cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/9tsvx6tt34
title: Comparative Transcriptomics of Basal Cell Salivary Adenoma and Adenocarcinoma Sustain Linear Neoplastic Evolution and Inter-Tumor Heterogeneity: Diagnostic and Biological Implications

description: RNA-seq expression data accompanying the manuscript detailing a comparative transcriptomics study of 25 salivary basal tumors, which includes 5 basal cell adenomas (BCAs) and 20 basal cell adenocarcinomas (BCACs), and eight metastatic basal cell carcinomas (BCCs) to salivary glands.
DOI: 10.17632/s3jyppp32t
title: Cricket ODI dataset

description: ODI matches innings dataset for four countries: Australia, England, India and Pakistan
DOI: 10.6084/m9.figshare.12248033.v2
title: Surgical and Immunohistochemical Outcomes of Scleral Reconstruction with Autogenic, Allogenic and Xenogenic Grafts: An Experimental Rabbit Model

description: <b>Purpose</b>: Choukroun’s platelet-rich fibrin (PRF), a second-generation platelet concentrate, has unique morphological and chemical features and may be considered as a scaffold for scleral reinforcement and regeneration. The purpose of this study was to compare the use of xenogenic human-derived amniotic membrane (HAM), allogenic sclera, and autogenic PRF in rabbit lamellar scleral defect model with respect to both anatomical and immunohistochemical improvement. <b>Methods</b>: A total of 45 adult New Zealand rabbits were randomized into five groups: normal control; without surgical procedure, negative control; scleral defect model (SDM), xenogenic HAM; SDM+HAM graft, allogenic sclera; SDM+allogenic sclera graft, autogenic PRF; SDM+autogenic PRF graft. Clinical findings, Hematoxylin&Eozin (HE), Masson Trichrome, Verhoeff Acid Fuchsin, Transforming Growth Factor β Receptor 1, Fibroblast Growth Factor, Bone Morphogenetic Protein 2, collagen type 1, aggrecan, and Matrix Metalloproteinase 2 were evaluated. <b>Results</b>: Ocular surface inflammation was significantly lower in normal control and autogenic PRF groups (<i>p</i> p = .02), was out of the scleral wound in 33.3% rabbits of xenogenic HAM group (<i>p</i> &gt; .05), all the grafts were at the normal location and viable in autogenic PRF group. The inflammation and vascularization in autogenic PRF group was significantly lower than negative control and xenogenic HAM groups in HE (<i>p</i> p p p &gt; .05). For immunohistochemistry, the closest values to normal control group were detected in autogenic PRF group for all immunomarkers. <b>Conclusion</b>: Autogenic PRF showed superior features via its excellent anatomical and chemical composition for scleral regeneration when compared to single-layered xenogenic HAM and allogenic sclera grafts.
DOI: 10.6084/m9.figshare.12814944.v1
title: FF_lrelu_ComplexEndToEnd_ComplexU

description: Thesis model files
DOI: 10.6084/m9.figshare.27299625.v1
title: N2O emission from a subtropical forest is dominantly regulated by soil denitrifiers under exogenous N enrichment and seasonal precipitation distribution change

description: This work was designed to explore the interactive effects of nitrogen deposition elevation and precipitation change on the emission of nitrous oxide (N2O) and the underlying regulation roles of soil nitrifying and denitrifying functional microbes.Four experimental treatments were set at the site: N addition, seasonal precipitation distribution change, interaction of N addition and precipitation change and control.<br>There are three aspects of the data: N2O emission fluxes, soil properties, and abundance of nitrifying functional genes (AOA amoA, AOB amoA, nxrB) and denitrifying functional genes (nirK, nosZ).
DOI: 10.6084/m9.figshare.28925300.v1
title: Supplementary Material for: Global burden of ischemic stroke in middle-aged workforce population, 1990-2021: systematic analysis of the Global Burden of Disease Study 2021

description: Background
Ischemic stroke remains a major cause of disability worldwide, especially impacting the middle-aged workforce (40-64 years). This study examines the global burden of ischemic stroke within this age group from 1990 to 2021, focusing on the attributable risk factors stratified by age, sex, and sociodemographic index (SDI).
Methods
Utilizing data from the Global Burden of Disease Study 2021 across 204 countries, the study employed the DisMod-MR 2.1 Bayesian meta-regression model to estimate the incidence, mortality, and disability-adjusted life years (DALYs) related to ischemic stroke. Data were analyzed by age, sex, and SDI categories to reveal variations over time and across regions. The study also assessed 88 risk factors, calculating population attributable fractions for DALYs.
Results
In 2021, the global age-standardized incidence, DALY, and mortality rates for ischemic stroke among the middle-aged workforce were 107.49, 736.94, and 17.06 per 100,000, respectively. High-middle SDI countries exhibited the highest incidence and DALY rates, whereas low-middle SDI countries had the highest mortality rate. High SDI countries reported the lowest rates overall. Men, particularly aged 55-64, faced higher rates compared to women. Eastern Europe recorded the highest regional rates, with Turkmenistan showing the highest incidence and DALY rates, and Afghanistan the highest mortality rate. The primary risk factors contributing to DALYs were high systolic blood pressure, high LDL cholesterol, and smoking. In low SDI regions, household air pollution also played a significant role.
Conclusion
Despite overall reductions in stroke burden, ischemic stroke remains a significant public health issue, especially in men and high-middle SDI regions. Effective control of major risk factors like high blood pressure, high LDL cholesterol, and smoking is crucial. Customized prevention programs based on regional and economic contexts are essential to address this persistent health challenge.
DOI: 10.6084/m9.figshare.6874778.v1
title: ProteomeTools - Prosit iRT - Data

description: data used for training of iRT model
DOI: 10.17632/xh49685myx
title: Tax treaty formation

description: Replication file for the paper on the application of machine learning to analyze tax treaty formation.
DOI: 10.17632/zc5j2zhtk9
title: Bibliometric Dataset (2002-2024) on Dark Triad, Dark Tetrad and Dark Personalities

description: This dataset is a bibliometric analysis of data on "Dark Triad", "Dark Tetrad" and "Dark Personalities". This compilation is divided into three separate datasets. The first dataset is named DarkPersonalities_Dataset, and it includes the bibliographic data of 978 articles, serving as an important resource for understanding the trends and trajectories in this research. The second dataset, DarkAnalysis_Images, presents visual outcomes of bibliometric analysis, offering insights into collaboration networks and thematic concentrations within this domain. The third dataset, DarkTables, provides detailed tables of bibliometric analysis results, facilitating deeper data exploration.
DOI: 10.6084/m9.figshare.27157614.v1
title: TPM data of Apis mellifera queen and worker.

description: Tpm matrix data of Apis mellifera queen and worker.
DOI: 10.6084/m9.figshare.4256624.v3
title: Critical current characterisation of SuperPower Advanced Pinning 2G HTS superconducting wire

description: Detailed measurements of the critical current of a commercial 2G HTS REBCO wire as a function of temperature, magnetic field, and field angle, performed at the Robinson Research Institute of Victoria University of Wellington.
DOI: 10.6084/m9.figshare.6508238.v4
title: R scripts documenting the statistical data analyses

description: R scripts documenting the statistical data analyses The provided R scripts contain all code that was used for the main analyses steps of the study, and facilitates the reproduction of results presented in tables and figures. The scripts are numbered and named according to the analyses steps and correspond to the .html reports provided as additional files with the journal article. <br><br> <b>Reference</b> <b>Ingham AC, Kielsen K, Cilieborg MS, Lund O, Holmes S, Aarestrup FM, Müller KG, and Pamp SJ. (2019) </b>Specific gut microbiome members are associated with distinct immune markers in pediatric allogeneic hematopoietic stem cell transplantation. Microbiome 7:131 https://doi.org/10.1186/s40168-019-0745-z <br>
DOI: 10.17632/fftm7vcfzs
title: Attention on visual disgust: comparison of intentional and unintentional gaze on disgusting images - Associated Data

description: Data associated with project "Attention on visual disgust: comparison of intentional and unintentional gaze on disgusting images" worked upon by Iveta Štolhoferová, Kateřina Freisingerová, Aleksandra Chomik, Daniel Frynta, Kristýna Sedláčková, & Eva Landová.

Dataset was obtained during two eye-tracking experiments investigating seemingly contradictory effects disgust-eliciting stimuli: While they been shown to capture attention, even when task-irrelevant, they were also shown to be visually avoided when alternative stimuli are available. In the first experiment, disgust-eliciting images served as distractors, while in the second, the same images were designated as targets. Additionally, four categories of disgust-eliciting stimuli—disgusting animals, diseases, spoiled food, and pollution—were compared to assess the generality of the observed effects. Using a sample of over 100 participants, we replicated the distracting effect of disgust-eliciting stimuli (longer Reaction Time) across all categories except spoiled food. However, no differences in involuntary visual attention (number of fixations on the distractor before finding the target, lentgh of fixation on the distractor before finding the target) were observed between disgust-eliciting and neutral stimuli, suggesting that the distraction effect may stem from enhanced semantic processing in cortical areas rather than automatic visual capture. In the aimed viewing experiment, participants thoroughly scanned disgusting stimuli rather than avoiding them, with distinct scanning patterns emerging for each stimulus category, although quantitative differences in the number of fixations, number of saccades, number of visited areas of interest, and maximal fixation length were relatively small.

The Excel file contains 5 sheets, two generated during eye-tracking experiment (ET) 1, two generated during ET 2, and one containing basic information about participants (anonymized).
DOI: 10.17632/zsph6gvccz
title: Multi-View Visible-Thermal images for Human Pose Estimation

description: This dataset consists of paired visible-thermal images recorded by a device containing a visible spectrum camera and a thermal vision sensor. In the scene, there are three devices, and they are synchronized, so the images are taken from these devices in a simultaneous way. 
The dataset is divided in train_val and test. Inside each folder, there are three subfolders: 00_15, 00_16 and 00_17. Each folder determines a device and contains the images from the subsequent device. Visible spectrum images have the termination "_rgb.png", while thermal images "_thermal.png". 
The index before the terminations indicates the timestamp when the images were recorded.
DOI: 10.6084/m9.figshare.12659339.v1
title: Merrill_et_al_2020_JGR

description: These are the tomography and earthquake relocation datasets from Merrill et al. (2020) currently in review at JGR: Solid Earth. The tomography, contained in velocitymodel.txt compiles all tomographic nodes in the Washington State / southern Vancouver Island region, with format:[latitude, longitude, depth, p-velocity, s-velocity, DWS]<br>The earthquake relocation file (PNSN.reloc) contains around 10,000 event hypocenters which were relocated using the velocity models presented in the manuscript. Output is directly from tomoDD without modification, see the hypoDD manual for a complete description of all variables.
DOI: 10.6084/m9.figshare.22591465.v1
title: REST_data

description: Datasets used in the REST manuscript, including raw tomograms, restored tomograms, and the trained model.
DOI: 10.6084/m9.figshare.5223583.v1
title: Indian Zoroastrian and Indian Hindu genotype data from Lopez et al. 17

description: Indian Zoroastrian and Indian Hindu genotype data in plink binary format from Lopez et al. 2017: The genetic legacy of Zoroastrianism in Iran and India: Insights into population structure, gene flow and selection.
DOI: 10.17632/2t674dxrz2
title: A Review of External and Internal Factors that Affect Sport Performance and Interventions

description: Research on sports performance shows that athletes’ performance is heavily determined by internal and external factors. Studies have shown that these factors can either have a negative or positive impact on sports performance depending on different factors. They are various interventions that an athlete can use to mitigate poor performance caused by external and internal factors. South Africa is amongst the most active countries in the world as far as sport and sports psychology is concerned, but literature that merges these two disciplines is scant. More research and reviews on this topic can play a vital role in sports and sports psychology in South Africa and the world at large. This paper summarises the current state of factors that affect sports performance and proposed interventions in efforts to supplement the scant body of sports psychology literature. Upon reviewing the literature, the conclusion was that South Africa needs more research and reviews on the topic of sports performance to improve athletes’ performance and the quality of sport in South Africa. Researchers should look into contextualizing the factors that affect sports performance in South Africa and provide relevant interventions taking our unique history, diversity, culture, social interaction, and other distinguishing factors into consideration.
DOI: 10.25452/figshare.plus.24988074.v1
title: Pathology Images of Scanners and Mobilephones (PLISM) - Original Whole Slide Images Dataset

description: The Pathology Images of Scanners and Mobilephones (PLISM) dataset was created for the evaluation of AI models’ robustness to domain shifts. PLISM is the first group-wised pathological image dataset that encompasses diverse tissue types stained under 13 H&E conditions, with multiple imaging media, including smartphones (7 scanners and 6 smartphones).The <b>PLISM-orginal</b> subset<b> </b>consists of 91 original WSIs before image registration. Color and texture in digital pathology images are affected by H&E stain conditions (e.g. Harris or Carrazi) and digitalization devices (e.g. slide scanners or smartphones), which cause inter-institutional domain shifts.The extension of each WSI file is <i>.svs</i>, .<i>ndpi</i>, or <i>.tiff</i>.See the other subsets of the PLISM dataset in the Collection at https://doi.org/10.25452/figshare.plus.c.6773925
DOI: 10.6084/m9.figshare.28171241.v1
title: Dataset S1.zip

description: This file is Dataset S1 in the supplementary information of the submitted manuscript to PNAS: 2024-27090 (Structure and evolution of Photosystem I in the early-branching cyanobacterium <i>Anthocerotibacter panamensis</i>).Dataset S1 (separate file). Phylogenetic trees and sequence alignments used for Figs. 6 and S16.
DOI: 10.6084/m9.figshare.28903799.v1
title: Data set for Reliability, Correlation, and Influencing Factors of the 1-Minute Sit-to-Stand, 3-Minute Chair Rise, and 3-Minute Walk Tests in Healthy Adults: A Cross-Sectional Study

description: This dataset was generated as part of the study titled <i>"Reliability, Correlation, and Influencing Factors of the 1-Minute Sit-to-Stand, 3-Minute Chair Rise, and 3-Minute Walk Tests in Healthy Adults: A Cross-Sectional Study."</i> It includes anonymized data on demographic characteristics, physiological measures, and performance outcomes from field exercise tests conducted on a sample of healthy adults. The dataset supports the analyses and findings reported in the manuscript.
DOI: 10.6084/m9.figshare.5259103.v2
title: Surveys

description: Curated dataset that is used by data carpentry organisation to teach R to scientists
DOI: 10.6084/m9.figshare.14273687.v1
title: EEG driver drowsiness dataset

description: The dataset contains EEG signals from 11 subjects with labels of alert and drowsy. It can be opened with Matlab. We extracted the data for our own research purpose from another public dataset:<br>Cao, Z., et al., Multi-channel EEG recordings during a sustained-attention driving task. Scientific data, 2019. 6(1): p. 1-8.<br>If you find the dataset useful, please give credits to their works. <br>The details on how the data were extracted are described in our paper:<br>"Jian Cui, Zirui Lan, Yisi Liu, Ruilin Li, Fan Li, Olga Sourina, Wolfgang Müller-Wittig, A Compact and Interpretable Convolutional Neural Network for Cross-Subject Driver Drowsiness Detection from Single-Channel EEG, Methods, 2021, ISSN 1046-2023, https://doi.org/10.1016/j.ymeth.2021.04.017."<br><br>The codes of the paper above are accessible from:<br>https://github.com/cuijiancorbin/A-Compact-and-Interpretable-Convolutional-Neural-Network-for-Single-Channel-EEG<br><br>The data file contains 3 variables and they are EEGsample, substate and subindex.<br>"EEGsample" contains 2022 EEG samples of size 20x384 from 11 subjects. Each sample is a 3s EEG data with 128Hz from 30 EEG channels."subindex" is an array of 2022x1. It contains the subject indexes from 1-11 corresponding to each EEG sample."substate" is an array of 2022x1. It contains the labels of the samples. 0 corresponds to the alert state and 1 correspond to the drowsy state.
DOI: 10.6084/m9.figshare.24302719.v1
title: Calibrated Data _Blockchain Plattforms' Governance Engagement

description: This is a calibrated QCA dataset based on 14 blockchain platforms. GEN_ENG indicates high generative governance engagement, EVA_ENG indicates high evaluative governance engagement, ACC indicates easy access to decision rights (thus ~ACC indicates relatively higher thresholds of access to decision rights), VISI indicates high process visibility, AUTO indicates protocol automation, INCEN1 indicates high incentives for developers and miners (thus, ~INCEN1 indicates low incentives for developers and miners), INCEN2 indicates high incentives for other stakeholders other than developers and miners (thus, ~INCEN2 indicates low incentives for other stakeholders).
DOI: 10.6084/m9.figshare.25407676.v2
title: The dataset for reproducing the study of CET

description: This is the dataset generated by our research. This includes training data, validation data, and average annual CET, Ts_all, and Ts_clr estimated by machine learning models. In addition, there are some auxiliary data, such as masks for sea and land, masks for the Tibet Plateau, soil types, and the ERA5 raw dataset used in Figures 1 and 3 of the paper.<br><br>Note: In this dataset, the word "CRE" in filenames actually means CET.Note: In this dataset, the word "CRE" in filenames actually means CET.<br>Note: In this dataset, the word "CRE" in filenames actually means CET.<br>Ts_all: all-sky surface tempearture<br>Ts_clr: hypothetical clear-sky surface tempeartureCET: Cloud Effect on earth's surface Tempeartue. CET = Ts_all - Ts_clr
DOI: 10.6084/m9.figshare.26509150.v7
title: <b>An ontology-based rare disease common data model harmonising international registries, FHIR, and Phenopackets</b>

description: Please see our GitHub repository here: https://github.com/BIH-CEI/rd-cdm/ Please see our RD CDM documentation here: https://rd-cdm.readthedocs.io/en/latest/index.html/ Attention: The RD CDM paper is currently under review (version 2.0.0.dev0). As soon as the paper is accepted, we will publish v2.0.0. For more information please see our ChangeLog: https://rd-cdm.readthedocs.io/en/latest/changelog.htmlWe introduce our RD CDM v2.0.0— a common data model specifically designed for rare diseases. This RD CDM simplifies the capture, storage, and exchange of complex clinical data, enabling researchers and healthcare providers to work with harmonized datasets across different institutions and countries. The RD CDM is based on the ERDRI-CDS, a common data set developed by the European Rare Disease Research Infrastructure (ERDRI) to support the collection of harmonized data for rare disease research. By extending the ERDRI-CDS with additional concepts and relationships, based on HL7 FHIR v4.0.1 and the GA4GH Phenopacket Schema v2.0, the RD CDM provides a comprehensive model for capturing detailed clinical information alongisde precise genetic data on rare diseases.Background:<br>Rare diseases (RDs), though individually rare, collectively impact over 260 million people worldwide, with over 17 million affected in Europe. These conditions, defined by their low prevalence of fewer than 5 in 10,000 individuals, are often genetically driven, with over 70% of cases suspected to have a genetic cause. Despite significant advances in medical research, RD patients still face lengthy diagnostic delays, often due to a lack of awareness in general healthcare settings and the rarity of RD-specific knowledge among clinicians. Misdiagnosis and underrepresentation in routine care further compound the challenges, leaving many patients without timely and accurate diagnoses.<br>Interoperability plays a critical role in addressing these challenges, ensuring the seamless exchange and interpretation of medical data through the use of internationally agreed standards. In the field of rare diseases, where data is often scarce and scattered, the importance of structured, standardized, and reusable medical records cannot be overstated. Interoperable data formats allow for more efficient research, better care coordination, and a clearer understanding of complex clinical cases. However, existing medical systems often fail to support the depth of phenotypic and genotypic data required for rare disease research and treatment, making interoperability a crucial enabler for improving outcomes in RD care.
DOI: 10.6084/m9.figshare.28830410.v1
title: Prediction of peak discharge

description: the original data for '<b>Prediction of peak discharge </b><b>from</b><b> earth-rock dam failures based on Bayesian Optimization XGBoost regression algorithm</b>'
DOI: 10.6084/m9.figshare.5005007.v1
title: Yale Coflow Burner Information and CAD Drawings

description: This set of files contains CAD drawings and other information for the Yale Coflow Burner, which is a specific burner for generating coflow nonpremixed flames that has been used extensively by researchers at Yale and other institutions. The goal of this fileset is to allow researchers around the world to construct burners that are all identical to the original one so that measured results can be directly compared. The burner is also designed to have well-defined boundary conditions so that the experimental results can also be simulated computationally. Several datasets measured in this burner have been adopted as canonical modeling targets by the International Sooting Flame Workshop. For more information, see the websites listed under “references”.
DOI: 10.6084/m9.figshare.6726176.v1
title: Annotation distribution of the three maps

description: Annotation distribution of the three maps