cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16651819.v1
title: Supplementary Material for: Changes in PPAR-γ Expression Are Associated with microRNA Profiles during Fetal Programming due to Maternal Overweight and Obesity

description: <b><i>Background:</i></b> There has been a global increase in the prevalence of obesity in pregnant women in recent years. Animal studies have shown that intrauterine environment associated with maternal obesity leads to epigenetic changes. However, the effects of epigenetic changes occurring before birth in response to maternal conditions have not been clearly characterized in humans. <b><i>Objective:</i></b> The aim of the study was to analyze peroxisome proliferator-activated receptor (PPAR)-γ expression in cell cultures from newborns from mothers with overweight and obesity, in response to in vitro metabolic challenges and their relationship with microRNA profile and cytokine expression. <b><i>Methods/Study design:</i></b> The profile of circulating microRNAs from 72 mother-child pairs (including healthy infants born to normal weight [<i>n</i> = 35], overweight [<i>n</i> = 25], and obese [<i>n</i> = 12] mothers) was determined through real-time PCR, and the PPAR-γ expression in peripheral blood mononuclear cell cultures from offspring was analyzed after in vitro challenges. <b><i>Results:</i></b> miR-146a, miR-155, and miR-378a were upregulated in overweight mothers, while miR-378a was upregulated in obese mothers compared to normal weight mothers. In children from overweight mothers, miR-155 and miR-221 were downregulated and miR-146a was upregulated, while offspring of mothers with obesity showed downregulation of miR-155, miR-221, and miR-1301. These microRNAs have direct or indirect relation with PPAR-γ expression. In vitro exposure to high triglyceride and exposure to miR-378a induced a higher expression of PPAR-γ in cells from offspring of mothers with overweight and obesity. In contrast, cells from offspring of mothers with obesity cultured with high glucose concentrations showed PPAR-γ downregulation. IL-1ß, IL-6, and TNF-α expression in cells of offspring of overweight and obese mothers differed from that of offspring of normal weight mothers. Limitation of our study is the small sample size. <b><i>Conclusion:</i></b> The blood microRNA profile, and in vitro PPAR-γ and inflammatory cytokine expression in cells of newborn infants are associated with maternal obesity indicating that epigenetic marks may be established during intrauterine development. <b><i>Key Message:</i></b> Neonatal microRNA profile is associated with maternal weight. Neonatal microRNA profile is independent of maternal microRNA profile. PPAR-γ expression in newborn cell cultures is affected by maternal weight
DOI: 10.6084/m9.figshare.28760423.v3
title: High VH and Low VH

description: Regulatory factors of high and low villi ileum
DOI: 10.6084/m9.figshare.3516065.v1
title: Appendix A. Parameter values and results for snowshoe hare resource selection probability function (RSPF) and a linear model relating the intensity of snowshoe hare tracks with snowshoe hare RSPF.

description: Parameter values and results for snowshoe hare resource selection probability function (RSPF) and a linear model relating the intensity of snowshoe hare tracks with snowshoe hare RSPF.
DOI: 10.17632/2xd3tc5dr3
title: Basic information and high heat value of biomass raw materials

description: This dataset records the characteristic parameters of various biomass feedstocks and the composition and properties of their products at different pyrolysis temperatures. It covers a wide range of plant sources, such as walnut shells, soybean straw, rice husks, wheat straw, corn stalks, pine nut shells, and hazelnut shells. The dataset includes pyrolysis temperatures ranging from 200°C to 800°C, covering both low-temperature and high-temperature pyrolysis processes. The composition analysis provides the content of structural components (such as cellulose, hemicellulose, lignin, and ash), the percentage of elemental composition (carbon (C), hydrogen (H), oxygen (O), and nitrogen (N)), and the ratios of volatile matter and fixed carbon in the industrial analysis. Additionally, it includes the higher heating value (HHV) of the biochar to reflect its energy characteristics. The dataset features experimental data on purified components, facilitating comparative analysis, and includes various temperature gradients, making it suitable for studying the impact of pyrolysis temperature on biochar yield and properties. This dataset is not only applicable to machine learning models for predicting biochar yield or HHV but also useful for analyzing how input features (such as composition and temperature) affect the output. Its potential applications include biochar preparation optimization, energy conversion efficiency studies, and environmental material development.
DOI: 10.17632/gktp9y2sss
title: Supplementary file - Participants' quotations "Health system performance, mitigation, and imperative reform approaches in the Kurdistan Region of Iraq: a qualitative swot analysis from the stakeholder’s point of view"

description: This file contains quotations of key informants who participated in the study to solicit opinions on the existing health system in the Kurdistan Region of Iraq and identify the most imperative reform steps.
DOI: 10.17632/k5kp49hh9n
title: Data for: Integration in the European electricity market: a machine learning-based convergence analysis for the Central Western Europe region

description: Files collected from ENTSO-E dataset for each Central West Europe (CWE) bidding zone, The Netherlands, Belgium, France and Germany. These files have been consolidated into csv files stored along with the original source. The European electricity market is immersed in an integration process that requires a fundamental transformation. In this process, Flow-Based Market Coupling, which was employed for the first time in the Central Western Europe electricity market in 2015 as a means to manage cross-border capacity allocation, is a crucial cornerstone. These files have been used for analyzing this new Coupling Market.
DOI: 10.17632/nzk4swwsrg
title: HoloGen: An open-source toolbox for high-speed hologram generation

description: The rise of virtual and augmented reality systems has prompted an increase in interest in the fields of 2D and 3D computer-generated holography (CGH). The numerical processing required to generate a hologram is high and requires significant domain expertise. This has historically slowed the adoption of CGH in emerging fields.

In this paper we introduce HoloGen, an open-source Cuda C and C++ framework for computer-generated holography. HoloGen unites, for the first time, a wide array of existing hologram generation algorithms with state of the art performance while attempting to remain intuitive and easy to use. This is enabled by a IC# and Windows Presentation Framework (WPF) graphical user interface (GUI). A novel reflection based parameter hierarchy is used to ensure ease of modification. Extensive use of C++ templates based on the Standard Template Library (STL), compile time flexibility is preserved while maintaining runtime performance.

The current release of HoloGen unites implementations of well known generation algorithms including Gerchberg-Saxton (GS), Liu-Taghizadeh (LT), direct search (DS), simulated annealing (SA) and one-step phase-retrieval (OSPR) with less known specialist variants including weighted GS and Adaptive OSPR.

Benchmarking results are presented for several key algorithms. The software is freely available under an MIT license.
DOI: 10.17632/ty88d3fykj
title: ANIMAL experimentation

description: Articles on ANIMAL experimentation
DOI: 10.17632/295kykvckd
title: Raw data for Traditional knowledge of plants used by Tanhril and Reiek villagers in Mizoram, India.

description: This data sets consists of raw data used for quantitative analysis and visualization of traditional knowledge of plants used by Tanhril and Reiek villagers in Mizoram, India.
DOI: 10.17632/cvpyh24mhk
title: Moroccan Road Damages Dataset

description: The Moroccan Road Damages dataset is a meticulously collected and annotated collection comprising 77 images that capture various potholes on Moroccan roads. The primary objective of this dataset is to support the development and evaluation of computer vision models capable of accurately identifying potholes. These models can be implemented in mobile applications for real-time detection, significantly contributing to road maintenance and safety.

The images were gathered from diverse locations across Morocco, ensuring a comprehensive representation of different pothole conditions. This dataset is ideal for applications in infrastructure maintenance, urban planning, and smart city development.

The dataset is organized in the Data folder and is divided into three subsets:

Moroccan_Potholes_train: 54 images (70%)
Moroccan_Potholes_test: 15 images (20%)
Moroccan_Potholes_valid: 8 images (10%)
DOI: 10.17632/tr54dbcxzc
title: Questionnaire-Self control and hope

description: The questionnaire consists of the Self-Control Scale (SCS) and Herth Hope Scale (HHS) used for obtaining data from participants in Malaysian rehabilitation centers. The Self-Control Scale has six dimensions: impulsivity, simple tasks, risk seeking, physical activities, self-centeredness, and temper. The Herth Hope Scale has three dimensions: cognitive-temporal, affiliative-contextual, and affective-behavioral.
DOI: 10.6084/m9.figshare.5936881.v1
title: Data set for Auto-focusing

description: domain data part 1 &2 and channel data for "Multi-domain deep learning for single-frame rapid autofocusing in whole slide imaging".<br><br>Please note: The training data have a 4-pixel to 1-pixel binning pre-processing (pixel size is doubled). For testing data, please do binning first.
DOI: 10.60893/figshare.jcp.28585031.v1
title: Supplementary Material

description: Contains all supplemental material related to the manuscript.
DOI: 10.17632/ss9jz2nx8f
title: Bibliometric Data on Inclusive Education Literature from CNKI

description: Bibliometric Data on Inclusive Education Literature from CNKI. It can be used to study the research trends and trajectories of Chinese scholars in this field.
DOI: 10.17632/z8sg9yj4x3
title: Data on Medicinal Plants used to boost immunity in people living with HIV/AIDS in Uganda.

description: My data shows the use of various medicinal plant species by herbalists in treating people living with HIV/AIDS in Uganda. It shows the local names of the plants, which parts are used and how they are prepared and administered. The data show the use of 71 plant species from 37 families and 64 genera. This information was gathered through an ethnobotanical survey in Uganda. Ninety herbalists were interviewed across the country
DOI: 10.17632/22x2d75mmv
title: OUTSOURCING HR ACTIVITIES FOR ORGANIZATIONAL EFFICIENCY IN SELECTED FIRMS IN LAGOS, NIGERIA

description: A firm’s strategic outsourcing is a practice driven by inefficiencies in the HR department to free up valuable resources to focus on core areas of operations. This study examined firms’ strategic outsourcing decisions in payroll management, recruitment and training to achieve HR goals. Resource-based view (RBV) was adopted to explain the impact of HR outsourcing on competitive advantage. Descriptive statistics and multicollinearity with variance inflation factor (VIF) were used to find the accuracy of the data set. The hypotheses were evaluated with the use of Multiple Regression Analysis. Findings revealed that outsourcing payroll administration to achieve HR cost efficiency significantly enhances organizational efficiency (Beta = 0.684, P&lt;0.05), outsourcing recruitment activities for effective HR development significantly enhances organizational efficiency (Beta = 0.629, P&lt;0.05), and outsourcing training for effective HR flexibility significantly enhances organizational efficiency (Beta = 0.579, P&lt;0.05). The study concludes that outsourcing is an organizational culture that enables the achievement of HR cost efficiency, HR development and HR flexibility. It recommends that the company should continuously commit to outsourcing payroll functions to maintain confidentiality in remuneration, cut costs, have a competitive advantage and focus on the core business of the firm. The company should continuously outsource the recruitment process to sustain talent management and increase organizational efficiency and competitiveness among firms in the market. Outsourcing training services should be a priority for the firm to achieve progressive satisfaction with potential cost saving, competence and enhance knowledge and skills of workers to improve workers' capabilities and performance in the organizations.
DOI: 10.17632/6pfpvt78t9
title: Bad jobs versus good jobs: Does it matters for life and job satisfaction? Evidence from Ecuador

description: Data set (.dta) and code (.do) for Bad jobs versus good jobs: Does it matters for life and job satisfaction? Evidence from Ecuador
DOI: 10.17632/jd5jstp7p9
title: Data for: The Ordering of Historical Returns and the Cross-Section of Subsequent Returns

description: This file contains monthly long-short returns from decile portfolio sorts based on CRO_M and CRO_A. Portfolios are value-weighted and based on NYSE breakpoints.
DOI: 10.17632/xdrxhjkkjr
title: Excel calculation sheet for Amphibole from EPMA data (Li et al. 2020, Lithos)

description: Excel spreadsheet for calculating amphibole formula from EMPA data. Li, X., Zhang, C., Behrens, H., Holtz, F. (2020) Calculating amphibole formula from electron microprobe analysis data using a machine learning method based on principal components regression. Lithos, 362-363, 105469. https://doi.org/10.1016/j.lithos.2020.105469
DOI: 10.17632/8rnk4fggd8
title: The Hsp90 molecular chaperone governs client proteins by targeting intrinsically disordered regions.

description: Stress Granule Imaging for GF{-Ded1. GFP-Ngr1 and GFp-Dcp1
DOI: 10.17632/tbb2xhmw2z
title: Data for: Response of 3D woven composites under low velocity impact with different impactor geometries

description: This data is related to contact force-time of the specimens with various volume fractions impacted by different impactors.
DOI: 10.17632/v9hr6df8bk
title: Data sets of Northern Thailand’s sugarcane management

description: The data sets present the distribution center (DC) problem in sugarcane management in Northern Thailand. There are 3 components to a distribution network: sugar mills, DCs and growing fields. Each file of dataset consists of the distances between mills and DC, distances between DC and fields, demand of fields, capacity of DCs and capacity of mills. The large size problem is the sugarcane management problem of 10 provinces of Northern, Thailand. There are 71,656 growing areas, 75 DCs and 9 sugar mills. The distance between 2 nodes is represented in 0.01 km
DOI: 10.17632/z69m8xm843
title: High-definition spatial distribution maps of on-road transport exhaust emissions in Chile, 1990 - 2020

description: This dataset contains annual exhaust emission inventories of CO, VOC, NOx, MP2.5, CO2, CH4 and BC from on-road transportation in Chile, for the period 1990–2020. The data is presented as NetCDF4 files, in Gg/y per cell for each specie and year, gridded with a spatial resolution of 0.01° x 0.01° covering the domain 66°–75° W and 17°–56° S.
DOI: 10.6084/m9.figshare.23662548.v1
title: TA - Multiwires

description: Mat files with EMG signals recorded with an array of 16 intramuscular fine wires and edited motor unit pulse trains.
DOI: 10.17632/962fzmm7f7
title: High-order finite element method for atomic structure calculations

description: We introduce featom, an open source code that implements a high-order finite element solver for the radial Schrödinger, Dirac, and Kohn-Sham equations. The formulation accommodates various mesh types, such as uniform or exponential, and the convergence can be systematically controlled by increasing the number and/or polynomial order of the finite element basis functions. The Dirac equation is solved using a squared Hamiltonian approach to eliminate spurious states. To address the slow convergence of the κ = ±1 states due to divergent derivatives at the origin, we incorporate known asymptotic forms into the solutions. We achieve a high level of accuracy (10^-8 Hartree) for total energies and eigenvalues of heavy atoms such as uranium in both Schrödinger and Dirac Kohn-Sham solutions. We provide detailed convergence studies and computational parameters required to attain commonly required accuracies. Finally, we compare our results with known analytic results as well as the results of other methods. In particular, we calculate benchmark results for atomic numbers (Z) from 1 to 92, verifying current benchmarks. We demonstrate significant speedup compared to the state-of-the-art shooting solver dftatom. An efficient, modular Fortran 2008 implementation, is provided under an open source, permissive license, including examples and tests, wherein particular emphasis is placed on the independence (no global variables), reusability, and generality of the individual routines.
DOI: 10.17632/kfth5g2xk3
title: Pothole Mix

description: This dataset for the semantic segmentation of potholes and cracks on the road surface was assembled from 5 other datasets already publicly available, plus a very small addition of segmented images on our part. To speed up the labeling operations, we started working with depth cameras to try to automate, to some extent, this extremely time-consuming phase. 

The main dataset is composed of 4340 (image,mask) pairs at different resolutions divided into training/validation/test sets with a proportion of 3340/496/504 images equal to 77/11/12 percent. This is the dataset used in the SHREC2022 competition and it is the dataset that allowed us to train the neural networks for semantic segmentation capable of obtaining the nice images and videos that you have probably already seen.

Along the main dataset we also release a set of RGB-D videos consisting of 797 RGB clips and as many clips with their disparity maps, captured with the excellent OAK-D cameras we won for being finalists at the OpenCV AI Competition 2021. In an effort to achieve (semi-)automatic labeling for these clips, we postprocessed the disparity maps using classic CV algorithms and managed to obtain 359 binary mask clips. Obviously these masks are not perfect (they cannot be by definition, otherwise the problem of automatic road damage detection would not exist), but nonetheless we believe they are an excellent starting point to create, for example, new data augmentations (creating potholes on "intact road images" belonging to other standard road datasets) or to be used as textures in the creation of 3D scenes from which to extract large amounts of images/masks for the training of neural networks. You can have a preview of what you will find in these clips by watching this video showing the overlay of images and binary masks: http://deeplearning.ge.imati.cnr.it/genova-5G/video/pothole-mix-videos/pothole-mix-rgb-d-overlay-videos-concat.html

Please take a look at the readme file inside the main dataset zipfile to have some more details about the single sub-datasets and their sources.
DOI: 10.6084/m9.figshare.25514878.v2
title: 3OS ChemoGenes Supplementary Data

description: Research article title: Genomic alterations in chemotherapy genes detected in three model Thai adolescent patients with fatal osteosarcoma at Maharaj Nakorn Chiang Mai Hospital, Thailand.ABSTRACT OBJECTIVE: Osteosarcoma is the most common primary bone malignancy among adolescents and young adults, characterized by a high mortality rate, though it remains a relatively rare disease overall. The treatment protocols can be complex and challenging. We conducted a comparative genomic variation study to identify genes involved in the metabolism of chemotherapy drugs that are affected by various genomic alterations. METHODS: This study investigated the germline and tumor genomes of three primary osteosarcoma patients who responded poorly to chemotherapy, later developed lung metastases, and ultimately succumbed to the disease. Whole Genome Sequencing (WGS) data for both the germline and tumor genomes of these patients were analyzed to identify deleterious single nucleotide polymorphisms (SNPs), copy number variations (CNVs), and structural variations (SVs) in genes associated with chemotherapy and cancer. An analysis of protein association networks was performed on the affected genes of each patient to identify both common and unique biological processes associated with osteosarcoma. RESULTS: A few pathogenic mutations were identified exclusively in patients P1 and P3. P1 exhibited a missense mutation in the PIK3CD gene and a mutation in a splice donor site of the TP53 gene. P3 was affected by more deleterious mutations, namely, a stop-gain mutation in the MLH1 gene and a frameshift mutation in the REV3L gene. The tumor genome of patient P1 was extensively affected by copy number variations (CNVs), whereas the tumor genomes of patients P2 and P3 demonstrated fewer regions with CNVs. Structural variations were detected in all three tumor genomes and affected different key genes involved in platinum drug resistance and DNA repair. All identified mutated genes were also correlated with the clinical features of the patients. CONCLUSIONS: The genetic makeup of osteosarcoma is complex and varies from patient to patient, potentially affecting processes related to cell death or resistance to chemotherapy. Our investigations suggest that structural alterations, such as copy number variations (CNVs) and structural variations (SVs), in genes involved in chemotherapy metabolism and DNA repair mechanisms in tumor biopsies, could be useful for clinicians to design chemotherapy regimens suitable for different osteosarcoma (OS) patients.KEYWORDS: Osteosarcoma, Genome, Single Nucleotide Polymorphisms, Copy Number Variations, Structural variations, Chemotherapy<br>
DOI: 10.6084/m9.figshare.28243112.v1
title: Data set multi.xlsx

description: This data set was generated during a randomized controlled trial comparing cervical massage, membrane sweep and controls to determine efficacy, safety and maternal acceptability of each in using as an adjunct to prevent formal induction of labour.
DOI: 10.6084/m9.figshare.28608497.v2
title: Prevalence of Influenza A and B and Respiratory Syncytial Virus Infections Before and During COVID-19 Pandemic in the Pediatric Population in Lebanon-A Retrospective Study

description: Seasonal influenza and RSV outbreaks cause considerable morbidity and mortality in the pediatric population worldwide. The COVID-19 pandemic has changed virus epidemiology. Until today, it is still unclear how this pandemic affected the transmission of common respiratory viruses. The present study aimed at comparing the prevalence of RSV and influenza A/B infection before and after the COVID-19 pandemic in the Lebanese pediatric population.