Skip to main content
Powered by ShareScore

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.

2

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

2 results for “Predictor-Corrector”

Learn how ShareScore rates datasets ↗
zenodo48/100

Predicted times of bow Shock crossings at Venus from the ESA/Venus Express mission, using spacecraft ephemerides and magnetic field data, with a predictor-corrector algorithm

<p><strong>CHARACTERISTICS</strong><br> Planet: <strong>Venus</strong><br> Radius: <strong>R<sub>V</sub> = 6051.8 km</strong> (volumetric mean planetary radius)<br> Spacecraft: <strong>ESA/Venus Express</strong><br> Spacecraft coordinates system: <strong>Venus Solar Orbital (VSO)</strong> equivalent to <em>Sun-State </em>coordinate system:</p> <ul> <li>+<em>X<sub>VSO</sub></em>&nbsp;points towards the Sun from the planet&rsquo;s centre,</li> <li>+<em>Z<sub>VSO</sub></em>&nbsp;towards Venus&rsquo; North pole and perpendicular to the orbital plane defined as the&nbsp;<em>X<sub>VSO</sub></em>&ndash;<em>Y<sub>VSO</sub></em>&nbsp;plane passing through the centre of Venus,</li> <li><em>Y<sub>VSO</sub></em>&nbsp;completes the orthogonal system.</li> </ul> <p>Time span: <strong>01/04/2006 to 25/11/2014</strong><br> Total number N of candidate bow shock crossings in the database: <strong>N = 4950</strong><br> Number of quasi-parallel bow shock crossings: <strong>N<sub>||</sub> = 844</strong><br> Number of quasi-perpendicular bow shock crossings: <strong>N<sub><span class="math-tex">\(\perp\)</span></sub> = 4106</strong></p> <p><strong>ORIGINAL DATASETS USED</strong><br> The original Venus Express/MAG data repository on which these algorithms&nbsp;were applied is available on ESA&#39;s Planetary Science Archive system (PSA) at: https://archives.esac.esa.int/psa/ftp/VENUS-EXPRESS/MAG/.&nbsp;For this study, 1-Hz magnetic field data was used.</p> <p><strong>METHOD</strong><br> To construct this database from the original datasets above, the&nbsp;predictor and predictor-corrector algorithms used are described for the Mars case in:<br> Simon Wedlund, C., Volwerk, M., Beth, A., Mazelle, C.,&nbsp;M&ouml;stl, C., Halekas, J., Gruesbeck, J. and Rojas-Castillo, D.,&nbsp;(2021), A Fast Bow Shock Location Predictor-Estimator From 2D&nbsp;and 3D Analytical Models: Application to Mars and the MAVEN&nbsp;mission, <em>Journal of Geophysical Research</em>, <strong>127</strong>, e2021JA029942. <a href="https://doi.org/10.1029/2021JA029942">https://doi.org/10.1029/2021JA029942</a></p> <p>They consist of two consecutive steps:&nbsp;</p> <ol> <li>Predictor geometric algorithm based on 2D or 3D existing fits for prediction of the Venus bow shock&nbsp;position. The original fits were taken from 2D conic fits in the plane <span class="math-tex">\(\left(X_\text{VSO}, \sqrt{Y_\text{VSO}^2+Z_\text{VSO}^2}\right)\)</span>performed on the datasets of <strong>Persson et al. (2023)</strong>, Venusian bow shock crossings manually identified from measurements by the ASPERA-4 and MAG instruments onboard Venus Express, <em>Zenodo</em> (<a href="http://doi.org/10.5281/zenodo.7679677">https://doi.org/10.5281/zenodo.7679677</a>).</li> <li>Corrector algorithm based on magnetic field measurements.</li> </ol> <p>We also provide the angle between the average Interplanetary Magnetic Field (IMF)&nbsp;vector upstream of the shock and&nbsp;the shock normal, noted <span class="math-tex"><em>&theta;</em><sub><em>B</em><em>n</em></sub></span> (ThetaBn). Assuming a locally smooth shock surface, this gives a&nbsp;first indication of the geometry of the shock, so that:</p> <ul> <li><span class="math-tex">45<sup>∘</sup>&lt;<em>&theta;</em><sub><em>B</em><em>n</em></sub>&lt;135<sup>∘</sup></span>: quasi-perpendicular shock condition</li> <li><span class="math-tex"><em>&theta;</em><sub><em>B</em><em>n</em></sub>&le;45<sup>∘</sup> and <em>&theta;</em><sub><em>B</em><em>n</em></sub><span class="math-tex">\(\geq\)</span>135<sup>∘</sup></span>: quasi-parallel shock condition</li> </ul> <p>Uncertainty on these angles is estimated to be &plusmn; 5&ordm;.&nbsp;</p> <p>For details, see <strong>Simon Wedlund et al. (2022)</strong> above, &sect;2.3 pp. 10-12.</p> <p><strong>VARIABLES DESCRIPTION</strong></p> <p>This database contains the following ASCII variables:</p> <ul> <li>Bow shock times in Venus Express&#39; database (1-s resolution): <em>T</em><sub>bs</sub></li> <li>Venus Solar Orbital coordinates of the shock, in&nbsp;units of Venus radius <em>R</em><sub>V </sub>(<em>R</em><sub>V</sub> = 6051.8 km):<br> <em>X<sub>VSO</sub></em>,<sub>&nbsp;</sub><em>Y<sub>VSO</sub></em>,&nbsp;<em>Z<sub>VSO</sub></em>&nbsp;and Euclidean&nbsp;distance&nbsp;<span class="math-tex">\(R_{VSO} = \sqrt{X_{VSO}^2 + Y_{VSO}^2 + Z_{VSO}^2}\)</span>&nbsp;(in&nbsp;<em>R<sub>V</sub></em>)</li> <li>Solar Zenith angle in degrees:&nbsp;<em>SZA</em> = <span class="math-tex">\(\tan^{-1}{Y_{VSO}^2+Z_{VSO}^2 \over X_{VSO}^2}\)</span>&nbsp;(in&nbsp;&ordm;)&nbsp;</li> <li>Angle between average B-field direction and&nbsp;shock&nbsp;normal assuming a smooth shock surface <span class="math-tex">\(\theta_{Bn}\)</span>&nbsp;(ThetaBn,&nbsp;in &ordm;, calculated with atan2(norm(cross(<strong>B</strong>,<strong>&ntilde;</strong>),dot(<strong>B</strong>,<strong>&ntilde;</strong>)), with <strong>B</strong> the magnetic field vector and <strong>&ntilde;</strong> the vector normal to the shock surface): <ul> <li>45 &lt; ThetaBn &lt;&nbsp; 135 deg: quasi-<span class="math-tex">\(\perp\)</span> shock</li> <li>ThetaBn <span class="math-tex">\(\leq\)</span> 45 deg &amp; ThetaBn <span class="math-tex">\(\geq\)</span> 135 deg: quasi-|| shock</li> </ul> </li> <li>Interplanetary Magnetic Field (IMF) upstream average vector in VSO coordinates, <em>B<sub>x</sub></em>, <em>B<sub>y</sub></em>, <em>B<sub>z</sub></em> (in nT).</li> <li>Flag for direction of crossing: <ul> <li>flag = 0: magnetosheath <span class="math-tex">\(\longrightarrow\)</span>&nbsp;solar wind (2447 events)</li> <li>flag = 1: solar wind <span class="math-tex">\(\longrightarrow\)</span> magnetosheath (2503 events)</li> </ul> </li> </ul> <p><strong>WARNING</strong></p> <ol> <li>This version of the database is currently in a preliminary stage of application and, as such, is not fully tested. Solar wind upstream magnetic field values (IMF) are given only as a first approximation for each orbit segment. See point 2 for caveats. For carefully manually picked shock crossings, the user is referred to the database of:<br> <strong>Persson et al. (2023)</strong>, Venusian bow shock crossings manually identified from measurements by the ASPERA-4 and MAG instruments onboard Venus Express, <em>Zenodo</em> (<a href="http://doi.org/10.5281/zenodo.7679677">https://doi.org/10.5281/zenodo.7679677</a>)</li> <li>This database is based on an automatic statistical&nbsp;geometrical estimate, further refined by constraints on magnetic&nbsp;fields. This is aimed at giving a first approximation of the shock area times in the Venus Express data. It is particularly suited to&nbsp;statistical studies and region identification in the Venus Express datasets. As such, this database should be used as a <em>first&nbsp;indicator</em> of the shock location, and <em>with</em> <em>caution</em>: it <strong>CANNOT</strong>, and <strong>WILL NOT&nbsp;</strong>substitute, especially in case studies, for a careful analysis&nbsp;of the full magnetometer and plasma bow shock signatures.&nbsp;Moreover, the algorithm is optimised for detecting the first disturbance observed in&nbsp;the magnetic field immediately ahead of the shock&#39;s foot (in the foreshock area), and not for the detection of&nbsp;other structures in the shock, such as the shock ramp. The&nbsp;&quot;shock&quot;&nbsp;location is therefore given here with typical uncertainties of about 0.040 R<sub>V</sub> (with R<sub>V</sub> = 6051.8 km, i.e., about 250 km in the radial direction). Finally, for multiple shock crossings, the algorithm chooses the first occurrence of the shock starting from the undisturbed&nbsp;solar wind.</li> </ol> <p>Current formatting optimised for MATLAB.</p> <p><strong>ACKNOWLEDGEMENTS</strong><br> C. Simon Wedlund and M. Volwerk thank the Austrian Science Fund&nbsp;(FWF) project P32035-N36. &nbsp; &nbsp;</p> <p><strong>LICENSE AND RIGHTS</strong><br> This database is shared under a Creative Commons CC-BY-4.0 license.</p> <p>Version 1 (c) Cyril Simon Wedlund @ Space Research Institute of Graz (IWF),&nbsp;<br> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Austrian Academy of Sciences, 2022-10-05<br> Contact email: &nbsp; &nbsp; &nbsp; &nbsp;cyril.simon.wedlund@gmail.com</p>

opencc-by-4.0Feb 2023View details →
zenodo44/100

Predicted times, spatial coordinates of bow shock crossings and shock geometry at Mars from the NASA/MAVEN mission, using spacecraft ephemerides and magnetic field data, with a predictor-corrector algorithm

<p><strong>CHARACTERISTICS</strong><br>Planet: <strong>Mars</strong><br>Radius: <strong>R<sub>M</sub> = 3389.5 km</strong> (volumetric mean planetary radius)<br>Spacecraft: <strong>NASA/Mars Atmosphere and Volatile Evolution (MAVEN)</strong><br>Spacecraft coordinates system: <strong>Mars Solar Orbital (MSO)</strong> equivalent to <em>Sun-State </em>coordinate system:</p> <ul> <li>+<em>X<sub>MSO</sub></em>&nbsp;points towards the Sun from the planet&rsquo;s centre,</li> <li>+<em>Z<sub>MSO</sub></em>&nbsp;towards Mars&rsquo; North pole and perpendicular to the orbital plane defined as the&nbsp;<em>X<sub>MSO</sub></em>&ndash;<em>Y<sub>MSO</sub></em>&nbsp;plane passing through the centre of Mars,</li> <li><em>Y<sub>MSO</sub></em>&nbsp;completes the orthogonal system.</li> </ul> <p>Time span:&nbsp;<strong>01/11/2014 to 30/04/2024</strong> (Mars Years MY32 to MY36 included, part of MY37).<br>Total number N of candidate bow shock crossings in the database: <strong>N = 20107</strong></p> <p><strong>ORIGINAL DATASETS USED</strong><br>The original MAVEN/MAG data repository on which these algorithms&nbsp;were applied is available on NASA's Planetary Data System (PDS) at&nbsp;<a href="https://doi.org/10.17189/1414178">https://doi.org/10.17189/1414178</a>.&nbsp;For this study, 1-Hz magnetic field data was used.</p> <p><strong>METHOD</strong><br>To construct this database from the original datasets above, the&nbsp;predictor and predictor-corrector algorithms used are described in:<br>Simon Wedlund, C., Volwerk, M., Beth, A., Mazelle, C.,&nbsp;M&ouml;stl, C., Halekas, J., Gruesbeck, J. and Rojas-Castillo, D.,&nbsp;(2022), A Fast Bow Shock Location Predictor-Estimator From 2D&nbsp;and 3D Analytical Models: Application to Mars and the MAVEN&nbsp;mission,&nbsp;<em>Journal of Geophysical Research</em>, <strong>127</strong>, 1-33,&nbsp;e2021JA029942,&nbsp;<a href="https://doi. org/10.1029/2021JA029942">https://doi. org/10.1029/2021JA029942</a>.&nbsp;</p> <p>Also available at: <a href="https://doi.org/10.1002/essoar.10507942.1">https://doi.org/10.1002/essoar.10507942.1 </a>&nbsp;and as arXiv e-print:&nbsp;<a href="https://doi.org/10.48550/arXiv.2109.04366">https://doi.org/10.48550/arXiv.2109.04366</a></p> <p>These algorithms consist of two consecutive steps:&nbsp;</p> <ol> <li>Predictor geometric algorithm based on J. Gruesbeck's 3D model&nbsp;(<a href="https://doi.org/10.1029/2018JA025366">Gruesbeck et al. 2018</a>) for prediction of Mars bow shock&nbsp;position</li> <li>Corrector algorithm based on magnetic field measurements (magnitude and fluctuations).</li> </ol> <p><strong>REMARK ON VERSIONS</strong><br>From Version 3 onwards, we also provide the angle between the average Interplanetary Magnetic Field (IMF) vector upstream of the shock and the shock normal, noted \(\theta_{Bn}\)(ThetaBn). Assuming a smooth shock surface and&nbsp;the 3D model of Gruesbeck et al. (2018, all points), this gives a&nbsp;first indication of the geometry of the shock, so that:</p> <ul> <li>45<sup>∘</sup>&lt;<em>&theta;</em><sub><em>B</em><em>n</em></sub>&lt;135<sup>∘</sup>: quasi-perpendicular shock condition</li> <li><em>&theta;</em><sub><em>B</em><em>n</em></sub>&le;45<sup>∘</sup> and <em>&theta;</em><sub><em>B</em><em>n</em></sub>&ge;135<sup>∘</sup>: quasi-parallel shock condition</li> </ul> <p>Uncertainty on these angles is estimated to be &plusmn; 5&ordm;.&nbsp;</p> <p>From Version 4 onwards, we also added the solar longitude Ls (in degrees).</p> <p>For details, see Simon Wedlund et al. (2022) above, &sect;2.3 pp. 10-12.&nbsp;Note that due to minor adjustments in the code, some of the&nbsp;ThetaBn angles calculated here for the examples of Fig. 6 in&nbsp;Simon Wedlund et al. (2022) may slightly differ from the values&nbsp;quoted in the paper.</p> <p><strong>VARIABLES DESCRIPTION</strong><br>This database contains the following ASCII variables:</p> <ul> <li>Bow shock times in MAVEN's database (1-s resolution): <em>T</em><sub>bs</sub></li> <li>Mars Solar Orbital coordinates of the shock, in&nbsp;units of Mars radius <em>R</em><sub><em>M</em>&nbsp;</sub>(<em>R<sub>M</sub></em> = 3389.5 km):<br><em>X<sub>MSO</sub></em>,<sub>&nbsp;</sub><em>Y<sub>MSO</sub></em>,&nbsp;<em>Z<sub>MSO</sub></em>&nbsp;and Euclidean&nbsp;distance&nbsp;\(R_{MSO} = \sqrt{X_{MSO}^2 + Y_{MSO}^2 + Z_{MSO}^2}\)&nbsp;(in&nbsp;<em>R<sub>M</sub></em>)</li> <li>Solar Zenith angle in degrees:&nbsp;<em>SZA</em> = \(\tan^{-1}{Y_{MSO}^2+Z_{MSO}^2 \over X_{MSO}^2}\)&nbsp;(in&nbsp;&ordm;)&nbsp;</li> <li>Angle between average B-field direction and&nbsp;shock&nbsp;normal assuming a smooth shock surface \(\theta_{Bn}\) (ThetaBn,&nbsp;in &ordm;) <ul> <li>45 &lt; ThetaBn &lt;&nbsp; 135 deg: quasi-&perp; shock</li> <li>ThetaBn &le;45 deg &amp; ThetaBn &ge; 135 deg: quasi-|| shock</li> </ul> </li> <li>Solar longitude Ls, in degrees.</li> <li>Flag for crossing: <ul> <li>sheath&nbsp;\(\longrightarrow\)&nbsp;solar wind, flag = 0.</li> <li>solar wind \(\longrightarrow\)&nbsp;sheath, flag = 1.</li> </ul> </li> </ul> <p><strong>WARNING</strong><br>This database is based on an automatic statistical&nbsp;geometrical estimate, further refined by constraints on magnetic&nbsp;field. It is aimed at giving a first approximation of the shock area times in the MAVEN data. It is particularly suited to&nbsp;statistical studies and region identification in the MAVEN&nbsp;datasets. As such, this database should be used as a <em>first&nbsp;indicator</em> of the shock location, and <em>with</em> <em>caution</em>: it <strong>CANNOT</strong>, and <strong>WILL NOT&nbsp;</strong>substitute, especially in case studies, for a careful analysis&nbsp;of the full magnetometer and plasma suite bow shock signatures.&nbsp;Moreover, the algorithm is optimised for detecting the first disturbance observed in&nbsp;the magnetic field immediately ahead of the shock's foot (in the foreshock area), and not for the detection of&nbsp;other structures in the shock, such as the shock ramp. The&nbsp;"shock"&nbsp;location is therefore given here with typical uncertainties of about 0.075 R<sub>M</sub>&nbsp;(with R<sub>M</sub>&nbsp;= 3389.5 km, i.e., about 250 km in the radial direction). Finally, for multiple shock crossings, the algorithm chooses the first occurrence of the shock starting from the undisturbed&nbsp;solar wind.</p> <p>Current formatting optimised for MATLAB.</p> <p><strong>ACKNOWLEDGEMENTS</strong><br>C. Simon Wedlund and M. Volwerk thank the Austrian Science Fund&nbsp;(FWF) project P32035-N36. C. M&ouml;stl thanks the Austrian Science&nbsp;Fund FWF projects P31659-N27, P31521-N27. A. Beth thanks the&nbsp;Swedish National Space Agency (SNSA) and its support with the&nbsp;grant 108/18.&nbsp;This database was notably used to add to the Helio4Cast database&nbsp;which monitors solar wind parameters in the solar system&nbsp;(<a href="https://doi.org/10.6084/m9.figshare.6356420">https://doi.org/10.6084/m9.figshare.6356420</a>). Helio4Cast is&nbsp;available at <a href="http://www.helioforecast.space/icmecat">www.helioforecast.space/icmeca</a>t and&nbsp;<a href="http://www.helioforecast.space/sircat">www.helioforecast.space/sircat</a>. &nbsp; &nbsp;&nbsp;</p> <p><strong>LICENSE AND RIGHTS</strong><br>This database is shared under a Creative Commons CC-BY-4.0 license.</p> <p>Version 1 (c) Cyril Simon Wedlund @ Space Research Institute of Graz (IWF),&nbsp;<br>&nbsp;&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Austrian Academy of Sciences (&Ouml;AW), 2021-09-08<br>Version 2 (c) CSW @ &Ouml;AW/IWF, 2021-11-30 -- Addition of R_MSO and SZA<br>Version 3 (c) CSW @ &Ouml;AW/IWF, 2022-02-09 -- Addition of ThetaBn<br>Version 4 (c) CSW @ &Ouml;AW/IWF, 2025-03-20 -- Addition of Ls, Bx, By, Bz and Bt.</p> <p>&nbsp;</p> <p><br>Contact email: &nbsp; &nbsp; &nbsp; &nbsp;cyril.simon.wedlund@gmail.com</p>

opencc-by-4.0Nov 2021View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record