cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5121292.v1
title: Supplementary Material for: Parameters Governing Invasive Disease Propensity of Non-M1 Serotype Group A Streptococci

description: Group A <i>Streptococcus</i> (GAS) causes rare but life-threatening syndromes of necrotizing fasciitis and toxic shock-like syndrome in humans. The GAS serotype M1T1 clone has globally disseminated, and mutations in the control of virulence regulatory sensor kinase (<i>covRS)</i> operon correlate with severe invasive disease. Here, a cohort of non-M1 GAS was screened to determine whether mutation in <i>covRS</i> triggers systemic dissemination in divergent M serotypes. A GAS disease model defining parameters governing invasive propensity of differing M types is proposed. The vast majority of GAS infection is benign. Nonetheless, many divergent M types possess limited capacity to cause invasive infection. M1T1 GAS readily switch to a <i>covRS</i> mutant form that is neutrophil resistant and frequently associated with systemic infection. Whilst non-M1 GAS are shown in this study to less frequently accumulate <i>covRS</i> mutations in vivo, such mutants are isolated from invasive infections and exhibit neutrophil resistance and enhanced virulence. The reduced capacity of non-M1 GAS to switch to the hypervirulent <i>covRS</i> mutant form provides an explanation for the comparatively less frequent isolation of non-M1 serotypes from invasive human infections.
DOI: 10.6084/m9.figshare.14721789.v1
title: Additional file 2 of Micro-CT imaging of Thiel-embalmed and iodine-stained human temporal bone for 3D modeling

description: Additional file 2: Additional Table 2. Detailed CNR calculation and pixel brightness values.
DOI: 10.6084/m9.figshare.28540934.v1
title: Supplementary Material for: Weight-loss plateau during lifestyle intervention predicts treatment response in patients with MASLD and obesity

description: Introduction: Whether the weight-loss plateau and its values differ in obesity with or without metabolic dysfunction-associated steatotic liver disease (MASLD) undergoing continuous lifestyle intervention remains unknown. We aimed to investigate this problem.
Methods: This prospective observational cohort study included 305 patients with obesity and MASLD and 103 matched individuals with non-MASLD from January 2015 to April 2023, with a 12-month follow-up to monitor weight changes. Liver biochemistry, liver fat content with MRI-PDFF, and liver stiffness measurement via 2D-SWE were assessed at baseline and after 12 months. A validated weight trajectory regression model was applied to estimate the weight loss plateau.
Results: Individuals with MASLD and non-MASLD presented a similar timing of the weight plateau at 6 months, but patients with MASLD experienced less weight loss and maintained their weight plateaus longer compared to those with non-MASLD. Among patients with MASLD, a greater total weight loss (TWL) at 6 months was associated with better treatment response in hepatic steatosis and injury (all P&lt;0.001). Further multivariate logistic analysis showed that the 6-month TWL was an independent predictor of subsequent improvements in hepatic steatosis (OR: 0.78, 95%CI: 0.72-0.84) and alanine aminotransferase levels (OR: 0.82, 95%CI: 0.76-0.90) at 12 months.
Conclusion: Patients with MASLD experienced gradual weight loss followed by a prolonged plateau, with the maximum reduction observed at 6 months. The degree of 6-month weight loss was a valuable prognostic factor for the 12-month hepatic treatment outcomes. Strategies to overcome this plateau are essential for improving long-term treatment efficacy in MASLD.
DOI: 10.17632/8624n5symc
title: OULAD-Comparative analysis-SS vs STEM courses

description: The current Python notebooks/scripts preprocess and train classifiers on OULAD dataset to compare prediction results on SS vs STEM Courses
An R script is available to analyse the collected results.
DOI: 10.17632/8bs7hb2wj2
title: An updated skin permeation database of compounds applied as aqueous solutions in in vitro

description: The database represented in this article is referred to by the review article entitled “Topical drug delivery: history, percutaneous absorption and product development” (MS Roberts et al., 2021) and also as a supplementary table for the article entitled "An updated dataset of human maximum skin fluxes and epidermal permeability coefficients for drugs, xenobiotics and other solutes applied as aqueous solutions" (HS Cheruvu et al., 2022). This database contains maximal flux (Jmax), and permeability coefficient (kp) values collated from In Vitro human skin Permeation Test (IVPT) reports published to date for various drugs, xenobiotics and other solutes applied to human epidermis from aqueous solutions. Also included are each solute’s physicochemical properties and the experimental conditions, such as temperature, skin thickness, and skin integrity, under which the data was generated. This database is limited to diluted or saturated aqueous solutions of solutes applied on human epidermal membranes or isolated stratum corneum in large volumes so that there was minimal change in the donor phase concentration. It can be used for establishing the The data may also be useful in developing new QSPRs that may aid in: (1) drug choice and (2) product design for both topical and transdermal delivery, as well as (3) characterising the potential skin exposure of hazardous substances.
DOI: 10.17632/9yyhtk77mb
title: Biomarkers of Response to Topical Crisaborole in Mild/Moderate Pediatric Atopic Dermatitis Patients From Minimally Invasive Tape Strip Transcriptome

description: Supplemental files for JAAD Research Letter: Biomarkers of Response to Topical Crisaborole in Mild/Moderate Pediatric Atopic Dermatitis Patients From Minimally Invasive Tape Strip Transcriptome. Fishbein et al. 2023
DOI: 10.18141/2558060
title: SOC Microstructural Property Estimator

description: This pre-trained ML model is a tool that uses basic compositional parameters for porous solid oxide cell (SOC) electrodes - the phase fractions and mean particle/pore diameters – as inputs and uses them to estimate additional electrochemical performance parameters: active (i.e., connected) TPB density, all tortuosity factors, and phase pair specific interfacial areas. The electrode is assumed to be composed of two solid phases and a pore phase. The property calculations are performed using neural network regression models trained on a large bank of synthetic electrode microstructural data that NETL has generated using the program DREAM3D (that bank is also hosted on EDX: https://edx.netl.doe.gov/dataset/soc-synthetic-microstructure-bank). This means the generated parameters are based on training from actual measured properties from 3D microstructures, not estimated from geometric simplifications. This tool was developed and is intended to replace percolation theory calculations in models that use hypothetical electrode properties. An example use case would be running SOC performance simulations across a parametric sweep of electrode designs (e.g., varying phase fractions and particle sizes) and assessing how it impacts the electrochemical performance of the SOC. Within the parameter space of the training data (statistics of that parameter space is provided in the readme file), this model achieves sub-5% mean absolute percent errors, an order of magnitude less error than percolation theory across the same parameter space. However, be aware that this tool was developed with parametric simulations in mind, and users are encouraged to assess accuracy for their own specific use case rather than taking accuracy metrics at face value. More info, including a usage guide, is in the included readme file. This tool should be cited with the DOI number provided.
DOI: 10.17632/sy5sxn5svj
title: Changes in lower limb alignment due to flexion and rotation – a 3D simulation of radiographic measurements

description: Raw Data + R-Code of the study "Changes in lower limb alignment due to flexion  and rotation – a 3D simulation of radiographic measurements"
DOI: 10.17632/2bn6y56cys
title: Cuban National Chemistry Contest 2024

description: This contribution compiles the problems, solutions and results of the Cuban National Chemistry Contest (CNQ) for high school students celebrated nationwide this year. This chemistry olympiad is a yearly competition that stimulates high school students to study chemical sciences during their bachelor's. It is sponsored by the Cuban Ministry of Education, the Cuban Society of Chemistry, the University of Havana and other institutions. Tenth-, eleventh- and twelfth-graders (15-18 years old, on average) are welcome to participate. It takes place in every province of the country at the Vocational High School for Exact Sciences (IPVCE). It is organized as a two-day competition in which the students try to solve two sets of theoretical or theoretical-practical problems elaborated by previous contestants and mentors. The problem sets have both common questions for two or three grades and individual questions. The highest scores are priced with gold, silver and bronze medals. Top winners 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. This year, the CNQ took place on February 19 and 20. The qualification of the exams was performed in Havana by a committee composed of selected students and mentors from the University of Havana. Herein, the problem sets of the Preparatory Problems booklet, the national exams and their solutions, and the results of the Cuban students in the national and international competitions of the previous year are provided in the official Spanish version and English translation.
DOI: 10.17632/kgnxyrgdzd
title: Data for: Single Molecular Magnet Behavior for a Copper(II)–Terbium(III) 15-metallacrown-5 complexe based on pyrazinohydroxamic acid
DOI: 10.17632/brxhfgxppj
title: An Integrated Modeling Approach for Estimating Monthly Global Rainfall Erosivity

description: Data used in the article.
DOI: 10.17632/v4999wccdv
title: Exploring the relationship between predicted negative energy balance and its biomarkers of Holstein cows in first-parity early lactation

description: The Pearson correlations values and their P-values between LRNEB (only in the CFD), LPNEB and the other 19 traits in the CFD and CPD datasets.
DOI: 10.17632/623h5y32zg
title: RSEI-PLS-SEM

description: A description of the relevant data on the ecological environment research of the Yuzhong mining area.
DOI: 10.17632/9dkbj9x7hf
title: Probing sensory readout via combined choice correlation measure and microstimulation perturbation;

description: (1) This file contains the dataset for each figure in "Probing sensory readout via combined choice correlation measure and microstimulation perturbation". (2) In each file corresponding to each figure contains all the raw data that can be used to reproduce the results in particular figures. Most files are stored via OriginPro2015 and can be opened through it(https://www.origin.com). (3) In addition, we also provide the raw responses for each single units recorded in MST,MT and VIP(rawDataBase). You can extract responses,sensory parameters and choices for each trial and reproduce the sensory/choice related correlation by methods in the paper or any other new proposed ones (by MATLAB). The demo in the file illustrates the details of the analysis.
DOI: 10.18141/2558915
title: SOC Microstructural Analyzer

description: This program was designed to analyze the 3-phase microstructure of the electrodes of a solid oxide fuel cell (SOFC) or electrolysis cell (SOEC), both referred to in combination as a solid oxide cell (SOC). It is agnostic to the exact system, so it could be repurposed to analyze any 3-phase microstructure. This tool directly analyzes segmented voxel-based data that has been segmented into phase IDs (1,2,3). The voxels will be analyzed directly for: - tortuosity factors - triple phase boundaries - 2-phase interfacial areas, using a meshed isosurface - mean diameters of each phase, using an inscribed sphere method - standard deviation of the diameters of each phase, from the same inscribed sphere data - connectivity information Comprehensive information is available in the readme file (within the zipped repository in Markdown language, and also available here as a rendered PDF). Please cite this page / DOI, as well as https://doi.org/10.1111/jace.14775, for usage.
DOI: 10.17632/7397w9h5tb
title: Sweet Pumpkin Disease Recognition Dataset

description: 1. The Sweet Pumpkin (scientific name: Cucurbita moschata) belongs to the Cucurbitaceae family. It is a type of fruiting vegetable and is also known as Sweet Gourd. The origin of the Sweet Pumpkin plant is in Central America or the northern part of South America. Apart from Cucurbita moschata, there are several other varieties of sweet pumpkins, such as Cucurbita mixta, C. pepo, C. maxima, C. alba, and C. moschata, each with different varieties and characteristics. Among them, C. moschata is most commonly seen in Bangladesh.
2. The shape of the Sweet Pumpkin is generally round and in a ripe state, its inner part has a bright orange color. It contains Vitamin A and beta-carotene. It is primarily used for cooking in various dishes and has a slightly sweet taste.
3. The Sweet Pumpkin is a well-known vegetable in our country. Not only is it visually appealing, but its benefits are also significant. Whether fried, cooked, mashed, or prepared in a curry, Sweet Pumpkin is used to make delicious halwa. If you're not fond of eating Sweet Pumpkin, you might be missing out on numerous health benefits.
4. The Sweet Pumpkin is rich in various nutrients, including Vitamin A, B-complex, C, and E, as well as potassium, magnesium, calcium, manganese, iron, zinc, phosphorus, copper, carotenoids, and other antioxidants. Additionally, the abundance of beta-carotene in this vegetable helps in the formation of cancer-fighting cells in our body.
5. Diseases in crops are a widespread problem in agricultural production, and they have an adverse impact on the quality and productivity of the crops. Due to non-biological environmental factors, Sweet Pumpkin diseases adversely affect the yield and quality of Sweet Pumpkin, causing significant economic losses to farmers. The traditional identification of crop diseases is often time-consuming, labor-intensive, ineffective, and subjective.
6. In recent times, computer vision has shown great promise in conducting the classification and identification tasks of this kind.
7. Five distinct kinds of Sweet Pumpkin diseases are shown in this large dataset, which can be used to develop machine vision-based techniques: Healthy Leaf, Downy Mildew Disease, Leaf Curl Disease, Mosaic Disease, and Red Beetle.
8. In this dataset, 1000 images of Sweet Pumpkin were initially collected from the field. Subsequently, to increase the quantity of data points, various image processing techniques were applied, such as shifting, flipping, zooming, shearing, brightness enhancement, and rotation, resulting in a total of 7000 augmented images derived from the original images.
DOI: 10.17632/ch9ktjym8k
title: Data for: Constraints to adopting soil fertility management practices in Malawi: a choice experiment approach

description: This data is based on a choice experiment survey conducted in the Zomba district of Malawi to understand constraints to the adoption of soil fertility management practices. The data also include farmer perceptions of climatic variability.
DOI: 10.17632/myywz68rsg
title: Effect of structured sports specific exercise regime on basketball players- A randomized controlled trial

description: Objective: The sports performance of a basketball player largely depends on his Agility, Power, Endurance and Coordination skills. The study has been designed to improve the basketball performance of players by using the sports specific exercise programme. Design: Two- group, pretest-posttest randomized controlled trial Setting: Sports premises of the school Methods: On the basis of inclusion criteria 38 male basketball players between the age group of 13 to 18 years will be selected. Players will be randomly distributed to two groups; group A (n=19), group B (n=19). Both Group A and Group B will continue with their routine basketball practice sessions during the intervention. In addition Group A will receive a 45 minute structured sports specific exercise programme every alternate day for 4 weeks. Shuttle run test, Zigzag test, Vertical jump test, 2.4 km run test and Induced tropia test will be assessed at baseline, 2nd week during intervention and 4th week at end of intervention. Paired t-test and independent t-test will be used to compare between- and within-group pre- and post values.
DOI: 10.6084/m9.figshare.12589447.v1
title: Metadata record for the manuscript: Breast cancer gene expression datasets do not reflect the disease at the population level

description: <b>Summary</b>This metadata record provides details of the data supporting the related manuscript: “Breast cancer gene expression datasets do not reflect the disease at the population level”. <br>The related study aimed to determine how representative publicly available tumor gene expression datasets are of clinical populations.<br>As the data are all publicly available in appropriate community repositories, no primary data is included with this metadata record. Instead, the attached spreadsheet lists the 70 publicly available datasets, along with their respective details, including the repositories in which they are stored and their accession numbers. The 70 datasets represent 16,130 breast carcinomas.<br><b>Data access</b><br>All of the gene expression datasets analysed in the study are already publicly available, and their accession numbers and original publication references are listed in the Supplementary Table included with this metadata record.<br>The 70 publicly available datasets were identified in the public domain when restricting the search to those studies representing a minimum of 50 breast cancer patients with primary tumours. <br><br>
DOI: 10.6084/m9.figshare.24054129.v1
title: QC report of RNA-Seq data

description: RNA-Seq QC data for Joni White's PhD thesis.
DOI: 10.17632/57bfj2z2kr
title: DIB - RT-qPCR dataset

description: RAW data (RT-qPCR) from "Data describing the experimental design and quality control of RNA-Seq of human adipose- derived stem cells undergoing early adipogenesis and osteogenesis"
DOI: 10.17632/89z7h5gnpw
title: Deep Learning for the Prediction of Uncorrected Refractive Error using OCT

description: To develope a deep learning model for predicting uncorrected refractive (spherical equivalent, SE) error and keratometry (K value) using posterior (retinal) optical coherence tomography (OCT) images of the macula and optic nerve head.

These materials are provided to help demonstrate and understand the concept of our research paper.
The materials include the lightweight versions of the developed deep learning models (for Keras) and the codes for implementation.
DOI: 10.17632/hm97dcmc7f
title: Carreon et al. Modeling the spatial distribution of dung beetle species with different nesting strategies and body sizes under climate change scenarios

description: Previous studies have used climate niche models (CNM) to predict shifts in the distribution of suitable habitats of dung beetles without considering whether the effects of climate change vary depending on their nesting strategy (telecoprids, paracoprids and endocoprids) and body size. In this study, we used CNM to estimate the future distribution of climatically suitable habitats for 15 of dung beetle species that differ in these features. We focused on the near-term climate change predictions (period 2041–2060) in the Americas, hypothesizing that climatically suitable will decrease for all species, but the magnitude of these negative effects will be greater for large-sized species than for small-sized ones. The resulting models are provided in a KMZ file "Climate Niche Models". For each species, we included a map whose pixels indicate a probability of occurrence under the current climate and four other maps indicating the probability of occurrence under four Shared Socio-economic Pathways (SSP). In all maps, Highly Suitable Habitats (HSH) are indicated in green, Moderate Suitable Habitats (MSH) in yellow and Unsuitable Habitats (UH) as empty area.
DOI: 10.17632/jmvrhp3d7h
title: Journal of Iran's Economic Essays; "Jostarhaye Eghtesadiye Iran; No. 16

description: Journal of Economic Essays; an Islamic approach (JEE) is an open-access double-blind peer-reviewed academic quarterly journal that publishes original research, written with an Islamic approach in various Economic areas including Islamic economics and finance, Iran's economy, Fiqh (Islamic jurisprudence) and economics, philosophy of economics, economic theory, ethics and business, Islamic banking, economic development, and social security institution in Islam. JEE especially welcomes comparative articles that study the western and Muslim scholars' viewpoints about important economic issues to find the best answer to theoretical and applied questions and also to explore their differences and similarities with the aim of bringing them closer to each other. This journal accepts analytical articles that reread Muslim scholars' ideas according to new approaches in economics, moral philosophy, Islamic banking and finance, social security, econometrics, and Islamic economic institutions. Therefore, it aims to serve the interests of a wide range of thoughtful and academic readers, economists, philosophers, theologians, banking and finance experts and others interested in the multidisciplinary study of economics and Islam (including Fiqh "Islamic jurisprudence"). We hope that this publication creates an atmosphere of constructive dialogue on different economic topics between national and international scholars by which it could have a role in the growth of Islamic economic thought in Iran. In addition, Islamic solutions to the economic problems of Iran and the world will be examined and analyzed, and they will be presented to the policy makers to help improve the Islamic economic system.

Major Topics

 The Journal publishes papers, including the following fields:

- Islamic economics and finance;

 - Iran's economy;

 - Fiqh (Islamic jurisprudence) and economics;

 - Philosophy of economics;

 - Economic theory;

 - Ethics;

- Islamic economic institutions

 - Islamic banking;

 - Economic development;