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.
57
datasets available to search
ShareScore release 0.9.0
Dataset results
57 results for “spherical harmonics”
Spherical harmonic models of the gravity field of Titan
<p>This archive contains previously published models of the gravitational field of Saturn's moon Titan.</p> <ul> <li>Durante2019.sh</li> </ul> <p>All models make use of unnormalized spherical harmonic functions that exclude the Condon-Shortley phase factor of (-1)^m.</p>
Spherical harmonic models of the gravity field of Enceladus
<p>This archive contains previously published models of the gravitational field of Saturn's moon Enceladus.</p> <ul> <li>Iess2014.sh (SOL1)</li> <li>Park2024.sh (Case 2)</li> </ul> <p>All models make use of unnormalized spherical harmonic functions that exclude the Condon-Shortley phase factor of (-1)^m.</p>
Spherical harmonic models of the shape of (433) Eros
<p>This archive contains two spherical harmonic models of the shape of asteroid 433 Eros. One model is based on laser altimetry from the instrument NLR and the other is based on a stereo photoclinometry shape.</p> <p>The data used to generate the model based on laser altimetery were taken from the file <code>nlr125ar.img</code> on <a href="https://sbnarchive.psi.edu/pds3/near/NEAR_A_NLR_6_EROS_MAPS_MODELS_V1_0/data/img/">NASA's PDS website</a>. This image file was first converted to netcdf format using the <a href="https://www.generic-mapping-tools.org/">generic-mapping-tools</a> function <code>xyz2grd</code>, and the resulting pixel registed map was then converted to a gridline registration using the function <code>grdsample</code>. Following this, the resulting netcdf file was read into the <a href="https://shtools.github.io/SHTOOLS/index.html">pyshtools</a> software and expanded into spherical harmonics using the function <code>SHCoeffs.expand()</code>. The spherical harmonic functions were chosen to be "4pi" normalized and to exclude the Condon-Shortley phase factor of (-1)<sup>m</sup>. The units of the coefficients are meters.</p> <p>The data used to generate the model based on the stereo photoclinometric shape model were taken from the file <code>quad512q.tab</code> on <a href="https://sbnarchive.psi.edu/pds4/non_mission/gaskell.ast-eros.shape-model_V1_1/data/quad/">NASA's PDS website</a>. The vertices from the ICQ shape model with Q=512 were first converted from Cartesian to spherical coordinates, from which a regular gridline registered netcdf file was created using the <a href="https://www.generic-mapping-tools.org/">generic-mapping-tools</a> function <code>surface</code> with a tension of 0.6 and with a grid spacing of 0.17578125 degrees. This file was then read into the <a href="https://shtools.github.io/SHTOOLS/index.html">pyshtools</a> software and expanded into spherical harmonics in the same manner as the NLA based model.</p> <p>The two files in this archive are</p> <ul> <li>Eros_NLR_shape_719.bshc.gz</li> <li>Eros_SPC_shape_511.bshc.gz</li> </ul> <p>The numbers 719 and 511 in the filename refer to the maximum spherical harmonic degree of file, which corresponds to effective spatial resolutions of 8 and ~5.7 pixels per degree, respectively. The files are stored in the binary "bshc" format as described in the pyshtools documentation and are furthermore compressed using gzip.</p>
Spherical harmonic models of the gravity field of Neptune
<p>This archive contains published spherical harmonic models of the gravity field of Neptune. The coefficients are to be used with unnormalized spherical harmonic functions that exclude the Condon-Shortely phase factor of (-1)^m, and the file is formatted in a manner to be read by the <a href="https://shtools.github.io/SHTOOLS/">pyshtools</a> software (using format='shtools'). The header of the file contains the reference radius, GM, GM uncertainty, and maximum degree of the spherical harmonic expansion (all in SI units).</p> <p>* Jacobson2009.sh</p>
Spherical harmonic model of the shape of Mars: MarsTopo719
<p><strong><em>THIS MODEL IS SUPERSEDED BY </em><a href="../records/10794059"><em>Spherical harmonic models of the shape of Mars</em></a></strong></p> <p> </p> <p><strong>MarsTopo719.shape</strong> is a spherical harmonic model of the shape of the planet Mars. This model makes use of 4-pi normalized spherical harmonic functions that exclude the Condon-Shortley phase factor of (-1)<sup>m</sup>. The description of how this spherical harmonic model was constructed can be found in Wieczorek (2015). <strong>MarsTopo719.shape</strong> is a truncated version of <strong>MarsTopo2600.shape</strong>.</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>
Spherical harmonic models of planetary topography
<p>This archive contains spherical-harmonic shape models of the Moon, Venus, and Mars that were presented in <em>Wieczorek </em>(2015).</p> <p>The individual files can be downloaded separately here:</p> <ul> <li><a href="https://zenodo.org/record/3870922">MarsTopo2600.shape.gz</a></li> <li><a href="https://zenodo.org/record/3870924">MoonTopo2600p.shape.gz</a></li> <li><a href="https://zenodo.org/record/3870926">VenusTopo719.shape.gz</a></li> </ul>
Spherical Harmonic Coefficients from the SVM by Tsunakawa
<p>Spherical harmonic coefficients from the surface vector mapping (SVM) by Tsunakawa et al. (2015) in JGR-Planet</p>
DDISH-GI: Dynamic Distributed Spherical Harmonics Global Illumination - Supplementary Video
<p>A supplementary video for the upcoming publication "DDISH-GI: Dynamic Distributed Spherical Harmonics Global Illumination". The video includes a comparison to a state-of-the-art method and also to the path traced ground truth. Limitations of the proposed method are also shown.</p>
A Spherical Harmonic model of Earth's lithospheric magnetic field up to degree 1050
<p>This model describes the Earth's vector lithospheric (or crustal ) magnetic field to about 40-km spatial resolution. It is provided in the form of Spherical Harmonic (SH) Gauss coefficients using the norm commonly used in geomagnetism (the Schmidt normalization). The file is in (zipped) ascii with 4 columns: the SH degree, the SH order, the Gnm and the Hnm parameters. The model was obtain after selecting and processing magnetic field measurements from the German CHAMP and ESA Swarm satellites that were merged with worldwide near-surface scalar anomaly data compiled over decades. A description of the scientific procedure and the model assessments are described in a paper under publication at Geophysical Research Letters. Please consider citing the GRL paper: Thébault E., Hulot G., Langlais B., and Vigneron P., A Spherical Harmonic model of Earth’s lithospheric magnetic field up to degree 1050, Geophys. Res. Lett., 2021</p>
Database of Spherical Harmonic Representations of Sound Source Directivities
<p>This is a database of complete spherical harmonic representations of the directivities of sound sources. The data are provided as impulse responses that represent the directivity of the given source in a given discrete direction. The Matlab script <code>compute_spherical_harmonics_model.m</code> demonstrates how a spherical harmonic representation can be computed from the data. We do not provide spherical harmonic coefficients directly because of the multitude of definitions of spherical harmonics and also of the Discrete Fourier transform. We rather ask you to select the combination of definitions you would like to use and compute the spherical harmonic coefficients on demand. You may want to add re-sampling or zero padding and the like to make the data compatible with your intended application.</p> <p>As of now, all spherical harmonic representations are based on previously published data. Please do not forget to site this repository as well as the original repositories when using the data. References to the original sources are provided with each dataset. All data are bandlimited to the spherical harmonic order <code>N</code> that is specified in the corresponding file name. The conversion between raw data and spherical harmonic coefficients is therefore essentially lossless.</p>
Spherical harmonic model of the Moon's magnetic field derived from gridded data in Tsunakawa et al. (2015)
<p><strong>T2015_449</strong> is a 449 degree and order spherical harmonic model of the magnetic potential of the Moon. This model was used in Wieczorek (2018) and is a spherical harmonic expansion of the global magnetic field model of Tsunakawa et al. (2015). The original gridded data are from the file "globalSVM20150511/LunarSVM_000_02_v01.dat" and the spherical harmonic coefficients use the standard Schmidt semi-normalization, excluding the Condon-Shortley phase factor of (-1)<sup>m</sup>. The coefficients are in units of Teslas.</p>
WDMAM 2.0: degree 800 spherical harmonic model of the Earth's lithospheric magnetic field
<p>WDMAM 2.0 is a degree 800 spherical harmonic model of the Earth's lithospheric magnetic field. The reference radius of the model is 6371.2 km, and the file is formatted as rows of</p> <p>degree, order, glm, hlm</p> <p>This model is exactly the same as found on the WDMAM web site (http://www.wdmam.org/model/WDMAM_mod.out.gz) with the exceptions that the file has been reformatted to make it easier to read by computer software, and the final unnecessary column has been removed.</p>
spherical harmonics analysis of the wavefronts of a young supernova remnant
<p>This repository complements the upcoming ApJ paper "From supernova to supernova remnant: comparison of thermonuclear explosion models". The plots represent the surface of the three wavefronts of a young SNR: CD = contact discontinuity (edge of the ejecta), RS = reverse shock, FS = forward shock (outer blast wave). Radial fluctuations from the explosion center are mapped in spherical projection, and expanded in spherical harmonics to obtain the power spectrum = distribution of angular scales. Four supernova models are compared: N100ddt, N5ddt, N100def, N5def. The repository contains 3 folders: </p> <ul> <li><strong>maps_spectra</strong> (64 files, 16 MB) contains all the plots for the 4 models, for 4 fields: CD, FS, RS, FS-RS, as a function of time: as movies from 1 yr to 500 yr, and as snapshots at 3 selected times 1 yr, 100 yr, 500 yr.</li> <li><strong>SH_expansion</strong> (1059 files, 310 MB) contains a pedagogical example of the full expansion in spherical harmonics, for one map: the CD of N100ddt at 1 yr. It includes the basis functions Y𝓁𝓂 up to 𝓁=16 for each 𝓂, the individual components of the expansion up to 𝓁max=383, and the progressively reconstructed signal at each 𝓁.</li> <li><strong>SH_residuals</strong> (192 files, 90 MB) contains all the residuals plots to assess the quality of the reconstruction, for the 4 models, for the 4 fields, as a function of time.</li> </ul>
Audio Examples for "Directional Frequency Filtering of Recordings in Spherical Harmonics Domain for Innovative Noise Reduction Strategies"
<p>This is a collection of audio examples of the processing corresponding to the master thesis "Directional Frequency Filtering of Recordings in Spherical Harmonics Domain for Innovative Noise Reduction Strategies"<br> The examples (ambisonics and binaural) contain recordings of moving sources in an anechoic chamber, which were made within different scenes partly containing noise barriers. Furthermore the simulation of noise barriers was implemented using directional filtering within a plane wave decomposition of the signals in sh domain.</p>
Spherical harmonic models of the magnetic field of Mars from Cain et al. (2003)
<p>This archive contains spherical harmonic coefficients of the two magnetic field models of Mars that were published in Cain et al. (2003): FSU50 and FSU90. The two models here are identical to those found in the supplemental materials of that manuscript, with the exception that they have been reformatted for easy input into the pyshtools software.</p> <p>Cain, J. C., Ferguson, B. B., Mozzoni, D. (2003), An n = 90 internal potential function of the Martian crustal magnetic field, Journal of Geophysical Research: Planets, 108 (E2), doi:10.1029/2000JE001487.</p>
Derivative products: "IBEX Ribbon Separation Using Spherical Harmonic Decomposition of the Globally Distributed Flux" by Swaczyna et al.
<p>Derivative products from: Swaczyna et al. 2022, "IBEX Ribbon Separation Using Spherical Harmonic Decomposition of the Globally Distributed Flux", ApJS, 258:6</p>
Spherical harmonic model of the gravitational potential of Ganymede from Gomez Casajus et al. (2022)
<p>Ganymede2022 is a spherical harmonic model of the gravitational potential of Ganymede that makes use of data from Galileo and the JUNO extended mission. The data in the file Ganymede2022.sh.gz are identical to those in the submission <a href="../record/6949645">6949645</a> (Gomez Casajus et al. 2022) with the exception that they have been reformatted in a way that facilitates their reading by the python package pyshtools, and the GM has been included (personal communication from the original authors).</p>
Derivative products from "Spherical Harmonic Representation of Energetic Neutral Atom Flux Components Observed by IBEX" by Swaczyna, Dayeh, & Zirnstein
<p>This dataset includes derivative data products obtained using the method described in: Swaczyna, Dayeh, & Zirnstein (2023), <em>Spherical Harmonic Representation of Energetic Neutral Atom Flux Components Observed by IBEX</em></p> <p>The products have been derived from IBEX Data Release #16 (https://ibex.princeton.edu/DataRelease16). </p> <ul> <li>hvset_tabular_ram_cg.zip - results for ram-only Compton-Getting and survival probability corrected IBEX maps</li> <li>hvset_tabular_antiram_cg.zip - results for antiram-only Compton-Getting and survival probability corrected IBEX maps</li> </ul> <p>Each archive includes the following files:</p> <ul> <li><em>com</em>_flux_<em>yyyy</em>_esa_<em>e</em>.txt - reconstructed flux map from spherical harmonic coefficients using the standard IBEX pixelization</li> <li><em>com</em>_fvar_<em>yyyy</em>_esa_<em>e</em>.txt - reconstructed flux variance map from spherical harmonic coefficients using the standard IBEX pixelization</li> <li><em>com</em>_ylm_coeff_<em>yyyy</em>_esa_<em>e</em>.txt - coefficients of the spherical harmonic representation</li> <li><em>com</em>_ylm_mat_<em>yyyy</em>_esa_<em>e</em>.txt - covariance matrix providing uncertainties of the coefficients</li> <li>mask_ribbon_esa_<em>e</em>.txt - ribbon mask</li> <li>matrix_y.txt - matrix transforming the spherical harmonic coefficients into values in IBEX pixels</li> </ul> <p>where:</p> <ul> <li><em>com </em>- indicate the included component of the ENA flux: <ul> <li>gdf - Globally DIstirbuted Flux</li> <li>rib - IBEX ribbon</li> <li>tot - both components (total maps)</li> </ul> </li> <li><em>e</em> - enumerates IBEX energy steps (<em>e</em> = 2, 3, ... 6)</li> <li><em>yyyy</em> - indicates map year (<em>yyyy</em> = 2009, 2010, ..., 2019 or 'single' for the time-combined map)</li> </ul>
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.