Dataset project MATS (PID2020-114289RB-I00)

Published: 20 November 2024| Version 1 | DOI: 10.17632/tvywhgysbm.1
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Description

Dataset for project Integracion de Sistemas de Post-Tratamiento de Gases de Escape Multifuncionales en Vehiculos de Propulsion Hibrida (MATS, PID2020-114289RB-I00) funded by Agencia Estatal de Investigación (Spain, MICIU/AEI/10.13039/501100011033/) and ERDF-A way of making Europe.

Files

Steps to reproduce

Experimental data were collected using dedicated software and hardware tailored to the project’s specific requirements. Due to the diverse facilities and experimental techniques employed across tasks, providing detailed descriptions for each within the data management plan was not feasible. To uphold FAIR principles and ensure users have sufficient context, each dataset in the repository includes a .txt file. This file directs users to scientific articles that comprehensively describe the experimental methodologies, facilities, and techniques used, ensuring that all necessary information for correct data interpretation is readily accessible. Data management practices were carefully structured to ensure consistency, quality, and accessibility. Folder and file naming conventions were standardized across datasets to support logical organization and easy navigation, while version control was implemented to track updates and modifications, ensuring that users access the latest validated data. Quality assurance included calibration checks, repeat measurements, and standardized data capture protocols, with each dataset subjected to peer review for consistency and accuracy. For modeling results, internally developed software was used, offering significant flexibility in output configuration. This software, extensively described in referenced publications, is also documented in accompanying .txt files within each data package in the repository.

Institutions

Universitat Politecnica de Valencia

Categories

Emissions, Heterogeneous Catalyst, Internal Combustion Engine, Hybrid-Electric Vehicle

Funding

Agencia Estatal de Investigación

PID2020-114289RB-I00

Licence