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Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Database of the artistic transfer in the building factory in the ancient kingdom of Seville in the transition to the Modern Age [Dataset]

Authors: Patricia Ferreira-Lopes;

Database of the artistic transfer in the building factory in the ancient kingdom of Seville in the transition to the Modern Age [Dataset]

Abstract

Los datos recopilados se almacenan en una base de datos de Microsoft Access® que se ha diseñado para integrarse físicamente en un sistema SIG y a herramientas para modelos orientado a Grafo, como Gephi®. La estructura de esta base de datos está compuesta por entidades y relaciones que son representadas por tablas de entidades principales (E), tablas de clasificación/valores - entidades secundarias (Ee) y relaciones (RS). Cada una de las tablas está formada por una serie de registros (cada registro corresponde a una entidad o elemento) y por columnas o campos. Existen 5 tablas de entidades principales: “E1 profesionales”, “E2 mecenas”, “E3 edificios”, “E4 parte_edificio” (objetos asociados a arquitectura y estructura); 4 tablas de entidades secundarias: “Ee1 categoria agente”, “Ee2 tipo-clasificacion”, “Ee3 autor-dato” y “Ee4 ref-docu”; y 2 tablas de Relaciones: “RS1 Evento” y “RS2 tiene pariente”. El objetivo es identificar los eventos relacionados con la actividad constructiva durante el fenómeno del Gótico Tardio, mediados del Siglo XV y XVI de los profesionales que han trabajado en el antiguo Reino de Sevilla con el fin de analizar los movimientos, actividades y red de relaciones de los profesionales en el tiempo y espacio.

Esta base de datos es parte de los proyectos HAR2012-34571, HAR2016-78113-R y HAR2016-76371-P, financiados por el Ministerio de Ciencia e Innovación del Gobierno de España.

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Keywords

patrimonio tardogótico, base de datos basada en grafo, base de datos eventos históricos, fábrica edilicia en el antiguo reino de Sevilla, base de datos modelo SIG

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selected citations
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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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