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Explore datasets with ease using taxonomy filtering, allowing you to quickly identify the specific experimental datasets you need and download them effortlessly

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Data Management Web Services - Built Environment Test Data - experiments.builtenvdata.eu

Explore datasets with ease using taxonomy filtering, allowing you to quickly identify the specific experimental datasets you need and download them effortlessly.

Dataset metadata is generated through admin dashboard

Note: a small portion of codebase is shared only

Architecture

Taxonomy Explore

Objective

Built Environment Data: Experiments is a service maintained and hosted by the University of Pavia in collaboration with the EUCENTRE Foundation, IUSS Pavia and with technical support from the GEM Foundation to provide open access to experimental test data on the performance of buildings and infrastructure. This data has been generated by many experimental tests in Europe and can be used for the validation and calibration of numerical models required to assess the vulnerability of buildings and infrastructure. Users can easily search our database of experimental test data using the Explore Datasets page. Web services are also available for automated searching of the database. We accept open experimental test data from the community, to which we will assign a Creative Commons CC-BY license and a Digital Object Identifier (DOI). Please contact us here for more information on how to contribute your data. We adhere to the Data Policy of the European Plate Observing System (EPOS).

References

If you use the Experiments platform to host your experimental data, please be sure to cite the reference publication:

Shahnazaryan, D., Pinho, R., Crowley, H., & O’Reilly, G. J. (2024). The Built Environment Data platform for experimental test data in earthquake engineering. Earthquake Engineering & Structural Dynamics, 53(15), 4627–4640. https://doi.org/10.1002/eqe.4231

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Explore datasets with ease using taxonomy filtering, allowing you to quickly identify the specific experimental datasets you need and download them effortlessly

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