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RESOURCES
For many years now, we’ve been sharing useful resources and media stories related to our research projects. As a leading Science Laboratory in the San Francisco area, it’s important for us to engage with the community and keep them informed about the incredible work and developments they’re helping to support.
RESOURCES
For many years now, we’ve been sharing useful resources and media stories related to our research projects. As a leading Science Laboratory in the San Francisco area, it’s important for us to engage with the community and keep them informed about the incredible work and developments they’re helping to support.
Open data
The lab is committed to data sharing and providing other researchers with the opportunity to explore new research questions and avenues using our data. Below you find links to EEG, eye-tracking, pupillometry, and other datasets under a Creative Commons license. We continue to add new datasets when the lab publishes new work.
Please cite our work if you use one of our datasets. We also encourage you to reach out to the corresponding and/or senior author and to consider involving them in your project. This may help you get additional insights about the data that may not be detailed in the paper, and it values our contribution, in line with common authorship contributions, for example, Nature's statement: "Each author is expected to have made substantial contributions to the conception or design of the work; or the acquisition, ..."
Pupil-size and eye-movement data during listening and different levels of motivation
​Description: Pupil-size and eye-movement data from younger adults who listened to noise sounds and performed a gap detection task. Gap detection was either easy or difficult and
Link: download data
Reference: Kraus F, Obleser J, Herrmann B (2023) Pupil size sensitivity to listening demand depends on motivational state. eNeuro 10:ENEURO.0288-23.2023.
EEG data from younger adults performing an audio-visual dual or single task
​Description: 64-channel EEG data from two sessions in which participants performed an auditory-gap detection task and concurrently (dual task) or independently (single task) performed a multiple-object tracking task.
Link: download data
Reference: Kraus F, Tune S, Obleser J, Herrmann B (2023) Neural alpha oscillations and pupil size differentially index cognitive demand under competing audio-visual task conditions. The Journal of Neuroscience 43:4352-4364.
Eye-movement and pupillometry data from younger adults listening to speech
​Description: Eye-link eye-tracking and pupillometry recordings for three experiments. In the experiments, participants listened to sentence or stories under varying degrees of background masking and different visual screen displays.
Link: download data
Reference: Cui ME, Herrmann B (2023) Eye movements decrease during effortful speech listening. The Journal of Neuroscience.
Speech-intelligibility data from younger and older adults listening to masked speech.
​Description: Intelligibility data for three experiments in younger and older adults listening to speech masked by different degrees of background sound and maskers with different envelope shapes. In one experiment, participants listened to disconnected sentences. In two other experiments, they listened to spoken stories.
Link: download data
Reference: Irsik VC, Johnsrude IS, Herrmann B (2022) Age-related deficits in dip-listening evident for isolated sentences but not for spoken stories. Scientific Reports 12:5898.
Intelligibility data from younger and older adults listening to AI synthesized speech.
​Description: Intelligibility data for three experiments in younger and older adults listening to speech masked by different degrees of background sound and maskers with different envelope shapes. Participants listened either to speech spoken by a human or to speech generated using modern AI speech synthesizers.
Link: download data
Reference: Herrmann B (2023) The perception of artificial-intelligence (AI) based synthesized speech in younger and older adults. Int J Speech Tech. 26:395-415.
MEG data from younger and older adults listening to sounds with regular patterns
​Description: 306-channel Neuromag MEG. Younger and older adults listened to sounds that contained a regular pattern and sounds without a pattern. The data set comprises raw data and related information.
Link: download data
Reference: Herrmann B, Maess B, Johnsrude IS (2022) A neural signature of regularity in sound is reduced in older adults. Neurobiology of Aging 109:1-10.
EEG data from younger and older adults listening to amplitude-modulated sounds
​Description: 16-channel Biosemi EEG data. Younger and older adults listened to 4-Hz amplitude-modulated sounds with different envelope shapes. The data set comprises raw data and related information.
Link: download data
Reference: Irsik V, Almanaseer A, Johnsrude IS, Herrmann B (2021) Cortical responses to the amplitude envelopes of sounds change with age. The Journal of Neuroscience 41:5045-5055.
EEG data from five experiments on perceptual learning of auditory patterns
​Description: 16-channel Biosemi EEG data from five experiments and behavioral data from one experiment. Participants listened to sounds containing auditory patterns that either repeated or were novel. The data set comprises raw data and related information.
Link: download data
Reference: Herrmann B, Araz K, Johnsrude IS (2021) Sustained neural activity correlates with rapid perceptual learning of auditory patterns. NeuroImage 238:118238.
Eye-tracking & pupillometry during sentence listening
​Description: Eye-link 1000 data from participants listening to sentences with low- and high-ambiguity words presented under different acoustic degradation conditions.
Link: download data
Reference: Kadem M, Herrmann B, Rodd JM, Johnsrude IS (2020) Pupil dilation is sensitive to semantic ambiguity and acoustic degradation. Trends in Hearing 24:1-16.
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