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Una aplicación web para la base de datos de cultivo de animales y una plantilla para desplegar bases de datos de

Kiran Basava¹, Cristian Román-Palacios¹

¹College of Information Science University of Arizona Tucson Arizona USA.

Ecology and evolution

|August 22, 2025

Resumen

Los investigadores ahora pueden explorar datos de cultivo de animales de manera interactiva. Una nueva aplicación web Shiny despliega bases de datos de rasgos, como la Base de Datos de Cultura Animal (ACDB), para facilitar el análisis y la visualización de datos.

Área de la Ciencia:

Ecología y biología evolutiva
Biología computacional
La bioinformática

Sus antecedentes:

Las bases de datos de rasgos son cruciales para la investigación ecológica y evolutiva.
Los repositorios de datos estructurados y de acceso abierto facilitan la exploración y el análisis de los datos.
El despliegue de estas bases de datos como plataformas interactivas mejora la accesibilidad.

Objetivo del estudio:

Para diseñar y estructurar una aplicación web brillante para el despliegue de bases de datos de características.
Mostrar la funcionalidad de la base de datos de cultivo de animales (ACDB) a través de una aplicación web.
Demostrar el potencial para el despliegue de otras bases de datos utilizando este enfoque.

Principales métodos:

Desarrolló una aplicación web brillante para servir como una plataforma interactiva para bases de datos de rasgos.
Utilizó la base de datos de cultivo de animales (ACDB) como estudio de caso.
Se han integrado varias tablas vinculadas con información geoespacial para la visualización de datos.

Principales resultados:

La aplicación web proporciona una interfaz intuitiva para explorar el ACDB.
Los usuarios pueden acceder a datos a nivel de población, descripciones de comportamiento y distribuciones geográficas.
La aplicación permite la visualización de datos y el análisis de comportamientos culturales de los animales.

Conclusiones:

La aplicación web desarrollada despliega efectivamente bases de datos de rasgos para la investigación.
Este enfoque facilita la exploración y el análisis interactivos de datos biológicos complejos.
La metodología es transferible a otras bases de datos científicas.

Palabras clave:

Brillante base de datos fuente abierta plantilla

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