cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.14570
title: Online ecological health tourism tourists revisit intention data set
title: 线上生态康养旅游游客重游意愿数据集

description: The data were collected from July 5,2024 to July 19,2024. The table row labels represent specific items, and the column labels are respondents, using the Likert 5-level scale. Questions 1-4, 5-10 and 11-15 in the questionnaire measure the three sub-dimensions of ecological health tourism experience : ' natural landscape experience ', ' ecological environment experience ' and ' health facilities experience ' ; 16-19 questions measure health benefit perception ; questions 20-23 and 24-27 respectively measure the two sub-dimensions of place attachment : place identity and place dependence ; questions 28-30 measure the willingness to revisit. Question 31-37 measures the demographic characteristics of the respondents, including gender, age, education level, occupation, monthly income, number of times of participating in ecological health tourism, and way of travel.
description: The data were collected from July 5,2024 to July 19,2024. The table row labels represent specific items, and the column labels are respondents, using the Likert 5-level scale. Questions 1-4, 5-10 and 11-15 in the questionnaire measure the three sub-dimensions of ecological health tourism experience : ' natural landscape experience ', ' ecological environment experience ' and ' health facilities experience ' ; 16-19 questions measure health benefit perception ; questions 20-23 and 24-27 respectively measure the two sub-dimensions of place attachment : place identity and place dependence ; questions 28-30 measure the willingness to revisit. Question 31-37 measures the demographic characteristics of the respondents, including gender, age, education level, occupation, monthly income, number of times of participating in ecological health tourism, and way of travel.
DOI: 10.57760/sciencedb.14582
title: Carbon sequestration process and mechanism driven synergistically by marine Synechoccoccus and heterotrophic bacterial communities under long-term coexitence
title: Supplementary Tables for the dissertation of "Carbon sequestration process and mechanism driven synergistically by marine Synechoccoccus and heterotrophic bacterial communities under long-term coexitence"

description: Supplementary Table2-1 to 2-3, 3-1 to 3-3, 4-1 to 4-4, 7-1 to 7-2 and 8-1 for the dissertation of "Carbon sequestration process and mechanism driven synergistically by marine Synechoccoccus and heterotrophic bacterial communities under long-term coexitence"
description: Supplementary Table2-1 to 2-3, 3-1 to 3-3, 4-1 to 4-4, 7-1 to 7-2 and 8-1 for the dissertation of "Carbon sequestration process and mechanism driven synergistically by marine Synechoccoccus and heterotrophic bacterial communities under long-term coexitence"
DOI: 10.57760/sciencedb.14595
title: RISK TOLERANCE WITH NEUROFINANCE INSIGHTS
title: RISK TOLERANCE WITH NEUROFINANCE INSIGHTS

description: The study employed a primary data collection approach through a questionnaire using a 5-point Likert scale. The questionnaire was pre-tested on a sample of six respondents and three academic professors. The targeted respondents were senior students with financial solid knowledge and background
description: The study employed a primary data collection approach through a questionnaire using a 5-point Likert scale. The questionnaire was pre-tested on a sample of six respondents and three academic professors. The targeted respondents were senior students with financial solid knowledge and background
DOI: 10.57760/sciencedb.14603
title: Article Support Data
title: Article Support Data

description: Mechanisms of volatile organic compounds against Pseudogymnoascus destructans in bat cave environment
description: Mechanisms of volatile organic compounds against Pseudogymnoascus destructans in bat cave environment
DOI: 10.57760/sciencedb.partic.00017
title: Oblique impact breakage unification of nonspherical particles using discrete element method
title: Oblique impact breakage unification of nonspherical particles using discrete element method

description: Particle breakage commonly occurs during processing of particulate materials, but a mechanistic model of particle impact breakage is not fully established. This article presents oblique impact breakage characteristics of nonspherical particles using discrete element method (DEM) simulations. Three different particle shapes, i.e. spherical, cuboidal and cylindrical, are investigated. Constituent spheres are agglomerated with bridging bonds to model the breakage characteristics under impact conditions. The effect of agglomerate shapes on the breakage pattern, damage ratio, and fragment size distribution is fully investigated. By using a newly proposed oblique impact model, unified breakage master surfaces are theoretically constructed for all the particle shapes under oblique impact conditions. The developed approach can be applied to modelling particulate processes where nonspherical particles and oblique impact breakage are prevailing.
description: Particle breakage commonly occurs during processing of particulate materials, but a mechanistic model of particle impact breakage is not fully established. This article presents oblique impact breakage characteristics of nonspherical particles using discrete element method (DEM) simulations. Three different particle shapes, i.e. spherical, cuboidal and cylindrical, are investigated. Constituent spheres are agglomerated with bridging bonds to model the breakage characteristics under impact conditions. The effect of agglomerate shapes on the breakage pattern, damage ratio, and fragment size distribution is fully investigated. By using a newly proposed oblique impact model, unified breakage master surfaces are theoretically constructed for all the particle shapes under oblique impact conditions. The developed approach can be applied to modelling particulate processes where nonspherical particles and oblique impact breakage are prevailing.
DOI: 10.57760/sciencedb.j00053.00053
title: Global Patent Search Strategies for Optical Chip Industry
title: Global Patent Search Strategies for Optical Chip Industry

description: Global Patent Search Strategies for Optical Chip Industry
description: Global Patent Search Strategies for Optical Chip Industry
DOI: 10.57760/sciencedb.j00124.00080
title: Effects of basic sites and defects of MgAL-LDHs on Direct Carboxylation of Fluorene with CO2
title: 碱性位和缺陷对MgAL-LDHs催化芴与CO2直接羧基化反应的影响

description: Effects of basic sites and defects of MgAL-LDHs on Direct Carboxylation of Fluorene with CO2
description: Effects of basic sites and defects of MgAL-LDHs on Direct Carboxylation of Fluorene with CO2
DOI: 10.57967/hf/5262
title: factcheck-memes-x
DOI: 10.57760/sciencedb.14607
title: Sb4O5Cl2 Embedded in Carbon Polyhedra For Fast Charge Kinetics Towards High-Capacity Lithium-ion Capacitors
title: Sb4O5Cl2 Embedded in Carbon Polyhedra For Fast Charge Kinetics Towards High-Capacity Lithium-ion Capacitors

description: SbOx with high theoretical capacity are regarded as ideal negative electrode materials for lithium-ion capacitors (LICs). However, its poor conductivity and vast volume change during lithiation/de-lithiation process limit electrochemical performance and practical application. Herein, we present an atomic-scale structural engineering strategy to confine Sb4O5Cl2 nanoclusters in zeolitic imidazolate framework (ZIF)-derived carbon polyhedra (ZCP) as a pomegranate-like polyhedra composite anode. The incorporation of Sb4O5Cl2 and carbon polyhedral regulate the Femi level and coordination environment of Sb atoms for enhanced electronic conductivity and accelerated ion-transfer kinetics. Moreover, the obtained pomegranate-like structure can accommodate the volume expansion of Sb4O5Cl2 during cycling. As a result, the Sb4O5Cl2@ZCP electrode exhibits a high capacity of about 800 mAh g-1 and excellent cyclic stability. The LICs based on the Sb4O5Cl2@ZCP anode and active carbon cathode possesses a high energy density of 122 Wh kg-1 and a power density of 9.7 kW kg-1. Simultaneously, a halogen ion substitution chemistry is also disclosed for high-performance doped SbOx. This study provides effective guidelines for the design of large-capacity and high-rate anode in LICs.
description: SbOx with high theoretical capacity are regarded as ideal negative electrode materials for lithium-ion capacitors (LICs). However, its poor conductivity and vast volume change during lithiation/de-lithiation process limit electrochemical performance and practical application. Herein, we present an atomic-scale structural engineering strategy to confine Sb4O5Cl2 nanoclusters in zeolitic imidazolate framework (ZIF)-derived carbon polyhedra (ZCP) as a pomegranate-like polyhedra composite anode. The incorporation of Sb4O5Cl2 and carbon polyhedral regulate the Femi level and coordination environment of Sb atoms for enhanced electronic conductivity and accelerated ion-transfer kinetics. Moreover, the obtained pomegranate-like structure can accommodate the volume expansion of Sb4O5Cl2 during cycling. As a result, the Sb4O5Cl2@ZCP electrode exhibits a high capacity of about 800 mAh g-1 and excellent cyclic stability. The LICs based on the Sb4O5Cl2@ZCP anode and active carbon cathode possesses a high energy density of 122 Wh kg-1 and a power density of 9.7 kW kg-1. Simultaneously, a halogen ion substitution chemistry is also disclosed for high-performance doped SbOx. This study provides effective guidelines for the design of large-capacity and high-rate anode in LICs.
DOI: 10.57760/sciencedb.partic.00018
title: Applications of artificial intelligence to lipid nanoparticle delivery
title: Applications of artificial intelligence to lipid nanoparticle delivery

description: Lipid nanoparticles (LNPs) are nanocarriers composed of four lipid components and can be used for gene therapy, protein replacement, and vaccine development. However, LNPs also face several challenges, such as toxicity, immune activation, and low delivery efficiency. To overcome these challenges, artificial intelligence can be used to optimize the design and formulation of LNPs, as well as to predict their properties and performance. Moreover, antibody-targeted conjugation can be used to enhance the specificity and selectivity of LNPs by attaching an antibody that recognizes a specific antigen on the cell surface to LNPs.
description: Lipid nanoparticles (LNPs) are nanocarriers composed of four lipid components and can be used for gene therapy, protein replacement, and vaccine development. However, LNPs also face several challenges, such as toxicity, immune activation, and low delivery efficiency. To overcome these challenges, artificial intelligence can be used to optimize the design and formulation of LNPs, as well as to predict their properties and performance. Moreover, antibody-targeted conjugation can be used to enhance the specificity and selectivity of LNPs by attaching an antibody that recognizes a specific antigen on the cell surface to LNPs.
DOI: 10.57760/sciencedb.partic.00020
title: Identification of the optimal doping position of hetero-atoms in chalcogen-doped Fe–N–C catalysts for oxygen reduction reaction
title: Identification of the optimal doping position of hetero-atoms in chalcogen-doped Fe–N–C catalysts for oxygen reduction reaction

description: The excellent oxygen reduction reaction (ORR) activity of Fe–N–C catalysts in acidic media makes them potential for low-cost proton exchange membrane fuel cells. In recent years, it has been shown that heteroatoms (B, O, S, P, Cl, F, etc.) can be used as electron-withdrawing groups to modulate the planar structure and electron distribution of the Fe–Nx active sites to achieve simultaneous improvement of catalytic activity and stability. However, the optimal location of the heteroatoms remains unclear. Here, taking chalcogen heteroatoms (S and Se) as an example, we control the doping positions and investigate their effect on the ORR performance of the Fe–N–C catalysts. The first coordination shell of the iron single atom is identified as the optimal doping position. The optimized catalysts Fe–N3S1/NC and Fe–N3Se1/NC demonstrate improved activity and stability in both half cells and fuel cells. This work provides insights into the enhancement mechanism of heteroatom doping in single-atom catalysts.
description: The excellent oxygen reduction reaction (ORR) activity of Fe–N–C catalysts in acidic media makes them potential for low-cost proton exchange membrane fuel cells. In recent years, it has been shown that heteroatoms (B, O, S, P, Cl, F, etc.) can be used as electron-withdrawing groups to modulate the planar structure and electron distribution of the Fe–Nx active sites to achieve simultaneous improvement of catalytic activity and stability. However, the optimal location of the heteroatoms remains unclear. Here, taking chalcogen heteroatoms (S and Se) as an example, we control the doping positions and investigate their effect on the ORR performance of the Fe–N–C catalysts. The first coordination shell of the iron single atom is identified as the optimal doping position. The optimized catalysts Fe–N3S1/NC and Fe–N3Se1/NC demonstrate improved activity and stability in both half cells and fuel cells. This work provides insights into the enhancement mechanism of heteroatom doping in single-atom catalysts.
DOI: 10.57760/sciencedb.partic.00021
title: Lithium polysulfide solvation and speciation in the aprotic lithium-sulfur batteries
title: Lithium polysulfide solvation and speciation in the aprotic lithium-sulfur batteries

description: Fingerprinting sulfur speciation in aprotic electrolytes is a key to understand fundamental chemistry and design well-performing lithium–sulfur (Li–S) batteries. Lithium polysulfide (LiPS) dissolution and deposition in ether-based electrolytes during redox reactions have been probed and established by spectroscopy and microscopy. However, detailed LiPS structure and solvation properties influenced by conventional and newly developed electrolytes remain elusive, which exert fundamental challenges and practical difficulties in decoupling battery performance from electrolyte volume. This perspective aims to provide timely information to uncover underlying mechanisms that rein in sulfur speciation by considering the charge density of LiPSs and the coordination strength of solvents/salts. The discussion starts with unlocking the baseline electrolyte formulation to investigate its role in LiPS formation and compatibility. After that, the term coordination strength is used instead of donor number and dielectric constant to describe interactions between solvents and LiPSs and to reveal LiPS structure evolution. This work is expected to encourage the discovery of new electrolyte working mechanisms to develop energy-dense and power-intensive Li–S batteries.
description: Fingerprinting sulfur speciation in aprotic electrolytes is a key to understand fundamental chemistry and design well-performing lithium–sulfur (Li–S) batteries. Lithium polysulfide (LiPS) dissolution and deposition in ether-based electrolytes during redox reactions have been probed and established by spectroscopy and microscopy. However, detailed LiPS structure and solvation properties influenced by conventional and newly developed electrolytes remain elusive, which exert fundamental challenges and practical difficulties in decoupling battery performance from electrolyte volume. This perspective aims to provide timely information to uncover underlying mechanisms that rein in sulfur speciation by considering the charge density of LiPSs and the coordination strength of solvents/salts. The discussion starts with unlocking the baseline electrolyte formulation to investigate its role in LiPS formation and compatibility. After that, the term coordination strength is used instead of donor number and dielectric constant to describe interactions between solvents and LiPSs and to reveal LiPS structure evolution. This work is expected to encourage the discovery of new electrolyte working mechanisms to develop energy-dense and power-intensive Li–S batteries.
DOI: 10.57760/sciencedb.partic.00022
title: DEM analysis of the influence of stirrer design on die filling with forced powder feeding
title: DEM analysis of the influence of stirrer design on die filling with forced powder feeding

description: Die filling is a critical stage during powder compaction, which can significantly affect the product quality and efficiency. In this paper, a forced feeder is introduced attempting to improve the filling performance of a lab-scale die filling system. The die filling process is analysed with a graphics processing units (GPU) enhanced discrete element method (DEM). Various stirrer designs are assessed for a wide range of process settings (i.e., stirrer speed, filling speed) to explore their influence on the die filling performance of free-flowing powder. Numerical results show that die filing with the novel helical-ribbon (i.e., type D) stirrer design exhibits the highest filling ratio, implying that it is the most robust stirrer design for the feeder configuration considered. Furthermore, die filling performance with the type D stirrer design is a function of the stirrer speed and the filling speed. A positive variation of filling ratio (ηf&gt;0%) can be ensured over the whole range of filling speed by adjusting the stirrer speed (i.e., increasing the stirrer speed). The approach used in this study can not only help understand how the stirrer design affects the die filling performance but also guide the optimization of feeder system and process settings.
description: Die filling is a critical stage during powder compaction, which can significantly affect the product quality and efficiency. In this paper, a forced feeder is introduced attempting to improve the filling performance of a lab-scale die filling system. The die filling process is analysed with a graphics processing units (GPU) enhanced discrete element method (DEM). Various stirrer designs are assessed for a wide range of process settings (i.e., stirrer speed, filling speed) to explore their influence on the die filling performance of free-flowing powder. Numerical results show that die filing with the novel helical-ribbon (i.e., type D) stirrer design exhibits the highest filling ratio, implying that it is the most robust stirrer design for the feeder configuration considered. Furthermore, die filling performance with the type D stirrer design is a function of the stirrer speed and the filling speed. A positive variation of filling ratio (ηf&gt;0%) can be ensured over the whole range of filling speed by adjusting the stirrer speed (i.e., increasing the stirrer speed). The approach used in this study can not only help understand how the stirrer design affects the die filling performance but also guide the optimization of feeder system and process settings.
DOI: 10.57760/sciencedb.psych.00306
title: Is collaborative judgements of learning more accurate? — A study on collaborative metamemory
title: 协作的学习判断更“冒险”吗？——协作元记忆的研究

description: he current research data consists of behavioral data, with the experimental program written in E-prime 2.0. The experimental materials were presented on a 16-inch display (resolution 2240×1400, refresh rate 60 Hz), and data were collected.The dataset includes:Raw Excel Data: This comprises four separate tables for individual judgment - individual extraction, individual judgment - collaborative extraction, collaborative judgment - individual extraction, and collaborative judgment - collaborative extraction. Each file records information about the original materials, corresponding scores, participant personal information, judgment performance, and recall performance. This section pertains to the raw information.Result Analysis: This section contains the analyzed results of the experiment, including organized Excel tables of the raw data, SPSS data and results, as well as the organized result tables.Experimental Programs: This section includes four experimental programs corresponding to the four levels between groups.
description: he current research data consists of behavioral data, with the experimental program written in E-prime 2.0. The experimental materials were presented on a 16-inch display (resolution 2240×1400, refresh rate 60 Hz), and data were collected.The dataset includes:Raw Excel Data: This comprises four separate tables for individual judgment - individual extraction, individual judgment - collaborative extraction, collaborative judgment - individual extraction, and collaborative judgment - collaborative extraction. Each file records information about the original materials, corresponding scores, participant personal information, judgment performance, and recall performance. This section pertains to the raw information.Result Analysis: This section contains the analyzed results of the experiment, including organized Excel tables of the raw data, SPSS data and results, as well as the organized result tables.Experimental Programs: This section includes four experimental programs corresponding to the four levels between groups.
DOI: 10.57760/sciencedb.partic.00024
title: Synthesis and applications of carbon nanospheres: A review
title: Synthesis and applications of carbon nanospheres: A review

description: The synthesis of carbon nanospheres (CNS) has developed rapidly in recent years, and they are widely used owing to the tunability of their porous structures and surface properties and the unique hydrodynamic advantages conferred by their spherical structures. This review summarizes the methods used to synthesize CNS and their applications in various fields. The review first describes the four main methods of CNS synthesis, i.e. the template, spray-drying, hydrothermal carbonization, Stöber and chemical vapor deposition method. Next, applications in the fields of energy storage, adsorption, biological medicine, and catalysis are expounded. Finally, some insights on the development and design of CNS are presented.
description: The synthesis of carbon nanospheres (CNS) has developed rapidly in recent years, and they are widely used owing to the tunability of their porous structures and surface properties and the unique hydrodynamic advantages conferred by their spherical structures. This review summarizes the methods used to synthesize CNS and their applications in various fields. The review first describes the four main methods of CNS synthesis, i.e. the template, spray-drying, hydrothermal carbonization, Stöber and chemical vapor deposition method. Next, applications in the fields of energy storage, adsorption, biological medicine, and catalysis are expounded. Finally, some insights on the development and design of CNS are presented.
DOI: 10.15468/dl.35wnq9
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/0001123-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.