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Publication Year: 2020

161 to 170 of 1,120 Results

Data for: Flux periodic oscillations and phase-coherent transport in GeTe nanowire-based devices Dec 16, 2020 - Peter Grünberg Institute – Semiconductor Nanoelectronics (PGI-9) Zhang, Jinzhong; Tse, Pok-Lam; Jalil, Abdur-Rehman; Kölzer, Jonas; Rosenbach, Daniel; Luysberg, Martina; Panaitov, Gergory; Lüth, Hans; Hu, Zhigao; Grützmacher, Detlev; Lüth, Hans; Lu, Jia Grace; Schäpers, Thomas, 2020, "Data for: Flux periodic oscillations and phase-coherent transport in GeTe nanowire-based devices", https://doi.org/10.26165/JUELICH-DATA/M1IQVG, Jülich DATA, V1 Flux periodic oscillations and phase-coherent transport in GeTe nanowire-based devices: Source data underlying Figs. 1-4 and Supplementary Figs. S3, S6, and S8.
Source-Data-GeTe-Nanowires.xlsx Dec 16, 2020 - Data for: Flux periodic oscillations and phase-coherent transport in GeTe nanowire-based devices MS Excel Spreadsheet - 1.5 MB - SHA-256: 60dc3f3e9c729366803a0332ad5768c1ce0904afe9e606d7cca0766e6694a406 Flux periodic oscillations and phase-coherent transport in GeTe nanowire-based devices: Source data underlying Figs. 1-4 and Supplementary Figs. S3, S6, and S8.
Peter Grünberg Institute – Semiconductor Nanoelectronics (PGI-9)(Forschungszentrum Jülich ) Dec 16, 2020 The dataverse of the Peter Grünberg Institute – Semiconductor Nanoelectronics (PGI-9)
Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects Dec 9, 2020 - Computational Neurology Dataverse Rosjat, Nils; Wang, Bin A.; Liu, Liqing; Fink, Gereon R.; Daun, Silvia, 2020, "Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects", https://doi.org/10.26165/JUELICH-DATA/T1PKNZ, Jülich DATA, V1 Data description This dataset includes EEG recordings of 18 younger healthy subjects (18-35yrs) and 24 older healthy subjects (60+yrs) while they performed a visually cued finger tapping task. The task includes a visually-cued index finger tapping task and a vision-only control c...
BehavDataOldSubj.xlsx Dec 9, 2020 - Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects MS Excel Spreadsheet - 13.2 KB - SHA-256: 5186b5e8e57fb29e25a6032385999a2e95166e2a9483ce720a6dab61796301b3
BehavDataYoungSubj.xlsx Dec 9, 2020 - Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects MS Excel Spreadsheet - 12.2 KB - SHA-256: fce0a0cd4a8f62a2fdb1778c91994d00427060ba60cd323e65523b25f69507f2
dataset_description.json Dec 9, 2020 - Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects JSON - 276 B - SHA-256: 82bd306403e458773991dc62f3f540d08be4daeeb75cb771517160255a12486e
participants.json Dec 9, 2020 - Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects JSON - 504 B - SHA-256: 9d13cf31db6d0618ced9cbb28f58fd20b582a34c257060b01988c37a932a4160
participants.tsv Dec 9, 2020 - Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects Tab-Separated Values - 782 B - SHA-256: fc49ab8c967aea546651f18b0fd19e6f81a7ce345a36425209a1e31cd39b16b6
README Dec 9, 2020 - Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects Plain Text - 374 B - SHA-256: 0a3fcaaa24f3d98a7812dc444c01a02ad61b67432c274864e4fa3edbf3a8b942

Data for: Flux periodic oscillations and phase-coherent transport in GeTe nanowire-based devices

Dec 16, 2020 - Peter Grünberg Institute – Semiconductor Nanoelectronics (PGI-9)

Zhang, Jinzhong; Tse, Pok-Lam; Jalil, Abdur-Rehman; Kölzer, Jonas; Rosenbach, Daniel; Luysberg, Martina; Panaitov, Gergory; Lüth, Hans; Hu, Zhigao; Grützmacher, Detlev; Lüth, Hans; Lu, Jia Grace; Schäpers, Thomas, 2020, "Data for: Flux periodic oscillations and phase-coherent transport in GeTe nanowire-based devices", https://doi.org/10.26165/JUELICH-DATA/M1IQVG, Jülich DATA, V1

Flux periodic oscillations and phase-coherent transport in GeTe nanowire-based devices: Source data underlying Figs. 1-4 and Supplementary Figs. S3, S6, and S8.

Source-Data-GeTe-Nanowires.xlsx

Dec 16, 2020 - Data for: Flux periodic oscillations and phase-coherent transport in GeTe nanowire-based devices

MS Excel Spreadsheet - 1.5 MB - SHA-256: 60dc3f3e9c729366803a0332ad5768c1ce0904afe9e606d7cca0766e6694a406

Flux periodic oscillations and phase-coherent transport in GeTe nanowire-based devices: Source data underlying Figs. 1-4 and Supplementary Figs. S3, S6, and S8.

Peter Grünberg Institute – Semiconductor Nanoelectronics (PGI-9)(Forschungszentrum Jülich )

Dec 16, 2020

The dataverse of the Peter Grünberg Institute – Semiconductor Nanoelectronics (PGI-9)

Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects

Dec 9, 2020 - Computational Neurology Dataverse

Rosjat, Nils; Wang, Bin A.; Liu, Liqing; Fink, Gereon R.; Daun, Silvia, 2020, "Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects", https://doi.org/10.26165/JUELICH-DATA/T1PKNZ, Jülich DATA, V1

Data description This dataset includes EEG recordings of 18 younger healthy subjects (18-35yrs) and 24 older healthy subjects (60+yrs) while they performed a visually cued finger tapping task. The task includes a visually-cued index finger tapping task and a vision-only control c...

BehavDataOldSubj.xlsx

Dec 9, 2020 - Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects

MS Excel Spreadsheet - 13.2 KB - SHA-256: 5186b5e8e57fb29e25a6032385999a2e95166e2a9483ce720a6dab61796301b3

BehavDataYoungSubj.xlsx

Dec 9, 2020 - Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects

MS Excel Spreadsheet - 12.2 KB - SHA-256: fce0a0cd4a8f62a2fdb1778c91994d00427060ba60cd323e65523b25f69507f2

dataset_description.json

Dec 9, 2020 - Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects

JSON - 276 B - SHA-256: 82bd306403e458773991dc62f3f540d08be4daeeb75cb771517160255a12486e

participants.json

Dec 9, 2020 - Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects

JSON - 504 B - SHA-256: 9d13cf31db6d0618ced9cbb28f58fd20b582a34c257060b01988c37a932a4160

participants.tsv

Dec 9, 2020 - Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects

Tab-Separated Values - 782 B - SHA-256: fc49ab8c967aea546651f18b0fd19e6f81a7ce345a36425209a1e31cd39b16b6

README

Dec 9, 2020 - Data for: Stimulus transformation into motor action: dynamic graph analysis reveals a posterior-to-anterior shift in brain network communication of older subjects

Plain Text - 374 B - SHA-256: 0a3fcaaa24f3d98a7812dc444c01a02ad61b67432c274864e4fa3edbf3a8b942

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