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.

4

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

4 results for “shear-wave splitting”

Learn how ShareScore rates datasets ↗
zenodo40/100

Table S1 for "Lowermost mantle anisotropy beneath Africa from differential SKS-SKKS shear-wave splitting"

<p>SKS-SKKS measurements per station and per event. We provide details in the following order: station, network, station latitude, station longitude, event date, event time, event latitude, event longitude, event depth, event magnitude, distance, backazimuth, misalignment correction value, phi, dt, min. phi error, max. phi error, min. dt error, max. dt error, splitting intensity, min. splitting intensity error, max. splitting intensity error, category (SplitRacer), individual category, category for pair. Values for field &lsquo;category(SplitRacer)&rsquo; are based on SplitRacer&rsquo;s quality criteria: good, average, null-measurement, with our addition of the category &lsquo;fair null-measurement&rsquo; for nulls which are slightly noisy. In general, these categories are selected by the user on the basis of the noise level of the traces, the amount of energy reduction, splitting intensity value (and errors), visual comparison of the time derivative radial component to the transverse component, scatter in the histogram over the used time windows and the size of 95% confidence level The selection of final usable events was then based on the width of the 95% confidence level. The field &lsquo;Individual category&rsquo; has the following values: 0=null-measurement; 1=very good (phi error &lt; 30&deg;; dt error 0.75 s); 2= good (phi error &gt;30&deg;; &lt; 60&deg;, dt error &gt; 0.75 s; &lt;1.55 s), 3= fair (error bars larger than category 2 but clear splitting and the other phase of the same event is a category 1). Categories for pairs are: 0 = both phases are null-measurements; 1= both phases have an individual category of 1, individual categories of 1 &amp; 2, or one phase is null while the other is an individual category 1; 2= both phases have an individual category of 2 or one phase is null while the other is an individual category 2 measurement or one phase is an individual category 1 measurement while the other is an individual category 3 measurement (the latter only applies to 30 pairs in total).</p>

opencc-by-4.0May 2019View details →
zenodo40/100

Additional dataset concerning "Observations of mantle seismic anisotropy using array techniques: shear-wave splitting of beamformed SmKS phases"

<p>SplitRacer input and output for beams and single-station splitting measurements for event 201007290731. This dataset was used in &quot;Observations of mantle seismic anisotropy using array techniques: shear-wave splitting of beamformed SmKS phases&quot; by Jonathan Wolf, Daniel A. Frost, Maureen D. Long, Ed Garnero, Adeolu O. Aderoju, Neala Creasy and Ebru Bozdag. The manuscript is available at <a href="https://doi.org/10.1029/2022JB025556">https://doi.org/10.1029/2022JB025556</a>.</p>

opencc-by-4.0Nov 2022View details →
zenodo36/100

Shear-wave splitting measurements for a 10-year catalogue in Taupō volcano

<p>The dataset provided includes&nbsp;seismic anisotropy results using a&nbsp;10-year catalogue&nbsp;around Taupō volcano (January 2010 &nbsp;to December&nbsp;2019).&nbsp;For the seismic anisotropy measurements, we used seismic data from 23 stations managed by GeoNet.&nbsp;The earthquake catalogue for this dataset was determined by Illsley-Kemp et al. (2021) using matched-filtered earthquake detection (Chamberlain &amp; Townend,&nbsp;2018).&nbsp;The earthquake templates for the matched-filtered detection were obtained from the GeoNet catalogue with revised manual picks.&nbsp;</p> <p>In case you use this data, please cite the following publications:</p> <p>Bakkar, H. (2022).&nbsp;<em>Seismic anisotropy and time-frequency analyses during Taupō&#39;s 2019 unrest</em>&nbsp;[Master&#39;s thesis, Victoria University of Wellington].</p> <p>Illsley-Kemp, F., Barker, S. J., Wilson, C. J. N., Chamberlain, C. J., Hreinsd ́ottir, S., Ellis, S., Hamling, I. J., Savage, M. K., Mestel, E. R., &amp; Wadsworth, F. B. (2021). Volcanic unrest at Taupo ̄ volcano in 2019: Causes, mechanisms and implications.&nbsp;Geochemistry, Geophysics, Geosystems, e2021GC009803.</p> <p>The data is presented in&nbsp;.csv files, in the same format as MFAST output,&nbsp; (http://mfast-package.geo.vuw.ac.nz),&nbsp;in which each column is:</p> <p>1.&nbsp;Name of the event.</p> <p>2. Station code.</p> <p>3. Station latitude.</p> <p>4. Station longitude.</p> <p>5. Event identification number.</p> <p>6. Year.</p> <p>7. Julian day on which the event occurred, with decimal digits giving the fraction of the day.</p> <p>8. Earthquake latitude in degrees.</p> <p>9. Earthquake longitude in degrees.</p> <p>10. Distance between earthquake and station (km).</p> <p>11. Earthquake depth (km).</p> <p>12. Earthquake magnitude.</p> <p>13. Back azimuth&nbsp;in degrees.</p> <p>14. Initial polarisation of the shear wave in degrees.</p> <p>15. Error of the initial polarisation in degrees, one standard deviation.</p> <p>16. Start time of the selected measurement window in seconds, relative to the start of the seismogram at t = 0.</p> <p>17.&nbsp;End time of the selected measurement window in seconds, relative to the start of the seismogram at t = 0.</p> <p>18. Not used</p> <p>19. Not used</p> <p>20. Signal to noise ratio for this event.</p> <p>21. Delay tome between fast and slow shear wave in seconds.</p> <p>22.&nbsp;Delay time&nbsp;between fast and slow shear wave in seconds.</p> <p>23.&nbsp;Angle of the orientation of the fast shear wave (&phi;), in degrees from North.</p> <p>24. Error of&nbsp;&phi;&nbsp;in degrees, one standard deviation.</p> <p>25. Angle of incidence at the station, measured against a horizontal plane in degrees, where&nbsp;0&nbsp;means vertical incidence.</p> <p>26. Not used</p> <p>27.&nbsp;Type of measurement. This field contains the measurement code that is used, the number of measurement window start times&nbsp;and the number of window end times.</p> <p>28. Not used</p> <p>29. Not used</p> <p>30.&nbsp;Nyquist frequency of the event in Hz.</p> <p>31. Evaluation of the measurement quality.</p> <p>32.&nbsp;Lower corner frequency of the bandpass filter in Hz.</p> <p>33.&nbsp;Higher corner frequency of the bandpass&nbsp;filter in Hz.</p> <p>34.&nbsp;Angle between the initial&nbsp;polarisation and the fast orientation in degrees.</p> <p>35. Not used</p> <p>36. Not used</p> <p>37.&nbsp;The maximum value of the eigenvalue of the corrected covariance matrix.</p> <p>38.&nbsp;The number of degrees of freedom in the measurement.&nbsp; &nbsp; &nbsp;&nbsp;</p> <p>39.&nbsp;The minimum value of the eigenvalue of the covariance matrix before it was scaled to have the 95% confidence level set to 1.</p> <p>40.&nbsp;The&nbsp;S-wave travel time between the earthquake and the station.</p> <p>41.&nbsp;The dominant frequency in the S wave, determined from the frequency at the maximum spectral amplitude.</p>

opencc-by-4.0Nov 2022View details →
zenodo28/100

Shear-wave splitting measurements in the Dead Sea rift

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2023View 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