SpookLab™
An unanswered question in environmental science. A dataset not yet published.
Why do some locations generate repeated reports of perceptual anomaly across independent observers and across time?
Continuous, multi-modal environmental measurement in historic buildings. Sensor-calibrated and spatially mapped. Built for independent verification.
Unknown.
Not Inexplicable.
For centuries, across cultures and demographics, some historic places have generated repeated reports of unusual and disorienting experiences. These accounts do not constitute evidence of any mechanism. They define where we deploy and measure. Project Sentinel asks whether locations associated with elevated report rates differ from matched control locations in instrumented environmental measurements.
This study tests for statistical differences in multi-modal environmental measurements.
These locations are not inexplicable. They are unknown. Continuous, multi-modal environmental measurement has not previously been applied at this scale in historic buildings.
The primary research question has a stated null hypothesis: that no environmental variable or joint environmental structure differs between anomaly-report locations and matched controls beyond chance.
For Heritage & Property Managers
Continuous measurement supports early detection of conservation risks in historic buildings. Moisture ingress, electrical irregularities, structural movement, and airflow pathways can be identified as spatially located environmental changes over time, rather than isolated incidents.
Outputs are designed to be interpretable and actionable: time-series data, spatial context, and cross-sensor confirmation to support inspection, maintenance planning, and documentation.
The same system used for research produces data directly relevant to building care.
For Researchers
All measurements are collected using commercially available sensors, with calibration procedures recorded and retained as metadata. Datasets are structured for independent analysis, including raw sensor streams, spatial indexing, and calibration records.
The project does not embed conclusions in the data. It provides a measurable, reproducible environmental record that can be analysed under different statistical frameworks.
No finding depends on a single interpretive model.
We're building.
Multi-Modal Measurement
and Detection
The core scientific contribution is not any single sensor. It is continuous, spatially tagged, multi-modal measurement applied longitudinally in historic buildings. Operational event detection and confirmatory statistical inference are separated by design. No single sensor determines a scientific finding.
Conservation-Relevant
Signals
The measurement system captures environmental patterns commonly associated with building condition. These are treated as measurable environmental variables, not diagnostic conclusions. Interpretation remains separate from measurement.
Scientific Integrity
by Design
Not a policy. Not access controls. A physical and architectural reality: the research archive and public engagement are separate systems on separate hardware.
Research Archive
Designed as write-once, checksummed
All raw sensor streams (NTP-synced), anomaly events, fusion scores, per-modality breakdowns, thermal frames, spatial maps, baseline datasets, calibration records.
Planned licence: CC BY 4.0
Integrity: SHA-256
Archive target: Zenodo
Access: spooklab.com
No Write-Back
Engagement Platform
Community endpoint
Live stream, observation notes, note voting, zone priority votes.
Scope: GDPR
Separated from: Research archive
Write-back: None
Data Loquantur
“Let the data speak”