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Peter Grünberg Institut – Quantum Nanoscience (PGI-3) (Forschungszentrum Jülich)
The dataverse of the Peter Grünberg Institut – Quantum Nanoscience (PGI-3)
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kmap_Cu110_082_BE0.13.hdf5
Hierarchical Data Format - 1.4 MB - SHA-256: 01eb2530caa71857766727b4a49a32f21ed83208f7e85ac817dca59de955c174
kmap_Cu110_082_BE0.23.hdf5
Hierarchical Data Format - 1.4 MB - SHA-256: 48ba6b763d0e932c745d49565494e81d5eb4f6b324f2905683b8778c5a6cd073
kmap_Cu110_25lay_a3.61_BE0.22.hdf5
Hierarchical Data Format - 5.0 MB - SHA-256: fb3d616b6085d66b2b1e0c9f8331f0d88966876551b6e01f4548f5e897b672e7
Disentangling the Electronic Structure of an Adsorbed Graphene Nanoring: Cycloarene C108 by Scanning Tunneling Microscopy
Jul 14, 2022
Martinez, Jose; Bolat, Rustem; Fan, Qitang; Werner, simon; Arefi, Hadi H.; Esat, Taner; Sundermeyer, Jörg; Wagner, Christian; Gottfried, J. Michael; Temirov, Ruslan; Ternes, Markus; Tautz, F. Stefan, 2022, "Disentangling the Electronic Structure of an Adsorbed Graphene Nanoring: Cycloarene C108 by Scanning Tunneling Microscopy", https://doi.org/10.26165/JUELICH-DATA/ONOVYK, Jülich DATA, V1
We provide here the raw data used to produce the figures in the publication Martinez-Castro et al., Disentangling the electronic structure of an adsorbed graphene nanoring by scanning tunneling microscopy, Communications Materials 3, 57 (2022) DOI: 10.1038/s43246-022-00275-x All...
A200710.194155.dat
Fixed Field Text Data - 177.0 KB - SHA-256: 8ec5ca9336f123626539f4d32e3ef1dfdaf963e27c44db4400b44a4d910d17c7
A200710.194310.specgrid
Unknown - 156.3 MB - SHA-256: 5f6ca3b9673442c6b4f4b018aa4c18342ccd9755115a0d8db41aed658031b7c7
A200710.194310.specgrid.dat
Fixed Field Text Data - 185.0 KB - SHA-256: 6053c53fa9b562408ccce06a7f50613f5d7b5911a0e4a6b79fbebc3abf365ab7
A200730.154354.dat
Fixed Field Text Data - 592.2 KB - SHA-256: 436dc42a00e1b26e05600ae8d3ccc14a09bcf801ffdb8003af43af5b477c5c3f
A200731.103734.dat
Fixed Field Text Data - 580.2 KB - SHA-256: e34dd0f7292280f2e74393b51aa92085c4d57a6011deb17420e52313e7c93eff
A200731.123400.dat
Fixed Field Text Data - 585.9 KB - SHA-256: 5c1adc1cad6b826caade0471ba6e10baceb2251317e98a07a2f767d87fd7b513
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