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Updated: Aug 18, 2025
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Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach
Published on: February 14, 2014
13.8K
A massive dataset of the NeuroCognitive Performance Test, a web-based cognitive assessment.
Paul I Jaffe1,2, Aaron Kaluszka3, Nicole F Ng3
1Lumos Labs, Inc., San Francisco, CA, 94108, USA. paul.jaffe@lumoslabs.com.
Scientific Data
|December 9, 2022
Summary
This study introduces a large dataset of over 750,000 adults
Area of Science:
- Cognitive Neuroscience
- Psychometrics
- Big Data Analytics
Background:
- Cognitive assessment is crucial for understanding brain function.
- Large-scale datasets are needed to explore population-level cognitive variability.
- Existing cognitive test data may lack diversity or scale for comprehensive analysis.
Purpose of the Study:
- To release a large, diverse dataset of cognitive performance scores.
- To enable research on population-level cognitive abilities and demographic correlations.
- To provide tools for easy data preprocessing and analysis.
Main Methods:
- Collected approximately 5.5 million subtest scores from over 750,000 adults.
- Utilized the NeuroCognitive Performance Test (NCPT), a web-based, self-administered cognitive assessment.
- Included demographic data (age, gender, education) alongside cognitive scores across multiple domains.
Main Results:
- A comprehensive dataset spanning working memory, visual attention, and abstract reasoning.
- Rich demographic information linked to cognitive performance.
- A Python module for common data preprocessing tasks is available.
Conclusions:
- The NCPT dataset offers a unique resource for cognitive research.
- Facilitates investigation into cognitive variability and demographic influences.
- Promotes reproducible research through accessible data and tools.
