PDP H Data: Non-Verbal Process Dissociation Procedure for Sequence Learning

Data and analysis scripts supporting a 2026 study on disentangling explicit from implicit sequence learning. The dataset includes CSV and Excel files, an R script, and a data dictionary, totaling 9.1 MB. Raphaëlle Malassis authored the dataset, which is licensed under CC-BY-4.0.

Use Cases

• Replicate the non-verbal Process Dissociation Procedure analysis based on the described experimental data.
• Benchmark models of implicit versus explicit learning based on the sequence learning task.
• Analyze behavioral response patterns from a cognitive psychology experiment.

Strengths

• Includes annotated R script and data dictionary for reproducibility.
• Files are provided in multiple formats (CSV, XLSX, RMD) for accessibility.
• Dataset is licensed under the permissive CC-BY-4.0 license.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

figshare

Collection Method

Data collected for the study 'A non-verbal Process Dissociation Procedure to disentangle explicit from implicit sequence learning'.

Time Range

Associated with a 2026 publication.

Freshness

Last updated 2026-05-07 18:03:24; freshness should be verified.

Geography

Geography is not specified in the provided metadata.