Title: Ear-SAAD dataset: A Simultaneous Scalp, Around-Ear, and In-Ear EEG Dataset for Selective Auditory Attention Decoding Description: This dataset accompanies the publication:Geirnaert S., Kappel S. L., Kidmose P., "A Direct Comparison of Simultaneously Recorded Scalp, Around-Ear, and In-Ear EEG for Neural Selective Auditory Attention Decoding to Speech," Scientific Reports, 2025. Please cite this paper and this Zenodo-dataset when using this dataset. The Ear-SAAD dataset was designed to benchmark selective auditory attention decoding (AAD) performance across three EEG modalities: scalp EEG (29 channels + 3 EOG channels), around-the-ear EEG (19 channels), and in-ear EEG (12 channels). The goal is to support the development of neuro-steered hearing devices by comparing the decoding accuracy and signal quality of wearable EEG solutions against conventional scalp recordings. Fifteen normal-hearing participants were recorded while attending to one of two simultaneously presented speech streams (simulated at ±60° using HRTFs), delivered via insertphones. Visual conditions (crosshair or video of the attended speaker) were balanced across trials. EEG was recorded for 60 minutes per participant using 6 10-min trials. The Danish speech stimuli consisted of lectures for high-school students from professors at Aarhus University. This dataset was recorded at the Center for Ear-EEG, Department of Electrical and Computer Engineering, Aarhus University, in June 2024. Dataset contents: BIDS-compliant version of the raw dataset including EEG, events, and metadata (bids_dataset) Preprocessed dataset used in the accompanying publication (preprocessedData) A MATLAB-script that performs all preprocessing steps to go from the BIDS-compliant dataset to the preprocessed data (perprocessFromBids). Note that the output of this script might slightly differ from the provided proprocessed files due to a difference in ordering of cutting and filtering. This script can be used as an example of how to extract the different trials from the BIDS dataset. An experiment manual, giving more details about the experiment and the applied procedures. Citation:Geirnaert S., Kappel S. L., Kidmose P., "A Direct Comparison of Simultaneously Recorded Scalp, Around-Ear, and In-Ear EEG for Neural Selective Auditory Attention Decoding to Speech," Scientific Reports, 2025.