Journal: Data in Brief

Article Title: Physiological responses to emotional video stimuli: ECG, EDA, and temperature data

doi: 10.1016/j.dib.2026.112720

Figure Lengend Snippet: BITalino (r)evolution biosignal acquisition board.

Article Snippet: Data collection , Data collection was performed using BITalino (r)evolution boards (PLUX Wireless Biosignals, S.A.), which recorded ECG, EDA, skin temperature, and accelerometer signals. Participants wore the NK-G04E-VR Virtual Reality Glasses during the experiment to view 18 emotionally evocative videos designed to elicit a range of emotions. Data were captured at a 1000 Hz sampling rate and stored with timestamps. Demographic data (age, gender, health conditions) were also collected. Participants were healthy adults, and those with neurological disorders were excluded. No data normalization was applied..

Techniques:

Journal: Data in Brief

Article Title: Physiological responses to emotional video stimuli: ECG, EDA, and temperature data

doi: 10.1016/j.dib.2026.112720

Figure Lengend Snippet: Mobile application (BitalinoScientiSST) interface used during data acquisition. (a) The main acquisition screen is used to start and stop recording after the participant ID is entered. (b) The Bluetooth device discovery and pairing screen is used to connect the BITalino device. (c) New-segment action used immediately before each video stimulus to split the session into stimulus-aligned recordings. (d) Example of the acquisition screen after creating a new segment for the next stimulus. Pressing New creates a new output file bitalino_n.txt ( n = 1 to 18), with one file per video clip, matching the file organisation described in the Data Description section.

Article Snippet: Data collection , Data collection was performed using BITalino (r)evolution boards (PLUX Wireless Biosignals, S.A.), which recorded ECG, EDA, skin temperature, and accelerometer signals. Participants wore the NK-G04E-VR Virtual Reality Glasses during the experiment to view 18 emotionally evocative videos designed to elicit a range of emotions. Data were captured at a 1000 Hz sampling rate and stored with timestamps. Demographic data (age, gender, health conditions) were also collected. Participants were healthy adults, and those with neurological disorders were excluded. No data normalization was applied..

Techniques: