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Share, discover, and cite research data from Arizona State University.

The ASU Research Data Repository is a platform for ASU-affiliated researchers to share, preserve, and publish research data in a way that ensures long-term accessibility, usability, and citation. Our team supports researchers in preparing high-quality, well-documented datasets that comply with funder and publisher data sharing requirements.

Curated by ASU Library data professionals, the repository enables global discovery of research data through permanent digital identifiers (DOIs). It is powered by the open-source Dataverse application developed by Harvard University and complements the KEEP Institutional Repository to support the full range of ASU research outputs.

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21 to 30 of 12,640 Results
Waveform Audio - 50.9 MB - MD5: e7e86e27bc8a14e1fc5c7671750b700e
Data
Matches created by normal-hearing listeners when an implant-like, distorted signal is directed to one ear (the target) and a clean signal is directed to the other ear.
Waveform Audio - 13.0 MB - MD5: 86cf4f4898ae022f80ef3d8aa25328d5
Data
Matches rated as 9.5 or higher by patients fit with a shorter electrode array
Waveform Audio - 20.2 MB - MD5: ba504db7942169fc06a574571a3c2e73
Data
Matches created by turning off electrodes 1 and 2 (most apical electrodes) and creating a functionally shorter electrode array
Waveform Audio - 19.8 MB - MD5: 312a94ec8a42f69cd887e1582c6648da
Data
Matches by patients with residual, low-frequency acoustic hearing in their implanted ear.
Waveform Audio - 20.6 MB - MD5: 437fc44e0f0d3da7af82a25219096e43
Data
Matches to speech and to instrumental/vocal music by a musically trained listener
Plain Text - 4.8 KB - MD5: 299717b2e8122559007b39bbc7a9660f
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