cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.9879275.v1
title: Genotype-guided antiplatelet therapy compared with conventional therapy for patients with acute coronary syndromes: a systematic review and meta-analysis

description: To evaluate whether genotype-guided antiplatelet therapy reduces the rates of cardiovascular events and bleeding events in patients with acute coronary syndrome (ACS). We systematically searched Pubmed, Embase and the Cochrane Central Register of Controlled Trials (CENTRAL) (searched in September 2018) for controlled studies evaluating genotype-guided antiplatelet therapy in ACS with percutaneous coronary intervention (PCI) or without PCI. The primary endpoint was a composite of death, myocardial infarction (MI), stroke, targeted vessel revascularization and/or major bleeding. A total of five studies involving 2900 patients were included. Compared with the conventional group, the genotype-guided group had a decreased risk of primary composite outcomes (RR= 0.54; 95% CI: 0.41–0.72; <i>I</i><sup>2</sup> = 30%), death (RR = 0.54; 95% CI: 0.32–0.94; <i>I</i><sup>2</sup> = 21%), MI (RR = 0.52; 95% CI: 0.31–0.88; <i>I</i><sup>2</sup> = 49%), targeted vessel revascularization (RR = 0.59; 95% CI: 0.35–0.98; <i>I</i><sup>2</sup> = 0%), but not for stroke (RR = 0.53; 95% CI: 0.22–1.24; <i>I</i><sup>2</sup> = 0%) and bleeding events (RR = 0.80; 95% CI: 0.51–1.25; <i>I</i><sup>2</sup> = 33%). Genotype-guided strategies could reduce the rates of cardiovascular events without increasing bleeding events compared with conventional treatment in ACS. Future multi<b>-</b>centre genotype-based randomized control trials are required to confirm these findings.
DOI: 10.6084/m9.figshare.23541204.v1
title: Supplementary Material for: A Dietary Pattern for High Estimated Total Fat Amount Is Associated with Enhanced Allergy Sensitization and Atopic Diseases among Singapore/Malaysia Young Chinese Adults

description: <b><i>Introduction:</i></b> Frequent dietary patterns for fast food diets are suggested to be a risk factor for atopic disease development. Excessive dietary fats in fast foods are postulated to promote low-grade chronic inflammation. However, no studies in Asia have yet to characterize the dietary pattern for high-fat foods with atopic diseases. Thus, this study aims to assess the association between dietary fats with the prevalence of atopic diseases in an allergic cohort. <b><i>Methods:</i></b> Through an investigator-administered questionnaire that follows the International Study of Asthma and Allergies in Childhood (ISAAC) protocol, we evaluated the eating habits, lifestyle behaviours, sociodemographics, and atopic symptoms, and history among 11,494 young Chinese adults in Singapore and Malaysia. A skin prick test (SPT) for common house dust mites was also conducted to determine the atopic (allergic) status. We identified 1,550 atopic dermatitis (AD), 1,301 allergic asthma (AS), and 3,757 allergic rhinitis (AR) atopic cases. We derived a novel dietary index, Diet Quality based on Total Fat Amount (DQTFA), to examine the association between eating patterns for estimated total fat amount with various atopic outcomes. <b><i>Results:</i></b> There was a preponderance of subjects having positive SPT reaction (69.0%) with the prevalence of AR being the highest (32.7%), then AD (13.5%), and AS (11.3%). Additionally, there is a significantly higher proportion of subjects with an atopy background and atopic diseases consume diets with a high estimated mean fat amount. The adherence to a dietary pattern of the higher estimated total fat amount was shown to be strongly associated with all atopic diseases and exhibited dose-dependent responses in the univariate analysis. These associations remained significant even with the adjustments for age, gender, body mass index, use of alcohol, sedentary lifestyles, and physical activity. A dietary pattern for high-fat amount is more strongly associated with AS (adjusted odds ratio [AOR]: 1.524; 95% confidence interval [CI]: 1.216–1.725; <i>p</i> &lt; 0.001) and AR (AOR: 1.294; 95% CI: 1.107–1.512; <i>p</i> &lt; 0.001) compared to AD (AOR: 1.278; 95% CI: 1.049–1.559; <i>p</i> &lt; 0.05). Finally, it was shown that having either one of the atopic comorbidities was strongly associated with a dietary pattern of high-fat amounts (AOR: 1.360; 95% CI: 1.161–1.594; <i>p</i> &lt; 0.001). <b><i>Conclusion:</i></b> Our findings altogether provide initial evidence that the dietary pattern of a diet high in fat amount is associated with an increased risk of atopy and atopic diseases in young Chinese adults in Singapore and Malaysia. Balancing the consumption of dietary fats and changing personal dietary habits by choosing foods of the lower fat amount may reduce the associated odds of atopic diseases.
DOI: 10.6084/m9.figshare.25145339.v1
title: Untitled Item

description: Data set
DOI: 10.6084/m9.figshare.3563085.v1
title: Appendix C. Performance of mixture t model in simulation study.

description: Performance of mixture t model in simulation study.
DOI: 10.17632/7g77npfpbg
title: Code to calculate and graph incremental cost-effectiveness ratios

description: User-friendly R code to 1) identify dominated and extended dominated options 2) calculate incremental cost-effectiveness ratios 3) draw a graph on the cost effectiveness plane
DOI: 10.17632/fgsj9msr8d
title: Excel Data S2 - KEGG Pathway Analysis Results

description: Excel Data S2 includes extensive KEGG pathway enrichment analysis results obtained from the metabolomic profiling of nasopharyngeal microbiota in COVID-19 patients compared to non-infected controls. This dataset captures significant pathway changes linked to various viral load conditions, offering essential insights into the metabolic reprogramming that takes place during SARS-CoV-2 infection. This information provides a biochemical framework for understanding how SARS-CoV-2 infection reshapes the metabolic landscape of the nasopharyngeal microbiome, potentially influencing host-microbe interactions and contributing to disease outcomes in COVID-19 patients.Retry
DOI: 10.6084/m9.figshare.20488272.v1
title: 边缘智能养老服务质量评估系统中的老年人信息披露意愿

description: 健康养老
DOI: 10.6084/m9.figshare.25951666.v1
title: <i>Supplement to:</i>Characteristics of sediments and regolith alterations in the Plio-Pleistocene succession, coastal cliff sections, St Vincent Basin, South Australia

description: Excellent exposures of Plio-Pleistocene non-marine sediments in sea-cliffs in the St Vincent Basin in South Australia provided an opportunity to review the stratigraphic succession, determine the composition of the sediments and distinguish depositional features from distinctive later regolith overprints. Early siliclastic fluvial and alluvial sedimentary environments were later replaced by an aeolian and pedogenic carbonate system which blanketed large areas of the landscape. Subsequent erosion triggered by falls in base-level generated weathering environments in which conspicuous bleaching/iron-mottling and alunite/halloysite alteration occurred in specific zones and at different times in response to outflow of local chemically distinct groundwaters.
DOI: 10.17632/g8srg5gwdx
title: SIMULATION THERMAL CONTROL PID MODELS

description: The data presented here describes the behavior and characteristics of a closed chamber thermal system, with the technical capabilities needed in applications such as incubation, cell culture, refrigeration, dehydration or dry air sterilization. The dataset was collected from a low cost designed apparatus, approaching real world applications by including ambient air infiltrations, pressure and heating losses in a plastic container. This data article includes furthermore plain text data from temperature and electrical current sensors, an image that illustrates the control model, schematics of electronic circuitry needed and a 3D representation of the actual device in PDF format. The raw data were measured in three different temperature ranges, using specific actuators for each stage, to be then simulated, analyzed or optimized using Matworks® software tools.
DOI: 10.6084/m9.figshare.19180613.v1
title: Supplementary Material for: Comparison of Mortality Prediction Scores in Intermediate-Care Patients with Liver Cirrhosis at a German university transplant Center; a prospective study

description: Background & Aims: Mortality prediction models help to extract and relate patient data upon admission to intensive or intermediate care units (ImCU). Considering technical and economic healthcare developments, re-evaluations of score performances are required to warrant their validity. This study validates and compares established scoring systems in cirrhotic ImCU-patients. Methods: APACHE II, SAPS 2 and 3, SOFA, MPMo II and III, MELD, CLIF-C ACLF, CLIF-C AD and ImCUSS were calculated in patients with cirrhosis (n=98) at ImCU-admission. Discrimination performances were evaluated by area-under-the-receiver-operating-characteristic-curves (AUROCs), calibration performances with calibration belt plots and their corresponding p-values. Results: Overall, SAPS 3 and CLIF-C ACLF have shown the best 90-day-mortality prediction outcomes with AUROCs of 0.825 and 0.783 along with calibration belt p-values of 0.128 and 0.061, respectively. In a subgroup analysis of patients with acute-on-chronic liver failure (ACLF), expanded SAPS 2, SOFA and SAPS 3 reached the best AUROCs, i.e., 0.760, 0.750 and 0.714, but none of the tested scores reached an acceptable calibration. Conclusion: 90-day-mortality risk prediction of the SAPS 3 and CLIF-C ACLF was accurrate in our cohort of patients with liver cirrhosis admitted to ImCU. A particular challenge remains the mortality prediction in patients with ACLF requiring ImCU-level care; here, further developments are needed to generate scores with acceptable predictive performances.
DOI: 10.17632/442yrpvsjn
title: Application of Landsat-8 OLI/TIRS and digital elevation model dataset in spatial modelling of land surface temperature

description: Landsat-8 OLI/TIRS satellite image of 14th March 2020, Path 185/Row 054 at UTM Zone 33, captured at 09:25 am local time by two sensors. OLI bands include: Bands 1 (Coastal aerosol), 3 (Green), 4 (Red), 5 (Near Infrared), 6 (Shortwave Infrared 1), 7 (Shortwave Infrared 2). TIRS band was – Band 10 (Thermal Infrared Sensor). These are radiometrically- and geometrically-corrected data products, including the application of ground control points and digital terrain model corrections. The OLI bands are sampled at 30m spatial resolution while the thermal band captures the land surface as 100m but provided as 30m resampled product by United States Geological Survey (USGS) so as to conform to the OLI bands. The SRTM DEM dataset was processed from raw C-band radar signals spaced at 1 arc-second intervals (30m).
DOI: 10.6084/m9.figshare.22122323.v1
title: SRL博士資料.xlsx

description: the data is about the phd holders online self-regulated learning skills.
DOI: 10.6084/m9.figshare.11920743.v2
title: Nutritional Information for DDCC and Fly Microbiome Diet Database

description: The files included in this upload are supplementary source files to the Fly Microbiome Diet Database and the Drosophila Dietary Composition Calculator.
DOI: 10.17632/8f63frhf32
title: Cuban National Chemistry Contest 2017

description: This contribution compiles the problems, solutions and results of the Cuban chemistry olympiad for high school students celebrated nationwide in 2017. The Cuban National Chemistry Contest (CNQ, Concurso Nacional de Química, official name in Spanish) is a yearly competition intended to stimulate high school students the study chemical sciences during their bachelor's. It is sponsored by the Cuban Ministry of Education (MINED, official acronym in Spanish). Tenth-, eleventh- and twelfth-graders (15-17 years old, on average) are welcome to participate. This event is preceded by the Municipal Contest at each high school and the Provincial Contest in every province of Cuba. Winners of the latter are invited to participate in the national event. This Cuban chemistry olympiad takes place at the Vocational High School for Exact Sciences (IPVCE, official acronym in Spanish) in every province. It is organized as a two-day event in February or March every year. During the competition, the students try to solve two sets of theoretical or theoretical-practical problems elaborated by previous olympics and mentors. The qualification of the exams is performed in Havana by a tribunal integrated by selected teachers from all over the country. The highest scores are priced with gold, silver and bronze medals. Top winners can choose any career in science and the university they like the most to continue their studies with no need for additional requisites. In addition, they are part of the national pre-selection and are invited to Havana for a short training period. After a final selection round, the national team for the international chemistry olympiads is formed. 
As a particularity of the 2017 national contest, the Faculty of Chemistry of the University of Havana designed the problems. In the current edition, there were two theoretical problem sets. The first-day exam was intended for all grades (common problem set) and had four problems. Problem 1 had a multiple-choice format and was about general chemical knowledge. Problem 2 analyzed the kinetic data of a nucleophilic bimolecular substitution. In Problem 3, the student had to find the composition of an inorganic mixture through stoichiometry calculations. The second-day exam consisted of an individual problem set for each grade. Tenth-graders explored the combustion of ribose in Problem 4, the reactions of sodium compounds in Problem 5, the Born-Haber cycle of sodium chloride in Problem 6 and identified a non-metal and its oxygenated compounds in Problem 7. Eleventh-graders found the hydrate form of sodium sulfate in Problem 8, calculated the acidity of rain in Problem 9 and explored chlorine production in Problem 10. Twelve-graders derivatized carboxylic acids in Problem 11, found the stereochemistry of epoxide and diol formation in Problem 12 and calculated the solubility product of electrolytes in Problem 13. Herein, the problem sets are provided in the official Spanish version and English translation.
DOI: 10.6084/m9.figshare.23524032.v2
title: Data of "Diverse stability responses of a sub-Antarctic invertebrate understorey community to experimental giant kelp removal"

description: We investigated the resistance, resilience, and recovery of a community subjected to experimental giant kelp removal in a sub-Antarctic ecosystem. We simulated pulsed kelp loss caused by destructive storms and monitored the macrobenthic invertebrate understorey for twelve months.
DOI: 10.6084/m9.figshare.26180761.v1
title: Primate GBP5 codon Prank alignment (for Le Corf et al. 2025)

description: Primate GBP5 codon Prank alignment (for Le Corf et al. 2025)
DOI: 10.6084/m9.figshare.4644367.v1
title: jp7b00068_SI_D_C2H6.zip

description: This is a collection of protocols of QC calculations for the paper "Impact of Edge Oxidation State on Red-Ox Barriers during Hydrocarbon Oxydehydrogenation over Carbon Nanotube Catalysts: a Theoretical Study" by Oleksiy V. Khavryuchenko & Benjamin Frank, denited as SI_D in the Supplement.<br>
DOI: 10.17632/gmv39p9zw9
title: RWLC-7 Data 2024

description: RWLC-7 Metal Organic Frameowrk Photophysical Data
DOI: 10.17632/jdy4fbxxyn
title: Data for: Monetary policy when demand matters

description: Dynare codes for "Monetary policy when demand matters"
DOI: 10.6084/m9.figshare.7801718.v3
title: Full Data for SCCOHT repo

description: Dataset for https://github.com/joshbiology/sccoht
DOI: 10.17632/5rr7mks5rz
title: Italian Ordinary Statute Regions Data: Debt & Swaps
DOI: 10.6084/m9.figshare.26160709.v1
title: Evidential Deep Learning for Interatomic Potential

description: Machine Learning Interatomic Potentials (MLIPs) are models that utilize machine learning techniques to fit interatomic potential functions, with training data derived from ab initio methods. Consequently, MLIPs can achieve ab initio potential function accuracy with significantly faster inference times and reduced computational resource consumption. However, the datasets required for training MLIPs at ab initio accuracy are inherently resource-intensive and cannot encompass all possible configurations. When MLIP models trained on these datasets are employed in molecular dynamics (MD) simulations, they may encounter out-of-distribution (OOD) data, leading to a collapse of the MD simulation. To mitigate this issue, active learning approaches can be employed, iteratively sampling OOD data to enrich the training database. Nonetheless, conventional methods often require substantial time or result in decreased MLIP model accuracy. We propose a novel uncertainty output method that effectively balances speed and accuracy, demonstrating excellent performance.The dataset is for the article "Evidential Deep Learning for Interatomic Potential", where the dataset "liquid_aimd.pt" was used as the OOD data in water dataset, the dataset "newliquid_shifted" was used as the ID data
DOI: 10.17632/bg2w9pd869
title: DMN functional remodeling centered on the CA1 region is a key neuroimaging biomarker of comorbid pain and depression among rats with low back pain that underwent spinal manipulation therapy

description: This database contains raw 3D MRI data and animal behavior videos.
DOI: 10.17632/k2y2r73t69
title: Enhancing higher-energy spectral resolution for electron particle simulations in air

description: In the presence of an electric field, electrons would theoretically accelerate asymptotically to relativistic energies. However, regular collisions with air molecules limit the increase in electron energy. The stochastic nature of collisions leaves a theoretical probability that an electron elude inelastic collisions thereby accumulating an atypically high energy. Such an electron, under specific criteria, could be called a “thermal” or “cold runaway”. Depending on the electric field, the runaway probability might be too low to be computationally observed without resorting to Monte Carlo importance sampling. This article provides a method for fixing the spectral energy resolution of electrons through the combined methodology of Russian roulette and probabilistic splitting in order to render the study of runaway mechanism amenable to electron swarm simulations in various plasma physics applications.
DOI: 10.6084/m9.figshare.19915129.v1
title: NURSING IN SPORTS ANKLE INJURY BASED ON THE FITNESS EXERCISE

description: ABSTRACT Introduction Ankle injury is an acute soft tissue pathology where the ankle ligaments are distended, lacerated, or ruptured due to violence during sport. This joint is also one of the most vulnerable in sports. After an injury, immediate and adequate care is significant in reducing pain and complication. Objective Statistically analyze the sports injuries of the ankle cases, determining the principal reasons for injury and outlining preventive measures. Methods A statistical investigation on the sports injuries of 275 Qiqihar higher education students was performed with questionnaires and teaching practice methods. The research was focused on the injured structures and the injury causes analysis. In parallel, corresponding proposals aimed at preventing these sports injuries were raised. Results Joint injuries and ankle sprains followed by hematomas represented the most significant proportion of ankle injuries. The reasons are lack of physical fitness, lack of awareness of self-protection, inadequate preparation in the sporting environment facilities, and performing tasks outside what the superior specified was specified. Conclusion Medical work needs to increase dissemination so that people realize the causes of sports injuries. At the same time, it helps people master the care measures before and after the injury. This reduces the incidence of sports injuries and reduces the occurrence of complications. Evidence level II; Therapeutic Studies - Investigating the results.
DOI: 10.6084/m9.figshare.7204838.v2
title: Supplementary data file from Modelling determinants of extinction across two Mesozoic hyperthermal events.

description: raw data file
DOI: 10.17632/nr49pfdc8y
title: Data of the vapor phase hydrogenation of levulinic acid over CuNi catalysts

description: This dataset is comprised by all the data obtained for each of the conducted experiments. In the folder called "Catalytic activity" there is an excel workbook called "Activity results" that contains the experimental data of the product distribution for all the samples and performed experiments and stability test. 

The folder called "Characterizations" have excel workbooks and origin files which contain the data obtained by XRD, carbon deposition (TPO), TPR, and acid sites (NH3-TPD). All these files contain the results obtained for each of the catalyst fresh, spent and reactivated samples.
DOI: 10.6084/m9.figshare.22249453.v1
title: Luecken multiome human bone marrow 2021 s4d8

description: Dataset published by Luecken et al. 2021 which contains data from human bone marrow measured through joint profiling of single-nucleus RNA and chromatin accessibility using the 10X Genomics Single Cell Multiome ATAC + Gene Expression Kit. <br> All files stored in this entry are from sample 4 donor 8. Additional sample are available upon request. File description <em>filtered_feature_bc_matrix.h5</em>: Filtered feature-barcode matrix containing only detected cell-associated barcodes. <em>raw_feature_bc_matrix.h5</em>: Unfiltered feature-barcode matrix containing every barcode from the list of barcode sequences with at least one read, including background and cell-associated barcodes. <em>s4d8_quality_control.h5ad</em>: Quality controlled cells-feature matrix (filtering low-quality cells, ambient RNA correction, doublet detection). <em>s4d8_normalization.h5ad</em>: Normalized cells-feature matrix (shifted logarithm, scran and pearson residuals normalization). <strong>Citation</strong> Luecken, M. D. <em>et al.</em> A sandbox for prediction and integration of DNA, RNA, and proteins in single cells. Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (2021). <strong>Original data link</strong> https://openproblems.bio/neurips_docs/data/dataset/ <br>
DOI: 10.17632/9v27h8fm63
title: ChengYu Urban Agglomeration Dataset

description: This dataset contains a shapefile and an excel document. The shapefile data includes the spatial data of ChengYu Urban Agglomeration and its attributes such as population, GDP, transportation, education, and public health. The excel document contains the traffic cost between cities for different modes of travel, such as expressway, high-speed railway, and general speed railway.
DOI: 10.17632/nr29ttcxfx
title: Data for: COSTE: Complexity-based OverSampling TEchnique to Alleviate the Class Imbalance Problem in Software Defect Prediction

description: the results of prediction models trained on oversampled datasets
DOI: 10.6084/m9.figshare.14171258.v1
title: Hylobius warreni mark recapture data

description: Mark-recapture data for a population estimate experiment on the Warren root collar weevil, <i>Hylobius warreni </i>(Coleoptera: Curculionidae). There are two tabs in this XLSX workbook.