A Fully Synthetic Dataset Inspired by Climate Change for Model Training

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Dr. Özlem ÖZKAN
DOI: 10.5281/zenodo.18432484
Cited by: 0

Abstract

This dataset is fully synthetic and was generated using a combination of manual design and large language model (ChatGPT) assistance.It does not represent real-world measurements or observations and is intended solely for methodological testing, benchmarking, and demonstration purposes.

Fields of Study & Subjects

Climate variability and models Climate Change and Environmental Impact Environmental Monitoring and Data Management

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
30 January 2026
Document type
Dataset