cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7589904
title: Vibration analysis metrics of a ball bearing during different operational states

description: This labeled dataset is provided in the form of a CSV file and contains vibration analysis metrics (v-RMS, a-RMS, a-Peak, Temperature, Crest Factor) of a 6204 2RS ball bearing by the use of an IFM VVB001 vibration sensor and measurements were captured every two minutes by the sensor device.<br> An experimental assembly was set up comprised by a 0.75kW - 1450rpm Bonfiglioli BN80B4 FD motor with an i=80 reduction gear, a coupler and an axle with the ball bearing mounted on the latter for the purpose of conducting experiments based on three operational states of the bearing in regard to the level of grease applied. Attribute description as per the sensor’s manual and operation instructions: The <strong>v-RMS</strong> (effective value of the vibration velocity) measures the total load of a rotating machine. The most frequent types of overload (unbalance, alignment errors, etc.) are reflected in the v-RMS. An increased load can damage the machine in the long term (fatigue, fatigue strength) or, in extreme cases, destroy it within a short time. It is expressed in m/s. The <strong>a-RMS </strong>(effective value of the acceleration) detects mechanical contact of machine components. This contact typically occurs in case of wear (faulty bearing, worn out toothed wheels, etc.) or problems with lubricants (contaminated grease, water in oil, etc.). It is expressed in m/s<sup>2</sup>. The <strong>a-Peak</strong> monitors the maximum value of the acceleration. Shocks in the acceleration can occur once or periodically, as in a crash, for example in the event of bearing damage. a-Peak is a measure for the forces occurring on the machine. It is expressed in m/s<sup>2</sup>. The <strong>Crest </strong>(or crest factor) is a described characteristic value of the signal analysis. It is defined as the ratio of the maximum value to the effective value (peak/RMS). In condition monitoring the characteristic value is used for the evaluation of the bearing condition. The high-frequency signals with a short pulse duration of a bearing damage generate higher peak values in relation to the effective value. This relation can be read from the crest factor. The <strong>Temperature </strong>attribute is self explanatory and is expressed in degrees of Celsius. Labels of the <strong>Bearing State</strong> regarding the recorded measurements:<br> 1 - sealed ball bearing with recommended amount of industrial grease<br> 2 - unsealed ball bearing with no amount of grease<br> 3 - unsealed ball bearing with excess amount of grease This dataset was produced for the purpose of training an Artificial Neural Network model for the task of multi-class classification in the frames of a Predictive Maintenance strategy.
DOI: 10.5281/zenodo.7589903
title: Vibration analysis metrics of a ball bearing during different operational states

description: This labeled dataset is provided in the form of a CSV file and contains vibration analysis metrics (v-RMS, a-RMS, a-Peak, Temperature, Crest Factor) of a 6204 2RS ball bearing by the use of an IFM VVB001 vibration sensor and measurements were captured every two minutes by the sensor device.<br> An experimental assembly was set up comprised by a 0.75kW - 1450rpm Bonfiglioli BN80B4 FD motor with an i=80 reduction gear, a coupler and an axle with the ball bearing mounted on the latter for the purpose of conducting experiments based on three operational states of the bearing in regard to the level of grease applied. Attribute description as per the sensor’s manual and operation instructions: The <strong>v-RMS</strong> (effective value of the vibration velocity) measures the total load of a rotating machine. The most frequent types of overload (unbalance, alignment errors, etc.) are reflected in the v-RMS. An increased load can damage the machine in the long term (fatigue, fatigue strength) or, in extreme cases, destroy it within a short time. It is expressed in m/s. The <strong>a-RMS </strong>(effective value of the acceleration) detects mechanical contact of machine components. This contact typically occurs in case of wear (faulty bearing, worn out toothed wheels, etc.) or problems with lubricants (contaminated grease, water in oil, etc.). It is expressed in m/s<sup>2</sup>. The <strong>a-Peak</strong> monitors the maximum value of the acceleration. Shocks in the acceleration can occur once or periodically, as in a crash, for example in the event of bearing damage. a-Peak is a measure for the forces occurring on the machine. It is expressed in m/s<sup>2</sup>. The <strong>Crest </strong>(or crest factor) is a described characteristic value of the signal analysis. It is defined as the ratio of the maximum value to the effective value (peak/RMS). In condition monitoring the characteristic value is used for the evaluation of the bearing condition. The high-frequency signals with a short pulse duration of a bearing damage generate higher peak values in relation to the effective value. This relation can be read from the crest factor. The <strong>Temperature </strong>attribute is self explanatory and is expressed in degrees of Celsius. Labels of the <strong>Bearing State</strong> regarding the recorded measurements:<br> 1 - sealed ball bearing with recommended amount of industrial grease<br> 2 - unsealed ball bearing with no amount of grease<br> 3 - unsealed ball bearing with excess amount of grease This dataset was produced for the purpose of training an Artificial Neural Network model for the task of multi-class classification in the frames of a Predictive Maintenance strategy.
DOI: 10.25318/1810028101-eng
title: For-hire motor carrier freight services price index, monthly

description: For-hire motor carrier freight services price index (FHMCFSPI) by North American Industry Classification System (NAICS). Monthly data are available from January 2007. The table presents data for the most recent reference period and the last four periods. The base period for the index is (2021=100).
DOI: 10.25318/1810028101-fra
title: Indice des prix des services de camionnage pour compte d'autrui, mensuel
DOI: 10.17632/2rxvgbsnhx.2
title: DAMQT 3: Advanced suite for the analysis of molecular density and related properties in large systems

description: A new version of the DAMQT package specially developed for large systems is reported. The graphical part has been entirely redesigned, using new OpenGL libraries (versions 3.3 or higher) for 3D display. Several 2D plotters and 3D viewers can be launched now in the same session and more than one molecule can be loaded in the same 3D window. Algorithms have been rescaled and modified to work with densities coming from ZDO computations in very big molecular systems (up to thousands of atoms) at a very moderate cost. New functionalities have been added including computation of molecular electrostatic potential over a molecular surface determined as a user-defined density isosurface. The method of Electrostatics for Intermolecular Complexation has been added to the package to serve as an auxiliary tool for cluster geometry optimization. Examples are provided which prove the good performance of the algorithms.
DOI: 10.17632/3pxfrz8cmn.1
title: Simulation of dark bremsstrahlung in Geant4

description: A technique for the simulation of dark bremsstrahlung for electrons and muons in Geant4 is presented. The total cross section is calculated using the Weizsäcker-Williams approximation and the outgoing kinematics are produced by scaling events produced in MadGraph/MadEvent to lower incident lepton energies, allowing the simulation to account for thick targets and lepton sources without fixed energies. Compared with dedicated samples produced at an arbitrary particle energy, typical precision of better than 5% is achieved.
DOI: 10.17632/44vr5xssc6.1
title: - CosmoLattice - A modern code for lattice simulations of scalar and gauge field dynamics in an expanding universe

description: This paper describes CosmoLattice, a modern package for lattice simulations of the dynamics of interacting scalar and gauge fields in an expanding universe. CosmoLattice incorporates a series of features that makes it very versatile and powerful: i) it is written in C++ fully exploiting the object oriented programming paradigm, with a modular structure and a clear separation between the physics and the technical details, ii) it is MPI-based and uses a discrete Fourier transform parallelized in multiple spatial dimensions, which makes it specially appropriate for probing scenarios with well-separated scales, running very high resolution simulations, or simply very long ones, iii) it introduces its own symbolic language, defining field variables and operations over them, so that one can introduce differential equations and operators in a manner as close as possible to the continuum, iv) it includes a library of numerical algorithms, ranging from O(δt^2) to O(δt^10) methods, suitable for simulating global and gauge theories in an expanding grid, including the case of ‘self-consistent’ expansion sourced by the fields themselves. Relevant observables are provided for each algorithm (e.g. energy densities, field spectra, lattice snapshots) and we note that, remarkably, all our algorithms for gauge theories (Abelian or non-Abelian) always respect the Gauss constraint to machine precision.
DOI: 10.17632/4hk9rbw4y8.1
title: Evaluation of Feynman integrals with arbitrary complex masses via series expansions

description: We present an algorithm to evaluate multiloop Feynman integrals with an arbitrary number of internal massive lines, with the masses being in general complex-valued, and its implementation in the Mathematica package SeaSyde. The implementation solves by series expansions the system of differential equations satisfied by the Master Integrals. At variance with respect to other existing codes, the analytical continuation of the solution is performed in the complex plane associated to each kinematical invariant. We present the results of the evaluation of the Master Integrals relevant for the NNLO QCD-EW corrections to the neutral-current Drell-Yan processes.
DOI: 10.17632/4vh76mnkv5.1
title: WanTiBEXOS: A Wannier based Tight Binding code for electronic band structure, excitonic and optoelectronic properties of solids

description: The Bethe–Salpeter equation (BSE) approach becomes a methodology commonly used for simulating excitonic and optical properties in computer materials sciences. However, BSE approach based directly on first principles demands a high computational cost, being prohibitive for larger systems. In order to overcome this challenge, we have developed WanTiBEXOS, a parallel computational FORTRAN code, constituted of a maximally localized Wannier functions based tight-binding (MLWF-TB) model in conjunction with BSE framework. The MLWF-TB Hamiltonian used in WanTiBEXOS package can be obtained via any density functional theory package interfaced with Wannier90 code. It's expected, due MLWF-TB formalism, a computational time reduction around one or more orders of magnitude in comparison with BSE ab initio implementations. In order to demonstrate its reliability, flexibility, efficiency and versatility of WanTiBEXOS, we simulate electronic and optical property calculations for the representative materials, including conventional bulk semiconductors, perovskites, nano-monolayer materials and van der Waals heterostructures.
DOI: 10.25318/1810028201-eng
title: For-hire motor carrier freight services price index, quarterly

description: For-hire motor carrier freight services price index (FHMCFSPI) by North American Industry Classification System (NAICS). Quarterly data are available from the first quarter of 2007. The table presents data for the most recent reference period and the last four periods. The base period for the index is (2021=100).
DOI: 10.17632/5w2fjk4h3y.1
title: SPIN: [S]imple [P]ython [I]pywidgets [N]otebook interface to obtain the optoelectronic properties of materials employing DFT

description: The Simple Python Ipywidgets Notebook interface to obtain the optoelectronic properties of materials (SPIN) is an open source graphical user interface that allows users to work with standard SIESTA files and perform end-to-end atomic level simulation processes. It contains the complete flow, from the construction and visualization of structures or systems until the pre-processing, execution, and post-processing of calculations such as structure optimization, electronic properties like band structure, density of states (DOS), and optical properties. SPIN is an easy-to-use and fast-learning solution written in Python and built from Ipywidgets. However, the end-user can use all available features without the need for Python language knowledge.
DOI: 10.17632/5y43rjdmxd.2
title: Geometric multigrid method for solving Poisson's equation on octree grids with irregular boundaries

description: A method is presented to include irregular domain boundaries in a geometric multigrid solver. Dirichlet boundary conditions can be imposed on an irregular boundary defined by a level set function. Our implementation employs quadtree/octree grids with adaptive refinement, a cell-centered discretization and pointwise smoothing. Boundary locations are determined at a subgrid resolution by performing line searches. For grid blocks near the interface, custom operator stencils are stored that take the interface into account. For grid block away from boundaries, a standard second-order accurate discretization is used. The convergence properties, robustness and computational cost of the method are illustrated with several test cases.
DOI: 10.17632/65sx747rvm.2
title: Real-time data processing for ultrafast X-ray computed tomography using modular CUDA based pipelines

description: In this article, a new version of the Real-time Image Stream Algorithms (RISA) data processing suite is introduced. It now features online detector data acquisition, high-throughput data dumping and enhanced real-time data processing capabilities. The achieved low-latency real-time data processing extends the application of ultrafast electron beam X-ray computed tomography (UFXCT) scanners to real-time scanner control and process control. We implemented high performance data packet reception based on data plane development kit (DPDK) and high-throughput data storing using both hierarchical data format version 5 (HDF5) as well as the adaptable input/output system version 2 (ADIOS2). Furthermore, we extended RISA's underlying pipelining framework to support the fork-join paradigm. This allows for more complex workflows as it is necessary, e.g. for online data processing. Also, the pipeline configuration is moved from compile-time to runtime, i.e. processing stages and their interconnections can now be configured using a configuration file. In several benchmarks, RISA is profiled regarding data acquisition performance, data storage throughput and overall processing latency. We found that using direct IO mode significantly improves data writing performance on the local data storage. We could further prove that RISA is now capable of concurrently receiving, processing and storing data from up to 768 detector channels (3072 MB/s) at 8000 fps on a single-GPU computer in real-time.
DOI: 10.17632/6fm7d4m2py.1
title: dmscatter: A fast program for WIMP-nucleus scattering

description: Recent work [1], [2], using an effective field theory framework, have shown the number of possible couplings between nucleons and the dark-matter-candidate Weakly Interacting Massive Particles (WIMPs) is larger than previously thought. Inspired by an existing Mathematica script that computes the target response [2], we have developed a fast, modern Fortran code, including optional OpenMP parallelization, along with a user-friendly Python wrapper, to swiftly and efficiently explore many scenarios, with output aligned with practices of current dark matter searches. A library of most of the important target nuclides is included; users may also import their own nuclear structure data, in the form of reduced one-body density matrices. The main output is the differential event rate as a function of recoil energy, needed for modeling detector response rates, but intermediate results such as nuclear form factors can be readily accessed.
DOI: 10.25318/1810028201-fra
title: Indice des prix des services de camionnage pour compte d'autrui, trimestriel

description: Indice des prix des services de camionnage pour compte d'autrui (IPSCCA) selon le Système de classification des industries de l'Amérique du Nord (SCIAN). Les données trimestrielles sont disponibles à partir du premier trimestre de 2007. Le tableau présente les données de la période de référence la plus récente et des quatre dernières périodes. La période de base de l’indice est (2021=100).
DOI: 10.17632/6nfrwy7ptj.1
title: FabSim3: An automation toolkit for verified simulations using high performance computing

description: A common feature of computational modelling and simulation research is the need to perform many tasks in complex sequences to achieve a usable result. This will typically involve tasks such as preparing input data, pre-processing, running simulations on a local or remote machine, post-processing, and performing coupling communications, validations and/or optimisations. Tasks like these can involve manual steps which are time and effort intensive, especially when it involves the management of large ensemble runs. Additionally, human errors become more likely and numerous as the research work becomes more complex, increasing the risk of damaging the credibility of simulation results. Automation tools can help ensure the credibility of simulation results by reducing the manual time and effort required to perform these research tasks, by making more rigorous procedures tractable, and by reducing the probability of human error due to a reduced number of manual actions. In addition, efficiency gained through automation can help researchers to perform more research within the budget and effort constraints imposed by their projects.

This paper presents the main software release of FabSim3, and explains how our automation toolkit can improve and simplify a range of tasks for researchers and application developers. FabSim3 helps to prepare, submit, execute, retrieve, and analyze simulation workflows. By providing a suitable level of abstraction, FabSim3 reduces the complexity of setting up and managing a large-scale simulation scenario, while still providing transparent access to the underlying layers for effective debugging. The tool also facilitates job submission and management (including staging and curation of files and environments) for a range of different supercomputing environments. Although FabSim3 itself is application-agnostic, it supports a provably extensible plugin system where users automate simulation and analysis workflows for their own application domains. To highlight this, we briefly describe a selection of these plugins and we demonstrate the efficiency of the toolkit in handling large ensemble workflows.
DOI: 10.17632/6w9ygpygmc.3
title: GenASiS Basics: Object-oriented utilitarian functionality for large-scale physics simulations (Version 4)

description: GenASiS Basics provides modern Fortran classes furnishing extensible object-oriented utilitarian functionality for large-scale physics simulations on distributed memory supercomputers. This functionality includes physical units and constants; display to the screen or standard output device; message passing; I/O to disk; and runtime parameter management and usage statistics. This revision—Version 4 of Basics—includes a name change and additions to functionality, including the facilitation of direct communication between GPUs.
DOI: 10.17632/723n5r797n.1
title: Deneb: An open-source high-performance multi-physical flow solver based on high-order DRM-DG method

description: High-order methods are being recognized as powerful tools for handling scale-resolving simulations over complex geometry. However, several obstacles still block their complete applications to practical engineering problems: a compromise between accuracy and efficiency on mixed-curved meshes, inherent vulnerability to numerical oscillations, and lack of open-source high-performance solvers for researchers. To address these issues, we present Deneb, an open-source high-order accurate numerical solver that enables high-performance scale-resolving simulations on PDE-based flow systems. Deneb uses the physical domain-based modal discontinuous Galerkin (DG) method; thus, it can provide an arbitrary high-order accurate solution on mixed-curved meshes and has the potential for handling polyhedral meshes as well. The direct reconstruction method (DRM) efficiently executes the numerical integration of DG volume and surface integrals without accuracy loss on non-affine elements where mapping functions are high-degree. The resulting DRM-DG method eliminates the severe cost of a quadrature-based approach on mixed-curved meshes. Deneb offers explicit and implicit Runge–Kutta methods as well to achieve high-order accuracy in time. In addition, Krylov subspace methods and preconditioners are available for high-performance linear system solving in parallel. Deneb possesses a strong capability to resolve multi-physical shocks without numerical instabilities with the aid of multi-dimensional limiting and artificial viscosity methods. In particular, the hierarchical multi-dimensional limiting process enables efficient computations of supersonic flows without time-step restriction. The current release of Deneb covers the simulations of hypersonic equilibrium and magneto-hydrodynamic flows as well as compressible Navier–Stokes equations, but it has the potential to solve any PDE-based multi-physical flow systems. Several benchmark problems are presented to highlight Deneb's capability to perform scale-resolving and multi-physical flow simulations. A scalability test is also presented to verify the scaling characteristics of Deneb for high-performance computing.
DOI: 10.17632/738py2shk4.1
title: HORSES3D: A high-order discontinuous Galerkin solver for flow simulations and multi-physics applications

description: We present the latest developments of our High-Order Spectral Element Solver (HORSES3D), an open source high-order discontinuous Galerkin framework, capable of solving a variety of flow applications, including compressible flows (with or without shocks), incompressible flows, various RANS and LES turbulence models, particle dynamics, multiphase flows, and aeroacoustics. We provide an overview of the high-order spatial discretisation (including energy/entropy stable schemes) and anisotropic p-adaptation capabilities. The solver is parallelised using MPI and OpenMP showing good scalability for up to 1000 processors. Temporal discretisations include explicit, implicit, multigrid, and dual time-stepping schemes with efficient preconditioners. Additionally, we facilitate meshing and simulating complex geometries through a mesh-free immersed boundary technique. We detail the available documentation and the test cases included in the GitHub repository.