cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.12359
title: Examining the Effectiveness of Storytelling Pedagogical Approach in Closing the Financial Skills Gap and Improving Students Outcomes in Higher Education
title: Examining the Effectiveness of Storytelling Pedagogical Approach in Closing the Financial Skills Gap and Improving Students Outcomes in Higher Education

description: This is data used in the paper titled Examining the Effectiveness of Storytelling Pedagogical Approach in Closing the Financial Skills Gap and Improving Students Outcomes in Higher Education.
description: This is data used in the paper titled Examining the Effectiveness of Storytelling Pedagogical Approach in Closing the Financial Skills Gap and Improving Students Outcomes in Higher Education.
DOI: 10.57760/sciencedb.12362
title: A data set of complementary medicine product use among breastfeeding women
title: A data set of complementary medicine product use among breastfeeding women

description: A data set of complementary medicine product use among breastfeeding women
description: A data set of complementary medicine product use among breastfeeding women
DOI: 10.57760/sciencedb.j00139.00078
title: Investigate the off-target of the CRISPR-CasRX system in the silkworm
title: Investigate the off-target of the CRISPR-CasRX system in the silkworm

description: CRISPR-Cas13-mediated RNA editing in the silkworm Bombyx mori
description: CRISPR-Cas13-mediated RNA editing in the silkworm Bombyx mori
DOI: 10.57760/sciencedb.space.01338
title: Statistical dataset of solar-Interplanetary disturbance events
title: Statistical dataset of solar-Interplanetary disturbance events

description: Events from January 1996 to December 2019 were selected based on the Historical Data on the Web, covering solarCycles 23 and 24.
description: Events from January 1996 to December 2019 were selected based on the Historical Data on the Web, covering solarCycles 23 and 24.
DOI: 10.57760/sciencedb.o00133.00010
title: The 'different' pathological mechanisms underlying the 'similar' core clinical manifestation—understanding children with attention-deficit/hyperactivity disorder with the human brain chart
title: The 'different' pathological mechanisms underlying the 'similar' core clinical manifestation—understanding children with attention-deficit/hyperactivity disorder with the human brain chart

description: Poster in The 9th World Congress on ADHD - Modernising the concept of ADHD 18 - 21 May 2023 | RAI Amsterdam
description: Poster in The 9th World Congress on ADHD - Modernising the concept of ADHD 18 - 21 May 2023 | RAI Amsterdam
DOI: 10.57760/sciencedb.12369
title: experimental data
title: experimental data

description: Original experimental data
description: Original experimental data
DOI: 10.57760/sciencedb.12371
title: A dataset of the research of Learning Feedback based on LLMs in SRL
title: A dataset of the research of Learning Feedback based on LLMs in SRL

description: A dataset of the research of learningfeedback based on large languagemodels in Self-regulated Learning in higher EducationChina 2023
description: A dataset of the research of learningfeedback based on large languagemodels in Self-regulated Learning in higher EducationChina 2023
DOI: 10.57760/sciencedb.12374
title: Data and script for red coloration of Phrynocephalus guinanensis
title: Data and script for red coloration of Phrynocephalus guinanensis

description: This dataset was used for the study titled "Pterin-based color predicts the outcome of intrasexual competition for males in Guinan toad-headed lizard", which include fours parts:(1) The spectral data were obtained using a Jaz optic spectrophotometer on the ventrolateral region of lizards.(2) The sand substrate reflection and irradiance data were measured in the study site.(3) Morphological traits were measured according to the standard methods on lizards.(4) A R-script for data analysis.
description: This dataset was used for the study titled "Pterin-based color predicts the outcome of intrasexual competition for males in Guinan toad-headed lizard", which include fours parts:(1) The spectral data were obtained using a Jaz optic spectrophotometer on the ventrolateral region of lizards.(2) The sand substrate reflection and irradiance data were measured in the study site.(3) Morphological traits were measured according to the standard methods on lizards.(4) A R-script for data analysis.
DOI: 10.57760/sciencedb.12380
title: Random Phase Plate Designed by Genetic Algorithm for Decoherence in Energy Homogenization Units of Photolithography Illumination System
title: Random Phase Plate Designed by Genetic Algorithm for Decoherence in Energy Homogenization Units of Photolithography Illumination System

description: This dataset contains the phase distribution of the random phase plate(RPP) which designed to eliminate the interference patterns caused by the coherence of the light source. The size of RPP is 25mm×25mm, the number of RPP is 50×50 and the pitches of RPP is 0.5mm×0.5mm.
description: This dataset contains the phase distribution of the random phase plate(RPP) which designed to eliminate the interference patterns caused by the coherence of the light source. The size of RPP is 25mm×25mm, the number of RPP is 50×50 and the pitches of RPP is 0.5mm×0.5mm.
DOI: 10.57760/sciencedb.12385
title: Unveiling the early evolution of black corals
title: Unveiling the early evolution of black corals

description: Black corals, primarily deep-sea cnidarians (Anthozoa: Antipatharia), are inferred to have originated in the Ediacaran or Cambrian based on molecular clock estimates. However, only the fossil family Sinopathidae, comprising Sinopathes and Sterictopathes, from the Early Ordovician of Hubei, China, has been recorded in the fossil record. The affinity of this family has been questioned because of morphological inconsistencies between fossil and extant species. Here we describe two transitional species of Sterictopathes from the Middle Ordovician of Shaanxi, China, bridging the fossil gaps and thereby elevating the genus Sterictopathes to a new family, Sterictopathidae fam. nov. The evolutionary trend toward regularity in the axial skeleton from the Ordovician to modern Antipatharia is highlighted by reduced ridges and longitudinal fusion of networks. This discovery and confirmation of Ordovician black corals paves the way for future fossil findings and offers new insights into the early evolution of Hexacoralia.
description: Black corals, primarily deep-sea cnidarians (Anthozoa: Antipatharia), are inferred to have originated in the Ediacaran or Cambrian based on molecular clock estimates. However, only the fossil family Sinopathidae, comprising Sinopathes and Sterictopathes, from the Early Ordovician of Hubei, China, has been recorded in the fossil record. The affinity of this family has been questioned because of morphological inconsistencies between fossil and extant species. Here we describe two transitional species of Sterictopathes from the Middle Ordovician of Shaanxi, China, bridging the fossil gaps and thereby elevating the genus Sterictopathes to a new family, Sterictopathidae fam. nov. The evolutionary trend toward regularity in the axial skeleton from the Ordovician to modern Antipatharia is highlighted by reduced ridges and longitudinal fusion of networks. This discovery and confirmation of Ordovician black corals paves the way for future fossil findings and offers new insights into the early evolution of Hexacoralia.
DOI: 10.57760/sciencedb.12384
title: TW-scale few-cycle short-wave infrared laser based on nonlinear compression in a large-core gas-filled hollow core fiber
title: 基于大芯径充气空芯光纤压缩的太瓦级少周期短波红外脉冲产生

description: In this Letter, we present the generation of terawatt-scale few-cycle short-wave infrared (SWIR) lasers using nonlinear compression in a large-core gas-filled hollow core fiber. Through the experimental verification, we investigate the energy scaling properties and nonlinear pulse propagation in the argon-filled hollow core fiber. At static pressure, the system delivers pulses with 5.55 mJ/9.04 fs at a central wavelength of 1.45 μm, resulting in a peak power of about 0.5 TW. Subsequently, based on the chirped input pulses and pressure gradient, the system delivers terawatt-scale two-cycle SWIR pulses with 9.52 mJ/10.65 fs, resulting in a record peak power of about 0.7 TW. This study marks a crucial advancement in the field of SWIR ultra-intense, ultrashort pulse nonlinear interaction platforms. This high-energy, few-cycle SWIR source has significant applications in high-intensity THz radiation, x-ray generation, and other fields of strong-field physics.
description: In this Letter, we present the generation of terawatt-scale few-cycle short-wave infrared (SWIR) lasers using nonlinear compression in a large-core gas-filled hollow core fiber. Through the experimental verification, we investigate the energy scaling properties and nonlinear pulse propagation in the argon-filled hollow core fiber. At static pressure, the system delivers pulses with 5.55 mJ/9.04 fs at a central wavelength of 1.45 μm, resulting in a peak power of about 0.5 TW. Subsequently, based on the chirped input pulses and pressure gradient, the system delivers terawatt-scale two-cycle SWIR pulses with 9.52 mJ/10.65 fs, resulting in a record peak power of about 0.7 TW. This study marks a crucial advancement in the field of SWIR ultra-intense, ultrashort pulse nonlinear interaction platforms. This high-energy, few-cycle SWIR source has significant applications in high-intensity THz radiation, x-ray generation, and other fields of strong-field physics.
DOI: 10.57760/sciencedb.12391
title: A Study of the Impact of Digital Enablement on the Sustainable Competitive Advantage of Enterprises
title: A Study of the Impact of Digital Enablement on the Sustainable Competitive Advantage of Enterprises

description: 本文基于资源基础理论和动态能力理论，以中国赸渝经济区圈内30家健身会所的323名员工为调查样本，实证分析了数字赋能与企业可持续竞争优势的关系，以及可持续商业模式创新的中介作用和动态服务创新能力的调节作用。
description: 本文基于资源基础理论和动态能力理论，以中国赸渝经济区圈内30家健身会所的323名员工为调查样本，实证分析了数字赋能与企业可持续竞争优势的关系，以及可持续商业模式创新的中介作用和动态服务创新能力的调节作用。
DOI: 10.57760/sciencedb.12396
title: Code_Discrete_Time_Switched_MASs
title: Code_Discrete_Time_Switched_MASs

description: This code is used to achieve the output consensus of switched nonlinear heterogeneous discrete-time multi-agent systems, and it is implemented using Matlab R2022a.
description: This code is used to achieve the output consensus of switched nonlinear heterogeneous discrete-time multi-agent systems, and it is implemented using Matlab R2022a.
DOI: 10.57760/sciencedb.12405
title: Paper data-1
title: Paper data-1

description: Paper data-1
description: Paper data-1
DOI: 10.57760/sciencedb.12409
title: deep-sea channel architecture knowledge graph
title: deep-sea channel architecture knowledge graph

description: the data of deep-sea channel architecture knowledge graph for West African Nigeria offshore channel system.
description: the data of deep-sea channel architecture knowledge graph for West African Nigeria offshore channel system.
DOI: 10.57760/sciencedb.12415
title: lynx co-occurrence
title: lynx co-occurrence

description: Occurrence and habitat covariates
description: Occurrence and habitat covariates
DOI: 10.57760/sciencedb.12429
title: Forecasting Freeway Traffic Volumes with Adverse Weather
title: Forecasting Freeway Traffic Volumes with Adverse Weather

description: Forecasting traffic volumes under adverse weather in advance contributes to allocating traffic resources for traffic managers and formulating optimal travel strategies for travelers, which assists in preventing and offsetting the impact of adverse weather on traffic. Consequently, the accurate prediction of traffic volume is vital. This study proposes an adverse weather traffic volume prediction model combining Convolution Neural Networks, Bi-directional Long Short-Term Memory, and Attention Mechanism. The 5-minute highway traffic volume data from December 1, 2021, to March 13, 2022, in Minnesota, U.S.A, and the weather data in the same period provided by Meso West were used as the experimental data. The proposed model was compared with three single prediction models, two validated hybrid models, and the model itself without integrating weather factors. The experiments show that the prediction accuracy of the proposed model is higher than other comparison models.
description: Forecasting traffic volumes under adverse weather in advance contributes to allocating traffic resources for traffic managers and formulating optimal travel strategies for travelers, which assists in preventing and offsetting the impact of adverse weather on traffic. Consequently, the accurate prediction of traffic volume is vital. This study proposes an adverse weather traffic volume prediction model combining Convolution Neural Networks, Bi-directional Long Short-Term Memory, and Attention Mechanism. The 5-minute highway traffic volume data from December 1, 2021, to March 13, 2022, in Minnesota, U.S.A, and the weather data in the same period provided by Meso West were used as the experimental data. The proposed model was compared with three single prediction models, two validated hybrid models, and the model itself without integrating weather factors. The experiments show that the prediction accuracy of the proposed model is higher than other comparison models.
DOI: 10.57760/sciencedb.12434
title: Data of A Person-Centered Analysis of Attachment Profiles and Social Media Sharing Motives in Chinese College Students
title: 以人为中心的中国大学生依恋概况与社交媒体分享动机分析数据

description: The data includes 483 samples from Chinese university students, and the questionnaire content includes basic demographic variables, mature attachment style scales, and social media sharing motivation scales. 
description: The data includes 483 samples from Chinese university students, and the questionnaire content includes basic demographic variables, mature attachment style scales, and social media sharing motivation scales.
DOI: 10.57760/sciencedb.12436
title: Unimodal vs. cross-modal comparisons of social preferences
title: Unimodal vs. cross-modal comparisons of social preferences

description: Based on the delayed compensation method, this study compare social preferences between more laboratory-like uni-modal and more real-world cross-modal. The results revealed that prosocial tendencies were lower in uni-modal than in cross-modal. Moreover, social value orientation scores, as measured by traditional tools, were correlated with compensations in uni-modal but not in cross-modal. These findings suggest that existing tools for measuring social preferences may lack ecological validity, offering insights and guidance for future researchers in selecting and developing appropriate measurement tools.
description: Based on the delayed compensation method, this study compare social preferences between more laboratory-like uni-modal and more real-world cross-modal. The results revealed that prosocial tendencies were lower in uni-modal than in cross-modal. Moreover, social value orientation scores, as measured by traditional tools, were correlated with compensations in uni-modal but not in cross-modal. These findings suggest that existing tools for measuring social preferences may lack ecological validity, offering insights and guidance for future researchers in selecting and developing appropriate measurement tools.
DOI: 10.57760/sciencedb.12443
title: AdaptiveNet for general optical image restoration
title: AdaptiveNet for general optical image restoration

description: Due to non-ideal imaging conditions such as scattering, defocusing, diffraction, and so on, the captured images may suffer from degradation and be hard to understand. Although deep learning has proven to be powerful for these image restoration tasks, it still has a deficiency in generalization when faced with various degradation models together. In this work, we propose a novel architecture combined with an adaptive encoder to realize general optical image restoration, which we term the "AdaptiveNet." It can adaptively classify the experimental conditions and learn to recover images exclusively. Extensive experiments demonstrate that AdaptiveNet achieves superior recovery results among various optical image restoration tasks.
description: Due to non-ideal imaging conditions such as scattering, defocusing, diffraction, and so on, the captured images may suffer from degradation and be hard to understand. Although deep learning has proven to be powerful for these image restoration tasks, it still has a deficiency in generalization when faced with various degradation models together. In this work, we propose a novel architecture combined with an adaptive encoder to realize general optical image restoration, which we term the "AdaptiveNet." It can adaptively classify the experimental conditions and learn to recover images exclusively. Extensive experiments demonstrate that AdaptiveNet achieves superior recovery results among various optical image restoration tasks.
DOI: 10.57760/sciencedb.12445
title: Data-Impact of industrial agglomeration on environmental efficiency of pig farming: An Empirical Analysis from China
title: Data-Impact of industrial agglomeration on environmental efficiency of pig farming: An Empirical Analysis from China

description: The datasets used in this study can be obtained from the "Compilation of National Agricultural Cost and Income Data," "China Environmental Statistics Yearbook," "China Animal Husbandry and Veterinary Yearbook," "China Statistical Yearbook," "China Rural Statistical Yearbook," and "Handbook of Emission Coefficients for Livestock and Poultry Farming".
description: The datasets used in this study can be obtained from the "Compilation of National Agricultural Cost and Income Data," "China Environmental Statistics Yearbook," "China Animal Husbandry and Veterinary Yearbook," "China Statistical Yearbook," "China Rural Statistical Yearbook," and "Handbook of Emission Coefficients for Livestock and Poultry Farming".
DOI: 10.57760/sciencedb.12449
title: Evaluation of ChatGPT as a Data Analysis Tool
title: Evaluation of ChatGPT as a Data Analysis Tool

description: data of Evaluation of ChatGPT as a Data Analysis Tool: An Examination of Its Factor Analysis Performance
description: data of Evaluation of ChatGPT as a Data Analysis Tool: An Examination of Its Factor Analysis Performance
DOI: 10.57760/sciencedb.agriculture.00121
title: Multispectral image Dataset of Wheat Full Growth Cycle in Beijing Province in 2024
title: 2024年北京小麦全生长周期多光谱图像数据集

description: This dataset covers four bands (green light, infrared, red edge, near-infrared) of wheat image resources, which are suitable for spectral data analysis and provide training and testing samples for deep learning models.
description: This dataset covers four bands (green light, infrared, red edge, near-infrared) of wheat image resources, which are suitable for spectral data analysis and provide training and testing samples for deep learning models.
DOI: 10.57760/sciencedb.12455
title: The data in "An L-cysteine based sensor for Cu2+ detection applicable for both environmental water and human plasma"
title: The data in "An L-cysteine based sensor for Cu2+ detection applicable for both environmental water and human plasma"

description: The original data for the analysis figures in the paper of "An L-cysteine based sensor for Cu2+ detection applicable for both environmental water and human plasma" by Yanhong Chen et al., including the data in the Supplementary Material.
description: The original data for the analysis figures in the paper of "An L-cysteine based sensor for Cu2+ detection applicable for both environmental water and human plasma" by Yanhong Chen et al., including the data in the Supplementary Material.
DOI: 10.57760/sciencedb.j00186.00265
title: A dataset of operating characteristics of Stirling engine based on an optimized analysis method
title: A dataset of operating characteristics of Stirling engine based on an optimized analysis method

description: The dataset provides all the charts and detailed data involved in the study of the operating characteristics of Stirling engines based on the secondary Stirling analysis method. The parts involving the simulation calculation of the Stirling engine, such as the validation of the model, the variation of output work and cycle efficiency with frequency, the characteristics of regenerator parameter changes, the characteristics of pressure drop with rotational speed, and the characteristics of Stirling operating state changes with the temperature of the cold and hot ends, are provided in the form of Origin engineering files.
description: The dataset provides all the charts and detailed data involved in the study of the operating characteristics of Stirling engines based on the secondary Stirling analysis method. The parts involving the simulation calculation of the Stirling engine, such as the validation of the model, the variation of output work and cycle efficiency with frequency, the characteristics of regenerator parameter changes, the characteristics of pressure drop with rotational speed, and the characteristics of Stirling operating state changes with the temperature of the cold and hot ends, are provided in the form of Origin engineering files.
DOI: 10.57760/sciencedb.12463
title: Original dataset for "An Improved YOLOv8-based Lightweight Approach for Orange Maturity Detection
title: 基于改进YOLOv8的轻量化柑橘成熟度检测”的原始数据集

description: The dataset comprised two main components, totaling 1113 images and 5628 orange samples (He, 2024). The primary component consisted of 338 images depicting orange from the 'Chunjian' variety. These images were captured under varying conditions of light, distance, occlusion, number of targets, and maturity in Ziyan Township, Nanchong City, Sichuan Province, China. This variety is extensively cultivated in southern regions of China and represents one of the primary cultivars of citrus in the country. The image was captured using a Canon EOS 90D camera with an 18-55mm focal length lens, under natural outdoor lighting conditions. The camera was set to automatic exposure mode, and the processed image was exported with a resolution of 2992×2992 pixels.The secondary component of the dataset comprised 775 images sourced from publicly available orange picture on the internet, totaling 1216 samples. These additional images aim to enhance the model's generalization performance to other orange varieties.The images have been partitioned into training set (70%, 781 images used for model training), validation set (20%, 221 images used for hyperparameter tuning and performance evaluation during training), and test set (10%, 111 images used for assessing the model's generalization ability, accuracy, and reliability).
description: The dataset comprised two main components, totaling 1113 images and 5628 orange samples (He, 2024). The primary component consisted of 338 images depicting orange from the 'Chunjian' variety. These images were captured under varying conditions of light, distance, occlusion, number of targets, and maturity in Ziyan Township, Nanchong City, Sichuan Province, China. This variety is extensively cultivated in southern regions of China and represents one of the primary cultivars of citrus in the country. The image was captured using a Canon EOS 90D camera with an 18-55mm focal length lens, under natural outdoor lighting conditions. The camera was set to automatic exposure mode, and the processed image was exported with a resolution of 2992×2992 pixels.The secondary component of the dataset comprised 775 images sourced from publicly available orange picture on the internet, totaling 1216 samples. These additional images aim to enhance the model's generalization performance to other orange varieties.The images have been partitioned into training set (70%, 781 images used for model training), validation set (20%, 221 images used for hyperparameter tuning and performance evaluation during training), and test set (10%, 111 images used for assessing the model's generalization ability, accuracy, and reliability).