cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11417070.v1
title: Unmet Care Needs of Children with ADHD

description: To improve our understanding of receiving treatment in specialized mental health care, we studied unmet care needs of children with ADHD. Because care needs may vary depending on the intensity of care we included patients who had been referred to an outpatient mental healthcare setting, or to a setting providing youth Assertive Community Treatment (youth-ACT). This comparison enabled us to judge the influence of severity of psychiatric and psychosocial problems on unmet care need. Further, since parents are involved differently in younger versus older children, we investigated unmet care needs in two age groups: primary school children and adolescents.
DOI: 10.6084/m9.figshare.17132201.v2
title: AS_Chronic_Metabolomics.xlsx

description: Untargeted GC-TOF MS, HILIC-TOF MS, Lipidomics positive and negative mode, and targeted oxylipins, endocannabinoids, and fatty acid data from an almond study.
DOI: 10.6084/m9.figshare.25305640.v1
title: Data supporting Metagenome-assembled genome of the glacier alga <i>Ancylonema</i> yields insights into the evolution of streptophyte life on ice and land

description: Data supporting Metagenome-assembled genome of the glacier alga <i>Ancylonema</i> yields insights into the evolution of streptophyte life on ice and landIncludes: Nucleotide file for Ancylonema MAG, Protein file for Ancylonema MAG and genes used to infer species phylogenies in Bowles et al (2024)
DOI: 10.6084/m9.figshare.28509410.v1
title: Global price index of all commodities forecasts

description: International Monetary Fund Global Price Index of All Commodities forecasts for the period from 07/2011 to 12/2024, obtained during the realization of the National Science Centre, Poland, grant number 2022/45/B/HS4/00510, Bayesian dynamic mixture models: An application to the study of time-varying determinants of commodity prices.
DOI: 10.6084/m9.figshare.28953863.v1
title: <i>Helicoverpa assulta</i> genome

description: <b>Chromosome-level genome assembly of </b><b><i>Helicoverpa assulta</i></b><b> (Noctuoidea: Noctuidae)</b>
DOI: 10.6084/m9.figshare.4029285.v1
title: Jurabrontes curtedulensis laserscanner 3D models

description: <b>Laserscanner 3D models of <i>Jurabrontes curtedulensis</i></b><br>Laserscanner 3D models and Processing reports of holotype, two paratypes and a referred specimen of <i>Jurabrontes curtedoulensis </i>obtained in the field in May 2011 with a FARO Platinum Scanarm 3.0 m. Processing information in the associated pdf.Files are labelled accordingly the track modeled.<br><br>This is a supporting material for http://dx.doi.org/10.1080/08912963.2017.1324438<br><b>Citation for this article</b>: Marty D., Belvedere M., Razzolini N.L., Lockley M.G., Paratte G., Cattin M., Lovis C. and Meyer C.A. 2017. The tracks of giant theropods (<i>Jurabrontes curtedulensis</i> ichnogen. & ichnosp. nov.) from the Late Jurassic of NW Switzerland: palaeoecological and palaeogeographical implications. Historical Biology. doi: 10.1080/08912963.2017.1324438
DOI: 10.6084/m9.figshare.6171473.v1
title: Figure 4c from Foliage motion under wind, from leaf flutter to branch buffeting

description: Matlab code generating figure 4c with raw data
DOI: 10.17632/75jfpmbx23
title: The data set off Emotional Intelligence, Perceived Organizational Politics, and Organizational Outcomes

description: This data set is the result of analysis of Emotional Intelligence, Perceived Organizational Politics, and Organizational Outcomes from 237 regional work unit (SKPD) Civil Servants in North Maluku Province, Ternate City, Tidore Islands City, and North Halmahera Regency. There are five variables in this data set, namely Emotional Intelligence, Perceived Organizational Politics, Job Satisfaction, Job Involvement and organizational citizenship behavior.
DOI: 10.6084/m9.figshare.11303372.v3
title: Intracranial aneurysm genome-wide association study summary statistics 2020

description: <b>Summary statistics of a genome-wide association study of intracranial aneurysms in 10,754 cases and 306,882 controls.</b><b><br></b><b>Dataset described in: </b>Genome-wide association study of intracranial aneurysms identifies 17 risk loci and genetic overlap with clinical risk factors<b><br></b>Bakker, M.K. et alNature Genetics, 16 November 2020doi: 10.1038/s41588-020-00725-7https://www.nature.com/articles/s41588-020-00725-7<br><b><br></b>The study consisted of 2 stages. Stage 1: European ancestry only. Stage 2: European and East Asian ancestry.Extra files:-Association statistics of the East Asian subset only.-Association statistics of only aneurysmal subarachnoid hemorrhage versus controls-Association statistics of only unruptured intracranial aneurysms versus controls-Association statistics excluding the UK Biobank (4 files): Stage 1 excluding UK Biobank, Stage 2 excluding UK Biobank, European-only aSAH-only excluding UK Biobank, and cross-ancestry aSAH-only excluding UK Biobank.<br>Please check the <b>Data Access Policy</b> for further information regarding data use, access and options for additional analyses.
DOI: 10.6084/m9.figshare.13340597.v1
title: Single-cell Transcriptome Analysis for Chronic Obstructive Pulmonary Disease

description: Chronic obstructive pulmonary disease (COPD) is a progressive disease that obstructs the airflow from the lungs, and tobacco smoking is the major cause of COPD. Here, we applied single-cell RNA sequencing to analyze COPD pathogenesis in COPD patients, non-COPD smokers and never-smokers and investigated the disease progression at single-cell resolution. COPD:JK02, JK05, JK07, JK08, JK09, JK10, Non-COPD smoker: JK01, JK03, JK04, Never Smoker: JK06, JK11, JK12
DOI: 10.6084/m9.figshare.1425048.v2
title: Subject_13_1 from Appelgren and Bengtsson, Feedback on Trait or Action Impacts on Caudate and Paracingulum Activity, Plos one 2015

description: Subject 13 Session Task from Appelgren and Bengtsson, Feedback on Trait or Action Impacts on Caudate and Paracingulum Activity, Plos one 2015
DOI: 10.6084/m9.figshare.17029595.v1
title: Fig data

description: data deposit<br>
DOI: 10.6084/m9.figshare.21453873.v1
title: mtDNA annotation

description: mtDNA annotation for<em> Chrysomela aeneicollis</em>
DOI: 10.6084/m9.figshare.24235513.v2
title: Dataset.zip

description: Nutritional status and nutrient intake adequacy of Nursing and Midwifery students in Ghana
DOI: 10.6084/m9.figshare.28448000.v1
title: Microbiome Abundance Generated by MGM 2.0

description: This dataset contains gut microbiome abundance data for 17 diseases, generated using MGM 2.0, a microbial foundation model designed for contextualized microbiome analysis. It includes two CSV files:1. <b>abundance.csv</b> – A matrix representing the relative abundance of microbial taxa across samples, where rows correspond to genera and columns to samples.2. <b>labels.csv</b> – Metadata or classification labels associated with the samples.This dataset is suitable for benchmarking, model evaluation, and microbiome classification tasks. For details on data processing and modeling, please refer to the corresponding publication.
DOI: 10.6084/m9.figshare.7980062.v1
title: dataset

description: question answering dataset
DOI: 10.6084/m9.figshare.11413008.v1
title: Marine sediments illuminate Chlamydiae diversity and evolution - additional data

description: Full alignments (.align), trimmed alignments (.align.trim), and phylogenetic trees in nexus format (.tree) for all phylogenetic inferences presented in the study. This includes concatenated protein alignments (.align.trim.concat) and trees (.tree). All 16S rRNA gene OTUs generated from amplicon sequencing of the 30 marine sediment samples are also included, alongside their taxonomic classification (.fasta).
DOI: 10.6084/m9.figshare.16636265.v1
title: Dataset from Human voice pitch measures are robust across a variety of speech recordings: methodological and theoretical implications

description: Fundamental frequency (<i>f</i><sub>o</sub>), perceived as voice pitch, is the most sexually dimorphic, perceptually salient and intensively studied voice parameter in human nonverbal communication. Thousands of studies have linked human <i>f</i><sub>o</sub> to biological and social speaker traits and life outcomes, from reproductive to economic. Critically, researchers have used myriad speech stimuli to measure <i>f</i><sub>o</sub> and infer its functional relevance, from individual vowels to longer bouts of spontaneous speech. Here, we acoustically analysed <i>f</i><sub>o</sub> in nearly 1000 affectively neutral speech utterances (vowels, words, counting, greetings, read paragraphs and free spontaneous speech) produced by the same 154 men and women, aged 18–67, with two aims: first, to test the methodological validity of comparing <i>f</i><sub>o</sub> measures from diverse speech stimuli and second, to test the prediction that the vast inter-individual differences in habitual <i>f</i><sub>o</sub> found between same-sex adults are preserved across speech types. Indeed, despite differences in linguistic content, duration, scripted or spontan­­eous production and within-individual variability, we show that 42–81% of inter-individual differences in <i>f</i><sub>o</sub> can be explained between any two speech types. Beyond methodological implications, together with recent evidence that inter-individual differences in <i>f</i><sub>o</sub> are remarkably stable across the lifespan and generalize to emotional speech and nonverbal vocalizations, our results further substantiate voice pitch as a robust and reliable biomarker in human communication.
DOI: 10.6084/m9.figshare.21321150.v1
title: Data set for "Late Oligocene orogen-scale tilting in the northern margin of flat Tibet: a response to northward injection of the Tibetan lower crust?"

description: New and previous apatite (U-Th)/He data across the EKLS. <strong>Table. S1</strong> Sample descriptions and apatite (U-Th)/He mean ages in the Golmud region. <strong>Table S2.</strong> Sample descriptions and apatite (U-Th)/He mean ages in the Xiangride region. <strong>Table S3.</strong> Single-grain apatite (U-Th)/He analysis in this study. <strong>Table S4.</strong> (U-Th)/He analysis of standard Durango. <br> <br>
DOI: 10.17632/dd2sy8837k
title: PSYCHOLOGICAL PREDICTORS OF INJURY IN DIVISION III COLLEGIATE STUDENT-ATHLETES

description: This study examined five psychological variables in an NCAA Division III population that have previously been reported to predict injury in collegiate athletes at the Division I level. The psychological variables included in this study were: life stress, social support, coping resources, trait anxiety, and hardiness. Male and female participants (n = 125) from six Division III sport teams completed surveys measuring each variable, and answered demographic questions of gender, sport type, year in school, and history of previous injury. Information was collected at the beginning and end of each sport season. A logistic regression model was computed with the psychological and demographic variables serving as predictors, and a dichotomous dependent variable of injury occurrence. Three predictor variables demonstrated significant relationships with injury occurrence: sport type, previous injury, and coping resources. Based on the mediocre strength of the model, it was concluded that the injuries of Division III student-athletes may not be predicted by psychological variables to the same degree as Division I student-athletes. It may be that Division III student-athletes respond differently to factors such as life stress, social support, hardiness, or trait anxiety compared to Division I counterparts. The emergence of coping resources as a significant predictor of injury in Division III student-athletes warrants further investigation for its injury prevention potential. Further research exploring the potential influence of these psychological predictors on injury frequency at the Division III level is needed to determine if Division III student-athletes’ injuries can be predicted in a similar manner to Division I.
DOI: 10.17632/r8vxsh9rwh
title: Prediction of phases and mechanical properties of magnesium-based high- entropy alloys using machine learning: A Data Paper

description: The data is of HEA of magnesium composed of Mg, Al, Cu, Mn and Zn. The first five columns represent percentages by weight of the Mg matrix and alloying elements. These were followed by ultimate tensile strength (UTS) and yield strength (Yield) in MPa. The next column presents Young's Modulus (E) in GPa. The columns that followed represented number of elements (Num_of_Elem), calculated alloy density (Density_calc) and diffusion and thermodynamic features. The features were: Enthalpy of mixing (dHmix), entropy of mixing (dSmix), change of Gibbs free energy of the mix (dGmix), melting temperature (Tm), number of parameters (n_Para), Atomic size difference (Atom_Size_Diff), electronegativity difference (Elect_Diff), valence electron concentration (VEC), alloy synthesis route (Synthesis_Route), hot or cold working processing (Hot_Cold_Working), homogenization temperature (Homogenization_Temp), homogenization time in hours (Homogenization_Time), annealing temperature in degrees Celcius (Annealing_Temp), Annealing time in hours (Annealing_Time), if quenching was done (Quenching), multiphases present in microstructure (Multiphase), intermetallic structure (IM_Structure), Phases, crystal structure (Structure).

The data underwent a thorough cleaning process, was scrutinized for any missing values, and subsequently encoded and transformed to suit machine learning applications. The selection of pertinent features was accomplished through techniques such as backward elimination, forward selection, and regularization. Feature engineering was employed to devise novel features like calculated density (Density_calc), entropy change upon mixing (dSmix), atomic size disparity (Atom_Size_Diff), electronegativity variance (Elect_Diff), and valence electron concentration (VEC). The iterative testing phase assessed the influence of these newly engineered features on the performance of the model, which contributed to the refinement of the results. 

The finalized dataset comprised 60 instances and 29 attributes. Tests for multicollinearity confirmed that the variance inflation factor (VIF) values remained within acceptable limits.
DOI: 10.6084/m9.figshare.16618255.v7
title: Pearl River estuary microbiome and virome

description: <b>Project description:</b> Deep metagenomic sequencing on microbial and viral communities in surface waters of the Pearl River estuary (PRE), a typical subtropical. <b>Data description: </b>Data for assembly, MAGs, viral like contigs and populations generated using the PRE microbial metagenomic data sets - data includes:PRET1608S??F00_idba-ud_final.fna.gz: the contigs generated from virome(&lt;0.2 μm) (5 files).PRET1608S??F0{2/7}_megahit_final.fna.gz: the contigs generated from cellular metagenome(0.2-0.7 μm and 0.7-2.7μm) (10 files).PRET1608S??F0{2/7}_MAGs.tar.gz: MAGs with ≥ 50% completeness and ≤ 10% contamination of each metagenome.<br>PRE_all_dereplicated_MAGs.tar.gz: 1,205 non-redundant prokaryotic genomes with ≥ 50% completeness and ≤ 10% contamination.<br>PRE_viral_contigs.fasta: Putative viral contigs identified from contigs of all the three size fractions in PRE (1 file).PRE_viral_contigs_95-80.fna: Viral populations based on 95% nucleotide identity and 80% of the genome coverage criterion (1 file).Supplementary Table 1: Statistics for each of the prokaryotic draft genomes, including completion and contamination. <br>Supplementary Table 2: The distribution of each viral population in each PRE metagenome and the taxonomy assignment of each viral population at family level.<br>Supplementary Table 3: The statistics for each viral populations determined by checkV, including the length and completeness.<br>SupplementalInformation1-6: the alignment, tree file and iTOL profile of bacterial and archaeal MAGs.SupplementalInformation7: The name match between the sra files and libraries deposited in NCBI, the assembly files , genome files deposited in figshare and the alias referenced in the Tables and Supplementary Tables.
DOI: 10.6084/m9.figshare.24461239.v1
title: all csv files used for analysis of NCBI data

description: all csv files used for analysis of NCBIall files with "WOAH" in it are the disease and disease agents from WOAH's list (see manuscript for link) all breed files (with breed names in name) are from web scrapingMASTER_DATA_coordinates_FINAL_AUG_5: cleaned mined data from NCBI
DOI: 10.6084/m9.figshare.25681098.v1
title: Data of "<b>The scent of habitat shift: olfactory receptor evolution is associated with environmental transitions in turtles</b>"

description: Input data files and R script for the article "<b>The scent of habitat shift: olfactory receptor evolution is associated with environmental transitions in turtles</b>.""Olf_Receptors_Joan_Dataset_06.08.23.csv"Input file for the phylogenetic comparative analyses. It contains data of functional olfactory receptor genes of class I and class II, the ratio between these two variables and habitat for 22 turtle species."Boxplot_Receptors_20.10.23.csv"Input file used for the boxplot. Is the same dataset but including 23 species (i.e. Gopherus evgoodei) "Validation.csv"Input file used for the comparison of our study with Bentley et al. 2022."1-s2.0-S1055790316304316-mmc2.nwk"Phylogenetic tree obtained from Pereira et al. (2017) that was used for the comparative analysis."code_ORs_turtles.R"R script used for the study.
DOI: 10.17632/8xy2ck2cwv
title: Data for: Vertical movement of the forehand in dressage horses walking in different head-neck positions with and without riders

description: Data for manuscript submitted to J Vet Behav 2019-05-17
DOI: 10.6084/m9.figshare.12424343.v1
title: Pina et al ZC raw data

description: Ecological study of body condition of loggerhead nesting females of Cabo Verde<br>
DOI: 10.6084/m9.figshare.13622420.v1
title: Supplementary Material for: Duchenne and Becker Muscular Dystrophies’ Prevalence in MD STAR<b><i>net</i></b> Surveillance Sites: An Examination of Racial and Ethnic Differences

description: <b><i>Introduction:</i></b> Previous studies indicated variability in the prevalence of Duchenne and Becker muscular dystrophies (DBMD) by racial/ethnic groups. The Centers for Disease Control and Prevention’s (CDC) Muscular Dystrophy Surveillance, Tracking, and Research network (MD STAR<i>net</i>) conducts muscular dystrophy surveillance in multiple geographic areas of the USA and continues to enroll new cases. This provides an opportunity to continue investigating differences in DBMD prevalence by race and ethnicity and to compare the impact of using varying approaches for estimating prevalence. <b><i>Objective:</i></b> To estimate overall and race/ethnicity-specific prevalence of DBMD among males aged 5–9 years and compare the performance of three prevalence estimation methods. <b><i>Methods:</i></b> The overall and race/ethnicity-specific 5-year period prevalence rates were estimated with MD STAR<i>net</i> data using three methods. Method 1 used the median of 5-year prevalence, and methods 2 and 3 calculated prevalence directly with different birth cohorts. To compare prevalence between racial/ethnic groups, Poisson modeling was used to estimate prevalence ratios (PRs) with non-Hispanic (NH) whites as the referent group. Comparison between methods was also conducted. <b><i>Results:</i></b> In the final population-based sample of 1,164 DBMD males, the overall 5-year prevalence for DBMD among 5–9 years of age ranged from 1.92 to 2.48 per 10,000 males, 0.74–1.26 for NH blacks, 1.78–2.26 for NH whites, 2.24–4.02 for Hispanics, and 0.61–1.83 for NH American Indian or Alaska Native and Asian or Native Hawaiian or Pacific Islander (AIAN/API). The PRs for NH blacks/NH whites, Hispanics/NH whites, and NH AIAN/API/NH whites were 0.46 (95% CI: 0.36–0.59), 1.37 (1.17–1.61), and 0.61 (0.40–0.93), respectively. <b><i>Conclusions:</i></b> In males aged 5–9 years, compared to the prevalence of DBMD in NH whites, prevalence in NH blacks and NH AIAN/API was lower and higher in Hispanics. All methods produced similar prevalence estimates; however, method 1 produced narrower confidence intervals and method 2 produced fewer zero prevalence estimates than the other two methods.
DOI: 10.6084/m9.figshare.21671462.v1
title: Fig.2 Cell counting retina

description: Dataset supporting Fig.2
DOI: 10.6084/m9.figshare.6086075.v1
title: Supplementary Material for: Combination of Mean Platelet Volume/Platelet Count Ratio and the APACHE II Score Better Predicts the Short-Term Outcome in Patients with Acute Kidney Injury Receiving Continuous Renal Replacement Therapy

description: <b><i>Background/Aims:</i></b> Both the Acute physiology and Chronic Health Evaluation (APACHE II) score and mean platelet volume/platelet count Ratio (MPR) can independently predict adverse outcomes in critically ill patients. This study was aimed to investigate whether the combination of them could have a better performance in predicting prognosis of patients with acute kidney injury (AKI) who received continuous renal replacement therapy (CRRT). <b><i>Methods:</i></b> Two hundred twenty-three patients with AKI who underwent CRRT between January 2009 and December 2014 in a Chinese university hospital were enrolled. They were divided into survivals group and non-survivals group based on the situation at discharge. Receiver Operating Characteristic (ROC) curve was used for MPR and APACHE II score, and to determine the optimal cut-off value of MPR for in-hospital mortality. Factors associated with mortality were identified by univariate and multivariate logistic regression analysis. <b><i>Results:</i></b> The mean age of the patients was 61.4 years, and the overall in-hospital mortality was 48.4%. Acute cardiorenal syndrome (ACRS) was the most common cause of AKI. The optimal cut-off value of MPR for mortality was 0.099 with an area under the ROC curve (AUC) of 0.636. The AUC increased to 0.851 with the addition of the APACHE II score. The mortality of patients with of MPR &gt; 0.099 was 56.4%, which was significantly higher than that of the control group with of ≤ 0.099 (39.6%, P= 0.012). Logistic regression analysis showed that average number of organ failure (OR = 2.372), APACHE II score (OR = 1.187), age (OR = 1.028) and vasopressors administration (OR = 38.130) were significantly associated with poor prognosis. <b><i>Conclusion:</i></b> Severity of illness was significantly associated with prognosis of patients with AKI. The combination of MPR and APACHE II score may be helpful in predicting the short-term outcome of AKI.
DOI: 10.6084/m9.figshare.774608.v7
title: experiment

description: _
DOI: 10.17632/57x2r6k8v7
title: Date for: Incremental validity of the Dual Self-Directed Humor Scale in predicting psychological well-being: Beyond the Big Five personality traits and four humor styles

description: data
DOI: 10.17632/6t2wb55m8d
title: LoadSignatures_CR

description: This dataset contains feature-based load signatures from electrical residential devices that were used for appliance identification in the paper: Smart Meter-Enabled Feature Extraction for Appliance Identification in Non-Intrusive Appliance Load Monitoring Algorithms. The data set holds load signatures for eight different end-uses: refrigerator, stove, dryer, lighting, water heating, air conditioning, microwave and washing machine, which in total corresponds to 197 load signatures from 64 Costa Rican households. Each load signature is composed by seven power and time-related features: average power, peak power, average daily events, average daily energy, day use factor, night use factor and time of use. The load signatures in the dataset are stored in comma separated files (csv). There are two main folders: (i) 0_general contains the average and deviation values of the load signatures, and (ii) 1_by_device contains all the load signatures divided by end-use.