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Predictive tool of seagrass health to optimize the design of low crested structures in the Mediterranean Sea

Rezultaty

Data Management Plan

Data analysis and management will include databases of seagrass structural variables, hydromorphological parameters related to seagrass bed development, scripts of data analysis, seagrass monitoring data used to calibrate and validate the predictive tool, etc. Data will be stored in electronic media (hard disks and a cloud server back-up) using standard file formats (Word, Excel, PNG, TXT, etc.). Project results and outputs will be shared through dissemination and communication activities. Data generation, access, and use, along with relevant issues regarding research outputs that may be generated or re-used will be described in detail in the Data Management Plan (DMP). Following the FAIR principle, data and other research outputs (computer scripts, databases, etc) will be available at the UPV repositories, the European Open Science Cloud (EOSC), and other public repositories, such as the International Oceanographic Data and Information Exchange (IODE) of the Intergovernmental Oceanographic Commission (IOC) of UNESCO and The European Marine Observation and Data Network (EMODnet - GitHub). Articles will preferably be published in open access form.

Publikacje

SUSTAINABLE AND BIOENGINEERED CONCRETE FOR ARMOR UNITS OF LOW-CRESTED STRUCTURES

Opublikowane w: 2024, ISSN 2710-1509
Wydawca: TU Delft OPEN Publishing
DOI: 10.59490/coastlab.2024.695

Diseño ecológico de piezas de hormigón para la construcción de rompeolas

Autorzy: Escudero, Mireille; Molines, Jorge; Gómez-Martín, M. Esther; Medina, Josep R.
Opublikowane w: 2024
Wydawca: Editorial Universitat Politècnica de València
DOI: 10.5281/zenodo.13828255

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