cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/m2p37vvv84
title: Microsatellite and SNP sequencing data of different populations of Litopenaeus vannamei

description: Knowledge of the genetic information within the population is crucial for the stabilization of genetic diversity and for the strategic planning of subsequent selection processes. This study assesses the genetic diversity of six populations (two breeding populations and four introduced populations, totaling 180 individuals) of Litopenaeus vannamei based on genotyping data from 12 microsatellite markers and whole-genome resequencing. After resequencing and filtering, 14136203 loci were used for genetic diversity analysis. Genetic diversity parameters were calculated for six populations of L. vannamei based on these genetic data. In SSR analysis, population SIS diversity was the highest and XH-F diversity was the lowest among the six populations. In SNP analysis, the results indicate that the XH-F was under selection and has the lowest genetic diversity among these six populations, SIS heterozygosity level was the lowest, but the polymorphism was high, with more low-frequency loci. In population differentiation analysis, the results of the two markers were similar. The results of population differentiation analysis of the two markers showed that populations XH-F and SyAqua were highly differentiated from other populations. In the present study, both molecular markers were able to clearly classify different populations of L. vannamei. PCA analysis showed that there were obvious differences among different groups. In phylogenetic tree and ancestral estimation analysis, SSR can only classify six populations into three groups. At the individual level, SSR was more suitable for distinguishing genetic differences among individuals. When the K value increases, SSR may face limitations that prevent further subdivision of the population into six groups. In contrast, SNPs exhibit stronger discriminative ability and can clearly divide these six populations into six groups. The data and results generated from this study will contribute to enriching the genetic resources of L. vannamei and provide important reference information for its artificial breeding and genetic improvement. About this data, it is composed of microsatellite sequencing data (.fsa) and resequencing filtered data (VCF format).
DOI: 10.17632/sm4y3wmg3z
title: High-salt avoidance in a blood feeder 

description: Data for Pontes et al 2021
DOI: 10.17632/34d6kb4yc3
title: LINF_140006000

description: DnaJ domain-containing protein | JDP35 | J35; Leishmania infantum (strain JPCM5)
DOI: 10.17632/n5cxb94yzm
title: Data for: Probiotics for childhood functional gastrointestinal disorders: do we know what we advise?
DOI: 10.6084/m9.figshare.16592459.v1
title: Supplementary Material for: A Systematic Review of Potentially Effective Nonpharmacological Interventions for Reducing Fatigue among Iranian Patients Who Receive Hemodialysis

description: <b><i>Background and Purpose:</i></b> Fatigue control in hemodialysis (HD) patients requires a multidisciplinary approach. This study aimed to comprehensively review the available research literature regarding the nonpharmacological interventions used for reducing fatigue among Iranian HD patients. <b><i>Methods:</i></b> In this systematic review, an extensive search of the literature was conducted on PubMed, Web of Science, and Scopus databases, using the keywords related to the purpose. Also, the Persian equivalent of these keywords was searched in Iranian databases, such as Iranmedex and Scientific Information Database (SID) from the inception to June 16, 2020.<b><i> Results:</i></b> Of 2,761 articles, 25 studies were included in the review. Among a total of 1,748 Iranian HD patients with a mean age of 54.17 (SD = 12.27) years, 61.38% were male. Interventions such as educational-based programs (<i>n</i> = 5), nutrition-based programs (<i>n</i> = 2), massage therapy (<i>n</i> = 3), exercise-based programs (<i>n</i> = 4), relaxation technique (n = 3), combination of relaxation technique and inhalation aromatherapy (<i>n</i> = 1), energy therapy (reflexology and acupressure) (<i>n</i> = 3), and mind-guided imagery (<i>n</i> = 1) were effective in reducing fatigue in Iranian HD patients. <b><i>Discussion/Conclusion:</i></b> These simple, low-cost, and practical interventions can be used for the reduction of fatigue among HD patients by nurses. However, future well-designed studies are recommended to confirm the efficacy of these and other potentially effective interventions for reducing fatigue in HD patients.
DOI: 10.17632/vdv6fy2yjt
title: Crustal evolution of alkali basalts: A case study of the Cenozoic Datong volcanoes, North China Craton

description: This dataset is used to study the crustal evolution of alkaline basalts from the Cenozoic volcanic group in Datong, Shanxi. The hypothesis is that the geochemical and mineralogical characteristics of these basalts provide crucial information on the differentiation and storage conditions of magma in the crust, revealing the magmatic evolution mechanisms during ascent and emplacement.
Data Collection Methods：
1.Point Counting Method: Modal mineral composition analysis of basalt thin sections was performed, providing quantitative data for olivine, clinopyroxene, plagioclase, and the matrix. 
2.Electron Probe Microanalysis (EPMA): An electron probe was used to analyze the major elements of key mineral phases, including olivine, clinopyroxene, plagioclase, and the matrix. Probe conditions typically included an accelerating voltage of 15 kV and a beam current of 20 nA, ensuring precise measurements of mineral chemical compositions.
3.Whole-rock Major and Trace Element Analysis: Major elements were determined by X-ray fluorescence (XRF), and trace elements were analyzed by inductively coupled plasma mass spectrometry (ICP-MS). Standard and blank samples were used for calibration to ensure the accuracy of the data.
Key Findings：
1.Mineral Composition: The composition of olivine phenocrysts suggests fractional crystallization. The chemical composition of clinopyroxene indicates crystallization in evolved magmas. Compositional variations in plagioclase reflect dynamic conditions within the magma system. The presence of clinopyroxene-olivine-plagioclase glomerocrysts indicates magmatic mixing and storage processes.
2. Geochemical Trends: Whole-rock major element data reveal the alkaline nature of the basalts, while trace element data indicate significant magmatic differentiation. Differences in SiO2 and MgO content between Group 1 and Group 2 samples suggest varying degrees of magmatic evolution and storage depths.
3. Insights into Crustal Evolution: Mineral-melt equilibrium thermobarometry calculations show that Group 1 and 2 basalts crystallized in different magma chambers. Continuous magmatic replenishment may have driven the evolution of the volcanic conduit system, resulting in differing differentiation histories for the two groups.
These data help reconstruct the petrogenetic evolution of the Datong basalts, highlighting the role of fractional crystallization and magmatic replenishment within the crust, providing strong support for the evolution of alkaline basalts in the crust.
This dataset can be used for regional petrological comparisons, crustal evolution studies, and further crust-magma interaction modeling. Researchers should consider possible uncertainties in the analysis process and calibration standards to ensure accurate interpretation. This dataset provides significant support for volcanic petrology and regional crustal dynamics research.
DOI: 10.17632/mvb9y32hpv
title: Exploring patterns of ongoing thought under naturalistic and conventional task-based conditions 

description: In the 'Exploring patterns of ongoing thought under naturalistic and conventional task-based conditions' paper we used 9 different tasks and measured ongoing thought using multidimensional experience sampling. A Principal Component Analysis of the experience sampling data revealed four patterns of ongoing thought. Linear Mixed Modelling was used to conduct a series of exploratory analyses aimed at examining contextual distributions of these thought patterns. A repeated measures analysis of variance (ANOVA) was run to examine how the contextual influences on each dimension of thought related to the measures of affective style. Our study characterises how the thoughts people think vary across multiple task conditions, providing new insight about the variation of ongoing thought patterns across contexts that include both conventional and naturalistic situations. Please refer to the readme document below for further details.
DOI: 10.17632/9zxt47grjf
title: Temperature-dependent gene expression in chick neural progenitors

description: RNA sequence data of differentially expressed genes in chick neural progenitors cultured at 30ºC and 37ºC. The data are related to the paper "Temperature sensitivity of Notch signaling underlies species-specific developmental plasticity and robustness in amniote brains" by Nomura et al. in Nature Communications (10.1038/s41467-021-27707-5).
DOI: 10.17632/vfyhyz2tjg
title: Simulating and Assessing Carbon Markets

description: This study simulates carbon markets more accurately with a Multi-CDF inversion approach coupled with GARCH volatility model. Without the restriction of a normal distribution assumption, atypical patterns of price return distribution in illiquid and immature markets are modeled appropriately. Furthermore, the simulations demonstrate reliable replications of both the variability of volatility and volatility clustering phenomena. The interdependence among carbon markets and other financial markets is effectively incorporated and modeled through a multivariate simulation. Not only the existing price gap between the Korean and the EU ETS markets but a probabilistic analysis based on the simulation suggests that the Korean ETS market is underpriced relative to carbon price prospects provided by major institutions. The probability of reaching the price levels projected by the institutions is estimated as low as below 15% while that of the EU ETS reaches up to over 40%. If we presume that the Korean ETS follows a trajectory similar to that of the EU ETS market’s historical evolution, the Korean ETS could potentially face a risk of price surges.
DOI: 10.17632/6gtf9wxj3j
title: Effect of drilling induced defects on the mechanical properties of carbon fiber-reinforced thermoplastic polyamide

description: The files represent the result for the flexural and tensile tests. The initial state as well as two different drill hole qualities were examined. The quasi-static experiments of the undrilled / drilled specimens were carried out on an universal testing machine. The 5.9 mm diameter holes were made in the center of gravity. Ultimate tensile (UTS), open-hole tensile (OHT) and ultimate flexural (UFS), open-hole flexural (OHF) strengths and the load progression were determined for at least five individual test specimens. The test set-up for the 4-point flexural tests were adapted from ISO 14125. The corresponding set-up for the tensile tests was in accordance to ISO 527-4. Both test set-ups are describe in detail in the manuscript. A first key finding is that the drill hole quality has neither a critical influence onto the fiber dominated strength under tensile load nor onto the matrix dominated flexural strength. Both drill hole qualities led to about the same decrease of the particular strength value in comparison with the undrilled specimens. Therefore one can say, that the borehole itself is by far the most strength limiting factor, whereas the machining quality seems to be minor relevant for the strength behavior in drilled thermoplastic CFRP laminates under static loading. A second key finding is that the detected strength degradation induced by a 5.9 mm borehole was significantly higher under 4-point flexural loading (14%) compared to the 8 % under tensile loading. This shows, that tests under 4-point flexural load have a greater influence on the mechanical properties of drilled CFRTP than under tensile load.
DOI: 10.25405/data.ncl.19329278.v1
title: False vacuum decay in an ultracold spin-1 Bose gas

description: <b>Figure 4 data:</b>Each panel shows cos(phi(x,t)) for a different random seed: x data: x.dat (length(x) = 601) t data: t.dat (length(t) = 16001) cos(phi):( 16001 rows, 601 columns. -Each row r contains cos(phi(x, t_r)) -Each column c contains cos(phi(x_c, t)) Top left panel: lam1p70_eps0p05_rhoxi20_cos_phi1_0002.dat Top right panel: lam1p70_eps0p05_rhoxi20_cos_phi1_0007.dat Bottom left panel: lam1p70_eps0p05_rhoxi20_cos_phi1_0006.dat Bottom right panel: lam1p70_eps0p05_rhoxi20_cos_phi1_0011.dat <br><b>Figure 5 data:</b> Left Panel (Li): * Markers with error bars: 7Li_Gamma_vs_rhoxi.csv Col1: rho*xi Co12: Gamma Col3: error bar * Dotted line (instanton fit): 7Li_Gamma_vs_rhoxi_fit.csv Col1: rho*xi Col2: Gamma Right Panel (K): * Markers with error bars: 41K_Gamma_vs_rhoxi.csv Col1: rho*xi Co12: Gamma Col3: error bar * Dotted line (instanton fit): 41K_Gamma_vs_rhoxi_fit.csv Col1: rho*xi Col2: Gamma
DOI: 10.17632/9pnzj57n27
title: LINF_150014400

description: Flp2; Leishmania infantum (strain JPCM5)
DOI: 10.17632/85nv6fdjbz
title: Data Set of Preference for selecting college student work in education

description: This data is the result of statistical processing about the preferences of students in education in choosing work after completing lectures. Indicators that influence a student in choosing work. there are 8 indicators namely, work fields (Government Work Sector, Non-Governmental, Entrepreneurship), Education Suitability to the work field, (suitable, not suitable), Salary (&gt; IDR 3,500,000, IDR 3,001,000 - 3,500,000, IDR 2,001,000 - 3,000,000, 20 km), and Workplace Facilities (family allowances, medical benefits, operational vehicles). Data were obtained by converting questionnaires to 105 students in Bengkulu University education
DOI: 10.6084/m9.figshare.22208782.v1
title: Tree growth is correlated with hydraulic efficiency and safety across 22 tree species in a subtropical karst forest

description: A karst forest is a habitat where access to soil water can be challenging for plants. Thus, safe and efficient xylem water transport and large internal water storage may benefit tree growth. In this study, we selected 22 tree species from a primary subtropical karst forest in southern China and measured their xylem anatomical traits, saturated water content, hydraulic conductivity, and embolism resistance. Additionally, we monitored diameter growth in 440 individual trees of various sizes over three consecutive years. Our objective was to analyze the relationships among xylem structure, hydraulic efficiency, safety, water storage, and growth of karst tree species. The results showed structural but no significant hydraulic trait differences between deciduous and evergreen species. Large vessel diameter, paratracheal parenchyma, and high saturated water content correlated with high xylem hydraulic conductivity. Embolism resistance was not correlated with studied anatomical traits, and no trade-off with hydraulic conductivity was observed. In small trees (5-15 cm diameter at breast height), diameter growth rate was independent of hydraulic traits. In large trees (&gt; 15 cm diameter at breast height), high hydraulic conductivity and high embolism resistance accounted for high diameter growth rate. From lower to greater embolism resistance, the size-growth relationship shifted from growth deceleration to acceleration with increasing tree size in eight of the 22 species. Our study highlights the vital contributions of xylem hydraulic efficiency and safety to growth rate and dynamics in karst tree species; therefore, we strongly recommend their integration into trait-based forest dynamic models.
DOI: 10.6084/m9.figshare.5630254.v1
title: FE Models of Fetal Kick Reaction Force

description: Models for predicting fetal kick reaction force.
DOI: 10.17632/rjnc3x6yyr
title: Association of branched-chain amino acids with mortality-the Ludwigshafen Risk and Cardiovascular Health (LURIC) study ,moissl A.P. et al.

description: raw R code to reproduce figures
DOI: 10.6084/m9.figshare.16586105.v1
title: Supplementary Material for: Real-World Evidence for a Smartwatch-Based Parkinson’s Motor Assessment App for Patients Undergoing Therapy Changes

description: <b><i>Introduction:</i></b> Parkinson’s disease (PD) is poorly quantified by patients outside the clinic, and paper diaries have problems with subjective descriptions and bias. Wearable sensor platforms; however, can accurately quantify symptoms such as tremor, dyskinesia, and bradykinesia. Commercially available smartwatches are equipped with accelerometers and gyroscopes that can measure motion for objective evaluation. We sought to evaluate the clinical utility of a prescription smartwatch-based monitoring system for PD utilizing periodic task-based motor assessment. <b><i>Methods:</i></b> Sixteen patients with PD used a smartphone- and smartwatch-based monitoring system to objectively assess motor symptoms for 1 week prior to instituting a doctor recommended change in therapy and for 4 weeks after the change. After 5 weeks the participants returned to the clinic to discuss their results with their doctor, who made therapy recommendations based on the reports and his clinical judgment. Symptom scores were synchronized with the medication diary and the temporal effects of therapy on weekly and hourly timescales were calculated. <b><i>Results:</i></b> Thirteen participants successfully completed the study and averaged 4.9 assessments per day for 3 days per week during the study. The doctor instructed 8 participants to continue their new regimens and 5 to revert to their previous regimens. The smartwatch-based assessments successfully captured intraday fluctuations and short- and long-term responses to therapies, including detecting significant improvements (<i>p</i> &lt; 0.05) in at least one symptom in 7 participants. <b><i>Conclusions:</i></b> The smartwatch-based app successfully captured temporal trends in symptom scores following application of new therapy on hourly, daily, and weekly timescales. These results suggest that validated smartwatch-based PD monitoring can provide clinically relevant information and may reduce the need for traditional office visits for therapy adjustment.
DOI: 10.17632/n3wzjd54pj
title: Traffic measurements in Amalias Street. Conventional Road vs Shared Space

description: Amalias street is a downtown one-way and 278 m long street, which still serves access of vehicles to the pedestrianized (historical) city center of Nafplio. Amalias Street. is divided into two main sections: conventional road section and shared space road section. This allows meaningful comparisons in pedestrians' and drivers' behavior without conducting a before-after analysis. The dataset contains: vehicle headways, vehicle speeds and types, pedestrian volumes and crossings per 2-minutes time interval collected by radar detectors and manual counts in both section of the street. The traffic experiment was conducted on June 19th, 2021 at 11:30-14:00 and 18:00-20:30. Pedestrian crossings were increased in shared space, while vehicle speeds significantly dropped presenting lower variance compared to the conventional road section. Additionally, pedestrian crossings are negatively correlated to vehicle speeds in shared space; yet, no significant relationship between these two variables is reported in the courtesy crossing of the first section.
DOI: 10.6084/m9.figshare.24463519.v1
title: hh10_hh15.zip

description: Development (2023) 150, dev202010. doi:10.1242/dev.202010
DOI: 10.17632/d67p75295v
title: Integrated Operating Rooms: Systematic Mapping Review

description: Protocol, extraction form, and data set resulting from conducting an SMS on Integrated Operating Rooms (IORs)
DOI: 10.17632/fj5nb2vpn7
title: Methodology for predicting the self-extinction of standardized arc faults in photovoltaic systems

description: Paper: https://doi.org/10.1016/j.solener.2024.112714
- Modelling files (CSVs): arc modelling shown in paper (Figure 7), using IEC 63027 electrode.
- Validation files (CSVs): Arc Self-Extinction Prediction Method Validation, shon in the paper (Figure 9).
DOI: 10.6084/m9.figshare.10069985.v2
title: Data for: Timing the origin of eukaryotic cellular complexity with ancient duplications

description: Phylogenetic trees and their annotations.<br>
DOI: 10.17632/46vkdkjvv4
title: LINF_140019200

description: Pyrroline-5-carboxylate reductase; Leishmania infantum (strain JPCM5)
DOI: 10.17632/k2gghybhzz
title: Impact of Climate Change and Nutrient Influx on Huanglong Karst Ecosystem Dynamics and Tufa Deposition

description: Dataset for the paper "Impact of Climate Change and Nutrient Influx on Huanglong Karst Ecosystem Dynamics and Tufa Deposition"
DOI: 10.17632/m4ntrpm4r9
title: Data for: Distorted Perceptual Face Maps

description: The attached files include x/y pixel coordinate data for both the hand and face tasks, as well as distance in both pixels and cm for pairs of landmarks used in analyses reported in the paper.
DOI: 10.17632/yxp37csy5x
title: MLQD: A package for machine learning-based quantum dissipative dynamics

description: Machine learning has emerged as a promising paradigm to study the quantum dissipative dynamics of open quantum systems. To facilitate the use of our recently published ML-based approaches for quantum dissipative dynamics, here we present an open-source Python package MLQD (https://github.com/Arif-PhyChem/MLQD), which currently supports the three ML-based quantum dynamics approaches: (1) the recursive dynamics with kernel ridge regression (KRR) method, (2) the non-recursive artificial-intelligence-based quantum dynamics (AIQD) approach and (3) the blazingly fast one-shot trajectory learning (OSTL) approach, where both AIQD and OSTL use the convolutional neural networks (CNN). This paper describes the features of the MLQD package, the technical details, optimization of hyperparameters, visualization of results, and the demonstration of the MLQD's applicability for two widely studied systems, namely the spin-boson model and the Fenna–Matthews–Olson (FMO) complex. To make MLQD more user-friendly and accessible, we have made it available on the Python Package Index (PyPi) platform and it can be installed via pip install mlqd. In addition, it is also available on the XACS cloud computing platform (https://XACScloud.com) via the interface to the MLatom package (http://MLatom.com).
DOI: 10.17632/53cgwr36gw
title: Mayonnaise enriched with sesame meal and lemon zest

description: This is supplementary data for the article "SESAME MEAL AND LEMON ZEST – ENRICHED MAYONNAISE: PROXIMAL ANALYSIS AND TOXICOLOGICAL STUDIES IN ANIMALS "