cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.17503
title: Effect of Formononetin on Type 2 Diabetes Mice Induced by High-Fat Diet Combining with Streptozotocin Injection
title: Effect of Formononetin on Type 2 Diabetes Mice Induced by High-Fat Diet Combining with Streptozotocin Injection

description: Objective: To investigate the impacts of formononetin on a murine model of type 2 diabetes mellitus (T2DM) and conduct a preliminary exploration of the underlying mechanistic pathways.Methods: The T2DM mice model was induced by both streptozotocin (STZ) administration and a high-fat diet (HFD). A blood glucose meter measured Fasting blood glucose levels, and corresponding diagnostic enzymatic kits were utilized to assess the effect of formononetin on T2DM mice. An insulin resistance model was established in HepG2 cells to determine the antioxidant ability of formononetin.Results: Formononetin reduced elevated diet intake, fasting serum glucose, TG, TC, and LDL-C levels. Formononetin has relatively strong antioxidant potential, can resist insulin resistance, and demonstrates a suppressing ability to release NO and IL-1β in LPS-activated macrophages.Conclusion: Formononetin possesses a significant antidiabetic ability in T2DM mice, possibly resulting from its ability to protect islet cells, have anti-insulin resistance, be antioxidant, and have anti-inflammation.
description: Objective: To investigate the impacts of formononetin on a murine model of type 2 diabetes mellitus (T2DM) and conduct a preliminary exploration of the underlying mechanistic pathways.Methods: The T2DM mice model was induced by both streptozotocin (STZ) administration and a high-fat diet (HFD). A blood glucose meter measured Fasting blood glucose levels, and corresponding diagnostic enzymatic kits were utilized to assess the effect of formononetin on T2DM mice. An insulin resistance model was established in HepG2 cells to determine the antioxidant ability of formononetin.Results: Formononetin reduced elevated diet intake, fasting serum glucose, TG, TC, and LDL-C levels. Formononetin has relatively strong antioxidant potential, can resist insulin resistance, and demonstrates a suppressing ability to release NO and IL-1β in LPS-activated macrophages.Conclusion: Formononetin possesses a significant antidiabetic ability in T2DM mice, possibly resulting from its ability to protect islet cells, have anti-insulin resistance, be antioxidant, and have anti-inflammation.
DOI: 10.57760/sciencedb.j00140.00050
title: The actuation prediction formula of macro fiber composites applied in cantilever structure
title: 压电纤维复合材料对悬臂结构的作动力公式

description: This dataset is derived from the article "Research on the Action Behavior of Piezoelectric Fiber Composite Materials on Cantilever Structures", and the formula for the action force (Equation 16) is derived 
description: This dataset is derived from the article "Research on the Action Behavior of Piezoelectric Fiber Composite Materials on Cantilever Structures", and the formula for the action force (Equation 16) is derived
DOI: 10.57760/sciencedb.j00213.00021
title: The data of the article“Automatic fabrication system of optical micro-/nanofiber based on deep learning”
title: 《基于深度学习的微纳光纤自动制备系统》文章关联数据

description: This article utilizes image segmentation methods in computer vision to create a high-quality multi-scale micro/nanofiber dataset. The YOLOv8-FD algorithm based on small object detection improvement is used to automatically detect the diameter of micro/nanofibers. The system can achieve measurement and automated preparation for micro/nano fiber with a diameter of 462 nm − 125 μm within an error of 2.95%, and with the increase of fiber diameter, the error gradually decreases. The optical imaging resolution of a single pixel in the system is 65.97 nm, and the average detection time is 9.6 ms. This work is suitable for high-precision real-time measurement and automatic precise preparation of micro/nano fibers. Figure 1 shows the network structure of micro/nanofiber diameter detection based on deep learning. Figure 2 shows the automatic preparation system of micro/nanofiber based on deep learning. Figure 3 shows the original image of Loss and mAP changing with epoch during the training process, where the opju file can be opened using Origin software. Figure 4 shows the visualization and results of the deep learning model. Figure 5 shows the comparison of the segmentation results of the original YOLOv8 and YOLOv8-FD micro/nano fiber images. Figure 6 shows the AFM scanning image of the micro/nano fiber. The ibw file can be opened using Gwyddion. 
description: This article utilizes image segmentation methods in computer vision to create a high-quality multi-scale micro/nanofiber dataset. The YOLOv8-FD algorithm based on small object detection improvement is used to automatically detect the diameter of micro/nanofibers. The system can achieve measurement and automated preparation for micro/nano fiber with a diameter of 462 nm − 125 μm within an error of 2.95%, and with the increase of fiber diameter, the error gradually decreases. The optical imaging resolution of a single pixel in the system is 65.97 nm, and the average detection time is 9.6 ms. This work is suitable for high-precision real-time measurement and automatic precise preparation of micro/nano fibers. Figure 1 shows the network structure of micro/nanofiber diameter detection based on deep learning. Figure 2 shows the automatic preparation system of micro/nanofiber based on deep learning. Figure 3 shows the original image of Loss and mAP changing with epoch during the training process, where the opju file can be opened using Origin software. Figure 4 shows the visualization and results of the deep learning model. Figure 5 shows the comparison of the segmentation results of the original YOLOv8 and YOLOv8-FD micro/nano fiber images. Figure 6 shows the AFM scanning image of the micro/nano fiber. The ibw file can be opened using Gwyddion.
DOI: 10.57760/sciencedb.17507
title: Bumblebees' buzz pollination on lousewort flowers
title: Bumblebees' buzz pollination on lousewort flowers

description: This vedio shows a typical buzz pollination of a bumblebee on beaked louseword flowers.
description: This vedio shows a typical buzz pollination of a bumblebee on beaked louseword flowers.
DOI: 10.57760/sciencedb.17513
title: Experimental data
title: 实验数据

description: 本文档包括有关受试者在空中的高度、地面反作用力、功率和增长率的原始数据
description: 本文档包括有关受试者在空中的高度、地面反作用力、功率和增长率的原始数据
DOI: 10.57760/sciencedb.space.01880
title: Radiation dose rate and particle radiation data of space stations
title: 空间站辐射剂量率及粒子辐射数据

description: The measured data is from the Chinese space station, including radiation dose rate data during two typical periods, January 9 and April 27, 2023, as well as electron integrated flux data&gt;400keV and proton integrated flux data&gt;3MeV.
description: The measured data is from the Chinese space station, including radiation dose rate data during two typical periods, January 9 and April 27, 2023, as well as electron integrated flux data&gt;400keV and proton integrated flux data&gt;3MeV.
DOI: 10.15468/dl.e9asmy
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lycopodiophyta"
 ]
}

 The dataset includes 9 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000974-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.17517
title: Information on the treatment process
title: Information on the treatment process

description: The database was created to show editors as well as reviewers the methods to be demonstrated in the manuscript as well as the processing and authenticity of the data. We regret that we do not have more than 17,000 textual data available, as this would require a deeper co-operation with your journal.
description: The database was created to show editors as well as reviewers the methods to be demonstrated in the manuscript as well as the processing and authenticity of the data. We regret that we do not have more than 17,000 textual data available, as this would require a deeper co-operation with your journal.
DOI: 10.57760/sciencedb.17520
title: 16m resolution water conservation data set of water conservation area in Yellow River Source Region
title: 黄河上游水源涵养区16m分辨率水源涵养数据集

description: Based on remote sensing land cove, the dataset collected and organized multi-source data including remote sensing imagery, climate data and environmental data for the Yellow River Source Region. The water conservation dataset with a spatial resolution 0f 16 meters was generated through the water balance model.
description: Based on remote sensing land cove, the dataset collected and organized multi-source data including remote sensing imagery, climate data and environmental data for the Yellow River Source Region. The water conservation dataset with a spatial resolution 0f 16 meters was generated through the water balance model.
DOI: 10.57760/sciencedb.17521
title: Genetic and Neuronal Basis for Spatial-Frequency-Dependent Facial Emotion Perception in Humans and Macaques: An Evolutionarily Endowed Mechanism
title: Genetic and Neuronal Basis for Spatial-Frequency-Dependent Facial Emotion Perception in Humans and Macaques: An Evolutionarily Endowed Mechanism

description: Dataset for "Spatial-Frequency-Dependent Facial Emotion Perception" project. This dataset includes the data of twin behavioral study, twin MRI study and monkey study.
description: Dataset for "Spatial-Frequency-Dependent Facial Emotion Perception" project. This dataset includes the data of twin behavioral study, twin MRI study and monkey study.
DOI: 10.57760/sciencedb.17524
title: CAS-WX2023PY-0101 Project data transfer
title: CAS-WX2023PY-0101项目数据汇交

description: This is the data collection for the Chinese Academy of Sciences Network Security and Informatization Special Application Demonstration Project - Cultivation Project: Artificial Intelligence Assistant Software and Platform for Monocrystalline Silicon Processing Technology for Integrated Circuits, which contains all source codes and some demo datasets of the project 
description: This is the data collection for the Chinese Academy of Sciences Network Security and Informatization Special Application Demonstration Project - Cultivation Project: Artificial Intelligence Assistant Software and Platform for Monocrystalline Silicon Processing Technology for Integrated Circuits, which contains all source codes and some demo datasets of the project
DOI: 10.57760/sciencedb.j00189.00045
title: Research on the Dynamic Compressibility of Polyurethane Microcellular Elastomer and its Application for Impact Resistance
title: Research on the Dynamic Compressibility of Polyurethane Microcellular Elastomer and its Application for Impact Resistance

description: This dataset is for the dynamic compressibility of polyurethane microcellular elastomer and its application in impact resistance. It includes a drop test photo, FTIR results, SEM photos, DMA results, one-stage light-gas gun test data, as well as simulation analyses and experimental results on drop acceleration.
description: This dataset is for the dynamic compressibility of polyurethane microcellular elastomer and its application in impact resistance. It includes a drop test photo, FTIR results, SEM photos, DMA results, one-stage light-gas gun test data, as well as simulation analyses and experimental results on drop acceleration.
DOI: 10.57760/sciencedb.17535
title: Reference data for the article 'Determining the differences in O3-NOx-VOCs sensitivity between sauna and roast days‘
title: Reference data for the article 'Determining the differences in O3-NOx-VOCs sensitivity between sauna and roast days‘

description: Meteorological, micrometeorological, pollutant, and model input data used in the article's research
description: Meteorological, micrometeorological, pollutant, and model input data used in the article's research
DOI: 10.15468/dl.5nhn93
title: Occurrence Download

description: A dataset containing 51403 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vespula germanica (Fabricius, 1793)"
 ]
}

 The dataset includes 51403 records from 486 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000967-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.17534
title: data set of macroinvertebrates in the Dayang River based on traditional morphological survey and environmental DNA survey in June 2023
title: data set of macroinvertebrates in the Dayang River based on traditional morphological survey and environmental DNA survey in June 2023

description: This dataset comprises data obtained from traditional morphological surveys and environmental DNA surveys conducted in the Dayang River basin in June 2023. The 'directories' folder contains species lists obtained from each method, the 'functional diversity' folder contains functional trait data and trait dictionaries calculated from both methods, the 'geographic position' folder contains the latitude and longitude of sampling points and maps, the 'result' folder contains R code, data, and results from both methods, and the 'raw data' folder contains raw data returned from environmental DNA surveys after analysis.
description: This dataset comprises data obtained from traditional morphological surveys and environmental DNA surveys conducted in the Dayang River basin in June 2023. The 'directories' folder contains species lists obtained from each method, the 'functional diversity' folder contains functional trait data and trait dictionaries calculated from both methods, the 'geographic position' folder contains the latitude and longitude of sampling points and maps, the 'result' folder contains R code, data, and results from both methods, and the 'raw data' folder contains raw data returned from environmental DNA surveys after analysis.
DOI: 10.57760/sciencedb.17539
title: Why we play music, investigate the variables that affect taking a music class
title: Why we play music, investigate the variables that affect taking a music class

description: Attitude, practice strategy and perceived stress are important factors for the player's proficiency in playing musical instruments. In order to prove the robustness of the study, we have adopted two rounds of repeated questionnaires covering three dimensions: Attitudes towards practice, Organization of practice and Perceived Stress. The results show that (1) Attitude is the basis and necessary condition to become a performance expert, so music education should first pay attention to and cultivate their correct performance attitude. (2) After becoming a performance expert, although he can face the pressure objectively, with control the pressure within a certain range. But how to overcome tension and keep calm is another profound topic.
description: Attitude, practice strategy and perceived stress are important factors for the player's proficiency in playing musical instruments. In order to prove the robustness of the study, we have adopted two rounds of repeated questionnaires covering three dimensions: Attitudes towards practice, Organization of practice and Perceived Stress. The results show that (1) Attitude is the basis and necessary condition to become a performance expert, so music education should first pay attention to and cultivate their correct performance attitude. (2) After becoming a performance expert, although he can face the pressure objectively, with control the pressure within a certain range. But how to overcome tension and keep calm is another profound topic.
DOI: 10.57760/sciencedb.j00003.00024
title: Robotic Grasping Based on 6D Pose Estimation from Single View
title: 单视图6D位姿估计的机器人抓取

description: In real-world scenarios, the diversity of object types and random placement can lead to difficulties in object recognition for intelligent robots, resulting in a low success rate in grasping. A method for robot grasping in complex situations such as occlusion, multiple targets of the same type, and stacking is proposed to address this issue. A single view 6D pose estimation network with encoder decoder structure was designed based on channel attention mechanism ECA and residual network ResNet; A 6D pose estimation and grasping training dataset was generated using a synthetic dataset production method; The robot grasping control module controls the UR5 robot to achieve intelligent grasping based on the output of the 6D pose estimation network and the results of hand eye calibration. The experimental results on Linemod, YCB Video, and the synthesized dataset in this paper show that the average grasping success rate of our method reaches 95%, which can meet the needs of robot grasping. 
description: In real-world scenarios, the diversity of object types and random placement can lead to difficulties in object recognition for intelligent robots, resulting in a low success rate in grasping. A method for robot grasping in complex situations such as occlusion, multiple targets of the same type, and stacking is proposed to address this issue. A single view 6D pose estimation network with encoder decoder structure was designed based on channel attention mechanism ECA and residual network ResNet; A 6D pose estimation and grasping training dataset was generated using a synthetic dataset production method; The robot grasping control module controls the UR5 robot to achieve intelligent grasping based on the output of the 6D pose estimation network and the results of hand eye calibration. The experimental results on Linemod, YCB Video, and the synthesized dataset in this paper show that the average grasping success rate of our method reaches 95%, which can meet the needs of robot grasping.
DOI: 10.57760/sciencedb.j00003.00026
title: Robotic Grasping Based on 6D Pose Estimation from Single View
title: 单视图6D位姿估计的机器人抓取

description:  In real-world scenarios, the diversity of object types and random placement can lead to difficulties in object recognition for intelligent robots, resulting in a low success rate in grasping. A method for robot grasping in complex situations such as occlusion, multiple targets of the same type, and stacking is proposed to address this issue. A single view 6D pose estimation network with encoder decoder structure was designed based on channel attention mechanism ECA and residual network ResNet; A 6D pose estimation and grasping training dataset was generated using a synthetic dataset production method; The robot grasping control module controls the UR5 robot to achieve intelligent grasping based on the output of the 6D pose estimation network and the results of hand eye calibration. The experimental results on Linemod, YCB Video, and the synthesized dataset in this paper show that the average grasping success rate of our method reaches 95%, which can meet the needs of robot grasping. 
description:  In real-world scenarios, the diversity of object types and random placement can lead to difficulties in object recognition for intelligent robots, resulting in a low success rate in grasping. A method for robot grasping in complex situations such as occlusion, multiple targets of the same type, and stacking is proposed to address this issue. A single view 6D pose estimation network with encoder decoder structure was designed based on channel attention mechanism ECA and residual network ResNet; A 6D pose estimation and grasping training dataset was generated using a synthetic dataset production method; The robot grasping control module controls the UR5 robot to achieve intelligent grasping based on the output of the 6D pose estimation network and the results of hand eye calibration. The experimental results on Linemod, YCB Video, and the synthesized dataset in this paper show that the average grasping success rate of our method reaches 95%, which can meet the needs of robot grasping.
DOI: 10.57760/sciencedb.17543
title: List Experiment
title: List Experiment

description: Data set from the list experiment.
description: Data set from the list experiment.
DOI: 10.57760/sciencedb.17544
title: The Impact of Cultural Context on International Trade: An Empirical Analysis
title: The Impact of Cultural Context on International Trade: An Empirical Analysis

description: This study examined the impact of cultural context and linguistic distance on bilateral trade, employing a modified version of the gravity model. The analysis utilized trade data from 117 countries, encompassing 6,623 trading pairs. Bilateral trade was estimated as a function of cultural context, linguistic distance, along with other relevant economic and geographic factors. The findings revealed that linguistic distance does not exert a statistically significant impact on bilateral trade; however, the analysis demonstrated that cultural context plays a significant role in shaping bilateral trade patterns. Specifically, belonging to the same cultural context was found to decrease bilateral trade, while increasing cultural context distance between trading countries was observed to promote trade. 
description: This study examined the impact of cultural context and linguistic distance on bilateral trade, employing a modified version of the gravity model. The analysis utilized trade data from 117 countries, encompassing 6,623 trading pairs. Bilateral trade was estimated as a function of cultural context, linguistic distance, along with other relevant economic and geographic factors. The findings revealed that linguistic distance does not exert a statistically significant impact on bilateral trade; however, the analysis demonstrated that cultural context plays a significant role in shaping bilateral trade patterns. Specifically, belonging to the same cultural context was found to decrease bilateral trade, while increasing cultural context distance between trading countries was observed to promote trade.