Generative AI Tools, Models and Resources is a curated dataset designed to provide an accessible, organized collection of resources in the field of generative artificial intelligence. The dataset is derived from the Awesome Generative AI list (https://github.com/steven2358/awesome-generative-ai) and is available in both CSV and JSON formats. Each resource includes the following fields: Name, URL, description, tags, category, and subcategory. This dataset is curated by Steven Van Vaerenbergh, a lecturer and researcher in machine learning and mathematics education at the University of Cantabria, Spain. The aim is to provide a practical and well-organized resource for the scientific community. The inclusion criteria reflect a combination of community input and the curator's judgment, making this a selected, rather than exhaustive, collection. Potential use cases include academic research, teaching, and industry applications for identifying generative AI tools and trends. This repository will be periodically updated, with version history tracked via Zenodo. License: CC BY 4.0. Proper attribution is required for use of this dataset.