All the lectures
	
  import h5py

  filename = "dataset.h5"
  token = "0_0_4_6_11_9_11_4_10_8_8_0_"
  data_type = "points" # image, points

  entry = "{}{}".format(token,data_type)

  with h5py.File(filename, "r") as f:
    # List all groups
    #print("Keys: %s" % f.keys())
    #a_group_key = list(f.keys())[0]

    # Get the data
    data = list(f[entry])
    print(data)
  
	
Files:
All files in zip folders per participant's session
```
└- sub- : data recording folder
  └- eeg : data recording subfolder by modality
    └- sub-_space-CapTrak_coordsystem.json : electrodes coordinate system
    └- sub-_space-CapTrak_electrodes.tsv : electrodes coordinates
    └- sub-_task-_channels.tsv : channels (electrodes) description
    └- sub-_task-_eeg.eeg : eeg data recording (*.eeg format)
    └─ sub-_task-_eeg.json : eeg data recording description
    └─ sub-_task-_eeg.vhdr : eeg data recording (*.vhdr format)
    └─ sub-_task-_eeg.vrmk : eeg data recording (*.vrmk format)
    └─ sub-_task-_events.tsv : stimulation events recording
  └─ sub-_scans.tsv : recording description, unused
└─ dataset_description.json : dataset basic description file
└─ participants.json : participant description file (*.json format)
└─ participants.tsv : participant description file (*.tsv format)
└─ README.json : participant dataset description
└─ References.txt : Citation refernces for EEG-BIDS imaging standards
```
  

COMING SOON