Dataset for 'Introducing memory grading scale for semantic long-term retention using resting state EEG functional connectivity'

Semantic long-term memory (LTM) store and retain concepts, facts and knowledge of external world, which we have learned. This dataset consists of 68 healthy participants resting states EEG data recorded with 128 channels EGI machine with 250 samples per second and re-referenced using REST techniques, along with a supporting file of responses recorded during long-term memory tests (Recall 1 after 30 minutes retention, Recall 2 after 2 months renteion, Recall 3 after 4 months retention, Recall 4 after 6 months retention) and fluid intelligence (Ravan's Advanced Progressive Matrices) test. In addition, participants' age is recorded in years.