 2023 (3–4)<br>with the IRAM 30-m telescope. The wavelength domains covered are plotted by series of ≈ 2 − 2.5 GHz windows with a spectral<br>resolution smoothed to 0.78 MHz. Only spectra obtained within 2 ′′ of the nucleus were taken into account, and the strongest lines are identified. We note the much higher noise level around the frequency of the atmospheric H 2 O line at 183310 MHz targeted in comet C/2022 E3. In the case of comet C/2022 E3, spectra having been mostly obtained in PSW mode, residuals of atmospheric lines are present in the spectrum and the strongest ones have been blanked. Identification of lines at the position of stronger peaks (≈ 3σ) have been added to the spectra. Not all correspond to real detections and alternatively some detections are missed in the automatic process due to variable noise across the bandwidth plotted.</p>
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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.