# ElecTrance: Predicting Superconductivity Peaks — Data

来源：https://www.kaggle.com/competitions/electrance-predicting-superconductivity-peaks/data

采集时间：2026-10-20T04:18:36Z

The dataset consists of a collection of superconductors, each characterized by a set of parameters. These parameters include atomic mass, entropy atomic mass, the number of elements, atomic radius, density, electron affinity, fusion heat, thermal conductivity, and valence. Participants will use this information to train their machine learning models to find the critical temperature of superconductors.