Resultados de investigación

Here, we present a wood charcoal reference collection for anthracological analyses in the Highlands of Ethiopia. Available plant species and genus were selected according to their importance in the different vegetation types present in the northern Highlands of Ethiopia following the information published by Friis et al. (2010) and their availability in the Museum National d'Histoire Naturelle collections at Paris. It contains pictures of the cross, radial and tangential sections, as well as anatomical descriptions following the terminology proposed by the International Association of Wood Anatomists.

The present documents are the suplementary materials of the paper published and named "Human-Woodland interactions during the pre-Aksumite and Aksumite periods in NE Tigray, Ethiopia: insights from the wood charcoal analyses of Mezber and Ona Adi" https://doi.org/10.1007/s00334-021-00825-2. They include: 1) List of plant taxa found during analyses, including anatomical descriptions and discussions. 2) Explanation of used indexes. 3) Raw data of taphonomical alterations found throughout the analyses. 4) Results of representativty curves, including quantitative, qualitative and Gini-Lorenz curves. 5) Raw data of taxonomical results registered during analyses.

The present documents are the primary data used on the paper in preparation "Farming the World's drylands: ethnographic-based models highlight the key role of traditional knowledge for sustainable food production": 1) SI Dataset S1(SI1-eHRAF-dataset.csv): Full cross-cultural dataset, according to the data provided by eHRAF and added external sources, on traditional cultivation practices of finger millet, pearl millet and sorghum worldwide. Data has been normalised according to the Standard Cross-Cultural Sample Codebook (3). 2) SI Dataset S2 (SI2-interviews.csv): Data resulting form the ethnographic interviews, processed and normalized according to the Standard Cross-Cultural Sample Codebook (3).

This dataset contains 2762 radiocarbon dates from 1023 archaeological sites in lowland South America. In principle, only archaeological cultures related to the spread of polyculture agroforestry (tropical forest farming) and ceramics are represented. The dataset has been compiled and is continuously updated as part of the project ExPaND: Examining Pan-Neotropical funded by the European Commission H2020.

429 phytolith images of eight different morphotypes (bilobate, bulliform, cross, elongate, globular, rondel/trapeziform, saddle, trichome) from soil samples used in a comparative analysis of six classification methods to examine the efficacy of different quantitative approaches for characterising phytoliths and automatically identify them. These data are the supplementary materials of the paper: Díez-Pastor, J., Latorre-Carmona, P., Arnaiz-González, Á, Ruiz-Pérez, J., & Zurro, D. (2020). “You Are Not My Type”: An Evaluation of Classification Methods for Automatic Phytolith Identification. Microscopy and Microanalysis, 26(6), 1158-1167. doi:10.1017/S1431927620024629

Table with figures about the coverage of wildfires on diverse Spanish media between 2017 and 2021 (n=656)

Recent technological advancements in Artificial Intelligence make it easy to create deepfakes, hyper-realistic videos in which images and video clips are processed to create fake videos that appear authentic. Many of them are based on swapping faces without the consent of the person whose appearance and voice are used. As emotions are inherent in human communication, studying how deepfakes transfer emotional expressions from original to fakes is relevant. In this work, we conduct an in-depth study on facial emotional expression in deepfakes using a well-known face swap-based deepfake database. First, we extracted the photograms from their videos. Then, we analyzed the emotional expression in both the original and the faked versions of the video recordings for all performers in the database. Results show that emotional expressions are not adequately transferred between original recordings and the deepfakes created from them. The high variability in emotions and performers detected between original and fake recordings indicates that performer emotion expressiveness should be considered for better deepfake generation or for detecting them.

This dataset contains the measurements corresponding to the experimental results reported in the associated publication. All tests were carried out in the Microgrid Laboratory of the EPSEVG (Escola Politècnica Superior d’Enginyeria de Vilanova i la Geltrú, Universitat Politècnica de Catalunya – UPC) under controlled operating conditions. The results are stored in .mat format and can be easily plotted using the MATLAB script provided alongside the data.

This dataset contains the measurements corresponding to the experimental results reported in the associated publication. All tests were carried out in the Microgrid Laboratory of the EPSEVG (Escola Politècnica Superior d’Enginyeria de Vilanova i la Geltrú, Universitat Politècnica de Catalunya – UPC) under controlled operating conditions. The results are stored in .mat format and can be easily plotted using the MATLAB script provided alongside the data.

This dataset contains the measurements corresponding to the experimental results reported in the associated publication. All tests were carried out in the Microgrid Laboratory of the EPSEVG (Escola Politècnica Superior d’Enginyeria de Vilanova i la Geltrú, Universitat Politècnica de Catalunya – UPC) under controlled operating conditions. The results are stored in .mat format and can be easily plotted using the MATLAB script provided alongside the data.