Experimental Magnetocaloric Properties of Perovskite Oxides: A Curated Dataset for Machine Learning Applications

This dataset presents a curated collection of experimental magnetocaloric properties of perovskite oxides compiled from peer-reviewed literature. The dataset is designed to support data-driven materials discovery and machine learning applications in magnetic refrigeration research. It includes structured tabular data on magnetocaloric performance metrics such as magnetic entropy change, magnetic phase transition characteristics, applied magnetic field conditions, and compositional information. Where available, additional structural parameters and synthesis-related details are included to enhance predictive modeling capability. All values are experimentally reported measurements extracted directly from published sources.本数据集为经精选汇编的钙钛矿氧化物（perovskite oxides）实验磁热性质集合，所有数据均源自同行评审的已发表文献。本数据集旨在为磁制冷研究领域的数据驱动材料发现与机器学习应用提供支撑。数据集包含磁热性能指标的结构化表格数据，具体涵盖磁熵变（magnetic entropy change）、磁相变特性（magnetic phase transition characteristics）、外加磁场条件（applied magnetic field conditions）以及组分信息等内容。若文献可提供相关记录，数据集还将补充收录结构参数与合成相关细节，以提升预测建模能力。所有数据均为直接从已发表文献中提取的实验实测值。