cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24173193
title: Supplementary Material for: Green tea polyphenols alleviate kidney injury induced by di(2-ethylhexyl) phthalate in mice

description: Background: Di(2-ethylhexyl) phthalate (DEHP) is a common plasticizer. Studies have revealed that DEHP exposure can cause kidney damage. Green tea is among the most popular beverages in China. Green tea polyphenols (GTPs) have been proven to have therapeutic effects on organ damage induced by heavy metal exposure. However, few studies have reported on GTP relieving DEHP-induced kidney damage. Methods: C57BL/6J male mice aged 6–8 weeks were treated with distilled water (control group), 1500 mg/kg/d DEHP + corn oil (model group), 1500 mg/kg/d DEHP + corn oil + 70 mg/kg GTP (treatment group), corn oil (oil group), and 70 mg/kg GTP (GTP group) by gavage for 8 weeks, respectively. The renal function of mice and renal tissue histopathology of each group were evaluated. The renal tissues of mice in the model, treatment, and control groups were analyzed using high-throughput sequencing. We calculated the differentially expressed miRNAs and mRNAs using the limma R package, the CIBERSORT algorithm was used to predict immune infiltration, the starBase database was used to screen the miRNA–mRNA regulatory axis, and immunohistochemical analyses were performed to verify protein expression. Results: GTP alleviated the deterioration of renal function, renal inflammation and fibrosis, and mitochondrial and endoplasmic reticulum lesions induced by DEHP in mice. Differential immune infiltrations of plasma, dendritic, T, and B cells were noted between the model and treatment groups. We found that three differentially expressed miRNAs (mmu-miR-383-5p, mmu-miR-152-3p, and mmu-miR-144-3p), three differentially expressed mRNAs (Ddit4, Dusp1, and Snx18), and three differentially expressed proteins (Ddit4, Dusp1, and Snx18) played crucial roles in the miRNA–mRNA–protein regulatory axes when GTPs mitigate DEHP-induced kidney damage in mice. Conclusion: GTP can alleviate DEHP-induced kidney damage and regulate immune cell infiltration. We screened four important miRNA–mRNA–protein regulatory axes of GTP mitigating DEHP-induced kidney damage in mice.
DOI: 10.6084/m9.figshare.24173193.v1
title: Supplementary Material for: Green tea polyphenols alleviate kidney injury induced by di(2-ethylhexyl) phthalate in mice

description: Background: Di(2-ethylhexyl) phthalate (DEHP) is a common plasticizer. Studies have revealed that DEHP exposure can cause kidney damage. Green tea is among the most popular beverages in China. Green tea polyphenols (GTPs) have been proven to have therapeutic effects on organ damage induced by heavy metal exposure. However, few studies have reported on GTP relieving DEHP-induced kidney damage. Methods: C57BL/6J male mice aged 6–8 weeks were treated with distilled water (control group), 1500 mg/kg/d DEHP + corn oil (model group), 1500 mg/kg/d DEHP + corn oil + 70 mg/kg GTP (treatment group), corn oil (oil group), and 70 mg/kg GTP (GTP group) by gavage for 8 weeks, respectively. The renal function of mice and renal tissue histopathology of each group were evaluated. The renal tissues of mice in the model, treatment, and control groups were analyzed using high-throughput sequencing. We calculated the differentially expressed miRNAs and mRNAs using the limma R package, the CIBERSORT algorithm was used to predict immune infiltration, the starBase database was used to screen the miRNA–mRNA regulatory axis, and immunohistochemical analyses were performed to verify protein expression. Results: GTP alleviated the deterioration of renal function, renal inflammation and fibrosis, and mitochondrial and endoplasmic reticulum lesions induced by DEHP in mice. Differential immune infiltrations of plasma, dendritic, T, and B cells were noted between the model and treatment groups. We found that three differentially expressed miRNAs (mmu-miR-383-5p, mmu-miR-152-3p, and mmu-miR-144-3p), three differentially expressed mRNAs (Ddit4, Dusp1, and Snx18), and three differentially expressed proteins (Ddit4, Dusp1, and Snx18) played crucial roles in the miRNA–mRNA–protein regulatory axes when GTPs mitigate DEHP-induced kidney damage in mice. Conclusion: GTP can alleviate DEHP-induced kidney damage and regulate immune cell infiltration. We screened four important miRNA–mRNA–protein regulatory axes of GTP mitigating DEHP-induced kidney damage in mice.
DOI: 10.6084/m9.figshare.24173163
title: Untitled Item

description: Cognitive functioning in older adults
DOI: 10.6084/m9.figshare.24173163.v1
title: Untitled Item

description: Cognitive functioning in older adults
DOI: 10.34740/kaggle/dsv/6509458
title: Contrastive Language Image Pretraining by openai
DOI: 10.5281/zenodo.7934614
title: Key Factors Determining the Formation of Sulfate Aerosols through Multiphase Chemistry – A Kinetic Modeling Study based on Beijing Conditions

description: We developed a kinetic model that reveals the key factors, including aerosol oxidants and atmospheric variables, that determine the multiphase formation of sulfate aerosols in the atmosphere. This dataset includes the output results discussed in an unpublished paper.
DOI: 10.5281/zenodo.7934615
title: Key Factors Determining the Formation of Sulfate Aerosols through Multiphase Chemistry – A Kinetic Modeling Study

description: Herein, we developed a kinetic model that reveals the key factors, including aerosol oxidants and atmospheric variables, that determine the multiphase formation of sulfate aerosols in the atmosphere. This dataset includes the output results discussed in an unpublished paper. The code uploaded describes the machine learning steps for some model outputs (in blue in the dataset).
DOI: 10.5281/zenodo.8365520
title: Key Factors Determining the Formation of Sulfate Aerosols through Multiphase Chemistry – A Kinetic Modeling Study based on Beijing Conditions

description: We developed a kinetic model that reveals the key factors, including aerosol oxidants and atmospheric variables, that determine the multiphase formation of sulfate aerosols in the atmosphere. This dataset includes the output results discussed in an unpublished paper.
DOI: 10.5281/zenodo.8365324
title: AIMHub input data

description: Input data for AIMHub. In order to allow other researchers to reproduce and use work done with AIMHub one needs to make sure that all components necessary to perform a run can be shared. One of these components is the input data. As proprietary data usually does not allow its free distribution it should generally be avoided. The password for zip file can be obtained from us and please reach us out.
DOI: 10.5281/zenodo.8365323
title: AIMHub input data

description: Input data for AIMHub. In order to allow other researchers to reproduce and use work done with AIMHub one needs to make sure that all components necessary to perform a run can be shared. One of these components is the input data. As proprietary data usually does not allow its free distribution it should generally be avoided. The password for zip file can be obtained from us and please reach us out.
DOI: 10.25781/kaust-8yl8a
title: WinSyn: Crops and Labels

description: WinSyn is large dataset of architectural windows. This repository contains pre-prepared zips with ~89k cropped photos (rendered at 512px or 1024px square) of windows taken by contractors with professional cameras around the world. It also contains labels for ~9k of these images (rendered at various sized between 128px and 2048px square). Additional details and metadata are available from https://github.com/twak/winsyn_metadata
DOI: 10.17632/wgjt7ryxw9.1
title: academic honesty

description: In this study, the TAPA method encouraged collaborative learning, fostering metacognitive skills and enhancing higher-order thinking, including problem-solving and critical thinking. Using TAPA with e-learning improved accessibility and engagement. Results showed significant gains in critical thinking and problem-solving for the experimental group. These findings have important implications for equipping students with essential skills for the rapidly evolving 21st-century landscape, emphasizing the value of innovative methods like TAPA within e-learning.
DOI: 10.17632/zbjgkcn8p2.1
title: Cross-border E-commerce: Spillover Effects of Knowledge Sharing in Virtual Communities

description: Between 15th December 2018 and 10th January 2019, participants who used the websites Xiaohongshu, Weibo, Zhihu, and Baidu Tieba were asked to complete a survey. There was a random bonus incentive ranging from 5 RMB to 10 RMB given after completing the questionnaire. Background information on the survey was provided and potential respondents were informed that their responses would be used only for research purposes. Respondents were instructed to complete the questionnaire only if they: (a) had prior CBEC purchase experience; and (b) had posted content about their CBEC shopping experiences in virtual communities. There were 521 usable responses, resulting in a 93.5% response rate.
DOI: 10.17632/hm7cd3t222.1
title: Deficiency of Sox7 Leads to Congenital Aortic Stenosis via Abnormal Valve Remodeling

description: Figure 1. Expression patterns of Sox7 in mammalian hearts.
Figure 2. The changes in cardiac function of  Nfatc1 Cre;Sox7fl/fl  mice.
Figure 3. Deficiency of Sox7 in endocardium leads to congenital aortic stenosis. 
Figure 4. The alteration of the proliferation and apoptosis level in the valve in Nfatc1 Cre;Sox7fl/fl mice. 
Figure 5. The underlying mechanism of congenital aortic stenosis caused by Sox7 deficiency in endocardium. 
Figure 6. Sox7 up-regulate MMP9 and has an effect on the proliferation and apoptosis of VICs. 
Figure 7. The changes of multiple genes in the proliferation and apoptosis of VICs and the expression levels of Sox7 protein in the human fetal aortic valve.
DOI: 10.17632/hrwrxk5nwt.1
title: Revisión Sistemática del Potencial del Cáñamo como Material Sostenible y Versátil en la Industria: Aplicaciones y Perspectivas Futuras

description: Investigación que consistió en la exploración del potencial del cáñamo industrial proveniente de la especie Cannabis sativa, por su bajo contenido de Tetra-hidro-cannabinol (THC) y alto nivel de Cannabidiol (CBD) que le confiere propiedades únicas en la manufactura y aplicaciones farmacéuticas.
DOI: 10.17632/pww7b2dmc8.1
title: Podmore et al original western blot dataset

description: Data contains original western blots associated with Podmore L et al. publication in press.
DOI: 10.17632/wdmgv34r9f.1
title: Estrés laboral y calidad de vida en enfermeros durante la pandemia por Covid19

description: los datos recolectados corresponden a un estudio analitico cuyo objetivo consiste en evaluar la asociación entre calidad de vida y estrés laboral en el personal de enfermería durante la pandemia por Covid19. Se reclutó una muestra de 125 participantes a través de un método de muestreo no probabilístico. Estos respondieron un cuestionario en línea sobre calidad de vida y nivel de estrés. Para el análisis se utilizaron estadísticas descriptivas y análisis de regresión lineal múltiple. Se obtuvo una correlación negativa entre calidad de vida y nivel de estrés ( r = -0,438, p < 0,01), así como ser enfermera profesional se relacionó con niveles más altos de estrés (B=7,569 p=0,020). Por otro lado, tener 31 años o más (B=4,081 P=0,033) y más de 12 meses de experiencia laboral se asociaron con un mayor puntaje de calidad de vida , mientras que ser mujer (B= -6,581,P=0,013), estar soltero, separado o viudo (B=-5,744, P=0,003) y puntuaciones mayores de estrés agudo indicaron una peor calidad de vida ( B= -0,360, P=<0.001). Se logró concluir que el estrés agudo afecta de forma negativa la calidad de vida del personal de enfermería durante la pandemia por Covid19 y esta a su vez presenta diferencias significativas en función de la edad, sexo, estado civil y experiencia laboral. Por lo que se recomienda a las autoridades en el sector salud y tomadores de decisiones diseñar políticas que garanticen estrategias para mejorar la salud mental del personal de enfermería, así como garantizar trato justo y digno.
DOI: 10.17632/4n3bsmyskj.1
title: Mutations in the lacZ gene

description: This is the raw data representing 6,465 independent lacZ mutations from multiple MutaMouse experiments. We curated lacZ mutations from published studies that were collected using a positive selection assay to identify mutations in lacZ that disrupted β-gal function. These 6,465 independent lacZ mutations cause in 2,732 missense mutations that impair β-gal function. The data were used in a publication on the functional mutational landscape of the lacZ gene.
DOI: 10.17632/j29yjtpzmr.1
title: Supporting information

description: Supplementary material
DOI: 10.17632/2dry5fc2kg.1
title: Point Density and Buffer Area

description: Geographic information system : 1-Vector data (geoinformation represented in lines, points, and polygons), 2-Geoprocessing-Buffer areas, 3-Spatial Analysis Tool-Point Density 4-Building density
DOI: 10.17632/k8gdz8nfd3.1
title: STANDARD M10 Evaluation

description: The data included in this research were collected regarding the outburst of COVID-19 and the need of fast and accurate diagnosis of SARS-CoV-2 . For this reason we compared a point of care analyzer, STANDARD M10 with three accurate real time RT-PCR tests. The aim of our study is to understand and delineate the use of STANDARD M10 in the laboratory routine and how it can actually affect the diagnostic result.
The data collected, were 106 nasopharygeal samples under COVID-19 suspicion from patients arrived to the emergency departement of our hospital. In addition, samples were processed from sample identification stage to genetic material extraction to end up at the final validation of SARS-CoV-2 diagnosis. In this procedure three real time RT-PCR assays were compared with the STANDRD M10 point of care assay. 36 samples were proceeded, according to EnzyQuest assay, 18 positive and 18 negative, 74 samples were processed according to Sacace assay, 28 positive and 46 negative and 106 samples were reviewed by Primer Design, 54 positive and 52 negative samples. 
Finally, we collected and analysed our results by calculating the efficiency of the tested assay through the following paramteres; sensitivity, specificity, negative/positive predictive value and accuracy.
DOI: 10.17632/hp3w53223w.1
title: Undulating Relativity

description: Relativity
DOI: 10.17632/4hf9s549b5.1
title: Estudo prospectivo, comparativo do efeito analgésico entre técnica WALANT e anestesia local associada à sedação para cirurgia de mão

description: Dados de pacientes de pesquisa de mestrado
DOI: 10.17632/4hf9s549b5.2
title: Estudo prospectivo, comparativo do efeito analgésico entre técnica WALANT e anestesia local associada à sedação para cirurgia de mão

description: Dados de pacientes de pesquisa de mestrado
DOI: 10.17632/khjdxwh9g7.1
title: Net methane emissions from a landfill in Tandil, Argentina

description: The dataset contains the registered atmospheric methane (CH4) concentrations and the CH4 emissions estimated from a landfill in Tandil city, Argentina. The atmospheric CH4 concentrations (ppm) were for 10 periods of 15 days each. The air samples were collected by stainless steel containers with a volume of 0.5 liters, comprising an inlet valve and an air inlet restrictor. Besides, the CH4 fluxes from the surface of the landfill cells (mg m-2 h-1) were estimated by applying the static chamber technique. Finally, the gas vents' CH4 emissions (mg h-1) are shown. This was estimated using the gas tracer methodology with permeable capsules filled with SF6 installed inside each gas vent. All this information was useful for estimating the net methane emissions from the studied landfill and the potential electric energy that could be generated from the CH4 released from gas vents.
DOI: 10.17632/khjdxwh9g7.2
title: Net methane emissions from a landfill in Tandil, Argentina

description: The dataset contains the registered atmospheric methane (CH4) concentrations and the CH4 emissions estimated from a landfill in Tandil city, Argentina. The atmospheric CH4 concentrations (ppm) were for 10 periods of 15 days each. The air samples were collected by stainless steel containers with a volume of 0.5 liters, comprising an inlet valve and an air inlet restrictor. Besides, the CH4 fluxes from the surface of the landfill cells (g m-2 d-1) were estimated by applying the static chamber technique. Finally, the gas vents' CH4 emissions (g d-1) are shown. This was estimated using the gas tracer methodology with permeable capsules filled with SF6 installed inside each gas vent. All this information was useful for estimating the net methane emissions from the studied landfill and the potential electric energy that could be generated from the CH4 released from gas vents.
DOI: 10.17632/6ztz44ksgg.1
title: Data for Menail et al., FASEB J, 2023

description: Dataset for Menail et al., FASEB J, 2023
DOI: 10.17632/32h94v2yv2.1
title: Elucidation of E3 Ubiquitin Ligase Specificity . Zhang et al.Through Proteome-wide Degron Mapping. Zhang et al.

description: This repository contains sequencing data related to "Elucidation of E3 Ubiquitin Ligase Specificity Through Proteome-wide Degron Mapping" by Zhang et al. Data is included for the GPS peptidome screen with and without MLN, results from the composition-based SVM machine learning model, along with sequencing data for scanning and saturation mutagenesis degron footprints, and from CRISPR screens for identification of E3-degron pairs.
DOI: 10.17632/32h94v2yv2.2
title: Elucidation of E3 Ubiquitin Ligase Specificity . Zhang et al.Through Proteome-wide Degron Mapping. Zhang et al.

description: This repository contains sequencing data related to "Elucidation of E3 Ubiquitin Ligase Specificity Through Proteome-wide Degron Mapping" by Zhang et al. Data is included for the GPS peptidome screen with and without MLN, results from the composition-based SVM machine learning model, along with sequencing data for scanning and saturation mutagenesis degron footprints, and from CRISPR screens for identification of E3-degron pairs. Westernblot raw images from cycloheximide chase and co-immunoprecipitation assays are also included.
DOI: 10.17632/s6bvd39g8x.1
title: Non-alcoholic steatohepatitis and obesity at 1 year– modifiable predictors of metabolic outcomes in liver recipients

description: Metabolic complications (MC) are a recognized health concern in liver transplant (LT) recipients that result in inferior patient-reported outcomes. The aim of this study was to investigate the incidence, time to onset and predictors of MC in LT recipients. Patients who received a cadaveric-donor-liver transplant between 2010 and 2019 were eligible. Adapted International Diabetes Federation, American Heart Association and the National Heart, Lung, and Blood Institute guidelines were utilised for metabolic syndrome (MS) diagnosis. 282 patients were enrolled with a median age of 52 years (66.7% males). Non-alcoholic steatohepatitis led to LT in 8.2 % of cases. De-novo MS was diagnosed in 36% of the study population. Patients with NASH presented unfavourable metabolic profiles before and after the transplant. Patients with and without NASH predominantly shared the same weight gain pattern. The NASH aetiology (OR: 5.5; p5% CI: 1.624-22.868; p =0.010), higher BMI at 1-year post-transplant (OR: 1.321; 95% CI: 1.214-1.449; p=<0.001), and older age at transplant (OR: 1.038; 95% CI: 1.006-1.074; p=0.022) were independently associated with new-onset MS in liver recipients. Concluding, MC were prevalent in liver recipients. The NASH aetiology, higher BMI at 1-year and older age at transplant were risk factors of new-onset MS.
DOI: 10.17632/s6bvd39g8x.2
title: New-onset metabolic syndrome in liver transplant recipients - a longitudinal retrospective study

description: Metabolic complications (MC) are a recognized health concern in liver transplant (LT) recipients that result in inferior patient-reported outcomes. The aim of this study was to investigate the incidence, time to onset and predictors of MC in LT recipients. Patients who received a cadaveric-donor-liver transplant between 2010 and 2019 were eligible. Adapted International Diabetes Federation, American Heart Association and the National Heart, Lung, and Blood Institute guidelines were utilised for metabolic syndrome (MS) diagnosis. 282 patients were enrolled with a median age of 52 years (66.7% males). Non-alcoholic steatohepatitis led to LT in 8.2 % of cases. De-novo MS was diagnosed in 36% of the study population. Patients with NASH presented unfavourable metabolic profiles before and after the transplant. Patients with and without NASH predominantly shared the same weight gain pattern. The NASH aetiology (OR: 5.5; p5% CI: 1.624-22.868; p =0.010), higher BMI at 1-year post-transplant (OR: 1.321; 95% CI: 1.214-1.449; p=<0.001), and older age at transplant (OR: 1.038; 95% CI: 1.006-1.074; p=0.022) were independently associated with new-onset MS in liver recipients. Concluding, MC were prevalent in liver recipients. The NASH aetiology, higher BMI at 1-year and older age at transplant were risk factors of new-onset MS.
DOI: 10.17632/74s6zmdh47.1
title: Medical students' perceptions of practicing in a monoethnic patient environment: a primary qualitative study

description: This is the data set gathered as part of a MSc dissertation project titled 'Medical students' perceptions of practicing in a monoethnic patient environment: a primary qualitative study'. The research was undertake with the University of Exeter.
DOI: 10.17632/b6j8492yxz.1
title: Dance Sport Movement Therapy in the Metaverse: A New Frontier for Alternative Mental Health Therapies

description: This paper delves into the innovative integration of Dance Movement Therapy (DMT) within extended reality (XR) environments, exploring its potential as a non-pharmacological intervention for mental health conditions. The study employed a blend of qualitative evidence synthesis and meta-analyses of primary quantitative data, focusing on the therapeutic implications of dance in virtual, augmented, and mixed realities. Utilising wearables and sensors, real-time data on participants' movements, physiological responses, and emotional feedback were collected and analysed using AI/ML algorithms, including Random Forest, SVM, CNNs, and RNNs. The research highlighted the importance of data privacy and ethical considerations, emphasising the need for securely storing metadata to ensure user trust and legal compliance. Findings underscored the potential of XR environments like the Metaverse in transforming mental health practices, offering efficient, engaging, and effective therapeutic interventions. The study also introduced the novel concept of Physical Intensity Matching and the significance of personalised exercise selection. Despite its ground-breaking insights, the research acknowledged potential biases introduced by wearables and the challenges of ensuring data accuracy. This paper is a foundational exploration into the convergence of DMT, XR, and AI, paving the way for future interdisciplinary research in mental health and technology.