none 10.20944/preprints201608.0191.v1 MDPI AG MDPI AG 1968 84841499 2187008 20191106063940 10.20944 2019-11-06T05:43:09Z 2016-08-25T09:10:05Z 0 BEHAVIORAL SCIENCES Chris H. J. Hartgerink http://orcid.org/0000-0003-1050-6809 08 23 2016 08 22 2016 In this data deposit, I describe a dataset that is the result of content mining 167,318 published articles for statistical test results. As a result of this content mining, 688,112 results from 50,845 articles were extracted. In order to provide a comprehensive set of data, the statistical results are supplemented with metadata from the article they originate from. The dataset is provided in a comma separated file (CSV) in long-format. For each of the 688,112 results, 20 variables are included, of which seven are article metadata and 13 pertain to the individual statistical results (e.g., reported and recalculated p-value). A five-pronged approach was taken to generate the dataset: (i) collect journal lists, (ii) spider journal pages for articles, (iii) download articles, (iv) add article metadata, and (v) mine articles for statistical results. http://creativecommons.org/licenses/by/4.0 10.3390/data1030014 10.20944/preprints201608.0191.v1 https://www.preprints.org/manuscript/201608.0191/v1