cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/6xcg-jp45
title: Development of a Model for Forecasting LTE Network Performance during Rainy Seasons

description: Abstract— In this research, a model for LTE network performance forecast during the rainy season was developed. During the rainy season, cellular network performance is greatly affected. optimization Engineers find it difficult to ascertain cellular (LTE) network parameters that negatively influences the network performance and make a performance prediction during the rainy season. In achieving this, an experimental approach was used to study network samples collected over the LTE network of MTTN in Lagos during the rainy season for a period of 48weeks. Network parameters that are greatly affected by rainfall were identified and a model was developed for predicting and forecasting the network performance during rainy seasons. From the experimental result, Signal quality parameters such as the Referenced Signal Received Quality (RSRQ) and Signal-to-Interference Noise Ratio (SINR) become bad and negatively affect the network performance during rainy seasons. Optimization activities by cellular network operators should be geared towards improving the signal quality parameters during rainy seasons.Abstract— In this research, a model for LTE network performance forecast during the rainy season was developed. During the rainy season, cellular network performance is greatly affected. optimization Engineers find it difficult to ascertain cellular (LTE) network parameters that negatively influences the network performance and make a performance prediction during the rainy season. In achieving this, an experimental approach was used to study network samples collected over the LTE network of MTTN in Lagos during the rainy season for a period of 48weeks. Network parameters that are greatly affected by rainfall were identified and a model was developed for predicting and forecasting the network performance during rainy seasons. From the experimental result, Signal quality parameters such as the Referenced Signal Received Quality (RSRQ) and Signal-to-Interference Noise Ratio (SINR) become bad and negatively affect the network performance during rainy seasons. Optimization activities by cellular network operators should be geared towards improving the signal quality parameters during rainy seasons.
DOI: 10.21227/9y4k-fn97
title: Development of a Model for Forecasting LTE Network Performance during Rainy Seasons

description: Abstract— In this research, a model for LTE network performance forecast during the rainy season was developed. During the rainy season, cellular network performance is greatly affected. optimization Engineers find it difficult to ascertain cellular (LTE) network parameters that negatively influences the network performance and make a performance prediction during the rainy season. In achieving this, an experimental approach was used to study network samples collected over the LTE network of MTTN in Lagos during the rainy season for a period of 48weeks. Network parameters that are greatly affected by rainfall were identified and a model was developed for predicting and forecasting the network performance during rainy seasons. From the experimental result, Signal quality parameters such as the Referenced Signal Received Quality (RSRQ) and Signal-to-Interference Noise Ratio (SINR) become bad and negatively affect the network performance during rainy seasons. Optimization activities by cellular network operators should be geared towards improving the signal quality parameters during rainy seasons.Abstract— In this research, a model for LTE network performance forecast during the rainy season was developed. During the rainy season, cellular network performance is greatly affected. optimization Engineers find it difficult to ascertain cellular (LTE) network parameters that negatively influences the network performance and make a performance prediction during the rainy season. In achieving this, an experimental approach was used to study network samples collected over the LTE network of MTTN in Lagos during the rainy season for a period of 48weeks. Network parameters that are greatly affected by rainfall were identified and a model was developed for predicting and forecasting the network performance during rainy seasons. From the experimental result, Signal quality parameters such as the Referenced Signal Received Quality (RSRQ) and Signal-to-Interference Noise Ratio (SINR) become bad and negatively affect the network performance during rainy seasons. Optimization activities by cellular network operators should be geared towards improving the signal quality parameters during rainy seasons.
DOI: 10.17632/559kb329p2.1
title: AhKin: A modular and efficient code for the Doppler shift attenuation method

description: We present a set of programs for measuring lifetimes tau of nuclear states by the Doppler shift attenuation method (DSAM). The algorithms are based on the analysis of a probabilistic model of the processes occurring during a DSAM experiment. This analysis allows us to formulate the calculation of the theoretical lineshape as the application of an integral transform that converts the probability density of the cascade time (the time elapsed from nucleus creation to state decay) into the probability density of the (scaled) photon energy in the laboratory reference frame. The kernel of this integral transform, which encapsulates information related to the processes of nuclei stopping and photon detection, is independent of the state decay process, and hence needs not be recalculated on every trial of a candidate tau-value, allowing for fast computation of theoretical lineshapes. Further efficiency is gained by using algorithms that approximate continuous random variables by suitably chosen discrete ones. These codes were used to measure the lifetimes and sidefeeding times of the excited states of the normally deformed bands of 83Y (Rodríguez, et al. 2019) finding for all states good agreement between the experimental lineshape and the best-fitting theoretical one.
DOI: 10.17632/h3k3fg6szb.1
title: The AbinitioD$\Gamma$A Project v1.0: Non-local correlations beyond and susceptibilities within dynamical mean-field theory

description: The ab initio extension of the dynamical vertex approximation (D$\Gamma$A) method allows for realistic materials calculations that include non-local correlations beyond GW and dynamical mean-field theory. Here, we discuss the AbinitioD$\Gamma$A algorithm, its implementation and usage in detail, and make the program package available to the scientific community.
DOI: 10.18112/openneuro.ds002149.v1.0.0
title: Conditional Visual Associative Learning Task
DOI: 10.18112/openneuro.ds002149.v1.0.1
title: Conditional Visual Associative Learning Task
DOI: 10.18112/openneuro.ds002149.v1.0.2
title: Conditional Visual Associative Learning Task
DOI: 10.17632/7ywzjng9t5.1
title: SternheimerGW: A program for calculating GW quasiparticle band structures and spectral functions without unoccupied states

description: The SternheimerGW software uses time-dependent density-functional perturbation theory to evaluate GW quasiparticle band structures and spectral functions for solids. Both the Green’s function G and the screened Coulomb interaction W are obtained by solving linear Sternheimer equations, thus overcoming the need for a summation over unoccupied states. The code targets the calculation of accurate spectral properties by convoluting G and W using a full frequency integration. The linear response approach allows users to evaluate the spectral function at arbitrary electron wavevectors, which is particularly useful for indirect band gap semiconductors and for simulations of angle-resolved photoelectron spectra. The software is parallelized efficiently, integrates with version 6.3 of Quantum Espresso, and is continuously monitored for stability using a test farm.
DOI: 10.17632/brrgt645bh.2
title: VOFTools 3.2: Added VOF functionality to initialize the liquid volume fraction in general convex cells

description: An updated version of the VOFTools library for convex geometries is presented to add a functionality for volume fraction initialization, which is important for any VOF (volume of fluid) method. The earlier version of the library includes efficient analytical and geometrical routines for area and volume computation, truncation operations that typically arise in VOF methods, area and volume conservation enforcement in PLIC (piecewise linear interface calculation) reconstruction and computation of the distance from a given point to the reconstructed interface. The updated version incorporates an accurate initialization procedure, based on local grid refinement, to determine the liquid region bounded by a convex polygonal or polyhedral cell and a given implicitly-defined liquid interface. Also, two bugs have been fixed. 2D and 3D tests are provided in the software package to assess the accuracy of the implemented initialization procedure.
DOI: 10.17632/szkvkhm7z2.1
title: The Evaluation of Factors Influencing Adoption of Electric Vehicles in Malaysia: A Structural Equation Modelling (SEM) Analysis

description: The datasets designated in this article were obtained as a result of 10 months of data collection, carried out between august 2017 and May 2018 in Kuala Lumpur, Malaysia. The aim of study was to evaluate the factors Influencing adoption of electric vehicles in Malaysia.
DOI: 10.21227/0nxx-vz14
title: Superjunction turn-off switching waveforms

description: superjunction mosfets turn-off switching waveforms
DOI: 10.14469/hpc/6041
title: (S,S,S), methyl equatorial, N eq +BJ, -1625.871087

description: Gaussian Calculation
DOI: 10.17632/f2k874kxfy.1
title: CHALLENGES, INTERVENTIONS AND STRATEGIC DEPLOYMENT OF ICT IN RURAL AGRI BUSINESS I

description: The requirement analysis data was collected from the Beneficiaries which is given in the first sheet of the data The post evaluation technique of the portal data was again collected from persons belonging to different category. This is again an open ended questionnaire on a Likert scale of 5 and coded for evaluation. The questions were collected bilingually i.e. both in English and Tamil to make people familiar with the content of Researach The data was evaluated in SPSS (17) for Average Variance, Correlation among the latent variables , Cronbach, R square
DOI: 10.17632/s3rpb5d9j3.1
title: NCrystal: A library for thermal neutron transport

description: An open source software package for modelling thermal neutron transport is presented. The code facilitates Monte Carlo-based transport simulations and focuses in the initial release on interactions in both mosaic single crystals as well as polycrystalline materials and powders. Both coherent elastic (Bragg diffraction) and incoherent or inelastic (phonon) scattering are modelled, using basic parameters of the crystal unit cell as input. Included is a data library of validated crystal definitions, standalone tools and interfaces for C++, C and Python programming languages. Interfaces for two popular simulation packages, Geant4 and McStas, are provided, enabling highly realistic simulations of typical components at neutron scattering instruments, including beam filters, monochromators, analysers, samples, and detectors. All interfaces are presented in detail, along with the end-user configuration procedure which is deliberately kept user-friendly and consistent across all interfaces. An overview of the relevant neutron scattering theory is provided, and the physics modelling capabilities of the software are discussed. Particular attention is given here to the ability to load crystal structures and form factors from various sources of input, and the results are benchmarked and validated against experimental data and existing crystallographic software. Good agreements are observed.
DOI: 10.17632/schjsjfn3x.1
title: Data for 4 essential and 5 non-essential elements in fish collected in Arctic and sub-Arctic territories of the Nenets Autonomous and Arkhangelsk Regions of Russia

description: The data reported the concentration of essential and non-essential elements in fish coughed in Arctic and sub-Arctic territories of Arkhangelsk and Nenets Autonomous regions of Russia.
DOI: 10.18112/openneuro.ds002149.v1.0.3
title: Conditional Visual Associative Learning Task
DOI: 10.21227/xppw-fk75
title: Kinetic Energy H

description: Inconvenience regretted, please visit page in september/october.Dont want to cancel account,as do have something to upload but busy in some other problem. There is problem with dataset,This dataset is in support of research paper claim (not breakthrough),though there can be various configurations butIt is expected that this design will be practically used by industries, so
DOI: 10.17632/7r7nb3932w.1
title: Data for: Same, but different? Testing monetary policy shock measures

description: This folder contains the replication files to carry out the analysis in Ettmeier, Kriwoluzky (2019).
DOI: 10.17632/9kxrzr96ww.1
title: Nauticle: A general-purpose particle-based simulation tool

description: Nauticle is a general-purpose simulation tool for the flexible and highly configurable application of particle-based methods of either discrete or continuum phenomena. The paper introduces a novel approach to the implementation which handles a general formulation composed of user-defined expressions and interaction-laws covering an extensive range of particle-based methods. As a result, Nauticle has three distinct levels for users and developers. At the top level, the Symbolic Form Language (SFL) of Nauticle facilitates the formulation of user-defined numerical models in text-based configuration files. The SFL can be intuitively extended at the intermediate level with new particle methods without tedious recoding or even the knowledge of the bottom level. The paper presents the structure of the underlying general algorithm; then the top two levels are discussed in detail and illustrated by simple application examples. Finally, the efficiency of the code is also tested through a performance benchmark.
DOI: 10.17632/jvy9s7y2yw.2
title: Improving the Sensitivity of FESTA Methods for the Analysis of Fluorinated Mixtures

description: Bruker pulse program codes and experimental data for MODO- and SRI-FESTA methods for the analysis of mixtures of 19F-containing species. ************************* EXPERIMENTAL DATA **************************************** Experimental data can be found here: \data\MODO-FESTA\nmr The experimental data provided here are those used and described in the main text and supporting information of the accompanying publication. Sample: mixture containing 1-chloro-1,1-difluoropentan-2-ol, dexamethasone, 2-fluorophenol, 3-fluorophenol and 4-fluorophenol in 0.7 mL of DMSO-d6. - Figure2 a) Experiment 1 - 1D 19F{1H} NMR of the mixture b) Experiment 2 - 1D 1H{19F} NMR of the mixture c) Experiment 3 - 1D 1H{19F} MODO-FESTA of 1-chloro-1,1-difluoropentan-2-ol d) Experiment 4 - 1D 1H{19F} MODO-FESTA of dexamethasone (H8) e) Experiment 5 - 1D 1H{19F} MODO-FESTA of dexamethasone (H11) f) Experiment 6 - 1D 1H{19F} MODO-FESTA of 2-fluorophenol g) Experiment 7 - 1D 1H{19F} MODO-FESTA of 3-fluorophenol h) Experiment 8 - 1D 1H{19F} MODO-FESTA of 4-fluorophenol - Figure3 a) Experiment 1 - 1D 19F{1H} NMR of the mixture b) Experiment 2 - 1D 1H{19F} NMR of the mixture c) Experiment 3 - 1D 1H{19F} MODO-FESTA of 1-chloro-1,1-difluoropentan-2-ol (1H selective pulse 11.66 ms) d) Experiment 4 - 1D 1H{19F} SRI-FESTA of 1-chloro-1,1-difluoropentan-2-ol (1H selective pulse 11.66 ms) e) Experiment 5 - 1D 1H{19F} MODO-FESTA of 1-chloro-1,1-difluoropentan-2-ol (1H selective pulse 2.33 ms) f) Experiment 6 - 1D 1H{19F} SRI-FESTA of 1-chloro-1,1-difluoropentan-2-ol (1H selective pulse 2.33 ms) - Figure4 a) Experiment 1 - 1D 19F{1H} NMR of the mixture b) Experiment 2 - 1D 1H{19F} NMR of the mixture c) Experiment 3 - 1D 1H{19F} MODO-FESTA of dexamethasone (H8) d) Experiment 4 - 1D 1H{19F} SRI-FESTA of dexamethasone (H8) - FigureS2 a) Experiment 1 - 1D 19F{1H} NMR of the mixture b) Experiment 2 - 1D 1H NMR of the mixture c) Experiment 3 - 1D 1H NMR of 1-chloro-1,1-difluoropentan-2-ol d) Experiment 4 - 1D 1H NMR of dexamethasone e) Experiment 5 - 1D 1H NMR of 2-fluorophenol f) Experiment 6 - 1D 1H NMR of 3-fluorophenol g) Experiment 7 - 1D 1H NMR of 4-fluorophenol ******************************************** PULSE PROGRAM CODES ******************************************** Bruker pulse program codes can be found here: \data\pp 1) MODO-FESTA_QNP (suitable for QNP probe) 2) SRI-FESTA_QNP (suitable for QNP probe) =============================================================================================================
DOI: 10.17632/m27gmn5p8c.1
title: External market guidelines for incubated companies: internationalization predictors

description: Incubation affects company internationalization positively. This study aimed at analysing the external market guidelines for companies installed in business incubators. Relevant recent literature on management research was reviewed for this study. Although some studies reflected on the entry of start-ups in external markets, no relevant literature was found regarding the role of incubators in the successful internationalization of incubated companies. In order to fill the gap found in literature, this study focused on assessing what measures taken by Portuguese incubators and what incubated companies’ profiles would be internationalization predictors from the entrepreneur standpoint. The survey created for this study was inspired by the studies of Engelman and Fracasso (2013) and was answered by entrepreneurs of incubated companies based in Portugal. Results suggest that specific external market entry predictors identified by entrepreneurs are company characteristics such as: CEO gender, number of employees and number of foreign team members. This study shows that entrepreneurs are not aware of what incubator measures are internationalization predictors and believe the internal potential of each start-up is the reason behind this successful market entry. Also, these findings bring up a debate about how incubators can adapt their offer to match such predictors.
DOI: 10.17632/sv5vkb3f9f.1
title: Data for: Was the New Deal Expansionary?

description: The file replicates Figures 1-3 shown in the paper.
DOI: 10.17632/hgc34yd3m3.1
title: AADIS: An atomistic analyzer for dislocations character and distribution

description: In atomistic simulations of crystal plasticity, the characterization and representation of the dislocation core structure play a significant role for the understanding of mechanical behavior for crystalline materials. For this purpose, we present an accurate and convenient command-line tool: Atomistic Analyzer for DISlocations character and distribution (AADIS) for the post-analysis of the defective structures observed in various atomistic simulations. The program has implemented the displacement vector analysis (DVA), the atomic strain tensor analysis (STA), the differential displacement analysis (DDA), the slip vector analysis (SVA), the interplanar disregistry analysis (IDA) and the Nye tensor analysis (NTA). Among these functionalities, a specific implementation of the program includes the extension of the NTA method and the characterization of misfit dislocations at bicrystal interfaces by various methods. The automatic feature provides a high throughput solution to the specific atomistic analysis on a batch of atomic configurations. Furthermore, several critical remarks on the advantages and shortcomings of each analysis method are revealed and discussed comprehensively, which provides guidance for their applications in atomistic simulations.
DOI: 10.17632/sj77xf5m9v.1
title: Zn-Biofortificación on cherry tomatoes

description: Developmental and analitical data from Zn biofortification on cherry tomatoes.
DOI: 10.17632/sj77xf5m9v.2
title: Zn-Biofortificación on cherry tomatoes

description: Developmental and analitical data from Zn biofortification on cherry tomatoes.
DOI: 10.17632/sj77xf5m9v.3
title: Zn-Biofortificación on cherry tomatoes

description: Guzman, Miguel; Sainz, Luis; Guzmán, Ana Isabel (2019), “Zn-Biofortificación on cherry tomatoes”, Mendeley Data, V3, doi: 10.17632/sj77xf5m9v.3 Developmental and analitical data from Zn biofortification on cherry tomatoes.
DOI: 10.5281/zenodo.3376706
title: An Alkyne Linchpin Strategy for Drug:Pharmacophore Conjugation: Experimental and Computational Realization of a meta-selective Inverse Sonogashira Coupling

description: This folder contains the output log files of the study of Pd-catalysed alkynylation entitled "A Linchpin Approach to Access Drug-Pharmacophore Conjugate by Inverse Sonogashira at meta-Position: Experimental and Computational Exploration" The folder structure is organised as below: /0_sm/: starting materials for the reactions /1_alkynylation_of_1b/: alkynylation reaction using substrate 1b, including regioconvergence studies /2_alkynylation_of_1b_aa_ligand/: alkynylation (C-H activation and 1,2-migratory insertion) reaction using MPAA ligand instead of acetate /3_alkynylation_of_1b_copper/: alkynylation involving Cu(OAc)2 additive /4_arene_site_selectivity_ortho_para/: site selectivity studies for C-H activation /5_alternative_oxidative_addition_TSs/: oxidative addition TSs that all have higher activation barriers that 1,2-migratory insertion TSs /6_ethynyltrimethylsilane_1c/: alkynylation reaction using substrate 1c, including regioconvergence studies /7_bromoethynylbenzene_1d/: alkynylation reaction using substrate 1d, including regioconvergence studies /8_other_substrates/: alkynylation reaction using - substrates 1e-1h (TIPS-, TBDMS-, TES-alkynyl bromide and siloxy-substituted alkynyl bromide), - arene substrates 4, 5, 12 having different substituents - substrates for products 17-19 with different DG tether lengths including regioconvergence studies
DOI: 10.5281/zenodo.3376707
title: meta-selective C(sp2)–H alkynylation by Inverse Sonogashira

description: This folder contains the output log files of the study of Pd-catalysed alkynylation entitled "A Linchpin Approach to Access Drug-Pharmacophore Conjugate by Inverse Sonogashira at meta-Position: Experimental and Computational Exploration" The folder structure is organised as below: /0_sm/: starting materials for the reactions /1_alkynylation_of_1b/: alkynylation reaction using substrate 1b, including regioconvergence studies /2_alkynylation_of_1b_aa_ligand/: alkynylation (C-H activation and 1,2-migratory insertion) reaction using MPAA ligand instead of acetate /3_alkynylation_of_1b_copper/: alkynylation involving Cu(OAc)2 additive /4_arene_site_selectivity_ortho_para/: site selectivity studies for C-H activation /5_alternative_oxidative_addition_TSs/: oxidative addition TSs that all have higher activation barriers that 1,2-migratory insertion TSs /6_ethynyltrimethylsilane_1c/: alkynylation reaction using substrate 1c, including regioconvergence studies /7_bromoethynylbenzene_1d/: alkynylation reaction using substrate 1d, including regioconvergence studies
DOI: 10.17632/8pc8x7c3g6.2
title: Dataset for Boltzmann Machine Modeling of Layered MoS2 Synthesis on a Quantum Annealer

description: The data are images of 2H/1T structures within a MoS2 monolayer. Each image captures a 3-dimensional portion of the MoS2 slab. The voxel color intensity represents the distribution of atoms using a gaussian kernel from each atom position, normalized to a [0,1] range for convenient modelling using Boltzmann machines.
DOI: 10.21227/172y-sh50
title: Biometric 220x6 Human footprint

description: Present dataset intended to give human footprint a legal capacity. The human footprint can be a good candidate for biometric identification. The presented dataset has been created using EPSON 5500 Scanner, which is an ordinary PSC machine. This dataset consists of 6 right side multispectral footprints per person from 220 volunteers captured at different periods.