# Metadata for DOI registration according to DataCite Metadata Schema 4.1. # For detailed schema description see https://doi.org/10.5438/0014 ## Required fields # The main researchers involved. Include digital identifier (e.g., ORCID) # if possible, including the prefix to indicate its type. authors: - firstname: "Cemre" lastname: "Baykan" affiliation: "Department of Psychology, Ludwig-Maximilians-Universität München, Munich, Germany" - firstname: "Xiuna" lastname: "Zhu" affiliation: "Department of Psychology, Ludwig-Maximilians-Universität München, Munich, Germany" - firstname: "Artyom" lastname: "Zinchenko" affiliation: "Department of Psychology, Ludwig-Maximilians-Universität München, Munich, Germany" - firstname: "Hermann J." lastname: "Müller" affiliation: "Department of Psychology, Ludwig-Maximilians-Universität München, Munich, Germany" - firstname: "Zhuanghua" lastname: "Shi" affiliation: "Department of Psychology, Ludwig-Maximilians-Universität München, Munich, Germany" # A title to describe the published resource. title: "Dataset of Electrophysiological signatures of temporal context in the bisection task" # Additional information about the resource, e.g., a brief abstract. description: | Data and codes for the study of temporal context signatures in EEG # Lit of keywords the resource should be associated with. # Give as many keywords as possible, to make the resource findable. keywords: - time perception - EEG - temporal bisection - CNV - P2 - LPCt # License information for this resource. Please provide the license name and/or a link to the license. # Please add also a corresponding LICENSE file to the repository. license: name: "Creative Commons CC0 1.0 Public Domain Dedication" url: "https://creativecommons.org/publicdomain/zero/1.0/" ## Optional Fields # Funding information for this resource. # Separate funder name and grant number by comma. funding: - "DFG, SH166/3-2" - "DAAD, 57440921" # Related publications. reftype might be: IsSupplementTo, IsDescribedBy, IsReferencedBy. # Please provide digital identifier (e.g., DOI) if possible. # Add a prefix to the ID, separated by a colon, to indicate the source. # Supported sources are: DOI, arXiv, PMID # In the citation field, please provide the full reference, including title, authors, journal etc. # Resource type. Default is Dataset, other possible values are Software, DataPaper, Image, Text. resourcetype: Dataset # Do not edit or remove the following line templateversion: 1.2