# ERPscanr Project The `ERPscanr` project is a semi-automated meta-analysis, using text mining, of the ERP literature. For further details on the project, see the project website and/or repository. Project links: - website: https://erpscanr.github.io/ - repository: https://github.com/ERPscanr/ERPscanr Literature data for this project was collected using the [lisc](https://github.com/lisc-tools/lisc) Python module. This page hosts data files collected in the ERPscanr data, reflecting the full set of 'raw' data for the project. Data is available in a zip folder, and contains sub-folders for 'count' (co-occurrence) and 'words' (article text & metadata) data. A short README describes the available data files. These data files should be reloaded with [lisc](https://github.com/lisc-tools/lisc). See the project repository for examples. All code for this project is openly available in the project repository. Changelog: - the current data collection is from May, 2021