Cleaned corpus and reproducible pipeline for the bibliometric analysis of artificial intelligence in civil engineering (2000-2025)

This dataset accompanies the manuscript "Bibliometric Analysis of
Artificial Intelligence in Civil Engineering (2000–2025): Trends,
Sub-domain Trajectories, Thematic Clusters, and Emerging Research
Frontiers". It provides the complete PRISMA-cleaned corpus of 18,334
peer-reviewed Scopus articles, the Python pipeline used for all
analyses, the four statistical tests (Pettitt, Mann-Whitney, KS,
bootstrap), the 100-record manual audit, the classifier validation,
and all bibliometric tables and VOSviewer-ready exports needed to
reproduce every reported statistic.