Skip to main content
ConductScienceScienceDex
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 “envelope following responses”

Learn how ShareScore rates datasets ↗
zenodo44/100

Investigating the effect of cochlear synaptopathy on envelope following responses using a model of the auditory nerve

<p>Dataset&nbsp;containing the recorded and simulated data reported in the&nbsp;manuscript &quot;Investigating the effect of cochlear synaptopathy on envelope following responses using a model of the auditory nerve&quot; published in the&nbsp;Journal of the Association for Research in Otolaryngology, JARO (<a href="https://doi.org/10.1007/s10162-019-00721-7">https://doi.org/10.1007/s10162-019-00721-7</a>):</p> <ol> <li>RECORDED Envelope Following Responses (EFR) in normal-hearing (NH) threshold and hearing-impaired (HI) human listeners using deeply (m = 85%) and shallowly (m = 25%) modulated sinusoidally amplitude modulated (SAM) tones.</li> <li>SIMULATED EFRs using the auditory nerve (AN) model by&nbsp;Zilany et al. (2009, 2014).</li> </ol> <p>Files content and structure:</p> <p><strong>Recorded EFRs</strong></p> <p><strong>Fig. 2:</strong></p> <ul> <li><em>fig2__recorded_efr.csv</em>: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<br> EFR recordings as a function of stimulus level (EFR magnitude-level&nbsp;functions)&nbsp;for the NH and HI listeners using two modulation depths.</li> </ul> <p>The file&nbsp;containing the recorded EFR data have the following columns:</p> <ul> <li><em>lvl</em>: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Stimulation level</li> <li><em>m85_ok: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</em>EFR magnitude (dB re to 1&nbsp;&micro;V) using m =&nbsp;85%. Significant responses (F-test = 1)</li> <li><em>m85_ko: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</em>EFR magnitude (dB re to 1&nbsp;&micro;V) using m =&nbsp;85%. Non-significant responses (F-test = 0)</li> <li><em>m85_bkg:&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;</em>Estimated background noise magnitude (dB re to 1&nbsp;&micro;V) for&nbsp;the recordings when m = 85%</li> <li><em>m25_ok: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</em>EFR magnitude (dB re to 1&nbsp;&micro;V) using m = 25%. Significant responses (F-test = 1)</li> <li><em>m25_ko: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</em>EFR magnitude (dB re to 1&nbsp;&micro;V) using m = 25%. Non-significant responses (F-test = 0)</li> <li><em>m25_bkg:&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;</em>Estimated background noise magnitude (dB re to 1&nbsp;&micro;V) for&nbsp;the recordings when m = 25%&nbsp;</li> <li><em>subj: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</em>Listener id</li> <li>hearing: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Hearing group (nh | hi) of the listener</li> </ul> <p><strong>Simulated EFRs:</strong></p> <p><strong><em>Files with the simulation results summing across frequency and SR fiber type</em></strong></p> <p><strong>Fig. 4:</strong></p> <ul> <li><em>fig4a__simul_efr__nh_23ohc_13ihc__no_cs.csv</em>:&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<br> Simulated EFR magnitude-level&nbsp;function for the NH threshold listeners (average) assuming 2/3 of OHC loss and 1/3 of IHC loss (Fig. 4a).</li> <li><em>fig4b__simul_efr__nh_slp_thres_all_ohc__no_cs.csv</em>: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<br> Simulated EFR magnitude-level function for the NH threshold listeners (average) assuming sloping threshold at extended high frequencies (EHF) and all of OHC loss&nbsp;(Fig. 4b).</li> <li><em>fig4c__simul_efr__nh_slp_thres_all_ihc__no_cs.csv</em>:&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<br> Simulated EFR magnitude-level function for the NH threshold listeners (average) assuming sloping threshold at extended high frequencies (EHF) and all of IHC loss&nbsp;(Fig. 4c).</li> <li><em>fig4d__simul_efr__hi_23ohc_13ihc__no_cs.csv</em>:&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<br> Simulated EFR magnitude-level&nbsp;function for the HI listeners (average) assuming 2/3 of OHC loss and 1/3 of IHC loss (Fig. 4d).</li> <li><em>fig4e__simul_efr__hi_all_ohc__no_cs.csv</em>:&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<br> Simulated EFR magnitude-level function for the HI threshold listeners (average) assuming&nbsp;all of OHC loss&nbsp;(Fig. 4e).</li> <li><em>fig4f__simul_efr__hi_all_ihc__no_cs.csv</em>:&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<br> Simulated EFR magnitude-level function for the HI threshold listeners (average) assuming all of IHC loss&nbsp;(Fig. 4f).</li> <li><em>fig4g__simul_efr__hi_slp_thres_23ohc_13ihc__no_cs.csv</em>:&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<br> Simulated EFR magnitude-level&nbsp;function for the HI listeners (average) assuming&nbsp;sloping threshold at EHF&nbsp;and 2/3 of OHC loss and 1/3 of IHC loss (Fig. 4d).</li> <li><em>fig4h__simul_efr__hi_slp_thres_all_ohc__no_cs.csv</em>:&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<br> Simulated EFR magnitude-level function for the HI threshold listeners (average) assuming sloping threshold at EHF&nbsp;and all of OHC loss&nbsp;(Fig. 4e).</li> <li><em>fig4i__simul_efr__hi_slp_thres_all_ihc__no_cs.csv</em>:&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<br> Simulated EFR magnitude-level function for the HI threshold listeners (average) assuming sloping threshold at EHF&nbsp;and and all of IHC loss&nbsp;(Fig. 4f).</li> </ul> <p>&nbsp;</p> <p><strong>Fig. 5:</strong></p> <ul> <li><em>fig5a__simul_efr__nh__cs_ms_ls_100p.csv</em>: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<br> Simulated EFR magnitude-level function for the NH threshold listeners (average) assuming&nbsp;cochlear synaptopathy (CS) of a 100% of loss of only medium- and low-spontaneous rate (SR)&nbsp;AN fibers&nbsp;(Fig. 5a).</li> <li><em>fig5b__simul_efr__nh09_cs__approx</em>.<em>csv</em>: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<br> Simulated EFR magnitude-level function to approximate the data for the NH threshold listener NH09 including CS (Fig. 5b).</li> <li><em>fig5c__simul_efr__hi04_cs__approx</em>.<em>csv</em>: &nbsp;<br> Simulated EFR magnitude-level function to approximate the data for the HI listener HI04&nbsp;including CS (Fig. 5c).</li> </ul> <p>&nbsp;</p> <p><strong>Fig. 6:</strong></p> <p>Files with the simulation results for the NH threshold listener&nbsp;in different characteristic frequency (CF) bands and SR fiber types</p> <ul> <li><em>fig6__simul_efr__nh_cf_band_analys__no_cs__m12.mat</em>: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<br> Simulated EFR magnitude-level function for the NH using a SAM tone with m = 12%.</li> <li><em>fig6__simul_efr__nh_cf_band_analys__no_cs__m25.mat</em>: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<br> Simulated EFR magnitude-level function for the NH using a SAM tone with m = 25%.</li> <li><em>fig6__simul_efr__nh_cf_band_analys__no_cs__m50.mat</em>: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<br> Simulated EFR magnitude-level function for the NH using a SAM tone with m = 50%.</li> <li><em>fig6__simul_efr__nh_cf_band_analys__no_cs__m85.mat</em>: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<br> Simulated EFR magnitude-level function for the NH using a SAM tone with m = 85%.</li> <li><em>fig6__simul_efr__nh_cf_band_analys__no_cs__m100.mat</em>: &nbsp; &nbsp; &nbsp; &nbsp;<br> Simulated EFR magnitude-level function for the NH using a SAM tone with m = 100%.</li> </ul> <p>&nbsp;</p> <p><strong>Fig. 7:</strong></p> <ul> <li><em>fig7a__simul_efr__bw_analys__32oct_[20, 40, 60, 80, 100]p.csv</em>: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<br> Simulated EFR magnitude-level function for the NH threshold listeners assuming&nbsp;CS of a bandwidth (BW) of 3/2-octave for a loss of AN fibers ranging from 20% to&nbsp;100% (Fig. 7a).</li> <li><em>fig7b__simul_efr__bw_analys__1oct_[20, 40, 60, 80, 100]p.csv</em>: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<br> Simulated EFR magnitude-level function for the NH threshold listeners assuming&nbsp;CS of a bandwidth (BW) of 1-octave for a loss of AN fibers ranging from 20% to&nbsp;100% (Fig. 7b).</li> <li><em>fig7c__simul_efr__bw_analys__13oct_[20, 40, 60, 80, 100]p.csv</em>:<br> Simulated EFR magnitude-level function for the NH threshold listeners assuming&nbsp;CS of a bandwidth (BW) of 1/3-octave for a loss of AN fibers ranging from 20% to&nbsp;100% (Fig. 7c).</li> </ul> <p>&nbsp;</p> <p>-----------------------------------------------------------------------------------------------------------------------------------------------------------------</p> <p>&nbsp;</p> <p>The structure of the .csv files that contain the EFR simulations is:</p> <ul> <li><em>lvl</em>: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Stimulation level</li> <li><em>mgn_mxxx: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</em>Simulated EFR magnitude (a.u. in dB) for each modulation depth (100%, 85%, 50%, 25% and 12%)</li> <li><em>bkg_mxxx: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;</em>Estimate of the background noise floor (a.u. in dB)&nbsp;for each modulation depth.&nbsp;</li> <li><em>ftest_mxxx: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</em>Result of the F-test statistical test&nbsp;(0 or 1) for each modulation depth.</li> </ul> <p>&nbsp;</p> <p>The structure of the .mat&nbsp;files that contain the EFR simulations is:</p> <ul> <li><em>exper_type</em>:&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Name of the simulated experiment</li> <li><em>species</em>:&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Species used in the AN model (in this study is always 2: human)</li> <li><em>species_age</em>:&nbsp; &nbsp; &nbsp; &nbsp; &nbsp;(Not used in this work). Age of the animal when species is 4: mouse</li> <li>modulation<em>: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</em>Modulation depth of the SAM tone used in the simulation <em>(100%, 85%, 50%, 25% or 12%)</em></li> <li><em>f_on: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</em>Center frequency of the on-frequency band (<em>2000 Hz</em>)</li> <li><em>f_off_hf: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;</em>Center frequency of the first off-frequency band (<em>3000 Hz</em>)</li> <li><em>f_off_vhf: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; </em>Center frequency of the second off-frequency band (<em>7000 Hz</em>)&nbsp;</li> <li><em>f_off_uvhf: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; </em>Center frequency of the third&nbsp;off-frequency band (<em>12000 Hz</em>)</li> <li><em>lvl_vect: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; </em>Stimulus level vector&nbsp;<em>(from 5 to 100 dB SPL, in steps of 5 dB)</em></li> <li><em>simul_efr &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;</em>&nbsp;&nbsp;Structure with the simulated data <ul> <li>The data structure contains many fields which are&nbsp;matricies of size 3x20. The columns are the 20 stimulus levels defined in <em>lvl_vect</em>, and the first row is the simulated EFR, the second row is the estimates background noise floor in the simulation, and the third row is the output of the F-test statistics.</li> <li>The structure fields can be divided in&nbsp;4 groups: <ul> <li><em>ihc_</em> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Responses from the IHC (not shown in the paper)</li> <li><em>an_hs_</em> &nbsp; &nbsp; &nbsp;Responses from the High-SR fibers in the AN</li> <li><em>an_ms_</em> &nbsp; &nbsp; Responses from the Medium-SR fibers in the AN</li> <li><em>an_ls_</em> &nbsp; &nbsp; &nbsp; Responses from the Low-SR fibers in the AN</li> </ul> </li> <li>Each group has 5 responses corresponding to the on-frequency band (<em>_on</em>) and the three off-frequency bands (<em>_off_hf</em>, <em>_off_vhf</em>, <em>_off_uvhf</em>); and the sum across frequencies (<em>_across_f</em>)</li> </ul> </li> </ul>

opencc-by-4.0Aug 2017View details →
zenodo40/100

On the use of envelope following responses to estimate peripheral level compression in the auditory system

<p>Dataset&nbsp;containing the envelope following responses (EFR) recordings related to the manuscript &quot;Can envelope following responses be used to estimate level compression in the auditory system?&quot;.</p> <p>Files content and structure:</p> <p><strong>EFR:</strong></p> <ul> <li><em>1_data__efr_nh.csv</em>: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; EFR recordings from&nbsp;the normal-hearing (NH) listeners</li> <li><em>2_data__efr_hi.csv</em>: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;EFR recordings from&nbsp;the hearing-impaired (HI) listeners</li> <li><em>3_data__efr_nh_repeat.csv</em>: &nbsp; &nbsp; Repeated EFR recordings from&nbsp;the NH listeners</li> </ul> <p>The files regarding the EFR recordings contain:</p> <ul> <li><em>subject</em>: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Listener id</li> <li><em>lvl_vect</em>: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Stimulation level</li> <li><em>efr_magn_xxxx_hz: &nbsp;</em>EFR magnitude (dB re to 1&nbsp;&micro;V) for each of the simultaneously recorded frequencies (0.5, 1, 2 and 4 kHz).</li> <li><em>efr_bkg_xxxx_hz: &nbsp; &nbsp;&nbsp;</em>Magnitude (dB re to 1&nbsp;&micro;V)&nbsp;of an estimate of the background noise floor of the recording for each frequency.&nbsp;</li> <li><em>ftest_xxxx_hz: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</em>Ftest (0 or 1) value for each frequency.</li> </ul> <p>&nbsp;</p> <p>Distortion-product otoacoustic emissions (DPOAE) were also recorded in the same listeners although the data was not included in the final manuscript. Details of the methodology used can be given on request.</p> <p><strong>DPOAE:</strong></p> <ul> <li><em>4_data__dpoae_nh.csv</em>: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;DPOAE recordings from&nbsp;the NH listeners.</li> </ul> <p>The files regarding the DPOAE recordings contain:</p> <ul> <li><em>subject</em>: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Listener id</li> <li><em>lvl_vect</em>: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Stimulation level</li> <li><em>dpoae_magn_xxxx_hz: &nbsp;</em>DPOAE magnitude (dB SPL) for each of the simultaneously recorded frequencies (0.5, 1, 2 and 4 kHz).</li> <li><em>dpoae_bkg_xxxx_hz: &nbsp; &nbsp;&nbsp;</em>Magnitude (dB SPL)&nbsp;of an estimate of the background noise floor of the recording for each frequency.&nbsp;</li> <li><em>signif_xxxx_hz: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</em>Satisfaction of the significance criterion&nbsp;(0 or 1) for each frequency.</li> </ul> <p>&nbsp;</p>

opencc-by-4.0Aug 2017View 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