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eogdb
eogdb
 
 
fantasia
fantasia
 
 
gudb
gudb
 
 
lemon
lemon
 
 
ludb
ludb
 
 
mit_arrhythmia
mit_arrhythmia
 
 
mit_long-term
mit_long-term
 
 
mit_normal
mit_normal
 
 
mit_nst
mit_nst
 
 
ptb_xl
ptb_xl
 
 
rs_eeg_texas
rs_eeg_texas
 
 
srm_restingstate_eeg
srm_restingstate_eeg
 
 
testretest_restingstate_eeg
testretest_restingstate_eeg
 
 
README.rst
README.rst
 
 
acqnowledge.acq
acqnowledge.acq
 
 
bio_eventrelated_100hz.csv
bio_eventrelated_100hz.csv
 
 
bio_resting_5min_100hz.csv
bio_resting_5min_100hz.csv
 
 
bio_resting_8min_100hz.csv
bio_resting_8min_100hz.csv
 
 
bio_resting_8min_200hz.json
bio_resting_8min_200hz.json
 
 
ecg_1000hz.csv
ecg_1000hz.csv
 
 
ecg_3000hz.csv
ecg_3000hz.csv
 
 
eeg.txt
eeg.txt
 
 
eeg_1min_200hz.pickle
eeg_1min_200hz.pickle
 
 
eeg_1min_200hz.py
eeg_1min_200hz.py
 
 
eeg_resting_8min.py
eeg_resting_8min.py
 
 
eeg_resting_8min_300hz.fif
eeg_resting_8min_300hz.fif
 
 
eog_100hz.csv
eog_100hz.csv
 
 
eog_200hz.csv
eog_200hz.csv
 
 
rsp_1000hz.txt
rsp_1000hz.txt
 
 

README.rst

Datasets

NeuroKit includes datasets that can be used for testing. These datasets are not downloaded automatically with the package (to avoid increasing its weight), but can be downloaded via the nk.data() function.