cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6616654
title: Data for: Regularly occurring bouts of retinal movements suggest an REM sleep–like state in jumping spiders

description: Sleep and sleep-like states are present across the animal kingdom, with recent studies convincingly demonstrating sleep-like states in arthropods, nematodes, and even cnidarians. However, the existence of different sleep phases across taxa is as yet unclear. In particular, the study of rapid eye movement (REM) sleep is still largely centered on terrestrial vertebrates, particularly mammals and birds. The most salient indicator of REM sleep is the movement of eyes during this phase. Movable eyes, however, have evolved only in a limited number of lineages—an adaptation notably absent in insects and most terrestrial arthropods—restricting cross-species comparisons. Jumping spiders, however, possess movable retinal tubes to redirect gaze, and in newly emerged spiderlings, these movements can be directly observed through their temporarily translucent exoskeleton. Here, we report evidence for an REM sleep–like state in a terrestrial invertebrate: periodic bouts of retinal movements coupled with limb twitching and stereotyped leg curling behaviors during nocturnal resting in a jumping spider. Observed retinal movement bouts were consistent, including regular durations and intervals, with both increasing over the course of the night. That these characteristic REM sleep–like behaviors exist in a highly visual, long-diverged lineage further challenges our understanding of this sleep state. Comparisons across such long-diverged lineages likely hold important questions and answers about the visual brain as well as the origin, evolution, and function of REM sleep.
description: see README file for further information about this release
DOI: 10.5281/zenodo.6951404
title: Data sheets - Compliance SSI SystemProperty Set to Laws, Regulations, and Technical Standards

description: Data sheets generated as a result of the development of the proposed property set. These data are an addendum to a journal article submitted.
DOI: 10.5281/zenodo.6951403
title: Data sheets - Compliance SSI SystemProperty Set to Laws, Regulations, and Technical Standards

description: Data sheets generated as a result of the development of the proposed property set. These data are an addendum to a journal article submitted.
DOI: 10.6084/m9.figshare.19706710.v1
title: Data Set S4. USGS aggregates sand mining data.xlsx

description: This dataset records the sand mining from the Lower Arkansas River.
DOI: 10.6084/m9.figshare.20417811.v1
title: Data Set S3. Wing-dike and bar areas in the Lower Arkansas River.xlsx

description: This dataset records the bar areas and wing-dike field areas in 1961, 1994, and 2017, which were measured from Timelapse provided by Google Earth Engine.
DOI: 10.6084/m9.figshare.19706707
title: Data Set S5. Suspended sediment and sand deficit.xlsx

description: This dataset records the sediment deficit in the Lower Arkansas River, including the processes of sediment extraction and natural riverine sediment transport.
DOI: 10.6084/m9.figshare.19706710
title: Data Set S4. USGS aggregates sand mining data.xlsx

description: This dataset records the sand mining from the Lower Arkansas River.
DOI: 10.6084/m9.figshare.19706716
title: Data Set S2. MKARNS dredging summary.xlsx

description: This dataset records the dredging activities in the Lower Arkansas River between 1969 and 2019.
DOI: 10.6084/m9.figshare.19706716.v1
title: Data Set S2. MKARNS dredging summary.xlsx

description: This dataset records the dredging activities in the Lower Arkansas River between 1969 and 2019.
DOI: 10.6084/m9.figshare.20417811
title: Data Set S3. Wing-dike and bar areas in the Lower Arkansas River.xlsx

description: This dataset records the bar areas and wing-dike field areas in 1961, 1994, and 2017, which were measured from Timelapse provided by Google Earth Engine.
DOI: 10.6084/m9.figshare.19706707.v1
title: Data Set S5. Suspended sediment and sand deficit.xlsx

description: This dataset records the sediment deficit in the Lower Arkansas River, including the processes of sediment extraction and natural riverine sediment transport.
DOI: 10.6084/m9.figshare.20406135.v1
title: A global dataset of microbial community in field-collected ticks from metagenome

description: Ticks are important vectors of various zoonotic pathogens that can infect animals and humans, and most documented tick-borne pathogens have a strong bias towards microorganisms with strong disease phenotypes. The recent development of next-generation sequencing (NGS) has enabled the study of microbial communities, referred to as microbiome. Herein, we undertake a systema[TM1] tic review of published literature to build a comprehensive global dataset of reports on the diversity and distribution of microbiome by NGS in field-collected ticks. The dataset comprised 4418 records (76 literature) of geo-referenced occurrences for 47 species of ticks and 219 microorganism families, revealing a total of 83 [TM2] emerging viruses identified from 6 tick genera and 24 tick species since 1980. The viral, bacterial and eukaryotic composition was compared regarding the tick species, their live stage and types of the specimens, or the geographic location. The data can assist the further investigation of ecological, biogeographical and epidemiological features of the tick-borne disease.
DOI: 10.6084/m9.figshare.20417844
title: LULC.rar

description: With this file, I have uploaded the land use maps prepared for the study area.
DOI: 10.1285/i20705948v15n2p277
title: Happiness among UAE undergraduates One year since COVID 19

description: This paper comes to explore the level of happiness among a sample of university students in UAE by running the Oxford Happiness survey. In relation to happiness, the study continues to address the relationship between happiness and three variables: the academic achievement / performance represented by Grade Point Average GPA, the Gender and the Academic Progress (the year at which the student is in).The main results suggest that there is an association between happiness and academic achievement of students, however, females tend to be happier than males. In addition, it was found that as students' progress in their studies in the university their happiness level decreases.When numbers were compared with the previous study, it was found that the current study showed lower happiness levels, this is interpreted as a result of the COVID19 consequences especially that the study was done after a year since the start of the pandemic.
DOI: 10.1285/i20705948v15n2p290
title: Double acceptance sampling plan based on truncated life tests for two-parameter Xgamma distribution

description: In this paper, a double acceptance sampling plan (DASP) in terms oftruncated life tests is oered assuming that the lifetime of a product followsthe two-parameter Xgamma (TPXG) distribution. The mean of the TPXGdistribution is considered as the quality parameter. For a certain values ofthe consumer's condence level, the minimum sample sizes of the rst andsecond samples required to assert the identied mean life are achieved. Thecorresponding operating characteristic (OC) values for to the various qualitylevels are attained as well as the minimum ratios of the mean life to theindicated life are obtained. Numerical results and examples are presentedfor illustration.
DOI: 10.1285/i20705948v15n2p300
title: Benrabia Distribution: Properties and Applications

description: In this paper, we propose a new two parameter continuousdistribution. It is called a Benrabia distribution. Some statisticalproperties are derived such as: the moment generating function, the moments and related measures, the reliability analysis and related functions. Also, the distribution of order statistics and the quantile function are presented and the Rényi entropy is derived.The method of maximum likelihood estimation is used to estimate thedistribution parameters. A simulation is performed to investigate the performance of MLE, real data applications show that the proposed distribution can provide a better fit than several well-known distributions.
DOI: 10.1285/i20705948v15n2p318
title: Estimating and Updating a Linear Discriminant Function from the Mixture of Two One-Parameter Lindley Distributions

description: In this paper, we introduce the mixture model of two one-parameterLindley distributions through the mathematical formula of theprobability density and cumulative distribution functions of theunderlying mixture model. Then, we find out the maximum-likelihoodestimates of the parameters of the mixture of two one-parameterLindley distributions by using two types of data namely; classifiedand unclassified samples. Next, we estimate the linear discriminantfunction of the underlying mixture model and calculate the totalprobabilities of misclassification as well as the percentage biasthrough a series of simulation experiments and some real data sets.Consequently, we study the problem of updating the discriminantfunction on the basis of data of unknown origin. We consider theupdating procedure for the linear discriminant function on the basisof two one-parameter Lindley distributions in situations when theadditional observations are mixed or classified. Finally, we studythe performance of the updating procedures through some simulationexperiments by means of the relative efficiencies.
DOI: 10.1285/i20705948v15n2p335
title: Robust regression type estimators to determine the population mean under simple and two-stage random sampling techniques

description: For the estimation of population mean, there are several ratio and regression type estimators available in literature. However, they can be misleading to contain the desired results when data are contaminated by outliers. In recent past, Zaman and Bulut (2019a) provided the solution of this issue by utilizing some robust regression tools and develop a class of ratio type estimators under simple random sampling scheme. To extending their work, Zaman (2019) has suggested another class of estimators but this time using ratio technique. In this paper, we proposed a new class of robust regression type estimators with utilizing LAD, LMS, LTS, Huber-M, Hampel-M, Tukey-M, Huber-MM as robust regression tools. The desired class is subsequently extended for two stage sampling, where mean of the study variable is not available at first stage. Also, we have developed some reviewed and proposed estimators under above mentioned sampling technique. Further, we have divided our supposition into two cases as: (i)- when drawn a second stage sample depends upon first stage sample and, (ii)- when drawn a second stage sample is independent of first stage sample. The mean square expressions of the proposed estimators have been determined through Taylor series expansion. A real life application and the simulation study are also provided to assess existing and proposed estimators. In the light of numerical illustration, we see that our proposed estimators give more efficient results than the reviewed ones.
DOI: 10.1285/i20705948v15n2p352
title: Acceptance Sampling Plans Using Hypergeometric Theory for Finite Population Under Q-Weibull Distribution

description: In this paper, truncated lifetime testing is considered, and new single acceptance sampling plans (SASP) are proposed assuming that the lifetime distribution is the q-Weibull distribution of a product. Assuming a finite population size (limited population size, N); the inspection process for a single sampling plan is begins by choosing a simple random sample from a given lot, then based on pre-assigned quality standards, the manager will decide to reject the lot if some items fail to meet the pre-assigned quality standards. Since the population is limited; then this experiment meets the hypergeometric distribution assumptions. The hypergeometric theory is applied to compute the probability of acceptance, and the procedure is used to compute the minimum sample size and the operating characteristics of the sampling plans. Also, a real data analysis is given to illustrate the applicability of the proposed plan in the industry.
DOI: 10.1285/i20705948v15n2p367
title: Statistical analysis of Gompertz distribution based on progressively type-II censored competing risk model with binomial removals

description: Here in this paper, we consider the progressive Type-II censoring Gompertz data under competing risks model with binomial removals. The maximum likelihood estimators of the model parameters involved are obtained by applying numerical methods and the asymptotic variance-covariance matrix of the estimators is also derived. Bayesian estimates based on importance sampling procedure are developed under squared error, LINEX and general entropy loss functions. The confidence intervals using the asymptotic normality and Bayesian approaches are also developed. Finally, a Monte Carlo simulation is conducted to evaluate the performance of the so proposed estimators under all these different estimation methods.
DOI: 10.1285/i20705948v15n2p399
title: An adaptive sampling and weighted ensemble of surrogate models for high dimensional global optimization problems

description: The modern engineering design optimization relies heavily on high- fidelity computer. Even though, the computing ability of computers have increased drastically, design optimization based on high-fidelity simulations is still time consuming and impractical. Surrogate modeling is a technique to replace the high-fidelity simulations. This paper presents a novel approach, named weighted ensemble of surrogates (WESO) for computationally intensive optimization problems, The focus is on multi-modal functions to identify its global optima with relatively few function evaluations. WESO search mechanism falls in two steps, explore and fit. The "explore" step is based on exploring the whole design region by generating sample points (agents) using Latin hypercube sampling (LHS) technique to gain prior knowledge about the function of interest (learning phase). The "fit" step is to train and fit a weighted ensemble of surrogate models over the promising region (training phase) to mimic the computationally intensive true function and replace it with a surrogate model (cheap function). The surrogates are then utilized to select candidates' decision variable points at which the true objective function and constraints' functions to be evaluated. Weights are then determined, assigned and an ensemble of surrogate gets constructed using the candidate sample points where optimization can be carried out. WESO has been evaluated on classical benchmark functions embedded in larger dimensional spaces. WESO was also tested on the aerodynamic shape optimization of turbo-machinery airfoils to demonstrate its ability in handling computationally intensive optimization problems. The results showed to what extent combinations of models can perform better than single surrogate models and provide insights into the scalability and robustness of the approach. WESO can successfully identify near global solutions, faster than other classical global optimization algorithms.
DOI: 10.1285/i20705948v15n2p421
title: Weighted Gharaibeh Distribution with Real Data Applications

description: In this paper, a new continuous one parameter distribution called weighted Gharaibeh distribution(WGD) is introduced. Its moment generating function, moments and related measures, order statistics,hazard rate function, mean residual life function, Renyi entropy, mean deviations about mean and median,Stochastic ordering, Bonferroni and Lorenz curves are investigated and addressed. The parameter of theWGD is estimated using the maximum likelihood method. Applications to two real data sets are presentedand showed that the WGD has the adequacy of tting such data better than Gharaibeh distribution andsome other existing one parameter distributions.
DOI: 10.1285/i20705948v15n2p438
title: A New Unit Distribution: Properties, Inference, and Applications

description: We propose a new bounded distribution called the Marshall-Olkin reducedKies distribution, which is a competitive model to the generalized beta, Kumaraswamy and beta distributions. It is able to model both negative andpositive skewed data. Eight classical estimation methods are used to estimateits parameters. A simulation study is conducted to compare the performanceof the dierent estimators. The performance ordering of these estimators isexplored using partial and overall ranks to determine the best estimationmethod. Two COVID-19 data sets on to recovering and death rates in Spainare analyzed to show the exibility of the new distribution to model suchdata. The expected values of the rst and last order statistics are used toestimate the minimum and maximum recovery and death rates.
DOI: 10.1285/i20705948v15n2p463
title: New double stage ranked set sampling for estimating the population mean

description: In environmental and many other areas, the main focus of survey is to measureelements using an efficient and cost-effective sampling technique. One way to reach that isby using Ranked set sampling (RSS). RSS is an alternative sampling technique that canimprove the efficiency of estimators when measuring the variable of interest is eithercostly or time-consuming but ranking its elements in a small set is easy. The purpose of thisarticle is to introduce a new modification of RSS to estimate the mean of the targetpopulation. This proposed technique is a double-stage approach that combines median RSS(MRSS) and MiniMax RSS (MMRSS). The performance of the empirical mean and varianceestimators based on the proposed technique are compared with their counterparts inMMRSS, RSS and simple random sampling (SRS) via Monte Carlo simulation. Simulationresults revealed that this new modification is always more efficient than their counterpartsusing MMRSS and SRS, while it is more efficient than RSS is many cases especially when thedistribution is asymmetric.
DOI: 10.5281/zenodo.6951440
title: Accuracy of EEG Biomarkers in the Detection of Clinical Outcome in Disorders of Consciousness after Severe Acquired Brain Injury: Preliminary Results of a Pilot Study Using a Machine Learning Approach

description: Dataset for the accepted publication: "Accuracy of EEG Biomarkers in the Detection of Clinical Outcome in Disorders of Consciousness after Severe Acquired Brain Injury: Preliminary Results of a Pilot Study Using a Machine Learning Approach"
DOI: 10.5281/zenodo.6951439
title: Accuracy of EEG Biomarkers in the Detection of Clinical Outcome in Disorders of Consciousness after Severe Acquired Brain Injury: Preliminary Results of a Pilot Study Using a Machine Learning Approach

description: Dataset for the accepted publication: "Accuracy of EEG Biomarkers in the Detection of Clinical Outcome in Disorders of Consciousness after Severe Acquired Brain Injury: Preliminary Results of a Pilot Study Using a Machine Learning Approach"
DOI: 10.23729/33655829-eefc-404d-82db-eafeab1731c7
title: KovePro NonCement Binders preview

description: Non-Cement Binder samples for KovePro project. Samples are ash (Tuhka), slag (Kuona), tailings (RHK) and combinations of the three. Samples were imaged to examine their internal structure on their own and in mixtures. Preview set for KovePro: https://doi.org/10.23729/c54d00f3-62c9-4830-ba8b-1cebffc68199 Preview of PAS-dataset https://doi.org/10.23729/b16f101f-e507-4a8b-aa57-be4a8cf27cab
DOI: 10.23729/c54d00f3-62c9-4830-ba8b-1cebffc68199
title: KovePro preview

description: KovePro was a project investigating use of cemented paste backfill for mines. This is a collective entry for all KovePro XCT data by GTK in Fairdata-PAS service. Mass Cube preview: https://doi.org/10.23729/38aaf891-a7c2-46ef-9d43-2ae9b546171f Mass Cube PAS: https://doi.org/10.23729/38d16d1d-6aea-4341-8d9c-b90af3e091b8 Binders preview: https://doi.org/10.23729/f116e2e0-44b9-4b61-82f0-7f2ca817025e Binders PAS: https://doi.org/10.23729/18f7d78c-0873-40d9-8ce9-356b47b0ec66 CPB preview: https://doi.org/10.23729/0ac4f2ac-0594-47a1-a1c8-3e08e1e8b558 CPB PAS: https://doi.org/10.23729/3a92b4b2-bbc8-45a4-bd23-66bbdd1844d1 Column test preview: https://doi.org/10.23729/3266888e-481b-4a52-ad26-652e9acc36a0 Column test PAS: https://doi.org/10.23729/b599493b-2a09-4d44-b7ca-756f6bc42031 NonCement Binders preview: https://doi.org/10.23729/33655829-eefc-404d-82db-eafeab1731c7 NonCement Binders PAS: https://doi.org/10.23729/b16f101f-e507-4a8b-aa57-be4a8cf27cab
DOI: 10.6084/m9.figshare.20417838
title: Altered chromatin compaction and histone methylation drive non-additive gene expression in an interspecific Arabidopsis hybrid

description: Background The merging of two diverged genomes can result in hybrid offspring that phenotypically differ greatly from both parents. In plants, interspecific hybridization plays important roles in evolution and speciation. In addition, many agricultural and horticultural species are derived from interspecific hybridization. However, the detailed mechanisms responsible for non-additive phenotypic novelty in hybrids remain elusive. Results In an interspecific hybrid between <em>Arabidopsis thaliana</em> and <em>A. lyrata</em>, the vast majority of genes that become upregulated or downregulated relative to the parents originate from <em>A. thaliana</em>. Among all differentially expressed <em>A. thaliana</em> genes, the majority is downregulated in the hybrid. To understand why parental origin affects gene expression in this system, we compare chromatin packing patterns and epigenomic landscapes in the hybrid and parents. We find that the chromatin of <em>A. thaliana</em>, but not that of <em>A. lyrata</em>, becomes more compact in the hybrid. Parental patterns of DNA methylation and H3K27me3 deposition are mostly unaltered in the hybrid, with the exception of higher CHH DNA methylation in transposon-rich regions. However, <em>A. thaliana</em> genes enriched for the H3K27me3 mark are particularly likely to differ in expression between the hybrid and parent. Conclusions It has long been suspected that genome-scale properties cause the differential responses of genes from one or the other parent to hybridization. Our work links global chromatin compactness and H3K27me3 histone modification to global differences in gene expression in an interspecific <em>Arabidopsis</em> hybrid. <br> <br> Here normalized Hi-C matrices associated with this study can be downloaded.