cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14920488.v1
title: Quantum Proof of Riemann Hypothesis

description: Enlightened by the G-dynamics being identified as a part of quantum covariant Hamiltonian system (\textbf{QCHS}) for constructing the geometric wave equation based on the quantum covariant Poisson bracket (\textbf{QCPB}) theory, we find a new quantum physical system associated with classical Hamiltonian operator ${\hat{H}}^{\left( cl \right)} $ in Schr\"{o}dinger equation $\sqrt{-1}\hbar \frac{\partial}{\partial t} \varphi ={\hat{H}}^{\left( cl \right)} \varphi$ behind the Riemann non-trivial zeroes, such an unbounded linear self-adjoint operator ${{\hat{w}}^{\left( cl \right)}}={{b}_{c}}\hat{Q} $ to solve the Hilbert-P\'{o}lya conjecture (\textbf{HPC}) really exists that is given by one of geometric wave equation, that's exactly what Hilbert-P\'{o}lya and Berry-Keating still expect to find such peculiar quantum system in proving the Riemann hypothesis over the long time, and with identity ${{\hat{w}}^{\left( cl \right)}}{{u}^{-1/2}}=\hat{Q}{{u}^{-1/2}}=0$ holds, then Riemann hypothesis (\textbf{RH}) is then proven. Meanwhile, we discuss the curvature operator $\hat{Q}$ in different dimensional case, especially, Laplacian-Bertrami operator is considered for curvature operator. The relation between the Schr\"{o}dinger equation and geometric wave equation associated with geometric Hamiltonian operator is given.For the Berry-Keating conjecture (\textbf{BKC}), we need to find this unknown physical system, so that we comprehensively consider the Riemann manifold, Einstein metric and Ricci flow to ensure what the imaginary part really stands for, then it connects the vacuum field equation in two dimensional case, the scalar curvature forms a discrete set in 2D Riemann manifolds.
DOI: 10.6084/m9.figshare.21856305.v1
title: Extended stability study of an extemporaneously analgesic solution of clonidine, ropivacaine and fentanyl

description: Abstract The aim of this work was to perform an extended stability study for the analgesic containing fentanyl, clonidine and ropivacaine in physiological saline solution 0.9% at different infusion sites, such as infusion bags, epidural infusion sets and syringes. The extended stability was assessed by an HPLC system equipped with a photodiode array detector set at 210 nm. The separation was conducted on a C18 column maintained at 40˚C and using an isocratic mobile phase consisted of buffer solution-methanol-acetonitrile (45:45:10, v/v/v). The presence of particulate matter and the pH of each solution were also investigated. Twenty-four hours after the preparation, the formation of one suspected product was observed and for all drugs, in 24 hours it was observed the concentration decrease in different sets (PVC infusion bags, syringes and epidural infusion administration sets). The pH values of each solution varied no more than 5% during the study and no particle was observed. Conclusion: The extended stability study was applied to the analgesic solution and promoted the detection of an unexpected peak in 24 hours. Based on it, further stability studies are necessary to determine the extended stability data.
DOI: 10.6084/m9.figshare.28904906.v1
title: <b>Species removal dampens the scale dependency of ecological determinism and stochasticity in coastal communities.</b>

description: Deterministic and stochastic processes control community dynamics. However, the responses of both processes to the loss of foundation species, which strongly influence community dynamics across spatial scales, are unclear. We experimentally examined how spatial extent and foundation species removal affect rocky-intertidal community dynamics over three years in eight field sites spanning ~1000 km along the southeastern Pacific. The normalised stochasticity ratio (NST), which distinguishes between stochastic (&gt;50%) and deterministic (&lt;50%) community dynamics, decreased with spatial extent for sessile and mobile species, with consistently lower values under foundation species removal for sessile communities. The effect of foundation species removal on NST was strongest in smaller sessile communities and diminished as spatial extent increased, while mobile communities showed no significant response to the disturbance. Our experimental results demonstrate that the loss of foundation species disrupts the scale dependency of ecological mechanisms, highlighting its negative implications for biodiversity conservation and ecosystem functioning.
DOI: 10.6084/m9.figshare.28956020.v1
title: Surevey Results - Utilization AI in Cybersecurity Education - Interdisciplinary Project - Østfold University College

description: This repository contains the results of our survey. It contains both the results for the English and Norwegian version of the survey, the questions in both version are identical.<br>Course: Interdisciplinary ProjectSchool: Østfold University College - Norway
DOI: 10.17632/hsspmdtkv5
title: The role of self-esteem and personality in creativity among Indonesian college students

description: This study aimed at investigating how self-esteem a self-esteem shape personality and both variable predict creativity in the context of Indonesian university students. Data were collected from 265 undergraduate students in East Java province aged from 18 – 25 (M = 20.85; SD = 1.24). Data were collected via an online questionnaire through snowball sampling technique. The scales of the Big Five Inventory, Rosenberg Self-Esteem Scale, and K-DOCS. J. C. Kaufman were originally from English translated into Bahasa Indonesia using reversed translation method. Results indicated that self-esteem could shape personality and both self-esteem and personality were correlated with students’ creativity. Openness was the strongest predictor of creativity, whereas neuroticism negatively correlated with all types of creativity. The result also demonstrated that personality served as a mediating variable in the relationship between self-esteem and creativity. The findings suggested that level of self-esteem could configurate a certain personality. High level of self-esteem can internally motivate activities facilitating the generation of new and innovative ideas and products.
DOI: 10.17632/hxkkbdmpbb
title: Data for: Panic attack provocation in panic disorder patients with a computer simulation

description: Panic attack provocation in panic disorder patients with a computer simulation
DOI: 10.17632/jj2djtjpnw
title: Dataset of logistics in cement projects in Indonesia

description: Data logistics based on empirical of eight cement projects in the period 2010-2020 in Indonesia. All logistics activities regarding foreign and domestic were recorded for future usage in similar investments.
DOI: 10.6084/m9.figshare.11778936.v1
title: A Single Nucleotide Polymorphism assay sheds light on the extent and distribution of genetic diversity, population structure and functional basis of key traits in cultivated North American Cannabis

description: A set of 22 highly informative and polymorphic SNP markers typed in 420 accessions with metadata associated with important traits such as cannabinoid and terpenoid expression as well as fibre and resin production. The assay offers insight into cannabis population structure, phylogenetic relationship, population genetics and correlation to secondary metabolite concentrations and demonstrate the utility of this assay for rapid, repeatable and cost-efficient genotyping of commercial and industrial cannabis accessions for use in product traceability, breeding programs and consumer education.
DOI: 10.6084/m9.figshare.13264682.v6
title: Bathymetry Files, Tsunami Waveforms and Source Models of Trans-Pacific Events

description: Data files for the paper ''<i>Tsunami Resonance Characterization in Japan due to Trans-Pacific Sources: Response on the Bay and Continental Shelf</i>'' on Journal of Geophysical Research: Oceans.<br>There are three directories (zip files):01_Bathymetry: Bathymetry files for tsunami simulation02_Waveform: Synthetic and observed tsunami waveforms at coastal tide gauges and offshore GPS gauges.03_Source_Model: Source model of calculating each tsunami event<br>In each directory, there is a README file.
DOI: 10.6084/m9.figshare.1590990.v1
title: Abundance of Dandelions Under Selected Ranges From a Major Road & Under Multiple Amounts of Litter

description: The abundance of dandelions was measured at three distances away from a major road (Keele Street), on October 19 and October 26, 2015, at York University, from 2:30 to 5:30 P.M. Weather conditions were partly cloudy, with a temperature of approximately 13 degrees Celsius. Quadrats were placed randomly at three distances: 3 - 15, 60 - 110, and 110 - 200 feet away from the main road. The dandelions (see metadata for species) found in each placed quadrat were counted, and results were tabulated and separated by their distance from the major road. The amount of litter and unintentional synthetic matter found in each quadrat was counted and recorded as well. woth each distinguiseable piece of litter counted as one (1) piece.
DOI: 10.6084/m9.figshare.25157147.v1
title: Post-polyploidization centromere evolution in cotton

description: The codes used in this study are available on figshare: https://doi.org/10.6084/m9.figshare.25157147.
DOI: 10.6084/m9.figshare.28595852.v1
title: <b>Data associated with Auguin et al. "The role of Social Transmission..."</b>

description: Data associated with Auguin et al. "<b>The role of social transmission in the use of a new behaviour by killer whales in response to fisheries</b>"
DOI: 10.6084/m9.figshare.28620122.v1
title: CNS_Galaxy.zip

description: Glioma
DOI: 10.15468/dl.pn2nbb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argentina silus (Ascanius, 1775)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((45.0928 -15.4583,44.9648 -15.5455,44.9648 -16.1504,50.6026 -16.1504,50.9509 -15.5762,50.9726 -15.1612,50.7278 -14.6803,50.4023 -12.881,49.5781 -11.5543,49.0498 -11.4838,48.3367 -12.0308,48.0746 -12.7462,47.3475 -13.4008,47.2485 -14.053,46.7839 -14.7317,46.0549 -15.2149,45.0928 -15.4583))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013345-250525065834625/datasets/export for details.
DOI: 10.17632/39bdkwbgmj
title: Dataset: Cognitive Workload Analysis in Enterprise Resource Planning

description: This dataset is dedicated to the analysis of Enterprise Resource Planning (ERP) systems, providing comprehensive insights into various aspects crucial for understanding their functionality and effectiveness in organizational contexts.
 
Key parameters included in the dataset:
Psychological Efforts: Indicates the level of psychological effort required to complete tasks within the ERP system, ranging from low to high complexity.
Physical Efforts: Reflects the level of physical exertion necessary to perform tasks within the ERP system, ranging from minimal to highly demanding.
Time Pressure: Represents the degree of time pressure experienced by users while working within the ERP system, ranging from low to high urgency.
Task Completion: Measures the level of success in completing tasks within the ERP system as per organizational expectations, ranging from satisfactory to poor outcomes.
Workload: Assesses the amount of effort required to complete tasks within the ERP system, ranging from low to high workload.
User Stress Level: Indicates the level of stress or relaxation experienced by users while working within the ERP system, ranging from minimal stress to high levels of frustration.
DOI: 10.17632/4n6wzb9wfh
title: Calidad Software

description: calidad del software: es sinónimo de eficiencia, flexibilidad, corrección, confiabilidad, mantenibilidad, portabilidad,
usabilidad, seguridad e integridad. o representa el conjunto de cualidades que lo caracterizan y que determinan su utilidad y existencia
DOI: 10.17632/vnj7sxkt53
title: A Multi-feature Dataset for Windows PE Malware Classification

description: This repository contains a multi-feature dataset of Windows PE malware samples. We collected PE malware samples from MalwareBazaar and used pefile library of Python to extract four feature sets. These features can be used for static malware analysis. Moreover, we use VirusTotal API to label these malwares. We categorized them into five families based on majority voting.

First feature set (DLLs_Imported.csv file) contains the DLLs imported by each malware family. The first column contains SHA256 values, second column contains the label or family name of the malware while the remaining columns list the names of imported DLLs.
Second feature set (API Functions.csv files) contains the API functions called by these malware along with their SHA256 hash values and labels. 
Third feature set (Header.csv) contains values of 52 fields of PE header. All the fields are labelled in the CSV file.
Fourth feature set (Section.csv file) contains 10 field values of 10 different PE sections. All the fields are labelled in the CSV file.
DOI: 10.17632/x3gwrc7hrm
title: EV-olution in Java Indonesia: Perceived Cost Value, AI, and Social Status in Shaping Consumer Willingness to Pay for EVs

description: EV-olution in Java Indonesia: Perceived Cost Value, AI, and Social Status in Shaping Consumer Willingness to Pay for EVs  

The research objects focus on the following constructs:
1.AI-based user experience
2.Perceived value of money
3.Social status
4.Consumer willingness to pay (WTP) 

This dataset supports a quantitative study on the factors influencing consumer willingness to pay (WTP) for electric vehicles (EVs) in Java, Indonesia, focusing on the roles of AI-based user experience, perceived value of money, and social status. Data were collected through a structured questionnaire distributed via Google Forms to 400 respondents across West Java, Central Java, East Java, and DKI Jakarta, including both EV owners and non-owners. This sample size ensures adequate statistical validity for drawing meaningful conclusions. The questionnaires were carefully designed to capture relevant insights on the three independent variables and their impact on WTP for EVs, making the data collection and analysis process efficient and targeted. Responses were measured using Likert scales and supported by demographic information such as age, gender, income level, and EV ownership status. A descriptive analysis was used to summarize the main characteristics of the sample, while Partial Least Squares Structural Equation Modeling (PLS-SEM) using SMART-PLS was employed to explore relationships between the variables more specifically. This analytical approach allowed the study to uncover how AI-based user experience, perceived economic value, and the aspirational aspects of EV ownership influence consumer willingness to pay. Combining descriptive statistics with PLS-SEM helped structure the model and provided deeper insights into the complex interactions within the data, offering valuable implications for researchers, policymakers, and EV manufacturers in advancing sustainable transportation efforts in Indonesia.
DOI: 10.6084/m9.figshare.20369268.v1
title: Depression and anxiety dataset

description: Depression and anxiety among medical students in Nepal
DOI: 10.6084/m9.figshare.22491205.v1
title: Annotated reference genome of Helianthus tuberosus

description: The haplotype-resolved chromosome-level genome assembly of hexaploid Helianthus tuberosus, and the annotations of protein-coding genes, transposon elements (TEs), tandem repeats (TRs), rRNA and tRNA genes in the genome in GFF3 format.
DOI: 10.6084/m9.figshare.26953714.v1
title: The effects of in-phase bilateral exercise in people with progressive Multiple Sclerosis

description: Multiple sclerosis (MS) is a chronic inflammatory demyelinating disease of the central nervous system. MS, typical presents with progression of clinical symptoms which mainly include motor and cognitive impairment, as well as reduction of patients` quality of life. Exercise is an effective approach in the management of the symptoms in people with progressive MS. Previous studies in healthy and in people with MS, reported a close relationship between cognitive functions and upper limb performance. Since patients with progressive MS facing difficulties with performing complex exercises due to cognitive dysfunctions and given the close relationship between cognitive functions and manual dexterity, a reasonable question arises whether a type of upper limbs exercises with less cognitive demands will improve the information processing speed in people with progressive MS. The aim of the current study is to investigate the effects of in-phase bilateral upper limbs exercises on the information processing speed, in patients with progressive MS, given that in-phase bilateral movements needs less attentional load than the other types of bilateral coordination. The intervention protocol lasted for 12 consecutive weeks (30-60 minutes /session x 3 sessions/week) and included in-phase bilateral exercises of the upper limbs, adapted to different sports activities and to functional training. Results from the statistical analysis indicated improvement of the experimental group compared to the control group, on the information processing speed alongside with improvement of motor skills.
DOI: 10.6084/m9.figshare.7980068.v1
title: condensed_traits_NCBI.csv

description: The condensed_traits.csv dataset is the first data product from the data merger workflow. It include species and strains, and the raw are in their clean, but raw, form.
DOI: 10.17632/3mwgvd2dbx
title: VPS13D mutations affect mitochondrial homeostasis and locomotion in Caenorhabditis elegans.

description: Original images and data for vps-13D study
DOI: 10.17632/rg254yr63x
title: Fruits Dataset for Classification

description: About Dataset
(strawberries, peaches, pomegranates) Photo requirements:
1-White background
2-.jpg
3- Image size 300*300
The number of photos required is 250 photos of each fruit when it is fresh and 250 photos of each Fruit Dataset for Classification when it is rotten.
Total 1500 images

Diverse Collection
With a diverse collection of Product images, the files provides an excellent foundation for developing and testing machine learning models designed for image recognition and allocation. Each image is captured under different lighting conditions and backgrounds, offering a realistic challenge for algorithms to overcome.

Real-World Applications
The variability in the dataset ensures that models trained on it can generalize well to real-world scenarios, making them robust and reliable. The dataset includes common fruits such as apples, bananas, oranges, and strawberries, among others, allowing for comprehensive training and evaluation.

Industry Use Cases
One of the significant advantages of using the Fruits Dataset for Classification is its applicability in various fields such as agriculture, retail, and the food industry. In agriculture, it can help automate the process of fruit sorting and grading, enhancing efficiency and reducing labor costs. In retail, it can be used to develop automated checkout systems that accurately identify fruits, streamlining the purchasing process.

Educational Value
The dataset is also valuable for educational purposes, providing students and educators with a practical tool to learn and teach machine learning concepts. By working with this dataset, learners can gain hands-on experience in data preprocessing, model training, and evaluation.

Conclusion
The Fruits Dataset for Classification is a versatile and indispensable resource for advancing the field of image classification. Its diverse and high-quality images, coupled with practical applications, make it a go-to dataset for researchers, developers, and educators aiming to improve and innovate in machine learning and computer vision.

This dataset is sourced from Kaggle.
DOI: 10.17632/w2vksw3xdd
title: Supplementary materials for A Phase III Study to Compare Efficacy and Safety of BAT2206 (Proposed Ustekinumab Biosimilar) with Reference Ustekinumab in Patients with Moderate to Severe Plaque Psoriasis

description: Supplementary tables
DOI: 10.6084/m9.figshare.1170135.v1
title: Early medieval plant remains from Galway

description: Dataset with counts of cereal grains from excavations of early medieval deposits in county Galway.
DOI: 10.6084/m9.figshare.21078136.v5
title: Real-time measurement of debris-flow impact force at Jiangjia Ravine, China

description: This is Metadata for real-time impact-force measurements and field observations of debris flows recorded by a sensor network in Jiangjia Ravine, China. We observed 49 debris flows during and after a storm on August 25, 2004, including 42 debris-flow surges and seven continuous debris flows.
DOI: 10.17632/z48znmzfn8
title: The dataset of "Stable mercury isotopes revealing photochemical processes in the marine boundary layer"

description: All TSP samples were collected during 2016-2017. The Hg content and five Hg isotope ratios in each sample were respectively determined using a CVAFS detector and an MC-ICP-MS in 2018. The OC/EC content in each sample was determined using a multiwavelength carbon analyzer in 2019. The eight heavy metal contents in each sample were determined using an ICP-MS in 2019.
DOI: 10.6084/m9.figshare.1588563.v1
title: Post-Stroke Longitudinal Alterations of Inter-Hemispheric Correlation and Hemispheric Dominance in Mouse Pre-Motor Cortex

description: Limited restoration of function is known to occur spontaneously after an ischemic injury to the primary motor cortex. Evidence suggests that Pre-Motor Areas (PMAs) may “take over” control of the disrupted functions. However, little is known about functional reorganizations in PMAs. Forelimb movements in mice can be driven by two cortical regions, Caudal and Rostral Forelimb Areas (CFA and RFA), generally accepted as primary motor and pre-motor cortex, respectively. Here, we examined longitudinal changes in functional coupling between the two RFAs following unilateral photothrombotic stroke in CFA (mm from Bregma: +0.5 anterior, +1.25 lateral). Local field potentials (LFPs) were recorded from the RFAs of both hemispheres in freely moving injured and naïve mice. Neural signals were acquired at 9, 16 and 23 days after surgery (sub-acute period in stroke animals) through one bipolar electrode per hemisphere placed in the center of RFA, with a ground screw over the occipital bone. LFPs were pre-processed through an efficient method of artifact removal and analysed through: spectral, cross-correlation, mutual information and Granger causality analysis.Spectral analysis demonstrated an early decrease (day 9) in the alpha band power in both the RFAs. In the late sub-acute period (days 16 and 23), inter-hemispheric functional coupling was reduced in ischemic animals, as shown by a decrease in the cross-correlation and mutual information measures. Within the gamma and delta bands, correlation measures were already reduced at day 9. Granger analysis, used as a measure of the symmetry of the inter-hemispheric causal connectivity, showed a less balanced activity in the two RFAs after stroke, with more frequent oscillations of hemispheric dominance.These results indicate robust electrophysiological changes in PMAs after stroke. Specifically, we found alterations in transcallosal connectivity, with reduced inter-hemispheric functional coupling and a fluctuating dominance pattern. These reorganizations may underlie vicariation of lost functions following stroke.
DOI: 10.6084/m9.figshare.18132035.v1
title: Tobii Data Reading & Questions.docx

description: Global eye-tracking measures from Tobii Studio.