Jülich DATA

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Jülich DATA is the central institutional repository for research data of Forschungszentrum Jülich.

It serves as a platform for all research data generated at Forschungszentrum Jülich or created in this context. Please feel welcome to index your research data here.

This service is managed by the Central Library. Please see our guide about how to use this service or feel free to reach out via email to forschungsdaten@fz-juelich.de.

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18,881 to 18,890 of 23,903 Results

sub-027_ses-D5_task-RS2_run-02_eeg.set Mar 1, 2023 - Replication Data for: Robustness of individualized inferences from longitudinal resting state EEG dynamics Unknown - 470.2 KB - SHA-256: 37bf1ec4a432bc749636cf23893e567ea558a58f662c842cd78b6aa9983acdcd
sub-027_ses-D5_task-Tap_run-01_eeg.fdt Mar 1, 2023 - Replication Data for: Robustness of individualized inferences from longitudinal resting state EEG dynamics Unknown - 21.3 MB - SHA-256: 53bcc9c4ac4f293f7a20987b6c6cd487a08af721f2a6f79dbc3930973f40e50d
sub-027_ses-D5_task-Tap_run-01_eeg.set Mar 1, 2023 - Replication Data for: Robustness of individualized inferences from longitudinal resting state EEG dynamics Unknown - 1.6 MB - SHA-256: 50c214ae14e987ff36066dc6a84830a2389a8afa3c71b17b424bb7f3f97124bd
sub-027_ses-D5_task-Tap_run-02_eeg.fdt Mar 1, 2023 - Replication Data for: Robustness of individualized inferences from longitudinal resting state EEG dynamics Unknown - 21.3 MB - SHA-256: 8c0b6687de2a1ab4955c0881b1de31ffd1a85b7ef3e524a8a87a301d968c4a23
sub-027_ses-D5_task-Tap_run-02_eeg.set Mar 1, 2023 - Replication Data for: Robustness of individualized inferences from longitudinal resting state EEG dynamics Unknown - 1.6 MB - SHA-256: 0b156468cbaad19ef1d7e1f38fb2960ab21766f7a7889f36c1ff5cde4edca25b
loadScanMat.m Feb 23, 2023 - Replication Data for: On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots Plain Text - 2.5 KB - SHA-256: 718d06bf5a4fc9829c8201ce771e83e68d509ede66d9ef3b432102e2d1cd6937
Scans_new.md Feb 23, 2023 - Replication Data for: On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots Markdown Text - 10.3 KB - SHA-256: 97a19bf811dca5225496bb6fabb7e839329bf71ab54ac38017f5ec1705a37517
smdata_new.md Feb 23, 2023 - Replication Data for: On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots Markdown Text - 4.3 KB - SHA-256: 64d905a97d94ef39ee7da46212793b86271b0727f910fbfaecaa95499f9f008a
sm_sensor_2d_1_SL1_SR1_2021_03_26_19_12_17_1_1.mat Feb 23, 2023 - Replication Data for: On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots MATLAB Data - 161.7 KB - SHA-256: 321a0eb7fbfbaf69e64f6f26a0e001dc18a1d2da8376dc4b66b5e18cca2e5216
sm_sensor_2d_1_SL1_SR1_2021_03_29_12_33_17_1_1.mat Feb 23, 2023 - Replication Data for: On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots MATLAB Data - 82.1 KB - SHA-256: 4c638e47638c673f6a2a1ba5a8c2f1e880e532fc63d6ef66c9ae421bd90869ba

sub-027_ses-D5_task-RS2_run-02_eeg.set

Mar 1, 2023 - Replication Data for: Robustness of individualized inferences from longitudinal resting state EEG dynamics

Unknown - 470.2 KB - SHA-256: 37bf1ec4a432bc749636cf23893e567ea558a58f662c842cd78b6aa9983acdcd

sub-027_ses-D5_task-Tap_run-01_eeg.fdt

Mar 1, 2023 - Replication Data for: Robustness of individualized inferences from longitudinal resting state EEG dynamics

Unknown - 21.3 MB - SHA-256: 53bcc9c4ac4f293f7a20987b6c6cd487a08af721f2a6f79dbc3930973f40e50d

sub-027_ses-D5_task-Tap_run-01_eeg.set

Mar 1, 2023 - Replication Data for: Robustness of individualized inferences from longitudinal resting state EEG dynamics

Unknown - 1.6 MB - SHA-256: 50c214ae14e987ff36066dc6a84830a2389a8afa3c71b17b424bb7f3f97124bd

sub-027_ses-D5_task-Tap_run-02_eeg.fdt

Mar 1, 2023 - Replication Data for: Robustness of individualized inferences from longitudinal resting state EEG dynamics

Unknown - 21.3 MB - SHA-256: 8c0b6687de2a1ab4955c0881b1de31ffd1a85b7ef3e524a8a87a301d968c4a23

sub-027_ses-D5_task-Tap_run-02_eeg.set

Mar 1, 2023 - Replication Data for: Robustness of individualized inferences from longitudinal resting state EEG dynamics

Unknown - 1.6 MB - SHA-256: 0b156468cbaad19ef1d7e1f38fb2960ab21766f7a7889f36c1ff5cde4edca25b

loadScanMat.m

Feb 23, 2023 - Replication Data for: On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots

Plain Text - 2.5 KB - SHA-256: 718d06bf5a4fc9829c8201ce771e83e68d509ede66d9ef3b432102e2d1cd6937

Scans_new.md

Feb 23, 2023 - Replication Data for: On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots

Markdown Text - 10.3 KB - SHA-256: 97a19bf811dca5225496bb6fabb7e839329bf71ab54ac38017f5ec1705a37517

smdata_new.md

Feb 23, 2023 - Replication Data for: On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots

Markdown Text - 4.3 KB - SHA-256: 64d905a97d94ef39ee7da46212793b86271b0727f910fbfaecaa95499f9f008a

sm_sensor_2d_1_SL1_SR1_2021_03_26_19_12_17_1_1.mat

Feb 23, 2023 - Replication Data for: On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots

MATLAB Data - 161.7 KB - SHA-256: 321a0eb7fbfbaf69e64f6f26a0e001dc18a1d2da8376dc4b66b5e18cca2e5216

sm_sensor_2d_1_SL1_SR1_2021_03_29_12_33_17_1_1.mat

Feb 23, 2023 - Replication Data for: On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots

MATLAB Data - 82.1 KB - SHA-256: 4c638e47638c673f6a2a1ba5a8c2f1e880e532fc63d6ef66c9ae421bd90869ba

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