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The data sets provided here can be used to recreate the plots of the paper “Analytical Framework for Precise Relative Motion in Low Earth Orbits” available at this link. That paper presents a practical and efficient analytical framework for the precise modelling of the relative motion in low Earth orbits. {"references": ["Gaias, G., Colombo, C., & Lara, M.. (2020). Analytical Framework for Precise Relative Motion in Low Earth Orbits. [Data set] Zenodo. http://doi.org/10.5281/zenodo.3734154"]}

Data used for figures in paper: Berto et al., Prospects for single photon sideband cooling of optically trapped neutral atoms, 2021. Data is organized in single files fig1.csv, fig2.csv, ..., etc, each containing columns of <x> and <y> used to create the curves in the given figure. Abstract: We propose a novel cooling scheme for realising single photon sideband cooling on particles trapped in a state-dependent optical potential. We develop a master rate equation from an ab-initio model and find that in experimentally feasible conditions it is possible to drastically reduce the average occupation number of the vibrational levels by applying a frequency sweep on the cooling laser that sequentially cools all the motional states. Notably, this cooling scheme works also when a particle experiences a deeper trap in its internal ground state than in its excited state, a condition for which conventional single photon sideband cooling does not work. In our analysis, we consider two cases: a two-level particle confined in an optical tweezer and Li atoms confined in an optical lattice, and find conditions for efficient cooling in both cases. The results from the model are confirmed by a full quantum Monte Carlo simulation of the system Hamiltonian. Our findings provide an alternative cooling scheme that can be applied in principle to any particle, e.g. atoms, molecules or ions, confined in a state-dependent optical potential. FARE-MIUR grant UltraCrystals (Grant No. R165JHRWR3)

Raw data obtained from the Enhanced Gaussian Noise (EGN) model for a theoretical study of nonlinear interference on FDHMF signals. The system parameters are matched with the experimental campaign: 21 WDM channels at 32 Gbaud each, spaced by 50 GHz. The propagation is performance over PSCF with ideal lumped amplification.

This dataset contains the tables and the vector data (shapefiles - ESRI format) produced, interpreted, and used to support the findings of the study reported in the paper: Late-Quaternary tectonics along the peri-Adriatic sector of the Apenninic chain (central-southern Italy): inspecting active shortening through topographic relief and fluvial network analysis Federica Ferrarini (f.ferrarini@unich.it), J Ramón Arrowsmith, Francesco Brozzetti, Rita de Nardis, Daniele Cirillo, Kelin X Whipple, Giusy Lavecchia (2021) - Lithosphere - https://doi.org/10.2113/2020/7866617

Humans possess the ability to extract highly organized perceptual structures from sequences of temporal stimuli. For instance, we can organize specific rhythmical patterns into hierarchical, or metrical, systems. Despite the evidence of a fundamental influence of the motor system in achieving this skill, few studies have attempted to investigate the organization of our motor representation of rhythm. To this aim, we studied - in musicians and non-musicians – the ability to perceive and reproduce different rhythms. In a first experiment participants performed a temporal order-judgment task, for rhythmical sequences presented via auditory or tactile modality. In a second experiment, they were asked to reproduce the same rhythmic sequences, while their tapping force and timing were recorded. We demonstrate that tapping force encodes the metrical aspect of the rhythm, and the strength of the coding correlates with the individual’s perceptual accuracy. We suggest that the similarity between perception and tapping-force organization indicates a common representation of rhythm, shared between the perceptual and motor systems.

This dump provides access to the metadata records of publications, research data, software and projects that may be relevant to the Corona Virus Disease (COVID-19) fight. The dump contains records of the OpenAIRE COVID-19 Gateway, identified via full-text mining and inference techniques applied to the OpenAIRE Research Graph. The Graph is one of the largest Open Access collections of metadata records and links between publications, datasets, software, projects, funders, and organizations, aggregating 12,000+ scientific data sources world-wide, among which the Covid-19 data sources Zenodo COVID-19 Community, WHO (World Health Organization), BIP! FInder for COVID-19, Protein Data Bank, Dimensions, scienceOpen, and RSNA. The dump consists of a tar archive containing gzip files with one json per line. Each json is compliant to the schema available at https://doi.org/10.5281/zenodo.7492313.

We introduce LAMBADA, a dataset to evaluate the capabilities of computational models for text understanding by means of a word prediction task. LAMBADA is a collection of narrative passages sharing the characteristic that human subjects are able to guess their last word if they are exposed to the whole passage, but not if they only see the last sentence preceding the target word. To succeed on LAMBADA, computational models cannot simply rely on local context, but must be able to keep track of information in the broader discourse. We show that LAMBADA exemplifies a wide range of linguistic phenomena, and that none of several state-of-the-art language models reaches accuracy above 1% on this novel benchmark. We thus propose LAMBADA as a challenging test set, meant to encourage the development of new models capable of genuine understanding of broad context in natural language text. The LAMBADA paper can be found here.

Data set containing experimental results on B2B operation of single-carrier optical signals spanning from net bit-rates of 200G (PM-16QAM) to 250G (PM-32QAM).

We conduct in-depth analysis of statistical flow properties from Global Circulation Model that reproduce Saturn's macroturbulence, namely large-scale zonal winds. We use a high performance Global Climate Models (GCMs), named DYNAMICO, to model the atmospheric circulation of gas giants with appropriate physical parametrizations for Saturn's atmosphere. The high-resolution model DYNAMICO solves for 3D primitive equations of motion. We ran a Saturn simulation covering 15 Saturn years using the Saturn DYNAMICO GCM. Wind fields are output every 20 Saturn days at 32 pressure levels onto 1/2° latitude-longitude grid maps. Details on this Saturn reference simulation are given in Spiga et al. (2020). In addition, to diagnose the relevant 3D dynamical mechanisms in Saturn's turbulent atmosphere, we run a set of four simulations using an idealized version of our Global Climate Model devoid of radiative transfer, with a well-defined Taylor-Green forcing and over several rotation rates (4, 1, 0.5, and 0.25 times Saturn's rotation rate). Here, we deliver a full data set, including velocity maps, at different pressure levels and time steps, from which it is possible to recompute the statistical analysis detailed in Cabanes et al. (2020). The delivered data set includes: Files of our (1) data collection and (2) numerical codes that lead to the statistical analysis: (1) Data collection: A PDF file named JUMP-zonal-jets-data-collection-Icarus.pdf that describes in depththe data set and the associated nomenclature. A netcdf file of velocity fields from our Saturn Reference Simulation (SRS) uvData-SRS-istep-312000-nstep-50-niz-12.nc StatisticalData.nc A netcdf file of velocity fields from idealized simulation at 4 times the Satrun's rotation rate, uvData-Omega-4-istep-21026.0-nstep-20-niz-8.nc A netcdf file of velocity fields from idealized simulation at 1 times the Satrun's rotation rate, uvData-Omega-1-istep-21026.0-nstep-20-niz-8.nc A netcdf file of velocity fields from idealized simulation at 0.5 times the Satrun's rotation rate, uvData-Omega-0.5-istep-20626.0-nstep-20-niz-8.nc A netcdf file of velocity fields from idealized simulation at 0.25 times the Satrun's rotation rate, uvData-Omega-0.25-istep-21026.0-nstep-20-niz-8.nc (2) Numerical codes: Codes for statistical analysis in spherical geometry are on Github. --> https://github.com/scabanes/POST Acknowledgments: The authors acknowledge exceptional computing support from Grand Équipement National de Calcul Intensif (GENCI) and Centre Informatique National de l’Enseignement Supérieur (CINES). All the simulations presented in this paper were carried out on the Occigen cluster hosted at CINES. This work was granted access to the High-Performance Computing (HPC) resources of CINES under the allocations A001-0107548, A003-0107548, A004-0110391 made by GENCI. The authors acknowledge funding from Agence Nationale de la Recherche (ANR), project HEAT ANR-14-CE23-0010 and project EMERGIANT ANR-17-CE31-0007. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement N° 797012. Fruitful discussions with Sandrine Guerlet, Ehouarn Millour, Thomas Dubos, Frédéric Hourdin and Alexandre Boissinot from our team helped refine some discussions in the paper. {"references": ["Spiga, Aymeric, et al. \"Global climate modeling of Saturn's atmosphere. Part II: Multi-annual high-resolution dynamical simulations.\" Icarus 335 (2020): 113377.", "Cabanes, Simon et al. \"Global climate modeling of Saturn's atmosphere. Part III: Global statistical picture of zonostrophic turbulence in high-resolution 3D-turbulent simulations.\" arXiv preprint arXiv:2001.02473 (2020)."]}

Data set containing experimental results on the propagation of probabilistic shaping optical signals over pure silica core fiber (PSCF) inside a recirculating loop. The net bit-rate is fixed at 250G.