This dataset supports a study, which proposes a scalable methodology to evaluate the vulnerability of road networks to flood-induced disruptions. The methodology combines publicly available geospatial data, flood hazard maps, and macroscopic traffic simulation using SUMO (Simulation of Urban Mobility) to assess the network-wide impact of bridge closures. The case study focuses on the Alessandria province in Northern Italy, a flood-prone region intersected by major motorways and rivers. Hi...
Dataset and codes to allow the reproducibility of the results presented in the publication: S. Dulla, N. Abrate, P.Ravetto, P. Saracco, M. Carta, V. Fabrizio, V. Peluso, "Impact of energy collapsing on the effective neutron lifetime", Annals of Nuclear Energy, 2025 (111550), https://doi.org/10.1016/j.anucene.2025.111550
Dataset and codes to allow the reproducibility of the results presented in the publication: N. Abrate, A. Aimetta, M. Massone, S. Dulla, P.Ravetto, "A genetic-driven optimisation of the energy grid structure for nodal full-core calculations in LFR", Nuclear Science and Engineering, 2025 (PHYSOR 2024 special issue), https://doi.org/10.1080/00295639.2024.2446130
This dataset provides products derived from the Lunar GNSS Receiver Experiment (LuGRE). It is a public dataset containing raw GNSS observables and signal sample batches acquired by the LuGRE payload throughout Firefly’s Blue Ghost Mission 1 (BGM1). The dataset contains: - Raw observable data for GPS and Galileo L1/E1 and L5/E5 bandwidth, - Signal samples for L1/E1 and L5/E5 bandwidth.
The Open Source Molecular Field-Coupled Nanocomputing (MolFCN) Physical Design Kit, managed by the Quantum and Nanosystem (QNANO) at Politecnico di Torino, provides a set of PDKs for the Molecular Field-Coupled (MolFCN) technology.
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