Published November 19, 2025
| Version v1
Dataset
Open
Long-term ambient vibration data of a real cultural heritage building — Hospital Real of Granada (Spain)
Authors/Creators
-
1.
Universidad de Granada
Description
đź“Š Ambient Vibration Data — Hospital Real (Granada). Continuous data from 27th January 2025 to 2nd February 2025
🏛️ Overview
This dataset contains raw acceleration data recorded from the tower of the Hospital Real in Granada (Spain), collected between 27 January and 2 February 2025 as part of the BUILDCHAIN project (European Union’s Horizon Europe Programme, Grant Agreement No. 101092052).
The Hospital Real is a 16th-century historical building that currently serves as the Rectorate of the University of Granada.
🧠Project Context: BUILDCHAIN
BUILDCHAIN (Building Information Modelling and Blockchain for Sustainable Construction Supply Chains) is a Horizon Europe innovation project developing a Decentralized Knowledge Graph (DKG) to enable trustworthy data exchange and AI-supported decision-making across the construction and maintenance life cycle.
The Hospital Real of Granada is the Pilot 1 site of this project. It demonstrates cognitive Structural Hhealth Monitoring in heritage buildings through the integration of real-time sensing, ontologies, Knowledge Graphs and AI-based reasoning.
🧩 Data Description
The data uploaded to this repository corresponds to raw accelerations measured by the permanent monitoring system installed in the dome of the building (see the "Description.pdf" attatched document). Each entry in the dataset represents one timestamped measurement cycle from the six accelerometers installed in the tower.
The data structure is as follows:
{ "_id": { "$oid": "679d6456a075357ae8453ff3" }, "timestamp": 1738368000.0003407, "sensor_data": [ { "sensor_id": "1", "acceleration": -9.245776504862387e-05 }, { "sensor_id": "2", "acceleration": 0.000863497793712633 }, { "sensor_id": "3", "acceleration": -0.0010263550777435335 }, { "sensor_id": "4", "acceleration": 0.001409646938665653 }, { "sensor_id": "5", "acceleration": -0.00060836440817912 }, { "sensor_id": "6", "acceleration": 0.00017428727453226676 } ]}Where:
- _id: unique identifier.
- timestamp: UNIX time (seconds, float precision).
- sensor_data: Array of readings from each accelerometer.
- sensor_id: Identifier for each sensor (1–6).
⚙️ Acquisition System
The monitoring campaign uses a National Instruments DAQ system connected to six KB12VD seismic accelerometers (10 V/g), with the following characteristics:
- Sampling rate: 200 Hz.
- Unit: g.
- Acquisition mode: Continuous real-time stream.
- Database: MongoDB.
- Format: JSON Lines (`.jsonl`) — one document per timestamp.
🛠️Usage
- Download the data_20250127-20250202.zip file.
- Uncompress the .zip file to get the data_20250127-20250202 folder.
- Decompress all .gz files inside the data_20250127-20250202 folder: to assist in this task, python code in "unzip_acceleration_data.zip" folder can be used.
📧 Contact
Juan Chiachío Ruano
jchiachio@ugr.es
© 2025 BUILDCHAIN Consortium
Files
data_20250127-20250202.zip
Additional details
Additional titles
- Subtitle
- Continuous AVD from 27th Jan 2025 to 2nd Feb 2025
Funding
Software
- Programming language
- Python