cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/3zgdr4fdnt
title: A novel interpretation links the subatomic particles' mass to the square of the magnetic flux quantum.

description: The motivation for investigating the issues presented in this article stemmed from a discovery that resulted from using the magnetic flux quantum that combine the Planck's constant and the Elementary charge, and combining them in the mathematical expression of Coulomb's law. The new relationship yields a novel theoretical finding that indicates that the mass of the electron is associated with the magnitude of the square of the magnetic flux quantum which makes up the particle. It reveils also a novel significance of the vacuum permittivity constant (in SI units), which also relies on a result from a different prespective demonstrated in this article through an analogy to the kinetic theory of gases. It shows that the vacuum permittivity constant is associated with the Bohr radius and it is about sixth of it. Using the concept of the nucleus motion around the center of mass shared with the electron in the Hydrogen atom, along with defineing the orbital angular momentum of the proton at the trajectory around the center of mass, resulted in finding the velocity of the proton at this trajectory. This velocity divided by the speed of light in vaccum, yields a new physical constant. The new constant and the fine structure constant are combined together along with the square of the magnetic flux quantum in most of the equations that yield results for the proton and neutron masses and their radii. Another aspect that is presented in a briefly way demonstrates the connection between the square of the magnetic flux quantum through the Bohr radius that provides a novel significance of the wave function in the atom. 
The theory presented in this article deal with the magnitudes of Universal Constants in physics. The theory presents the use of the combination of the magnetic flux quantum constant with using Universal Constants from different fields (Eelectromagnetic, Gravitation and Nuclear) and finding new relations through them that have not yet been reflected in the knowledge available today. The formalism developed in this article introduces a relationship between the masses of the electron, proton, and neutron to the square of the magnetic flux quantum. The theory presented here calculates the electron, proton, and neutron masses in a new straightforward nearly identical formulas, whose their main component is the square of the magnetic flux quantum; Another formalism yields the proton's and the neutron's radii in a newly approach. It involves the using of Natural Units constants such as Stoney and Planck's masses and the universal Gravitational Constant, which yield a new constant unfamiliar to science. With using this new constant, we obtain the proton's and the neutron's radii, and through them we calculate their Compton wavelength constants which are used to calculate their masses later. The theory also presents a novel way to describe the Planck's Mass and Length, and the Gravitation Constant through them.
DOI: 10.6084/m9.figshare.13570601.v1
title: Mangrove forest structure dataset associated to Rovai et al. 2021 in GEB

description: Dataset associated to Rovai et al. article - Macroecological patterns of forest structure and allometric scaling in mangrove forests - in Global Ecology and Biogeography
DOI: 10.6084/m9.figshare.22215616.v5
title: Experimental data of "Doc-Attentive-GAN: Attentive GAN for historical document denoising"

description: This Fighsare project contains data generated and analysed during the experiments reported in the paper "Doc-Attentive-GAN: Attentive GAN for historical document denoising" Written by H. Neji, M. Ben Halima, J. Nogueras-Iso, T.M. Hamdani, J. Lacasta, H. Chabchoub, A.M. Alimi, 2024. Doc-Attentive-GAN: attentive GAN for historical document denoising. Multimedia Tools and Applications, vol. 83, p. 55509–55525 , DOI:10.1007/s11042-023-17476-2.<br>
DOI: 10.6084/m9.figshare.24042753.v1
title: Maximum independent sets

description: Several datasets containing a numerical study done to compare three different algorithms. Aim of the study was to see which algorithms output the largest maximal independent sets. To compare to the exact solution we have calculated a maximum independent set for various graph sizes and connection probabilities. We have done this for the following graph types:Erdos-renyi graphs;Random bipartite graphs;Random geometric graphs.
DOI: 10.6084/m9.figshare.28431152.v1
title: GluA1 promotes opioid use

description: Increasing evidence suggests that long-term opioids and pain induce similar adaptive changes in the brain’s reward circuits, however, how pain alters the addictive properties of opioids remains poorly understood. In this study using a rat model of morphine self-administration (MSA), we found that short-term pain, induced by an intraplantar injection of complete Freund’s adjuvant, acutely decreased voluntary morphine intake, but not food intake, only at a morphine dose that did not affect pain itself. Pre-treatment with indomethacin, a non-opioid inhibitor of pain, before the pain induction blocked the decrease in morphine intake. In rats with steady MSA, the protein level of GluA1 subunits of glutamate AMPA receptors (AMPARs) was significantly increased, but that of GluA2 was decreased, resulting in an increased GluA1/GluA2 ratio in central nucleus of the amygdala (CeA). In contrast, pain decreased the GluA1/GluA2 ratio in the CeA of rats with MSA. Microinjection of NASPM, a selective inhibitor of homomeric GluA1-AMPARs, into CeA inhibited morphine intake. Furthermore, viral overexpression of GluA1 protein in CeA maintained morphine intake at a higher level than controls and reversed the pain-induced reduction in morphine intake. These findings suggest that CeA GluA1 promotes opioid use and its upregulation is sufficient to increase opioid consumption, which counteracts the acute inhibitory effect of pain on opioid intake. These results demonstrate that the CeA GluA1 is a shared target of opioid and pain in regulation of opioid use, which may aid in future development of therapeutic applications in opioid abuse.
DOI: 10.6084/m9.figshare.28620902.v1
title: Instances of the article: "Integrated Timetabling and Vehicle-Driver Scheduling problem" by Y.A. Ríos Solís, V. Boyer, O.J. Ibarra Rojas

description: Here are the instances and results from the paper: "Integrated Timetabling and Vehicle-Driver Scheduling problem" by Y.A. Ríos Solís, V. Boyer, O.J. Ibarra RojasThe abstract is the following: The planning process for a bus network involves systematic steps to design and optimize bus services that effectively meet the mobility needs of a community. In many developing countries, the bus operations stages, including the timetable, must be computed weekly or even daily because of the variability of the available drivers. In this work, we consider three sub-problems of the bus planning process, the Window Timetable (WT) problem and the Flexible Vehicle and Crew Scheduling (FVCS) problem, in an integrated way. In the WT problem, the frequency of the lines is given, and one seeks to determine the departure time of each trip within a given time window. The FVCS problem consists of assigning a set of trips of circular transit lines to vehicles and drivers, considering labor regulations (limited duty length, mandatory rests, restricted consecutive driving time, and limited extra working hours). We propose a novel mixed integer programming and two constraint programming approaches to solve the integrated problem for instances representing a bus network and instances representing a Bus Rapid Transit system. Our approaches exhibit the benefits of considering the timetable together with the vehicle and crew scheduling problems as a whole.
DOI: 10.6084/m9.figshare.5241445.v1
title: Erratum: Brain Evolution across the Puerto Rican Anole Radiation

description: Patterns of brain evolution have been widely studied across vertebrates, with the bulk of studies using mammals and/or birds as model systems. Within these groups, species occupying different habitats have been shown to have divergent neuroanatomy, particularly with regard to differences in the relative size of different brain structures, correlated with differences in habitat complexity. We examined the pattern of allometric scaling across the telencephalon, dorsal cortex, dorsomedial cortex, medial cortex, dorsal ventricular ridge, medulla and cerebellum in six species of Puerto Rican <i>Anolis</i> lizards, which are grouped in three distinct ecomorphs (i.e. ecological types) according to interspecific differences in preferred habitat type. The differences in habitat preferences are accompanied by morphological and behavioral adaptations for effective use of each habitat type. Our results challenge this trend and demonstrate a lack of convergence in the relative size of different brain structures between species belonging to the same ecomorph type. Overall brain volume explained between 92.5 and 99.8% of the variance in the volume of each of the brain regions measured and 93.8 and 98.5% of the variance in the volume of each component measured within the telencephalon. This pattern of brain allometry is consistent with concerted brain evolution. However, in the case of the cerebellum, interspecific differences in volume exhibit a trend in accordance with mosaic brain evolution. This suggests that both concerted and mosaic brain evolution have shaped the anole brain, with the former playing a dominant role. Concerted brain evolution is the primary mechanism shaping the brain in mammals and cartilaginous fishes, and its presence in <i>Anolis</i> lizards provides additional evidence supporting the hypothesis that concerted brain evolution might result from a conserved pattern of brain development common to all vertebrates. More generally, our findings highlight the necessity of further studies of brain evolution in reptiles as they can provide valuable insights into the mechanisms underlying vertebrate brain evolution.
DOI: 10.6084/m9.figshare.23528349.v1
title: AcoCah_orthofinderResults.tar.gz

description: Results from orthofinder analysis including Acomys cahirinus and 11 mammals.
DOI: 10.6084/m9.figshare.25928938.v1
title: Current national nature reserves are insufficient to safeguard the long-term survival of birds and mammals in China

description: Data associated with the publication: Current national nature reserves are insufficient to safeguard the long-term survival of birds and mammals in China.Enhancing the connectivity of protected areas is a global consensus for conserving biodiversity. Yet, it is unclear whether habitats are sufficiently connected within protected areas to efficiently protect wildlife populations for long-term survival. Using the perspective of functional connectivity, we evaluated the capacity and limiting factors of the 474 national nature reserves of China in protecting the long-term survival of bird and mammal populations in their internal habitats. We show that, in general, China's national nature reserves can effectively protect about one-half of the bird and mammal populations within protected areas for long-term survival. However, they can only protect 25% birds and 13% of terrestrial mammals with high motility. Areas of low conservation effectiveness are highly overlapped with PAs of small size and high intensity of human activity. Artificial landscapes such as roads and settlements, which account for less than 2% area of the PAs, disproportionately cause nearly 40% of the connectivity loss. The results suggest that maintaining high levels of functional connectivity within protected areas is as important as maintaining high connectivity in the national or global protected area networks. Our findings have important implications for improving the management of protected areas in China and beyond. The main data analyzed are the connectivity model outputs, for the data used to plot the main graphs used in this dataset.
DOI: 10.6084/m9.figshare.6265748.v1
title: gene-based data

description: Statistics for each protein-coding gene, used for the plot: Gene mean HMM states are estimators of gene disruption fitness. <br>Contains information about the HMM state for each gene s(from the MHH analysis of Hermes insertions), and <br>genelengthessential statussolid media fitness estimate (from Malecki et al. Genome Biology (2016) 17:240 DOI 10.1186/s13059-016-1101-2)<br>expresion data: log.phase.RPKMsum.mRNA.cpcsum.protein.cpc<br><br>and conservation (mean.phylop) <br><br><br>
DOI: 10.17632/nk2ysbyc8z
title: Insight into sleep quality and its relationship with Emotional Intelligence: results of a cross-sectional study among Italian university students

description: The dataset was used in a cross-sectional study aimed at examining the relationship between EI and sleep quality among undergraduate university students in Southern Italy. This study took place between the 13th and 28th of February 2023 in a representative sample of Italian university students of one public university in the Calabria Region. The information is collected through an online questionnaire that is filled in by respondents. The online survey was sent via institutional email. An anonymous and structured questionnaire was used, comprising four sections.
The first section of the questionnaire contained questions related to socio-demographic information, including gender, age, and major attended. Furthermore, each participant was questioned about whether they had any chronic diseases and, if yes, which ones. Sleep quality was investigated in the second section through the Pittsburgh Sleep Quality Index (PSQI). The EI was measured by the Trait Meta-Mood Scale (TMMS) in the third section. Following the WHO-recommended standardized question "How is your health in general?", perceived health status was assessed in the last part of the survey.
DOI: 10.6084/m9.figshare.23118239.v1
title: supplementary data- deidentified colorectal data.xlsx

description: This is a data set from Baylor University Medical Center's colon and rectal cancer patients with their pathologic and genetic data included.
DOI: 10.6084/m9.figshare.28925954.v2
title: L_SP.out

description: Computational output files of the structure optimization, frequency and single point calculations
DOI: 10.6084/m9.figshare.6665165.v1
title: GFPLAIN250m

description: The GFPLAIN250m includes raster data of Earth's floodplains identified using a geomorphic approach presented in Nardi et al. (2006, 2018). The 250m floodplain dataset is derived by processing the NASA SRTM Digital Elevation model gathered from http://srtm.csi.cgiar.org/, and in particular the 250-m SRTM version 4.1 DTM. Files are stored using both the Esri ASCII raster and the GeoTIFF Format and provided as seamless dataset using the World Geodetic System 1984 (WGS84) datum and geographic coordinate system. Floodplain raster layers are compressed into a single file zipped for each continent including the corresponding ASCII file. The coding used for each continent and additional information are detailed in the metadata included in the GFPLAIN250m data repository.
DOI: 10.17632/4m6t8c63k8
title: Green Word of Mouth - Green Trust - Green Perceived Value -Green Satisfaction - Green Purchase Intention

description: The dataset includes data collected in Peru about consumer behaviour in a green market context. Moreover, the variable analysed are green perceived value, green trust, green word of mouth, green satisfaction and green purchase intention. The constructs were coded. Green perceived value (GPV) and three items. Green trust (GT) and four items. Green satisfaction (GS) and three items. Green word of mouth (GW) and four items. Finally, green purchase intention (GPI) and four items.
DOI: 10.17632/xvzvg6ktpc
title: TNSP: A framework supporting symmetry and fermion tensors for tensor network state methods

description: Recent advancements have established tensor network states (TNS) as formidable tools for exploring the complex realm of strongly-correlated many-particle systems in both one and two dimensions. To tackle the challenges presented by strongly-correlated fermion systems, various fermion tensor network states (f-TNS) methodologies have been developed. However, implementing f-TNS methods poses substantial challenges due to their particularly complex nature, making development efforts significantly difficult. This complexity is further exacerbated by the lack of underlying software packages that facilitate the development of f-TNS. Previously, we developed TNSPackage, a software package designed for TNS methods [1]. Initially, this package was only capable of handling spin and boson models. To confront the challenges presented by f-TNS, TNSPackage has undergone significant enhancements in its latest version, incorporating support for both symmetry and fermion tensors. This updated version provides a uniform interface for the consistent management of tensors across boson, fermion, and various symmetry types, maintaining its user-friendly and versatile nature. This greatly facilitates the development of programs based on f-TNS. The new TNSP framework consists of two principal components: a low-level tensor package named TAT, which supports sophisticated tensor operations, and a high-level interface package called tetragono that is built upon TAT. The tetragono package is designed to significantly simplify the development of complex physical models on square lattices. The TNSPackage framework enables users to implement a wide range of physical models with greater ease, without the need to pay close attention to the underlying implementation details.
DOI: 10.17632/zgswr8kyf5
title: PENGEOM – A general-purpose geometry package for Monte Carlo simulation of radiation transport in complex material structures (New Version Announcement)

description: A new version of the code system pengeom, which provides a complete set of tools to handle different geometries in Monte Carlo simulations of radiation transport, is presented. The distribution package consists of a set of Fortran subroutines and a Java graphical user interface that allows building and debugging the geometry-definition file, and producing images of the geometry in two- and three dimensions. A detailed description of these tools is given in the original paper [Comput. Phys. Commun. 199 (2016) 102–113] and in the code manual included in the distribution package. The present new version differs from the previous one in that 1) it implements a more systematic handling of round-off errors, 2) the set of examples has been updated, and 3) it allows including a single voxelized box as a geometry module. With the last optional feature, a Monte Carlo code can readily be used for describing irradiation processes with complex material structures, such as medical treatments.
DOI: 10.6084/m9.figshare.14607435.v1
title: Final Taxonomy File used in analyses

description: Final taxonomy file used in R for analyses.
DOI: 10.6084/m9.figshare.17054204.v1
title: Plot Data- figure 4

description: These are the values used to create the plots in figure 4- plots were generated with the Errorbar function in Matlab. Data are derived from the image files uploaded separately (i.e., Printed Contrast Phantom Data).
DOI: 10.6084/m9.figshare.20368197.v2
title: R. padi VGSC sequence- Multiples (Ab1 files)

description: Sequence files of the voltage gated sodium channel of Irish <em>R. padi</em> colonies collected from 2020-2021. (Multiple aphids)
DOI: 10.6084/m9.figshare.28466324.v1
title: The Economic Bomb Dataset FULL DOWNLOAD.zip

description: <b>Figshare Dataset Description</b><b>Title:</b> The Economic Bomb Dataset: Bitcoin Volatility, Institutional Shorting, and ETF Outflows (2021–2024)<b>Description:</b><br>This dataset supports the research presented in <i>The Economic Bomb: A Strategic Financial Warfare Tactic</i>, which examines Bitcoin's volatility, institutional shorting, and the impact of ETF outflows on market behavior. Covering the period from January 2021 to December 2024, the dataset includes raw financial data, processed analytical outputs, and visualizations that illustrate volatility patterns, delayed market reactions, and potential price manipulation.<br>The dataset is divided into the following components:<br><b>Raw Data:</b> Daily BTC price movements, ETF holdings and outflows, whale wallet transactions, and institutional shorting positions from Binance, Coinbase, Glassnode, and other sources.<b>Processed Data:</b> Calculated BTC returns, volatility measures, and sentiment scores from social media platforms such as Twitter, Reddit, Google News, and YouTube.<b>Simulations:</b> Monte Carlo simulations, Decker Sentiment-Short Interest Model (DSSIM), GARCH model forecasts, and VAR model analyses that quantify volatility clustering and delayed market responses.<b>Visual Aids:</b> Correlation matrices, heatmaps, and line charts that visualize key patterns, including volatility spikes following ETF outflows and whale wallet movements.This dataset is designed to support research into cryptocurrency volatility, institutional influence, and market manipulation. It is suitable for use in academic studies, financial modeling, and data-driven investment strategies. Detailed captions and preprocessing information are provided to ensure transparency and reproducibility.<b>Keywords:</b> Bitcoin Volatility, Institutional Shorting, ETF Outflows, Whale Wallet Movements, Cryptocurrency Market Manipulation, Monte Carlo Simulation, GARCH Model, VAR Model, Financial Data Visualization<b>License:</b> CC BY 4.0 (Attribution required)<b>DOI:</b> 10.17632/xn9ws8x6j7.2<b>Citation:</b><br>Decker, Nicolin (2025), <i>The Economic Bomb: A Strategic Financial Warfare Tactic</i>, Mendeley Data, V2, DOI: 10.17632/xn9ws8x6j7.2, Available at SSRN: Link to SSRN<b>Contact:</b> Nicolin Decker, Independent Researcher, Email: nicolindecker144@gmail.com
DOI: 10.6084/m9.figshare.5929237.v1
title: Behavioral data of free-swimming larvae

description: Data from Figure 1, S2.
DOI: 10.17632/tcdb79vcw6
title: Data for: Effect of the double grading on the internal electric field and on the carrier collection in CIGSe solar cells

description: Files used as input parameters for the SCAPS-1D simulation used in this simulation, as well as file used as input for the homemade calculation software.