cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21358191.v2
title: Supplemental Material for Marla et al. 2023

description: Supplemental Figures S1–S8 Supplemental Tables S1–S7 NDVI phenotype data from two locations Manual seedling chilling tolerance phenotype data from two locations Hapmap genomic data for chilling tolerance loci
DOI: 10.17632/j739yc6cgc
title: urban forest

description: This data contain of:
1. Data of satellite imagery of PlanetScope of University of Brawijaya with 3m spatial resolution.
2. Data training and testing in CSV format
3. R Script of four different algorithms (XGBoost, Random Forest, Support Vector Machine, and Neural Networks)
The manuscript that using this dataset has been submitted to F1000 Research (https://f1000research.com/)
DOI: 10.17632/xssyph6f9s
title: Thermochronology data in Yabraishan-Beidashan region, Alxa,NW China

description: These are the data files for the manuscript: Zhao, H., Zhang, J., Qu, J.F., Zhang, B.H., Niu, P.F., Zhang, Y.P., Hui, J., Wang, Z.Y., and Jing, X.M. Intracontinental deformation and consolidation of the central segment of Central Asian Orogenic Belt: Styles, causes and mechanisms. (Submitted to Tectonics).
The data set include apatite fission track age data, zircon (U-Th)/He age data and apatite fission track length data from samples collected throughout the central Alxa region in western Inner Mongolia, China.
DOI: 10.17632/3ckh668kpm
title: ROLE OF LIFE SKILL EDUCATION IN MITIGATING THE CRISIS FACED BY PEOPLE OWING TO COVID-19 PANDEMIC

description: Abstract: Life Skills Education is an educational approach that prioritises the development of individual life skills, including but not limited to self-reflection, critical thinking, problem-solving, and interpersonal skills. According to the United Nations International Children's Education Fund (UNICEF), life skills-based education can be understood as a form of education that primarily focuses on fostering behaviour modification or behaviour development. The term "life skills" typically encompasses a set of psycho-social and interpersonal abilities that enable individuals to make well-informed decisions, engage in successful communication, and engage in critical thinking. Life skills refer to a set of powerful abilities that individuals possess, which allow them to effectively navigate and adapt to the various transformations and difficulties encountered during their lives. Enhancing life skills among students facilitates their ability to effectively navigate challenges and uncertainties, optimise potential possibilities, and resolve issues through collaborative and non-aggressive means. Currently, life skills education is recognised as a crucial non-pharmaceutical tool in the battle against COVID-19. Given the current circumstances, individuals are gradually adapting to the prevailing situation resulting from the pandemic by enhancing their fundamental life skills and knowledge. This process can be effectively facilitated by the implementation of a structured life skill education programme. The global community is currently experiencing a crisis characterised by widespread unemployment, diminished job security, heightened worry, and increased prevalence of mental disease. These challenges can be attributed to the ongoing COVID-19 pandemic. The present situation necessitates prompt and efficient responses from an education system that upholds social responsibility. However, there is a prevailing belief that life skills education serves as a means to bridge the divide between fundamental functioning and individual capacities. It enhances an individual's capacity to effectively address the requirements and challenges of contemporary society, facilitating the implementation of desirable behaviours in a practical manner. The provision of life skills training, achieved via the incorporation of life skills education, can assist individuals in overcoming various challenges encountered throughout their lives. This present discussion will centre on the aforementioned matter as presented in the article titled "The Role of Life Skill Education in Alleviating the Crisis Experienced by Individuals Due to the COVID-19 Pandemic."
DOI: 10.6084/m9.figshare.11406462.v1
title: Supplementary Material for: Novel Model Predicts Diabetic Nephropathy in Type 2 Diabetes

description: <b><i>Background:</i></b> Clinical indicators for accurately distinguishing diabetic nephropathy (DN) from non-diabetic renal disease in type 2 diabetes (T2D) are lacking. This study aimed to develop and validate a nomogram for predicting DN in T2D patients with kidney disease. <b><i>Methods:</i></b> A total of 302 consecutive patients with T2D who underwent renal biopsy at China-Japan Friendship Hospital between January 2014 and June 2019 were included in the study. The data were randomly split into a training set containing 70% of the patients (<i>n</i> = 214) and a validation set containing the remaining 30% of patients (<i>n</i> = 88). Multivariable logistic regression analyses were applied to develop a prediction nomogram incorporating the candidates selected in the least absolute shrinkage and selection operator regression model. Discrimination, calibration, and clinical usefulness of the prediction model were assessed using a concordance index (C-index), calibration plot, and decision curve analysis. Both internal and external validations were assessed. <b><i>Results:</i></b> A multivariable model that included gender, diabetes duration, diabetic retinopathy, hematuria, glycated hemoglobin A1c, anemia, blood pressure, urinary protein excretion, and estimated glomerular filtration rate was represented as the nomogram. The model demonstrated very good discrimination with a C-index of 0.934 (95% CI 0.904–0.964). The calibration plot diagram of predicted probabilities against observed DN rates indicated excellent concordance. The C-index value was 0.91 for internal validation and 0.875 for external validation. Decision curve analysis demonstrated that the novel nomogram was clinically useful. <b><i>Conclusion:</i></b> The novel model was very useful for predicting DN in patients with T2D and kidney disease, and thereby could be used by clinicians either in triage or as a replacement for biopsy.
DOI: 10.17632/398fjtr62m
title: IN2SIGHT_DES_UNIMIB_In vivo label-free tissue histology on chicken embryo_part1

description: This is the first part of the dataset contains the data used for the publication Conci, L. Sironi, E. Jacchetti, D. Panzeri, D. Inverso, R. Martinez-Vazquez, R. Osellame, M. Collini, G. Cerullo, G. Chirico, and M.T. Raimondi, “In vivo label-free tissue histology through a microstructured imaging window. ,” APL Bioeng. accepted november 2023. The detailed description of the contents can be found in the file "Dataset_chickenEmbyo.docx", readable with Word or equivalent. In brief, the dataset contains 6 folders, each with a set of data taken either on histological sections, stained with H&E, or in vivo in chicken Embryos with fluorescence optical microscopy, either confocal or two-photon excitation. The first two folders can be found here. The remaining 4 folders are in the second part of the dataset.
DOI: 10.17632/r5m42g6wz7
title: Brazilian-Auctions

description: Basic data to all auctions from 2001 to 2010
DOI: 10.6084/m9.figshare.25909780.v1
title: BNF data

description: Probing Biological Nitrogen Fixation in Legumes Using Raman Spectroscopy
DOI: 10.6084/m9.figshare.3187533.v1
title: Coburn_PONE-D-16-09747_rawdatasets.pdf

description: These are sets of raw data included in Coburn et al., Bloodstream-to-Eye Infections are Facilitated by Outer Blood-Retinal Barrier Dysfunction, submitted to PLoSOne in April 2016. Data sets are included in Figures 1 and 2 and Tables 1 and 2 (denoted on each data set).
DOI: 10.6084/m9.figshare.22116803.v1
title: Physiotherapy research

description: Data on the practice behaviours, interests and perception of musculoskeletal image interpretation among physiotherapy practitioners
DOI: 10.6084/m9.figshare.9955535.v1
title: Data Availability - Numerical Frequency Transfer Function Analysis of a Leaky Integrate-and-Fire Neuron

description: <pre>The data sets generated during and or analyzed in the article: Numerical Frequency Transfer Function Analysis of a Leaky Integrate-and-Fire Neuron</pre>
DOI: 10.6084/m9.figshare.716318.v2
title: Crime and Tree Canopy in Pittsburgh, PA

description: Tree canopy and crime in Pittsburgh, PA. Tree canopy data were from the 2010 Tree Canopy Assessment carried out by the University of Vermont Spatial Analysis Laboratory in collaboration with Tree Pittsburgh. Crime data was obtained from 2010 police reporting compiled by the Pittsburgh Neighborhood & Community Information System (PNCIS). Highland Park. Crime = 3%, White = 66%, Poverty = 9%, Tree Canopy = 49% Larimer. Crime = 13%, White = 9%, Poverty = 22%, Tree Canopy = 22%
DOI: 10.15468/dl.wn4k6y
title: Occurrence Download

description: A dataset containing 989 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Synanthedon formicaeformis (Esper, 1783)"
 ]
}

 The dataset includes 989 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009231-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/f42ftkch6g
title: Anti-apoptotic MCL-1 promotes long chain fatty acid oxidation through interaction with ACSL1

description: Source data for western blots, immunofluorescence imaging, bright field microscopy imaging, and transmission electron microscopy imaging.
DOI: 10.17632/7v2pgc4zxb
title: Dynamic dependence of futures basis between the Chinese and international grains markets-ECMODE

description: We try to investigate the time- and frequency-based dynamic linkages between the bases of the Chinese and global grain markets over the period 2012-2022. Leveraging the DCC-GARCH and the wavelet-vine copula models, we analyze the bases of corn and wheat which are two pivotal commodities in the global grain trade. Our results show that the volatility of bases is comparatively subdued relative to the volatility in futures prices and the dynamic linkages of bases between markets are moderate. We also find that a pronounced positive correlation emerges between the international bases of corn and wheat, whereas the dynamic linkage of the Chinese wheat base with international markets remains less pronounced. Furthermore, the depth and nature of these interdependent structures exhibit variations across different time scales. As China dominates as the premier grain importer globally, the insights from this study are important for refining global grain trading strategies and crafting adept risk management strategies, especially in the backdrop of unpredictable global grain price shifts triggered by external disturbances. We include the install software of R, the code, the data, and a Readme file explaining how to interpret and use the data in the folder.
DOI: 10.6084/m9.figshare.22248274.v2
title: C sinks and sources of mangroves

description: data for carbon sinks and sources in mangroves
DOI: 10.6084/m9.figshare.21821577.v1
title: Compensatory responses of vital rates attenuate impacts of competition on population growth and promote coexistence

description: Competition is among the most important factors regulating plant population and community dynamics, but we know little about how different vital rates respond to competition and jointly determine population growth and species coexistence. We conducted a field experiment and parameterized integral projection models to model the population growth of 14 herbaceous plant species in the absence and presence of neighbours across an elevation gradient (284 interspecific pairs). We found that suppressed individual growth and seedling establishment contributed the most to competition-induced declines in population growth, though vital rate contributions varied greatly between species and with elevation. In contrast, size-specific survival and flowering probability and seed production were frequently enhanced under competition (in 92% of species pairs). These compensatory responses of vital rates significantly reduced niche overlap and stabilized coexistence. Our study highlights the importance of demographic processes for regulating community dynamics, which has often been neglected by classic coexistence theories.
DOI: 10.6084/m9.figshare.5596897.v1
title: CT scan and full Stratigraphic Column

description: CT scan of Sacrum MWC 5627. Full stratigraphic column, which was too large to include in the manuscript.
DOI: 10.6084/m9.figshare.20438811.v1
title: Supplementary Material for: Risk scores for metabolic dysfunction-associated fatty liver disease in pediatric obesity

description: Introduction: Early non-invasive detection of incipient liver damage is crucial to prevent long-term adverse health outcomes. A variety of scores to assess liver status have been proposed, mostly for adult populations. Validation of non-invasive hepatic scores to identify children at risk of metabolic dysfunction-associated fatty liver disease (MAFLD) is a gap in research, particularly in youth with severe obesity considering pubertal stage and sex. Methods: In a well-characterized pediatric population aged 9 to 19 years (n=115) 19 published liver scores were analyzed. AUROC for determination of MAFLD as assessed by magnetic resonance imaging was calculated. Results: The pediatric indices PNFI, B-AST and M-APRI and several scores developed in adults significantly differed in children with MAFLD compared to children without, while some established indices did not. Only NAFLD-LFS and the model by Cao et al. showed acceptable predictive accuracy (AUROC &gt; 0.8) independently of pubertal stage and sex. When stratifying for pubertal stage and sex, the GSG-Index was superior in pubertal girls, and NAFLD-LFS performed best in pubertal boys. Conclusion: NAFLD-LFS and the model by Cao et al. were well suited to predict MAFLD in youth with severe obesity. In pubertal children, GSG-Index and NAFLD-LFS performed best in girls and boys, respectively.
DOI: 10.17632/kpjp3gnwbt
title: Mental Health Symptom Profiles Over Time: A Three-step Latent Transition Cognitive Diagnosis Modeling Analysis with Covariates

description: This data repository contains the companion data and R code files for Liang, de la Torre, Larimer, and Mun (2024). Mental health symptom profiles over time: A three-step latent transition cognitive diagnosis modeling analysis with covariates. In M. Stemmler, W. Wiedermann, & F. Huang (Eds.), Dependent data in social sciences research: Forms, issues, and methods of analysis (2nd ed.). New York: Springer.

Abstract 

Cognitive diagnostic modeling (CDM) is an item-level analysis that accounts for attribute co-occurrences when characterizing attributes and classifying individuals’ attribute profiles. Tan et al. (2023) provided an application for mental health symptom profiles. The current study extends Tan et al. (2023) to demonstrate how intervention and gender affect transition probabilities from one state to another in a three-step latent transition CDM. The sample used in this study consisted of 2,005 college students (34.5% men) who answered 40 items assessing four mental health symptoms (i.e., alcohol-related problems, anxiety, hostility, and depression) at baseline immediately before being randomly allocated to a brief alcohol intervention or control group (pre-test) and at a 12-month follow-up following the intervention (post-test). Participants in the intervention group received personalized feedback on their alcohol use and alcohol-related problems, along with descriptive drinking norms of peers and other personalized and general information aimed at motivating students to change. Results indicated that the selected models showed adequate fit and classification outcomes. Latent logistic regression analysis showed that the intervention helped improve participants’ anxiety and depression. Those in the intervention group were more likely to transition from having anxiety and depression attribute profiles at pre-test to not having them at post-test. In addition, male students were more likely to improve anxiety. Although the intervention was not associated with the transition probability from presence to absence for alcohol-related problems, it helped suppress the transition to having the attributes of alcohol-related problems (among men) and hostility (among women) at post-test. However, male students in the intervention were more likely to transition from absence to presence in their depression attribute profile state. The three-step latent transition CDM with covariates showcased in the current study may be an appealing analytical tool for examining and explaining change in mental health symptoms with informative covariates.
DOI: 10.17632/8zjzfvw2h6
title: FG-DVC model input and output files data_ Three mixture fraction approach for in-furnace solid fuel blend in tangential fired-coal power plant

description: The data consist input and output files for FUNCTIONAL GROUP – DEPOLYMERIZATION, VAPORIZATION AND CROSSLINKING (FG – DVC) MODEL, Non-premix combustion model, and Performance Guarantee Test (PGT) data conducted at SULTAN AZLAN SHAH COAL POWER PLANT, Perak, Malaysia.
DOI: 10.6084/m9.figshare.13060238.v1
title: Supplementary Material for: The Genetics Analysis of Molecular Pathogenesis for Alzheimer's Disease

description: <b><i>Introduction:</i></b> The molecular pathogenesis of Alzheimer’s disease (AD) is still not clear, and the relationship between gene expression profile for different brain regions has not been studied. <b><i>Objective:</i></b> Bioinformatic analysis at the genetic level has become the best way for the pathogenesis research of AD, which can analyze the abovementioned relationship. <b><i>Methods:</i></b> In this study, the datasets of AD were obtained from the Gene Expression Omnibus (GEO), and Qlucore Omics Explorer (QOE) software was used to screen differentially expressed genes of GSE36980 and GSE9770 and verify gene expression of GSE63060. The Gene Ontology (GO) function enrichment analysis of these selected genes was conducted by Database for Annotation, Visualization, and Integrated Discovery (DAVID), and then the gene/protein interaction network was established by STRING to find the related proteins. R language was used for drafting maps and plots. <b><i>Results:</i></b> There were 20 differentially expressed genes related to AD selected from GSE36980 (<i>p</i> = 6.2e<sup>−6</sup>, <i>q</i> = 2.9422e<sup>−4</sup>) and GSE9770 (<i>p</i> = 3.3e<sup>−4</sup>, <i>q</i> = 0.016606). Their expression levels of the AD group were lower than those in the control group and varied among different brain regions. Cellular morphogenesis and establishment or maintenance of cell polarity were enriched, and <i>LRRTM1</i> and <i>RASAL1</i> were identified by the integration network. Moreover, the analysis of GSE63060 verified the expression level of <i>LRRTM1</i> and <i>RASAL1</i> in Alzheimer’s patients, which was much lower than that in normal people aged &gt;65 years. <b><i>Conclusions:</i></b> The pathogenesis of AD at molecular levels may link to cell membrane structures and signal transduction; hence, a list of 20 genes, including <i>LRRTM1</i> and <i>RASAL1,</i>potentially are important for the discovery of treatment target or molecular marker of AD.
DOI: 10.6084/m9.figshare.25886437.v3
title: Non-invasive eye tracking and retinal view reconstruction in free swimming schooling fish - reconstruction and analyze

description: Demo data for tracking:<i>https://drive.google.com/file/d/1mF2jqTQG6ojuwV-hV819c6X8XPzzyIt5/view?usp=sharing</i>Instructions for running the demo: README.md
DOI: 10.17632/3cbdv7w5xz
title: Appropriate media for promoting health literacy about iodine to women of childbearing age in Borabue hospital: Survey data

description: This cross sectional survey research  aims  to  survey  an  appropriate  type  of  health  literacy  media  for  promoting  the  good  health  literacy  level  in  child-bearing  age  women,  to  determine  perception  about  iodine  benefit  and  meaning  of  healthy  child  and  to  test  relationship  between  educational  level  and  iodine  knowledge  include  the  meaning  of  healthy  child  of  child-bearing  age  women.  The result  found  58  women  15-45  years  old  with  mean  age  31  years  (SD = 7.4).  Most  educational  level  was  Bachelor’s  degree  or  higher (58.6%),  most  occupation  was  employee  (43.1%).  Type  of  medias  they  most  required  were  combine medias  (50%)  and  the  media  from  internet  (41.4%).  Perception  about  iodine  benefit  i.e.,  prevent  goiter  and  promote  mental   development  (43.1%),  some  participants  perceived  only  prevention  of  goiter  (37.9%)  and  only  small  portion  perceived  iodine  could  promote   normal  mental,  normal  growth  and  good  IQ  (6.9%, 6.9%  and  5.2%,  respectively). Perception  about  meaning  of  healthy  child  i.e.,  the  child  had complete body (44.8%),  normal  birth  weight  (20.7%),  normal  mental  development  (10.3%)  and  completed  recognized  only  13.8%.  Educational  level  not  correlated  with  iodine  knowledge  and  the  meaning  of  healthy  child  (p = 0.646,  0.606,  respectively).
DOI: 10.17632/pghcrv2883
title: N-terminus and C-terminus of Arabidopsis P4-ATPase AtALA1 facilitate the detoxification of the mycotoxin deoxynivalenol in wheat

description: AtALA1 homologous proteins of different plant orders