Here you will find all the resources published by our department that are available for download. We encourage you to use, adapt, and cite the materials provided in your research, teaching, and studies. We particularly welcome your feedback and look forward to seeing these materials actively used in academic papers and student projects.
DiaData: A Multi-Modal, Integrated Time-Series Dataset for Type 1 Diabetes Research
“Unlock Type 1 diabetes insights with DiaData, the first large-scale integrated CGM dataset linking real-world glucose patterns to high-impact applications.“
DiaData is the first large-scale integrated CGM dataset for Type 1 diabetes research, combining 13 datasets and glucose measurements from 1720 individuals with T1D across diverse age groups. CGM values are recorded at 5-minute intervals, with additional 15-minute resampled versions provided. The main database (MDB) contains CGM measurements for all 1720 participants. From this, three subsets are extracted: Subdatabase I includes CGM data and demographics, Subdatabase II includes CGM and heart rate data, while Subdatabase III includes CGM data and personal features of sex, age, race, height, weight, age of diagnosis, and HbA1c values.
ARACHNE: An Open Multimodal Dataset of Physiological, Behavioral, and Subjective Anxiety Responses for Spider Phobia
“Understanding Fear Through Physiology, Behavior, and Virtual Reality.“
This dataset contains multimodal physiological, behavioral, and subjective data collected from individuals with spider phobia during real-world and virtual reality Behavioural Avoidance Tasks (BATs). It includes continuous recordings of cardiac activity, electrodermal activity, temperature, and movement, alongside subjective anxiety ratings and contextual information. The dataset is suitable for research in anxiety assessment, affective computing, emotion recognition, digital biomarkers, and machine learning applications in mental health.
Letzte Änderung: 16. June 2026