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Texto plano - 4,3 KB - MD5: 5f4dfa9354b50ddeab0ac354bc45dbd1
Nov 12, 2024 - Universidad Politécnica de Madrid
Vega Martínez, German; Laserna Moratalla, Javier; Puente Yusty, Paloma de la, 2024, "Datos para pruebas de localización híbrida en robótica móvil", https://doi.org/10.21950/COT0N7, e-cienciaDatos, V1
Datos de sensor láser, RGB-D y odometría obtenidos con un robot Tiago real y en simulación para pruebas de localización híbrida mediante detección de marcas rectangulares.
Texto plano - 5,8 KB - MD5: 193e208cb0394c9ce7619bcf09f2e3ec
Archivo XZ - 3,6 GB - MD5: de624fd1b0a99c8ad7d04fc49d456d8e
Archivo comprimido .tar.xz que contiene archivos .rosbag incluyendo datos de láser, cámara RGB-D y odometría en formato de mensajes ROS Noetic.
Nov 11, 2024 - Universidad de Alcalá
Sainz-Urruela, Carlos; Vera-López, Soledad; Diez-Pascual, Ana María; San Andrés, María Paz, 2024, "Bioactive trans-resveratrol as dispersant of graphene in water. Molecular interactions", https://doi.org/10.21950/2QQJ3J, e-cienciaDatos, V1
Currently, the preparation of high-quality graphene (G) dispersions is crucial due to the increasing demand for this nanomaterial in a wide range of industries. However, given the strong π–π stacking tendency between G sheets, dispersant agents such as surfactants or polymers are required to attain stable and homogenous dispersions in liquid media....
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