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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Data for "Speech-in-noise discriminability after noise exposure: Insights from a gerbil model of acoustic trauma"

Authors: Jüchter, Carolin; Beutelmann, Rainer; Bovee, Sonny; Bleckmann, Katja; Klump, Georg;

Data for "Speech-in-noise discriminability after noise exposure: Insights from a gerbil model of acoustic trauma"

Abstract

The data is described and published in the paper "Speech-in-noise discriminability after noise exposure: Insights from a gerbil model of acoustic trauma" by Jüchter et al. (2025). The files contain response latencies, hit rates, false alarm rates and d'-values for the discrimination of different types of speech sounds measured in behavioral experiments with Mongolian gerbils before and after they were exposed to an acoustic trauma. Additionally, thresholds, amplitudes, latencies and slopes from auditory brainstem response (ABR) measurements and synapse counts from inner hair cells are included in the data set.

Keywords

Vowel, Hearing Loss, Noise-Induced, Speech-in-Noise Perception, Behavioral Testing, Consonant, Animal Psychophysics, Acoustic Trauma, Mongolian Gerbil

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average