New Materials Cloud Archive record

Submission procedure

  1. Before submitting your first record, please carefully read the ARCHIVE policies on the content hosted on the Materials Cloud Archive.
  2. Submitting this form creates a draft associated with a unique token.
  3. Once the draft is ready for publication, click the link in the next page to notify the ARCHIVE administrators and ask for publication.
  4. By default, new records are checked weekly on Mondays and published by 20:00 CET.

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Title of the record

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Abstract describing the record

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Choose a license for the data associated with your record (see the spdx license list for details).

Further comments regarding the license (optional)

One keyword per field, use the <b>+ button</b> to add more

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Use + button to add more authors

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Provide email at least for one corresponding author

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e.g. Institut des Sciences et Ingénierie Chimiques, École Polytechnique Fédérale de Lausanne (EPFL), CH-1951 Sion, Valais, Switzerland

References associated with the record, e.g. scientific publications where the data is described, etc.

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Type of reference (published paper in a journal, preprint)

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Please use the following style: N. Surname, N. Surname, Journal VOLUME, PAGES (YEAR). E.g.: A. Einstein, Ann. Physik 11, 170-187 (1903)

document object identifier associated with the reference, format: 10.1038/s41565-017-0035-5

URL associated with the reference (DOI preferred)

Description of the reference, e.g. "Paper in which the method is described", "Preprint where the data is discussed"

Files associated with this record. Please consider the 5-star open data guidelines for file formats.
Upon approval of the record, files will be kept available online for at least 10 years.

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Please provide a short description of the contents and file format. For longer descriptions upload a separate README.txt.

Upload the file here. Please use compressed formats for large files.



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  • I confirm that this submission conforms to the Materials Cloud policies
  • I am submitting this record as an author of the data