Published May 2, 2023 | Version v1
Dataset Restricted

Cross-modal interactions at the audiovisual cocktail-party revealed by behavior, ERPs, and neural oscillations

Description

This repository contains the raw EEG data sets associated with the following publication:

Klatt, L. I., Begau, A., Schneider, D., Wascher, E., & Getzmann, S. (2023). Cross-modal interactions at the audiovisual cocktail-party revealed by behavior, ERPs, and neural oscillations. NeuroImage, 271, 120022. https://doi.org/10.1016/j.neuroimage.2023.120022

The associated OSF repository, containing the aggregated behavioral and EEG data files (e.g., mean RTs, mean N2ac amplitudes, mean N2pc amplitudes) as well as analysis scripts and JASP files can be found here: https://osf.io/asx5v/

Please see the README file in the OSF repository for further information regarding the shared datasets (e.g., the difference between "coded" and "coded_wo_doubleAK" datasets). The data are shared under the following licence: CC BY-NC-SA 4.0 (https://creativecommons.org/licenses/by-nc-sa/4.0/). 

To obtain access to this Zenodo repository, a data user agreement must be signed.

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If you would like to request access to these files, please fill out the form below.

You need to satisfy these conditions in order for this request to be accepted:

To be granted access to this repository, please sign the following data user agreement:

I request access to the data collected in the digital repository of the ergonomics department, part of the Leibniz Research Centre for Working Environment and Human Factors, established at Dortmund, Germany (hereinafter referred to as the IfADo).

By accepting this agreement, I become the data controller (as defined under the GDPR) of the data that I have access to, and am responsible that I access these data under the following terms:

  1. I will comply with all relevant rules and regulations imposed by my institution and my government. This agreement never has prevalence over existing general data protection regulations that are applicable in my country.
  2. I will not attempt to establish or retrieve the identity of the study participants. I will not link these data to any other database in a way that could provide identifying information. I shall not request the key that would link these data to an individual’s personal information, nor will I accept any additional information about individual participants under this Data Use Agreement.
  3. I will not redistribute these data or share access to these data with others, unless they have independently applied and been granted access to these data, i.e., signed this Data Use Agreement. This includes individuals in my institution.
  4. When sharing secondary or derivative data (e.g. group statistical maps or templates), I will only do so if they are on a group level, and cannot be deduced information from individual participants.
  5. I will reference the specific source of the accessed data when publicly presenting any results or algorithms that benefited from their use: (a) Papers, book chapters, books, posters, oral presentations, and all other presentations of results derived from the data should acknowledge the origin of the data as follows: “Data were provided (in part) by the Ergonomics department of the Leibniz Research Centre for Working Environment and Human Factors in Dortmund, Germany”. (b) Authors of publications or presentations using the data should cite relevant publications describing the methods developed and used by the Ergonomics Department of the IfADo to acquire and process the data. The specific publications that are appropriate to cite in any given study will depend on what the data were used and for what purposes (please see https://osf.io/asx5v/ for the associated published manuscript). When applicable, a list of publications will be included in the collection. (c) Neither the ergonomics department or the IfADo, nor the researchers that provide this data will be liable for any results and/or derived data. They shall not be included as an author of publications or presentations without consent.
  6. I will re-use these data for scientific (non-commercial) purposes only.
  7. Failure to abide by these guidelines will result in termination of my privileges to access these data.

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Additional details

Related works

Is supplement to
Dataset: 10.17605/OSF.IO/ASX5V (DOI)
Journal article: 10.1016/j.neuroimage.2023.120022 (DOI)