diff --git a/datasets/eeg_ds002893s_hed_attention_shift/dataset_description.json b/datasets/eeg_ds002893s_hed_attention_shift/dataset_description.json
index c015f089..eab09d6f 100644
--- a/datasets/eeg_ds002893s_hed_attention_shift/dataset_description.json
+++ b/datasets/eeg_ds002893s_hed_attention_shift/dataset_description.json
@@ -1,21 +1,21 @@
-{
- "Name": "Auditory-Visual Shift Study",
- "BIDSVersion": "1.9.0",
- "HEDVersion": "8.2.0",
- "License": "CC0",
- "Authors": [
- "Marissa Westerfield (data, curation)",
- "Scott Makeig (data, curation)",
- "Dung Truong (curation)",
- "Kay Robbins (curation)",
- "Arno Delorme (curation)"
- ],
- "HowToAcknowledge": "Cite this paper: https://pubmed.ncbi.nlm.nih.gov/18482717/ and consider including the following message: 'This data was obtained from the OpenNeuro database. Its accession number is ds002893'",
- "ReferencesAndLinks": [
- "Ceponiene R., Westerfield M., Torki M., and Townsend J.(2008). Modality-specificity of sensory aging in vision and audition: Evidence from event-related potentials, Brain Research, vol. 1215, 53-68. DOI: 10.1016/j.brainres.2008.02.010."
- ],
- "Funding": [
- "National Institutes of Health National Institute on Aging (R01-AG18030)."
- ],
- "DatasetDOI": "doi:10.18112/openneuro.ds002893.v2.0.0"
+{
+ "Name": "Auditory-Visual Shift Study",
+ "BIDSVersion": "1.10.0",
+ "HEDVersion": "8.3.0",
+ "License": "CC0",
+ "Authors": [
+ "Marissa Westerfield (data, curation)",
+ "Scott Makeig (data, curation)",
+ "Dung Truong (curation)",
+ "Kay Robbins (curation)",
+ "Arno Delorme (curation)"
+ ],
+ "HowToAcknowledge": "Cite this paper: https://pubmed.ncbi.nlm.nih.gov/18482717/ and consider including the following message: 'This data was obtained from the OpenNeuro database. Its accession number is ds002893'",
+ "ReferencesAndLinks": [
+ "Ceponiene R., Westerfield M., Torki M., and Townsend J.(2008). Modality-specificity of sensory aging in vision and audition: Evidence from event-related potentials, Brain Research, vol. 1215, 53-68. DOI: 10.1016/j.brainres.2008.02.010."
+ ],
+ "Funding": [
+ "National Institutes of Health National Institute on Aging (R01-AG18030)."
+ ],
+ "DatasetDOI": "doi:10.18112/openneuro.ds002893.v2.0.0"
}
\ No newline at end of file
diff --git a/datasets/eeg_ds003645s_hed/dataset_description.json b/datasets/eeg_ds003645s_hed/dataset_description.json
index 27c54889..83d930da 100644
--- a/datasets/eeg_ds003645s_hed/dataset_description.json
+++ b/datasets/eeg_ds003645s_hed/dataset_description.json
@@ -1,27 +1,27 @@
-{
- "Name": "Face processing MEEG dataset with HED annotation",
- "BIDSVersion": "1.9.0",
- "HEDVersion": "8.2.0",
- "License": "CC0",
- "Authors": [
- "Daniel G. Wakeman",
- "Richard N Henson",
- "Dung Truong (curation)",
- "Kay Robbins (curation)",
- "Scott Makeig (curation)",
- "Arno Delorme (curation)"
- ],
- "ReferencesAndLinks": [
- "Wakeman, D., Henson, R. (2015). A multi-subject, multi-modal human neuroimaging dataset. Sci Data 2, 150001. https://doi.org/10.1038/sdata.2015.1",
- "Robbins, K., Truong, D., Appelhoff, S., Delorme, A., & Makeig, S. (2021). Capturing the nature of events and event context using Hierarchical Event Descriptors (HED). In press for NeuroImage Special Issue Practice in MEEG. NeuroImage 245 (2021) 118766. Online: https://www.sciencedirect.com/science/article/pii/S1053811921010387.",
- "Robbins, K., Truong, D., Jones, A., Callanan, I., & Makeig, S. (2021). Building FAIR functionality: Annotating events in time series data using Hierarchical Event Descriptors (HED). Neuroinformatics Special Issue Building the NeuroCommons. Neuroinformatics https://doi.org/10.1007/s12021-021-09537-4. Online: https://link.springer.com/article/10.1007/s12021-021-09537-4."
- ],
- "Funding": [
- "Experiment was supported by the UK Medical Research Council (MC_A060_5PR10) and Elekta Ltd.",
- "Curation was supported by: NIH R01 EB023297-03, NIH R01 NS047293-l4, NIH R24 MH120037-01, and R01 MH126700-01A1."
- ],
- "DatasetDOI": "10.18112/openneuro.ds003645.v2.0.2",
- "EthicsApprovals": [
- "The study was approved by Cambridge University Psychological Ethics Committee. Written informed consent was obtained from each participant prior to and following each phase of the experiment."
- ]
+{
+ "Name": "Face processing MEEG dataset with HED annotation",
+ "BIDSVersion": "1.10.0",
+ "HEDVersion": "8.3.0",
+ "License": "CC0",
+ "Authors": [
+ "Daniel G. Wakeman",
+ "Richard N Henson",
+ "Dung Truong (curation)",
+ "Kay Robbins (curation)",
+ "Scott Makeig (curation)",
+ "Arno Delorme (curation)"
+ ],
+ "ReferencesAndLinks": [
+ "Wakeman, D., Henson, R. (2015). A multi-subject, multi-modal human neuroimaging dataset. Sci Data 2, 150001. https://doi.org/10.1038/sdata.2015.1",
+ "Robbins, K., Truong, D., Appelhoff, S., Delorme, A., & Makeig, S. (2021). Capturing the nature of events and event context using Hierarchical Event Descriptors (HED). In press for NeuroImage Special Issue Practice in MEEG. NeuroImage 245 (2021) 118766. Online: https://www.sciencedirect.com/science/article/pii/S1053811921010387.",
+ "Robbins, K., Truong, D., Jones, A., Callanan, I., & Makeig, S. (2021). Building FAIR functionality: Annotating events in time series data using Hierarchical Event Descriptors (HED). Neuroinformatics Special Issue Building the NeuroCommons. Neuroinformatics https://doi.org/10.1007/s12021-021-09537-4. Online: https://link.springer.com/article/10.1007/s12021-021-09537-4."
+ ],
+ "Funding": [
+ "Experiment was supported by the UK Medical Research Council (MC_A060_5PR10) and Elekta Ltd.",
+ "Curation was supported by: NIH R01 EB023297-03, NIH R01 NS047293-l4, NIH R24 MH120037-01, and R01 MH126700-01A1."
+ ],
+ "DatasetDOI": "10.18112/openneuro.ds003645.v2.0.2",
+ "EthicsApprovals": [
+ "The study was approved by Cambridge University Psychological Ethics Committee. Written informed consent was obtained from each participant prior to and following each phase of the experiment."
+ ]
}
\ No newline at end of file
diff --git a/datasets/eeg_ds003645s_hed_column/dataset_description.json b/datasets/eeg_ds003645s_hed_column/dataset_description.json
index 22781305..24efb6b8 100644
--- a/datasets/eeg_ds003645s_hed_column/dataset_description.json
+++ b/datasets/eeg_ds003645s_hed_column/dataset_description.json
@@ -1,27 +1,27 @@
-{
- "Name": "Face processing MEEG dataset with HED annotation",
- "BIDSVersion": "1.8.0",
- "HEDVersion": "8.1.0",
- "License": "CC0",
- "Authors": [
- "Daniel G. Wakeman",
- "Richard N Henson",
- "Dung Truong (curation)",
- "Kay Robbins (curation)",
- "Scott Makeig (curation)",
- "Arno Delorme (curation)"
- ],
- "ReferencesAndLinks": [
- "Wakeman, D., Henson, R. (2015). A multi-subject, multi-modal human neuroimaging dataset. Sci Data 2, 150001. https://doi.org/10.1038/sdata.2015.1",
- "Robbins, K., Truong, D., Appelhoff, S., Delorme, A., & Makeig, S. (2021). Capturing the nature of events and event context using Hierarchical Event Descriptors (HED). In press for NeuroImage Special Issue Practice in MEEG. NeuroImage 245 (2021) 118766. Online: https://www.sciencedirect.com/science/article/pii/S1053811921010387.",
- "Robbins, K., Truong, D., Jones, A., Callanan, I., & Makeig, S. (2021). Building FAIR functionality: Annotating events in time series data using Hierarchical Event Descriptors (HED). Neuroinformatics Special Issue Building the NeuroCommons. Neuroinformatics https://doi.org/10.1007/s12021-021-09537-4. Online: https://link.springer.com/article/10.1007/s12021-021-09537-4."
- ],
- "Funding": [
- "Experiment was supported by the UK Medical Research Council (MC_A060_5PR10) and Elekta Ltd.",
- "Curation was supported by: NIH R01 EB023297-03, NIH R01 NS047293-l4, NIH R24 MH120037-01, and R01 MH126700-01A1."
- ],
- "DatasetDOI": "10.18112/openneuro.ds003645.v2.0.2",
- "EthicsApprovals": [
- "The study was approved by Cambridge University Psychological Ethics Committee. Written informed consent was obtained from each participant prior to and following each phase of the experiment."
- ]
+{
+ "Name": "Face processing MEEG dataset with HED annotation",
+ "BIDSVersion": "1.10.0",
+ "HEDVersion": "8.3.0",
+ "License": "CC0",
+ "Authors": [
+ "Daniel G. Wakeman",
+ "Richard N Henson",
+ "Dung Truong (curation)",
+ "Kay Robbins (curation)",
+ "Scott Makeig (curation)",
+ "Arno Delorme (curation)"
+ ],
+ "ReferencesAndLinks": [
+ "Wakeman, D., Henson, R. (2015). A multi-subject, multi-modal human neuroimaging dataset. Sci Data 2, 150001. https://doi.org/10.1038/sdata.2015.1",
+ "Robbins, K., Truong, D., Appelhoff, S., Delorme, A., & Makeig, S. (2021). Capturing the nature of events and event context using Hierarchical Event Descriptors (HED). In press for NeuroImage Special Issue Practice in MEEG. NeuroImage 245 (2021) 118766. Online: https://www.sciencedirect.com/science/article/pii/S1053811921010387.",
+ "Robbins, K., Truong, D., Jones, A., Callanan, I., & Makeig, S. (2021). Building FAIR functionality: Annotating events in time series data using Hierarchical Event Descriptors (HED). Neuroinformatics Special Issue Building the NeuroCommons. Neuroinformatics https://doi.org/10.1007/s12021-021-09537-4. Online: https://link.springer.com/article/10.1007/s12021-021-09537-4."
+ ],
+ "Funding": [
+ "Experiment was supported by the UK Medical Research Council (MC_A060_5PR10) and Elekta Ltd.",
+ "Curation was supported by: NIH R01 EB023297-03, NIH R01 NS047293-l4, NIH R24 MH120037-01, and R01 MH126700-01A1."
+ ],
+ "DatasetDOI": "10.18112/openneuro.ds003645.v2.0.2",
+ "EthicsApprovals": [
+ "The study was approved by Cambridge University Psychological Ethics Committee. Written informed consent was obtained from each participant prior to and following each phase of the experiment."
+ ]
}
\ No newline at end of file
diff --git a/datasets/eeg_ds003645s_hed_demo/dataset_description.json b/datasets/eeg_ds003645s_hed_demo/dataset_description.json
index 27c54889..83d930da 100644
--- a/datasets/eeg_ds003645s_hed_demo/dataset_description.json
+++ b/datasets/eeg_ds003645s_hed_demo/dataset_description.json
@@ -1,27 +1,27 @@
-{
- "Name": "Face processing MEEG dataset with HED annotation",
- "BIDSVersion": "1.9.0",
- "HEDVersion": "8.2.0",
- "License": "CC0",
- "Authors": [
- "Daniel G. Wakeman",
- "Richard N Henson",
- "Dung Truong (curation)",
- "Kay Robbins (curation)",
- "Scott Makeig (curation)",
- "Arno Delorme (curation)"
- ],
- "ReferencesAndLinks": [
- "Wakeman, D., Henson, R. (2015). A multi-subject, multi-modal human neuroimaging dataset. Sci Data 2, 150001. https://doi.org/10.1038/sdata.2015.1",
- "Robbins, K., Truong, D., Appelhoff, S., Delorme, A., & Makeig, S. (2021). Capturing the nature of events and event context using Hierarchical Event Descriptors (HED). In press for NeuroImage Special Issue Practice in MEEG. NeuroImage 245 (2021) 118766. Online: https://www.sciencedirect.com/science/article/pii/S1053811921010387.",
- "Robbins, K., Truong, D., Jones, A., Callanan, I., & Makeig, S. (2021). Building FAIR functionality: Annotating events in time series data using Hierarchical Event Descriptors (HED). Neuroinformatics Special Issue Building the NeuroCommons. Neuroinformatics https://doi.org/10.1007/s12021-021-09537-4. Online: https://link.springer.com/article/10.1007/s12021-021-09537-4."
- ],
- "Funding": [
- "Experiment was supported by the UK Medical Research Council (MC_A060_5PR10) and Elekta Ltd.",
- "Curation was supported by: NIH R01 EB023297-03, NIH R01 NS047293-l4, NIH R24 MH120037-01, and R01 MH126700-01A1."
- ],
- "DatasetDOI": "10.18112/openneuro.ds003645.v2.0.2",
- "EthicsApprovals": [
- "The study was approved by Cambridge University Psychological Ethics Committee. Written informed consent was obtained from each participant prior to and following each phase of the experiment."
- ]
+{
+ "Name": "Face processing MEEG dataset with HED annotation",
+ "BIDSVersion": "1.10.0",
+ "HEDVersion": "8.3.0",
+ "License": "CC0",
+ "Authors": [
+ "Daniel G. Wakeman",
+ "Richard N Henson",
+ "Dung Truong (curation)",
+ "Kay Robbins (curation)",
+ "Scott Makeig (curation)",
+ "Arno Delorme (curation)"
+ ],
+ "ReferencesAndLinks": [
+ "Wakeman, D., Henson, R. (2015). A multi-subject, multi-modal human neuroimaging dataset. Sci Data 2, 150001. https://doi.org/10.1038/sdata.2015.1",
+ "Robbins, K., Truong, D., Appelhoff, S., Delorme, A., & Makeig, S. (2021). Capturing the nature of events and event context using Hierarchical Event Descriptors (HED). In press for NeuroImage Special Issue Practice in MEEG. NeuroImage 245 (2021) 118766. Online: https://www.sciencedirect.com/science/article/pii/S1053811921010387.",
+ "Robbins, K., Truong, D., Jones, A., Callanan, I., & Makeig, S. (2021). Building FAIR functionality: Annotating events in time series data using Hierarchical Event Descriptors (HED). Neuroinformatics Special Issue Building the NeuroCommons. Neuroinformatics https://doi.org/10.1007/s12021-021-09537-4. Online: https://link.springer.com/article/10.1007/s12021-021-09537-4."
+ ],
+ "Funding": [
+ "Experiment was supported by the UK Medical Research Council (MC_A060_5PR10) and Elekta Ltd.",
+ "Curation was supported by: NIH R01 EB023297-03, NIH R01 NS047293-l4, NIH R24 MH120037-01, and R01 MH126700-01A1."
+ ],
+ "DatasetDOI": "10.18112/openneuro.ds003645.v2.0.2",
+ "EthicsApprovals": [
+ "The study was approved by Cambridge University Psychological Ethics Committee. Written informed consent was obtained from each participant prior to and following each phase of the experiment."
+ ]
}
\ No newline at end of file
diff --git a/datasets/eeg_ds003645s_hed_library/dataset_description.json b/datasets/eeg_ds003645s_hed_library/dataset_description.json
index 0a9809ab..f6cb80f0 100644
--- a/datasets/eeg_ds003645s_hed_library/dataset_description.json
+++ b/datasets/eeg_ds003645s_hed_library/dataset_description.json
@@ -1,27 +1,27 @@
-{
- "Name": "Face processing MEEG dataset with HED annotation",
- "BIDSVersion": "1.9.0",
- "HEDVersion": ["8.2.0", "sc:score_1.0.0", "test:testlib_1.0.2"],
- "License": "CC0",
- "Authors": [
- "Daniel G. Wakeman",
- "Richard N Henson",
- "Dung Truong (curation)",
- "Kay Robbins (curation)",
- "Scott Makeig (curation)",
- "Arno Delorme (curation)"
- ],
- "ReferencesAndLinks": [
- "Wakeman, D., Henson, R. (2015). A multi-subject, multi-modal human neuroimaging dataset. Sci Data 2, 150001. https://doi.org/10.1038/sdata.2015.1",
- "Robbins, K., Truong, D., Appelhoff, S., Delorme, A., & Makeig, S. (2021). Capturing the nature of events and event context using Hierarchical Event Descriptors (HED). In press for NeuroImage Special Issue Practice in MEEG. NeuroImage 245 (2021) 118766. Online: https://www.sciencedirect.com/science/article/pii/S1053811921010387.",
- "Robbins, K., Truong, D., Jones, A., Callanan, I., & Makeig, S. (2021). Building FAIR functionality: Annotating events in time series data using Hierarchical Event Descriptors (HED). Neuroinformatics Special Issue Building the NeuroCommons. Neuroinformatics https://doi.org/10.1007/s12021-021-09537-4. Online: https://link.springer.com/article/10.1007/s12021-021-09537-4."
- ],
- "Funding": [
- "Experiment was supported by the UK Medical Research Council (MC_A060_5PR10) and Elekta Ltd.",
- "Curation was supported by: NIH R01 EB023297-03, NIH R01 NS047293-l4, NIH R24 MH120037-01, and R01 MH126700-01A1."
- ],
- "DatasetDOI": "10.18112/openneuro.ds003645.v2.0.2",
- "EthicsApprovals": [
- "The study was approved by Cambridge University Psychological Ethics Committee. Written informed consent was obtained from each participant prior to and following each phase of the experiment."
- ]
+{
+ "Name": "Face processing MEEG dataset with HED annotation",
+ "BIDSVersion": "1.10.0",
+ "HEDVersion": ["score_2.0.0", "test:testlib_1.0.2"],
+ "License": "CC0",
+ "Authors": [
+ "Daniel G. Wakeman",
+ "Richard N Henson",
+ "Dung Truong (curation)",
+ "Kay Robbins (curation)",
+ "Scott Makeig (curation)",
+ "Arno Delorme (curation)"
+ ],
+ "ReferencesAndLinks": [
+ "Wakeman, D., Henson, R. (2015). A multi-subject, multi-modal human neuroimaging dataset. Sci Data 2, 150001. https://doi.org/10.1038/sdata.2015.1",
+ "Robbins, K., Truong, D., Appelhoff, S., Delorme, A., & Makeig, S. (2021). Capturing the nature of events and event context using Hierarchical Event Descriptors (HED). In press for NeuroImage Special Issue Practice in MEEG. NeuroImage 245 (2021) 118766. Online: https://www.sciencedirect.com/science/article/pii/S1053811921010387.",
+ "Robbins, K., Truong, D., Jones, A., Callanan, I., & Makeig, S. (2021). Building FAIR functionality: Annotating events in time series data using Hierarchical Event Descriptors (HED). Neuroinformatics Special Issue Building the NeuroCommons. Neuroinformatics https://doi.org/10.1007/s12021-021-09537-4. Online: https://link.springer.com/article/10.1007/s12021-021-09537-4."
+ ],
+ "Funding": [
+ "Experiment was supported by the UK Medical Research Council (MC_A060_5PR10) and Elekta Ltd.",
+ "Curation was supported by: NIH R01 EB023297-03, NIH R01 NS047293-l4, NIH R24 MH120037-01, and R01 MH126700-01A1."
+ ],
+ "DatasetDOI": "10.18112/openneuro.ds003645.v2.0.2",
+ "EthicsApprovals": [
+ "The study was approved by Cambridge University Psychological Ethics Committee. Written informed consent was obtained from each participant prior to and following each phase of the experiment."
+ ]
}
\ No newline at end of file
diff --git a/datasets/eeg_ds003645s_hed_library/task-FacePerception_events.json b/datasets/eeg_ds003645s_hed_library/task-FacePerception_events.json
index cf670632..ebbe72de 100644
--- a/datasets/eeg_ds003645s_hed_library/task-FacePerception_events.json
+++ b/datasets/eeg_ds003645s_hed_library/task-FacePerception_events.json
@@ -25,12 +25,12 @@
"show_face": "Sensory-event, test:Experimental-stimulus, (Def/Face-image, Onset), (Def/Blink-inhibition-task,Onset),(Def/Cross-only, Offset)",
"show_face_initial": "Sensory-event, Experimental-stimulus, (Def/Face-image, Onset), (Def/Blink-inhibition-task,Onset), (Def/Fixation-task, Onset)",
"show_circle": "Sensory-event, (Intended-effect, Cue), (Def/Circle-only, Onset), (Def/Face-image, Offset), (Def/Blink-inhibition-task, Offset), (Def/Fixation-task, Offset)",
- "show_cross": "Sensory-event, (Intended-effect, Cue), (Def/Cross-only, Onset), (Def/Fixation-task, Onset), (Def/Circle-only, Offset), sc:Hyperventilation-refused-procedure/Could not comply",
+ "show_cross": "Sensory-event, (Intended-effect, Cue), (Def/Cross-only, Onset), (Def/Fixation-task, Onset), (Def/Circle-only, Offset), Hyperventilation-refused-procedure/Could not comply",
"left_press": "Agent-action, Participant-response, Def/Press-left-finger",
"right_press": "Agent-action, Participant-response, Def/Press-right-finger",
"setup_left_sym": "Experiment-structure, (Def/Left-sym-cond, Onset), (Def/Initialize-recording, Onset)",
"setup_right_sym": "Experiment-structure, (Def/Right-sym-cond, Onset), (Def/Initialize-recording, Onset)",
- "double_press": "Agent-action, Indeterminate-action, sc:Sleep-architecture, (Press, Keyboard-key)"
+ "double_press": "Agent-action, Indeterminate-action, Sleep-architecture, (Press, Keyboard-key)"
}
},
"face_type": {
@@ -64,7 +64,7 @@
},
"rep_lag": {
"Description": "How face images before this one was the image was previously presented.",
- "HED": "(Face, Item-interval/#), test:Informational-property, sc:Discontinuous-background-activity"
+ "HED": "(Face, Item-interval/#), test:Informational-property, Discontinuous-background-activity"
},
"stim_file": {
"Description": "Path of the stimulus file in the stimuli directory.",
@@ -73,7 +73,7 @@
"hed_def_sensory": {
"Description": "Metadata dictionary for gathering sensory definitions",
"HED": {
- "cross_only_def": "(Definition/Cross-only, (Visual-presentation, (Foreground-view, (White, Cross), (Center-of, Computer-screen)), sc:Sleep-architecture, (Background-view, Black), test:Cue, Description/A white fixation cross on a black background in the center of the screen.))",
+ "cross_only_def": "(Definition/Cross-only, (Visual-presentation, (Foreground-view, (White, Cross), (Center-of, Computer-screen)), Sleep-architecture, (Background-view, Black), test:Cue, Description/A white fixation cross on a black background in the center of the screen.))",
"face_image_def": "(Definition/Face-image, (Visual-presentation, (Foreground-view, ((Image, Face, Hair), Color/Grayscale), ((White, Cross), (Center-of, Computer-screen))), (Background-view, Black), Description/A happy or neutral face in frontal or three-quarters frontal pose with long hair cropped presented as an achromatic foreground image on a black background with a white fixation cross superposed.))",
"circle_only_def": "(Definition/Circle-only, (Visual-presentation, (Foreground-view, ((White, Circle), (Center-of, Computer-screen))), (Background-view, Black), Description/A white circle on a black background in the center of the screen.))"
}
diff --git a/datasets/eeg_ds003645s_hed_partnered/dataset_description.json b/datasets/eeg_ds003645s_hed_partnered/dataset_description.json
index 6844ca5a..f6cb80f0 100644
--- a/datasets/eeg_ds003645s_hed_partnered/dataset_description.json
+++ b/datasets/eeg_ds003645s_hed_partnered/dataset_description.json
@@ -1,27 +1,27 @@
-{
- "Name": "Face processing MEEG dataset with HED annotation",
- "BIDSVersion": "1.9.0",
- "HEDVersion": ["score_1.1.0", "test:testlib_1.0.2"],
- "License": "CC0",
- "Authors": [
- "Daniel G. Wakeman",
- "Richard N Henson",
- "Dung Truong (curation)",
- "Kay Robbins (curation)",
- "Scott Makeig (curation)",
- "Arno Delorme (curation)"
- ],
- "ReferencesAndLinks": [
- "Wakeman, D., Henson, R. (2015). A multi-subject, multi-modal human neuroimaging dataset. Sci Data 2, 150001. https://doi.org/10.1038/sdata.2015.1",
- "Robbins, K., Truong, D., Appelhoff, S., Delorme, A., & Makeig, S. (2021). Capturing the nature of events and event context using Hierarchical Event Descriptors (HED). In press for NeuroImage Special Issue Practice in MEEG. NeuroImage 245 (2021) 118766. Online: https://www.sciencedirect.com/science/article/pii/S1053811921010387.",
- "Robbins, K., Truong, D., Jones, A., Callanan, I., & Makeig, S. (2021). Building FAIR functionality: Annotating events in time series data using Hierarchical Event Descriptors (HED). Neuroinformatics Special Issue Building the NeuroCommons. Neuroinformatics https://doi.org/10.1007/s12021-021-09537-4. Online: https://link.springer.com/article/10.1007/s12021-021-09537-4."
- ],
- "Funding": [
- "Experiment was supported by the UK Medical Research Council (MC_A060_5PR10) and Elekta Ltd.",
- "Curation was supported by: NIH R01 EB023297-03, NIH R01 NS047293-l4, NIH R24 MH120037-01, and R01 MH126700-01A1."
- ],
- "DatasetDOI": "10.18112/openneuro.ds003645.v2.0.2",
- "EthicsApprovals": [
- "The study was approved by Cambridge University Psychological Ethics Committee. Written informed consent was obtained from each participant prior to and following each phase of the experiment."
- ]
+{
+ "Name": "Face processing MEEG dataset with HED annotation",
+ "BIDSVersion": "1.10.0",
+ "HEDVersion": ["score_2.0.0", "test:testlib_1.0.2"],
+ "License": "CC0",
+ "Authors": [
+ "Daniel G. Wakeman",
+ "Richard N Henson",
+ "Dung Truong (curation)",
+ "Kay Robbins (curation)",
+ "Scott Makeig (curation)",
+ "Arno Delorme (curation)"
+ ],
+ "ReferencesAndLinks": [
+ "Wakeman, D., Henson, R. (2015). A multi-subject, multi-modal human neuroimaging dataset. Sci Data 2, 150001. https://doi.org/10.1038/sdata.2015.1",
+ "Robbins, K., Truong, D., Appelhoff, S., Delorme, A., & Makeig, S. (2021). Capturing the nature of events and event context using Hierarchical Event Descriptors (HED). In press for NeuroImage Special Issue Practice in MEEG. NeuroImage 245 (2021) 118766. Online: https://www.sciencedirect.com/science/article/pii/S1053811921010387.",
+ "Robbins, K., Truong, D., Jones, A., Callanan, I., & Makeig, S. (2021). Building FAIR functionality: Annotating events in time series data using Hierarchical Event Descriptors (HED). Neuroinformatics Special Issue Building the NeuroCommons. Neuroinformatics https://doi.org/10.1007/s12021-021-09537-4. Online: https://link.springer.com/article/10.1007/s12021-021-09537-4."
+ ],
+ "Funding": [
+ "Experiment was supported by the UK Medical Research Council (MC_A060_5PR10) and Elekta Ltd.",
+ "Curation was supported by: NIH R01 EB023297-03, NIH R01 NS047293-l4, NIH R24 MH120037-01, and R01 MH126700-01A1."
+ ],
+ "DatasetDOI": "10.18112/openneuro.ds003645.v2.0.2",
+ "EthicsApprovals": [
+ "The study was approved by Cambridge University Psychological Ethics Committee. Written informed consent was obtained from each participant prior to and following each phase of the experiment."
+ ]
}
\ No newline at end of file
diff --git a/datasets/eeg_ds003645s_hed_remodel/dataset_description.json b/datasets/eeg_ds003645s_hed_remodel/dataset_description.json
index 791404ad..24efb6b8 100644
--- a/datasets/eeg_ds003645s_hed_remodel/dataset_description.json
+++ b/datasets/eeg_ds003645s_hed_remodel/dataset_description.json
@@ -1,27 +1,27 @@
-{
- "Name": "Face processing MEEG dataset with HED annotation",
- "BIDSVersion": "1.9.0",
- "HEDVersion": "8.2.0",
- "License": "CC0",
- "Authors": [
- "Daniel G. Wakeman",
- "Richard N Henson",
- "Dung Truong (curation)",
- "Kay Robbins (curation)",
- "Scott Makeig (curation)",
- "Arno Delorme (curation)"
- ],
- "ReferencesAndLinks": [
- "Wakeman, D., Henson, R. (2015). A multi-subject, multi-modal human neuroimaging dataset. Sci Data 2, 150001. https://doi.org/10.1038/sdata.2015.1",
- "Robbins, K., Truong, D., Appelhoff, S., Delorme, A., & Makeig, S. (2021). Capturing the nature of events and event context using Hierarchical Event Descriptors (HED). In press for NeuroImage Special Issue Practice in MEEG. NeuroImage 245 (2021) 118766. Online: https://www.sciencedirect.com/science/article/pii/S1053811921010387.",
- "Robbins, K., Truong, D., Jones, A., Callanan, I., & Makeig, S. (2021). Building FAIR functionality: Annotating events in time series data using Hierarchical Event Descriptors (HED). Neuroinformatics Special Issue Building the NeuroCommons. Neuroinformatics https://doi.org/10.1007/s12021-021-09537-4. Online: https://link.springer.com/article/10.1007/s12021-021-09537-4."
- ],
- "Funding": [
- "Experiment was supported by the UK Medical Research Council (MC_A060_5PR10) and Elekta Ltd.",
- "Curation was supported by: NIH R01 EB023297-03, NIH R01 NS047293-l4, NIH R24 MH120037-01, and R01 MH126700-01A1."
- ],
- "DatasetDOI": "10.18112/openneuro.ds003645.v2.0.2",
- "EthicsApprovals": [
- "The study was approved by Cambridge University Psychological Ethics Committee. Written informed consent was obtained from each participant prior to and following each phase of the experiment."
- ]
+{
+ "Name": "Face processing MEEG dataset with HED annotation",
+ "BIDSVersion": "1.10.0",
+ "HEDVersion": "8.3.0",
+ "License": "CC0",
+ "Authors": [
+ "Daniel G. Wakeman",
+ "Richard N Henson",
+ "Dung Truong (curation)",
+ "Kay Robbins (curation)",
+ "Scott Makeig (curation)",
+ "Arno Delorme (curation)"
+ ],
+ "ReferencesAndLinks": [
+ "Wakeman, D., Henson, R. (2015). A multi-subject, multi-modal human neuroimaging dataset. Sci Data 2, 150001. https://doi.org/10.1038/sdata.2015.1",
+ "Robbins, K., Truong, D., Appelhoff, S., Delorme, A., & Makeig, S. (2021). Capturing the nature of events and event context using Hierarchical Event Descriptors (HED). In press for NeuroImage Special Issue Practice in MEEG. NeuroImage 245 (2021) 118766. Online: https://www.sciencedirect.com/science/article/pii/S1053811921010387.",
+ "Robbins, K., Truong, D., Jones, A., Callanan, I., & Makeig, S. (2021). Building FAIR functionality: Annotating events in time series data using Hierarchical Event Descriptors (HED). Neuroinformatics Special Issue Building the NeuroCommons. Neuroinformatics https://doi.org/10.1007/s12021-021-09537-4. Online: https://link.springer.com/article/10.1007/s12021-021-09537-4."
+ ],
+ "Funding": [
+ "Experiment was supported by the UK Medical Research Council (MC_A060_5PR10) and Elekta Ltd.",
+ "Curation was supported by: NIH R01 EB023297-03, NIH R01 NS047293-l4, NIH R24 MH120037-01, and R01 MH126700-01A1."
+ ],
+ "DatasetDOI": "10.18112/openneuro.ds003645.v2.0.2",
+ "EthicsApprovals": [
+ "The study was approved by Cambridge University Psychological Ethics Committee. Written informed consent was obtained from each participant prior to and following each phase of the experiment."
+ ]
}
\ No newline at end of file
diff --git a/datasets/eeg_ds003645s_hed_remodel/derivatives/remodel/backups/test_backup/backup_lock.json b/datasets/eeg_ds003645s_hed_remodel/derivatives/remodel/backups/test_backup/backup_lock.json
new file mode 100644
index 00000000..3a58d2ca
--- /dev/null
+++ b/datasets/eeg_ds003645s_hed_remodel/derivatives/remodel/backups/test_backup/backup_lock.json
@@ -0,0 +1,8 @@
+{
+ "sub-002/eeg/sub-002_task-FacePerception_run-1_events.tsv": "2024-09-26 06:21:25.255253",
+ "sub-002/eeg/sub-002_task-FacePerception_run-2_events.tsv": "2024-09-26 06:21:25.255253",
+ "sub-002/eeg/sub-002_task-FacePerception_run-3_events.tsv": "2024-09-26 06:21:25.255253",
+ "sub-003/eeg/sub-003_task-FacePerception_run-1_events.tsv": "2024-09-26 06:21:25.255253",
+ "sub-003/eeg/sub-003_task-FacePerception_run-2_events.tsv": "2024-09-26 06:21:25.255253",
+ "sub-003/eeg/sub-003_task-FacePerception_run-3_events.tsv": "2024-09-26 06:21:25.255253"
+}
\ No newline at end of file
diff --git a/datasets/eeg_ds003645s_hed_remodel/derivatives/remodel/backups/test_backup/backup_root/sub-002/eeg/sub-002_task-FacePerception_run-1_events.tsv b/datasets/eeg_ds003645s_hed_remodel/derivatives/remodel/backups/test_backup/backup_root/sub-002/eeg/sub-002_task-FacePerception_run-1_events.tsv
new file mode 100644
index 00000000..24b41a36
--- /dev/null
+++ b/datasets/eeg_ds003645s_hed_remodel/derivatives/remodel/backups/test_backup/backup_root/sub-002/eeg/sub-002_task-FacePerception_run-1_events.tsv
@@ -0,0 +1,201 @@
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diff --git a/datasets/eeg_ds003645s_hed_remodel/derivatives/remodel/backups/test_backup/backup_root/sub-002/eeg/sub-002_task-FacePerception_run-2_events.tsv b/datasets/eeg_ds003645s_hed_remodel/derivatives/remodel/backups/test_backup/backup_root/sub-002/eeg/sub-002_task-FacePerception_run-2_events.tsv
new file mode 100644
index 00000000..23478a2c
--- /dev/null
+++ b/datasets/eeg_ds003645s_hed_remodel/derivatives/remodel/backups/test_backup/backup_root/sub-002/eeg/sub-002_task-FacePerception_run-2_events.tsv
@@ -0,0 +1,201 @@
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diff --git a/datasets/eeg_ds003645s_hed_remodel/derivatives/remodel/backups/test_backup/backup_root/sub-002/eeg/sub-002_task-FacePerception_run-3_events.tsv b/datasets/eeg_ds003645s_hed_remodel/derivatives/remodel/backups/test_backup/backup_root/sub-002/eeg/sub-002_task-FacePerception_run-3_events.tsv
new file mode 100644
index 00000000..4a44d02e
--- /dev/null
+++ b/datasets/eeg_ds003645s_hed_remodel/derivatives/remodel/backups/test_backup/backup_root/sub-002/eeg/sub-002_task-FacePerception_run-3_events.tsv
@@ -0,0 +1,201 @@
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diff --git a/datasets/eeg_ds003645s_hed_remodel/derivatives/remodel/backups/test_backup/backup_root/sub-003/eeg/sub-003_task-FacePerception_run-1_events.tsv b/datasets/eeg_ds003645s_hed_remodel/derivatives/remodel/backups/test_backup/backup_root/sub-003/eeg/sub-003_task-FacePerception_run-1_events.tsv
new file mode 100644
index 00000000..8ed95eba
--- /dev/null
+++ b/datasets/eeg_ds003645s_hed_remodel/derivatives/remodel/backups/test_backup/backup_root/sub-003/eeg/sub-003_task-FacePerception_run-1_events.tsv
@@ -0,0 +1,201 @@
+onset duration sample event_type face_type rep_status trial rep_lag value stim_file
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diff --git a/datasets/eeg_ds003645s_hed_remodel/derivatives/remodel/backups/test_backup/backup_root/sub-003/eeg/sub-003_task-FacePerception_run-2_events.tsv b/datasets/eeg_ds003645s_hed_remodel/derivatives/remodel/backups/test_backup/backup_root/sub-003/eeg/sub-003_task-FacePerception_run-2_events.tsv
new file mode 100644
index 00000000..6979cec6
--- /dev/null
+++ b/datasets/eeg_ds003645s_hed_remodel/derivatives/remodel/backups/test_backup/backup_root/sub-003/eeg/sub-003_task-FacePerception_run-2_events.tsv
@@ -0,0 +1,201 @@
+onset duration sample event_type face_type rep_status trial rep_lag value stim_file
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diff --git a/datasets/eeg_ds003645s_hed_remodel/derivatives/remodel/backups/test_backup/backup_root/sub-003/eeg/sub-003_task-FacePerception_run-3_events.tsv b/datasets/eeg_ds003645s_hed_remodel/derivatives/remodel/backups/test_backup/backup_root/sub-003/eeg/sub-003_task-FacePerception_run-3_events.tsv
new file mode 100644
index 00000000..82ddc4d9
--- /dev/null
+++ b/datasets/eeg_ds003645s_hed_remodel/derivatives/remodel/backups/test_backup/backup_root/sub-003/eeg/sub-003_task-FacePerception_run-3_events.tsv
@@ -0,0 +1,201 @@
+onset duration sample event_type face_type rep_status trial rep_lag value stim_file
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diff --git a/datasets/eeg_ds004105s_hed/dataset_description.json b/datasets/eeg_ds004105s_hed/dataset_description.json
index 91c354c0..ea76ed65 100644
--- a/datasets/eeg_ds004105s_hed/dataset_description.json
+++ b/datasets/eeg_ds004105s_hed/dataset_description.json
@@ -1,28 +1,28 @@
-{
- "Name": "BCIT Auditory Cueing",
- "BIDSVersion": "1.9.0",
- "HEDVersion": "8.2.0",
- "License": "CC0",
- "Authors": [
- "Javier Garcia (data)",
- "Justin Brooks (data)",
- "Scott Kerick (data)",
- "Tony Johnson (data and curation)",
- "Tim Mullen (data)",
- "Jean Vettel (data)",
- "Jonathan Touryan (curation)",
- "Kay Robbins (curation)"
- ],
- "Acknowledgments": "Tony Johnson and Mike Dunkel from DCS Corporation originally curated the data in ESS (EEG Study Schema) format. Kay Robbins, Joe Lambeth and Jonathan Balraj of the University of Texas at San Antonio performed further curation and placed this dataset in BIDS format. The experiments were performed at Teledyne Laboratories (Durham, NC) under contract with the US Army Research Laboratory. The study was reviewed and approved by the U.S. Army Human Research Protections Office (Protocol ARL 12-040) before the study began.",
- "HowToAcknowledge": "Garcia, J.O., Brooks, J., Kerick, S., Johnson, T., Mullen, T.R., Vettel, J.M., 2017. Estimating direction in brain-behavior interactions: Proactive and reactive brain states in driving. NeuroImage 150, 239-249, https://doi.org/10.1016/j.neuroimage.2017.02.057.",
- "Funding": [
- "This research was sponsored by the Army Research Laboratory and was accomplished under Cooperative Agreement Number W911NF-10-0-0002."
- ],
- "EthicsApprovals": ["U.S. Army Human Research Protections Office (Protocol ARL 12–040)"],
- "ReferencesAndLinks": [
- "Garcia, J.O., Brooks, J., Kerick, S., Johnson, T., Mullen, T.R., Vettel, J.M., 2017. Estimating direction in brain-behavior interactions: Proactive and reactive brain states in driving. NeuroImage 150, 239-249. https://doi.org/10.1016/j.neuroimage.2017.02.057.",
- "Bigdely-Shamlo, N., Touryan, J., Ojeda, A., Kothe, C., Mullen, T., Robbins, K., 2019. Automated EEG mega-analysis I: Spectral and amplitude characteristics across studies, NeuroImage, p. 116361, https://doi.org/10.1016/j.neuroimage.2019.116361",
- "Bigdely-Shamlo, N., Touryan, J., Ojeda, A., Kothe, C., Mullen, T., Robbins, K., 2019. Automated EEG mega-analysis II: Cognitive aspects of event related features, NeuroImage, p. 116054, https://doi.org/10.1016/j.neuroimage.2019.116054"
- ],
- "DatasetDOI": "doi:10.18112/openneuro.ds004105.v1.0.0"
+{
+ "Name": "BCIT Auditory Cueing",
+ "BIDSVersion": "1.10.0",
+ "HEDVersion": "8.3.0",
+ "License": "CC0",
+ "Authors": [
+ "Javier Garcia (data)",
+ "Justin Brooks (data)",
+ "Scott Kerick (data)",
+ "Tony Johnson (data and curation)",
+ "Tim Mullen (data)",
+ "Jean Vettel (data)",
+ "Jonathan Touryan (curation)",
+ "Kay Robbins (curation)"
+ ],
+ "Acknowledgments": "Tony Johnson and Mike Dunkel from DCS Corporation originally curated the data in ESS (EEG Study Schema) format. Kay Robbins, Joe Lambeth and Jonathan Balraj of the University of Texas at San Antonio performed further curation and placed this dataset in BIDS format. The experiments were performed at Teledyne Laboratories (Durham, NC) under contract with the US Army Research Laboratory. The study was reviewed and approved by the U.S. Army Human Research Protections Office (Protocol ARL 12-040) before the study began.",
+ "HowToAcknowledge": "Garcia, J.O., Brooks, J., Kerick, S., Johnson, T., Mullen, T.R., Vettel, J.M., 2017. Estimating direction in brain-behavior interactions: Proactive and reactive brain states in driving. NeuroImage 150, 239-249, https://doi.org/10.1016/j.neuroimage.2017.02.057.",
+ "Funding": [
+ "This research was sponsored by the Army Research Laboratory and was accomplished under Cooperative Agreement Number W911NF-10-0-0002."
+ ],
+ "EthicsApprovals": ["U.S. Army Human Research Protections Office (Protocol ARL 12–040)"],
+ "ReferencesAndLinks": [
+ "Garcia, J.O., Brooks, J., Kerick, S., Johnson, T., Mullen, T.R., Vettel, J.M., 2017. Estimating direction in brain-behavior interactions: Proactive and reactive brain states in driving. NeuroImage 150, 239-249. https://doi.org/10.1016/j.neuroimage.2017.02.057.",
+ "Bigdely-Shamlo, N., Touryan, J., Ojeda, A., Kothe, C., Mullen, T., Robbins, K., 2019. Automated EEG mega-analysis I: Spectral and amplitude characteristics across studies, NeuroImage, p. 116361, https://doi.org/10.1016/j.neuroimage.2019.116361",
+ "Bigdely-Shamlo, N., Touryan, J., Ojeda, A., Kothe, C., Mullen, T., Robbins, K., 2019. Automated EEG mega-analysis II: Cognitive aspects of event related features, NeuroImage, p. 116054, https://doi.org/10.1016/j.neuroimage.2019.116054"
+ ],
+ "DatasetDOI": "doi:10.18112/openneuro.ds004105.v1.0.0"
}
\ No newline at end of file
diff --git a/datasets/eeg_ds004106s_hed/dataset_description.json b/datasets/eeg_ds004106s_hed/dataset_description.json
index 6c29b56c..637c157d 100644
--- a/datasets/eeg_ds004106s_hed/dataset_description.json
+++ b/datasets/eeg_ds004106s_hed/dataset_description.json
@@ -1,7 +1,7 @@
{
"Name": "BCIT Advanced Guard Duty",
- "BIDSVersion": "1.9.0",
- "HEDVersion": "8.2.0",
+ "BIDSVersion": "1.10.0",
+ "HEDVersion": "8.3.0",
"License": "CC0",
"Authors": [
"Jonathan Touryan (data and curation)",
diff --git a/datasets/eeg_ds004117s_hed_sternberg/dataset_description.json b/datasets/eeg_ds004117s_hed_sternberg/dataset_description.json
index 78b06148..ee3d3012 100644
--- a/datasets/eeg_ds004117s_hed_sternberg/dataset_description.json
+++ b/datasets/eeg_ds004117s_hed_sternberg/dataset_description.json
@@ -1,21 +1,21 @@
-{
- "Name": "Sternberg Working Memory",
- "BIDSVersion": "1.9.0",
- "HEDVersion": "8.2.0",
- "License": "CC0",
- "Authors": [
- "Julie Onton (data)",
- "Scott Makeig (data and curation)",
- "Arnaud Delorme (data and curation)",
- "Dung Truong (curation)",
- "Kay Robbins (curation)"
- ],
- "ReferencesAndLinks": [
- "Onton, J., Delorme, A., and Makeig, S. (2005). Frontal midline EEG dynamics during working memory. Neuroimage 27, 241-356. https://doi.org/10.1016/j.neuroimage.2005.04.014."
- ],
- "Funding": [
- "National Institutes of Health NS047293",
- "Swartz Foundation"
- ],
- "HowToAcknowledge": "Cite this paper: https://pubmed.ncbi.nlm.nih.gov/15927487/ and consider including the following message: 'This data was obtained from the OpenNeuro database. Its accession number is ds00xxxx.'"
+{
+ "Name": "Sternberg Working Memory",
+ "BIDSVersion": "1.10.0",
+ "HEDVersion": "8.3.0",
+ "License": "CC0",
+ "Authors": [
+ "Julie Onton (data)",
+ "Scott Makeig (data and curation)",
+ "Arnaud Delorme (data and curation)",
+ "Dung Truong (curation)",
+ "Kay Robbins (curation)"
+ ],
+ "ReferencesAndLinks": [
+ "Onton, J., Delorme, A., and Makeig, S. (2005). Frontal midline EEG dynamics during working memory. Neuroimage 27, 241-356. https://doi.org/10.1016/j.neuroimage.2005.04.014."
+ ],
+ "Funding": [
+ "National Institutes of Health NS047293",
+ "Swartz Foundation"
+ ],
+ "HowToAcknowledge": "Cite this paper: https://pubmed.ncbi.nlm.nih.gov/15927487/ and consider including the following message: 'This data was obtained from the OpenNeuro database. Its accession number is ds00xxxx.'"
}
\ No newline at end of file
diff --git a/datasets/eeg_ds004117s_hed_sternberg/task-WorkingMemory_events.json b/datasets/eeg_ds004117s_hed_sternberg/task-WorkingMemory_events.json
index bc3cf655..9620e77d 100644
--- a/datasets/eeg_ds004117s_hed_sternberg/task-WorkingMemory_events.json
+++ b/datasets/eeg_ds004117s_hed_sternberg/task-WorkingMemory_events.json
@@ -59,11 +59,11 @@
},
"letter": {
"Description": "The character appearing on the screen",
- "HED": "(Character, Label/#)"
+ "HED": "(Character, ID/#)"
},
"memory_cond": {
"Description": "Number of letters that must be paid attention to or remembered.",
- "HED": "(Condition-variable/Items-to-memorize, Item-count, Target, Label/#)"
+ "HED": "(Condition-variable/Items-to-memorize, Item-count/#, Target)"
},
"sample": {
"Description": "Number of the sample taken in acquisition relative to EEG with first sample being 1."
diff --git a/datasets/fmri_ds002790s_hed_aomic/dataset_description.json b/datasets/fmri_ds002790s_hed_aomic/dataset_description.json
index f2f38d09..20804ab1 100644
--- a/datasets/fmri_ds002790s_hed_aomic/dataset_description.json
+++ b/datasets/fmri_ds002790s_hed_aomic/dataset_description.json
@@ -1,22 +1,22 @@
-{
- "Name": "AOMIC-PIOP2",
- "BIDSVersion": "1.9.0",
- "HEDVersion": "8.2.0",
- "License": "CC0",
- "Authors": [
- "Lukas Snoek",
- "Maite van der Miesen",
- "Andries van der Leij",
- "Tinka Beemsterboer",
- "Annemarie Eigenhuis",
- "Steven Scholte"
- ],
- "Acknowledgements": "We thank all research assistants and students who helped collecting the data of the three projects, Jasper Wijnen and Marco Teunisse for advice and guidance with respect to anonymization and GDPR-related concerns, and Jos Bloemers, Sennay Ghebeab, Adriaan Tuiten, Joram van Driel, Christian Olivers, Ilja Sligte, Sara Jahfari, Guido van Wingen, and Suzanne Oosterwijk for help with designing the paradigms, Marcus Spaan for technical support, and Franklin Feingold and Joe Wexler for help with uploading the datasets to Openneuro.",
- "HowToAcknowledge": "Snoek, L., van der Miesen, M.M., Beemsterboer, T., van der Leij, A., Eigenhuis, A., & Scholte, H.S. (in prep.). The Amsterdam Open MRI Collection, a set of multimodal MRI datasets for individual difference analyses.",
- "Funding": [],
- "ReferencesAndLinks": [
- "https://nilab-uva.github.io/AOMIC.github.io/",
- "https://github.com/NILAB-UvA/PIOP2"
- ],
- "DatasetDOI": "10.18112/openneuro.ds002790.v2.0.0"
+{
+ "Name": "AOMIC-PIOP2",
+ "BIDSVersion": "1.10.0",
+ "HEDVersion": "8.3.0",
+ "License": "CC0",
+ "Authors": [
+ "Lukas Snoek",
+ "Maite van der Miesen",
+ "Andries van der Leij",
+ "Tinka Beemsterboer",
+ "Annemarie Eigenhuis",
+ "Steven Scholte"
+ ],
+ "Acknowledgements": "We thank all research assistants and students who helped collecting the data of the three projects, Jasper Wijnen and Marco Teunisse for advice and guidance with respect to anonymization and GDPR-related concerns, and Jos Bloemers, Sennay Ghebeab, Adriaan Tuiten, Joram van Driel, Christian Olivers, Ilja Sligte, Sara Jahfari, Guido van Wingen, and Suzanne Oosterwijk for help with designing the paradigms, Marcus Spaan for technical support, and Franklin Feingold and Joe Wexler for help with uploading the datasets to Openneuro.",
+ "HowToAcknowledge": "Snoek, L., van der Miesen, M.M., Beemsterboer, T., van der Leij, A., Eigenhuis, A., & Scholte, H.S. (in prep.). The Amsterdam Open MRI Collection, a set of multimodal MRI datasets for individual difference analyses.",
+ "Funding": [],
+ "ReferencesAndLinks": [
+ "https://nilab-uva.github.io/AOMIC.github.io/",
+ "https://github.com/NILAB-UvA/PIOP2"
+ ],
+ "DatasetDOI": "10.18112/openneuro.ds002790.v2.0.0"
}
\ No newline at end of file
diff --git a/datasets/fmri_soccer21s_hed/dataset_description.json b/datasets/fmri_soccer21s_hed/dataset_description.json
index 33c5ec5e..5974d42f 100644
--- a/datasets/fmri_soccer21s_hed/dataset_description.json
+++ b/datasets/fmri_soccer21s_hed/dataset_description.json
@@ -1,26 +1,26 @@
-{
- "Name": "Soccer21",
- "GeneratedBy": [
- {
- "Name": "BIDScoin",
- "Version": "3.7.0",
- "CodeURL": "https://github.com/Donders-Institute/bidscoin"
- }
- ],
- "BIDSVersion": "1.9.0",
- "HEDVersion": "8.2.0",
- "DatasetType": "raw",
- "License": "Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)",
- "Authors": [
- "Fabio Richlan",
- "Jürgen Birklbauer",
- "Monique Denissen",
- "Mateusz Pawlik",
- "Martin Kronbichler",
- "Florian Hutzler"
- ],
- "HowToAcknowledge": "Please write to fabio.richlan@plus.ac.at for further information.",
- "EthicsApprovals": [
- "Ethical review committee of the Paris-Lodron-University of Salzburg"
- ]
-}
+{
+ "Name": "Soccer21",
+ "GeneratedBy": [
+ {
+ "Name": "BIDScoin",
+ "Version": "3.7.0",
+ "CodeURL": "https://github.com/Donders-Institute/bidscoin"
+ }
+ ],
+ "BIDSVersion": "1.10.0",
+ "HEDVersion": "8.3.0",
+ "DatasetType": "raw",
+ "License": "Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)",
+ "Authors": [
+ "Fabio Richlan",
+ "Jürgen Birklbauer",
+ "Monique Denissen",
+ "Mateusz Pawlik",
+ "Martin Kronbichler",
+ "Florian Hutzler"
+ ],
+ "HowToAcknowledge": "Please write to fabio.richlan@plus.ac.at for further information.",
+ "EthicsApprovals": [
+ "Ethical review committee of the Paris-Lodron-University of Salzburg"
+ ]
+}
diff --git a/src/jupyter_notebooks/bids/find_event_combinations.ipynb b/src/jupyter_notebooks/bids/find_event_combinations.ipynb
index 3943cbc3..ed065961 100644
--- a/src/jupyter_notebooks/bids/find_event_combinations.ipynb
+++ b/src/jupyter_notebooks/bids/find_event_combinations.ipynb
@@ -61,8 +61,8 @@
"metadata": {
"collapsed": false,
"ExecuteTime": {
- "end_time": "2024-06-15T16:02:17.144301Z",
- "start_time": "2024-06-15T16:02:14.364188Z"
+ "end_time": "2024-09-26T11:19:17.585166Z",
+ "start_time": "2024-09-26T11:19:15.001655Z"
}
},
"outputs": [
@@ -96,7 +96,7 @@
]
}
],
- "execution_count": 3
+ "execution_count": 2
}
],
"metadata": {
diff --git a/src/jupyter_notebooks/bids/merge_spreadsheet_into_sidecar.ipynb b/src/jupyter_notebooks/bids/merge_spreadsheet_into_sidecar.ipynb
index 887e0f7b..7aac525b 100644
--- a/src/jupyter_notebooks/bids/merge_spreadsheet_into_sidecar.ipynb
+++ b/src/jupyter_notebooks/bids/merge_spreadsheet_into_sidecar.ipynb
@@ -57,8 +57,8 @@
"metadata": {
"collapsed": false,
"ExecuteTime": {
- "end_time": "2024-06-15T16:03:32.787320Z",
- "start_time": "2024-06-15T16:03:32.760819Z"
+ "end_time": "2024-09-26T11:19:31.106197Z",
+ "start_time": "2024-09-26T11:19:29.608508Z"
}
},
"outputs": [
@@ -137,7 +137,7 @@
]
}
],
- "execution_count": 2
+ "execution_count": 1
}
],
"metadata": {
diff --git a/src/jupyter_notebooks/bids/sidecar_to_spreadsheet.ipynb b/src/jupyter_notebooks/bids/sidecar_to_spreadsheet.ipynb
index 017e8571..5b5e7e39 100644
--- a/src/jupyter_notebooks/bids/sidecar_to_spreadsheet.ipynb
+++ b/src/jupyter_notebooks/bids/sidecar_to_spreadsheet.ipynb
@@ -48,8 +48,8 @@
"name": "#%% Create a spreadsheet corresponding to a JSON sidecar and save it.\n"
},
"ExecuteTime": {
- "end_time": "2024-06-15T16:11:28.865510Z",
- "start_time": "2024-06-15T16:11:28.848888Z"
+ "end_time": "2024-09-26T11:19:51.584884Z",
+ "start_time": "2024-09-26T11:19:50.106320Z"
}
},
"outputs": [
@@ -96,7 +96,7 @@
]
}
],
- "execution_count": 3
+ "execution_count": 1
}
],
"metadata": {
diff --git a/src/jupyter_notebooks/bids/summarize_events.ipynb b/src/jupyter_notebooks/bids/summarize_events.ipynb
index 30c73c74..93de82ce 100644
--- a/src/jupyter_notebooks/bids/summarize_events.ipynb
+++ b/src/jupyter_notebooks/bids/summarize_events.ipynb
@@ -35,8 +35,8 @@
{
"metadata": {
"ExecuteTime": {
- "end_time": "2024-06-15T16:14:21.640014Z",
- "start_time": "2024-06-15T16:14:20.294996Z"
+ "end_time": "2024-09-26T11:20:04.561801Z",
+ "start_time": "2024-09-26T11:20:03.168288Z"
}
},
"cell_type": "code",
diff --git a/src/jupyter_notebooks/bids/validate_bids_dataset.ipynb b/src/jupyter_notebooks/bids/validate_bids_dataset.ipynb
index c9ced62a..fc5ecf9b 100644
--- a/src/jupyter_notebooks/bids/validate_bids_dataset.ipynb
+++ b/src/jupyter_notebooks/bids/validate_bids_dataset.ipynb
@@ -60,8 +60,8 @@
"metadata": {
"collapsed": false,
"ExecuteTime": {
- "end_time": "2024-06-15T16:15:15.994199Z",
- "start_time": "2024-06-15T16:15:10.086834Z"
+ "end_time": "2024-09-26T11:20:25.926126Z",
+ "start_time": "2024-09-26T11:20:20.711150Z"
}
},
"outputs": [
@@ -69,7 +69,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Using HEDTOOLS version: {'date': '2024-06-14T17:02:33-0500', 'dirty': False, 'error': None, 'full-revisionid': '940e75ddcedd5a14910098b60277413edc3c024e', 'version': '0.5.0'}\n",
+ "Using HEDTOOLS version: {'date': '2024-09-22T07:25:45-0500', 'dirty': False, 'error': None, 'full-revisionid': '5b99266536c785274c5d0d263914fe01160717ae', 'version': '0.5.0+109.g5b992665'}\n",
"Number of issues: 0\n",
"No HED validation errors\n"
]
diff --git a/src/jupyter_notebooks/bids/validate_bids_dataset_with_libraries.ipynb b/src/jupyter_notebooks/bids/validate_bids_dataset_with_libraries.ipynb
index 615b5429..a4a8403f 100644
--- a/src/jupyter_notebooks/bids/validate_bids_dataset_with_libraries.ipynb
+++ b/src/jupyter_notebooks/bids/validate_bids_dataset_with_libraries.ipynb
@@ -23,13 +23,12 @@
"\n",
"## Now validate URLs\n",
"print(\"\\nNow validating with schema URLs.\")\n",
- "base_version = '8.2.0'\n",
+ "base_version = '8.3.0'\n",
"library1_url = \"https://raw.githubusercontent.com/hed-standard/hed-schemas/main/\" + \\\n",
- " \"library_schemas/score/hedxml/HED_score_1.0.0.xml\"\n",
+ " \"library_schemas/score/hedxml/HED_score_2.0.0.xml\"\n",
"library2_url = \"https://raw.githubusercontent.com/hed-standard/hed-schemas/main/\" + \\\n",
" \"library_schemas/testlib/hedxml/HED_testlib_1.0.2.xml\"\n",
- "schema_list = [load_schema_version(xml_version=base_version),\n",
- " load_schema(library1_url, schema_namespace=\"sc\"),\n",
+ "schema_list = [load_schema(library1_url, schema_namespace=\"\"),\n",
" load_schema(library2_url, schema_namespace=\"test\")]\n",
"bids.schema = HedSchemaGroup(schema_list)\n",
"\n",
@@ -44,8 +43,8 @@
"metadata": {
"collapsed": false,
"ExecuteTime": {
- "end_time": "2024-06-15T16:15:49.216354Z",
- "start_time": "2024-06-15T16:15:42.541945Z"
+ "end_time": "2024-09-26T10:59:47.781758Z",
+ "start_time": "2024-09-26T10:59:43.417427Z"
}
},
"outputs": [
@@ -61,7 +60,7 @@
]
}
],
- "execution_count": 1
+ "execution_count": 2
},
{
"cell_type": "raw",
diff --git a/src/jupyter_notebooks/bids/validate_bids_datasets.ipynb b/src/jupyter_notebooks/bids/validate_bids_datasets.ipynb
index ba92a0ef..e3f9543a 100644
--- a/src/jupyter_notebooks/bids/validate_bids_datasets.ipynb
+++ b/src/jupyter_notebooks/bids/validate_bids_datasets.ipynb
@@ -70,8 +70,8 @@
"metadata": {
"collapsed": false,
"ExecuteTime": {
- "end_time": "2024-06-15T16:16:40.666531Z",
- "start_time": "2024-06-15T16:16:08.008717Z"
+ "end_time": "2024-09-26T11:00:33.328081Z",
+ "start_time": "2024-09-26T11:00:06.227910Z"
}
},
"outputs": [
@@ -79,7 +79,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Using HEDTOOLS version: {'date': '2024-06-14T17:02:33-0500', 'dirty': False, 'error': None, 'full-revisionid': '940e75ddcedd5a14910098b60277413edc3c024e', 'version': '0.5.0'}\n",
+ "Using HEDTOOLS version: {'date': '2024-09-22T07:25:45-0500', 'dirty': False, 'error': None, 'full-revisionid': '5b99266536c785274c5d0d263914fe01160717ae', 'version': '0.5.0+109.g5b992665'}\n",
"\n",
"Validating eeg_ds002893s_hed_attention_shift\n",
"No HED validation errors\n",
@@ -116,7 +116,7 @@
]
}
],
- "execution_count": 1
+ "execution_count": 2
}
],
"metadata": {
diff --git a/src/jupyter_notebooks/remodeling/run_remodel.ipynb b/src/jupyter_notebooks/remodeling/run_remodel.ipynb
index 2de204ce..6c6ffb98 100644
--- a/src/jupyter_notebooks/remodeling/run_remodel.ipynb
+++ b/src/jupyter_notebooks/remodeling/run_remodel.ipynb
@@ -48,8 +48,8 @@
"name": "#%% This removes all summaries from eeg_ds003645s_hed_remodel and then reruns.\n"
},
"ExecuteTime": {
- "end_time": "2024-06-15T16:20:24.831395Z",
- "start_time": "2024-06-15T16:20:22.979092Z"
+ "end_time": "2024-09-26T11:20:51.226004Z",
+ "start_time": "2024-09-26T11:20:49.689854Z"
}
},
"outputs": [
@@ -69,8 +69,8 @@
"metadata": {
"collapsed": false,
"ExecuteTime": {
- "end_time": "2024-06-15T16:20:24.847180Z",
- "start_time": "2024-06-15T16:20:24.837479Z"
+ "end_time": "2024-09-26T11:20:51.241800Z",
+ "start_time": "2024-09-26T11:20:51.229904Z"
}
},
"outputs": [],
diff --git a/src/jupyter_notebooks/remodeling/run_remodel_backup.ipynb b/src/jupyter_notebooks/remodeling/run_remodel_backup.ipynb
index caf3e23d..ec18ff5e 100644
--- a/src/jupyter_notebooks/remodeling/run_remodel_backup.ipynb
+++ b/src/jupyter_notebooks/remodeling/run_remodel_backup.ipynb
@@ -1,82 +1,82 @@
-{
- "cells": [
- {
- "cell_type": "markdown",
- "source": [
- "# Backup the event files in a dataset\n",
- "\n",
- "This notebook calls `run_remodel_backup(arglist)` with a list of parameters from the following table\n",
- "to back up the events in a dataset.\n",
- "\n",
- "| parameter | default | dest | other | meaning |\n",
- "|--------------------|------------------------------------------|-------------| ----- | ------- |\n",
- "| data_dir | | data_dir | | Full path of dataset root directory. |\n",
- "| -bd, --backup_dir | `[data_root]/derivatives/remodel/backups` | backup_dir | | Name of the default backup for remodeling. |\n",
- "| -bn, --backup_name | `default_back` | backup_name | | Name of the default backup for remodeling. |\n",
- "| -e, --extensions | ['.tsv'] | extensions | nargs=* |File extensions to allow in locating files.
A * indicates all files allowed. |\n",
- "| -f, --file-suffix | ['events'] | file_suffix | nargs=* | Filename suffix of files to be backed up.
A * indicates all files allowed. |\n",
- "| -t, --task-names | [] |task_names | nargs=* | The name of the task. |\n",
- "| -v, --verbose | | verbose |action=store_true | If present, output informative messages as computation progresses. | \n",
- "| -x, --exclude-dirs | [] | exclude_dirs | nargs=* | Directories names to exclude from search for files.
If omitted, no directories except the backup directory will be excluded.
Note data_dir/remodel/backup will always be excluded. |"
- ],
- "metadata": {
- "collapsed": false
- }
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Results will be found in derivatives/remodel/backups/test_backup relative to data_root\n"
- ]
- }
- ],
- "source": [
- "import os\n",
- "import hed.tools.remodeling.cli.run_remodel_backup as cli_backup\n",
- "\n",
- "data_root = os.path.realpath('../../../datasets/eeg_ds003645s_hed_remodel')\n",
- "backup_name = 'test_backup'\n",
- "arg_list = [data_root, '-bn', backup_name, '-x', 'derivatives', 'stimuli', 'code', 'sourcedata'\n",
- " '-f', 'events', '-e', '.tsv']\n",
- "cli_backup.main(arg_list)\n",
- "print(\"Results will be found in derivatives/remodel/backups/test_backup relative to data_root\")"
- ],
- "metadata": {
- "collapsed": false,
- "pycharm": {
- "name": "#%%\n"
- },
- "ExecuteTime": {
- "end_time": "2024-01-10T13:08:07.582640300Z",
- "start_time": "2024-01-10T13:08:07.530641100Z"
- }
- }
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 2
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython2",
- "version": "2.7.6"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "source": [
+ "# Backup the event files in a dataset\n",
+ "\n",
+ "This notebook calls `run_remodel_backup(arglist)` with a list of parameters from the following table\n",
+ "to back up the events in a dataset.\n",
+ "\n",
+ "| parameter | default | dest | other | meaning |\n",
+ "|--------------------|------------------------------------------|-------------| ----- | ------- |\n",
+ "| data_dir | | data_dir | | Full path of dataset root directory. |\n",
+ "| -bd, --backup_dir | `[data_root]/derivatives/remodel/backups` | backup_dir | | Name of the default backup for remodeling. |\n",
+ "| -bn, --backup_name | `default_back` | backup_name | | Name of the default backup for remodeling. |\n",
+ "| -e, --extensions | ['.tsv'] | extensions | nargs=* |File extensions to allow in locating files.
A * indicates all files allowed. |\n",
+ "| -f, --file-suffix | ['events'] | file_suffix | nargs=* | Filename suffix of files to be backed up.
A * indicates all files allowed. |\n",
+ "| -t, --task-names | [] |task_names | nargs=* | The name of the task. |\n",
+ "| -v, --verbose | | verbose |action=store_true | If present, output informative messages as computation progresses. | \n",
+ "| -x, --exclude-dirs | [] | exclude_dirs | nargs=* | Directories names to exclude from search for files.
If omitted, no directories except the backup directory will be excluded.
Note data_dir/remodel/backup will always be excluded. |"
+ ],
+ "metadata": {
+ "collapsed": false
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import os\n",
+ "import hed.tools.remodeling.cli.run_remodel_backup as cli_backup\n",
+ "\n",
+ "data_root = os.path.realpath('../../../datasets/eeg_ds003645s_hed_remodel')\n",
+ "backup_name = 'test_backup'\n",
+ "arg_list = [data_root, '-bn', backup_name, '-x', 'derivatives', 'stimuli', 'code', 'sourcedata'\n",
+ " '-f', 'events', '-e', '.tsv']\n",
+ "cli_backup.main(arg_list)\n",
+ "print(\"Results will be found in derivatives/remodel/backups/test_backup relative to data_root\")"
+ ],
+ "metadata": {
+ "collapsed": false,
+ "pycharm": {
+ "name": "#%%\n"
+ },
+ "ExecuteTime": {
+ "end_time": "2024-09-26T11:21:25.301612Z",
+ "start_time": "2024-09-26T11:21:23.866565Z"
+ }
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Results will be found in derivatives/remodel/backups/test_backup relative to data_root\n"
+ ]
+ }
+ ],
+ "execution_count": 1
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
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