research data . Dataset . 2019

Data from "Auditory tests for characterizing hearing deficits: The BEAR test battery"

Sanchez-Lopez, Raul; Nielsen, Silje Grini; El-Haj-Ali, Mouhamad; Bianchi, Federica; Fereczkowski, Michal; Cañete, Oscar; Wu, Mengfan; Neher, Tobias; Dau, Torsten; Sébastien Santurette;
Open Access English
  • Published: 18 Dec 2019
  • Publisher: Zenodo
Abstract
<p>This repository contains raw and processed data used and described in:</p> <p><strong>R. Sanchez-Lopez, S.G. Nielsen, M. El-Haj-Ali, F. Bianchi, M, Fereckzowski, O. Ca&ntilde;ete, M. Wu, T. Neher, T. Dau and S. Santurette (under review). ``Auditory tests for characterizing hearing deficits: The BEAR test battery,&#39;&#39; Int. J. of Audiology.<br> <br> [Preprint available in medRxiv: </strong><a href="https://doi.org/10.1101/2020.02.17.20021949"> https://doi.org/10.1101/2020.02.17.20021949</a><strong>]</strong></p> <p>One aim of the Better hEAring Rehabilitation (BEAR) project is to define a new clinical profiling tool, a test-battery, for individualized hea...
Subjects
free text keywords: Hearing deficits, Audiology, Data-driven, Hearing loss, Auditory signal processing, Medicine, Genetics, Evolutionary Biology, Sociology, Science Policy, 110309 Infectious Diseases
Communities
Science and Innovation Policy Studies
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Dataset . 2019
Provider: Datacite
Zenodo
Dataset . 2019
Provider: Datacite
Zenodo
Dataset . 2019
Provider: Zenodo
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Dataset . 2019
Provider: figshare
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