El Jurásico en la región de Obon (Teruel)

Depto. de Geodinámica, Estratigrafía y PaleontologíaFac. de Ciencias GeológicasTRUEpu

Bosquejo estratigráfico del Jurásico de las Cordilleras Béticas

En el presento trabajo se recopilan e interpretan los datos existentes sobre el Jurásico de las Cordilleras Béticas, en especial del sector comprendido entre las Sierras del Segura y Gibraltar. Una primera parte se dedica a la descripción de las características litoestratigráficas de las serios, agrupándolas en unidades comunes, tanto para la Zona Subbética, como para las Zonas Prebética y Bética. Con el conjunto de los datos se elaboran unos gráficos de reconstrucción de la cuenca sedimentaria para el Jurásico de las Cordilleras Béticas. Se elabora una mapa de la distribución de las diversas utilidades, y en el que se incluye además la serie estratigráfica esquematizada para cada una de ellas. La segunda parte se dedica a la descripción de las microfacies más características, en relación con las faunas de Ammonitos, en especial para el sector central de la Zona Subbética. Se incluyen ilustraciones de las microfacies más representativas. Por último se recopila la casi totalidad de la bibliografía referente al Jurásico de estas Cordilleras, en sus aspectos estratigráfico-paleontológicos más diversos

Historia del conocimiento de los Ammonites del Jurásico de España: l. los tiempos de José Torrubia (1754)

The first published Jurassic Ammonites from Spain in the Aparato para la Historia Natural Española of José Torrubia (1754) is described here with plates depicting some Ammonite fossils atributed by Torrubia to «cornu ammonis». An evaluarían of the knowledge of Torrubia about the contemporaneus pa/aeontologicalliterature and the controversies about the petrifications is made

Museos y exposiciones en Madrid como oportunidad de trabajar conceptos-clave de las Ciencias Sociales con estudiantes Erasmus+ Incoming en colaboración con estudiantes UCM, asociaciones de estudiantes, oficina de relaciones internacionales y PDI

Proyecto de Innovación que pone en contacto los recursos museísticos y expositivos de Madrid con los estudiantes internacionales para trabajar conceptos-clave en las ciencias sociales, como vulnerabilidad y comunicació

Aalenian Tmetoceras (Ammonoidea) from Iberia: taphonomy and palaeobiogeography

From different areas of the Iberian Peninsula more than 600 specimens of Aalenian Tmetoceras have been found. This taxonomic group represents less than 20% of the whole ammonoids recorded in Opalinum, Murchisonae, Bradfordensis and Concavum biozones. Tmetoceras representatives, as well as Phylloceratina and Lytoceratina, were more frequent in shelfal basins than in epicontinental platforms. Taphonomic data suggest a eudemic character of the representatives of T. scissum in shelfal basins or oceanic areas. Exceptional immigrants and drifted shells of this species arrived in shallow environments of neighbouring platforms. In contrast, representatives of T. regleyi inhabited preferentially shallow environments of epicontinental platforms. T. scissum was a pandemic species, inhabiting oceanic or shelfal environments in the early Aalenian. However, some species of Tmetoceras, such as T. regleyi and T. flexicostatum, were geographically restricted in very distant areas. T. regleyi has been found only in European areas of the West Tethyan Subrealm. A pattern of adaptive radiation may have taken place in the Western Tethys during the Opalinum-Murchisonae biochrons, giving rise to T. regleyi from T. scissum. Specialized forms of Tmetoceras (k-strategists such as the individuals of the species T. regleyi) are widespread in the epicontinental platforms around the Western Tethys during the Murchisonae and Bradfordensis biochrons. Epicontinental, specialized forms of T. regleyi suffered extinction in the latest Bradfordensis Biochron. Shelfal or oceanic, generalist forms of T. scissum disappeared in the Western Tethys or the Mediterranean Province in the latest Bradfordensis Biochron, but they survived in the East-Pacific Subrealm

Aalenian Tmetoceras (Ammonoidea) from Iberia: taxonomy, habitats and evolution.

Several hundred Aalenian Tmetoceras from the Iberian Peninsula (N Lusitanian Basin, Asturias, Basque-Cantabrian Basin, NE Cameros, NW Iberian Basin, Aragonese Platform, Tortosa Platform, Castilian Platform, Majorca and Betic Basin) have been reviewed. Two species of Aalenian Tmetoceras have been identified on the basis of morphological, biochronological and palaeobiogeographical data: T. scissum and T. regleyi. T. scissum was dominant among the Tmetoceras populations developed in the Betic and Lusitanian basins during Opalinum, Murchisonae and Bradfordensis biochrons. Populations composed by evolute individuals of T. scissum inhabited shelfal or oceanic environments. A chronocline, from rectiradiate and primitive forms to flexicostate and derived forms, can be recognized in these populations of T. scissum. In contrast, shallow epicontinental platforms were inhabited by involute individuals of T. regleyi. This second species was phyletically derived from T. scissum, representing an adaptive radiation from populations of shelfal or oceanic basins to populations of epicontinental platforms

Aalenian Tmetoceras (Ammonoidea) from Iberia: taxonomy, habitats and evolution.

Several hundred Aalenian Tmetoceras from the Iberian Peninsula (N Lusitanian Basin, Asturias, Basque-Cantabrian Basin, NE Cameros, NW Iberian Basin, Aragonese Platform, Tortosa Platform, Castilian Platform, Majorca and Betic Basin) have been reviewed. Two species of Aalenian Tmetoceras have been identified on the basis of morphological, biochronological and palaeobiogeographical data: T. scissum and T. regleyi. T. scissum was dominant among the Tmetoceras populations developed in the Betic and Lusitanian basins during Opalinum, Murchisonae and Bradfordensis biochrons. Populations composed by evolute individuals of T. scissum inhabited shelfal or oceanic environments. A chronocline, from rectiradiate and primitive forms to flexicostate and derived forms, can be recognized in these populations of T. scissum. In contrast, shallow epicontinental platforms were inhabited by involute individuals of T. regleyi. This second species was phyletically derived from T. scissum, representing an adaptive radiation from populations of shelfal or oceanic basins to populations of epicontinental platforms

Use of Neural Networks for Tsunami Maximum Height and Arrival Time Predictions

Operational TEWS play a key role in reducing tsunami impact on populated coastal areas around the world in the event of an earthquake-generated tsunami. Traditionally, these systems in the NEAM region have relied on the implementation of decision matrices. The very short arrival times of the tsunami waves from generation to impact in this region have made it not possible to use real-time on-the-fly simulations to produce more accurate alert levels. In these cases, when time restriction is so demanding, an alternative to the use of decision matrices is the use of datasets of precomputed tsunami scenarios. In this paper we propose the use of neural networks to predict the tsunami maximum height and arrival time in the context of TEWS. Different neural networks were trained to solve these problems. Additionally, ensemble techniques were used to obtain better results

Use of Neural Networks for Tsunami Maximum Height and Arrival Time Predictions

Operational TEWS play a key role in reducing tsunami impact on populated coastal areas around the world in the event of an earthquake-generated tsunami. Traditionally, these systems in the NEAM region have relied on the implementation of decision matrices. The very short arrival times of the tsunami waves from generation to impact in this region have made it not possible to use real-time on-the-fly simulations to produce more accurate alert levels. In these cases, when time restriction is so demanding, an alternative to the use of decision matrices is the use of datasets of precomputed tsunami scenarios. In this paper we propose the use of neural networks to predict the tsunami maximum height and arrival time in the context of TEWS. Different neural networks were trained to solve these problems. Additionally, ensemble techniques were used to obtain better results