Primary experimental data: Dynamical interplay between superconductivity and charge density waves: A nonlinear terahertz study of coherently driven 2H−NbSe2

DOI

This publication contains raw data and metadata (labbook entries) related to the

The data for our NbSe2 paper were primarily collected during the beamtime starting on 2022-05-08 and 2021-08-11. Below are the specific details:

(1) Figure 1:

The data are from the beamtime starting on 2022-05-08:

File numbers 046 to 064, measured on 2022-05-09. File numbers 093 to 108, measured on 2022-05-10.

(2) Figure 2:

he data are from the beamtime starting on 2021-08-11:

File numbers 038 to 069, measured on 2021-08-14.

files: From "038_300GHz_NbSe2-flake_WG90_gain20_2p79K_THG_20mW.0" to "069_300GHz_NbSe2-flake_WG90_gain20_44p6K_THG_21mW.0".

(3) Figure 3:

The data are also from the beamtime starting on 2021-08-11:

File numbers 01 to 22, measured on 2021-08-15.

files: From "01_Polarization_75K_W3_0_W2_45_Wsample_05.0" to "32_Polarization_4K_W3_90_W2_44_Wsample_05.0".  

Identifier
DOI https://doi.org/10.14278/rodare.3418
Related Identifier Cites https://doi.org/10.17815/jlsrf-2-58
Related Identifier IsIdenticalTo https://www.hzdr.de/publications/Publ-40753
Related Identifier IsReferencedBy https://www.hzdr.de/publications/Publ-38476
Related Identifier IsPartOf https://doi.org/10.14278/rodare.3417
Related Identifier IsPartOf https://rodare.hzdr.de/communities/elbe
Related Identifier IsPartOf https://rodare.hzdr.de/communities/matter
Related Identifier IsPartOf https://rodare.hzdr.de/communities/rodare
Related Identifier IsPartOf https://rodare.hzdr.de/communities/telbe
Metadata Access https://rodare.hzdr.de/oai2d?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:rodare.hzdr.de:3418
Provenance
Creator Deinert, Jan-Christoph ORCID logo; Kovalev, Sergey
Publisher Rodare
Contributor Feng, Liwen; Kaiser, Stefan
Publication Year 2025
Rights Restricted Access; info:eu-repo/semantics/restrictedAccess
OpenAccess false
Contact https://rodare.hzdr.de/support
Representation
Language English
Resource Type Dataset
Version 1.0
Discipline Life Sciences; Natural Sciences; Engineering Sciences