Dataset to publication: Influence of surface carbon on the performance of cesiated p-GaN photocathodes with high quantum efficiency

DOI

This data repository contains analyzed data files of the shown figures.

Please see the info.txt files in the individual directories and the original manuscript for guidance. Manuscript title: Influence of surface carbon on the performance of cesiated p-GaN photocathodes with high quantum efficiency

Original datasets of the surface study of p-GaN: after wet chemical cleaning, after Cs deposition, during the degradation, and the influence of X-rays on p-GaN:Cs photocathodes. The folder contains datasets from origin, excel and XPS files (.vms) The XPS data were evaluated by using CasaXPS.

Identifier
DOI https://doi.org/10.14278/rodare.1891
Related Identifier Cites https://doi.org/10.17815/jlsrf-2-58
Related Identifier IsReferencedBy https://doi.org/10.1038/s41598-023-30329-0
Related Identifier IsIdenticalTo https://www.hzdr.de/publications/Publ-36591
Related Identifier IsReferencedBy https://www.hzdr.de/publications/Publ-36143
Related Identifier IsPartOf https://doi.org/10.14278/rodare.1890
Related Identifier IsPartOf https://rodare.hzdr.de/communities/elbe
Related Identifier IsPartOf https://rodare.hzdr.de/communities/rodare
Related Identifier IsPartOf https://rodare.hzdr.de/communities/superconducting-electron-linear-accelerator-elbe
Metadata Access https://rodare.hzdr.de/oai2d?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:rodare.hzdr.de:1891
Provenance
Creator Schaber, Jana ORCID logo; Xiang, Rong ORCID logo; Teichert, Jochen; Arnold, André (ORCID: 0000-0003-1046-635X); Murcek, Petr; Zwartek, Paul; Ryzhov, Anton ORCID logo; Ma, Shuai ORCID logo; Gatzmaga, Stefan; Michel, Peter ORCID logo
Publisher Rodare
Publication Year 2022
Rights Creative Commons Attribution 4.0 International; Open Access; https://creativecommons.org/licenses/by/4.0/legalcode; info:eu-repo/semantics/openAccess
OpenAccess true
Contact https://rodare.hzdr.de/support
Representation
Resource Type Dataset
Version CasaXPS Version2.3.24PR1.0
Discipline Life Sciences; Natural Sciences; Engineering Sciences