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

Turac Aydogan, Hakan Karsilar, Yalcin Akin Duyan, Basak Akdogan, Alessia Baccarani, Renaud Brochard, Benjamin De Corte, Jonathon D. Crystal, Bilgehan Cavdaroglu, Charles Randy Gallistel, Simon Grondin, Ezgi Gur, Quentin Hallez, Joost de Jong, Leendert van Maanen, Matthew Matell, Nandakumar S. Narayanan, Ezgi Ozoglu, Tutku Oztel, Argiro VatakisDavid Freestone, Fuat Balci*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Interval timing refers to the ability to perceive and remember intervals in the seconds to minutes range. Our contemporary understanding of interval timing is derived from relatively small-scale, isolated studies that investigate a limited range of intervals with a small sample size, usually based on a single task. Consequently, the conclusions drawn from individual studies are not readily generalizable to other tasks, conditions, and task parameters. The current paper presents a live database that presents raw data from interval timing studies (currently composed of 68 datasets from eight different tasks incorporating various interval and temporal order judgments) with an online graphical user interface to easily select, compile, and download the data organized in a standard format. The Timing Database aims to promote and cultivate key and novel analyses of our timing ability by making published and future datasets accessible as open-source resources for the entire research community. In the current paper, we showcase the use of the database by testing various core ideas based on data compiled across studies (i.e., temporal accuracy, scalar property, location of the point of subjective equality, malleability of timing precision). The Timing Database will serve as the repository for interval timing studies through the submission of new datasets.
Original languageEnglish
Pages (from-to)290–300
Number of pages11
JournalBehavior Research Methods
Volume56
Issue number1
Early online date3 Jan 2023
DOIs
Publication statusPublished - 2024

Bibliographical note

Publisher Copyright:
© 2022, The Psychonomic Society, Inc.

Funding

This work is funded by NSERC Discovery Grant, RGPIN/3334-2021 to FB

FundersFunder number
Natural Sciences and Engineering Research Council of CanadaRGPIN/3334-2021

    Keywords

    • Big data
    • Experimental psychology
    • Interval timing
    • Secondary analysis
    • Time perception

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