A Wearable Exam Stress Dataset for Predicting Cognitive Performance in Real-World Settings 1.0.0

File: <base>/data/S2/midterm_2/EDA.csv (499,851 bytes)
1541859449.000000
4.000000
0.000000
0.002563
0.015377
0.016658
0.017940
0.016658
0.019221
0.016658
0.016658
0.019221
0.017940
0.017940
0.017940
0.019221
0.019221
0.016658
0.017940
0.017940
0.017940
0.017940
0.017940
0.017940
0.016658
0.019221
0.016658
0.019221
0.016658
0.017940
0.019221
0.017940
0.017940
0.017940
0.016658
0.019221
0.017940
0.019221
0.016658
0.017940
0.019221
0.017940
0.019221
0.017940
0.017940
0.017940
0.017940
0.017940
0.016658
0.019221
0.016658
0.019221
0.017940
0.016658
0.019221
0.017940
0.019221
0.019221
0.016658
0.019221
0.016658
0.017940
0.016658
0.017940
0.017940
0.016658
0.017940
0.016658
0.017940
0.017940
0.016658
0.019221
0.017940
0.019221
0.019221
0.017940
0.019221
0.017940
0.019221
0.017940
0.017940
0.019221
0.017940
0.017940
0.015377
0.019221
0.017940
0.017940
0.019221
0.016658
0.017940
0.017940
0.017940
0.019221
0.017940
0.019221
0.017940
0.017940
0.017940
0.017940
0.017940
0.017940
0.017940
0.019221
0.017940
0.017940
0.016658
0.019221
0.017940
0.017940
0.016658
0.019221
0.017940
0.017940
0.017940
0.020503
0.017940
0.017940
0.017940
0.016658
0.017940
0.017940
0.017940
0.019221
0.017940
0.017940
0.017940
0.016658
0.017940
0.017940
0.017940
0.017940
0.017940
0.016658
0.016658
0.019221
0.017940
0.017940
0.017940
0.017940
0.017940
0.016658
0.017940
0.016658
0.019221
0.019221
0.017940
0.017940
0.016658
0.017940
0.016658
0.016658
0.017940
0.016658
0.017940
0.016658
0.016658
0.017940
0.016658
0.020503
0.016658
0.016658
0.016658
0.016658
0.015377
0.016658
0.016658
0.017940
0.016658
0.016658
0.016658
0.015377
0.017940
0.016658
0.016658
0.016658
0.017940
0.017940
0.016658
0.016658
0.016658
0.016658
0.016658
0.016658
0.017940
0.015377
0.016658
0.015377
0.015377
0.017940
0.015377
0.016658
0.016658
0.016658
0.016658
0.016658
0.016658
0.016658
0.016658
0.016658
0.015377
0.016658
0.015377
0.017940
0.015377
0.015377
0.016658
0.015377
0.015377
0.015377
0.015377
0.016658
0.015377
0.016658
0.015377
0.014096
0.015377
0.015377
0.015377
0.015377
0.015377
0.015377
0.014096
0.015377
0.016658
0.016658
0.015377
0.014096
0.016658
0.015377
0.015377
0.016658
0.015377
0.015377
0.014096
0.016658
0.016658
0.015377
0.015377
0.015377
0.015377
0.015377
0.015377
0.014096
0.012814
0.015377
0.015377
0.016658
0.015377
0.015377
0.015377
0.015377
0.015377
0.015377
0.014096
0.016658
0.016658
0.015377
0.014096
0.014096
0.015377
0.016658
0.015377
0.015377
0.014096
0.015377
0.016658
0.015377
0.015377
0.015377
0.015377
0.015377
0.015377
0.015377
0.015377
0.014096
0.015377
0.015377
0.014096
0.015377
0.016658
0.016658
0.014096
0.016658
0.014096
0.015377
0.015377
0.014096
0.016658
0.016658
0.015377
0.017940
0.015377
0.015377
0.015377
0.016658
0.015377
0.014096
0.015377
0.014096
0.015377
0.015377
0.014096
0.015377
0.016658
0.015377
0.015377
0.015377
0.015377
0.015377
0.014096
0.015377
0.014096
0.015377
0.015377
0.015377
0.015377
0.015377
0.015377
0.015377
0.014096
0.015377
0.014096
0.015377
0.015377
0.014096
0.015377
0.017940
0.014096
0.015377
0.014096
0.015377
0.015377
0.015377
0.015377
0.016658
0.014096
0.016658
0.015377
0.014096
0.015377
0.015377
0.015377
0.015377
0.015377
0.015377
0.015377
0.015377
0.015377
0.016658
0.015377
0.016658
0.015377
0.014096
0.015377
0.015377
0.014096
0.016658
0.014096
0.015377
0.016658
0.014096
0.015377
0.014096
0.014096
0.015377
0.015377
0.015377
0.014096
0.015377
0.015377
0.015377
0.015377
0.014096
0.015377
0.016658
0.015377
0.015377
0.016658
0.016658
0.015377
0.015377
0.010251
0.012814
0.014096
0.014096
0.014096
0.014096
0.016658
0.014096
0.015377
0.016658
0.014096
0.015377
0.014096
0.015377
0.016658
0.014096
0.015377
0.014096
0.015377
0.015377
0.014096
0.012814
0.012814
0.015377
0.015377
0.014096
0.015377
0.014096
0.015377
0.015377
0.014096
0.014096
0.014096
0.014096
0.015377
0.014096
0.014096
0.015377
0.014096
0.015377
0.012814
0.016658
0.015377
0.014096
0.015377
0.012814
0.014096
0.015377
0.014096
0.015377
0.014096
0.015377
0.015377
0.014096
0.015377
0.014096
0.015377
0.015377
0.014096
0.015377
0.014096
0.015377
0.015377
0.015377
0.014096
0.014096
0.014096
0.014096
0.015377
0.015377
0.015377
0.014096
0.015377
0.014096
0.014096
0.014096
0.014096
0.015377
0.014096
0.015377
0.015377
0.015377
0.014096
0.014096
0.015377
0.016658
0.014096
0.014096
0.014096
0.016658
0.015377
0.014096
0.014096
0.015377
0.014096
0.015377
0.014096
0.014096
0.015377
0.014096
0.014096
0.014096
0.012814
0.015377
0.014096
0.015377
0.014096
0.015377
0.014096
0.012814
0.015377
0.014096
0.014096
0.015377
0.014096
0.012814
0.014096
0.015377
Only the first 500 rows are shown. Click here to download the complete file.