3,221 to 3,230 of 3,572 Results
Mar 1, 2023 -
Replication Data for: Robustness of individualized inferences from longitudinal resting state EEG dynamics
Unknown - 9.2 MB - SHA-256: 2753c97bf4d805c4439c6c0ba9db70cfaee63e988f8f15a00046f3ab3af8aae8
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Mar 1, 2023 -
Replication Data for: Robustness of individualized inferences from longitudinal resting state EEG dynamics
Unknown - 471.1 KB - SHA-256: a567cdb85bc367232cf2a40e3bf38e8cb330352f56e9fb1edd7a9a3b32e98ce8
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Mar 1, 2023 -
Replication Data for: Robustness of individualized inferences from longitudinal resting state EEG dynamics
Unknown - 9.2 MB - SHA-256: 62293c766f26e4b2c1902a2b9e011fa402bc93f097850a3e046eb08ce31c7637
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Mar 1, 2023 -
Replication Data for: Robustness of individualized inferences from longitudinal resting state EEG dynamics
Unknown - 470.2 KB - SHA-256: 37bf1ec4a432bc749636cf23893e567ea558a58f662c842cd78b6aa9983acdcd
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Mar 1, 2023 -
Replication Data for: Robustness of individualized inferences from longitudinal resting state EEG dynamics
Unknown - 21.3 MB - SHA-256: 53bcc9c4ac4f293f7a20987b6c6cd487a08af721f2a6f79dbc3930973f40e50d
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Mar 1, 2023 -
Replication Data for: Robustness of individualized inferences from longitudinal resting state EEG dynamics
Unknown - 1.6 MB - SHA-256: 50c214ae14e987ff36066dc6a84830a2389a8afa3c71b17b424bb7f3f97124bd
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Mar 1, 2023 -
Replication Data for: Robustness of individualized inferences from longitudinal resting state EEG dynamics
Unknown - 21.3 MB - SHA-256: 8c0b6687de2a1ab4955c0881b1de31ffd1a85b7ef3e524a8a87a301d968c4a23
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Mar 1, 2023 -
Replication Data for: Robustness of individualized inferences from longitudinal resting state EEG dynamics
Unknown - 1.6 MB - SHA-256: 0b156468cbaad19ef1d7e1f38fb2960ab21766f7a7889f36c1ff5cde4edca25b
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Feb 23, 2023 - Campus Collection
Hader, Fabian; Vogelbruch, Jan; Humpohl, Simon; Hangleiter, Tobias; Eguzo, Chimezie; Heinen, Stefan; Meyer, Stefanie; van Waasen, Stefan, 2023, "Replication Data for: On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots", https://doi.org/10.26165/JUELICH-DATA/QIIBZV, Jülich DATA, V1
Sensor dot measurement data (Matlab format) and format description used in the evaluation of IEEE TQE paper: On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots, 2023 |
Feb 23, 2023 -
Replication Data for: On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots
Plain Text - 2.5 KB - SHA-256: 718d06bf5a4fc9829c8201ce771e83e68d509ede66d9ef3b432102e2d1cd6937
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