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.

ECG (1000 hz)

Type	Frequency	Signals
Single-subject	1000 Hz	ECG

data = nk.data(dataset="ecg_1000hz")

ECG - pandas (3000 hz)

Type	Frequency	Signals
Single-subject	3000 Hz	ECG

data = nk.data(dataset="ecg_3000_pandas")

Event-related (4 events)

Type	Frequency	Signals
Single-subject with events	100 Hz	ECG, EDA, RSP, Photosensor

data = nk.data(dataset="bio_eventrelated_100hz")

• Used in the following docstrings:

  • bio_analyze()

  • ecg_analyze()

  • ecg_eventrelated()

  • ecg_rsa()

  • ecg_rsp()

  • eda_analyze()

  • eda_eventrelated()

  • eda_phasic()

  • epochs_create()

  • epochs_plot()

  • epochs_to_df()

  • rsp_analyze()

  • rsp_eventrelated()

  • signal_power()

• Used in the following examples:

  • Event-related Analysis

  • Analyze Respiratory Rate Variability (RRV)

Resting state (5 min)

Type	Frequency	Signals
Single-subject resting state	100 Hz	ECG, PPG, RSP

data = nk.data(dataset="bio_resting_5min_100hz")

• Used in the following docstrings:

  • bio_analyze()

  • ecg_analyze()

  • ecg_intervalrelated()

  • rsp_analyze()

  • rsp_intervalrelated()

• Used in the following examples:

  • Interval-related Analysis

Resting state (8 min)

Type	Frequency	Signals
Single-subject resting state	100 Hz	ECG, RSP, EDA, Photosensor

data = nk.data(dataset="bio_resting_8min_100hz")

• Used in the following docstrings:

  • eda_analyze()

  • eda_intervalrelated()