Training and Predicted Data for Machine Learning on Thermoelectric Materials

Contributing person
datacite.contributor.HostingInstitution

IFW Dresden

Description of the data
datacite.resourceType

Training and predicted datasets

Type of the data
datacite.resourceTypeGeneral

Dataset

Total size of the dataset
datacite.size

11078123

Author
dc.contributor.author

Thomas, Andy

Author
dc.contributor.author

Chernyavskii, Dmitry

Upload date
dc.date.accessioned

2022-04-07T17:46:48Z

Upload date
dc.date.accessioned

2026-06-05T13:13:31Z

Publication date
dc.date.available

2022-04-07T17:46:48Z

Publication date
dc.date.available

2026-06-05T13:13:31Z

Data of data creation
dc.date.created

2020-2022

Publication date
dc.date.issued

2022-04-07

Abstract of the dataset
dc.description.abstract

This is supplementary information to the manuscript: "Sustainable Thermoelectric Materials Predicted by Machine Learning"

Public reference to this page
dc.identifier.uri

https://opara.zih.tu-dresden.de/handle/123456789/2541

Public reference to this page
dc.identifier.uri

https://doi.org/10.25532/OPARA-164

Publisher
dc.publisher

Technische Universität Dresden

Licence
dc.rights

Attribution 4.0 International

URI of the licence text
dc.rights.uri

http://creativecommons.org/licenses/by/4.0/

Specification of the discipline(s)
dc.subject.classification

4::44::408

Specification of the discipline(s)
dc.subject.classification

3::31

Specification of the discipline(s)
dc.subject.classification

3::32

Title of the dataset
dc.title

Training and Predicted Data for Machine Learning on Thermoelectric Materials

Project title
opara.project.title

Sustainable Thermoelectric Materials Predicted by Machine Learning

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predicted_data_full_final.csv
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training_data_final.csv
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830.33 KB
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Meaning of the respective columns in the two tables
Attribution 4.0 International