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metadata language: German

Data from the paper: Social and emotional relevance in face processing: Happy faces of future interaction partners enhance the LPP.

Version
1
Resource Type
Dataset
Creator
  • Bublatzky, Florian
  • Gerdes, Antje B. M.
  • White, Andrew J.
  • Riemer, Martin
  • Alpers, Georg W.
Publication Date
2017
Language
English
Free Keywords
face processing, social interaction, emotion, anticipation, ERP
Description
  • Abstract

Data and File Information
  • Unit Type: Other
    Number of Units: 1
    • File Name: 1_readme.txt
      File Format: text/plain
      File Size: 997
      Data Fingerprint: 31b8dc8a8d839cd2c538d5c6387a8711
      Method Fingerprint: MD5
  • Unit Type: Other
    Number of Units: 1
    • File Name: 2_Methods.rar
      File Format: application/x-rar
      File Size: 13429286
      Data Fingerprint: 1a251ffc74ca8424d3e655a36581b3a5
      Method Fingerprint: MD5
  • Unit Type: Other
    Number of Units: 1
    • File Name: 3_Data.rar
      File Format: application/x-rar
      File Size: 2474010370
      Data Fingerprint: c2b01f3508c57402ac9292a1385f39f4
      Method Fingerprint: MD5
  • Unit Type: Other
    Number of Units: 1
    • File Name: 4_Bublatzky_etal2014_Social and emotional relevance in face processing_FrontiersHumanNeuroscience.pdf
      File Format: application/pdf
      File Size: 1137994
      Data Fingerprint: a140aa6414d08a4ef8904ac14a415fd1
      Method Fingerprint: MD5
Availability
Delivery
send a request to f.bublatzky@gmail.com or alpers@uni-mannheim.de

Update Metadata: 2019-01-15 | Issue Number: 7 | Registration Date: 2019-01-15

Bublatzky, Florian; Gerdes, Antje B. M.; White, Andrew J.; Riemer, Martin; Alpers, Georg W. (2017): Data from the paper: Social and emotional relevance in face processing: Happy faces of future interaction partners enhance the LPP.. Version: 1. Mannheim University Library. Dataset. https://doi.org/10.7801/222