cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30186337.v1
title: <b>DECARBONISING SUPPLY CHAINS IN EMERGING ECONOMIES: A MULTILEVEL ANALYSIS OF REGULATION, ESG, AND DIGITISATION</b>

description: This dataset underpins a cross-sector survey of supply chain professionals in Nigeria, examining how regulatory conditions, ESG practices, and digital transformation jointly drive supply chain decarbonization. The analytic file contains 306 de-identified respondent records drawn from firms operating in manufacturing, construction, energy, and logistics, which align with the study’s stratified sampling of high-impact, carbon-intensive sectors. Variables include respondent role and firm descriptors (anonymised), alongside the study’s core constructs measured on 5-point Likert scales. These constructs are: Regulatory Stringency (RS), Regulatory Enforcement (RE), Regulatory Inconsistencies (RI), ESG Awareness (ESG), Financial Constraints (FC), Institutional Pressures (IP), Digital Technology Adoption (DTA: blockchain/AI/IoT), Digitalisation & ESG Compliance (DEC), Digital Infrastructure Constraints (DI), and Supply Chain Decarbonisation (SCD), operationalised via carbon-reduction initiatives, energy-efficiency practices, and circular-economy integration. The dataset supports replication of the reported measurement model (reliability/validity) and structural analyses (direct, mediated, and moderated effects).Accompanying documentation (codebook and survey instrument) defines item wording, construct mappings, and scoring conventions, with derived indices clearly labelled for reproducibility. Personally identifiable information and firm names have been removed; categorical groupings are provided only at safe aggregation levels to protect confidentiality while permitting robust secondary analysis (e.g., sectoral comparisons and tests of digital infrastructure moderation). Researchers can reuse the data to probe alternative specifications (e.g., different enforcement or financing measures), conduct robustness checks on ESG-technology interactions, or extend the model to additional institutional or operational outcomes relevant to decarbonization in emerging economy supply chains.
DOI: 10.57760/sciencedb.28090
title: Research on the impact of childhood stress on exercise commitment in adulthood
title: Research on the impact of childhood stress on exercise commitment in adulthood

description: 该数据集旨在研究生命史理论框架内儿童环境压力、控制感和运动承诺之间的关系，同时检验死亡威胁启动的调节作用。数据是从 140 名大学生的样本中收集的。使用启动任务将参与者随机分配到两个实验条件之一：a） 死亡威胁启动组：参与者观看了强调 COVID-19 病毒高传播性和感染率的官方新闻视频。b） 对照组：参与者观看了介绍海口国际免税购物中心建筑设计的中性新闻视频。错误或偏见的主要潜在来源在于关键变量（童年压力、控制感、运动承诺）的自我报告性质，这些变量是主观的，可能受到回忆偏差或社会期望等因素的影响。实验作（启动）中的错误范围很低，因为它是使用视频标准化的。报告的结果表明预测关系具有统计学意义，表明测量在自我报告方法的固有局限性内取得了成功。样本量虽然足以进行报告的分析，但适中，并且使用大学生群体限制了研究结果对更广泛公众的普遍性。
description: 该数据集旨在研究生命史理论框架内儿童环境压力、控制感和运动承诺之间的关系，同时检验死亡威胁启动的调节作用。数据是从 140 名大学生的样本中收集的。使用启动任务将参与者随机分配到两个实验条件之一：a） 死亡威胁启动组：参与者观看了强调 COVID-19 病毒高传播性和感染率的官方新闻视频。b） 对照组：参与者观看了介绍海口国际免税购物中心建筑设计的中性新闻视频。错误或偏见的主要潜在来源在于关键变量（童年压力、控制感、运动承诺）的自我报告性质，这些变量是主观的，可能受到回忆偏差或社会期望等因素的影响。实验作（启动）中的错误范围很低，因为它是使用视频标准化的。报告的结果表明预测关系具有统计学意义，表明测量在自我报告方法的固有局限性内取得了成功。样本量虽然足以进行报告的分析，但适中，并且使用大学生群体限制了研究结果对更广泛公众的普遍性。
DOI: 10.57760/sciencedb.28078
title: Optimal fermentation medium and extraction conditions for lycopene production by Polymorphospora sp. A560
title: Polymorphospora sp. A560产番茄红素的最佳发酵培养基及提取条件的优化

description: Lycopene, a vital antioxidant, can reduce oxidative damage to cells caused by reactive oxygen, prevent cancer, lower blood cholesterol levels, and mitigate cardiovascular diseases. We screened a lycopene-producing strain of genus Polymorphospora, designated A560, and discovered that its metabolic pathway lacks the cyclooxygenase gene cytY, which is responsible for converting lycopene into γ-carotenoids. The absence of cytY alleviates the challenges associated with the addition of a cyclooxygenase inhibitor, which previously hindered the large-scale accumulation of lycopene in Blakeslea trispora. This study implemented a multi-stage optimization strategy: adjusting the solvent system (acetone/n-hexane/ethanol) and extraction temperature and duration to optimize extraction conditions and enhance recovery rates. Using a uniform design (UD), lycopene yield was maximized by adjusting medium components. Under hexane/ethanol (v/v=2:1) extraction and 60 °C water bath treatment for 1h, lycopene yield increased by 37.13% (from 45.25 to 62.05 mg/L) compared to acetone extraction at room temperature. Following optimized cultivation conditions, lycopene yield increased by 224.64% (from 62.05 to 201.44 mg/L), establishing a novel microbial resource for fermentative lycopene production.
description: Lycopene, a vital antioxidant, can reduce oxidative damage to cells caused by reactive oxygen, prevent cancer, lower blood cholesterol levels, and mitigate cardiovascular diseases. We screened a lycopene-producing strain of genus Polymorphospora, designated A560, and discovered that its metabolic pathway lacks the cyclooxygenase gene cytY, which is responsible for converting lycopene into γ-carotenoids. The absence of cytY alleviates the challenges associated with the addition of a cyclooxygenase inhibitor, which previously hindered the large-scale accumulation of lycopene in Blakeslea trispora. This study implemented a multi-stage optimization strategy: adjusting the solvent system (acetone/n-hexane/ethanol) and extraction temperature and duration to optimize extraction conditions and enhance recovery rates. Using a uniform design (UD), lycopene yield was maximized by adjusting medium components. Under hexane/ethanol (v/v=2:1) extraction and 60 °C water bath treatment for 1h, lycopene yield increased by 37.13% (from 45.25 to 62.05 mg/L) compared to acetone extraction at room temperature. Following optimized cultivation conditions, lycopene yield increased by 224.64% (from 62.05 to 201.44 mg/L), establishing a novel microbial resource for fermentative lycopene production.
DOI: 10.57760/sciencedb.28075
title: Datasets for Carbon Emission Optimization of Building Decoration Projects Using Dynamic Weighted TOPSIS-LCA Model
title: Datasets for Carbon Emission Optimization of Building Decoration Projects Using Dynamic Weighted TOPSIS-LCA Model

description: Data background:This dataset originates from the interior decoration project of a university academic exchange center. It addresses the limitations of static weighting in conventional Life Cycle Assessment (LCA) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) models. Whole-process carbon-emission data (production, transport, construction) are provided for three decoration schemes—high-end, medium, and basic—together with the dynamic-weight calculation procedure and Monte Carlo robustness-analysis results.Data content:Four file types are included:① Basic decision matrix (Excel): aesthetic scores, cost breakdowns, carbon-emission factors;② Carbon-emission calculation sheets (CSV): compiled in accordance with GB/T 51366-2019 and T/CBDA 69-2023;③Monte Carlo simulation code (MATLAB): script for 1,000 iterations.
description: Data background:This dataset originates from the interior decoration project of a university academic exchange center. It addresses the limitations of static weighting in conventional Life Cycle Assessment (LCA) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) models. Whole-process carbon-emission data (production, transport, construction) are provided for three decoration schemes—high-end, medium, and basic—together with the dynamic-weight calculation procedure and Monte Carlo robustness-analysis results.Data content:Four file types are included:① Basic decision matrix (Excel): aesthetic scores, cost breakdowns, carbon-emission factors;② Carbon-emission calculation sheets (CSV): compiled in accordance with GB/T 51366-2019 and T/CBDA 69-2023;③Monte Carlo simulation code (MATLAB): script for 1,000 iterations.
DOI: 10.15468/dl.y4uqbu
title: Occurrence Download

description: A dataset containing 217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Thelesperma filifolium",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 217 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008107-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hwgux5
title: Occurrence Download

description: A dataset containing 618 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Falcataria moluccana",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 618 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008108-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30186049
title: <b>An Effective Deep Learning Based English Mispronunciation Detection and Diagnosis Framework</b>

description: Hyperparameter tuning using the Sparrow Search Algorithm (SSA) is done to improve the classifier's detection performance. We employ the publicly available TIMIT, SpeechOcean762, and L2-ARCTIC datasets for testing and training purposes and compare the performance of our proposed method to some of the top end-to-end models.
DOI: 10.6084/m9.figshare.30186049.v1
title: <b>An Effective Deep Learning Based English Mispronunciation Detection and Diagnosis Framework</b>

description: Hyperparameter tuning using the Sparrow Search Algorithm (SSA) is done to improve the classifier's detection performance. We employ the publicly available TIMIT, SpeechOcean762, and L2-ARCTIC datasets for testing and training purposes and compare the performance of our proposed method to some of the top end-to-end models.
DOI: 10.57760/sciencedb.psych.00742
title: The symbolic numerical processing of mathematical anxious individual experimental dataset
title: 数学焦虑个体符号数字加工实验数据集

description: The EEG data were collected using a Brain Products system with 64 Ag/AgCl scalp electrodes positioned according to the extended international 10–20 system. EEG activity was recorded with FCz as the reference electrode, and offline preprocessing re-referenced the signals to the average of all electrodes. Data were band-pass filtered between 0.01 and 30 Hz with a sampling rate of 1000 Hz. Electrode impedances were maintained below 10 kΩ. The raw data were segmented, and independent component analysis (ICA) was applied to remove artifacts. Segments containing artifacts were rejected, and the remaining trials were averaged for further analysis. Independent component analysis (ICA; Delorme & Makeig, 2004), implemented in EEGLAB, was used to eliminate ocular and muscular artifacts. Segments with amplitudes exceeding ±80 μV were excluded, resulting in the removal of 1.19% of trials. The dataset initially comprised 60 participants. Two participants were excluded due to excessive EEG artifacts (i.e., fewer than 75% of trials retained for analysis). The final sample consisted of 58 participants (32 females; mean age = 21.19 years, SD = 2.16).
description: The EEG data were collected using a Brain Products system with 64 Ag/AgCl scalp electrodes positioned according to the extended international 10–20 system. EEG activity was recorded with FCz as the reference electrode, and offline preprocessing re-referenced the signals to the average of all electrodes. Data were band-pass filtered between 0.01 and 30 Hz with a sampling rate of 1000 Hz. Electrode impedances were maintained below 10 kΩ. The raw data were segmented, and independent component analysis (ICA) was applied to remove artifacts. Segments containing artifacts were rejected, and the remaining trials were averaged for further analysis. Independent component analysis (ICA; Delorme & Makeig, 2004), implemented in EEGLAB, was used to eliminate ocular and muscular artifacts. Segments with amplitudes exceeding ±80 μV were excluded, resulting in the removal of 1.19% of trials. The dataset initially comprised 60 participants. Two participants were excluded due to excessive EEG artifacts (i.e., fewer than 75% of trials retained for analysis). The final sample consisted of 58 participants (32 females; mean age = 21.19 years, SD = 2.16).
DOI: 10.15468/dl.9jt8y8
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heteranthemis viscidehirta",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008111-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fkb9q4
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Livistona rotundifolia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 32 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008112-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15270512
title: Data files for the manuscript Multi-objective Optimization of Individual Pitch Control with Static Inverted Decoupling for Blade Fatigue Load Reduction in Wind Turbines

description: This data files contains data and plots presented in the conference paper titled "Multi-objective Optimization of Individual Pitch Control with Static Inverted Decoupling for Blade Fatigue Load Reduction in Wind Turbines" submitted to the 1st IFAC Joint Conference on Computers, Cognition and Communication (J3C), which incorporates the 7th IFAC Conference on Intelligent Control and Automation Sciences (ICONS 2025).All these data, scripts and functions are coded in MATLAB language (https://es.mathworks.com/products/matlab.html). The files were run on a PC with Windows 10.The data files encompasses a wide variety of data types, including but not limited to:- Numerical data: Post-processed simulation data and calculations.- Visual data: plots illustrating findings.

These data are provided in two folders. The description of these folder and their files is as follows:

A) The folder "ParetoFronts" includes:- the dataset OptimizationResults.mat with the parameter obtained by optimization for the different schemes and data in the manuscript.- the file GenerateParetoScores.m to treat these data to generate the figures with Pareto fronts and parameter fronts.- The files ParetoFront.fig and ParetoFront.png with the Pareto front obtained.- The files ParamFig.fig and ParamFig.png with associante front of controller parameters asociated to the previous Pareto front.

B) The folders "ValidationSimulations" includes:- Three "mat" files with the raw simulation data obtained with each control scheme for eight simulations perfromed with different wind profiles. For example, the file "Baseline_18ms" contains the simulation data of the CPC scheme, "IPC_18ms" contains the traditional IPC results, and "IPC_D_18ms", those for the IPC wiht static inverted decoupling.- Files TableDEL_NAT and TABLEPg_wg generate the tables with the values for each wind profile and the average value of DEL(My1), NAT(beta1), mean(wg/wgnominal), std(wg/wgnominal), mean(Pg/Pgnominal), and std(Pg/Pgnominal).- ControllerResults.xlsx and ControllerResults2.xlsx: contain the previous two tables.- SimulationExample.m: it is used to show the time response of one of the simulations with one wind profile as example and compare the three different control schemes.- SimulationFig.fig and SimulationFig.png are the figure obtained with the previous .m file.- Fourier.m: it is used to show the Fourier spectrum of My1 and beta1.- Fourier.fig and Fourier.png are the figure obtained with the previous .m file.

Script files are commented indicating their functionality. They allow you to obtain the results and related figures as they can be seen in the paper.
DOI: 10.5281/zenodo.15270513
title: Data files for the manuscript Multi-objective Optimization of Individual Pitch Control with Static Inverted Decoupling for Blade Fatigue Load Reduction in Wind Turbines

description: This data files contains data and plots presented in the conference paper titled "Multi-objective Optimization of Individual Pitch Control with Static Inverted Decoupling for Blade Fatigue Load Reduction in Wind Turbines" submitted to the 1st IFAC Joint Conference on Computers, Cognition and Communication (J3C), which incorporates the 7th IFAC Conference on Intelligent Control and Automation Sciences (ICONS 2025).All these data, scripts and functions are coded in MATLAB language (https://es.mathworks.com/products/matlab.html). The files were run on a PC with Windows 10.The data files encompasses a wide variety of data types, including but not limited to:- Numerical data: Post-processed simulation data and calculations.- Visual data: plots illustrating findings.

These data are provided in two folders. The description of these folder and their files is as follows:

A) The folder "ParetoFronts" includes:- the dataset OptimizationResults.mat with the parameter obtained by optimization for the different schemes and data in the manuscript.- the file GenerateParetoScores.m to treat these data to generate the figures with Pareto fronts and parameter fronts.- The files ParetoFront.fig and ParetoFront.png with the Pareto front obtained.- The files ParamFig.fig and ParamFig.png with associante front of controller parameters asociated to the previous Pareto front.

B) The folders "ValidationSimulations" includes:- Three "mat" files with the raw simulation data obtained with each control scheme for eight simulations perfromed with different wind profiles. For example, the file "Baseline_18ms" contains the simulation data of the CPC scheme, "IPC_18ms" contains the traditional IPC results, and "IPC_D_18ms", those for the IPC wiht static inverted decoupling.- Files TableDEL_NAT and TABLEPg_wg generate the tables with the values for each wind profile and the average value of DEL(My1), NAT(beta1), mean(wg/wgnominal), std(wg/wgnominal), mean(Pg/Pgnominal), and std(Pg/Pgnominal).- ControllerResults.xlsx and ControllerResults2.xlsx: contain the previous two tables.- SimulationExample.m: it is used to show the time response of one of the simulations with one wind profile as example and compare the three different control schemes.- SimulationFig.fig and SimulationFig.png are the figure obtained with the previous .m file.- Fourier.m: it is used to show the Fourier spectrum of My1 and beta1.- Fourier.fig and Fourier.png are the figure obtained with the previous .m file.

Script files are commented indicating their functionality. They allow you to obtain the results and related figures as they can be seen in the paper.
DOI: 10.15468/dl.6kyuyj
title: Occurrence Download

description: A dataset containing 1797 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Elymus nutans"
 ]
}

 The dataset includes 1797 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008113-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.82zdpr
title: Occurrence Download

description: A dataset containing 852 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Juncus alatus"
 ]
}

 The dataset includes 852 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008114-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.asj4xb
title: Occurrence Download

description: A dataset containing 313 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Presbytis comata, Hylobates moloch, Panthera pardus melas, Nycticebus javanicus, Rhinoceros sondaicus, Charadrius javanicus)"
 ]
}

 The dataset includes 313 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008115-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jmzp9d
title: Occurrence Download

description: A dataset containing 47615 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-158.01892 8.37258,-44.98108 8.37258,-44.98108 53.62742,-158.01892 53.62742,-158.01892 8.37258))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anas diazi"
 ]
}

 The dataset includes 47615 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008116-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30186316
title: Fluorescence spectra and Microrganim

description: Crop residue incorporation is an effective agronomic measure for mitigating cropland quality degradation, yet the short-term pathways of carbon sequestration and underlying microbial mechanisms remain unclear. This study compared the effects of incorporating straw (FS) and root (FR) residues on soil organic carbon (SOC) fractions, molecular structure, and microbial community. Although short-term FS and FR did not significantly alter SOC, particulate organic carbon (POC), or mineral-associated organic carbon (MAOC) content, FR significantly enhanced the proportion of stable carbon forms. Specifically, FR increased polysaccharide-C and aliphatic-C₂ in POC by 30.5% and 24.1%, and in MAOC by 22.9% and 20.0%, respectively. It also raised dissolved organic carbon (DOC) by 2.31% and the humification index (HIX) by 9.66%, with DOC derived mainly from microbial sources. Microbial community shifts under FR showed increased oligotrophic bacteria and fungi by 18.1% and 118.7%, and reduced eutrophic groups by 29.4% and 34.1%. Structural equation modelling revealed that oligotrophs directly facilitated POC formation and indirectly promoted MAOC via enzymatic effects on DOC, while copiotrophs directly dominated MAOC accumulation. These findings underscore FR’s role in promoting carbon stabilization through synergistic microbial and mineral carbon pathways, highlighting the importance of different residues shaping the functional dynamics of soil microbial communities for precision carbon sequestration in future agricultural management.