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.
70
datasets available to search
ShareScore release 0.9.0
Dataset results
70 results for “hearing impairment”
Meta-GWAS for age-related hearing impairement
<p>The dataset comprises summary statistics from the meta-GWAS of 17 studies on age-related hearing impairement. The dataset accompanies the following paper:</p> <p><strong>Genome-wide association meta-analysis identifies 48 risk variants and highlights the role of the stria vascularis in age-related hearing impairment</strong></p> <p>Please cite the paper if using this dataset.</p> <p>Phenotype of ARHI was established using ICD diagnoses and self-reported hearing loss. The study comprised 148,152 cases and 575,472 controls or European ancestry. Adult male and female participants were included from the following 17 population-based cohort studies: Age, Genes/Environment Susceptibility - Reykjavik (AGES), the Danish Twin Registry (DTR), the Estonian Genome Center at the University of Tartu (EGCUT), FinnGen, Framingham Heart Study (FHS), Health Aging and Body Composition (HABC), Italian Network of Genetic Isolates - Friuli Venezia Giulia (INGI-FVG), the Rotterdam Study (RS, cohorts 1 - 3), the Salus in Apulia study (SA; formerly known as Great Age study), Screening Across the Lifespan Twin (SALT and SALTY - young), Screening Twin Adults: Genes and Environment (STAGE), TwinsUK, UK Biobank (UKBB), and the Women’s Genome Health Study (WGHS). </p> <p>UK Biobank data have been used under project #11516.</p> <p>Individual GWASs have been QC'd and harmonyzed using EasyQC followed by fixed-effects IVW meta-analysis using METAL. The dataset includes the results of meta-analysis for n = 8,244,938 SNV with MAF >0.001 and present in at least 9 cohorts.<br> <br> <strong>Dataset columns:</strong></p> <p>SNP, rsID</p> <p>CHR, chromosome</p> <p>BP, genomic position (hg19)</p> <p>Allele1, effect allele</p> <p>Allele2, other allele</p> <p>Freq1, mean frequency of Allele1</p> <p>FreqSE, standard error of Freq1</p> <p>MinFreq, minimal frequency of Allele1 in the study cohorts</p> <p>MaxFreq, maximal frequency of Allele1 in the study cohorts</p> <p>Effect, effect size from the meta-analysis for Allele1</p> <p>StdErr, standard error of Effect</p> <p>P.value, corresponding p-value for meta-analysis</p> <p>Direction, direction of effects in individual studies</p> <p>HetISq, I<sup>2</sup> statistic for heterogeneity between studies</p> <p>HetChiSq, chi<sup>2</sup> statistic for heterogeneity between studies</p> <p>HetDf, degrees of freedom for the chi<sup>2</sup> statistic</p> <p>HetPval, p-value for heterogeneity between studies</p> <p>N, summary sample size</p> <p><strong>Dataset columns description:</strong></p> <p> </p> <p> </p> <p> </p> <p> </p> <p>Seventeen studies included:</p> <p> </p> <p> </p>
Bilateral hearing impaired children assessment of horizontal auditory localization accuracy in a virtual visual environment with free head movement
<p>Twenty-two hearing-impaired children (13 males and 9 females, mean age: 10.45 years, standard deviation 3.13 years) participated in an auditory localization experiment in a virtual visual environment. We investigated the contribution of head movements to localization along the interaural plane in absence of motor constraints and visual cues on a virtual scene, experienced by individuals wearing a head-mounted display while listening to stimuli coming from a circular loudspeaker array. Each session included multiple test conditions. In each condition, the stimulus was presented from loudspeaker positions that were randomly balanced across a sequence of 13 x 5 = 65 trials. Each participant performed the task first with both devices turned on ("On-On"), then with one device (either the left or right one) turned on and one off ("On-Off"), and finally with both devices turned off ("Off-Off"). The On-On condition was presented first during each test session because it provided an everyday listening context participants were accustomed to, and consequently confident with. The third condition was omitted if a patient's pure tone average threshold was above the stimulus level used for the test in the frequency range [0.5-4] kHz. Depending on this threshold, nine Bi HA listeners attended also the Off-Off condition. Two Bi HA listeners were unable to attend the On-Off test condition either, since their session had to be stopped as early as they reported annoyance or fatigue to the experimenter. Children were affected by non-syndromic hearing loss ("GEN NO SDR") in 8 cases (6 GJB2 gene mutations, 2 other gene mutations), syndromic hearing loss ("SDR") in 4 (2 Usher syndromes, 1 chromosomal instability, 1 Waardenburg syndrome), and 1 enlarged vestibular aqueduct (inner ear malformation, "IEM"). Other causes of hearing loss ("Other") were congenital cytomegalovirus infection in 2 cases, chemotherapy with platinum derivatives for neuroblastoma in 2, preterm delivery in 1, and prolonged neonatal intensive care unit stay in 1 case. The cause was not identified ("ND") in 3 cases. All participants were right-handed and had no diagnosis of motor impairment. Reported are: the participant's anonymous id ("Participant"), the age ("Age"), the cause of hearing impairment ("MacroCause"), the years of experience with each device ("Experience DX", "Experience SX"), the left and right pure-tone individual hearing thresholds at 500 Hz, 1000 Hz, 2000 Hz, and 4000 Hz, without and with devices ("Threshold w/o 500 DX" is the right threshold at 500 Hz without devices, and the others are named accordingly), the group ("Group", an example is "Bi CI On-Off" identifying the group of listeners with two cochlear implants, one turned on and the other turned off, and the others are named accordingly), the test condition ("Condition", an example is "NOICSX_ICDX", identifying the listening condition with the left cochlear implant turned off and the right cochlear implant turned on, and the others are named accordingly), the target ("Target", angle in sexagesimal degrees), the signed error ("Signed_error", the difference between the target angle and the pointed angle in sexagesimal degrees), the unsigned error ("Unsigned_error", the absolute difference between the target angle and the pointed angle in sexagesimal degrees), the difference between the target and head orientation angle in the moment when the target was hit ("Head_rotation", in sexagesimal degrees), the head covered distance during a single trial ("Head_distance", in meters). Here are presented only sessions including the complete set of 65 trials, except seven sessions attended by Bi-CI listeners, each missing one trial (six in the On-Off condition and one in the On-On condition) that was not recorded due to a technical problem.</p>
Market Analysis for the creation of an NGO for professional qualification of People with Hearing Impairment
<p>The data set is part of the TCC of the MBA course at USP - University of São Paulo. This paper studied the creation of an NGO to train people with hearing impairments. The research was carried out with people with hearing impairment in the city of Londrina, in the state of Paraná, Brazil.<br> Participants were asked about their degree of deafness, educational context and their knowledge of the main skills that are being sought by employers nowadays; such skills were based on the Future of Jobs 2023 report, published by the World Economic Forum in May, 2023.</p>
Selective auditory attention in normal-hearing and hearing-impaired listeners
<p>This repository contains the EEG and behavioral data described in:</p> <p>Fuglsang, S A, Märcher-Rørsted, J, Dau, T, Hjortkjær, J (2020). Effects of sensorineural hearing loss on cortical synchronization to competing speech during selective attention. Journal of Neuroscience, 40(12):2562–2572, <a href="https://doi.org/10.1523/JNEUROSCI.1936-19.2020">https://doi.org/10.1523/JNEUROSCI.1936-19.2020</a> </p> <p>Please cite this paper when using the data</p> <p>The data set consists of response data for 22 hearing-impaired and 22 normal-hearing participants. It includes:<br> - EEG data: responses to two-talker and single-talker speech stimuli<br> - Envelopes of the corresponding speech audio<br> - EEG data: responses to 1 kHz tone beeps for ERPs<br> - EEG data: responses to periodic tone sequences for Envelope-following responses (EFRs)<br> - EEG resting-state data recorded with eyes-open and eyes-closed<br> - inEar EEG data for 19 of the 44 subjects (EEG recorded inside the ear canals)<br> - Behavioral data: speech comprehension scores, task difficulty ratings, speech-in-noise scores (SRTs), tone-in-noise scores, digit span working memory scores, SSQ questionnaire ratings<br> - Pure-tone audiograms</p> <p>For more information, see the README and 'dataset_description.json' file.</p> <p><br> Format<br> ------<br> The dataset is formatted according to BIDS version 1.3.0 and the BIDS standard extension for EEG (BEP006) that has been merged in the main body of the specification. For more details, see https://bids-specification.readthedocs.io/en/latest/06-extensions.html</p> <p>Behavioural data are stored in the 'participants.tsv' file. Task-difficulty ratings and multiple choice questionnaire data from the selective attention experiment are stored in the events files (see 'task-selectiveattention_events.json'). </p> <p> </p> <p>Code<br> ------<br> Code for analyzing the data is available at: https://gitlab.com/sfugl/snhl</p> <p> </p> <p>Audio<br> ------<br> Envelopes of the audio signals are included in the data set. For inquiries regarding the raw audio data, please send an email to jensh@drcmr.dk with the subject line "ds-eeg-snhl audio".</p> <p> </p> <p>Acknowledgments<br> ----------<br> This work was supported by the EU H2020-ICT grant number 644732 (COCOHA: Cognitive Control of a Hearing Aid) and by the Novo Nordisk Foundation synergy grant NNF17OC0027872 (UHeal). The EarEEG were kindly provided by Eriksholm Research Centre.</p>
Dataset, test programs and analysis scripts for the related paper "Effects of reverberation on speech intelligibility in noise for hearing-impaired listeners"
<p>This dataset contains the data, test programs and analyses scripts used for a study submitted as a stage 2 registered report for Royal Society Open Science.</p>
The EmoHI Test stimuli: Measuring vocal emotion recognition in hearing-impaired populations
<p>Before reading this file, make sure you have read the <strong>README.1.pdf</strong> file. That file also contains information about the <strong>license</strong> these materials are distributed under.</p> <p><em><strong>Versions</strong></em></p> <ul> <li><strong>Version 2</strong>: This is the current version. To cite this version specifically, use DOI 10.5281/zenodo.7997063. In this version we fixed some naming mistakes in the files (in 8 of the files the sentence was identified as <code>t2</code> instead of <code>s2</code>), and added two missing stimuli (<code>t5_neutral_t2_u04.wav</code> and <code>t5_sad_t1_u05.wav</code>).</li> <li><strong>Version 1</strong>: This was the initial version. To cite that version specifically, use DOI 10.5281/zenodo.3689710.</li> </ul> <p>The latest version of the EmoHI material can be downloaded from <a href="https://doi.org/10.5281/zenodo.3689709">https://doi.org/10.5281/zenodo.3689709</a>. Please always check that you have the latest version, and that you comply with the current license requirements.</p> <p><em><strong>The EmoHI Test</strong></em></p> <p>The EmoHI Test was developed to measure the accuracy at which participants can recognize vocal emotions based on pseudospeech sentences that were produced in a happy, angry sad, or neutral manner. The EmoHI Test recordings are particularly suitable for testing hearing-impaired populations due to their high sound quality. All recordings, including the ones that were used in Nagels <em>et al.</em> (2020, <em>PeerJ</em>, <a href="https://doi.org/10.7717/peerj.8773">doi: 10.7717/peerj.8773</a>), are made available here.</p> <p>The stimuli were recorded in an anechoic room at a sampling rate of 44.1 kHz. The microphone was placed at a distance of approximately 30 cm (12 in) from the speaker. The recordings were made by connecting a standing Røde NT1 microphone to a Presonus TubePre V2 preamplifier and a TASCAM DR-100 portable digital recorder. The gain of the recordings was adjusted for each emotion production using the preamplifier to record the stimuli at an intensity level that was approximately the same across emotions to reduce large intensity differences between the recordings of different emotions. The files are not RMS equalized.</p> <p><em><strong>Citation</strong></em></p> <p>When using this repository in your research, please cite the repository itself. For this version:</p> <blockquote> <p>Nagels L., Gaudrain E., Hendriks P., & Başkent D. (2023, June 2). The EmoHI Test stimuli: Measuring vocal emotion recognition in hearing-impaired populations. Version 2. <em>Zenodo</em>. <a href="https://doi.org/10.5281/zenodo.7997063">https://doi.org/10.5281/zenodo.7997063</a></p> </blockquote> <p>Also cite the PeerJ article that describes the material:</p> <blockquote> <p>Nagels L., Gaudrain E., Vickers D., Matos Lopes M., Hendriks P., Başkent D. (2020). Development of vocal emotion recognition in school-age children: The EmoHI test for hearing-impaired populations. <em>PeerJ</em> 8:e8773 <a href="https://doi.org/10.7717/peerj.8773">https://doi.org/10.7717/peerj.8773</a></p> </blockquote> <p><em><strong>Sound file name structure</strong></em></p> <p>The sound files are named using the following convention:</p> <p><code>t[1-6]_{emotion}_s{1,2}_u[01-18].wav</code></p> <ul> <li><code>t[1-6]</code> represents the <strong>talker</strong> who produced the stimulus: <code>t1</code>, <code>t2</code>, <code>t3</code>, <code>t4</code>, <code>t5</code>, or <code>t6</code></li> <li><code>{emotion}</code> is the label of the <strong>emotion</strong> that was produced: <code>neutral</code>, <code>happy</code>, <code>angry</code>, or <code>sad</code></li> <li><code>s{1,2}</code> is the <strong>pseudospeech sentence</strong> that was used: <code>s1</code> for "Koun se mina lod belam." <code>s2</code> for "Nekal ibam soud molen."</li> <li><code>u[01-18]</code> is the <strong>utterance</strong> number: Number ranging from <code>u01</code> to <code>u18</code></li> </ul> <p>For instance, <code>t1_happy_s2_u01.wav</code> is utterance 1 of talker <code>t1</code> producing emotion "happy" using sentence 2.</p> <p><em><strong>Talker demographic information</strong></em></p> <p>The table below gives an overview of the voice characteristics from the talkers who produced the EmoHI test stimuli.</p> <table> <thead> <tr> <th scope="col">Talker</th> <th scope="col">Age (years)</th> <th scope="col">Gender</th> <th scope="col">Height (m)</th> <th scope="col">Mean F0 (Hz)</th> <th scope="col">F0 range (Hz)</th> </tr> </thead> <tbody> <tr> <td>t1</td> <td>48</td> <td>f</td> <td>1.72</td> <td>253.14</td> <td>179.97 – 421.81</td> </tr> <tr> <td>t2</td> <td>36</td> <td>f</td> <td>1.68</td> <td>302.23</td> <td>200.71 – 437.38</td> </tr> <tr> <td>t3</td> <td>27</td> <td>m</td> <td>1.85</td> <td>166.92</td> <td>100.99 – 296.47</td> </tr> <tr> <td>t4</td> <td>45</td> <td>m</td> <td>1.90</td> <td>149.41</td> <td>96.97 – 274.72</td> </tr> <tr> <td>t5</td> <td>25</td> <td>f</td> <td>1.63</td> <td>282.89</td> <td>199.49 – 429.38</td> </tr> <tr> <td>t6</td> <td>24</td> <td>m</td> <td>1.75</td> <td>167.76</td> <td>87.46 – 285.79</td> </tr> </tbody> </table> <p><em><strong>Supporting data</strong></em></p> <p>The behavioural data from the PeerJ article is accessible at <a href="https://doi.org/10.34894/BDMX6D">https://doi.org/10.34894/BDMX6D</a>.</p>
"Core Stabilization Exercises in Hearing Impaired Children"
ClinicalTrials.gov study NCT03487757. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Effects of Maze Balance Board Training on Balance in Children With Hearing Impairment.
ClinicalTrials.gov study NCT06461520. IPD Sharing: NO. Countries: 1. Publications: 3.
Listening Benefits From a Hearing-aid App, a Personal Sound Amplification Product, and a Hearing Aid in Hearing-impaired Listeners
ClinicalTrials.gov study NCT05644106. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Internet-based Pre-fitting Counseling of Persons With Hearing Impairment
ClinicalTrials.gov study NCT01611129. IPD Sharing: Not stated. Countries: 2. Publications: 2.
Comparative Study of Inclined Treadmill and Dynamic Cycling on Balace in Hearing Impaired Children.
ClinicalTrials.gov study NCT06673836. IPD Sharing: NO. Countries: 1. Publications: 1.
Functioning, Disability, and Quality of Life in the Adult Hearing Impaired
ClinicalTrials.gov study NCT00037986. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Virtual Reality Glasses Integrated With Sign Language on Dental Anxiety Among Children With Hearing Impairment During Pulpotomy Procedure
ClinicalTrials.gov study NCT06153823. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Hearing Impairment as a Risk Factor for Dementia in Older Adults
ClinicalTrials.gov study NCT04284384. IPD Sharing: NO. Countries: 1. Publications: 3.
Validation of uHear™ as a Screening Tool to Detect Hearing Impairment in Elderly Cancer Patients Within a Comprehensive Geriatric Assessment
ClinicalTrials.gov study NCT02381782. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Improving Early Intervention in Hearing Impaired Children Using Functional Near-Infrared Spectroscopy (fNIRS)
ClinicalTrials.gov study NCT05847426. IPD Sharing: YES. Countries: 1. Publications: 6.
Adaptation of a Rehabilitation Program for Prosody and Its Application on Egyptian Hearing Impaired Children
ClinicalTrials.gov study NCT04691830. IPD Sharing: NO. Countries: 1. Publications: 1.
Study of a Signal-processing Algorithm Aiming at Improving Speech-in-noise Intelligibility in Normal-hearing and Hearing-impaired Persons
ClinicalTrials.gov study NCT04775810. IPD Sharing: NO. Countries: 1. Publications: 17.
Inter Disciplinary Approach to Vocabulary Development in Hearing Impairment
ClinicalTrials.gov study NCT04962828. IPD Sharing: NO. Countries: 1. Publications: 6.
Do Bluetooth Noise Cancelling Headphones Improve the Quality of Care in Hearing Impaired Patients?
ClinicalTrials.gov study NCT05420038. IPD Sharing: NO. Countries: 1. Publications: 7.
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.