BUSCADOR RECOLECTA

Este canto está interpretado por una mujer, que representa a la Verónica en la procesión del Santo Entierro el Viernes Santo. Engalanada con joyas de oro, prestadas por la gente, caminaba por delante del féretro y en cada estación entonaba su plegaria (en latín). Posiblemente tenga origen barroco. La composición resulta de muy difícil ejecución. Se cantaba mucho en Navidad. El informante canta un fragmento., Esta canção é executada por uma mulher, que representa a Verónica na procissão do Santo Sepultamento na Sexta-feira Santa. Decorada com jóias de ouro, emprestadas pela multidão, ela caminhou em frente ao caixão e em cada estação entoou a sua oração (em latim). É provavelmente de origem barroca. A composição é muito difícil de realizar. Era frequentemente cantada no Natal. O informante canta um fragmento., This song is performed by a woman, who represents the Veronica in the procession of the Holy Burial on Good Friday. Decorated with gold jewellery, borrowed from the crowd, she walked in front of the coffin and at each station intoned her prayer (in Latin). It is probably of Baroque origin. The composition is very difficult to perform. It was often sung at Christmas. The informant sings a fragment.

This work is part of the research project «The image of the National Institute of Industry in the territory: Cartography and landscape of industry» funded by the Spanish Ministry of Science, Innovation and Universities 2019-2022 (Ref. PGC2018-095261-B-C22). The research project was focused on analysing the architectural and landscape dimension of the industrial infrastructure developed by the Spanish National Institute of Industry during the dictatorship, and exploring them as industrial heritage. As part of this research, the governmental promotion of the electricity sector, and in particular, the construction of combustion power stations, was analysed. This database was elaborated in the framework of a study-case focused on the conservation of fossil fuel power stations (FFPSs). Although this study was focused mainly on Spain, it broadens a comparative analysis with neighbouring countries given that electrification is a global, technical, and historical milestone, and decarbonisation processes are common phenomena in industrialised economies of Western countries., GRANT INFORMATION: This work is part of the research project «The image of the National Institute of Industry in the territory: Cartography and landscape of industry»” (Ref. PGC2018-095261-B-C22), funded by the Spanish Ministry of Science, Innovation and Universities 2019-2022. PI: Ángeles Layuno-Rosas. Field research carried out in Malta was part of a Short-Term Scientific Mission funded by Cost Action CA18110 Underground Built Heritage as catalyser for Community Valorisation. Author's early career position at the University of Alcalá is funded by the Spanish State Plan for Scientific and Technical Research and Innovation 2017-2020 - Funds for pre-doctoral contracts and PhD training PRE2019-091547, 2019.

Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Estonia

1. Wing area, wing loading and aspect ratio are key variables for studies of avian comparative ecology, despite the complexity of measuring wing characteristics in living and museum specimens. The systematic databases of feather photographs available on the internet may offer an alternative way of obtaining such morphometric data. Here we evaluate whether measurements of scanned feathers from web photo databases may offer reliable estimates of avian morphometry. 2. Published data on wing area was obtained for 317 bird species and feather measurements from web photo databases for 225 of them. A variable termed ‘lift generation area’, a proxy for wing area, was calculated for each species on the basis of the mean length of the five distal secondary feathers and wingspan data from literature. The fit between this proposed variable and data extracted from the literature was examined by correlation, employing linear regression to explore the lack of fit among species. 3. ‘Lift generation area’ proved to be highly informative as a proxy for wing area for the study species as a whole (R2>0.98). Discrepancies observed between species were strongly negatively associated with the size of the original sample used to calculate wing area (P=0.001) and, to a lesser extent, with bird size (P=0.023), but not with aspect ratio. It was also found that the mean value of the mismatch between ‘lift generation area’ and wing area (13.1%) among the study species as a whole was of similar magnitude to that found between sources of bibliographical wing area data for the 64 species for which two published estimates of this variable were available (15.3%). 4. We conclude that measurements made from feather photo databases are reliable for use in studies of avian comparative ecology, enabling the inclusion of biomechanical parameters of many more species than featured at present.

The seven TXT files cointain the information related to the concrete discs tested for the paper indicated in "RELATED PUBLICATIONS" of this file (https://doi.org/10.1016/j.ijrmms.2020.104380). The names of the files coincide with the disc numbers indicated in the table 4 of the mentionned article. The gauges are numbered from left to right as 1,2,3,4 and 5 respectively (see figures 2 and 3). The dimensions of the discs are described in the table 1 of the article and their composition is indicated in the part "2.1 Material"

Project developed by Giovanni Federico (Università di Pisa) and Antonio Tena Junguito (Universidad Carlos III de Madrid). This data base outlines changes in world trade from 1800 to 2016. Dataset: Korea

Project developed by Christopher Absell (University Gothenburg and Instituto Figuerola) Giovanni Federico (New York University Dubai) and Antonio Tena Junguito (Universidad Carlos III de Madrid and Instituto Figuerola). Dataset: Lesotho

Project developed by Christopher Absell (University Gothenburg and Instituto Figuerola) Giovanni Federico (New York University Dubai) and Antonio Tena Junguito (Universidad Carlos III de Madrid and Instituto Figuerola). Dataset: Paraguay

GC-MS data of floral volatiles sampled during the day and the night