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Jun 3, 2022 - Universidad de Alcalá
Jiménez-García, Blanca, 2026, "Data from: Corrigendum to: Deep learning improves taphonomic resolution: high accuracy in differentiating tooth marks made by lions and jaguars", https://doi.org/10.5061/DRYAD.0CFXPNW0D
Corrigendum to "Deep learning improves taphonomic resolution: high accuracy in differentiating tooth marks made by lions and jaguars". In a previous paper, we presented some convolutional neural network (CNN) models to classify images of tooth scores made by lions and jaguars through deep learning computer vision. In that work, we reached an accura...Dataset recolectado desde Zenodo con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo. |
Jun 3, 2022 - Universidad de Alcalá
Ratcliffe, Sophia; Dahlgren, Jonas; Lehtonen, Aleksi; Wirth, Christian; Ruiz-Benito, Paloma; Zavala, Miguel A.; Kaendler, Gerald; Mäkipää, Raisa; Kunstler, Georges, 2026, "Forest inventory data from Finland and Sweden for: Demographic performance of European tree species at their hot and cold climatic edges, plus ancillary climate data", https://doi.org/10.5061/DRYAD.WM37PVMKW
1. Species range limits are thought to result from a decline in demographic performance at range edges. However, recent studies reporting contradictory patterns in species demographic performance at their edges cast doubt on our ability to predict climate change demographic impacts. To understand these inconsistent demographic responses at the edge...Dataset recolectado desde Zenodo con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo. |
Jun 2, 2022 - Universidad Carlos III de Madrid
Farhad Arpanaei, 2022, "Data Sets for SNR Estimation in Flexible Optical Networks: Lightpath, Link, and Span Levels", https://doi.org/10.5281/ZENODO.6529732
These data sets have been generated based on the analytic models [1,2] to estimate signal to the noise ratio (SNR) for spans, links, and lightpaths of a Flexible Optical Network (FON) over standard single-mode fiber (SSMF). For PM-BPSK and PM-QPSK modulation format levels, equation 41-43 [1], and for PM-8-64QAM modulation format levels, equation 7....Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
Jun 2, 2022 - Universidad de Alcalá
Villén-Pérez, Sara; Heikkinen, Juha; Salemaa, Maija; Mäkipää, Raisa, 2026, "Data from: Global warming will affect the maximum potential abundance of boreal plant species", https://doi.org/10.5061/DRYAD.VQ83BK3PM
Forecasting the impact of future global warming on biodiversity requires understanding how temperature limits the distribution of species. Here we rely on Liebig s Law of Minimum to estimate the effect of temperature on the maximum potential abundance that a species can attain at a certain location. We develop 95%-quantile regressions to model the...Dataset recolectado desde Zenodo con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo. |
Jun 1, 2022 - Universidad Carlos III de Madrid
Mortimer, Beth; Soler, Alejandro; Wilkins, Lucas; Vollrath, Fritz, 2026, "Data from: Decoding the locational information in the orb web vibrations of Araneus diadematus and Zygiella x-notata", https://doi.org/10.5061/DRYAD.7RM572M
A spider s web is a multifunctional structure that captures prey and provides an information platform that transmits vibrational information. Many physical factors interact to influence web vibration and information content, from vibration source properties and input location, to web physical properties and geometry. The aim of the study was to tes...Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
May 31, 2022 - Universidad Carlos III de Madrid
Kryvasheyeu, Yury; Chen, Haohui; Moro, Esteban; Van Hentenryck, Pascal; Cebrian, Manuel, 2026, "Data from: Performance of social network sensors during Hurricane Sandy", https://doi.org/10.5061/DRYAD.15FV2
Information flow during catastrophic events is a critical aspect of disaster management. Modern communication platforms, in particular online social networks, provide an opportunity to study such flow and derive early-warning sensors, thus improving emergency preparedness and response. Performance of the social networks sensor method, based on topo...Dataset recolectado desde Zenodo con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
May 31, 2022 - Universidad de Alcalá
Crouzeilles, Renato; Curran, Michael; Ferreira, Mariana S.; Lindenmayer, David B.; Grelle, Carlos E. V.; Rey Benayas, José M., 2026, "Data from: A global meta-analysis on the ecological drivers of forest restoration success", https://doi.org/10.5061/DRYAD.K3479
Two billion ha have been identified globally for forest restoration. Our meta-analysis encompassing 221 study landscapes worldwide reveals forest restoration enhances biodiversity by 15–84% and vegetation structure by 36–77%, compared with degraded ecosystems. For the first time, we identify the main ecological drivers of forest restoration success...Dataset recolectado desde Zenodo con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo. |
May 30, 2022 - Universidad de Alcalá
Pérez-Camacho, Lorenzo; Martínez-Hesterkamp, Sara; Rebollo, Salvador; García-Salgado, Gonzalo; Morales-Castilla, Ignacio, 2026, "Data from: Structural complexity of hunting habitat and territoriality increase the reversed sexual size dimorphism in diurnal raptors", https://doi.org/10.5061/DRYAD.0N226HS
Despite numerous efforts and many hypotheses to explain the selective pressures that may have favoured reversed sexual dimorphism (RSD) in raptors ‐ i.e. that the female is larger than the male ‐ some drivers of RSD are still unknown. Here we analyse how much variation in RSD is explained by hunting habitat structure, territoriality or territory si...Dataset recolectado desde Zenodo con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo. |
