How we collect, process, and analyze near-death and out-of-body experience data
Near Death Experience Research Foundation
The world's largest collection of NDE accounts, established by Dr. Jeffrey Long. Each submission includes a detailed questionnaire with 100+ questions.
nderf.org →Out of Body Experience Research Foundation
Companion site to NDERF focusing on out-of-body experiences, including spontaneous, induced, and near-death OBEs.
oberf.org →After Death Communication Research Foundation
Documents after-death communications (ADCs), deathbed visions (DBVs), and nearing end-of-life experiences (NELEs). Coming soon to research dashboard.
adcrf.org →Research Dashboard: Currently analyzes NDE and OBE data from NDERF and OBERF
Time Period: 1960s to present
Geographic Coverage: Global, predominantly English-speaking countries
Each experience undergoes a multi-pass AI analysis using GPT-4o to extract structured data while preserving the integrity of the original narrative.
Citation: Greyson, B. (1983). The near-death experience scale: Construction, reliability, and validity. Journal of Nervous and Mental Disease, 171(6), 369-375.
We extract and categorize 20+ distinct elements commonly reported in NDEs and OBEs:
All experiences are self-reported and cannot be independently verified. Memory reconstruction and narrative interpretation may affect accuracy.
Experiencers who submit their accounts may differ systematically from those who don't. Positive experiences may be overrepresented.
AI-extracted data may contain errors or misinterpretations. Greyson scores are approximations based on narrative content, not direct questionnaires.
Data is predominantly from English-speaking Western countries. Cultural context influences how experiences are described and interpreted.
Noeticmap Research Database. (2025). Consciousness Research Insights: Statistical Analysis of Near-Death and Out-of-Body Experiences. Retrieved from https://noeticmap.com/research
Please also cite the original data sources (NDERF, OBERF, ADCRF) when using this data for academic research.
Questions about our methodology or interested in collaboration?
Contact Us →