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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Long-term ambient vibration data of a real cultural heritage building — Hospital Real of Granada (Spain)

Continuous AVD from 27th Jan 2025 to 2nd Feb 2025
Authors: CHIACHIO-RUANO, JUAN; DAROCH SALAZAR, EMILIO; Antonio Luis Sánchez López-Cuervo; García Macías, Enrique;

Long-term ambient vibration data of a real cultural heritage building — Hospital Real of Granada (Spain)

Abstract

📊 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. đź§  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. đź§© 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. đź“§ Contact Juan ChiachĂ­o Ruano Universidad de Granada jchiachio@ugr.es © 2025 BUILDCHAIN Consortium

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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