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Superconductivty Data Data Set
Download: Data Folder, Data Set Description

Abstract: Two file s contain data on 21263 superconductors and their relevant features.

Data Set Characteristics:  

Multivariate

Number of Instances:

21263

Area:

Physical

Attribute Characteristics:

Real

Number of Attributes:

81

Date Donated

2018-10-12

Associated Tasks:

Regression

Missing Values?

N/A

Number of Web Hits:

6816


Source:

Kam Ham idieh, khamidieh '@' gmail.com, University of Pennsylvania, Statistics


Data Set Information:

There are two files: (1) train.csv contains 81 features extracted from 21263 superconductors along with the critical temperature in the 82nd column, (2) unique_m.csv contains the chemical formula broken up for all the 21263 superconductors from the train.csv file. The last two columns have the critical temperature and chemical formula. The original data comes from [Web Link] which is public. The goal here is to predict the critical temperature based on the features extracted.


Attribute Information:

Please see the relevant paper for the feature explanations.


Relevant Papers:

Hamidieh, Kam, A data-driven statistical model for predicting the critical temperature of a superconductor, Computational Materials Science, Volume 154, November 2018, Pages 346-354, [Web Link]



Citation Request:

Hamidieh, Kam, A data-driven statistical model for predicting the critical temperature of a superconductor, Computational Materials Science, Volume 154, November 2018, Pages 346-354, [Web Link]


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