cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/3ns3t5kg8b.1
title: Supplement for "Cutaneous manifestations of vasculitis: A cross-sectional analysis from an international cohort"

description: Supplement for "Cutaneous manifestations of vasculitis: A cross-sectional analysis from an international cohort"
DOI: 10.17632/vj4wkds9hg.1
title: "Empirical Foundations for an Economic-First Civil Rights Movement: A Comprehensive Data Overview"

description: In essence, the research data associated with this white paper includes historical and contemporary statistics on wealth disparities, homeownership, employment, wage gaps, and the effects of discriminatory policies such as redlining. This quantitative foundation is used to model the potential impacts of an economic-first Civil Rights Movement, suggesting that targeted interventions like reparations, job guarantees, and land redistribution could have significantly altered the economic trajectory for Black Americans.

This comprehensive dataset, combined with rigorous partial-equilibrium modeling and sensitivity analyses, provides the empirical basis for the policy proposals outlined in the paper.
DOI: 10.17632/3ns3t5kg8b.2
title: Supplement for "Cutaneous manifestations of vasculitis: A cross-sectional analysis from an international cohort"

description: Supplement for "Cutaneous manifestations of vasculitis: A cross-sectional analysis from an international cohort".
-Supplementary Methods
-Supplementary Table 1
-Acknowledgements and DCVAS investigators and centers
DOI: 10.17632/7gkfypb8hf.1
title: Raw proteomic dataset of prostatic tissue and seminal vesicle fluid from obese, diabetic and control rats

description: Study question: Can obesity and diabetes induced in male rodents alter the proteome of prostatic tissue and seminal vesicle fluid?

The data presented reflect the proteomic profile of prostatic tissue and seminal vesicle fluid from male Wistar rats, distributed into three groups: control, obese, and diabetic. The rats were fed with commercially available chow provided in a controlled manner for the control and diabetic groups, while the obese group received a high-calorie diet with 5% sucrose added to the water, provided ad libitum, for 38 weeks. Diabetes was induced through an injection of streptozotocin (35 mg/kg), 53 days prior to euthanasia. After euthanasia, the prostatic tissues and seminal vesicles (fluids) were dissected, and the samples were homogenized with RIPA buffer containing protease inhibitors. The samples were then subjected to sonication, centrifugation, and the resulting supernatant was used for total protein quantification. Trypsin digestion was performed in-gel, and the prepared samples were analyzed individually by mass spectrometry, with proteomics conducted using a shotgun approach.

The data can be interpreted as follows: there are two folders in the dataset, separated for prostatic tissue and seminal vesicle fluid, divided by control, diabetic, and obese groups, containing all the proteins quantified by animal, properly identified. For each biological sample, there is an Excel spreadsheet with the normalized proteomic data.
DOI: 10.17632/877czvcpyy.1
title: PD-1H (VISTA) expression in cutaneous squamous cell carcinoma is correlated with T cell infiltration and activation

description: Cutaneous squamous cell carcinoma (cSCC) is one of the most common human cancers whose estimated deaths approach or exceed that of melanoma. Immune inhibitory receptor antagonism through blockade of programmed death receptor 1 (PD-1) or its ligand PD-L1, has revolutionized the treatment of cSCC; however, approximately half of the patients still fail to respond. Inhibitory receptor programmed death-1 homolog (PD-1H) (also known as VISTA) functions to control T cell and myeloid cell functions in pre-clinical cancer studies. Current cancer clinical trials using anti-VISTA blocking antibodies are ongoing. We sought to determine the extent of VISTA expression in cSCCs and correlate its expression with PD-L1. Using multiplexed quantitative immunofluorescence of primary cSCC tissues (n=76) we found that VISTA is expressed in 48% of cSCCs and PD-L1 is expressed in 58% of cSCCs. We found high VISTA expression, more than PD-L1 expression, was correlated with greater T cell infiltration and activation as measured by proliferation marker Ki-67 and cytotoxic marker Granzyme B. Furthermore, there was no significant correlation between VISTA and PD-L1 co-expression within the same cSCCs, suggesting individual tumors have distinct immunosuppressive microenvironments. These findings provide rationale for targeting VISTA for cSCC cancer immunotherapy.
DOI: 10.17632/rg254yr63x.1
title: Fruits Dataset for Classification

description: About Dataset
(strawberries, peaches, pomegranates) Photo requirements:
1-White background
2-.jpg
3- Image size 300*300
The number of photos required is 250 photos of each fruit when it is fresh and 250 photos of each Fruit Dataset for Classification when it is rotten.
Total 1500 images

Diverse Collection
With a diverse collection of Product images, the files provides an excellent foundation for developing and testing machine learning models designed for image recognition and allocation. Each image is captured under different lighting conditions and backgrounds, offering a realistic challenge for algorithms to overcome.

Real-World Applications
The variability in the dataset ensures that models trained on it can generalize well to real-world scenarios, making them robust and reliable. The dataset includes common fruits such as apples, bananas, oranges, and strawberries, among others, allowing for comprehensive training and evaluation.

Industry Use Cases
One of the significant advantages of using the Fruits Dataset for Classification is its applicability in various fields such as agriculture, retail, and the food industry. In agriculture, it can help automate the process of fruit sorting and grading, enhancing efficiency and reducing labor costs. In retail, it can be used to develop automated checkout systems that accurately identify fruits, streamlining the purchasing process.

Educational Value
The dataset is also valuable for educational purposes, providing students and educators with a practical tool to learn and teach machine learning concepts. By working with this dataset, learners can gain hands-on experience in data preprocessing, model training, and evaluation.

Conclusion
The Fruits Dataset for Classification is a versatile and indispensable resource for advancing the field of image classification. Its diverse and high-quality images, coupled with practical applications, make it a go-to dataset for researchers, developers, and educators aiming to improve and innovate in machine learning and computer vision.

This dataset is sourced from Kaggle.
DOI: 10.17632/9fs7znzwf8.1
title: collaborative innovation

description: This data indicates that the implementation of urban agglomeration planning significantly promotes regional collaborative innovation, increasing the number of joint patent applications per ten thousand people in pilot cities by 61.57%. This finding confirms Hypothesis 1, which states that the introduction of urban agglomeration planning significantly enhances collaborative innovation.
DOI: 10.17632/cfxkpn6hj9.1
title: Data for Modern Soil Chronometry using Fallout Radionuclides

description: We describe environmental gamma spectrometry data for &gt;700 soil samples collected from &gt;35 high-resolution quantitative soil profiles spanning global sites. The data are collected for the purpose of modern soil chronometry based on fallout radionuclides (FRNs) 7Be and 210Pb, using the Linked Radionuclide Accumulation model (LRC). Cumulative gamma counting time for samples in the database exceeds 6.5 years. This is a living database to be augmented as data become available and corrected with improvements in data reduction or identification of errors. Versions and changes will be indexed. Special attention is paid to measurement uncertainties in the dataset, as well as how atmospheric or excess 210Pb is defined in both geochemical and mathematical terms for use in the LRC model. Basic familiarity with gamma spectrometry and radionuclide decay chains is assumed.
DOI: 10.17632/bv35ht4hpj
title: Environmental magnetic data for the Tuzimaza Section, Southern Tian Shan foreland

description: Environmental magnetic data for the Tuzimaza Section, Southern Tian Shan foreland
DOI: 10.17632/bv35ht4hpj.1
title: Environmental magnetic data for the Tuzimaza Section, Southern Tian Shan foreland

description: Environmental magnetic data for the Tuzimaza Section, Southern Tian Shan foreland
DOI: 10.17632/mws9vj7jyw.1
title: Impact of Moderate Grazing on Soil Microbial Communities in Desert and Meadow Steppes of Inner Mongolia

description: In this study, we employed second-generation amplicon sequencing to analyze the microbial diversity in soils from meadow steppe and desert steppe under grazing and control conditions. Soil samples were collected from a depth of 0-30 cm in August 2022 and were subjected to microbial diversity analysis using 16S rRNA gene sequencing. The microbial diversity, including α-diversity and β-diversity, was calculated to understand the complexity and variation within and between the microbial communities. Differences in microbial communities between treatments were assessed using ANOVA and PERMANOVA methods. Functional predictions of the microbial communities were performed using the PICRUSt2 tool, which allowed us to infer potential microbial functions based on 16S rRNA gene sequences. Functional indices, including carbon cycling functions, were computed to evaluate the ecological roles of the microbial communities.

Network analysis was conducted to investigate the interactions within the microbial communities. This analysis revealed the topological properties of bacterial and fungal networks, such as connectivity and centrality. Grazing treatments were found to increase the complexity and centrality of fungal networks while decreasing the connectivity and centralization of bacterial networks. Module network analysis further explored the modular structures within the microbial networks, identifying key functional modules and their responses to grazing. The findings highlight the distinct microbial community responses to grazing in meadow steppe and desert steppe ecosystems, emphasizing the need for tailored grazing management strategies to promote sustainable ecosystem functioning.
DOI: 10.17632/mws9vj7jyw.2
title: Moderate Grazing Differentially Alters Soil Microbial Network Complexity and Functional Potential in Desert vs. Meadow Steppes of Inner Mongolia

description: In this study, we employed second-generation amplicon sequencing to analyze the microbial diversity in soils from meadow steppe and desert steppe under grazing and control conditions. Soil samples were collected from a depth of 0-30 cm in September 2021 and were subjected to microbial diversity analysis using 16S rRNA gene sequencing. The microbial diversity, including α-diversity and β-diversity, was calculated to understand the complexity and variation within and between the microbial communities. Differences in microbial communities between treatments were assessed using ANOVA and PERMANOVA methods. Functional predictions of the microbial communities were performed using the PICRUSt2 tool, which allowed us to infer potential microbial functions based on 16S rRNA gene sequences. Functional indices, including carbon cycling functions, were computed to evaluate the ecological roles of the microbial communities.
Network analysis was conducted to investigate the interactions within the microbial communities. This analysis revealed the topological properties of bacterial and fungal networks, such as connectivity and centrality. Grazing treatments were found to increase the complexity and centrality of fungal networks while decreasing the connectivity and centralization of bacterial networks. Module network analysis further explored the modular structures within the microbial networks, identifying key functional modules and their responses to grazing. The findings highlight the distinct microbial community responses to grazing in meadow steppe and desert steppe ecosystems, emphasizing the need for tailored grazing management strategies to promote sustainable ecosystem functioning.
DOI: 10.17632/n6hxzn6fkn.1
title: T1DM and CKD due to T1DM burden in children

description: Global, regional, and national burden of type 1 diabetes mellitus and chronic kidney disease due to type 1 diabetes mellitus in children from 1990 to 2021
DOI: 10.17632/z96n99c93y.1
title: Moderating effect of gender

description: Digital Amnesia and Digital Intelligence: Moderating Effect of Gender
DOI: 10.17632/3b88bcgdyg.1
title: Database of annual spatialization of hydrological and climatic variables of Santa Catarina, Brazil

description: Spatial interpolation of Precipitation, Evapotranspiration, Temperatures (maximum, average and minimum) for the entire territory of the state of Santa Catarina, Brazil.

File format: TIFF
Coordinate system: Latitude, Longitude
Datum: WGS84

Grid: 0.0045° x 0.0045°
Period: 1961-2020
Time scale: annual

Spatialization method:
• Inverse Distance Weighted (IDW)

Biome: Atlantic Forest

Research: Doctoral thesis in Soil Science
DOI: 10.17632/dm3j2cn573.1
title: Experimental database of the elastic slip, slip capacity, and stiffness of shear stud connectors in solid concrete slabs

description: The database contains the results from 180 push tests on headed shear studs in solid concrete slabs made from normal weight and lightweight concrete. The results include elastic slip, slip capacity, shear stiffness, and load-slip measurements. The attached Excel file references the publications from which the test results were obtained, as well as two stud resistance databases that formed the basis of this database. 
The database can be used to develop predicting models for the variables presented in the database, which are important for the safe and economical design of steel-concrete composite structures.
DOI: 10.17632/drmh7s5scd
title: Referencias utilizadas no projeto

description: A Bacia do Araripe, um dos principais depósitos fossilíferos do Cretáceo no Brasil, é estudada desde o século XVIII. Este projeto investiga as contribuições de pesquisadoras brasileiras à esta bacia, mapeando descobertas, metodologias e impactos. Também analisa o papel dessas pesquisas na preservação e educação, impulsionando o desenvolvimento do Cariri. Ao integrar saberes científicos e tradicionais, valoriza a memória local e fortalece uma ciência mais inclusiva e representativa.
DOI: 10.17632/drmh7s5scd.1
title: Referencias utilizadas no projeto

description: A Bacia do Araripe, um dos principais depósitos fossilíferos do Cretáceo no Brasil, é estudada desde o século XVIII. Este projeto investiga as contribuições de pesquisadoras brasileiras à esta bacia, mapeando descobertas, metodologias e impactos. Também analisa o papel dessas pesquisas na preservação e educação, impulsionando o desenvolvimento do Cariri. Ao integrar saberes científicos e tradicionais, valoriza a memória local e fortalece uma ciência mais inclusiva e representativa.
DOI: 10.17632/x4mt4y7z7z.1
title: Spatial transcriptomics reveals differential inflammatory pathways in discoid lupus erythematosus and lichen planus

description: Here, we performed spatial transcriptomics using GeoMx® Digital Spatial Profiling, a highly multiplex method for detection of proteins and RNA in fixed tissue (Merritt et al., 2020) to broadly profile immune response pathways in keratinocytes and immune cells between patients with DLE and LP. Specifically, we used the Cancer Transcriptome Atlas (1868 genes) on archived biopsies from patients with DLE (n=9) and LP (n=10) and control skin (n=4). First, tissues were initially stained with morphological markers CD45 and pan-cytokeratin (Pan-CK) to identify regions of interest (ROIs) for subsequent analysis. Cell-masking was used to select mRNA in either keratinocytes (Pan-CK+) or CD45+ immune cells, but no other cells that may have been present in the geometric ROI. A total of 311 segments (CD45+ cells or PanCK+ cells) from 153 ROIs across 23 unique patient samples for a total of 95,823 cells were included in this analysis.
DOI: 10.17632/b96m9nrmvn.1
title: Landslide Hazard Assessment Based on Explainable Stacking Learning Model (ESLM): A Case Study of the Ili River Basin

description: Some of the data from the paper: 
1. Five images show the loss curves of the DNN model for each fold in the 5-fold cross-validation (including both the training and validation sets). 
2. The Excel file contains extracted data of landslide and non-landslide points, providing only 300 rows of data here. 
3. The `.ipynb` file is the Python code for the ESLM model in this paper, mainly implementing the use of the SHAP method to explain the results of the Stacking model.
DOI: 10.17632/ky9pvj7td2.1
title: Data ( Influence Mechanism)

description: Data ( Influence Mechanism)
DOI: 10.17632/34jn7b8m6z.2
title: ID-TIMS U-Pb data for Emerald Lake apatite

description: ID-TIMS U-Pb data for Emerald Lake apatite.
DOI: 10.17632/zfgsvykssh.1
title: Monthly spatialization database of hydrological and climatic variables of Santa Catarina, Brazil

description: Spatial interpolation of Precipitation, Evapotranspiration, Temperatures (maximum, average and minimum) for the entire territory of the state of Santa Catarina, Brazil.

Atlantic Forest Biome

File format: TIFF
Coordinate system: Latitude, Longitude
Date: SIRGAS 2000

Grid: 0.0045° x 0.0045°
Period: 1961-2020
Time scale: monthly

Spatialization method:
• Inverse Distance Weighted (IDW)

Biome: Atlantic Forest

Research: Doctoral thesis in Soil Science
DOI: 10.17632/42v4hbj7xy.1
title: An Ethical Framework for Managing Neglected Skin Tumors in Older Patients.

description: Supplemental Figures for JAAD Manuscript "An Ethical Framework for Managing Neglected Skin Tumors in Older Patients."
DOI: 10.25582/data.2024-02.3027937/2513251
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3027938/2513252
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3027939/2513253
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3027940/2513254
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3027941/2513255
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3027942/2513256
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3027946/2513257
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3027949/2513258
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3027958/2513259
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3027959/2513260
title: Data for EMSL Project 51287 from February 2024
DOI: 10.17632/ht68yhc7px.1
title: Data-Taxonomic and Functional Diversity of Amphibians in the Pasture-Edge-Interior

description: We share data on edge effect analysis in the tropical dry forest of the Colombian Caribbean.
DOI: 10.25582/data.2024-02.3027961/2513261
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3027962/2513262
title: Data for EMSL Project 51287 from February 2024
DOI: 10.17632/9rvyjbvjw3.1
title: uniGasFoam: A particle-based OpenFOAM solver for multiscale rarefied gas flows

description: This paper presents uniGasFoam, an open-source particle-based solver for multiscale rarefied gas flow simulations, which has been developed within the well-established OpenFOAM framework, and is an extension of the direct simulation Monte Carlo (DSMC) solver dsmcFoam+. The developed solver addresses the coupling challenges inherent in hybrid continuum-particle methods, originating from the disparate nature of finite-volume (FV) solvers found in computational fluid dynamics (CFD) software and DSMC particle solvers. This is achieved by employing alternative stochastic particle methods, resembling DSMC, to tackle the continuum limit. The uniGasFoam particle-particle coupling produces a numerical implementation that is simpler and more robust, faster in many steady-state flows, and more scalable for transient flows compared to conventional continuum-particle coupling. The presented framework is unified and generic, and can couple DSMC with stochastic particle (SP) and unified stochastic particle (USP) methods, or be employed for pure DSMC, SP, and USP gas simulations. To enhance user experience, reduce required computational resources and minimise user error, advanced adaptive algorithms such as transient adaptive sub-cells, non-uniform cell weighting, and adaptive global time stepping have been integrated into uniGasFoam. In this paper, the hybrid USP-DSMC module of uniGasFoam is rigorously validated through multiple benchmark cases, consistently showing excellent agreement with pure DSMC, hybrid CFD-DSMC, and literature results. Notably, uniGasFoam achieves significant computational gains compared to pure dsmcFoam+ simulations, rendering it a robust computational tool well-suited for addressing multiscale rarefied gas flows of engineering importance.
DOI: 10.25582/data.2024-02.3027971/2513263
title: Data for EMSL Project 51287 from February 2024
DOI: 10.17632/3jr7j9gyff.1
title: MeshAC: A 3D mesh generation and adaptation package for multiscale coupling methods

description: This paper introduces the MeshAC package, which generates three-dimensional adaptive meshes tailored for the efficient and robust implementation of multiscale coupling methods. While Delaunay triangulation is commonly used for mesh generation across the entire computational domain, generating meshes for multiscale coupling methods is more challenging due to intrinsic discrete structures such as defects, and the need to match these structures to the continuum domain at the interface. The MeshAC package tackles these challenges by creating hierarchical mesh structures linked through a novel modified interface region. It also incorporates localized modification and reconstruction operations specifically designed for interfaces. These enhancements improve both the implementation efficiency and the quality of the coupled mesh. Furthermore, MeshAC introduces a novel adaptive feature that utilizes gradient-based a posteriori error estimation, which automatically adjusts the atomistic region and continuum mesh, striving for an appropriate trade-off between accuracy and efficiency. This package can be directly applied to the geometry optimization problems of a/c coupling in static mechanics [1], [2], [3], [4], [5], with potential extensions to many other scenarios. Its capabilities are demonstrated for complex material defects, including straight edge dislocation in BCC W and double voids in FCC Cu. These results suggest that MeshAC can be a valuable tool for researchers and practitioners in computational mechanics.
DOI: 10.25582/data.2024-02.3027972/2513264
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3027973/2513265
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3027979/2513266
title: Data for EMSL Project 51287 from February 2024
DOI: 10.17632/fymxjj3g3p.1
title: Clinical Characteristics and Associated Factors of Macrolide-Resistant Mycoplasma Pneumoniae Pneumonia in Children: A Systematic Review and Meta-Analysis

description: This study aims to systematically review and conduct a meta-analysis of the clinical characteristics and associated factors of macrolide-resistant Mycoplasma pneumoniae pneumonia (MRMP) in children. By synthesizing data from multiple studies, this research intends to provide clinicians with a comprehensive understanding of MRMP and offer guidance for future research directions.
DOI: 10.25582/data.2024-02.3027980/2513267
title: Data for EMSL Project 51287 from February 2024
DOI: 10.25582/data.2024-02.3027988/2513268
title: Data for EMSL Project 51287 from February 2024