cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.partic.00092
title: Balancing particle properties for practical lithium-ion batteries
title: Balancing particle properties for practical lithium-ion batteries

description: As a state-of-the-art secondary battery, lithium-ion batteries (LIBs) have dominated the consumer electronics market since Sony unveiled the commercial secondary battery with LiCoO2 as the negative electrode material in the early 1990s. The key to the efficient operation of LIBs lies in the effective contact between the Li-ion-rich electrolyte and the active material particles in the electrode. The particle properties of the electrode materials affect the lithium ion diffusion path, diffusion resistance, contact area with the active material, the electrochemical performance and the energy density of batteries. To achieve satisfied comprehensive performance and of LIBs, it is not only necessary to focus on the modification of materials, but also to balance the properties of electrode material particles. Therefore, in this review, we analyze the influence of particle properties on the battery performance from three perspectives: particle size, particle size distribution, and particle shape. A deep understanding of the effect and mechanism of particles on electrodes and batteries will help develop and manufacture practical LIBs.
description: As a state-of-the-art secondary battery, lithium-ion batteries (LIBs) have dominated the consumer electronics market since Sony unveiled the commercial secondary battery with LiCoO2 as the negative electrode material in the early 1990s. The key to the efficient operation of LIBs lies in the effective contact between the Li-ion-rich electrolyte and the active material particles in the electrode. The particle properties of the electrode materials affect the lithium ion diffusion path, diffusion resistance, contact area with the active material, the electrochemical performance and the energy density of batteries. To achieve satisfied comprehensive performance and of LIBs, it is not only necessary to focus on the modification of materials, but also to balance the properties of electrode material particles. Therefore, in this review, we analyze the influence of particle properties on the battery performance from three perspectives: particle size, particle size distribution, and particle shape. A deep understanding of the effect and mechanism of particles on electrodes and batteries will help develop and manufacture practical LIBs.
DOI: 10.15468/dl.5e6ej9
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Aneides flavipunctatus niger Myers & Maslin, 1948)"
 ]
}

 The dataset includes 102 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001132-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.partic.00093
title: GPU-enhanced DEM analysis of flow behaviour of irregularly shaped particles in a full-scale twin screw granulator
title: GPU-enhanced DEM analysis of flow behaviour of irregularly shaped particles in a full-scale twin screw granulator

description: During twin screw granulation (TSG), small particles, which generally have irregular shapes, agglomerate together to form larger granules with improved properties. However, how particle shape impacts the conveying characteristics during TSG is not explored nor well understood. In this study, a graphic processor units (GPUs) enhanced discrete element method (DEM) is adopted to examine the effect of particle shape on the conveying characteristics in a full scale twin screw granulator for the first time. It is found that, TSG with spherical particles has the smallest particle retention number, mean residence time, and power consumption; while for Hexp shaped particles the largest particle retention number is obtained, and TSG with cubic particles requires the maximum power consumption. Furthermore, spherical particles exhibit a flow pattern closer to an ideal plug flow, while cubic particles present a flow pattern approaching a perfect mixing. It is demonstrated that the GPU-enhanced DEM is capable of simulating the complex TSG process in a full-scale twin screw granulator with non-spherical particles.
description: During twin screw granulation (TSG), small particles, which generally have irregular shapes, agglomerate together to form larger granules with improved properties. However, how particle shape impacts the conveying characteristics during TSG is not explored nor well understood. In this study, a graphic processor units (GPUs) enhanced discrete element method (DEM) is adopted to examine the effect of particle shape on the conveying characteristics in a full scale twin screw granulator for the first time. It is found that, TSG with spherical particles has the smallest particle retention number, mean residence time, and power consumption; while for Hexp shaped particles the largest particle retention number is obtained, and TSG with cubic particles requires the maximum power consumption. Furthermore, spherical particles exhibit a flow pattern closer to an ideal plug flow, while cubic particles present a flow pattern approaching a perfect mixing. It is demonstrated that the GPU-enhanced DEM is capable of simulating the complex TSG process in a full-scale twin screw granulator with non-spherical particles.
DOI: 10.57967/hf/5263
title: memefact-templates
DOI: 10.57760/sciencedb.15052
title: 16S and ITS sequences
title: 16S and ITS sequences

description: The 16S and ITS raw data for temperate agricultural, grassland, and forest soils.
description: The 16S and ITS raw data for temperate agricultural, grassland, and forest soils.
DOI: 10.57760/sciencedb.15063
title: After AI hallucinations
title: AI幻觉之后

description: The Relationship between Users’ Cognitive Belief Levels about generative AI and Revisit Intention
description: The Relationship between Users’ Cognitive Belief Levels about generative AI and Revisit Intention
DOI: 10.6084/m9.figshare.28877852
title: Predictive_158_Data-18_input-1 and 5_output.csv

description: effectiveness of various machine learning methods for predicting student success using data from multiple sources including learning management system, lecture capture system, and web-conferencing platform
DOI: 10.6084/m9.figshare.28877852.v1
title: Predictive_158_Data-18_input-1 and 5_output.csv

description: effectiveness of various machine learning methods for predicting student success using data from multiple sources including learning management system, lecture capture system, and web-conferencing platform
DOI: 10.57760/sciencedb.15085
title: Gut commensal Lactobacillus strain induce balanced trained immunity phenotype to enhance vaccine efficacy through JAK-STAT-SOCS pathway
title: 乳酸菌23017诱导训练免疫

description: 数据包括乳酸菌诱导的体外巨噬细胞实验、小鼠体内实验和体外巨噬细胞实验。使用检测试剂盒、 PCR 和其他实验方法测量细胞因子和训练免疫标志物的表达水平。测定小鼠细胞上清液和血清中乳酸和葡萄糖的浓度，以及小鼠的存活率和体重变化。这还包括用免疫联合亚单位疫苗训练小鼠后抗体变化、MRSA 感染存活率、细胞因子水平等的数据。
description: 数据包括乳酸菌诱导的体外巨噬细胞实验、小鼠体内实验和体外巨噬细胞实验。使用检测试剂盒、 PCR 和其他实验方法测量细胞因子和训练免疫标志物的表达水平。测定小鼠细胞上清液和血清中乳酸和葡萄糖的浓度，以及小鼠的存活率和体重变化。这还包括用免疫联合亚单位疫苗训练小鼠后抗体变化、MRSA 感染存活率、细胞因子水平等的数据。
DOI: 10.5281/zenodo.15288280
title: UAV LiDAR Point Clouds for Shoreline Extraction (Mrzeżyno) - demo data to S-LiNE Toolbox

description: This dataset contains three UAV LiDAR point cloud files (.las format) collected along the coastline of Mrzeżyno, Poland.The data were acquired using a DJI Zenmuse L1 sensor mounted on an UAV platform (DJI Matrice 300).These files are intended for shoreline detection and coastal monitoring applications, and can be directly used with the S-LiNE Toolbox.

Acquisition dates:2023-12-162024-01-292024-03-27

Coordinate system:EPSG:2180 (ETRS89 / Poland CS92)

Sensor:DJI Zenmuse L1 (UAV LiDAR)

Notes:The dataset focuses on high-resolution shoreline delineation and monitoring of dune-beach systems.
description: Funding:This research was funded in whole or in part by the National Science Centre, Poland, through the projects:“Analysis of coastal dune morphodynamics using machine learning methods - ACTUAL”, project number 2023/49/N/ST10/00347.For the purpose of Open Access, the author has applied a CC-BY public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission.
DOI: 10.5281/zenodo.15288281
title: UAV LiDAR Point Clouds for Shoreline Extraction (Mrzeżyno) - demo data to S-LiNE Toolbox

description: This dataset contains three UAV LiDAR point cloud files (.las format) collected along the coastline of Mrzeżyno, Poland.The data were acquired using a DJI Zenmuse L1 sensor mounted on an UAV platform (DJI Matrice 300).These files are intended for shoreline detection and coastal monitoring applications, and can be directly used with the S-LiNE Toolbox.

Acquisition dates:2023-12-162024-01-292024-03-27

Coordinate system:EPSG:2180 (ETRS89 / Poland CS92)

Sensor:DJI Zenmuse L1 (UAV LiDAR)

Notes:The dataset focuses on high-resolution shoreline delineation and monitoring of dune-beach systems.
description: Funding:This research was funded in whole or in part by the National Science Centre, Poland, through the projects:“Analysis of coastal dune morphodynamics using machine learning methods - ACTUAL”, project number 2023/49/N/ST10/00347.For the purpose of Open Access, the author has applied a CC-BY public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission.
DOI: 10.57760/sciencedb.j00133.00399
title: GAGAT model dataset
title: GAGAT模型数据集

description: The GAGAT model is implemented using the Pytorch framework on an NVIDIA GeForce GTX 1080 Ti GPU with 11GB of memory (Pytorch 2.3.0; Cuda 11.8; Python 3.9). The specific model dataset consists of three parts: the original dataset (FB15K-237, WN18RR, and four sub datasets FB15k-237v1, FB15k-237v2, FB15k-237v3, FB15k-237v4 of FB15K-237), and the TransE pre-processing model; And the GAGAT model ontology. After configuring the relevant environment, modify the address paths of all models to the specified original dataset. First, initialize the preprocessing of the original dataset using the TransE preprocessing model, generate implicit information and entity machine relationship embeddings using the implicit global information vector generation program, and finally input the embeddings into the encoder of the GAGAT model for training and evaluation. 
description: The GAGAT model is implemented using the Pytorch framework on an NVIDIA GeForce GTX 1080 Ti GPU with 11GB of memory (Pytorch 2.3.0; Cuda 11.8; Python 3.9). The specific model dataset consists of three parts: the original dataset (FB15K-237, WN18RR, and four sub datasets FB15k-237v1, FB15k-237v2, FB15k-237v3, FB15k-237v4 of FB15K-237), and the TransE pre-processing model; And the GAGAT model ontology. After configuring the relevant environment, modify the address paths of all models to the specified original dataset. First, initialize the preprocessing of the original dataset using the TransE preprocessing model, generate implicit information and entity machine relationship embeddings using the implicit global information vector generation program, and finally input the embeddings into the encoder of the GAGAT model for training and evaluation.
DOI: 10.57760/sciencedb.15105
title: PREVALENCE OF DEPRESSION AND ANXIETY IN WOMEN WITH CHRONIC PELVIC PAIN: a systematic review and meta-analysis
title: PREVALENCE OF DEPRESSION AND ANXIETY IN WOMEN WITH CHRONIC PELVIC PAIN: a systematic review and meta-analysis

description: This study aimed to present the prevalence of depression and anxiety in women with Chronic Pelvic Pain (CPP) and their associated factors. This systematic review and meta-analysis were conducted using the PubMed, Embase, and SciELO platforms, focusing on studies published between 2010 and 2024. Eight studies were evaluated and demonstrated a significant prevalence of anxiety and depression in women with CPP, ranging from 22.8% to 79.0% and 14.0% to 56.9%, respectively. The HADS (Hospital Anxiety and Depression Scale) was the most used tool for screening anxiety and depression (37.5%), the PHQ (Patient Health Questionnaire) was used by 25.0%, one study used the DSM-IV (Diagnostic and Statistical Manual of Mental Disorders), and another relied on self-reporting of these disorders. In the meta-analysis, patients with CPP were found to be twice as likely to have anxiety disorders but not depression. The studies varied in their healthcare context, and only two specifically focused on evaluating mental disorders in women with CPP. An increased prevalence of anxiety was observed in women with CPP, while the prevalence of depression was elevated but not statistically significant. Significant associations were found with physical and sexual abuse, early emotional trauma, endometriosis, and surgical trauma.
description: This study aimed to present the prevalence of depression and anxiety in women with Chronic Pelvic Pain (CPP) and their associated factors. This systematic review and meta-analysis were conducted using the PubMed, Embase, and SciELO platforms, focusing on studies published between 2010 and 2024. Eight studies were evaluated and demonstrated a significant prevalence of anxiety and depression in women with CPP, ranging from 22.8% to 79.0% and 14.0% to 56.9%, respectively. The HADS (Hospital Anxiety and Depression Scale) was the most used tool for screening anxiety and depression (37.5%), the PHQ (Patient Health Questionnaire) was used by 25.0%, one study used the DSM-IV (Diagnostic and Statistical Manual of Mental Disorders), and another relied on self-reporting of these disorders. In the meta-analysis, patients with CPP were found to be twice as likely to have anxiety disorders but not depression. The studies varied in their healthcare context, and only two specifically focused on evaluating mental disorders in women with CPP. An increased prevalence of anxiety was observed in women with CPP, while the prevalence of depression was elevated but not statistically significant. Significant associations were found with physical and sexual abuse, early emotional trauma, endometriosis, and surgical trauma.
DOI: 10.57760/sciencedb.15112
title: Adaptive event-triggered leader-following consensus control for multi-agent systems with external disturbances
title: Adaptive event-triggered leader-following consensus control for multi-agent systems with external disturbances

description: Fig. b presents the observation error of the follower.Fig. c presents the observed values of the disturbance suffered by the followers.Fig. d presents the observation error of the disturbance,Fig. e presents the position error between the follower and the leader.Fig. f shows the trigger time series for each follower.Fig. g shows the control inputs of the controller
description: Fig. b presents the observation error of the follower.Fig. c presents the observed values of the disturbance suffered by the followers.Fig. d presents the observation error of the disturbance,Fig. e presents the position error between the follower and the leader.Fig. f shows the trigger time series for each follower.Fig. g shows the control inputs of the controller
DOI: 10.57760/sciencedb.15107
title: A dataset of a indoor microcosm researched on interaction effect of nutrient enrichment, fungicide presence and detritivore idnentity on leaf litter decomposition and fungal community
title: A dataset of a indoor microcosm researched on interaction effect of nutrient enrichment, fungicide presence and detritivore idnentity on leaf litter decomposition and fungal community

description: We conducted a microcosm experiment to examine: 1) the individual and combined effects of nutrient enrichment and a common fungicide on leaf litter decomposition and fungal communities; and 2) how two types of detritivore invertebrates (scrapers vs. shredders) influence these effects. 
description: We conducted a microcosm experiment to examine: 1) the individual and combined effects of nutrient enrichment and a common fungicide on leaf litter decomposition and fungal communities; and 2) how two types of detritivore invertebrates (scrapers vs. shredders) influence these effects.
DOI: 10.57760/sciencedb.j00217.03952
title: The role of T cells in COVID-19
title: T细胞在新型冠状病毒感染中的作用

description: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the pathogen of Corona Virus Disease 2019 (COVID-19). The global epidemic of SARS-CoV-2 and its variants in recent years has posed a great threat to world health security. The interaction between the immune system and the virus is an important factor affecting the severity of clinical symptoms and prognosis of patients which has always been the focus of related research. As an important part of the body's adaptive immune response, T cells play an important role in all stages of COVID-19, including the prevention of SARS-CoV-2 infection. This article reviews the role of T cells in the prevention, control and clearance of SARS-CoV-2 infection, and provides ideas for the prevention and treatment of COVID-19 and the development of COVID-19 vaccines.
description: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the pathogen of Corona Virus Disease 2019 (COVID-19). The global epidemic of SARS-CoV-2 and its variants in recent years has posed a great threat to world health security. The interaction between the immune system and the virus is an important factor affecting the severity of clinical symptoms and prognosis of patients which has always been the focus of related research. As an important part of the body's adaptive immune response, T cells play an important role in all stages of COVID-19, including the prevention of SARS-CoV-2 infection. This article reviews the role of T cells in the prevention, control and clearance of SARS-CoV-2 infection, and provides ideas for the prevention and treatment of COVID-19 and the development of COVID-19 vaccines.
DOI: 10.57760/sciencedb.15163
title: Dataset of bone marrow cell images with complex karyotype and non-complex karyotype in patients with multiple myeloma.
title: 多发性骨髓瘤患者复杂核型与非复杂核型骨髓细胞图片数据集

description: We defined all complex karyotypes as patients with ≥ 3 abnormalities detected in their chromosome karyotypes. After applying algorithm execution, we generated multiple myeloma complex karyotype bone marrow plasma cell images and multiple myeloma non complex karyotype bone marrow plasma cell images, thus forming a dataset of myeloma bone marrow plasma cell images based on karyotype classification. The segmented image file is labeled in the Tag Image File Format (TIF). The dataset containing complex karyotype bone marrow plasma cells is designated as "POOR MM SINGLE", while the dataset containing non complex karyotype bone marrow plasma cells is labeled as "GOOD MM SINGLE". 
description: We defined all complex karyotypes as patients with ≥ 3 abnormalities detected in their chromosome karyotypes. After applying algorithm execution, we generated multiple myeloma complex karyotype bone marrow plasma cell images and multiple myeloma non complex karyotype bone marrow plasma cell images, thus forming a dataset of myeloma bone marrow plasma cell images based on karyotype classification. The segmented image file is labeled in the Tag Image File Format (TIF). The dataset containing complex karyotype bone marrow plasma cells is designated as "POOR MM SINGLE", while the dataset containing non complex karyotype bone marrow plasma cells is labeled as "GOOD MM SINGLE".
DOI: 10.57760/sciencedb.15164
title: A dataset of Oxacillin promotes membrane vesicle secretion
title: A dataset of Oxacillin promotes membrane vesicle secretion

description: This data set contains all the source figures and tables used in our manuscript , such as the raw images of gel and western blot, excels for statistical comparison analysed by GraphPad Prism 8.0 software.
description: This data set contains all the source figures and tables used in our manuscript , such as the raw images of gel and western blot, excels for statistical comparison analysed by GraphPad Prism 8.0 software.
DOI: 10.57760/sciencedb.15165
title: Modulating Circadian Rhythms: A Comparative Analysis of Tea Types and Components
title: Modulating Circadian Rhythms: A Comparative Analysis of Tea Types and Components

description: Regulating circadian rhythm: comparative analysis of tea types and components 
description: Regulating circadian rhythm: comparative analysis of tea types and components
DOI: 10.15468/dl.d64a4s
title: Occurrence Download

description: A dataset containing 776 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "StateProvince is one of (Oregon, Washington, California)",
 "TaxonKey is Strix varia Barton, 1799",
 "Year 1000-2020"
 ]
}

 The dataset includes 776 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001133-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.15167
title: original data for figures
title: original data for figures

description: this file is part of 'Graphite sheet electrochemical sensor for sensitive uric acid and protein detection'
description: this file is part of 'Graphite sheet electrochemical sensor for sensitive uric acid and protein detection'
DOI: 10.57760/sciencedb.15170
title: Data set for manuscript "Comparing thermofluidic transport and solidification characteristics of conventional and high-speed laser directed energy deposition"
title: Data set for manuscript "Comparing thermofluidic transport and solidification characteristics of conventional and high-speed laser directed energy deposition"

description: Data set for manuscript
description: Data set for manuscript