BUSCADOR RECOLECTA

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

Existe una amplia variedad de enfoques para medir la calidad metodológica (MQ). Los profesionales, generalmente no expertos en metodología, no tienen criterios claros para evaluar la MQ de los programas de intervención o estudios primarios. Además, las propuestas existentes carecen de evidencia de sus propiedades métricas y no explican los motivos de los indicadores seleccionados. Este estudio propone la Escala de Calidad Metodológica (MQS) como una herramienta simple y útil con fiabilidad, con evidencias de validez y propiedades métricas adecuadas. Se parte de una revisión de la literatura de todos los instrumentos existentes [DataS1] y como resultado final del proyecto se presenta una nueva escala para medir la calidad metodológica [DataS5]. La escala final resultante se aplica sobre un conjunto de estudios primarios sobre ‘organizational training programs’ [DataS3]. Para ello se desarrolló un manual de codificación [DataS2] de tal forma que dos codificadores independientes lo aplicaron para codificar los estudios que estaban en la base de datos de estudios primarios, generando una nueva base de datos [DataS4]. Fechas de generación de las bases de datos: La DataS1 estaba ya disponible como material suplementario en un ‘paper’ publicado en Frontiers: ‘Chacón-Moscoso, S., Sanduvete-Chaves, S., & Sánchez-Martín, M. (2016). The development of a checklist to enhance methodological quality in intervention programs. Frontiers in Psychology, 7: 1811. https://doi.org/10.3389/fpsyg.2016.01811’ - DataS2SupportingInformationCodingManual: 12/4/2020 - DataS3SupportingInformationReference299PrimaryStudies: 22/4/2020 - DataS4SupportingInformationDatabase: 25/5/2021 - DataS5_MQS: 02/3/2022, - DataS1SupportingInformationBibliographyMethodologicalQuality - DataS2SupportingInformationCodingManual - DataS3SupportingInformationReference299PrimaryStudies. - DataS4SupportingInformationDatabase - DataS5_MQS, v. 1

The file includes the data used in all the figures and supplementary figures, as well as the codes used for simulations and escape rate estimation. The data files are in .mat format. The codes are Matlab codes with the exception of the analytical estimate of the escape rate which is a Mathematica worksheet., This file contains the data and codes used in the paper “Confinement-induced accumulation accumulation and de-mixing of microscopic active-passive mixtures”, S. Williams et al, 2022., Grants: Agence Nationale de la Recherche: PSL - Paris Sciences et Lettres (ANR-10-IDEX-0001); ENS-ICFP - ENS- International Center for Fundamental Physics and its interfaces (ANR-10-LABX-0010), Peer reviewed