cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.j00125.00063
title: Mott-Schottky heterojunction formation between Co and MoSe2 on carbon nanotubes towards superior hydrogen evolution
title: Mott-Schottky heterojunction formation between Co and MoSe2 on carbon nanotubes towards superior hydrogen evolution

description: All the data submitted for this is concerned by this paper “Mott-Schottky heterojunction formation between Co and MoSe2 on carbon nanotubes towards superior hydrogen evolution”, which is published on journal of “New carbon Materials”.
description: All the data submitted for this is concerned by this paper “Mott-Schottky heterojunction formation between Co and MoSe2 on carbon nanotubes towards superior hydrogen evolution”, which is published on journal of “New carbon Materials”.
DOI: 10.57760/sciencedb.12377
title: Survey Data on Factors Influencing the Willingness of Commercial Forest Households to Purchase Forest Insurance in Fujian Province
title: Survey Data on Factors Influencing the Willingness of Commercial Forest Households to Purchase Forest Insurance in Fujian Province

description: Owing to the increasing impact of global warming, the ecological function of forest resources has received increasing attention and importance, and the development of forest insurance as an important means of protecting forest resources has had a significant impact on realizing the goal of carbon neutrality. Although many studies have revealed relevant factors for participation in forest insurance, little attention has been paid to the factors influencing commercial forest insurance in China’s policy-based forest insurance. This study systematically explores the pathways influencing the willingness to purchase forest insurance for commercial forests using survey data from 402 commercial forest households in Fujian Province. The results of structural equation modeling indicate that four variables (subjective norms, policy perceptions, risk attitudes, and perceived behavioral control) have a positive and direct influence on the willingness to purchase forest insurance in commercial forests and that policy perceptions play a mediating role in risk attitudes on the willingness to purchase forest insurance in commercial forests. This suggests that in order to effectively protect China’s forest land resources, farmers should be incentivized to purchase forest insurance through targeted measures, such as policy support.
description: Owing to the increasing impact of global warming, the ecological function of forest resources has received increasing attention and importance, and the development of forest insurance as an important means of protecting forest resources has had a significant impact on realizing the goal of carbon neutrality. Although many studies have revealed relevant factors for participation in forest insurance, little attention has been paid to the factors influencing commercial forest insurance in China’s policy-based forest insurance. This study systematically explores the pathways influencing the willingness to purchase forest insurance for commercial forests using survey data from 402 commercial forest households in Fujian Province. The results of structural equation modeling indicate that four variables (subjective norms, policy perceptions, risk attitudes, and perceived behavioral control) have a positive and direct influence on the willingness to purchase forest insurance in commercial forests and that policy perceptions play a mediating role in risk attitudes on the willingness to purchase forest insurance in commercial forests. This suggests that in order to effectively protect China’s forest land resources, farmers should be incentivized to purchase forest insurance through targeted measures, such as policy support.
DOI: 10.5281/zenodo.15280694
title: Practical Assessment of the Architecture Refactoring Helper: A Case Study on an Industrial Commercial Project
DOI: 10.5281/zenodo.15280693
title: Practical Assessment of the Architecture Refactoring Helper: A Case Study on an Industrial Commercial Project
DOI: 10.5281/zenodo.15291397
title: Practical Assessment of the Architecture Refactoring Helper: A Case Study on an Industrial Commercial Project
DOI: 10.57760/sciencedb.j00125.00061
title: Dataset for the article “2D montmorillonite/carbon nanotubes interconnected porous network enhanced polysulfide shuttling inhibition”
title: Dataset for the article “2D montmorillonite/carbon nanotubes interconnected porous network enhanced polysulfide shuttling inhibition”

description: This dataset contains the data of material characterization and electrochemical testing in the article "2D montmorillonite/ carbon nanotubes interconnected porous network enhanced polysulfide shuttling inhibition", all the graphs are in "Origin" format and need to be opened with Origin software.Discharged and charged galvanostatic of the batteries was performed on the LAND or NEWARE instrument. Cyclic voltammetry (CV) and electrochemical impedance tests (10 mHz to 1000 kHz) were conducted on a CHI604e electrochemical workstation.The deposition and dissolution tests of Li2S were also performed on the NEWARE system.
description: This dataset contains the data of material characterization and electrochemical testing in the article "2D montmorillonite/ carbon nanotubes interconnected porous network enhanced polysulfide shuttling inhibition", all the graphs are in "Origin" format and need to be opened with Origin software.Discharged and charged galvanostatic of the batteries was performed on the LAND or NEWARE instrument. Cyclic voltammetry (CV) and electrochemical impedance tests (10 mHz to 1000 kHz) were conducted on a CHI604e electrochemical workstation.The deposition and dissolution tests of Li2S were also performed on the NEWARE system.
DOI: 10.57760/sciencedb.12393
title: Major Fine Arts Comparison of Various National Courses
title: Major Fine Arts Comparison of Various National Courses
DOI: 10.57760/sciencedb.12403
title: Study on Influence Factors of High Stability Temperature Control by AC Bridge in 5~25 K Deep-Low Temperature Region
title: 5~25 K 深低温区交流电桥高稳定控温影响因素研究

description: Abstract: Temperature control stability is one of the key factors affecting the uncertainty of thermodynamic temperature measurement in deep low-temperature regions, the reliability of international comparison of thermodynamic temperatures, and the level of temperature calibration. In order to explore the influencing factors of high stability temperature control in deep low-temperature areas, based on previous research, a temperature control experimental plan for thermometer lead resistance and standard resistance was designed. Relevant temperature control experiments were conducted at 5K and 25K to quantitatively evaluate the disturbance effect of thermometer lead resistance and standard resistance on the average temperature measurement value and temperature control stability in deep low-temperature areas. The results show that the average temperature measurement value is almost unaffected by the lead resistance and standard resistance; The temperature control stability will vary with the lead resistance and standard resistance. The lower the lead resistance, the higher the temperature control stability in deep low-temperature areas, and there is an optimal matching standard resistance. The research results can provide reference for constructing a highly stable low-temperature working environment in deep low-temperature areas. 
description: Abstract: Temperature control stability is one of the key factors affecting the uncertainty of thermodynamic temperature measurement in deep low-temperature regions, the reliability of international comparison of thermodynamic temperatures, and the level of temperature calibration. In order to explore the influencing factors of high stability temperature control in deep low-temperature areas, based on previous research, a temperature control experimental plan for thermometer lead resistance and standard resistance was designed. Relevant temperature control experiments were conducted at 5K and 25K to quantitatively evaluate the disturbance effect of thermometer lead resistance and standard resistance on the average temperature measurement value and temperature control stability in deep low-temperature areas. The results show that the average temperature measurement value is almost unaffected by the lead resistance and standard resistance; The temperature control stability will vary with the lead resistance and standard resistance. The lower the lead resistance, the higher the temperature control stability in deep low-temperature areas, and there is an optimal matching standard resistance. The research results can provide reference for constructing a highly stable low-temperature working environment in deep low-temperature areas.
DOI: 10.57760/sciencedb.j00125.00075
title: A highly selective and sensitive electrochemical sensor based on ion-imprinted magnetic carbon nanospheres for Cu(II) detection
title: A highly selective and sensitive electrochemical sensor based on ion-imprinted magnetic carbon nanospheres for Cu(II) detection

description: For the detection of Cu(II), an electrochemical sensor based on ion imprinted polymers as recognition element is prepared by combining surface imprinting with electrochemical polymerization deposition. The sensor is modified by ion-imprinted magnetic carbon nanospheres with specific selectivity and sensitivity towards Cu(II). The morphology and structure of the obtained imprinted materials are characterized and analysed. The electrochemical performance of the sensors shows that, compared with non-imprinted electrode and bare electrode, the imprinted electrode has stronger selectivity and higher sensitivity towards Cu(II). With the relative concentration of Cu(II) changing from 10-6 to 10-10 mol L-1, the detection limit of the sensor is as low as 5.138×10-16 mol L-1 (S/N=3). Additionally, the sensor features good anti-interference, reproducibility, and stability, which provides a feasible strategy for electrochemical detection of metal ions.
description: For the detection of Cu(II), an electrochemical sensor based on ion imprinted polymers as recognition element is prepared by combining surface imprinting with electrochemical polymerization deposition. The sensor is modified by ion-imprinted magnetic carbon nanospheres with specific selectivity and sensitivity towards Cu(II). The morphology and structure of the obtained imprinted materials are characterized and analysed. The electrochemical performance of the sensors shows that, compared with non-imprinted electrode and bare electrode, the imprinted electrode has stronger selectivity and higher sensitivity towards Cu(II). With the relative concentration of Cu(II) changing from 10-6 to 10-10 mol L-1, the detection limit of the sensor is as low as 5.138×10-16 mol L-1 (S/N=3). Additionally, the sensor features good anti-interference, reproducibility, and stability, which provides a feasible strategy for electrochemical detection of metal ions.
DOI: 10.57760/sciencedb.12408
title: Virtual reality-based spatial navigation and Brain magnetic resonance scan data set
title: 基于虚拟现实的空间导航及头颅磁共振数据集

description: Data collection time: 2020-2022.Collection method and parameters:Spatial navigation data collection: Participants wore VR glasses and walked in a safe space of 3.5m2 to record the time and distance to reach the target location. Brain magnetic resonance scanning data acquisition: Philips 3.0T equipment, 8-channel cranial coil, 3D-T1 weighted images were acquired, scanning parameters included voxel size 1.0× 1.0×1.0mm, TR=7.0 TE=3.2, matrix size, 256 × 256, slice thickness, 1 mm, scanning time 4 minutes and 59 seconds. Use Free-Surfer 6.0 software to calculate entorhinal cortex thickness, gray matter volume, white matter volume and surface area, and hippocampal volume. Free-Surfer offers a variety of cortical measurements through automated segmentation.The digital breadth test is a test scale.The tabular data is the basic clinical information and numerical breadth test averages of the 60 people who participated in the test.
description: Data collection time: 2020-2022.Collection method and parameters:Spatial navigation data collection: Participants wore VR glasses and walked in a safe space of 3.5m2 to record the time and distance to reach the target location. Brain magnetic resonance scanning data acquisition: Philips 3.0T equipment, 8-channel cranial coil, 3D-T1 weighted images were acquired, scanning parameters included voxel size 1.0× 1.0×1.0mm, TR=7.0 TE=3.2, matrix size, 256 × 256, slice thickness, 1 mm, scanning time 4 minutes and 59 seconds. Use Free-Surfer 6.0 software to calculate entorhinal cortex thickness, gray matter volume, white matter volume and surface area, and hippocampal volume. Free-Surfer offers a variety of cortical measurements through automated segmentation.The digital breadth test is a test scale.The tabular data is the basic clinical information and numerical breadth test averages of the 60 people who participated in the test.
DOI: 10.57760/sciencedb.12414
title: Required Code for the Paper
title: Required Code for the Paper

description: Data contains codes for the paper submitted to the journal.
description: Data contains codes for the paper submitted to the journal.
DOI: 10.57760/sciencedb.j00125.00087
title: A one-pot route to multi-metal sulfide/carbon composite with enhanced lithium-ion storage capability
title: 一锅法合成多金属硫化物/碳复合材料及其储锂性能

description: Based on virtues of high electrochemical activity, good structural stability, abundant active sites, and beneficial synergies, multi-metal sulfide/carbon (MMS/C) composites are of tremendous interest in diverse fields, including catalysis, energy, sensing, and environmental science. However, the cumbersome, inefficient, and environmentally unfriendly synthesis approach of MMS/C composites hinders their practical application. Herein, we report a straightforward and universal route to produce MMS/C composites. This route based on homogeneous multi-phase interface engineering enables the realization of 14 kinds of MMS/C composites presented as examples with well-organized composite structures, tunable components, and dense heterointerfaces. Thanks to their composition and structure benefits, the resultant typical MMS/C composite exhibits efficient, fast, and persistent lithium-ion storage performances. The as-prepared ZnS-Co9S8/C composite anode delivered a remarkable rate performance with capacity retention of 54% at a 20-fold current density, and an ascendant invertible capacity of 651 mAh·g−1 at 0.1 A·g−1 after 600 cycles. This work contributes percipience for design philosophies of MMS/C composites and carves out a productive way for their simplified fabrication.
description: Based on virtues of high electrochemical activity, good structural stability, abundant active sites, and beneficial synergies, multi-metal sulfide/carbon (MMS/C) composites are of tremendous interest in diverse fields, including catalysis, energy, sensing, and environmental science. However, the cumbersome, inefficient, and environmentally unfriendly synthesis approach of MMS/C composites hinders their practical application. Herein, we report a straightforward and universal route to produce MMS/C composites. This route based on homogeneous multi-phase interface engineering enables the realization of 14 kinds of MMS/C composites presented as examples with well-organized composite structures, tunable components, and dense heterointerfaces. Thanks to their composition and structure benefits, the resultant typical MMS/C composite exhibits efficient, fast, and persistent lithium-ion storage performances. The as-prepared ZnS-Co9S8/C composite anode delivered a remarkable rate performance with capacity retention of 54% at a 20-fold current density, and an ascendant invertible capacity of 651 mAh·g−1 at 0.1 A·g−1 after 600 cycles. This work contributes percipience for design philosophies of MMS/C composites and carves out a productive way for their simplified fabrication.
DOI: 10.57760/sciencedb.j00133.00365
title: Multimodal_rumor_data
title: Multimodal_rumor_data

description: In this paper, we use partial data from the image-verification-corpus dataset, including posts, images and users' information of mediaeval2015 and mediaeval 2016. You can download the complete dataset from https://github.com/MKLab-ITI/image-verification-corpus/tree/master/.
description: In this paper, we use partial data from the image-verification-corpus dataset, including posts, images and users' information of mediaeval2015 and mediaeval 2016. You can download the complete dataset from https://github.com/MKLab-ITI/image-verification-corpus/tree/master/.
DOI: 10.57760/sciencedb.j00125.00089
title: The DataSet of 3D porous NiCo2(CO3)3/RGO with heterogeneous interfaces for high-efficiency microwave absorption
title: 用于高效微波吸收的3D多孔异质界面型NiCo2(CO3)3/RGO的数据集

description: The innovative microstructure design and suitable multicomponent strategy are still challenging for advanced electromagnetic absorbing materials (EAMs) with strong absorption and wide effective absorption bandwidth (EAB). Here, the self-assembly 3D mesh structure of NiCo2(CO3)3/RGO (NCR) aerogels was prepared by a simple hydrothermal reduction. The unique microstructure and multicomponent not only solve the physical agglomeration of NiCo2(CO3)3 particles but also adjust the electromagnetic parameters to improve impedance matching and attenuation ability. The high electromagnetic wave absorption (EMA) performance can be achieved by the synergistic effect of the interfacial matrix and macroscopic 3D interconnected mesh structures, the minimal reflection loss (RLmin) was -58.5 dB at 2.3 mm, and the EAB was 6.5 GHz. The excellent EMA performance of NiCo2 (CO3)3/RGO aerogels can be attributed to the multiple reflection, scattering, and relaxation process of 3D porous structure and strong interface polarization of the interfacial matrix.The data set includes synthesis steps, XRD, XPS, SEM, composite permittivity, composite permeability, minimum reflection loss, impedance matching and mechanism summary.
description: The innovative microstructure design and suitable multicomponent strategy are still challenging for advanced electromagnetic absorbing materials (EAMs) with strong absorption and wide effective absorption bandwidth (EAB). Here, the self-assembly 3D mesh structure of NiCo2(CO3)3/RGO (NCR) aerogels was prepared by a simple hydrothermal reduction. The unique microstructure and multicomponent not only solve the physical agglomeration of NiCo2(CO3)3 particles but also adjust the electromagnetic parameters to improve impedance matching and attenuation ability. The high electromagnetic wave absorption (EMA) performance can be achieved by the synergistic effect of the interfacial matrix and macroscopic 3D interconnected mesh structures, the minimal reflection loss (RLmin) was -58.5 dB at 2.3 mm, and the EAB was 6.5 GHz. The excellent EMA performance of NiCo2 (CO3)3/RGO aerogels can be attributed to the multiple reflection, scattering, and relaxation process of 3D porous structure and strong interface polarization of the interfacial matrix.The data set includes synthesis steps, XRD, XPS, SEM, composite permittivity, composite permeability, minimum reflection loss, impedance matching and mechanism summary.
DOI: 10.15468/dl.7gdzzc
title: Occurrence Download

description: A dataset containing 25092 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Coleoptera"
 ]
}

 The dataset includes 25092 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000824-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.j00003.00009
title: Hardness detection based on flexible sensor
title: 基于柔性传感器的硬度检测

description: The flexible sensor is embedded into a self-made pneumatic software hand through silicone pouring method, and the software hand is controlled to grasp the test object, and the hardness of the object is determined by the change in resistance. The experimental process is as follows: fix the soft hand and robotic arm together, and use a 3D printing bracket to fix the tested object on the optical platform; Control the robotic arm to move the soft hand to a position suitable for grasping; Apply a fixed amount of air pressure (set at 35kPa) to the soft hand to achieve a fixed load effect; Maintain the air pressure for 4 seconds and use the acquisition card to collect the waveform of sensor voltage changes. Divide the collected data into four categories according to the type of object being tested, with a total of 120 sets of data for each category. Among them, 100 sets are used as the training set and 20 sets are used as the test set. Use the CatBoost algorithm to analyze the data. The data is collected using a collection card, using only the CH1 channel, where CH1 represents the voltage signal of the sensor collected in the circuit, in volts. 
description: The flexible sensor is embedded into a self-made pneumatic software hand through silicone pouring method, and the software hand is controlled to grasp the test object, and the hardness of the object is determined by the change in resistance. The experimental process is as follows: fix the soft hand and robotic arm together, and use a 3D printing bracket to fix the tested object on the optical platform; Control the robotic arm to move the soft hand to a position suitable for grasping; Apply a fixed amount of air pressure (set at 35kPa) to the soft hand to achieve a fixed load effect; Maintain the air pressure for 4 seconds and use the acquisition card to collect the waveform of sensor voltage changes. Divide the collected data into four categories according to the type of object being tested, with a total of 120 sets of data for each category. Among them, 100 sets are used as the training set and 20 sets are used as the test set. Use the CatBoost algorithm to analyze the data. The data is collected using a collection card, using only the CH1 channel, where CH1 represents the voltage signal of the sensor collected in the circuit, in volts.
DOI: 10.57760/sciencedb.12456
title: Latin sampling data and simulation data
title: Latin sampling data and simulation data

description: This dataset provides temperature data for parameters such as maximum temperature, mugwort diameter, distance, and moisture content, as well as data from Latin cube sampling. 
description: This dataset provides temperature data for parameters such as maximum temperature, mugwort diameter, distance, and moisture content, as well as data from Latin cube sampling.
DOI: 10.57760/sciencedb.12457
title: Genome assembly of Cinnamomum mollifolium
title: Genome assembly of Cinnamomum mollifolium

description: By using PacBio long reads and Hi C sequencing data, we assembled the gene of Cinnamomum mollifolium 
description: By using PacBio long reads and Hi C sequencing data, we assembled the gene of Cinnamomum mollifolium
DOI: 10.57760/sciencedb.12476
title: Consumer Behavior and Preferences in the Consumption of Table Olives
title: Consumer Behavior and Preferences in the Consumption of Table Olives

description: This questionnaire was designed by Dr. Asaad Ali Karam and Dr. Rezgar Mostafa Mohammed from the University of Duhok to conduct a consumer analysis of olive products in Iraq. The only objective of this survey is to help the olive producers overcome the marketing challenges hoping that they can make agriculture their main source of income.
description: This questionnaire was designed by Dr. Asaad Ali Karam and Dr. Rezgar Mostafa Mohammed from the University of Duhok to conduct a consumer analysis of olive products in Iraq. The only objective of this survey is to help the olive producers overcome the marketing challenges hoping that they can make agriculture their main source of income.