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4,634 results for “orbit”
Sensing Reflector Height Variation on Seconds-Scale Using Low Earth Orbit Interferometric Reflectometry (LEO-IR)
<p><span>The simulated data (SNR, elevation and azimuth angles etc.) used in this study.</span></p> <p><span>File name format: arc number for GNSS (or LEO) <span>constellation</span> '_' PRN '_' 'seg'+arc number for a GNSS (or LEO) satellite</span></p> <p><span>File content format: 1[year] 2[month] 3[day] 4[hour] 5[minute] 6[seconds] 7[elevation angle] 8[azimuth angle] 9[chang rate of elevation angle] 10[SNR] 11[rh_ref] 12[rhdot_ref] 13[t_seconds]</span></p> <p> </p>
Detection of an Earth-sized exoplanet orbiting the nearby ultracool dwarf star SPECULOOS-3
<p>Light curves and spectra of SPECULOOS-3 used in the research work presented in the Nature Astronomy article "Detection of an Earth-sized exoplanet orbiting the nearby ultracool dwarf star SPECULOOS-3"</p>
Solar Orbiter Cycle 25 Interplanetary Shock List
<p>This dataset contains a list of interplenatary shocks observed by Solar Orbiter during solar cycle 25. The catalog has been built as follows in the SERPENTINE project.</p> <p><a href="https://data.serpentine-h2020.eu/static/doc/Shock_Cycle25_Documentation.pdf">https://data.serpentine-h2020.eu/static/doc/Shock_Cycle25_Documentation.pdf</a></p> <p>Please refer to the SERPENTINE data centre for the latest (and best) version of the catalog.</p> <p><a href="https://data.serpentine-h2020.eu/catalogs/shock-sc25/">https://data.serpentine-h2020.eu/catalogs/shock-sc25/</a></p> <p> </p>
Data supplement to 'Orbital (Hydro)Climate Variability in the Ice-Free early Eocene Arctic'
<p>Data supplement to 'Orbital (Hydro)Climate Variability in the Ice-Free early Eocene Arctic'.</p> <ul> <li><strong>Table T1</strong>: Bulk magnetic susceptibility data.<br><br></li> <li><strong>Table T2</strong>: GDGT analysis results. Integrated peak areas of isoprenoid and branched GDGTs, several GDGT ratio's,SST and SubT data, and indicators for TEX86 outliers.<br><br></li> <li><strong>Table T3</strong>: Color analysis data. Mean greyscale values, generated on 1-cm resolution from the core picture.<br><br></li> <li><strong>Table T4</strong>: Palynology data. This file contains concentrations and relative abundances of low salinity tolerant dinoflagellate cysts, normal marine dinoflagellate cysts and terrestrial palynomorphs.<br><br></li> <li><strong>Table T5</strong>: Age-depth tie points. The age depth constraints based on the positions of ETM2, H2, and four identified eccentricity maxima in the pre-ETM2 interval.</li> </ul> <p>All reported data was generated on samples from Arctic Coring EXpedition (ACEX; IODP 302) Site M0004a, Core 27X.</p>
Investigating sensitivity of East Asian monsoon to orbital forcing during the Late Pliocene warm period
<p>CESM model outputs in a set of orbital sensitivity runs for the Late Pliocene.</p> <p>Only for the East Asia region</p> <p> </p>
Application of the OAM sorter to incident beams having different value of orbital angular momentum
<p>This dataset contains the characterization of an OAM sorter. The sorter has been tested inside the TEM and has been illuminated with vortex beams having different topological charge (as encoded in the filename).</p>
SherpaTT Orbiting Box
<p><em>This experiment with SherpaTT has been done in Morocco. SherpaTT orbits an object with the HCRU targeting the object. Stereo cameras are used to make a 3D reconstruction of the environment.</em></p>
The OmegaWhite Survey for Short-period Variable Stars. V. Discovery of an Ultracompact Hot Subdwarf Binary with a Compact Companion in a 44-minute Orbit
<p>MESA inlists and run_star_extras associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2017ApJ...851...28K">Kupfer et al. (2017)</a>. MESA version 9793.</p> <p>Publication DOI: <a href="https://doi.org/10.3847/1538-4357/aa9522">10.3847/1538-4357/aa9522</a></p>
PTF1 J082340.04+081936.5: A Hot Subdwarf B Star with a Low-mass White Dwarf Companion in an 87-minute Orbit
<p>MESA inlists and run_star_extras associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2017ApJ...835..131K">Kupfer et al. (2017)</a>. MESA version 8118.</p> <p>Publication DOI: <a href="https://doi.org/10.3847/1538-4357/835/2/131">10.3847/1538-4357/835/2/131</a></p>
Data for manuscript: The orbital anisotropy profiles of nearby globular clusters from Gaia Data Release 2
<p>We upload the data used in our paper here so that our results may be reproduced. We include the dataset of stars that survive our cuts, the profiles we plot, and the manual points selected as part of our CMD cut. See the paper for details. The first version of this paper is published on the arXiv with ID: arXiv:1903.11070. </p>
Images and plotting code : Stray light correction and enhancement of nocturnal low-light image of early-morning-orbiting Fengyun-3E satellite
<p>These are images to demonstrate the effectiveness of the algorithm and plotting code : Stray light correction and enhancement of nocturnal low-light image of early-morning-orbiting Fengyun-3E satellite. Readme.pdf will provide specific instructions about these folder compression packages.</p>
Supporting Data for "Extending GPU-Accelerated Gaussian Integrals in the TeraChem Software Package to f Type Orbitals: Implementation and Applications."
<p>Raw data and output files for "Extending GPU-Accelerated Gaussian Integrals in the TeraChem Software Package to f Type Orbitals: Implementation and Applications."</p>
Visualization of a black hole scattering and capture orbit
<div> <div>Numerical simulation of two black holes that scatter and then merge, emitting</div> <div>gravitational waves. Simulation with the SpEC code and wave extraction with the</div> <div>SpECTRE code by Oliver Long.</div> </div>
IMF clock angle proxy: orbital averaged magnetic field data from MAVEN in Martian magnetosheath
<p>The By and Bz components can be used as IMF clock angle proxy (IMF direction in MSO y-z plane). See the publication by Dong et al. 2019 for details: Dong, Y., Fang, X., Brain, D. A., Hurley, D. M., Halekas, J. S., Espley, J. R., et al. (2019). Magnetic field in the Martian magnetosheath and the application as an IMF clock angle proxy. <em>Journal of Geophysical Research: Space Physics</em>, 124, 4295–4313. <a href="https://doi.org/10.1029/2019JA026522">https://doi.org/10.1029/2019JA026522</a></p> <p>Formats: IDL save file and ASCII file</p> <p>Data descirption:</p> <p>Time span: Nov 11 2014 - May 21 2024</p> <p>Time: averaged unix time of MAVEN in magnetosheath of each s/c orbit</p> <p># of data points: # of data points (time resolution: 4s) taken in magnetosheath of each s/c orbit. Suggest using only # of data points >150 (i.e. duration > 10 min)</p> <p>Bx, By, Bz in MSO coordinate system</p> <p> </p>
Dataset for ''Tuning the proximity induced spin - orbit coupling in bilayer graphene/WSe2 heterostructures with pressure''
<p>This is the measurement dataset for the article ''Tuning the proximity induced spin - orbit coupling in bilayer graphene/WSe2 heterostructures with pressure''. The .py file is also included which is used for the modelling.</p>
Small orbital forcing changes alter the ocean circulation of Earth's next future supercontinent: Simulations
<p>This dataset contains the simulations from the manuscript "Small orbital forcing changes alter the ocean circulation of Earth's next future supercontinent".</p> <p>From the methods section of the manuscript:<br>The simulations are carried out using the fully-coupled ocean-atmosphere general circulation model ROCKE-3D version Planet 1.0 (R3D1) (Way et al., 2017). The model is run at a horizontal resolution of 4 x 5 degrees and simulations were integrated for 5000 and 7000 years for PD and future forcing, respectively, to ensure they were in equilibrium. The topography and bathymetry is the one used by Way et al. (2021) in their simulation 2 (Aurica). This includes a fully dynamic ocean 4252 m deep and land elevations close to present day mean topography and elevations between 1 and 858 m.<br>Due to high uncertainties in its future evolution, atmospheric composition is kept constant at year 1850 levels, following the setup in Way et al. (2021): the atmosphere is dominated by nitrogen with 21% oxygen, 285 ppmv CO2, 0.3 ppmv N2O and 0.79 ppmv CH4, and no aerosols or ozone are included.<br>Two simulations are presented: PD_Aurica which which has present-day day-length (24 hrs) and insolation (1361 Wm-2) and F_Aurica where we apply orbital forcing consistent with 250 Ma into the future - day length is increased by 0.5 hrs and insolation is increased by 2.6 Wm-2 (see Way et al., 2021). </p> <p>PD_Aurica corresponds to the output files with the following names: ANN4500-4999.*F_AURICA_RAND_PD_03.nc<br>F_Aurica corresponds to the output files with the following names: ANN6500-6999.*F_AURICA_RAND_PD_01.nc</p> <p>The diagnostic files including AGC, AIJ, AIJK and AIJL in the filename contain atmospheric diagnostics and outputs, whereas those that include OIJ, OIJL, OJL and OTJ contain ocean diagnostics and outputs.</p> <p><span><span><span><a href="https://science.gsfc.nasa.gov/author/533569006/35432">Way M. J.</a></span></span><span>, </span></span><span><span><span><a href="https://science.gsfc.nasa.gov/author/830545035/35432">I. Aleinov</a></span></span><span>, </span></span><span><span>D. S. Amundsen</span><span>, </span></span><span><span><a title="See all authors for this publication">et al.</a> </span></span> <span>2017.</span> <span> "Resolving Orbital and Climate Keys of Earth and Extraterrestrial Environments with Dynamics (ROCKE-3D) 1.0: A General Circulation Model for Simulating the Climates of Rocky Planets." </span> <em>The Astrophysical Journal Supplement Series</em> <strong>231</strong> <span><strong>(1)</strong>: </span> <span>12</span> <span> [<a href="http://dx.doi.org/10.3847/1538-4365/aa7a06">10.3847/1538-4365/aa7a06</a>]</span></p> <p><span><span><span><a href="https://science.gsfc.nasa.gov/author/533569006/42520">Way M. J.</a></span></span><span>, </span></span><span><span>H. S. Davies</span><span>, </span></span><span><span>J. C. Duarte</span><span>, </span></span><span><span><a title="See all authors for this publication">et al.</a> </span></span> <span>2021.</span> <span> "The Climates of Earth’s Next Supercontinent: Effects of Tectonics, Rotation Rate, and Insolation." </span> <em>Geochemistry, Geophysics, Geosystems</em> <strong>22</strong> <span><strong>(8)</strong>: </span> <span> [<a href="http://dx.doi.org/10.1029/2021gc009983">10.1029/2021gc009983</a>]</span></p> <p> </p> <p> </p>
Orbits of Milky Way satellites in an ensemble of Galactic potentials including the LMC
<p>This archive contains the samples from the MCMC analysis of Milky Way potential,<br> including the dynamical perturbation from the LMC, and corresponding orbits<br> of other Galactic satellites in each choice of the MW+LMC potential.<br> <br> There are 1000 samples of the MW+LMC potential parameters from the chain,<br> and for each of them, one sample from the posterior distribution of present-day<br> position/velocity for each satellite (i.e., sampled from its measurement<br> uncertainties and weighted by the probability of finding this phase-space point<br> in the DF corresponding to the given potential in the chain).<br> The archive contains pre-computed trajectories for 63 objects,<br> stored as a 4d numpy array orbits.npy with shape<br> (63 objects, 1000 samples, 151 timesteps, 6 phase-space coordinates).<br> The timesteps are equally spaced between -3 Gyr and now (also stored in<br> orbit_times.npy).<br> Object names are listed in names.npy; LMC comes 0th.<br> The potential parameters for each of these 1000 samples are stored in<br> potential_params.npy - each row has 6 parameters, 5 for the MW halo<br> and the last one is the LMC mass.<br> The script integrate_orbits.py contains a routine for constructing<br> the MW potential with the given parameters (taken from the chain),<br> computing the past trajectories of MW+LMC and constructing the time-dependent<br> potential of both galaxies, which can then be used to integrate orbits of<br> test particles, such as other satellites. Doing this for all 1000 samples<br> and 62 objects would take some time, that's why they are provided in already<br> pre-computed form.<br> </p>
The Complicated Case of δ Scuti Pulsations and Rotation in KIC 6951642; a long-orbit Single-lined Spectroscopic Binary Star
<p>Abstract: More than four years of HERMES observations have confirmed KIC 6951642 is a very long orbit (≈1770 d) single-lined spectroscopic binary (F0-type) with a fast-rotating companion (vsin i = 123±3 Km/s). The Fourier spectrum of its four-year photometric observations includes plenty of significant frequencies (594) in low- and high-frequency regions. The high-frequency modes appear with various time-delay patterns. We detected several rotationally split 𝛿 Scuti pulsations centered at 13.96 per day (and average frequency spacing of Δ𝑓= 0.723±0.006 per day) for KIC 6951642. The detailed study of all significant low frequencies, extended from 0.72 to 3.60 per day, revealed that the two most dominant frequencies (with the same amplitude and larger than of p-modes) are a combina3on the lowest-frequency modes (𝑓<sub>3</sub> = 𝑓< 0.17 per day), i.e. 𝑓<sub>orhrm</sub> + 𝑚𝑓<sub>orhrm </sub>(𝑚 = 12,14). We suggest the lowest-frequency modes are very large harmonics (orders of 10) of orbital frequency (≈0.0006 per day). We verified the other most dominant low-frequencies as harmonics of rotation frequency 0.721 per day and its combinations. Finally, we reject the probability of hybrid pulsations in the fast-rotating companion of KIC 6951642. We introduce it as a 𝛿 Scuti pulsator with a candidate rotation frequency of 0.721 per day.</p>
Dataset for "Band structures and Z2 invariant of 2D transition metal dichalcogenides from fully relativistic Dirac--Kohn--Sham theory using Gaussian-type orbitals"
<p>Two-dimensional (2D) materials exhibit a wide range of remarkable phenomena, many of which owe their existence to the relativistic spin--orbit coupling (SOC). To understand and predict properties of materials containing heavy elements, such as the transition metal dichalcogenides (TMDs), full account of relativistic effects is mandatory in first-principles calculations. We present an all-electron method based on the four-component Dirac Hamiltonian and Gaussian-type orbitals (GTOs) that overcomes complications associated with linear dependencies and ill-conditioned matrices arising when diffuse functions are included in the basis. Until now, there has been no systematic study of the convergence of GTO basis sets for periodic solids neither at the nonrelativistic nor the relativistic level. Here, we provide such a study of relativistic band structures of the 2D TMDs in the hexagonal (2H), tetragonal (1T), and distorted tetragonal (1T') structural phases while focusing on SOC-driven properties (the Rashba splitting and the $\mathbb{Z}_2$ topological invariant). We demonstrate that our approach is valid even if large basis sets with multiple basis functions corresponding to each valence atomic orbital (denoted triple- and quadruple-$\zeta$) are used in the relativistic regime. The method does not require the use of pseudopotentials and provides access to all electronic states within the same framework, paving the way for direct studies of material properties that depend heavily on the electron density near atomic nuclei where relativistic effects and SOC are strongest, such as the parameters of the spin Hamiltonian.</p>
DGFI-TUM DSO1 orbits of altimetry satellites TOPEX/Poseidon, Jason-1, Jason-2 and Jason-3 derived from SLR data in the SLRF2014 reference frame
<p>The data set provides DSO1 orbits of altimetry satellites TOPEX/Poseidon (27 September 1992 to 9 October 2005), Jason-1 (13 January 2002 to 30 June 2013), Jason-2 (20 July 2008 to 2 October 2019) and Jason-3 (17 February 2016 to 24 October 2021) computed at the Deutsches Geodätisches Forschungsinstitut of the Technical University of Munich (DGFI-TUM). The orbits are derived using the DGFI-TUM Orbit and Geodetic parameter estimation Software (DOGS). The orbits were computed from SLR data in the SLRF2014 (an extended version of ITRF2014) reference frame using common for all satellites, most precise models and standards available and described in the following paper that serves as a citation of these orbits:</p> <p>Sergei Rudenko, Denise Dettmering, Julian Zeitlhöfler, Riva Alkahal, Dhruv Upadhyay and Mathis Bloßfeld (2023) Radial orbit errors of contemporary altimetry satellite orbits. Surveys in Geophysics, https://doi.org/10.1007/s10712-022-09758-5.</p> <p>For each satellite, a tar file is given comprising compressed files. File names are given as satgpswd.sp3.gz, where “sat” is the abbreviation of the satellite name (JA1, JA2, JA3, TPX), “gpsw” is the 4-digit GPS week, and “d” indicates the day of the GPS week containing the first time instant of the file (0 = Sunday, 6 = Saturday). The orbit files are available in the Extended Standard Product 3 Orbit Format, Version c (SP3-c).</p> <p>The orbits were derived within the project “Mitigation of the current errors in precise orbit determination of altimetry satellites (MEPODAS)” funded by Deutsche Forschungsgemeinschaft (DFG).</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.