Research Data Leeds Repository

Citation

Quarterman, Patrick and Satchell, Nathan and Kirby, Brian J. and Loloee, Reza and Burnell, Gavin and Birge, Norman O. and Borchers, Julie A. (2020) Distortions to the penetration depth and coherence length of superconductor/normal-metal superlattices - dataset. University of Leeds. [Dataset] https://doi.org/10.5518/767

Dataset description

This is the dataset for "Distortions to the penetration depth and coherence length of superconductor/normal-metal superlattices" containing raw polarized neutron, x-ray and electrical transport data appearing in the main text

Subjects:	F000 - Physical sciences > F300 - Physics
Divisions:	Faculty of Engineering and Physical Sciences > School of Physics and Astronomy
Related resources:	Location Type https://arxiv.org/abs/2001.09310 Publication https://doi.org/10.1103/PhysRevMaterials.4.074801 Publication https://eprints.whiterose.ac.uk/163107/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	20 Mar 2020 11:03
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/653
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Quarterman, Patrick https://orcid.org/0000-0001-6272-6243 NIST Center for Neutron Research https://ror.org/05qgcra83 ror Satchell, Nathan https://orcid.org/0000-0003-1597-2489 University of Leeds https://ror.org/024mrxd33 ror Kirby, Brian J. https://orcid.org/0000-0003-2472-3791 NIST Center for Neutron Research https://ror.org/05qgcra83 ror Loloee, Reza Michigan State University https://ror.org/05hs6h993 ror Burnell, Gavin https://orcid.org/0000-0002-9486-0639 University of Leeds https://ror.org/024mrxd33 ror Birge, Norman O. https://orcid.org/0000-0001-7840-3908 Michigan State University https://ror.org/05hs6h993 ror Borchers, Julie A. https://orcid.org/0000-0002-3348-8212 NIST Center for Neutron Research https://ror.org/05qgcra83 ror Type of data: Dataset Research funders: Marie Sklodowska-Curie Action "SUPERSPIN" Grant numbers: 743791 Publication date: 2020 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: phyns@leeds.ac.uk Last Modified: 08 Jul 2024 13:50

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Documentation

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Data

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