11.281 a 11.290 de 14.031 Resultados
6 jul 2020 - Universidad Carlos III de Madrid
Estevez, David, 2020, "FoldNet - Hanging Garments Dataset", https://doi.org/10.5281/ZENODO.3932101
Dataset accompanying the publication "Towards Clothes Hanging via Cloth Simulation and Deep Convolutional Networks" published in the 10th EUROSIM 2019 Congress. Compressed file with 15000 trials of a simple cloth falling over a hanger. For each trial, the grasping point and the s...Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
3 jul 2020 - Universidad Autónoma de Madrid
Bonnefond, Anaïs; Courtois, Elodie A.; Sueur, Jérôme; Sugai, Larissa Sayuri Moreira; Llusia, Diego, 2020, "Climatic breadth of calling behaviour in two widespread Neotropical frogs: insights from humidity extremes", https://doi.org/10.21950/LHESKW, e-cienciaDatos, V2
Climate change is severely altering precipitation regimes at local and global scales, yet the capacity of species to cope with these changes has been insufficiently examined. Amphibians are globally endangered and particularly sensitive to moisture conditions. For mating, most am... |
3 jul 2020 -
Climatic breadth of calling behaviour in two widespread Neotropical frogs: insights from humidity extremes
Texto plano - 3,4 KB -
MD5: 47405ac185fe67c882612e6d7ea031c2
Documentación |
3 jul 2020 - Universidad Carlos III de Madrid
Ledesma Larrea, Pablo, 2018, "OMNeT++ simulation library representing and electrical distribution network", https://doi.org/10.21950/QXWDEL, e-cienciaDatos, V2
These files constitute an OMNeT++ library that simulates a distribution network. The library is described in the paper "Simulation on OMNeT++ of a Decentralized Protection System Based on Secured GOOSE Messages". To use the files: create a new OMNeT++ project, include the files i... |
Texto plano - 3,4 KB -
MD5: e9a00224ae01413b1f51ffd36b498372
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2 jul 2020 -
Climatic breadth of calling behaviour in two widespread Neotropical frogs: insights from humidity extremes
Hoja de cálculo MS Excel - 143,8 KB -
MD5: d968d6699539b15a888c24e4e2315fd9
Datos |
13 jun 2020 - Universidad Rey Juan Carlos
Miguel A. Garrido; Paloma Cáceres, 2020, "MAOn: A Data-driven Methodology to Generate Living Ontologies", https://doi.org/10.5281/ZENODO.3892954
This repository presents the MAnto Lite ontology created with our MAOn methodology in the context of transport and public and the accessibility it provides. Besides, a set of annotated data with the ontology as a validation method is presented. The MAOn methodology is characteriz...Dataset recolectado desde DataCite con autores de la URJC. El enlace le llevará directamente a los datos originales en dicho archivo. |
2 jun 2020 -
NH_JARM_2020
Texto plano - 38,9 KB -
MD5: bde1eaa0d1a22c2fc8763d186fe18d36
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2 jun 2020 -
NH_JARM_2020
Texto plano - 30,1 KB -
MD5: bf249ed5aee5ea89687d7f62dd7708cd
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2 jun 2020 -
NH_JARM_2020
Texto plano - 31,8 KB -
MD5: 9203dfdb2e7de918f0cfb180ebfe4492
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