cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16910380.v1
title: Raw data dominance behaviour and qPCR expression of Senegalese sole enriched environment experiment

description: Raw data from the enriched environment experimento performed in Senegalese sole juveniles related to dominance behaviour.
DOI: 10.6084/m9.figshare.17100122.v1
title: Modelling impacts of lateral N flows and seasonal warming on an arctic footslope ecosystem N budget and N2O emissions based on species-level responses

description: These datasets support the article which is under the review in the journal "Biogeochemistry".<br>The datasets include the model accepted runs and four scenario runs. <br>The readers should use CoupModel (www.coupmodel.com) to open the file and browse the data.
DOI: 10.6084/m9.figshare.17430560.v1
title: Tweets recolectados

description: Base de datos de tweets
DOI: 10.17632/f8rhxzkvvh
title: Supplementary Figures and Tables

description: Supplementary Figures and Tables
DOI: 10.17632/g8y4vmtvyb
title: Potential mechanisms of hamstring strain injuries during sprinting acceleration phase in soccer players: A biomechanical investigation

description: Sprinting is the most common activity associated with hamstring strain injuries in soccer. However, the potential mechanisms for hamstring strain injuries during the acceleration phase of sprinting are unclear. Therefore, this study aimed to characterize these elements in soccer players and define the potential mechanism of hamstring strain injury. Ten male soccer players with no lower-limb injuries in the past year were recruited for this study. Each participant was instructed to perform a minimum of three successful 15 m sprints. Hamstring kinematics and activations were estimated by employing musculoskeletal modeling and wireless electromyography to define potential injury mechanisms. During the acceleration phase, the hamstring muscles undergo great strain and high activation levels during the late swing and early stance phases. The hamstring muscles experienced overloading during the foot strike of the running gait cycle. Additionally, the biceps femoris long head was significantly more stretched than the semimembranosus and semitendinosus (p < 0.01, p < 0.05). Based on these results, hamstring injuries are likely to occur during the late-swing and initial stance of the running gait cycle, with the biceps femoris long head being more susceptible to injuries than other hamstring muscles.
DOI: 10.6084/m9.figshare.13553789.v1
title: kraken_output.tar.gz

description: Kraken output for draft assemblies of 82 KpSC strains. First to fourth columns are included.
DOI: 10.6084/m9.figshare.21688676.v1
title: Supplementary Material for: Do Proximal Risk Factors Mediate the Impact of Affect on Symptoms of Generalized Anxiety Disorder and Major Depressive Disorder? An Extension of the Hierarchical Model of Cognitive Vulnerability

description: <b><i>Background:</i></b> Major depressive disorder (MDD) and generalized anxiety disorder (GAD) are among the most prevalent forms of psychopathology. The hierarchical model of cognitive vulnerability proposes that higher order risk factors explain co-occurrence among internalizing disorders, whereas lower order risk factors explain discordance. <b><i>Methods:</i></b> Participants (<i>N</i> = 646; mean age = 38.50, SD = 10.00; 49.2% female) were recruited from Amazon MTurk to complete self-report questionnaires related to psychopathology in the summer of 2020. Structural equation modeling was used to examine the relations that negative affect (NA) and positive affect (PA) share with MDD and GAD, through rumination and intolerance of uncertainty (IU), cross-sectionally. <b><i>Results:</i></b> When modeling both IU and depressive rumination together as explaining the indirect effects from affect to psychopathology, the association between NA and symptoms of MDD was explained by depressive rumination. There were no indirect effects from PA to MDD or GAD symptoms. When modeled separately, both risk factors explained the associations NA shared with MDD and GAD symptoms. <b><i>Conclusions:</i></b> The present study extends the hierarchical model of cognitive vulnerability by finding that depressive rumination explains the association between NA and symptoms of MDD, even when controlling for IU.
DOI: 10.6084/m9.figshare.28077401.v1
title: <b>Transcriptomics Characteristics and Differentiation of </b><b>Subcutaneous Adipose Tissue among </b><b>Huainan Pigs</b><b> and its Hybrid Genetic Populations</b>

description: In our study, our objective is to elucidate the regulatory mechanisms of subcutaneous fat in the offspring resulting from crosses between Huainan pigs and the lean-type pigs, namely Yorkshire, Landrace, and Berkshire. We aim to identify key genes that have the potential to influence subcutaneous fat thickness using RNA-seq technology. Subsequently, we found that LIPG, PLIN2, CPT1A, KLF9, CCND1, LDLR, ACSL1, ACLY, and ANGPTL4 are differentially expressed in the subcutaneous fat tissue of Huainan × Berkshire pigs (BH), Huainan × Yorkshire pigs (YH), and Huainan × Landrace pigs (LH). Among these groups, LH exhibits a stronger subcutaneous fat deposition ability compared to the other two, whereas YH has the lowest fat deposition ability. This study represents the first exploration of differences in subcutaneous fat tissue between Huainan pigs and the aforementioned lean-type pigs, providing valuable resources and a foundation for the further development and utilization of Huainan pigs.
DOI: 10.17632/hvkzc2gcbf
title: Exposure to Chatgpt

description: The is the data set obtained from students
DOI: 10.6084/m9.figshare.27613242.v4
title: clustering and survival analysis on multi-omics datasets

description: multi-omics data: the input data of the analysis, including miRNA, gene expression data, DNA methylation data, and survival outcome data. All the data were downloaded from TCGA.code: 1. data preprocessing. 2. clustering patients in each omics layer and performing Kaplan-Meier survival analysis to determine the association between patient clusters and survival outcomes. 3. differential expression analysis to identify features that are associated with patients with consistent survival outcomes.
DOI: 10.17632/t6bkgtkhgs
title: cars

description: car dataset
DOI: 10.6084/m9.figshare.21175492.v3
title: Soil biodiversity supports the delivery of multiple ecosystem functions in urban greenspaces

description: This excel file includs soil biodiversity across biomes, plant diversity, and the  microbial functional traits, and also includs multiple ecosystem functions.
DOI: 10.6084/m9.figshare.23508846.v1
title: 03 Reads mapped to the decontaminated genome in fastq format. HiFi genome

description: HiFi reads generated from Nemertoderma westbladi. They have been (kind of) cleaned from contaminations by mapping them to the decontaminated genome.
DOI: 10.6084/m9.figshare.25909855.v3
title: Organelle genomes of two <i>Rhododendron</i> species

description: Organelle genomes of two <i>Rhododendron</i> species
DOI: 10.6084/m9.figshare.28883810.v1
title: Data For Food Selectivity in Children with ASD: An Investigation of Sensory, Motor, and Behavioral Aspects

description: <b>Introduction:</b> Food selectivity is highly prevalent in children with Autism Spectrum Disorder (ASD), characterized by strong food preferences and aversions. Sensory, gastrointestinal, motor, and behavioral factors may contribute to selective patterns. Although there is growing interest in the topic, there are still gaps in the literature regarding the interaction between these different factors.<b>Objective:</b> to investigate sensory, motor, gastrointestinal, and behavioral aspects involved in food selectivity in children with ASD.<b>Method:</b> This was a descriptive, exploratory, and quantitative study conducted with caregivers of children with ASD, aged between 2 years and 6 years and 11 months, who agreed to participate by signing a consent. Data were collected through an electronic questionnaire and analyzed using descriptive statistics<b>Results:</b> Responses were obtained from 152 caregivers. According to them, 92.1% of the children refuse to try new foods; 49.7% only accept foods from specific brands or packages; 51.3% do not tolerate mixed foods on the plate; 83.4% do not eat vegetables and 63.6% reject fruits; 57.7% only accept foods at specific temperatures; 47.0% only eat foods of certain colors and 47.0% prefer crunchy foods. Some children have extremely restricted diets, accepting only two or three types of food. Strong indications of tactile hyperreactivity were observed in a significant portion of the children (85.4% show discomfort when touching different textures; 76.2% feel uncomfortable when they are dirty; 70.9% do not tolerate washing, combing or cutting their hair; 67.5% have difficulty cutting their nails and 55.6% have difficulty brushing their teeth). Auditory and olfactory sensitivities were also found in more than 60% of the children. Regarding chewing, 32.5% keep food in their mouths for long periods; 34.7% chew on only one side of the mouth; and 66.9% swallow without chewing properly, with frequent episodes of choking occurring in 30.7% of the children. Motor agitation was observed in 56.3% of the children; 43.7% have tantrums or cry, making eating difficult. Ritualistic behaviors were observed in nearly 50% of the children, and 31.3% refuse to eat outside the home. Regarding gastrointestinal symptoms, 30.5% frequently vomit after meals; 41.7% have gas or abdominal distension, and 43.7% have constipation. Only 19.2% have some type of allergy or intolerance diagnosed.<br><br><b>Conclusion:</b> This study highlighted the multifaceted nature of food selectivity in children with ASD. The results reinforce the significant impact of sensory sensitivities, oral-motor limitations, gastrointestinal alterations, behavioral challenges, and rigid eating patterns on food acceptance and meal dynamics. These difficulties compromise not only nutritional status but also negatively affect family routines, social participation, and the child's quality of life.
DOI: 10.17632/jmyvtsjw47
title: Data for: Energy prices volatility and the United Kingdom: Evidence from a Dynamic Stochastic General Equilibrium Model

description: Matlab codes and data
DOI: 10.17632/zcky9dypsr
title: CMTM6 shapes antitumor T cell response through modulating protein expression of CD58 and PD-L1. Beiping Miao et al.

description: here is the original data for the manuscript submitted
DOI: 10.6084/m9.figshare.19112528.v3
title: Hot pack data.xlsx

description: Data on temperature changes in various body sites when using the hot pack
DOI: 10.6084/m9.figshare.24205335.v1
title: RAW DATA FIELD EXTENSION WORK MOTIVATION Survey at Agricultural Extension Center in Jambi Province

description: The research titled "FIELD EXTENSION WORK MOTIVATION Survey at Agricultural Extension Center in Jambi Province" aims to investigate the impact of Leadership, Organizational Culture, and Motivation on the performance of agricultural extension workers in Jambi Province. The study encompasses four main variables: Leadership, Organizational Culture, Motivation, and Performance. The research employed a survey design, and the research instruments were developed and validated using the following procedures: Content Validity Index (CVI). Following validation, data were collected from a population of 1866 individuals, and G Power was used to determine the sample size, resulting in a total of 1084 respondents. Out of these, 1016 respondents' data were processed and analyzed using the systematic steps of Partial Least Square Structural Equation Modeling (PLS-SEM) and Importance-Performance Map Analysis (IPMA).The key findings of the study support all hypotheses. The most influential predictor for Leadership Role is Fieldwork Motivation (β = 0.532, p &lt; 0.000; t = 2.034), followed by Organizational Culture, which has a significant impact on Field Worker Performance (β = 0.432, p &lt; 0.000; t = 14.465). In contrast, the weakest correlation was found between Field Work Motivation and Field Extension Worker Performance (β = 0.093, p &lt; 0.011; t = 2.567). Additionally, Leadership Role has a relatively weaker impact on Field Worker Performance (β = 0.098, p &lt; 0.042; t = 2.034). Finally, Organizational Culture significantly affects Field Work Motivation (β = 0.235, p &lt; 0.000; t = 7.808).
DOI: 10.6084/m9.figshare.26087842.v1
title: HiGTS_2008s3

description: HiGTS is a high temporal resolution global gridded dataset of human thermal stress metrics. Derived using climate variables from ERA5-Land and ERA5, the HiGTS consists of hourly gridded maps of Universal Thermal Climate Index (UTCI), Universal Thermal Stress (UTS), and daily Thermal Stress Duration (TSD) at 0.1° × 0.1° spatial resolution over the global land surface.HiGTS_2008s3 contains the data from July 1, 2008 to September 30, 2008.
DOI: 10.6084/m9.figshare.26867101.v1
title: spei03.nc

description: <b>Licensing</b>The Global 0.5° gridded SPEI dataset is made available under the Open Database License (https://opendatacommons.org/licenses/odbl/1-0/). Any rights in individual contents of the database are licensed under the Database Contents License (https://opendatacommons.org/licenses/dbcl/1-0/).What follows is a human-readable summary of the ODbL 1.0 license. Please, read the full ODbL 1.0 license text for the exact terms that apply.Users of the dataset are free to:<b>Share</b>: copy, distribute and use the database, either commercially or non-commercially.<b>Create</b>: produce derivative works from the database.<b>Adapt</b>: modify, transform and build upon the database.Under the following conditions:<b>Attribution</b>: You must attribute any public use of the database, or works produced from the database, by citing one or more of the papers referenced in the References section below. For any use or redistribution of the database, or works produced from it, you must make clear to others the license of the original database.<b>Share-Alike</b>: If you publicly use any adapted version of this database, or works produced from an adapted database, you must also offer that adapted database under the ODbL.Details of the SPEIbase and the comparison with other available drought data sets can be fammel in:<br>Vicente-Serrano et al. (2010)Berguería et al. (2010)
DOI: 10.6084/m9.figshare.28334051.v1
title: Datasets required to replicate the study findings

description: he World Health Organization has identified ST23 carbapenem-resistant hypervirulent <i>Klebsiella pneumoniae</i> (CR-hvKP) as a critical public health threat. Through China's national surveillance system (BRICS), we identified and characterized ST23 CR-hvKP bloodstream isolates from 2019–2023.
DOI: 10.6084/m9.figshare.28861832.v1
title: The area-weighted mean and standard deviations of Ω<sub>Arag</sub> across model grid cells within each region of interest at each depth layer (0 m, 25 m, 50 m, 100 m, and 200 m)

description: Ocean acidification has been identified in the Planetary Boundary Framework as a planetary process approaching a boundary that could lead to unacceptable environmental change. Using revised estimates of pre-industrial aragonite saturation state, state-of-the-art data-model products, including uncertainties, and assessing impact on ecological indicators, we improve upon the ocean acidification planetary boundary assessment and demonstrate that by 2020, the average global ocean conditions had already crossed into the uncertainty range of the ocean acidification boundary. This analysis was further extended to the subsurface ocean, revealing that up to 60% of the global subsurface ocean (down to 200 m) had crossed that boundary, compared to over 40% of the global surface ocean. These changes result in significant declines in suitable habitats for important calcifying species, including 43% reduction in habitat for tropical and subtropical coral reefs, up to 61% for polar pteropods, and 13% for coastal bivalves. By including these additional considerations, we suggest a revised boundary of 10% reduction from pre-industrial conditions more adequately prevents risk to marine ecosystems and their services; a benchmark which was surpassed by year 2000 across the entire surface ocean.This dataset is the area-weighted mean and standard deviations of Ω<sub>Arag</sub> across model grid cells within each region of interest at each depth layer (0 m, 25 m, 50 m, 100 m, and 200 m) generated using Matlab, from the Jiang et al. 2022 (https://doi.org/10.25921/9ker-bc48) and Jiang et al. 2024 (https://doi.org/10.25921/vdnc-q403) model-data products as described in Findlay et al. 2025 Ocean Acidification: Another Planetary Boundary Crossed. Regions are: global, polar (Arctic defined by the area north of 65°N and Southern Ocean defined by the area south of 45°S), tropical (between 40°S to 40°N), coast (within 300 km from shore) and the California Current Ecosystem (CCE, defined by the geographic box of 47.5°N to 21.5°N, 108.5°W to 132.3°W).
DOI: 10.17632/3cv9mvckkh
title: Acoustic emission

description: Audio files of acoustic emissions of data, which are presented in "Detection of acoustic emission from nanofiber nonwovens under tensile strain – an ultrasonic test setup for critical medical device components" 
3 audio files of PLLA*S, PLLA*M, and PLLA*L,
and 3 audio files of incomplete stretched samples of PLLA*M

one principle sketch: Air coupled AE setup
DOI: 10.17632/5ng63z84vk
title: Migraine in Adults: Preventive Pharmacologic Treatments

description: Suggested citation: Shamliyan TA, Kane RL, Taylor FR. Migraine in Adults: Preventive Pharmacologic Treatments. Comparative Effectiveness Review No. 103. (Prepared by the University of Minnesota Evidence-based Practice Center under Contract No. 290-2007-10064-I) AHRQ Publication No. 13-EHC068-EF. Rockville, MD: Agency for Healthcare Research and Quality; April 2013. www.effectivehealthcare.ahrq.gov/reports/final.cfm. This report is based on research conducted by the Minnesota Evidence-based Practice Center (EPC) under contract to the Agency for Healthcare Research and Quality (AHRQ), Rockville, MD (Contract No. 290-2007-10064-I).
DOI: 10.6084/m9.figshare.24787773.v2
title: 3D STL models of Human Airways for CFD and CFPD simulations.

description: This is a 3D STL dataset of human airways ready for a CFD or CFPD simulation. It is suitable for both OpenFOAM and StarCCM+. This dataset is a comprehensive representation of a larger database that comprises 420 human respiratory tract 3D models. data.txt is a list with the details of what represents each group in the folders.
DOI: 10.6084/m9.figshare.26871199.v1
title: Data from Genome-Wide Association Mapping in Exotic x Canadian Elite Crosses: Mining Beneficial Alleles for Agronomic and Seed Composition Traits in Soybean

description: Phenotypic Data: The RIL populations along with their respective parents (n=294) were planted in three test environments over two years in Southwestern Ontario, Canada. The test environments included Chatham (42°23’58.5”N 82°07′17.1”W) and Palmyra (42°25′50.1″N 81°45′06.9″W) in 2022 and Ridgetown (42°27′14.8″N 81°52′48.0″W) in 2023. A randomized complete block design (RCBD) with two replicates was used in each field-testing location, where each plot consisted of five rows, 4.2 m long, with a row spacing of 43 cm. A total of 500 seeds were planted in each plot to achieve a plant density of 54 seeds per square meter (m<sup>2</sup>). The middle three rows were machine harvested at maturity for estimating yield performance and measuring seed quality traits. Seed yield (SY), plant height (PH), days to maturity (DTM), seed weight (SW) and seed composition traits, which included the seed concentration of protein, oil and sucrose on a dry seed basis. The agronomic traits including maturity (DTM,days) and plant height (PH,cm) were scored in the field at maturity. Seed yield (SY, kg/ha) and seed weight (SW, g/100 seeds) were measured for each harvested plot along with seed moisture and adjusted to 13% moisture. Seed composition traits were determined based on subsampling the total harvested plots on a dry basis (0% seed moisture) and measured as an average of three technical replicate readings. The seed composition traits were measured as percentage of dry seed weight using a Perten DA 7250 SD near-infrared reflectance (NIR) analyzer (Perten Instruments Canada, Winnipeg, MB).Genotypic Data: RIL marker data accquired from genotyping by sequencing (GBS) based on PE150 (pair-ended) library prep via BfaI restriction enzyme digest used for GWAS analysis. a marker score of 0 represents homozygous OAC Bruton allele, 1 represents heterozygous and 2 represents exotic parent allele. SNP List: positional information of markers in the genotypic data set. PCA Data: Top 5 principal components (PCs) used to plot principal component analysis (PCA) plot.
DOI: 10.6084/m9.figshare.28233224.v1
title: Genome assembly and gene annotations of Vatica guangxiensis

description: Genome assembly and gene annotations of Vatica guangxiensis
DOI: 10.6084/m9.figshare.5129953.v1
title: Supplementary Material for: Die KINDEX-App - ein Instrument zur Erfassung und unmittelbaren Auswertung von psychosozialen Belastungen bei Schwangeren in der täglichen Praxis bei Gynäkologinnen, Hebammen und in Frauenkliniken

description: <b><i>Hintergrund:</i></b> Der Konstanzer Index (KINDEX) ist ein strukturiertes Interview, das entwickelt wurde, um bereits pränatal zuverlässig und umfassend Risiken für eine beeinträchtigte psychische Entwicklung des Kindes und der Mutter zu erfassen. Um eine unmittelbare automatisierte Auswertung zu ermöglichen, haben wir das Instrument in Form einer Tablet-gestützten Anwendung (KINDEX-App) weiterentwickelt, die die schwangere Frau eigenständig bedienen kann. <b><i>Methoden:</i></b> In dieser Studie kam die KINDEX-App in gynäkologischen Praxen und in Frauenkliniken bei insgesamt N = 956 schwangeren Frauen als Selbstbeurteilungsinstrument zum Einsatz. Zur Bestimmung der Validität des Instruments wurden Vergleiche der Prävalenzen der erhobenen psychosozialen Belastungen mit repräsentativen Studien vorgenommen und Cronbachs alpha wurde berechnet. Des Weiteren wurde die Akzeptanz des Instrumentes sowohl bei den schwangeren Frauen als auch bei Gynäkologinnen und Hebammen erhoben. <b><i>Ergebnisse:</i></b> Die Prävalenzzahlen aus unserer Erhebung entsprechen weitgehend anderen Befunden, die in vergleichbaren Kollektiven erhoben wurden, wodurch die externe Validität der App angenommen werden kann. Die Anzahl fehlender Werte war äußerst gering (&lt; 6%) und lässt den Schluss auf eine gute Akzeptanz zu. Die interne Konsistenz der App lag im akzeptablen Bereich (α = 0,68). <b><i>Schlussfolgerungen:</i></b> Die KINDEX-App ist ein praktikables und valides Screening-Instrument zur Erfassung psychosozialer Belastungsfaktoren bereits während der Schwangerschaft und bildet damit eine gute Basis für die Prävention und frühe Intervention, sodass eine gelingende Mutter-Kind-Bindung und eine gesunde kindliche Entwicklung gefördert werden können.
DOI: 10.6084/m9.figshare.7414250.v1
title: Additional file 1: of Integrated genome sizing (IGS) approach for the parallelization of whole genome analysis

description: Table S1. Chunk Distribution Across The Reference Genome (Human Assembly Version GRCh37). File consists of all annotated chunk regions mapped to some specific function. The number of chunks derived from each chromosome is represented. (XLSX 46 kb)
DOI: 10.17632/7vhwvrg855
title: LINF_170014500

description: Myb-like protein; Leishmania infantum (strain JPCM5)