https://hdl.handle.net/2072/360696 2026-04-04T04:12:27Z 2026-04-04T04:12:27Z Díaz-Acha, Yael Díaz-Ontiveros, Iria Roquet Peña, Miguel https://hdl.handle.net/2072/537806 2025-01-03T11:29:41Z 2024-07-30T00:00:00Z

La catalogación de una colección petrológica moderna: el caso del Museu de Ciències Naturals de Barcelona Díaz-Acha, Yael; Díaz-Ontiveros, Iria; Roquet Peña, Miguel El Museu de Ciències Naturals de Barcelona (MCNB) ejemplifica la definición de museo, realizada por el Consejo Internacional de Museos (ICOM) en 2022, coleccionando, conservando e investigando colecciones de Ciencias de la Vida y de la Tierra. Estas colecciones, vitales para la divulgación y comprensión de las ciencias naturales, documentan la historia y la evolución de la Tierra. El Departamento de Petrología del MCNB administra una colección de más de 20.000 registros que ha sido completamente inventariada e informatizada en los últimos 10 años. El proceso de catalogación comprende ocho pasos, desde el registro de las muestras hasta su ubicación final en las reservas. Se destaca la importancia de una documentación detallada y de la digitalización de los datos para garantizar la preservación y accesibilidad a largo plazo de la colección. La base datos PangeaDB®, desarrollada desde el MCNB, es la herramienta integral de gestión para las colecciones de ciencias de la Tierra del museo. Este enfoque estructurado y estandarizado mejora la gestión y preservación de las colecciones, asegura la coherencia y fiabilidad de los datos, optimiza la gestión y recuperación de datos, fortalece la preservación y difusión del patrimonio científico y cultural y asiste a profesionales responsables de colecciones de rocas a revisar y mejorar su proceso de documentación.; The Natural History Museum of Barcelona (MCNB) exemplifies the museum definition made by ICOM in 2022, by collecting, conserving, and researching collections of Life and Earth Sciences. These collections, vital for the dissemination and understanding of natural sciences, document the history and evolution of the Earth. The Petrology Department of the MCNB manages a collection of over 20,000 records that has been fully inventoried and computerized in the last 10 years. The cataloging process comprises eight steps, from registration to the final location of the samples in the reserves. The importance of detailed documentation and data dig itization is highlighted to ensure the long-term preservation and accessibility of the collection. The PangeaDB® database, developed by the MCNB, is the comprehensive management tool for the museum›s Earth sciences collections. This structured and standardized approach improves the management and preservation of collections, ensures the coherence and reliability of data, optimizes data management and retrieval, strengthens the preservation and dissemination of scientific and cultural heritage, and assists professionals responsible for rock collections in reviewing and enhancing their documentation process.

2024-07-30T00:00:00Z Díaz-Acha, Yael Campeny, Marc Casas, Lluís Di Febo, Roberta Ibáñez-Insa, Jordi Jawhari, Tariq Bosch, Josep Borrell, Ferran Jorge-villar, Susana Esther Greneche, Jean-Marc Tauler, Esperança Melgarejo, Joan Carles https://hdl.handle.net/2072/522243 2024-12-23T17:36:43Z 2022-03-17T00:00:00Z

Colours of gemmy phosphates from the Gavà neolithic mines (Catalonia, Spain): origin and archaeological significance Díaz-Acha, Yael; Campeny, Marc; Casas, Lluís; Di Febo, Roberta; Ibáñez-Insa, Jordi; Jawhari, Tariq; Bosch, Josep; Borrell, Ferran; Jorge-villar, Susana Esther; Greneche, Jean-Marc; Tauler, Esperança; Melgarejo, Joan Carles In the Neolithic Gavà mines, variscite and turquoise were exploited for ornaments manufacturing, although some prospective pits and tunnels were dug on other similar greenish minerals such as smectite or kandite. A 3D study of the distribution of mineral phases allows us to determine the parameters involved in variscite colours. Methods are comprised of quantitative colourimetry, thin section petrography, SEM-BSE-EDS, EMPA, XRD, Raman spectroscopy, and 57Fe Mössbauer spectrometry. Mapping of the mines indicates that colour is not directly dependent on depth. Although variscite from Gavà is poor in Cr3+ and V+3 compared with gemmy variscite from other localities, the deep green samples content has the highest values of Cr3+. In the case of cryptocrystalline mixtures with jarosite, phosphosiderite, or goethite, variscite tends to acquire a greenish brown to olivaceous hue. If white minerals such as quartz, kandite, crandallite, or alunite are involved in the mixtures, variscite and turquoise colours become paler.

2022-03-17T00:00:00Z Díez-Pastor, José Francisco Esther, Susana Arnaiz-González, Álvar García-Osorio, César Ignacio Díaz-Acha, Yael Campeny, Marc Bosch, Josep Melgarejo, Joan Carles https://hdl.handle.net/2072/375927 2024-12-23T16:44:16Z 2018-11-22T00:00:00Z

Machine learning algorithms applied to Raman spectra for the identification of variscite originating from the mining complex of Gavà Díez-Pastor, José Francisco; Esther, Susana; Arnaiz-González, Álvar; García-Osorio, César Ignacio; Díaz-Acha, Yael; Campeny, Marc; Bosch, Josep; Melgarejo, Joan Carles Variscite is an aluminium phosphate mineral widely used as a gemstone in antiquity. Knowledge of the ancient trade in variscite has important implications on the historical appreciation of the commercial and migratory movements of human population. The mining complex of Gavà, which dates from the Neolithic, is one of the oldest underground mine sites in Europe, from where variscite was extracted from several mines and at different depths, providing minerals with different properties and a range of colours. In this work, Machine Learning algorithms have been used to classify variscite samples from Gavà with regard to the identification of their mine of origin and extraction depth. The final objective of the study was to see if the Raman spectroscopic signatures selected by these algorithms had a key spectral significance related to mineral structure and/or composition and validating the use of these computational procedures as a useful tool for detecting variances in the mineral Raman spectra that could facilitate the assignment of the specimens to each mine. Keywords: Archaeometry, Mineral classification, Raman spectroscopy, High Dimensional Data, Neolithic mines of Gavà.

2018-11-22T00:00:00Z Barroso-Barcenilla, Fernando Audije-Gil, Julia Díaz-Acha, Yael https://hdl.handle.net/2072/373859 2024-12-23T17:35:57Z 2019-01-01T00:00:00Z

La “Enciclopedia Pulga” (1953-1958): su contribución al conocimiento de las Ciencias Naturales Barroso-Barcenilla, Fernando; Audije-Gil, Julia; Díaz-Acha, Yael

2019-01-01T00:00:00Z