cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25130669.v1
title: NumericalStroopTMS.xlsx

description: In this project active or sham rTMS was applied while participants performed a numerical Stroop task. The first tab provides a read me to describe the variable in the following tab
DOI: 10.17632/3txktk43nz
title: Detailed results for "Vehicle scheduling for rental-with-driver services"

description: We report detailed computational results for the instances included in the paper "Vehicle scheduling for rental-with-driver services"
DOI: 10.17632/cr5xwpcyyk
title: Data for: Application of Machine Learning into organic Rankine cycle for prediction and optimization of thermal and exergy efficiency
DOI: 10.17632/gxmp4xr452
title: Beyond the Screen: The Relationships Between Online Activities and Eating Disorder Risk

description: This study explores the associations between online activities and Eating disorder risk. Seven types of online activities were investigated: the usage of calorie counting and fitness Apps, Dating Apps, social networking sites (SNS), engagement in online games, exposure to pro-ED content, cyberbullying victimization, and Mukbang. A sample of 404 participants (257 females, 147 males) aged 18-48 were recruited via a Chinese online survey platform.
DOI: 10.17632/3w8955hk5t
title: Leveraging Machine Learning to Analyze the Impact of Public Sentiment on the Stock Performance of Vietnamese Banks: An Integrative Analysis of Financial Metrics and Financial News Data

description: Research hypothesis:
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DOI: 10.17632/r7n83753gy
title: A randomised controlled trial of a case management approach to encourage participation in colorectal cancer screening for people with schizophrenia in psychiatric outpatient clinics (ACCESS)

description: Study protocol and statistical analysis plan for ACCESS (in Japanese and in English)
DOI: 10.6084/m9.figshare.20113001.v1
title: dataset_MUC.xlsx

description: Characteristis of variants found in MUC family genes in Amazonian Amerindians of Brazil
DOI: 10.17632/gmb7rp8zf8
title: Dataset for: Vanadium isotope fractionation in mantle rocks: constraints from peridotites and pyroxenites

description: The aim of this study is to constrain V isotope fractionation under different mantle processes such as mantle melting, melt-rock interaction, and metasomatism. We thus collect a series of well-studied mantle rocks from peridotite massifs and xenolith. These data include Table 1, the V isotopic composition of Whole-rock; Table 2, the V isotopic composition of mantle minerals; and Supplementary tables include detail chemical composition and modeling results.
DOI: 10.17632/h37ktpsdz4
title: Research data for the study titled Intelligent Modelling of the Real Dynamic Viscosity of Rubber Blends Using Parallel Computing

description: Modelling the flow properties of rubber blends makes it possible to predict their rheological behaviour during the processing and production of rubber-based products. As the non-linear nature of such complex processes complicates the creation of exact analytical models, it is appropriate to use artificial intelligence tools in their modelling. The present study was implemented to develop a highly efficient artificial neural network model optimised using a novel training algorithm with fast parallel computing to predict the results of rheological tests of rubber blends performed under different conditions. A series of 120 real dynamic viscosity-time curves, acquired by a rubber process analyser for styrene-butadiene rubber blends with varying carbon black contents vulcanised at different temperatures, were analysed using a Generalised Regression Neural Network. The optimisation of the model was done by limiting the fitting error of the training dataset to a pre-specified value of less than 1%. All repeated calculations were done via the technique of parallel computing with the use of multiple computer cores, which significantly reduces the total computation time. An excellent agreement between the predicted and measured generalisation data with an error of less than 4.7% was found, confirming a high generalisation performance of the newly developed model.

The detailed examination of the data used in the study titled "Intelligent Modelling of the Real Dynamic Viscosity of Rubber Blends Using Parallel  Computing" is facilitated by the file START.m with the author's comments. The raw experimental data is in the Viscosity.xlsx file, which is stored in the RAWDATA directory. The data prepared for visualization is stored in the Data.mat file.
DOI: 10.17632/pynf9xd6r9
title: An 807-763 Ma Continental Arc Records Crust-Mantle Interaction in the Erguna Block during the Breakup of Rodinia

description: Data for "An 807-763 Ma Continental Arc Records Crust-Mantle Interaction in the Erguna Block during the Breakup of Rodinia" by Wang K et al.
This file includes Supplementary Tables S1 to S3 for the publication "An 807-763 Ma Continental Arc Records Crust-Mantle Interaction in the Erguna Block during the Breakup of Rodinia" (submitted to Journal of Geophysical Research: Solid Earth in Feb 2025).
Table S1. LA-ICPMS zircon U-Pb data of the Neoproterozoic mafic and granitic rocks from the Erguna Block.
Table S2. LA-MC-ICPMS zircon Hf isotopic data of the Neoproterozoic mafic and granitic rocks from the Erguna Block.
Table S3. Whole-rock compositions of representative Neoproterozoic mafic and granitic rocks from the Erguna Block.
DOI: 10.17632/cr3bs7kvhs
title: Causality between non‐alcoholic fatty liver disease and risk of cardiovascular disease and type 2 diabetes: A meta‐analysis with bias analysis

description: Results
DOI: 10.17632/wfn3yw6fn9
title: Data of method for radar coherent jamming based on SFT

description: the dataset contain the input signals,  the coherent jamming, and the output signal processed by different methods.
Note that, the readme.txt can help you to know how to use the data better.
DOI: 10.17632/zjhzbyzhdz
title: Dataset Business Innovativeness and Consumer's New Values Adoption

description: Data were collected within the quantitative research paradigm using self-administered questionnaire. Items were derived from four theories as the foundation of the research, namely: (1) Diffusion of Innovation Theory ; (2) Social Learning Theory ; (3) Self-identity Theory ; and (4) Consumer-Brand Relationship. Then, each item in the questionnaire was measured using 5-scaled Likert. All respondents were required to fill-up the questionnaire in Google Form within one-week. The total of 18 items were divided into three variables: (1) Loyalty (6 items) ; (2) Involvement (6 items) and (3) New values adoption (6 items). Next, all the respondents’ responses were transferred into excel and SPSS. Procedures for data normalization were performed using Factor Analysis. The results showed all data were normal as the followings: (1) Loyalty (KMO and Barlett’s test = 0.869 ; Initial Eigenvalues = 3.463 or 57% ; Correlation is significant at the 0.01 level ; Cronbach’s alpha = 0.850) ; (2) Involvement (KMO and Barlett’s test = 0.857 ; Initial Eigenvalues =3.913 or 65.22% ; Correlation is significant at the 0.01 level ; Cronbach’s alpha = 0.8910 ; and (3) New Vaues Adoption (KMO and Barlett’s test = 0.869 ; Intial Eigenvalues = 3.756 or 62.60% ; Correlation is significant at the 0.01 level ; Cronbach’s alpha = 0.880). Lastly, two statistical methods were employed, namely: (1) Hierarchical Regression Analysis ; and (2) One-Way ANOVA. Specifically, Hierarchical Regression Analysis was used to measure the contribution  of consumer's involvement  in the dynamic interactivity between business innovativeness and consumer's new values adoption. While, One-Way ANOVA was used to measure the contribution of consumer's demographic (gender and age range) and present values in consumer's involvement.
DOI: 10.17632/ct4mpzbx93
title: Code and data for Keynote 522 economic model

description: Economic evaluation of pembrolizumab for early triple negative breast cancer: 
R code for  choosing appropriate parametric survival function (choose_flexsurv.r)
R code for estimating hazards of progression  (Digitalizacion pembro.r)
R code for digitalization of observed Kaplan Meier  (Funcion_guyot_1.r)
CSV files containing coordinates of Kaplan Meier curves from the Keynote 522 study (N Engl J Med 2020;382:810-21.
DOI: 10.1056/NEJMoa1910549)
Markov Model comparing pembrolizumab to no pembrolizumab (modelo_v3.xlsm)
DOI: 10.17632/jj5b5pt679
title: LINF_170011400

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/ptnnk6r3jn
title: Supplementary Information: Efficacy and Safety of Microencapsulated Benzoyl Peroxide and Microencapsulated Tretinoin for the Treatment of Acne Vulgaris: Results from Two Phase 3 Double-Blind, Randomized, Vehicle-Controlled Studies 

description: This file provides all supplementary information (tables and figures) for the manuscript entitled, "Efficacy and Safety of Microencapsulated Benzoyl Peroxide and Microencapsulated Tretinoin for the Treatment of Acne Vulgaris: Results from Two Phase 3 Double-Blind, Randomized, Vehicle-Controlled Studies", published in the Journal of the American Academy of Dermatology.
DOI: 10.6084/m9.figshare.13649756.v1
title: Supplementary Material for: Baseline Characteristics of a National French E-Cohort of Hidradenitis Suppurativa in ComPaRe and Comparison with Other Large Hidradenitis Suppurativa Cohorts

description: <b><i>Background:</i></b> Hidradenitis suppurativa (HS) is a chronic inflammatory skin condition substantially impacting patients’ quality of life; the pathogenesis remains unclear, and treatment is complex and not yet standardized. Observational data are increasingly being used to evaluate therapeutics in “real-life” interventions, and the development of e-cohorts is offering new tools for epidemiological studies at the population level. <b><i>Objective:</i></b> The aim of this study was to describe the clinical characteristics and treatment history of HS participants in the Community of Patients for Research (ComPaRe) cohort and to compare these to other cohorts. <b><i>Methods:</i></b> We performed a cross-sectional study of the baseline data of HS participants in ComPaRe, an e-cohort of patients with chronic diseases. Data were collected using patient-reported questionnaires about clinical-dem­ographic aspects, quality of life, and treatment history. <b><i>Results:</i></b> A total of 396 participants (339 females, 57 males) were included (mean age 38 years); 83 (21%) had a family history of HS, 227 (57.3%) were current smokers, and 241 (60.9%) were overweight or obese. Most of the participants declared a Hurley stage II (<i>n</i> = 263, 66.4%) or III (<i>n</i> = 76, 20.3%). The breast was more frequently affected in women than men (37.5 vs. 5.3%, <i>p</i> &lt; 0.0001), whereas the dorsal region was more frequently affected in men (39.5 vs. 10.9%, <i>p</i> &lt; 0.0001). Increased disease stage was associated with obesity (25.9 vs. 33.8 vs. 51.3%, <i>p</i> = 0.02) and some HS localizations (genital [<i>p</i> &lt; 0.005], pubis [<i>p</i> &lt; 0.007], gluteal fold [<i>p</i> = 0.02], and groin [<i>p</i> &lt; 0.0001]). The most frequently prescribed treatments were oral antibiotics (<i>n</i> = 362, 91.4%), especially amoxicillin-clavulanic acid and cyclins. Less than 10% of participants received biologics. Most of these results were consistent with previously published cohorts. <b><i>Conclusion:</i></b> Recruitment of participants by such a web platform can be a faster way to get relevant scientific data for a wide variety of patients that could be used for epidemiological studies and to evaluate therapeutics in “real-life” interventions.
DOI: 10.17632/h8mcfz95bf
title: A dataset of circulating estradiol and progesterone, and fecal estradiol and progesterone metabolite concentrations of female felids

description: The data presented here are associated with the following articles: Andrews C.J., Thomas D.G., Welch M.V., Yapura J., Potter M.A. (2020). Monitoring ovarian function and detecting pregnancy in felids: a review. Theriogenology, In Press. DATA DESCRIPTION: Supplement 1 provides basal (anestrus or interestrus) and peak (estrus) estradiol and fecal estradiol metabolite concentrations reported for felid species in the existing peer-reviewed literature. The basal (non-luteal) and peak (diestrus) progesterone and fecal progesterone metabolite concentrations for each species are also summarized in Supplement 1. Supplement 2 contains the raw primary data used to calculate the values (secondary data) presented in Supplement 1. DATA COLLECTION: Peer-reviewed literature (published between January 1975 and February 2020) discussing the estradiol and progesterone, and fecal estradiol and progesterone metabolites concentrations of felids were reviewed. Searches were conducted for each felid species in both Web of Science and Google Scholar using the following search terms: ‘common name’ OR ‘other name’ OR ‘Genus species’ AND ‘serum OR plasma OR fecal OR faecal’ AND ‘estr* OR ovar* OR pregnan* OR gestat* OR luteal OR progest*’. For each publication and species, the mean and range of the basal and peak estradiol (pg/ml), fecal estradiol metabolite (ng/g), progesterone (ng/ml), and/or fecal progesterone metabolite (µg/g) concentrations were recorded. The overall (i.e., across all publications) weighted mean, sample size (both the number of animals and number of samples), and range of the basal and peak estradiol, fecal estradiol metabolite, progesterone, and/or fecal progesterone metabolite concentrations were calculated for each species.
DOI: 10.17632/krnbcxksn3
title: Backorder Prediction

description: The dataset contains historical data for inventory-active products from the previous 8 weeks of the week we would like to predict, captured as a photo of all inventory at the beginning of the week. Attributes SKU: Unique material identifier; INV: Current inventory level of material; TIM: Registered transit time; FOR-: Forecast sales for the next 3, 6, and 9 months; SAL-: Sales quantity for the prior 1, 3, 5, and 9 months; MIN: Minimum recommended amount in stock (MIN); OVRP: Parts overdue from source; SUP-: Supplier performance in last 1 and 2 semesters; OVRA: Amount of stock orders overdue (OVRA); RSK-: General risk flags associated to the material; BO: Product went on backorder. Evaluation Metrics We applied Area Under Receiver Operator Curve (AUROC) for primary evaluation, and Precision-Recall curves for post-analysis.
DOI: 10.17632/3wysmvzn2p
title: Dataset_SSA_MIM

description: Maternal and Infant service data for SSA
DOI: 10.17632/9kj3yv6367
title: Frequency and timing of multiple skin cancer development in five cohorts

description: Supplementary data for the article "Frequency and timing of multiple skin cancer development in five cohorts" appearing in the Journal of the American Academy of Dermatology
DOI: 10.17632/hp5286ccpz
title: Data for: The Effects of Conventional and Unconventional Monetary Policy on Forecasting the Yield Curve

description: U.S. Yield Curve Data
DOI: 10.6084/m9.figshare.5127133.v1
title: Supplementary Material for: Receptor Expression Discrepancy between Primary and Metastatic Breast Cancer Lesions

description: <b><i>Summary</i></b><b><i>Background: </i></b>Recent studies have shown that the expression status of hormone receptors and human epidermal growth factor receptor 2 (HER2) in breast cancer may change during disease progression. The aim of this study was to determine and compare the estrogen receptor (ER), progesterone receptor (PR), and HER2 expression status in primary breast cancer and metastatic lesions. <b><i>Methods: </i></b>58 patients with registered biopsy reports or available samples of the primary tumor and distant metastases were included in the final analysis. Biopsy samples were re-stained using immunohistochemical methods to determine receptor status (if not already recorded in previous reports) and re-examined by 2 independent pathologists. <b><i>Results: </i></b>Discordance rates for receptor expression status of the primary tumor and distant metastases for ER, PR, and HER2 were 17.4, 45.4, and 13.3%, respectively. No statistically significant difference in overall survival due to receptor expression discordance between the primary tumor and metastatic sites (p &gt; 0.05) was found, although a tendency toward worse survival time was observed in patients with HER2 expression discrepancies. <b><i>Conclusion: </i></b>This study showed receptor discordance rates between primary and metastatic breast cancer sites for ER, PR, and HER2 of 17.8, 45.4, and 13.3%, respectively. Re-biopsy and IHC evaluation of metastatic sites for receptor status may change treatment decisions in patients with relapsed/progressed BC.
DOI: 10.17632/9w2654dhhz
title: Fiscal decentralization in Poland: 2004-2019 municipal and city dataset

description: The dataset covers 2476-2479 Polish municipalities and cities (dependent on the year) over a period from 2004 when Poland joined the EU to the pre-COVID-19-pandemic 2019. The created 113 yearly panel variables include budgetary, electoral competitiveness, and European Union funded investment drive data. While the dataset has been created out of publicly available sources, their use requires advanced knowledge of budgetary data and their classification, as well as data gathering, merging, and clearing, which required many hours of work over a year.
DOI: 10.17632/kbcjcdynf5
title: Dataset used for geriatric CAP prognostic score comparison study

description: This dataset comprises anonymized clinical and laboratory data from 349 elderly patients (aged 65 years and older) diagnosed with community-acquired pneumonia (CAP) in the emergency department of a tertiary care hospital. The dataset was developed to evaluate and compare the prognostic performance of established clinical scoring systems (PSI and CURB-65) and inflammation/nutrition-based indices including the Glasgow Prognostic Score (GPS), Modified Glasgow Prognostic Score (mGPS), and the C-reactive protein to albumin ratio (CAR). Variables include demographic characteristics, comorbidities (e.g., dementia, neoplasm, COPD), vital signs, blood gas results, inflammatory markers, and clinical outcomes such as 30-day mortality and ICU admission.

This dataset supports the replication of statistical analyses including ROC curve comparisons, logistic regression modeling, and subgroup evaluations. It aims to assist researchers in validating and developing prognostic tools for geriatric patients presenting with infectious respiratory diseases in emergency settings.
DOI: 10.6084/m9.figshare.29096051.v1
title: Hydrographic data.xlsx

description: Annual tidal data along the estuary.
DOI: 10.17632/fyknfnb6vb
title: Data for: Effects of Conflict on Agriculture: Evidence from the Boko Haram Insurgency

description: The dataset is compiled from two main sources: (a) agriculture-related data were obtained from the General Household Survey (GHS) panel data conducted by National Bureau of Statistics, Nigeria and (b) the conflict data were compiled from Armed Conflict Location & Event Data (ACLED). The GHS survey was done as a part of the Living Standard Measurement Study (LSMS) integrated surveys. GHS collects information on various household, agriculture and community level variables in Nigeria based on a nationally representative sample. ACLED collects geo-coded information on armed conflict incidents in Africa and some countries in Asia. The dataset codes the non-state actors involved, date of incidents, interaction types, number of fatalities, and non-human damages. The dataset covers different types of violent and non-violent conflicts such as civil wars, remote violence against civilians, militia interaction, protests, riots, remote violence and non-violent transfer of territory
DOI: 10.17632/m92jhjw9jh
title: Data for: Enhancing CO2 Absorption for Post-Combustion Carbon Capture via Zinc-Based Biomimetic Catalysts in Industrially Relevant Amine Solutions

description: check CIF files for reported complexes
DOI: 10.17632/kgrjd9p7rg
title: Advanced image-identified extranodal extension of retropharyngeal lymph node in the refinement of N classification for nasopharyngeal carcinoma

description: About the anonymized data in this paper
DOI: 10.17632/tzkpd6x3rs
title: The Impact of Social Media on Mental Health: A Comprehensive Literature Review

description: The Impact of Social Media on Mental Health: A Comprehensive Literature Review
Research Hypothesis

Our research hypothesis is that excessive social media use is associated with negative mental health outcomes, particularly depression, anxiety, and sleep disturbances. This hypothesis is based on the growing body of literature suggesting a link between social media use and mental health issues, particularly among adolescents and young adults.
Data and Findings

This comprehensive literature review synthesized findings from numerous studies investigating the relationship between social media use and mental health. The data was gathered through a systematic search of major databases, including PubMed, PsycINFO, Scopus, and Web of Science. The search strategy employed a combination of keywords and Boolean operators to identify relevant studies, focusing on research published within the past 10 years.

The review revealed a complex and multifaceted relationship between social media use and mental health. While some studies suggested a positive association, the majority of research indicated a negative correlation, supporting our initial hypothesis.

Notable Findings:


• Increased risk of depression and anxiety: Multiple studies found a positive correlation between excessive social media use and depressive symptoms, including feelings of sadness, hopelessness, and low self-esteem. Similarly, social media use was linked to increased levels of anxiety, potentially due to social comparison, cyberbullying, and fear of missing out (FOMO).
• Sleep disturbances: Excessive social media use can disrupt sleep patterns, leading to insomnia, reduced sleep quality, and shortened sleep duration. Sleep deprivation can further exacerbate mental health issues, including depression and anxiety.
• Social isolation and loneliness: While social media platforms aim to connect individuals virtually, they can paradoxically contribute to increased feelings of loneliness and social isolation. Excessive social media use can lead to a decrease in face-to-face interactions, resulting in a sense of isolation.
• Cyberbullying: Social media platforms can facilitate cyberbullying, which can have severe psychological consequences, including increased anxiety, depression, and suicidal ideation.
• Body image concerns: Social media platforms often present idealized and unrealistic portrayals of physical appearance, which can contribute to body image concerns and dissatisfaction.
DOI: 10.17632/zvp3986f5b
title: A Systematic Mapping Study on Software Quality Control Techniques for Assessing Privacy

description: This repo contains the data used in a systematic mapping study on SQC techniques for detecting privacy-related anomalies in information systems throughout their development process. Please read the associated paper for a full understanding of this data.