Dataset: Digital impact of 100-point wine ratings in Spain (Google Trends and News data)

This dataset provides structured data on the digital impact of wines awarded 100-point ratings by major critics in Spain. It supports the study “The effect of the wine critic's 100 points in the digital age: the case of Spain”. The dataset includes time-series information collected over a four-week period following the publication of each rating. Two main dimensions of digital impact are considered: 1. Search interest, measured using Google Trends (values from 0 to 100).2. Media presence, measured through the number of mentions identified via Google News and Search. The dataset is organized into four main components: - dataset_main.csv: panel dataset at wine-week level (critic, wine, week, trends, news, normalized news).- dataset_indices.csv: derived indicators (IRM_T, IRM_N, CI).- dataset_aggregated.csv: average impact values by critic.- dataset_anova.csv: wine-level dataset used for statistical analysis. All indicators follow the methodology defined in the associated article. In particular: IRM_T1 = V1 IRM_T2 = (V1 + V2) / 2 IRM_T4 = (V1 + V2 + V3 + V4) / 4 IRM_N1 = N1_norm IRM_N2 = (N1_norm + N2_norm) / 2 IRM_N4 = (N1_norm + N2_norm + N3_norm + N4_norm) / 4 CI = 0.7 × IRM_T + 0.3 × IRM_N The dataset preserves the original variability of the data, including non-binary Google Trends values. No synthetic or simulated data have been introduced. This dataset allows full replication of the results presented in the article, including aggregated indicators, distribution analysis, and statistical testing. Scope and limitations:- Geographic scope: Spain- Time window: four weeks after rating publication- Media sources are not differentiated by type (all mentions are treated equally) The dataset is provided in a clean and structured format to ensure transparency, reproducibility, and reuse in further research.