cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14290078.v1
title: Analysis of body weight of adults by different indirect methods

description: Abstract Anthropometry is considered a widely applicable and effective method to track adiposity. Among the current methods of anthropometric analysis are the Body Mass Index (BMI) and the Waist Hip Index (ICQ) are utilized. However, both presents limitations because they fail to estimate the adiposity. In this sense, recently the Body Adiposity Index (IAC) emerged as an important tool in the adipose mass evaluation of large populations. Thus, the present study aimed to evaluate adults aged between 18 and 50 years through BMI, IAC and ICQ and to analyze the agreement degree between the methods. A total of 2602 individuals were analyzed, of which 1457 were women and 1145 men. After analyzing the data, it was verified that the majority of the population are within the standards of men was classified as not overweight only for ICQ and women for BMI and ICQ. In contrast the population of men is classified as healthy only for ICQ and women for BMI and ICQ. Concerning the agreement between the methods, only a positive and significant agreement between BMI and IAC was observed. Therefore, it can be concluded that IAC is an alternative for assessing body composition, showing a good method to estimate the percentage of total body fat of men and women, thus increasing the possibilities of diagnosis of obesity and overweight.
DOI: 10.6084/m9.figshare.14428160.v3
title: Diffuse fraction distributions 1901-2017 in support of carbon cycle modelling: Constant tropospheric aerosols, no stratospheric aerosols.

description: This diffuse fraction dataset offers 6-hourly distributions of the diffuse fraction of surface shortwave fluxes over the period 1901-2017. This is a companion dataset of doi:10.6084/m9.figshare.14423690, where time variations in tropospheric aerosols are ignored, and stratospheric aerosols are not accounted for. Radiative transfer calculations are based on monthly-averaged distributions of tropospheric aerosol optical depth, and 6-hourly distributions of cloud fraction. Methods follow those described in the Methods section of Mercado et al. (doi:10.1038/nature07949, 2009), but with updated input datasets.<br><br>The time series of speciated tropospheric aerosol optical depth is taken from the historical and RCP8.5 simulations by the HadGEM2-ES climate model (Bellouin et al., doi:10.1029/2011JD016074, 2011). To correct for biases in HadGEM2-ES, tropospheric aerosol optical depths are scaled over the whole period to match the global and monthly averages obtained over the period 2003-2017 by the CAMS Reanalysis of atmospheric composition (Inness et al., doi:10.5194/acp-19-3515-2019, 2019), which assimilates satellite retrievals of aerosol optical depth. Monthly distributions of sulfate and carbonaceous optical depth are then averaged over the 1901-1920 period, and those multi-annual monthly averages are used for the whole 1901-2017 period. The only interannual changes in tropospheric aerosols therefore come from mineral dust and seasalt.<br><br>Stratospheric aerosol optical depth is not accounted for in the radiative transfer calculations.<br><br>The time series of cloud fraction is obtained by scaling the 6-hourly distributions simulated in the Japanese Reanalysis (JRA; Kobayashi et al., doi:10.2151/jmsj.2015-001, 2015) to match the monthly-averaged cloud cover in the CRU TS v4.03 dataset (Harris et al. doi:10.1038/s41597-020-0453-3, 2020).<br><br>Surface radiative fluxes account for aerosol-radiation and aerosol-cloud interactions by tropospheric aerosols, except mineral dust which only exerts aerosol-radiation interactions. The radiative effects of aerosol-cloud interactions are assumed to scale with the radiative effects of aerosol-radiation interactions of tropospheric aerosols, using regional scaling factors derived from HadGEM2-ES.<br><br>Diffuse fraction is assumed to be 1 in cloudy sky. Atmospheric constituents other than aerosols and clouds are set to a constant standard mid-latitude summer atmosphere, but their variations do not affect the diffuse fraction of surface shortwave fluxes.
DOI: 10.6084/m9.figshare.6865163.v1
title: Computed HCTSA matrices for the UEA/UCR 2018 time-series classification tasks

description: Using the <i>hctsa</i> toolbox v0.97 (link in References below), we computed 7,500+ time-series features on each of the time-series classification tasks contained in the UEA/UCR Time Series Classification Repository. This repository provides the computed <i>hctsa</i> output files (.mat-files) for each classification task.<br>We used the computed feature matrices to select a small subset of 22 <i>hctsa</i> estimators (termed <i>catch22</i>) that were the most useful for the UEA/UCR datasets:C.H. Lubba, S.S. Sethi, P. Knaute, S.R. Schultz, B.D. Fulcher, N.S. Jones. <i>catch22</i>: CAnonical Time-series CHaracteristics. arXiv (2019). https://arxiv.org/abs/1901.10200<br><br>The matrices can be read in from Python as well using the Matlab_IO interface for which examples can be found in our selection pipeline for <i>catch22</i> ("op_importance" in References) and in the "hctsaAnalysisPython" GitHub repository.
DOI: 10.6084/m9.figshare.19500221.v2
title: patches and local annotations, slide 135, zoom 124x124 um2

description: patches and local annotations: data for slide with ID of the last 3 characters of the file name: local annotations in csv format and a folder with patches at zoom level indicated at the 6th character of the file name
DOI: 10.17632/66rz42682z
title: Dataset Political Instability and Sustainability Islamic Finance 

description: This study indicated that only the company's performance has a positively effect on Islamic banking sustainability. Then the company's performance is not a mediated and political instability is not a moderation variable. Data shows that political instability and inflation not affected toward Islamic banking sustainability.
DOI: 10.17632/bt6b5x4z8n
title: A spatial transcriptomic approach to understanding coronary atherosclerotic plaque stability

description: ABSTRACT

Background
Coronary atherosclerotic plaques susceptible to acute coronary syndrome (ACS) have traditionally been characterized by their surrounding cellular architecture. However, with the advent of intravascular imaging, novel mechanisms of coronary thrombosis have emerged, challenging our contemporary understanding of ACS. These intriguing findings underscore the necessity for a precise molecular definition of plaque stability. Considering this, our study aimed to investigate the vascular microenvironment in patients with stable and unstable plaques using spatial transcriptomics.
 
Methods
Autopsy-derived coronary arteries were preserved and categorized by plaque stability (N = 5 patients / group). We utilized the GeoMx digital spatial profiling platform and Whole Transcriptome Atlas to link crucial histologic morphology markers in coronary lesions with differential gene expression in specific regions of interest, thereby mapping the vascular transcriptome. This innovative approach allowed us to conduct cell morphologic and spatially resolved transcriptional profiling of atherosclerotic plaques while preserving crucial intercellular signaling pathways. 

Results
We observed intriguing spatial and cell-specific transcriptional patterns in stable and unstable atherosclerotic plaques, showcasing regional variations within the tunica intima and media. These regions exhibited differential expression of pro-inflammatory molecules (e.g., IFN-gamma, MHC Class II, pro-inflammatory cytokines) and pro-thrombotic signaling pathways. By employing lineage-tracing through spatial deconvolution of intimal CD68+ cells, we characterized unique, intraplaque subpopulations originating from endothelial, smooth muscle, and myeloid lineages with distinct regional locations associated with plaque instability. In addition, unique transcriptional signatures were observed in vascular smooth muscle and CD68+ cells among plaques exhibiting coronary calcification. 

Conclusion
Our study sheds light on the distinct cell-specific and regional transcriptional alterations present in unstable arterial plaques. Furthermore, we characterize the first spatially-resolved, in situ evidence supporting cellular transdifferentiation and intra-plaque plasticity as significant contributors to plaque instability in human coronary atherosclerosis. Our results provide a powerful resource for the identification of novel mediators of ACS, opening new avenues for preventative and therapeutic treatments.
DOI: 10.6084/m9.figshare.19678938.v2
title: Replication package for the ISSTA2023 paper: Virtual Reality (VR) Automated Testing in the Wild: a Case Study on Unity-Based VR Applications

description: The details about this package are explained in the Readme.md file.
DOI: 10.6084/m9.figshare.3394555.v2
title: An introduction to optimal power flow: Theory, formulation, and examples

description: The set of optimization problems in electric power systems engineering known collectively as Optimal Power Flow (OPF) is one of the most practically important and well-researched subfields of constrained nonlinear optimization. OPF has enjoyed a rich history of research, innovation, and publication since its debut five decades ago. Nevertheless, entry into OPF research is a daunting task for the uninitiated—both due to the sheer volume of literature and because OPF's ubiquity within the electric power systems community has led authors to assume a great deal of prior knowledge that readers unfamiliar with electric power systems may not possess. This article provides an introduction to OPF from an operations research perspective; it describes a complete and concise basis of knowledge for beginning OPF research. The discussion is tailored for the operations researcher who has experience with nonlinear optimization but little knowledge of electrical engineering. Topics covered include power systems modeling, the power flow equations, typical OPF formulations, and common OPF extensions.
DOI: 10.17632/nhfp5yd3jn
title: ImageMG

description: ImageMG: The Image Dataset with Religious Buildings from the State of Minas Gerais (Brazil) for Cultural Heritage Classification using Deep Learning. 

The ImageMG contains 6,449 images collected from 94 religious buildings in 19 historic towns from state of Minas Gerais (MG): Carmo do Cajuru, Conceição do Pará, Datas, Diamantina, Itabirito, Itapecerica, Itaúna, Lagoa Dourada, Mariana, Mateus Leme, Oliveira, Onça do Pitangui, Ouro Branco, Ouro Preto, Pitangui, São Brás do Suaçuí, São João del-Rei, Serro, and Tiradentes. 

The classes addressed (fronton, church, window, door, and tower) for the deep learning detection process reflect the characteristics of religious monuments built in Brazil during the 18th and 19th centuries in the Baroque and Rococo styles.

ImageMG represents an advancement compared to another recently presented dataset: 
 $ ImageOP - https://data.mendeley.com/datasets/hdz96zts8j/1 
ImageOP contains 1,613 images of 32 religious buildings from the Historic Town of Ouro Preto, considered the first Brazilian World Heritage Site by UNESCO. In this sense, ImageMG incorporates the images from ImageOP by adding 62 more buildings, 18 historic cities, and 5,036 images.

The ImageMG dataset was divided into three image subsets according to the experimental stage evaluated (train, validation, and test).
 # In the training stage (ImageMG-train), 4,344 images of 72 cultural heritage buildings from 15 historic towns were used. 
 # Additionally, in the validation phase (ImageMG-val), 836 images from two important Brazilian historic cities, Mariana and Pitangui, were adopted.
 # Finally, for the test experiments, 1,269 images of 13 religious buildings were collected. It is noteworthy that in the test phase, two cities from the state of Minas Gerais, significant for Brazilian Baroque, were selected: Diamantina and Serro. The Historic Centre of the Town of Diamantina is a World Heritage Site recognized by UNESCO. Moreover, the historic town of Serro is a relevant Brazilian architectural complex listed by the National Institute of Historical and Artistic Heritage. (Instituto do Patrimônio Histórico e Artístico Nacional – IPHAN) since 1938.
DOI: 10.6084/m9.figshare.15040659.v1
title: Data from: Seed size-number trade-offs are absent in the introduced range for three congeneric plant invaders

description: Data on mean individual seed mass and seed number of <i>Rumex conglomeratus</i>, <i>Rumex crispus</i>, and <i>Rumex obtusifolius</i> from both the native (United Kingdom) and introduced (New Zealand) ranges. Data were collected from natural populations in both ranges and from a common garden experiment in the introduced range. Seed size from the common gardens was compared with maternal seed size from field surveys to assess heritability. <br><br>Data include the mean individual seed mass and total seed number for both field surveys (Survey Seed Data.csv) and common gardens (Common Garden Seed Data.csv). Field survey data also include precipitation and minimum temperatures for each population as well as plant height for each individual. Metadata, which describes the content of each column in the datasets, can be found in Rumex Seed Data Metadata.csv.<br>These data are associated with the following manuscript:<br>Bufford, JL & Hulme, PE. 2021. Seed size-number trade-offs are absent in the introduced range for three congeneric plant invaders. <i>Journal of Ecology</i>. DOI: 10.1111/1365-2745.13761
DOI: 10.6084/m9.figshare.27919566.v1
title: Metabolites identified of widely-targeted metabolomics in Dendrobium catenatum

description: <i>Dendrobium catenatum</i> is an orchid herb used in traditional Chinese medicine with high pharmacological and nutritional value. <i>D. catenatum</i> obtained by simulated wild cultivation is highly favored due to its high quality. However, southern blight disease caused by<i> </i><i>Sclerotium delphinii</i> leads to devastating losses in simulated wild cultivation of <i>D. catenatum</i>. Previously, we showed that the core jasmonic acid (JA) signaling factor DcMYC2b positively regulates plant defense against southern blight disease. We found that the MYC2 mode of action in plant defense is species-specific, but the underlying regulatory mechanism of DcMYC2b is unclear. Here, a comprehensive analysis involving weighted gene coexpression network analysis (WGCNA), metabolomics, and transcription factor -centered yeast one-hybrid (TF-centered Y1H) assays was performed to elucidate the crosstalk between the core JA signaling and phenylpropanoid pathways, as well as the molecular mechanisms underlying the defense of <i>D. catenatum</i> against southern blight disease.
DOI: 10.6084/m9.figshare.7127726.v6
title: PPTC RNAseq and Genomic Alterations

description: Data deposited here have origins through the National Cancer Institute Pediatric Preclinical Testing Consortion (NCI PPTC) and Alex's Lemonade Stand.<br>The RNAseq data is an FPKM matrix of 250 samples measured across 51,968 genes.<br>The alterations matrix consist of deleterious DNA mutations, DNA copy number alterations, and fusions of varying functional confidence.<br>Gene expression classifiers are applied to the gene expression matrix and the results are interpreted in https://github.com/marislab/pdx-classification
DOI: 10.17632/zgctshcfyd
title: Social sustainability for cheese in Chile

description: Data for social sustainability in cheese
DOI: 10.6084/m9.figshare.20076464.v3
title: Comprehensive heart rate variability estimation in relation to sleep state architecture: a retrospective observational cohort study on Apple Watch heart rate data

description: This dataset accompanies the manuscript " <em>Comprehensive HRV estimation pipeline in Python using Neurokit2" </em>under review in MethodsX and released under https://doi.org/10.5281/zenodo.5736571. The presented method is an adaptation of NeuroKit2 to simplify and automate the computation of the various mathematical estimates of heart rate variability (HRV) or similar time series. <br> The dataset contains the Jupyter notebook and computed datasets resulting from the application of the method to an Apple Watch polysomnography dataset published elsewhere (see references). The methods are described for computation of 124 HRV measures including measures with a dynamic, time-series-specific optimal time delay-based complexity estimation with a user-definable time window length. <br> As part of the test application of the methodology, I present an approach to studying the dynamic relationships between sleep state architecture and multi-dimensional HRV metrics in 31 subjects. <br> I gratefully acknowledge the excellent support from the NeuroKit team.
DOI: 10.6084/m9.figshare.23741670.v1
title: Integrated forest and wildlife management - camera trap data

description: area.parameters.csv: active cameradays of all deployed camerascameradata.csv: all ungulate sightings of all surveys with REM parameters and social classrem_additional.csv: additional REM parameters for 3 survey areas: Kletschach, Wolschart, Lanzingarea_parameters.csv: feeding, baiting, hunting-ban areas, accessibility index, OSM roads, slope, sea level and days with snow cover<br>
DOI: 10.6084/m9.figshare.27160902.v1
title: Supplementary Dataset.xlsx

description: Tis file contains the data collected and compiled in this study "<b>Eco-innovation minimizes the carbon footprint of wine production</b><b>".</b>
DOI: 10.6084/m9.figshare.28001906.v1
title: Dataset Comparison of strabismus angle performed with synoptophore and prism cover test including the impact of convergence and BSV_12_2024_anonymized.xlsx

description: Abstract Purpose: The present study compared the angle of deviation performed with synoptophore and the prism cover test (PCT) in participants with manifest horizontal strabismus. A secondary aim was to establish whether there is a correlation between the near point of convergence and the angle of deviation and to analyze the relationship between binocular single vision and the size of the strabismus angle, as well as to explore how BSV varies with different types of strabismus. Methods: In a retrospective study, 108 participants with six different types of horizontal strabismus were identified. Participants with vertical deviations over 2 prism diopters (PD), nystagmus and amblyopia were excluded from the study. The angle of deviation was measured with the use of synoptophore and PCT at far. The correlation between the angle of deviation and the near point of convergence was evaluated. Results: Statistically significant differences were found (p&lt;0.05) between synoptophore and PCT measurements indicating an overestimation of strabismus angle measured with synoptophore in esotropia and the underestimation in exotropia. In addition, correlation between strabismus measurements and convergence was found. Conclusion: The synoptophore and prism cover test are reliable methods for quantifying strabismus, still, the differences can be found between the two methods. Convergence appears to affect these measurements. The difference in measurements between synoptophore and PCT may be deemed clinically relevant and therefore an individual patient approach in the management of these conditions is recommended. Larger strabismus angles were associated with weakened or absent BSV, and its condition depended on the type of strabismus.
DOI: 10.6084/m9.figshare.28937870.v1
title: Bylemans_et_al_2025_MEE.zip

description: 1. Environmental DNA (eDNA) analyses hold great potential for increasing species detection sensitivities and estimating species abundances. The rapidly growing userbase, continuous method development and optimisation have led to diverse approaches for capturing and analysing eDNA. While significant efforts have been made to standardize field and laboratory protocols, a notable gap remains in understanding the consequences of data pre-processing and statistical choices on the final results obtained, particularly in quantitative eDNA analyses. These insights are crucial for developing best-practice guidelines that can harmonize analytical workflows.2. To address this gap, we conducted an extensive literature review focussing on quantitative species-specific eDNA studies. We assessed the diversity of data pre-processing and statistical choices made to evaluate the correlation between eDNA concentrations and species’ abundance or biomass, and collected the raw datasets when available. We then applied commonly used data analysis strategies to the datasets to formulate general recommendations for improving the reliability and reproducibility of quantitative eDNA analyses.3. Our results indicate that, within the available literature, statistical methods are not always clearly described and raw data are rarely made publicly available. Furthermore, the choice of data pre-processing strategies and statistical tests used to assess quantitative correlations can significantly influence the likelihood of detecting positive correlations and the effect sizes.4. Overall, we recommend the following: (<i>i</i>) increase transparency in method descriptions and data availability. (<i>ii</i>) assess correlations using mixed-effect models that can account for data characteristics. (<i>iii</i>) avoid pre-processing quantitative eDNA data, especially when combined with sub-optimal statistical tests. Implementing these guidelines should enhance the accessibility and transparency of quantitative eDNA data, and ultimately their use for managers and policy makers.
DOI: 10.17632/djbznj6rvs
title: Data for: Investigation of pore structure and reservoir quality of Eocene beach-bar sandstones in Dongying Depression, Bohai Bay Basin, East China

description: Pore structure parameters from MICP tests and core routine analysis including helium porosity, air permeability and density.
DOI: 10.17632/txbsw7sd2p
title: Review of Financial Studies_1996-2021

description: All 1944 publications of The Review of Financial Studies from 1996 to 2021.
DOI: 10.6084/m9.figshare.11784792.v1
title: Additional file 5 of Genome-wide association study reveals that different pathways contribute to grain quality variation in sorghum (Sorghum bicolor)

description: Additional file 5: Table S3. Lists of amino acids, absolute and derived traits calculated from the sum of all amino acids and their biochemical interactions.
DOI: 10.6084/m9.figshare.12503510.v2
title: Impact of COVID-19 on the access to hearing health care services for children with cochlear implants: a survey of parents

description: Data was obtained from 24 participants in response to a questionnaire.parents of the CI child were asked to respond using likert scale
DOI: 10.6084/m9.figshare.13295540.v1
title: A Powerlaw-Based-Approach to Mapping COVID-19 Cases in the United States Dataset

description: This dataset contains the data used in "A Power-Law-Based Approach to Mapping COVID-19 Cases in the United States". By Bin Jiang and Chris de Rijke.<br>The input data about the COVID-19 cases is obtained from https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data - which is maintained by Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE).<br>The retrieved data used and obtained for this study are available in the "RawInputData" folder, where Daily and Weekly Cases are separated as well.<br>Shapefiles and administrative borders used for the figures and calculations are available in the "Figure2and4" folder. A combination of these shapefiles and the databaseis used to visualize the COVID-19 cases.<br>Processed powerlaw data can be found in the "Powerlawdata" folder in an excel file. All powerlaw results are available in a raw format.<br>Finally data used to create the time animation (http://lifegis.hig.se/COVID19/) is available in the folder "TimeAnimation" where a combination of an organized shapefiles and raw .csv data is used for the visualization.
DOI: 10.6084/m9.figshare.14140850.v1
title: Number of publications per human gene

description: Number of publications per human gene using gene2pubmed downloaded on January 4, 2021.