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4,634 results for “orbit”
Using neural networks to model Main Belt Asteroid albedos as a function of their proper orbital elements
<p>This repository contains a copy of the following repository https://github.com/r-zachary-murray/Asteroid-Albedos. It contains weights for an ensemble of neural nets trained on the Asteroid Family Portal proper elements and NEOWISE albedos. These weights can be used to predict albedos of asteroids based of their proper elements. Example.ipynb contains an ipython notebook that shows how these predictions can be made.</p>
CESM1.2 simulation data for "CO2 and orbitally driven oxygen isotope variability in the Early Eocene"
<p>CESM1.2 simulation data for the Early Eocene. These are atmosphere and land climatology files for simulations at both 3x and 6x pre-industrial CO2 levels, as well as 4 separate orbits. The climatology was averaged over the last 100 years of each simulation.</p>
Instances of Orbit Slot Allocation Problems modeled as Directed Path Allocation Problems (DPAP)
<p><strong>Contents</strong></p> <p>This repository contains instances of Orbit Slot Allocation Problems modeled as Directed Path Allocation Problems (DPAP), defined in [<a href="roussel2023">1</a>]. These instances represent orbit slot allocation problems encoded as V-DPAP (Vertex-Constrained Directed Path Allocation Problem) or R-DPAP (Resource-Constrained Directed Path Allocation Problem).</p> <p>Each instance is provided as set of files, following the provided schema:</p> <ul> <li>One <code>instance_<i>_Graph_Request_<u>_<r>.dot</code> file per request, representing a graph, using the <a href="https://graphviz.org/doc/info/lang.html">dot language</a>, where <code><i></code> is the instance number, <code><u></code> is the id of the user emitting the request, and <code><r></code> is the unique id of the request/graph. Each such file lists a set of vertices and and set of weighted edges (using the <code>label</code> property of the dot language to set the weights). In the current set of instances, there are 8 requests per instance (2 requests per user, with 4 users).</li> <li>One <code>instance_<i>.inc</code> file, listing the incompabilities between vertices, with one set of incompatible vertices per row.</li> </ul> <p>Files are contained in subdirectories following the <code><n>_<m>_<mode>_<model></code> pattern, where <code><n></code> is the number of satellites per orbit plane (2, 4, 8, 16), <code><m></code> is the number of requests per user (2 only in this dataset), <code><mode></code> satisfaction mode of the request (<code>full</code> or <code>partial</code>), and <code><model></code> is the type of problem model used to encode the orbit slot allocation problems (<code>vdpap</code> or <code>rdpap</code>).</p> <p>We redirect to the referenced paper for more details on the DPAP, V-DPAP and R-DPAP models.</p> <p><strong>Acknowledgements</strong></p> <p>This work has been performed with the support of the French government in the context of the "Programme d'Invertissements d'Avenir", namely by the BPI PSPC LiChIE project (Lion Chaine Image Elargie), coordinated by Airbus Defence and Space.</p> <p><strong>References</strong></p> <p>[1] S. Roussel, G. Picard, C. Pralet and S. Maqrot. Conflicting Bundle Allocation with Preferences in Weighted Directed Acyclic Graphs: Application to Orbit Slot Allocation Problems, in MDPI <em>Systems</em>, Special Issue on Frontiers in Practical Applications of Agents, Multi-Agent Systems and Simulating Complex Systems, 2023.</p>
Data for: Higher water loss on Earth-like exoplanets in eccentric orbits
<p>The climate of a terrestrial exoplanet is controlled by the type of host star, the orbital configuration and the characteristics of the atmosphere and the surface. Many rocky exoplanets have higher eccentricities than those in the Solar System, and about 18% of planets with masses < 10 M⊕ have 𝑒 > 0.1. Underexplored are the implications of such high eccentricities on the atmosphere, climate, and potential habitability on such planets. We use WACCM6, a state-of-the-art fully-coupled Earth-system model, to simulate the climates of two Earth-like planets; one in a circular orbit (𝑒 = 0), and one in an eccentric orbit (𝑒 = 0.4). We quantify the effects of eccentricity on the atmospheric water abundance and loss given the importance of liquid water for habitability. The asymmetric temperature response in the eccentric orbit results in a water vapour mixing ratio in the stratosphere (> 20 ppmv) that is approximately five times greater than that for circular orbit (∼ 4 ppmv). This leads to a ∼ 3 time increase in the atmospheric hydrogen loss rate and a corresponding ∼ 3 times decrease in the ocean loss timescale. Thus, highly-eccentric Earth-like exoplanets can still retain their oceans over the lifetime of the system. Using the Planetary Spectrum Generator, we simulate the idealised transmission spectra for both cases. We find that the water absorption features are stronger at all wavelengths for the 𝑒 = 0.4 spectrum than for the circular case. Hence, highly-eccentric Earth-like exoplanets may be prime targets for future transmission spectroscopy observations to confirm, or otherwise, the presence of atmospheric water vapour.</p>
Planetesimal Accretion at Short Orbital Periods
<p>Formation models in which terrestrial bodies grow via the pairwise accretion of planetesimals have been reasonably successful at reproducing the general properties of the solar system, including small body populations. However, planetesimal accretion has not yet been fully explored in the context of the wide variety of recently discovered extrasolar planetary systems, particularly those that host short-period terrestrial planets. In this work, we use direct N-body simulations to explore and understand the growth of planetary embryos from planetesimals in disks extending down to ~1 day orbital periods. We show that planetesimal accretion becomes nearly 100 percent efficient at short orbital periods, leading to embryo masses that are much larger than the classical isolation mass. For rocky bodies, the physical size of the object begins to occupy a significant fraction of its Hill sphere towards the inner edge of the disk. In this regime, most close encounters result in collisions, rather than scattering, and the system does not develop a bimodal population of dynamically hot planetesimals and dynamically cold oligarchs, like is seen in previous studies. The highly efficient accretion seen at short orbital periods implies that systems of tightly-packed inner planets should be almost completely devoid of any residual small bodies. We demonstrate the robustness of our results to assumptions about the initial disk model, and also investigate the effects that our simplified collision model has on the emergence of this non-oligarchic growth mode in a planet forming disk.</p>
Data for AJ paper: Mass ratio of single-line spectroscopic binaries with visual orbits using Bayesian inference and suitable priors
<p>Data and plots for paper "Mass ratio of single-line spectroscopic binaries with visual orbits using Bayesian inference and suitable priors" accepted for publication in The Astronomical Journal.</p>
Imaging orbital ferromagnetism in a moire Chern insulator
Open the record for dataset details and reuse information.
Data for: Higher water loss on Earth-like exoplanets in eccentric orbits
Open the record for dataset details and reuse information.
Microlensing events indicate that super-Earth exoplanets are common in Jupiter-like orbits
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Mars Reconnaissance Orbiter (MRO) Mars Color Imager (MARCI) north seasonal cap original movies Mars years 28 to 35
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Orbital Stability of Circumstellar Planets in Binary Systems
<p>Tar archives of simulations for circumstellar planets orbiting a range of host binary stars, where the archives are delineated by the mutual inclination in the filename. Each file in the archive has the assumed mass ratio, mu, and binary eccentricity, e_bin, in the file name as a tuple (mu,e_bin). Tools in python to manipulate and plot the data are provided through a GitHub repository, https://github.com/saturnaxis/ThreeBody_Stability. Inside each file contains a comma delimited text file, where the columns are the initial semimajor axis ratio, the initial phase of the planet, the maximum planetary eccentricity attained over the simulation time, the minimum planetary eccentricity attained over the simulation time, and the collision/escape time. Collisions are defined as collisions with either star, where the escape is when the radial distance of the planet exceeds 200 AU.</p>
Open data of Control of damping in perpendicularly magnetized thin films using spin-orbit torques
<p>Open access data set for manuscript "Control of damping in perpendicularly magnetized thin films using spin-orbit torques" published in Physical Review B, <strong>101</strong>, 224401 (2020)</p>
Nanomechanical topological insulators with an auxiliary orbital degree of freedom - source data
<p>This data set contains the source data and the matlab scripts applied to obtain the results published in "Nanomechanical topological insulators with an auxiliary orbital degree of freedom". For details of the experimental procedure please refer to the main text of the article, as well as the supplementary information. </p>
Data for the article "Quantitative comparison of spin and orbital Hall and Rashba-Edelstein effects in heavy-metal/3d-metal bilayers"
<p>Data for the article "Quantitative comparison of spin and orbital Hall and Rashba-Edelstein effects in heavy-metal/3d-metal bilayers" (<a href="https://arxiv.org/abs/2004.11942">[2004.11942] Quantitative comparison of spin and orbital Hall and Rashba-Edelstein effects in heavy-metal/3d-metal bilayers (arxiv.org)</a>)</p>
Orbiter Space Shuttle OV-103 Discovery
*Many thanks to the support generously provided by Meredith Siegfried Madden and Dr. Peter Madden. Without you this wouldn't be possible.* Smithsonian source data can be found [here](https://ids.si.edu/ids/media_view?id=3d_package:d8c636ce-4ebc-11ea-b77f-2e728ce88125) This media file is in the public domain (free of copyright restrictions). You can copy, modify, and distribute this work without contacting the Smithsonian. For more information and to review the 3D disclaimer, visit the Smithsonian's [Terms of Use](https://www.si.edu/Termsofuse) page. Orbiter, Space Shuttle, OV-103, Discovery Manufacturer: Rockwell International Corporation Materials: Airframe: aluminum alloys, titanium, Surface: silica tiles, reinforced carbon carbon RCC nose cap and wing leading edges, Interior: many materials (aluminum, fabric, beta cloth, velcro, etc.) Dimensions: Overall: 24.314m x 17.768m x 38.03m, 73176.5kg (78 ft. x 57 ft. x 122 ft., 161325lb.) EDAN-URL: edanmdm:nasm_A20120325000 Source: Objaverse 1.0 / Sketchfab
Xiomi Mi Drone 4k Orbit Flight
Xiomi Mi Drone 4k Orbit Flight https://www.youtube.com/watch?v=AIcesFLxIv0 Source: Objaverse 1.0 / Sketchfab
SARWIND LG-Mod (v4.01) output data with reference to the Sentinel-1A (2014/12/07, Camargue), EW, GRD, MR, VV-polarized, descending orbit, SNAP pre-processed data (+ the additional SKYRON reference wind)
<p>A zipped folder containing SARWIND LG-Mod (v4.01) output data obtained by processing the Sentinel-1A (2014/12/07, Camargue), EW, GRD, MR, VV-polarized, descending orbit, SNAP pre-processed data (+ the additional SKYRON reference wind).</p> <p>Pre-processed data derived from the Sentinel-1 SAR image have been obtained by using the Sentinel Application Platform (SNAP), ver. 3.0.3, distributed by the European Space Agency (ESA). The reference wind components have been provided by the Numerical Weather Model (NWM) SKYRON.</p> <p>These Earth Observation (EO) data have been used as inputs to the SARWIND LGMod algorithm, ver. 4.01, developed by Rana Fabio Michele (2014-2016) for the sea surface wind field retrieval.</p> <p>The available Sentinel-1, Extra Wide Swath Mode, Ground Range, Multi-look, Detected, Medium Resolution, Vertical polarisation on transmit, Vertical polarisation on receive, Descending orbit, C-band SAR image, has been acquired on the 7th Dec 2014, 05:51:54.</p>
Sentinel-1A (2014/12/07, Camargue), EW, GRD, MR, VV-polarized, descending orbit, SNAP pre-processed data (+ additional SKYRON reference wind) for SARWIND LG-Mod (v4.01)
<p>A zipped folder containing pre-processed data from a Sentinel-1 SAR image by using the Sentinel Application Platform (SNAP), ver. 3.0.3, distributed by the European Space Agency (ESA). The reference wind components provided by the Numerical Weather Model (NWM) SKYRON is also added in the folder.</p> <p>These Earth Observation (EO) data can be used as inputs to the SARWIND LGMod algorithm, ver. 4.01, developed by Rana Fabio Michele (2014-2016), with the aim at retrieving the sea surface wind field by exploiting the single co-polarized Sentinel-1 image available.</p> <p>In particular, the latter is the Sentinel-1, Extra Wide Swath Mode, Ground Range, Multi-look, Detected, Medium Resolution, Vertical polarisation on transmit, Vertical polarisation on receive, Descending orbit, C-band SAR image, acquired on the 7th Dec 2014, 05:51:54</p>
Sentinel-1A (2014/12/31, Camargue), EW, GRD, MR, VV-polarized, descending orbit, SNAP pre-processed data (+ additional SKYRON reference wind) for SARWIND LG-Mod (v4.01)
<p>A zipped folder containing pre-processed data from a Sentinel-1 SAR image by using the Sentinel Application Platform (SNAP), ver. 3.0.3, distributed by the European Space Agency (ESA). The reference wind components provided by the Numerical Weather Model (NWM) SKYRON is also added in the folder.</p> <p>These Earth Observation (EO) data can be used as inputs to the SARWIND LGMod algorithm, ver. 4.01, developed by Rana Fabio Michele (2014-2016), with the aim at retrieving the sea surface wind field by exploiting the single co-polarized Sentinel-1 image available.</p> <p>In particular, the latter is the Sentinel-1, Extra Wide Swath Mode, Ground Range, Multi-look, Detected, Medium Resolution, Vertical polarisation on transmit, Vertical polarisation on receive, Descending orbit, C-band SAR image, acquired on the 31st Dec 2014, 05:51:53.</p>
SARWIND LG-Mod (v4.01) output data with reference to the Sentinel-1A (2014/12/31, Camargue), EW, GRD, MR, VV-polarized, descending orbit, SNAP pre-processed data (+ the additional SKYRON reference wind)
<p>A zipped folder containing SARWIND LG-Mod (v4.01) output data obtained by processing the Sentinel-1A (2014/12/31, Camargue), EW, GRD, MR, VV-polarized, descending orbit, SNAP pre-processed data (+ the additional SKYRON reference wind).</p> <p>Pre-processed data derived from the Sentinel-1 SAR image have been obtained by using the Sentinel Application Platform (SNAP), ver. 3.0.3, distributed by the European Space Agency (ESA). The reference wind components have been provided by the Numerical Weather Model (NWM) SKYRON.</p> <p>These Earth Observation (EO) data have been used as inputs to the SARWIND LGMod algorithm, ver. 4.01, developed by Rana Fabio Michele (2014-2016) for the sea surface wind field retrieval.</p> <p>The available Sentinel-1, Extra Wide Swath Mode, Ground Range, Multi-look, Detected, Medium Resolution, Vertical polarisation on transmit, Vertical polarisation on receive, Descending orbit, C-band SAR image, has been acquired on the 31st Dec 2014, 05:51:53.</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.