Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
13
datasets available to search
ShareScore release 0.9.0
Dataset results
13 results for “Gravitational field”
Gravitational waves from a cosmological vacuum phase transition - scalar field value
<p>Movie based on Figure 2 of the paper <a href="https://doi.org/10.1103/PhysRevD.97.123513">Gravitational waves from vacuum first-order phase transitions: from the envelope to the lattice</a> [<a href="https://arxiv.org/abs/1802.05712">arXiv:1802.05712</a>]. This movie originally appeared as Supplemental Material associated with the paper.</p> <p><em>Caption based on original figure caption</em>: Slices through a simultaneous nucleation simulation with parameters <span class="math-tex">\(R_\mathrm{c} M = 7.15\)</span>, <span class="math-tex">\(N_\mathrm{b} = 64\)</span> and <span class="math-tex">\(R_* M = 56.32\)</span> showing the expansion, collision, and oscillatory phase of the scalar field. The scalar field value is shown in blue, and the gravitational wave energy density is shown in red. Note that the range of the colourbar for the gravitational wave energy density changes with time. During the oscillatory phase the gravitational wave energy density becomes very uniform and the “hotspots” are deviations on the sub percent level.</p> <p>The movie is also available on Vimeo, <a href="https://vimeo.com/255031420">here</a>.</p>
Reproduction package for "Searching for low radio-frequency gravitational wave counterparts in wide-field LOFAR data"
<p>This is a basic reproduction package for the paper "Searching for low radio-frequency gravitational wave counterparts in wide-field LOFAR data" by Gourdji et al. (2021) published in MNRAS. It describes the software and settings used to obtain the final data products of the analysis. It also includes a Jupyter notebook and required data to reproduce the tables and figures of this paper.</p>
Spherical harmonic models of the gravitational field and shape of (101955) Bennu
<p>Provided are (i) three types of spherical harmonic models of the gravitational field of Bennu, (ii) reference gravitational data and (iii) a spherical harmonic model of Bennu's shape. The gravitational field models and the reference data were obtained by gravity forward modelling using a degree-15 spherical harmonic expansion of Bennu's shape and a constant mass density.</p> <p>The datasets have been published in Bucha, B., Sanso, F., 2021. <em>Gravitational field modelling near irregularly shaped bodies using spherical harmonics: a case study for the asteroid (101955) Bennu</em>. Journal of Geodesy, 95, 56, <a href="https://link.springer.com/article/10.1007/s00190-021-01493-w">https://link.springer.com/article/10.1007/s00190-021-01493-w</a></p>
Spherical harmonic models of the gravitational field implied by the Moon's topographic masses
<p>Provided are 12 spherical harmonic models of the gravitational field implied by the Moon's topographic masses. The models mitigate the divergence effect of spherical harmonics on the Moon's topography when compared with spectral gravity forward modelling methods. The topographic masses are expanded up to degrees 90, 180, 360 and 720, and the maximum degree of the gravitational models varies from 360 up to 2160. All models are available in the <a href="http://icgem.gfz-potsdam.de/ICGEM-Format-2011.pdf">gfc</a> format as defined by <a href="http://icgem.gfz-potsdam.de">ICGEM</a>. One of the models, <em>STU_Moon_topography_to720_gravity_to2160</em>, can also be accessed from <a href="http://icgem.gfz-potsdam.de/tom_celestial">ICGEM</a>, where it can be find under a shortened name <em>STU_MoonTopo720</em>.</p> <p>The models rely on the Runge-Krarup theorem and enable generally a more accurate evaluation of the gravitational field in the proximity to the lunar topography as compared to the models from spectral gravity forward modelling. This is because the latter ones may suffer from the divergence effect when evaluating the spherical harmonic series on or below the limit sphere encompassing all the gravitating masses (that is, also on the topography).</p> <p>The datasets have been published in Bucha, B., Hirt, C., Kuhn, M., 2019. <em>Divergence-free spherical harmonic gravity field modelling based on the Runge—Krarup theorem: a case study for the Moon</em>. Journal of Geodesy 93, 489-513, <a href="https://doi.org/10.1007/s00190-018-1177-4">https://doi.org/10.1007/s00190-018-1177-4</a></p>
Reproduction package for the paper "Prospects of Gravitational Wave Follow-up Through a Wide-field Ultra-violet Satellite: a Dorado Case Study"
<p>This is a basic reproduction package for the paper "Prospects of Gravitational Wave Follow-up Through a Wide-field Ultra-violet Satellite: a Dorado Case Study" by [Dorsman et al. (2022)](https://doi.org/10.48550/arXiv.2206.09696). This package provides (1) data and software to reproduce the results from the Bayesian inference, (2) the pre-computed results from the Bayesian inference for the purpose of reproducing the plots, and (3) the plots.</p>
Two data sets of gravitational field degree-2 order-1 Stokes coefficient
<p>The SLR Stokes coefficient data are provided by the Space Research Institute (IWF) of the Austrian Academy of Sciences based on SLR observations coordinated by ILRS. The GRACE satellite data are from the Center for Space Research RL06 solutions. All ocean tides, Earth tides and polar tides have been removed.</p>
Translated spherical harmonic gravitational field models for Phobos and 433 Eros
<p>The dataset contains the spherical harmonic gravitational field models for the Martian moon Phobos and the asteroid 433 Eros, which are translated from the original models derived in the respective coordinate systems.</p> <p>The gravity model files contain the normalized spherical harmonic coefficients in the standard format in the folder "gravity". The files named with the prefix "sphcfs\_" are for: 1. base models tied to the respective shape models of Phobos and Eros; 2. four translated models for the northern and southern halves of Phobos and Eros. The models are derived via boundary-value problems. The translated models are each accompanied by an analytically transformed model for comparison. The corresponding data files are identified with the prefix "tsphcfs\_".</p> <p>The triangulated shape model for Phobos interpolated using the spherical harmonic series by Willner et al. (2014), Planetary and Space Science, vol. 102, pp. 51-59, DOI:10.1016/j.pss.2013.12.006 is given in the ".obj" format. The shape model for Eros by Thomas et al. (2002), Icarus, vol. 155, pp. 18-37, DOI:10.1006/icar.2001.6755 used in the study belongs to the ``NEAR Collected Shape and Gravity Models'' (NEAR-A-5-COLLECTED-MODELS-V1.0) at https://sbn.psi.edu/pds/resource/nearbrowse.html (retrieved in Mar. 2024), and is not included. The dissected shape models are provided for both objects, which are used for model evaluation over the northern and southern halves of the bodies.</p> <p>The parameters of the Brillouin spheres are provided in the folder "sphere".</p> <p>The numerical results in the folder "result" are modeled gravitational potentials alongside the true values around and on the surface of the bodies. The results for the ellipsoidal harmonic models are provided for comparison.</p>
GOCE-only spherical harmonic models of the Earth's gravitational field
<p>Provided are the global GOCE-only spherical harmonic models of the Earth's gravitational field developed by <a href="http://doi.org/10.1007/s10712-015-9344-0">Bucha et al. (2015)</a>.</p> <ul> <li>The key data is the kinematic orbit of the GOCE satellite spanning the period from 01 November 2009 to 11 January 2010 (the R1 period).</li> <li>The <a href="http://doi.org/10.1016/j.asr.2013.11.031">acceleration approach</a> was used to invert the kinematic orbit into the gravity field models.</li> <li>The models were derived by spherical radial basis functions (Shannon SRBF) and subsequently they were transformed into spherical harmonics. The transformation is exact without any approximations.</li> <li>The problematic near-zonal coefficients (polar gap) are stabilized by prior information from our own low-degree GOCE-only models, so that the final models are still GOCE-only.</li> <li>The models are estimated up to relatively high harmonic degrees (75, 100, 130) to mitigate the aliasing, but it is not recommended to use them beyond degree, say, 70 due to the adverse signal-to-noise ratio.</li> <li>The models are provided in the <a href="http://icgem.gfz-potsdam.de/ICGEM-Format-2011.pdf">gfc</a> format as defined by <a href="http://icgem.gfz-potsdam.de">ICGEM</a>.</li> </ul> <p>The models have been published in Bucha, B., Bezdek, A., Sebera, J., Janak, J., 2015. <em>Global and regional gravity field determination from GOCE kinematic orbit by means of spherical radial basis functions</em>. Surveys in Geophysics 36, 773-801, <a href="http://doi.org/10.1007/s10712-015-9344-0">http://doi.org/10.1007/s10712-015-9344-0</a></p>
Clustering dark energy imprints on cosmological observables of the gravitational field
<p>This file contains all the necessary data, codes, and notebooks to reproduce the results of the paper titled "Clustering dark energy imprints on cosmological observables of the gravitational field" (<a href="https://arxiv.org/abs/2007.04968">https://arxiv.org/abs/2007.04968</a>).</p> <p><br> This paper has also been published in MNRAS which can be accessed at this link: <a href="https://doi.org/10.1093/mnras/staa3589">https://doi.org/10.1093/mnras/staa3589</a>.</p> <p>Directories</p> <ul> <li><strong>codes</strong>: This directory includes the codes to generate and post-process the simulation data.</li> <li><strong>data</strong>: This directory contains the data generated as part of the project.</li> <li><strong>jupyter_notebooks</strong>: This directory includes Jupyter notebooks to reproduce the figures presented in the paper.</li> <li><strong>supplementary_materials</strong>: This directory contains the supplementary materials associated with the project.</li> </ul> <p>How to Use</p> <ol> <li>Download the files to your local machine.</li> <li>Navigate to the directory where the files are saved.</li> <li>Install the necessary packages</li> <li>Navigate to the "<strong>jupyter_notebooks</strong>" directory and open the Jupyter notebooks in your preferred environment.</li> <li>Run the cells in the notebooks to reproduce the figures.</li> <li>Navigate to the "<strong>codes</strong>" directory and use the appropriate code to generate and post-process the simulation data.</li> <li>Navigate to the "<strong>data</strong>" directory to access the simulation data.</li> </ol> <p><br> If you have any feedback or request feel free to email farbod.hassani@gmail.com</p>
Datasets for "Gravitational wave signal from primordial magnetic fields in the Pulsar Timing Array frequency band'
<p>The tar archive run_directories.zip contains the run directories for each run in Table 1 and the figures of the paper "Gravitational wave signal from primordial magnetic fields in the Pulsar Timing Array frequency band", by A. Roper Pol, C. Caprini, A. Neronov, D. Semikoz. The run directories, the plots, and the code to generate the plots can be found in https://github.com/AlbertoRoper/GW_turbulence.</p>
An environment with strong gravitational and magnetic field alterations synergizes to promote variations in Arabidopsis thaliana callus global transcriptional state
Using diamagnetic levitation we have exposed A. thaliana in vitro callus cultures to five environments with different levels of effective gravity (from levitation i.e. simulated mg* to 2g*) and magnetic fields (10.1 to 16.5 Tesla) and we have compared the results with those of similar experiments done in a Random Position Machine (simulated micro g) and a Large Diameter Centrifuge (2g) free of high magnetic fields. Microarray analysis indicates that there are changes in overall gene expression of the cultured cells exposed to these unusual environments but also that gravitational and magnetic field produce synergic variations in the steady state of the transcriptional profile of A. thaliana. Significant changes in the expression of structural abiotic stress and secondary metabolism genes were observed into the magnet field. These results confirm that the strong magnetic field both at micro g* or 2g* has a significant effect on the expression of these genes but subtle gravitational effects are still observable. These subtle responses to microgravity environments are opposite to the ones observed in a hypergravity one. seven-condition experiment MM2D Arabidopsis culture callus control vs. Treatment (altered gravity simulation GBF). Three GBF were used (LDC (2g) + control RPM (mg) + control and Magnet (mg* 0.1g* 1g* 1.9g* 2g*) + control). Biological replicates: 3 replicates in all conditions and controls except 1.9g* (2 replicates)
An environment with strong gravitational and magnetic field alterations synergizes to promote variations in Arabidopsis thaliana callus global transcriptional state
GEO Series GSE29787. Arabidopsis thaliana. 20 samples. Type: Expression profiling by array.
An environment with strong gravitational and magnetic field alterations synergizes to promote variations in Arabidopsis thaliana callus global transcriptional state
Using diamagnetic levitation we have exposed A. thaliana in vitro callus cultures to five environments with different levels of effective gravity (from levitation i.e. simulated mg* to 2g*) and magnetic fields (10.1 to 16.5 Tesla) and we have compared the results with those of similar experiments done in a Random Position Machine (simulated micro g) and a Large Diameter Centrifuge (2g) free of high magnetic fields. Microarray analysis indicates that there are changes in overall gene expression of the cultured cells exposed to these unusual environments but also that gravitational and magnetic field produce synergic variations in the steady state of the transcriptional profile of A. thaliana. Significant changes in the expression of structural abiotic stress and secondary metabolism genes were observed into the magnet field. These results confirm that the strong magnetic field both at micro g* or 2g* has a significant effect on the expression of these genes but subtle gravitational effects are still observable. These subtle responses to microgravity environments are opposite to the ones observed in a hypergravity one. seven-condition experiment MM2D Arabidopsis culture callus control vs. Treatment (altered gravity simulation GBF). Three GBF were used (LDC (2g) + control RPM (mg) + control and Magnet (mg* 0.1g* 1g* 1.9g* 2g*) + control). Biological replicates: 3 replicates in all conditions and controls except 1.9g* (2 replicates)
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.