Datasets:
ciaochris
/
neuro2-neuroscience-datasets

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24.4k
dataset:bnci-001-2014
BNCI Horizon 2020 dataset 001-2014
bnci
http://bnci-horizon-2020.eu/database/data-sets/001-2014/
null
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human
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dataset:bnci-001-2015
BNCI Horizon 2020 dataset 001-2015
bnci
http://bnci-horizon-2020.eu/database/data-sets/001-2015/
null
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dataset:bnci-001-2016
BNCI Horizon 2020 dataset 001-2016
bnci
http://bnci-horizon-2020.eu/database/data-sets/001-2016/
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dataset:bnci-001-2017
BNCI Horizon 2020 dataset 001-2017
bnci
http://bnci-horizon-2020.eu/database/data-sets/001-2017/
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dataset:bnci-001-2019
BNCI Horizon 2020 dataset 001-2019
bnci
http://bnci-horizon-2020.eu/database/data-sets/001-2019/
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dataset:bnci-001-2020
BNCI Horizon 2020 dataset 001-2020
bnci
http://bnci-horizon-2020.eu/database/data-sets/001-2020/
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dataset:bnci-001-2022
BNCI Horizon 2020 dataset 001-2022
bnci
http://bnci-horizon-2020.eu/database/data-sets/001-2022/
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dataset:bnci-001-2024
BNCI Horizon 2020 dataset 001-2024
bnci
http://bnci-horizon-2020.eu/database/data-sets/001-2024/
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dataset:bnci-001-2025
BNCI Horizon 2020 dataset 001-2025
bnci
http://bnci-horizon-2020.eu/database/data-sets/001-2025/
null
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dataset:bnci-002-2014
BNCI Horizon 2020 dataset 002-2014
bnci
http://bnci-horizon-2020.eu/database/data-sets/002-2014/
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dataset:bnci-002-2015
BNCI Horizon 2020 dataset 002-2015
bnci
http://bnci-horizon-2020.eu/database/data-sets/002-2015/
null
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dataset:bnci-002-2020
BNCI Horizon 2020 dataset 002-2020
bnci
http://bnci-horizon-2020.eu/database/data-sets/002-2020/
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dataset:bnci-002-2025
BNCI Horizon 2020 dataset 002-2025
bnci
http://bnci-horizon-2020.eu/database/data-sets/002-2025/
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dataset:bnci-003-2014
BNCI Horizon 2020 dataset 003-2014
bnci
http://bnci-horizon-2020.eu/database/data-sets/003-2014/
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dataset:bnci-003-2015
BNCI Horizon 2020 dataset 003-2015
bnci
http://bnci-horizon-2020.eu/database/data-sets/003-2015/
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dataset:bnci-004-2014
BNCI Horizon 2020 dataset 004-2014
bnci
http://bnci-horizon-2020.eu/database/data-sets/004-2014/
null
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dataset:bnci-004-2015
BNCI Horizon 2020 dataset 004-2015
bnci
http://bnci-horizon-2020.eu/database/data-sets/004-2015/
null
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dataset:bnci-005-2014
BNCI Horizon 2020 dataset 005-2014
bnci
http://bnci-horizon-2020.eu/database/data-sets/005-2014/
null
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dataset:bnci-006-2014
BNCI Horizon 2020 dataset 006-2014
bnci
http://bnci-horizon-2020.eu/database/data-sets/006-2014/
null
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dataset:bnci-007-2014
BNCI Horizon 2020 dataset 007-2014
bnci
http://bnci-horizon-2020.eu/database/data-sets/007-2014/
null
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dataset:bnci-008-2014
BNCI Horizon 2020 dataset 008-2014
bnci
http://bnci-horizon-2020.eu/database/data-sets/008-2014/
null
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dataset:bnci-009-2014
BNCI Horizon 2020 dataset 009-2014
bnci
http://bnci-horizon-2020.eu/database/data-sets/009-2014/
null
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dataset:bnci-011-2015
BNCI Horizon 2020 dataset 011-2015
bnci
http://bnci-horizon-2020.eu/database/data-sets/011-2015/
null
null
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dataset:bnci-013-2015
BNCI Horizon 2020 dataset 013-2015
bnci
http://bnci-horizon-2020.eu/database/data-sets/013-2015/
null
null
human
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dataset:conp-1000GenomesProject
1000 Genomes Project
conp
https://github.com/conpdatasets/1000GenomesProject
null
null
human
null
null
0
0
null
0
0
null
n/a
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[ "signals" ]
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dataset:conp-3-step_CPCA
3-step CPCA
conp
https://github.com/conp-bot/conp-dataset-3-step_CPCA
null
null
human
null
null
0
0
null
0
0
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dataset:conp-A_database_of_the_healthy_human_spinal_cord_morphometry_in_the_PAM50_template_space
A database of the healthy human spinal cord morphometry in the PAM50 template space
conp
https://github.com/conp-bot/conp-dataset-A-database-of-the-healthy-human-spinal-cord-morphometry-in-the-PAM50-template-space
null
null
human
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null
0
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dataset:conp-A_steady_state_visual_evoked_potential__SSVEP__based_BCI_dataset_in_children_and_adolescents
A steady-state visual evoked potential (SSVEP)-based BCI dataset in children and adolescents
conp
https://github.com/conp-bot/conp-dataset-A-steady-state-visual-evoked-potential-SSVEP-based-BCI-dataset-in-children-and-adoles
null
null
human
null
null
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dataset:conp-AdolescentBrainDevelopment
Adolescent Brain Development
conp
https://github.com/conpdatasets/AdolescentBrainDevelopment
null
null
human
null
null
0
0
null
0
0
null
n/a
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[ "mri" ]
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dataset:conp-An_interactive_meta_analysis_of_MRI_biomarkers_of_myelin
An interactive meta-analysis of MRI biomarkers of myelin
conp
https://github.com/conp-bot/conp-dataset-An-interactive-meta-analysis-of-MRI-biomarkers-of-myelin
null
null
human
null
null
0
0
null
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dataset:conp-BigBrain
BigBrain dataset
conp
https://github.com/conpdatasets/bigbrain-datalad
null
null
human
null
null
0
0
null
0
0
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dataset:conp-BigBrain_3DClassifiedVolumes
BigBrain dataset - 3D Classified Volumes (derived dataset)
conp
https://github.com/conpdatasets/BigBrain_3DClassifiedVolumes
null
null
human
null
null
0
0
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dataset:conp-BigBrain_3DROIs
BigBrain dataset - 3D ROIs (derived dataset)
conp
https://github.com/conpdatasets/BigBrain_3DROIs
null
null
human
null
null
0
0
null
0
0
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dataset:conp-BigBrain_3DSurfaces
BigBrain dataset - 3D Surfaces (derived dataset)
conp
https://github.com/conpdatasets/BigBrain_3DSurfaces
null
null
human
null
null
0
0
null
0
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{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-BigBrain_A3D
BigBrain dataset - A3D (derived dataset)
conp
https://github.com/conpdatasets/BigBrain_A3D
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-BigBrain_BigBrainWarp_Support
BigBrain dataset - BigBrainWarp Support (derived dataset)
conp
https://github.com/conpdatasets/BigBrain_BigBrainWarp_Support
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-BigBrain_Hippocampus_Segmentation
BigBrain dataset - Hippocampus Segmentation (derived dataset)
conp
https://github.com/conpdatasets/BigBrain_Hippocampus_Segmentation
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-BigBrain_Layer_Segmentation
BigBrain dataset - Layer Segmentation (derived dataset)
conp
https://github.com/conpdatasets/BigBrain_Layer_Segmentation
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-BigBrain_MRISIM
BigBrain dataset - MRISIM (derived dataset)
conp
https://github.com/conpdatasets/BigBrain_MRISIM
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-BigBrain_Raw_Data
BigBrain dataset - Raw Data
conp
https://github.com/conpdatasets/BigBrain_Raw_Data
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-BigBrain_Surface_Parcellations
BigBrain dataset - Surface Parcellations (derived dataset)
conp
https://github.com/conpdatasets/BigBrain_Surface_Parcellations
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-Brainspan
BrainSpan: Atlas of the Developing Human Brain
conp
https://github.com/conpdatasets/Brainspan
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-CFMM_7T__MP2RAGE_T1_mapping
CFMM-7T: MP2RAGE T1 mapping
conp
https://github.com/conp-bot/conp-dataset-CFMM-7T-MP2RAGE-T1-mapping
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "mri" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-CHBMP
The Cuban Human Brain Mapping Project (EEG, MRI, and Cognition dataset)
conp
https://github.com/conpdatasets/CHBMP
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "eeg" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-CIMA-Q
Consortium pour l'identification précoce de la maladie d'Alzheimer - Québec (CIMA-Q)
conp
https://github.com/conpdatasets/CIMA-Q
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "eeg" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-Calgary-Preschool-MRI-Dataset
Calgary Preschool MRI Dataset
conp
https://github.com/CONP-PCNO/Calgary-Preschool-MRI-Dataset
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "mri" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-Comparing_Perturbation_Modes_for_Evaluating_Instabilities_in_Neuroimaging__Processed_NKI_RS_Subset__08_2019_
Comparing Perturbation Modes for Evaluating Instabilities in Neuroimaging: Processed NKI-RS Subset (08/2019)
conp
https://github.com/conp-bot/conp-dataset-Comparing-Perturbation-Modes-for-Evaluating-Instabilities-in-Neuroimaging-Processed-NK
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-Feasibility_of_high_resolution_perfusion_imaging_using_Arterial_Spin_Labelling_MRI_at_3_Tesla___Dataset
High-resolution Arterial Spin Labelling MRI
conp
https://github.com/conp-bot/conp-dataset-Feasibility-of-high-resolution-perfusion-imaging-using-Arterial-Spin-Labelling-MRI-at-3
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "mri" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-Intracellular_Recordings_of_Murine_Neocortical_Neurons
Intracellular Recordings of Murine Neocortical Neurons
conp
https://github.com/conp-bot/conp-dataset-Intracellular-Recordings-of-Murine-Neocortical-Neurons
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-Khanlab_BigBrainHippoUnfold
Hippocampal morphology and cytoarchitecture in the 3D BigBrain
conp
https://github.com/conpdatasets/BigBrainHippoUnfold
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-Khanlab_BigBrainMRICoreg
Accurate registration of the BigBrain dataset with the MNI PD25 and ICBM152 atlases
conp
https://github.com/conpdatasets/BigBrainMRICoreg
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "mri" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-Khanlab_HCPUR100-Template
HCPUR100: Healthy Adult human Brain Diffusion Template
conp
https://github.com/conpdatasets/HCPUR100-Template
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "mri" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-Learning_Naturalistic_Structure__Processed_fMRI_dataset
Learning Naturalistic Structure: Processed fMRI dataset
conp
https://github.com/conp-bot/conp-dataset-Learning_Naturalistic_Structure__Processed_fMRI_dataset
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "bold" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-Longitudinal_stability_of_brain_and_spinal_cord_quantitative_MRI_measures
Longitudinal stability of brain and spinal cord quantitative MRI measures
conp
https://github.com/conp-bot/conp-dataset-Longitudinal-stability-of-brain-and-spinal-cord-quantitative-MRI-measures
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-Longitudinal_structural_MRI_and_behavioural_data_for_mice_prenatally_exposed_to_maternal_immune_activation_either_early_or_late_in_gestation
Longitudinal structural MRI and behavioural data for mice prenatally exposed to maternal immune activation either early or late in gestation
conp
https://github.com/conp-bot/conp-dataset-Longitudinal-structural-MRI-and-behavioural-data-for-mice-prenatally-exposed-to-materna
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-MICA-PNI_Precision_NeuroImaging_and_Connectomics
MICA-PNI: Precision NeuroImaging and Connectomics
conp
https://github.com/conp-bot/conp-dataset-MICA-PNI_Precision_NeuroImaging_and_Connectomics
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-MRI_and_unbiased_averages_of_wild_muskrats__Ondatra_zibethicus__and_red_squirrels__Tamiasciurus_hudsonicus_
MRI and unbiased averages of wild muskrats (Ondatra zibethicus) and red squirrels (Tamiasciurus hudsonicus)
conp
https://github.com/conp-bot/conp-dataset-MRI_and_unbiased_averages_of_wild_muskrats__Ondatra_zibethicus__and_red_squirrels__Tami
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-MRI_data_for_Stress-inducible_phosphoprotein_1_HOP_STI1_STIP1_regulates_the_spre
MRI data for "Stress-inducible phosphoprotein 1 (HOP/STI1/STIP1) regulates the spreading, aggregation, and toxicity of α-synuclein in vivo"
conp
https://github.com/conp-bot/conp-dataset-MRI_data_for_Stress-inducible_phosphoprotein_1_HOP_STI1_STIP1_regul
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-Multi-model_functionalization_of_disease-associated_PTEN_missense_mutations
Multi-model functionalization of disease-associated PTEN missense mutations identifies multiple molecular mechanisms underlying protein dysfunction
conp
https://github.com/conpdatasets/Multi-model_functionalization_of_disease-associated_PTEN_missense_mutations
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-Multimodal_data_with_wide_field_GCaMP_imaging
Multimodal data with wide-field GCaMP imaging
conp
https://github.com/conp-bot/conp-dataset-Multimodal-data-with-wide-field-GCaMP-imaging
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-Neural_capacity_limits_on_the_responses_to_memory_interference_during_working_me
Neural capacity limits on the responses to memory interference during working memory in young and old adults
conp
https://github.com/conp-bot/conp-dataset-Neural_capacity_limits_on_the_responses_to_memory_interference_duri
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-Neurocon
Parkinson's Disease Datasets - Neurocon
conp
https://github.com/conpdatasets/Neurocon
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "mri" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-NiMARE_Neuroimaging_Meta-Analysis_Research_Environment
NiMARE: Neuroimaging Meta-Analysis Research Environment
conp
https://github.com/conp-bot/conp-dataset-NiMARE_Neuroimaging_Meta-Analysis_Research_Environment
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-Numerically_Perturbed_Structural_Connectomes_from_100_individuals_in_the_NKI_Rockland_Dataset
Numerically Perturbed Structural Connectomes from 100 individuals in the NKI Rockland Dataset
conp
https://github.com/conp-bot/conp-dataset-Numerically-Perturbed-Structural-Connectomes-from-100-individuals-in-the-NKI-Rockland-D
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-ONDRI_Parallel_pathways_for_language_processing_DR023
Ontario Neurodegenerative Disease Research Initiative (ONDRI): Parallel pathways for language processing: functional dissociation and compensation release
conp
https://github.com/CONP-PCNO/ONDRI_Parallel_pathways_for_language_processing_DR023
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "meg" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-Open_Access__The_Effect_of_Neurorehabilitation_on_Multiple_Sclerosis___Unlocking_the_Resting_State_fMRI_Data
The Effect of Neurorehabilitation on Multiple Sclerosis
conp
https://github.com/conp-bot/conp-dataset-Open-Access-The-Effect-of-Neurorehabilitation-on-Multiple-Sclerosis-Unlocking-the-Re
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "bold" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-PERFORM_Dataset__one_control_subject
PERFORM Dataset; one control subject
conp
https://github.com/conp-bot/conp-dataset-PERFORM-Dataset-one-control-subject
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "mri" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-Paper_is_not_enough__Crowdsourcing_the_T_sub_1__sub__mapping_common_ground_via_the_ISMRM_reproducibility_challenge
Paper is not enough: Crowdsourcing the T<sub>1</sub> mapping common ground via the ISMRM reproducibility challenge
conp
https://github.com/conp-bot/conp-dataset-Paper-is-not-enough-Crowdsourcing-the-T-sub-1-sub-mapping-common-ground-via-the-ISMR
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-Parcellating_the_parcellation_issue___a_proof_of_concept_for_reproducible_analyses_using_Neurolibre
Parcellating the parcellation issue - a proof of concept for reproducible analyses using Neurolibre
conp
https://github.com/conp-bot/conp-dataset-Parcellating-the-parcellation-issue---a-proof-of-concept-for-reproducible-analyses-usin
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-Participant_level_contrast_maps
Participant level contrast maps
conp
https://github.com/conp-bot/conp-dataset-Participant_level_contrast_maps
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-PiDose
PiDose
conp
https://github.com/conp-bot/conp-dataset-PiDose
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-Quantifying_Neural_Cognitive_Relationships_Across_the_Brain
Quantifying Neural-Cognitive Relationships Across the Brain
conp
https://github.com/conp-bot/conp-dataset-Quantifying-Neural-Cognitive-Relationships-Across-the-Brain
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-Quantitative_T1_MRI
Quantitative T1 MRI
conp
https://github.com/conp-bot/conp-dataset-Quantitative-T1-MRI
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-Relational_and_Item-Specific_Encoding__RISE_
Relational and Item-Specific Encoding (RISE)
conp
https://github.com/conp-bot/conp-dataset-Relational_and_Item-Specific_Encoding
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-Results_of_the_ISMRM_2020_joint_Reproducible_Research___Quantitative_MR_study_groups_reproducibility_challenge_on_phantom_and_human_brain_T_sub_1__sub__mapping
Results of the ISMRM 2020 joint Reproducible Research & Quantitative MR study groups reproducibility challenge on phantom and human brain T<sub>1</sub> mapping
conp
https://github.com/conp-bot/conp-dataset-Results-of-the-ISMRM-2020-joint-Reproducible-Research-Quantitative-MR-study-groups-re
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-Reusing-Neuro-Data
Sharing and reusing gene expression profiling data in neuroscience
conp
https://github.com/conpdatasets/Reusing-Neuro-Data
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-SIMON-dataset
SIMON
conp
https://github.com/conpdatasets/SIMON-dataset
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "mri" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-Synthetic_Animated_Mouse__SAM___University_of_British_Columbia__Datasets_and_3D_models
Synthetic Animated Mouse (SAM), University of British Columbia, Datasets and 3D-models
conp
https://github.com/conp-bot/conp-dataset-Synthetic-Animated-Mouse-SAM-University-of-British-Columbia-Datasets-and-3D-models
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-Systematic_phenomics_analysis_of_autism-associated_genes
Systematic phenomics analysis of autism-associated genes reveals parallel networks underlying reversible impairments in habituation
conp
https://github.com/conpdatasets/Systematic_phenomics_analysis_of_autism-associated_genes
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-Taowu
Parkinson's Disease Datasets - Taowu
conp
https://github.com/conpdatasets/Taowu
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "mri" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-VFA_T1_mapping___RTHawk__open__vs_Siemens__commercial_
VFA T1 mapping | RTHawk (open) vs Siemens (commercial)
conp
https://github.com/conp-bot/conp-dataset-VFA_T1_mapping___RTHawk__open__vs_Siemens__commercial_
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "mri" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-_Dataset__Analysis_code_for_the_paper__RF_shimming_in_the_cervical_spinal_cord_at_7T_
(Dataset) Analysis code for the paper "RF shimming in the cervical spinal cord at 7T"
conp
https://github.com/conp-bot/conp-dataset--Dataset-Analysis-code-for-the-paper-RF-shimming-in-the-cervical-spinal-cord-at-7T-
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-_Dataset__Computational_examples_of_software_for_white_matter_tractometry
(Dataset) Computational examples of software for white matter tractometry
conp
https://github.com/conp-bot/conp-dataset--Dataset-Computational-examples-of-software-for-white-matter-tractometry
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-_Dataset__Leveraging_Large_Language_Models_for_Interactive_Exploration_of_MRI_Research_Reproducibility__A_Self_Evolving_Review
(Dataset) Leveraging Large Language Models for Interactive Exploration of MRI Research Reproducibility: A Self-Evolving Review
conp
https://github.com/conp-bot/conp-dataset--Dataset-Leveraging-Large-Language-Models-for-Interactive-Exploration-of-MRI-Research-
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-_Dataset__Little_Science__Big_Science__and_Beyond__How_Amateurs_Shape_the_Scientific_Landscape
(Dataset) Little Science, Big Science, and Beyond: How Amateurs Shape the Scientific Landscape
conp
https://github.com/conp-bot/conp-dataset--Dataset-Little-Science-Big-Science-and-Beyond-How-Amateurs-Shape-the-Scientific-La
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-_Dataset__NeuroMOSAICS__A_collection_of_neurostimulation_datasets___Multi_scale_Open_Source_Across_Interfaces_Conditions___Species
(Dataset) NeuroMOSAICS: A collection of neurostimulation datasets - Multi-scale Open-Source Across Interfaces Conditions & Species
conp
https://github.com/conp-bot/conp-dataset--Dataset-NeuroMOSAICS-A-collection-of-neurostimulation-datasets---Multi-scale-Open-So
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-_Dataset__Parkinson_s_disease_in_the_spinal_cord__an_exploratory_study_to_establish_T2_w__MTR_and_diffusion_weighted_imaging_metric_values
(Dataset) Parkinson's disease in the spinal cord: an exploratory study to establish T2*w, MTR and diffusion-weighted imaging metric values
conp
https://github.com/conp-bot/conp-dataset--Dataset-Parkinson-s-disease-in-the-spinal-cord-an-exploratory-study-to-establish-T2-
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-_Dataset__Representation_in_Brain_Imaging_Research__A_Quebec_demographic_overview
(Dataset) Representation in Brain Imaging Research: A Quebec demographic overview
conp
https://github.com/conp-bot/conp-dataset--Dataset-Representation-in-Brain-Imaging-Research-A-Quebec-demographic-overview
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-algonauts_2025_competitors
CNeuroMod Algonauts 2025
conp
https://github.com/conpdatasets/algonauts_2025_competitors
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "eog" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-braincode_5P_Predicting_Persistent_Postconcussive_Problems_in_Pediatric
5P: Predicting Persistent Postconcussive Problems in Pediatrics
conp
https://github.com/conpdatasets/braincode_SP_Predicting_Persistent_Postconcussive_Problems_in_Pediatric
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-braincode_CAN-BIND_Biomarkers_for_Depression_Baseline_Data_Release
Integrated Biological Markers for the Prediction of Treatment Response in Depression: Data Release from the foundational study of the Canadian Biomarker Integration Network in Depression (CAN-BIND-01)
conp
https://github.com/conpdatasets/braincode_CAN-BIND_Biomarkers_for_Depression_Baseline_Data_Release
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "eeg" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-braincode_CONNECT_RECOVER
RECOVER: REaching patients with a COncussion Visiting the Emergency Room to enhance care
conp
https://github.com/CONP-PCNO/braincode_CONNECT_RECOVER
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "eeg" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-braincode_CP-NET
CP-NET: Hemi-NET Clinical Database Release
conp
https://github.com/CONP-PCNO/braincode_CP-NET
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-braincode_EpLink
EpUp Study: A Pilot Intervention for People with Epilepsy & Depression
conp
https://github.com/CONP-PCNO/braincode_EpLink
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-braincode_Epilepsy_Priority_Setting_Partnership
Epilepsy Priority Setting Partnership
conp
https://github.com/conpdatasets/braincode_Epilepsy_Priority_Setting_Partnership
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-braincode_Mouse_Image
High Resolution Magnetic Resonance Imaging of Mouse Model related to Autism
conp
https://github.com/conpdatasets/braincode_Mouse_Image
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "mri" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-braincode_NDD_Priority_Setting_Partnership
Neurodevelopmental Disorders Priority Setting Partnership
conp
https://github.com/conpdatasets/braincode_NDD_Priority_Setting_Partnership
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-braincode_ONDRI_Foundation_Study_Baseline_Data_Release
Ontario Neurodegenerative Disease Research Initiative (ONDRI): Foundational Study Longitudinal Data - Release 2.0
conp
https://github.com/conpdatasets/braincode_ONDRI_Foundation_Study_Baseline_Data_Release
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "motion" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-braincode_POND_Registry_Clinical_Data_Release
POND Registry Clinical Data Release
conp
https://github.com/conpdatasets/braincode_POND_Registry_Clinical_Data_Release
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "signals" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...
dataset:conp-braincode_POND_Registry_Imaging_Data_Release
POND Registry Imaging Data Release
conp
https://github.com/conpdatasets/braincode_POND_Registry_Imaging_Data_Release
null
null
human
null
null
0
0
null
0
0
null
n/a
null
null
[]
[ "meg" ]
[]
[]
[]
[]
null
{"abstract":null,"acquisition":{"fieldStrengths":[],"institutions":[],"manufacturers":[],"maxChannelCount":0,"models":[],"powerLineFrequencies":[],"recordingSeconds":0.0,"repetitionTimes":[],"samplingFrequencies":[],"sidecarCount":0},"authorAffiliations":{},"authorOrcids":{},"authors":[],"bidsVersion":"n/a","dataProces...