cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/58vncdhrw2
title: Data for paper: KEY FACTORS IDENTIFICATION FOR TQM SUCCESS: A SYSTEM DYNAMICS-STRUCTURAL EQUATION MODELLING APPROACH

description: Data for paper entitled "KEY FACTORS IDENTIFICATION FOR TQM SUCCESS: A SYSTEM DYNAMICS-STRUCTURAL EQUATION MODELLING APPROACH"
DOI: 10.6084/m9.figshare.19694767.v1
title: Amide descriptors

description: amide dataset <br>
DOI: 10.6084/m9.figshare.28965620.v1
title: SMR_ML_data.zip

description: Dataset related to manuscript "Single-Cell Biophysical Profiling and Machine Learning Enable Monitoring Recombinant AAV Production in Transfection-based Processes".
DOI: 10.6084/m9.figshare.29151373.v1
title: Additional file 10 of Integrating bioinformatics and machine learning to identify biomarkers of branched chain amino acid related genes in osteoarthritis

description: Supplementary Table 8: The Gene-disease association analysis, two biomarkers were associated with 38 diseases.
DOI: 10.17632/vm8j5dvrxy
title: MultiPatient Elderly Respiration dataset in Digital Twin Technology

description: The research focus for this study is to generate a larger respiration dataset for the creation of elderly respiration Digital Twin (DT) model. Initial experimental data is collected with an unobtrusive Wi-Fi sensor with Channel State Information (CSI) characteristics to collect the subject's respiration rate. 

The generation of a DT model requires extensive and diverse data. Due to limited resources and the need for extensive experimentation, the data is generated by implementing a novel statistical time series data augmentation method on single-subject respiration data. The larger synthetic respiration datasets will allow for testing the signal processing methodologies for noise removal,Breaths Per Minute (BPM) estimation, extensive Artificial Intelligence (AI) implementation.

The sensor data is for BPM from 12BPM to 25BPM for a single subject. Normal respiration rate ranges from 12BPM to 16BPM and beyond this is considered abnormal BPM. A total of 14 files are present in the dataset. Each file is labeled according to the BPM. All 30 patient data are present for each BPM. Patient are numbered as "P1, P2, P3, .... untill P30"

This data can be utilized by researchers and scientists toward the development of novel signal processing methodologies in the respiration DT model. These larger respiration datasets can be utilized for Machine Learning (ML) and Deep Learning (DL) in providing predictive analysis and classification of multi-patient respiration in the DT model for an elderly respiration rate.
DOI: 10.6084/m9.figshare.28282703.v1
title: Data: Effects of yeast genotype and plant identity on sucrose concentration of <i>Helleborus foetidus </i>nectar

description: An experiment was conducted on the early-blooming perennial herb <i>Helleborus foetidus</i> L. (Ranunculaceae) and the dominant yeast inhabiting its floral nectar, <i>Metschnikowia reukaufii</i> Pitt & M. W. Mill. (Metschnikowiaceae, Saccharomycetales). Floral nectar for the experiment was obtained in the field (Sierra de Cazorla, SE Spain) from 20 widely spaced <i>H. foetidus</i> plants whose inflorescences had been previously bagged at the bud stage to exclude pollinators. Nectar from many flowers (mean ± SE = 23 ± 2 flowers sampled/plant, 5-10 µL of nectar per flower) was gathered into a single bulk sample for each individual plant, and stored at ‑20ºC until used. Ten <i>M. reukaufii</i> strains isolated from nectar of unbagged<i> H. foetidus</i> flowers from the same population were chosen for the experiment.The experimental layout consisted of a two-way factorial design, with<i> M. reukaufii</i> genotype (<i>N</i> = 10) and <i>H. foetidus</i> individual (<i>N</i> = 20) as main factors, and two<i> </i>replicates per each genotype x individual combination (<i>N</i> = 381 experimental units; some plants had not sufficient nectar for replication). Each experimental unit consisted of a 0.2 mL PCR tube containing 15 mL of virgin, sterile nectar plus 1 mL of <i>M. reukaufii</i> cell suspension taken from a fresh culture on standard liquid medium. To assess differences among genotypes in initial cell densities, two replicated control tubes were also set per yeast genotype at the time of inoculation, each consisting of 15 mL of 10% lactophenol cotton blue (LCB hereafter) solution plus 1 mL of <i>M. reukaufii</i> cell suspension. After inoculation, all experimental tubes were held at 25ºC without agitation. Two aliquots were taken from each experimental unit for chemical analyses at 24 h and 48 h after inoculation. Samples of virgin nectar from experimental plants (<i>N</i> = 40, two aliquots per plant) and all nectar samples taken in the course of the experiment (<i>N</i> = 762) were analyzed using ion-exchange high performance liquid chromatography.This data repository consists of the following two files:<b>Sucrose.conc.csv</b><br><br>Delimited text file containing results of the experiment. Variable names are in the first row of the file, as follows:<br>"planta" = plant ID<br>"cepa_name" = yeast strain ID<br>"tanda" = length of exposure time (24h or 48 h)<br>"area_sac_pre" = pre-exposure sucrose concentration<br>"mean.dens" = initial yeast cell density<br>"con_sac" = post-exposure sucrose concentration.<br>Concentrations expressed on a weight-to-weight basis.<br><b>R.script.txt</b><br><br>R script to perform analyses of the data<br>
DOI: 10.6084/m9.figshare.7584239.v1
title: HEK293 nicastrin heterozygous deletion amplicon-seq - samtools flagstat

description: These data are the samtools flagstat of an amplicon-seq from a HEK293 cell line with heterozygous deletion of nicastrin.<br>
DOI: 10.17632/cfxkpn6hj9
title: Data for Modern Soil Chronometry using Fallout Radionuclides

description: We describe environmental gamma spectrometry data for &gt;700 soil samples collected from &gt;35 high-resolution quantitative soil profiles spanning global sites. The data are collected for the purpose of modern soil chronometry based on fallout radionuclides (FRNs) 7Be and 210Pb, using the Linked Radionuclide Accumulation model (LRC). Cumulative gamma counting time for samples in the database exceeds 6.5 years. This is a living database to be augmented as data become available and corrected with improvements in data reduction or identification of errors. Versions and changes will be indexed. Special attention is paid to measurement uncertainties in the dataset, as well as how atmospheric or excess 210Pb is defined in both geochemical and mathematical terms for use in the LRC model. Basic familiarity with gamma spectrometry and radionuclide decay chains is assumed.
DOI: 10.17632/jbz3jk2mxr
title: Data for: Restoration of buried organic carbon for catagenesis-affected rocks using Rock-Eval thermal analysis: Assumptions, performance, and uncertainty analysis

description: Original data related to Wang et al. (2025)'s paper.
DOI: 10.17632/yg3f3x3mbb
title: Tracking gastrointestinal nematode risk on cattle farms through pasture contamination mapping

description: Raw faecal egg count and climate data used to populate the model, and pseudocode to generate model outputs for the manuscript 'Tracking gastrointestinal nematode risk on cattle farms through pasture contamination mapping' are made available.
DOI: 10.6084/m9.figshare.24145539.v1
title: Data and R code from Davison <i>et al</i>. "Niche types and community assembly" Ecology Letters

description: Description of the data collection and workflowThe data collection includes 4 R scripts and 4 data sources (3 .csv files and 1 RData object). In combination, the R scripts and data objects can be used to replicate the analyses and figures in Davison et al. "Niche types and community assembly" Ecology Letters. The R scripts call the data sources (which need to be present in the working directory) and should be run in series: step1-&gt;step4. However, because some analytical steps are time consuming, the script includes the possibility to save the output of a step as an RData object that can be loaded at the beginning of the following step. It is also possible to load the RData object 'plottingdata.RData', included in the collection, in order to move directly to the analyses and plotting in step 4 without needing to complete steps 1-3.File contents<i>R scripts</i>Rscript_calculate_niches_step1: Uses AMF communty data and environmental metadata to estimate niche space for AMF taxa (VT).Rscript_analyse_niche_overlap_step2: estimates niche overlap between pairs of VT.RScript_generate_randomisations_step3: implements a stratified randomisation of the AMF community data.RScript_manuscript_analyses_figures_step4: estimates correlations between niche types/axes and models differences in community-level niche differentiation. Plots correlation heatmaps and boxplots.<br><i>Data sources</i>AMFcomm_shared: normalised AMF community data from Davison et al 2021 https://doi.org/10.1111/nph.17240 for use in niche estimation.AMFcomm_shared<i>_</i>raw: raw AMF community data (read counts) from Davison et al 2021 https://doi.org/10.1111/nph.17240 for use in randomisation.plottingdata.RData: data objects including VT niche differentiation estimates and randomised community data matrices for direct use in analysis and plotting (i.e., RScript_manuscript_analyses_figures_step4).meta_shared: environmental meta data from sampling points for use in defining and estimating niche space among VT; and for stratifying randomisation. Soil and climatic variables are taken from Davison <i>et al</i>. (2021) https://doi.org/10.1111/nph.17240; fungal community composition (fungal MDS1 and fungal MDS2) are taken from Vasar <i>et al</i>. (2022) https://doi.org/10.1111/geb.13487; prokaryotic community composition (prokaryotic MDS1 and prokaryotic MDS2) are taken from Vasar <i>et al</i>. (2022) https://doi.org/10.1111/geb.13487; plant community composition (plant MDS1 and plant MDS2) and read counts (bires) are taken from Vasar <i>et al</i>. (2023) https://doi.org/10.3389/fpls.2023.1106617. Columns Olson_REALM and Olson_BIOME_NAME define biogeographic realms and biomes according to Dinerstein <i>et al</i>. 2017 https://doi.org/10.1093/biosci/bix014.<br><br><br><br>
DOI: 10.6084/m9.figshare.25010720.v1
title: Extension of Japan prefectural emission accounting and enrich socioeconomic data 1990 to 2020

description: This database offers an in-depth view of Japan's carbon emission trends and distribution across its 47 prefectures over three decades, from 1990 to 2020. Developed in response to Japan's shift from nuclear to fossil fuel-based energy post-Fukushima, it highlights the challenges in meeting emission reduction targets. The database meticulously compiles emissions data based on the consumption of three primary fossil fuels across 29 sectors, including a separate accounting for emissions from local power generation. It uniquely blends energy consumption data from prefectural natural resources and energy departments with emissions data from power plants, providing a granular view of the energy landscape. Moreover, the database enriches this emission data with corresponding socioeconomic factors such as population, GDP, land prices, green space, and road infrastructure, sourced from official Japanese statistical resources. This fusion of environmental and economic data offers a multi-faceted perspective, crucial for formulating targeted carbon reduction strategies and sustainable development policies.
DOI: 10.6084/m9.figshare.7907294.v1
title: Supplementary Material for: Emergency Consultations in Dermatology in a Secondary Referral Hospital in Southern Switzerland: A Prospective Cross-Sectional Analysis

description: <b><i>Background/Aims:</i></b> The spectrum of dermatological emergencies is broad. Only a few studies have assessed the profile of dermatological conditions resulting in an emergency visit in a referral hospital. We sought to assess the conditions prompting an urgent dermatological visit and to compare the diagnoses with those made during the regular scheduled encounters. <b><i>Methods:</i></b> We performed a cross-sectional study of all patients with a cutaneous problem attending our emergency consultation during a 7-month period. The study variables were gender, age, duration of symptoms, diagnosis, need for hospitalization and/or follow-up. We further evaluated patients attending scheduled visits to compare the demographic characteristics and diagnoses between the two groups. <b><i>Results:</i></b> Six hundred fifty-two consecutive patients with an urgent dermatological consultation were included. Three hundred sixty (55.2%) were women and 292 (44.8%) were men. Infectious diseases (32.8%) as well as various forms of eczema (24.8%) constituted the most frequent causes for an emergency visit. Approximately 40% of emergency visits took place more than 1 week after the development of the cutaneous manifestations. The most frequent disorders seen in the 1,738 control patients included benign melanocytic and nonmelanocytic tumors (27.2%) and malignant skin lesions (11.5%). <b><i>Conclusions:</i></b> Our study indicates that the dermatological diagnoses in the emergency visits significantly differ from those of the routinely scheduled appointments. In a significant portion of patients, the use of an emergency consultation was not justified. This study provides support to the idea that a specific training is required to manage dermatological emergencies and that efforts should be made to reduce unjustified emergency visit use.
DOI: 10.6084/m9.figshare.8139545.v1
title: KneeXrayData

description: Knee X-ray images for knee joints detection and knee Kellgren and Lawrence grading.
DOI: 10.6084/m9.figshare.1365585.v3
title: Data S1: Simulated 1-on-1 outcome and preparatory body state

description: Effect of parameters on the attack-and-defend system (Fig. 3 A-F).Simulated 1-on-1 outcome and defender’s and attacker’s preparatory body state in observed and non-observed condition.
DOI: 10.6084/m9.figshare.28959509.v1
title: <b>Tree diversity alters CUE thermal response</b>

description: In the context of global warming, understanding microbial responses to temperature changes is crucial for predicting soil carbon dynamics, but whether soil microbial carbon use efficiency (CUE) are adaptive to warming remains unclear. Here, we assayed thermal responses of microbial respiration, growth rates and CUE using soils across a natural plant species diversity gradient in a subtropical mature forest, southwest China. We found that higher tree species diversity strengthened both thermal compensation adaptation of microbial respiration and growth, and the thermal enhancement adaptation of microbial CUE. These adaptations were mainly attributed to reduced temperature responsiveness of bacterial K:r ratio, and amplified temperature responsiveness of enzymatic activity, and intensified competitive interactions within fungal taxa. Our findings suggest that restoring and conserving plant species diversity can enhance soil’s capacity to mitigate climate change, not only by reducing respiratory losses but also via increasing soil organic carbon stability.
DOI: 10.6084/m9.figshare.29083484.v1
title: Gridded data of embodied carbon from cement

description: 5,538,063 records are weight in urban building ECE of cement in two urban agglomerations from 2000 to 2020 at 500×500m grid scale.
DOI: 10.6084/m9.figshare.3520595.v1
title: Appendix C. Sensitivity analysis of multi-scale SIR model with exponentially distributed infectious period.

description: Sensitivity analysis of multi-scale SIR model with exponentially distributed infectious period.
DOI: 10.17632/2gw2rxb4g9
title: LC-MS/MS data LOPP-HA-OE jianwei tor 250509

description: My research uncovered the resource trade-off mechanism between plant growth and immunity, which is associated with the energy sensor TOR and involves the phosphatase LOPP that plays a critical role in immunity. This dataset contains the LC-MS/MS data used in my paper.
DOI: 10.17632/6jwppvxwrr
title: Electronic Media use and Sleep Disorders among adolescents during the Covid-19 Pandemic

description: Background: One of the negative impacts of electronic media use is the occurrence of sleep disturbances. Due to the COVID-19 pandemic, the use of electronic media in families, including in adolescent, has been increasing. Objective: This study aimed to describe the association between electronic media use and sleep disturbances in adolescents in Palembang. Methods: A cross-sectional study was conducted in January to February 2021. Participants were 14–17-year-old high school students who completed a questionnaire to assess electronic media use and a Sleep Disturbance Scale for Children (SDSC) questionnaire to assess sleep disturbances. Results: One hundred and fifty-seven participants enrolled in this study. The majority of the participants were 16 years old or older (56.7%), used smartphones (93%) with a median of media use 10 hours a day. None of the participants’ characteristic variables showed statistically significant correlations. Similarly, none of the electronic media use variables showed statistically significant correlations. Conclusion: Most of adolescents in this study have used electronic media for more than 6 years, with median use 10 hours per day, for non-educative purposes. Despite findings that most of them experience sleep disturbances, there was no statistically significant association between electronic media use and sleep disturbances in adolescents.
DOI: 10.17632/8vnwdnpgv8
title: Data for: Peak systolic velocity of Fetal middle cerebral artery to predict anemia in Red Cell Alloimmunization in un-transfused and transfused fetuses

description: master sheet of all IUT cases
DOI: 10.17632/z8zh5rpthg
title: Small peptides in SMILES and three-dimensional formats for virtual screening campaigns

description: The data are structures of dipeptides, tripeptides and tetrapeptides constructed from all possible combinations of 20 natural and common amino acids. The data are related to a data article in Data in Brief.
DOI: 10.6084/m9.figshare.14777082.v1
title: Supplementary Material for: Online Tool (Brain Assessment) for the Detection of Cognitive Function Changes during Aging

description: <b><i>Introduction:</i></b> It is well-known that cognitive function declines with age. In order to detect changes in cognitive function, cognitive tests should be performed repeatedly. Currently existing cognitive tests come in only a single version, so the subject is likely to remember the contents with repeated testing. And, under the outbreak of coronavirus disease 2019 (COVID-19), in-person assessment should be avoided. This study was performed to develop a new cognitive test (brain assessment, BA) that has 5 versions and can be performed on a personal computer (PC) through the Internet. <b><i>Materials and Methods:</i></b> Five thousand subjects performed the online BA, which consisted of 5 subtests: number memory, word memory, mental rotation test, N-back test, and judgment test. We standardized the raw scores (cognitive scores, CSs) using mean and standard deviation, which were 50 and 10, respectively. Then, we calculated the mean CS for each sex and age, plotted the relationships between ages and mean CSs on figures, and calculated the formula of cognitive changes during normal aging. <b><i>Results:</i></b> The CSs of all subtests decreased with aging. The regression coefficient was from −0.31 to −0.45. It is noteworthy that in most subtests, the CSs started to increase at 85 years of age. <b><i>Discussion:</i></b> Our BA has 5 versions and can be done on a PC using the Internet. We tested the BA in a large number of subjects, and the standard values of CSs were measured in individuals up to 89 years of age. By performing this test repeatedly, subjects can evaluate the degree of their cognitive decline. If the rate of cognitive decline is greater than that predicted using the normalized formula, the subjects can undertake strategies to improve their control of lifestyle-related diseases or other habits of daily living. <b><i>Conclusion:</i></b> The BA can be easily taken online using a PC, and its scores linearly declined with normal aging. The BA will be useful for detecting longitudinal cognitive changes and comparing them to the pattern seen in normal aging.
DOI: 10.6084/m9.figshare.17817494.v4
title: Wind and elevation data

description: Wind data used in Lü et al. (2022), Geophys. Res. Lett., e2021GL097636.<br>
DOI: 10.6084/m9.figshare.19775152.v3
title: Dataset of Large Gathering Images for Person Identification and Tracking in Intelligent Video Surveillance Applications

description: This dataset can be used for testing face recognition with algorithms specially in large gathering scenario.
DOI: 10.6084/m9.figshare.24117117.v1
title: Files needed for the plot_gubbins.R example.

description: Files needed for the plot_gubbins.R example, generated from the analysis described in https://doi.org/10.1186/s13073-022-01147-2.
DOI: 10.6084/m9.figshare.22817336.v1
title: Table 2 charred plant remains from Medieval Phase 1 deposits excavated at Bey More, Co. Meath 19E0405

description: CSV file containing details of identified charred plant remains from Bey More, Co. Meath, 19E0405
DOI: 10.6084/m9.figshare.24516694.v2
title: SD_FIG1-7.xlsx.xlsx

description: Source data for Fig.1 to Fig. 7
DOI: 10.6084/m9.figshare.25567290.v1
title: Magnetic data

description: Complete Magnetometer Data- Tunguska Survey
DOI: 10.6084/m9.figshare.27200847.v2
title: <b>Efficacy and Safety of Eight-Week Therapy with Ashwagandha Root Extract in Improvement of Sexual Health in Healthy Men: Findings of a Prospective, Randomized, Double-Blind, Placebo-Controlled Study</b>

description: Ashwagandha, a traditional Indian Ayurvedic remedy, an adaptogen, may improve sexual dysfunction in men and women. This 8-week prospective, double-blind, randomized, placebo-controlled study evaluated the efficacy and safety of Ashwagandha Root Extract (ARE) on improving sexual health in healthy adult men based on Satisfying Sexual Events (SSEs), the Sexual Desire Inventory (SDI-2), the International Index of Erectile Function (IIEF) score, semen parameters and the Quality Of Life (QOL) using the SF-12 tool. A total of 100 healthy men aged 30 to 50 years were randomly assigned to receive ARE 300 mg twice daily (n=50), or identical placebo (n=50) in a 1:1 ratio for 8 weeks. Study assessments were done at baseline, week 2, week 4, and week 8. Three participants from ARE and four participants from the placebo group were excluded due to follow-up loss. The efficacy analyses were done on Per-Protocol (PP) dataset of 93, whereas safety analyses were done on all 100 participants. Significant improvements were observed with ARE for semen volume (p=0.005), sperm number (p=0.006), sperm concentration (p=0.007), and sperm morphology (p=0.007). The improvement in scores was better with ARE for SDI-2 (p&lt;0.05), orgasm and sexual desire domains of IIEF (p&lt;0.05), and SF-12 (p&lt;0.0001). No adverse events were reported in the study.