Data and code for: Two decades of public search interest in neurosurgical topics: a Google Trends analysis, 2004–2025

Raw data, derived tables, analysis outputs and the complete analysis code for the study "Two decades of public search interest in neurosurgical topics: a Google Trends analysis, 2004–2025" (single author: Adil Can Karaoğlu, Balıkesir University Faculty of Medicine, Department of Neurosurgery). Contents: (1) raw Google Trends series retrieved on 27 October 2026 through the explore/multiline endpoints of the Google Trends web interface (worldwide, all categories, web search; nine neurosurgical topics, a fixed anchor entity, a control entity, anchored five-item requests, replicate and chained requests, five-item comparison requests), plus two complete repeat extractions (29 October and 1 November 2026) used only to quantify between-extraction agreement; (2) annual PubMed publication counts (Entrez E-utilities, 27 October 2026) with the exact queries; (3) tidy monthly CSV tables and every analysis output used in the manuscript (anchored cross-topic ratios, joinpoint regression, interrupted time-series models, Spearman correlations, the post-July-2025 change, extraction agreement); (4) the Joinpoint Regression Program 6.0.1 (National Cancer Institute) input files and unedited exports; (5) the Python 3.13 analysis pipeline, the browser extraction script and the manuscript assembly scripts. See README.md for the file map and the order in which the scripts run.