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Combina tecnología de ultrasonidos con procesamiento de imagen e inteligencia artificial para detectar y cuantificar los signos típicos de la neumonía causada por el SARS-CoV-2. Es un desarrollo del CSIC en colaboración con la empresa española DASEL y la Universidad Complutense de Madrid. Datos técnicos: 3 minutos, color, español. Ficha técnica: Gabinete de Presidencia CSIC y Departamento de Comunicación Peer reviewed

Dickeya solani - H2O2 stationary, 30C

Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016. Story collected by a student at Knockerra (C.), Killimer school (Knockerra, Co. Clare) from informant Mrs E. Culligan. Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Eibhlín Ní Cholgain.

Belgium Herbarium image of Meise Botanic Garden.

Belgium Herbarium image of Meise Botanic Garden.

Ce tableau fait partie d'une série de tableaux qui présente un portrait du Canada selon les divers thèmes du recensement. Ces tableaux varient selon la complexité et les niveaux géographiques. Le contenu varie d'un simple aperçu du pays à des tableaux croisés plus complexes; les tableaux peuvent également présenter des données provenant de plusieurs recensements. This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016. Story collected by John Murphy, a student at Dromcollchoille (B.) school (Dromcolliher, Co. Limerick) from informant Timothy Murphy. Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Pádraig Ó Mathghamhna.

This find is registered at Portable Antiquities of the Netherlands with number PAN-00001243

This is a phylogenetic tree inferred from a six-gene dataset from Zhao et al. (2015) to which mtSSU sequences from the new species Lecanora markjohnstonii and a closely-related species Lecanora orientoafricana were added. The tree was reconstructed in order to infer placement of L. markjohnstonii within Lecanora. This work was supported in part by NSF Dimensions of Biodiversity Awards #1542639 (to ET, NK, CM) at the University of Colorado and #1432629 (to JL) at the New York Botanical Garden

We present two novel datasets for hit song prediction (HSP): HSP-S and HSP-L. They are substantially larger than currently available dataset with respect to the number of features contained. Both datasets provide high- and low-level audio features stemming from AcousticBrainz and short representative MP3 samples. Further, we include listener- and play-counts gathered from last.fm for both datasets. The larger dataset, HSP-L, contains 73,482 songs with audio features, listener- and play-counts, making it substantially larger than previous datasets. In addition, we provide the release year information for 65,575 songs as provided by the Million Song Dataset. The smaller dataset, HSP-S, contains 7,736 songs, listener- and play-counts as well as Billboard Hot 100 data for 50% of the songs, and release year information is available for 7,449 songs.