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The timing database: An open-access, live repository for interval timing studies.

Turaç Aydoğan1, Hakan Karşılar2, Yalçın Akın Duyan3

  • 1Department of Biological Sciences, University of Manitoba, Winnipeg, Canada.

Behavior Research Methods
|January 3, 2023
PubMed
Summary
This summary is machine-generated.

The Timing Database centralizes interval timing research data, enabling broader analysis of temporal perception. This open-source resource aims to advance our understanding of how humans perceive time across various tasks and conditions.

Keywords:
Big dataExperimental psychologyInterval timingSecondary analysisTime perception

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Behavioral Science

Background:

  • Current interval timing research relies on small, isolated studies, limiting generalizability.
  • Existing studies often use single tasks and small sample sizes, hindering comprehensive understanding.
  • A need exists for accessible, standardized data to facilitate large-scale analysis of interval timing.

Purpose of the Study:

  • To introduce the Timing Database, a live, open-source repository for interval timing research data.
  • To provide an online interface for accessing, compiling, and downloading diverse datasets.
  • To promote novel analyses of temporal perception by consolidating data from multiple studies and tasks.

Main Methods:

  • Compilation of 68 datasets from eight distinct interval timing tasks.
  • Development of an online graphical user interface for data selection and retrieval.
  • Organization of raw data into a standardized format for accessibility.

Main Results:

  • The database currently houses data from various interval and temporal order judgment tasks.
  • Demonstration of database utility by analyzing temporal accuracy, scalar property, and timing precision across studies.
  • Establishment of a framework for integrating future interval timing datasets.

Conclusions:

  • The Timing Database offers a valuable resource for the research community to explore interval timing.
  • Centralized, open-source data will foster more robust and generalizable findings in temporal cognition.
  • The database is intended to be a continuously growing repository for interval timing research.