cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.yck2hs
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-111.4188 27.59913, -111.2688 27.59913, -111.2688 27.74913, -111.4188 27.74913, -111.4188 27.59913))"
 ]
}

 The dataset includes 174 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044802-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.31909
title: Weather data input
title: Weather data input

description: Research on Optimal Strategy of Photovoltaic-Charging Station Based on Weather Forecast Information
description: Research on Optimal Strategy of Photovoltaic-Charging Station Based on Weather Forecast Information
DOI: 10.17632/db94d5ccr6
title: Training data for cantilever beam with transverse cracks

description: This dataset contains the input and target data generated by using a mathematical relation to predict frequency changes for cantilever beams affected by transverse cracks. 
The input data is as follows:
 - the column represents the first eight relative frequency shift values for out-of-plane bending vibration modes.
 - each column represents the damage location and severity, after the hole beam is scanned, we produce cracks also at the fixed end to simulate imperfect boundary conditions.
DOI: 10.17632/db94d5ccr6.2
title: Training data for cantilever beam with transverse cracks

description: This dataset contains the input and target data generated by using a mathematical relation to predict frequency changes for cantilever beams affected by transverse cracks. 
The input data is as follows:
 - the column represents the first eight relative frequency shift values for out-of-plane bending vibration modes.
 - each column represents the damage location and severity, after the hole beam is scanned, we produce cracks also at the fixed end to simulate imperfect boundary conditions.
DOI: 10.57760/sciencedb.j00217.10487
title: Anti-inflammatory Mechanisms of Icariin in THP-1 Monocytes: Regulation of Phagocytosis, Chemotaxis and Polarization
title: 淫羊藿苷（ICA）对THP-1人单核细胞抗炎及免疫调节作用机制的探讨

description: Objective To investigate the regulatory effects of icariin (ICA) on lipopolysaccharide (LPS)-induced inflammatory response in THP-1 human monocytic cell line and its underlying mechanisms.Methods The safe concentration of ICA (10⁻⁶ mol/L) was determined by CCK-8 assay. The effects of ICA on phagocytic function (fluorescent latex beads), CCR2 chemokine receptor expression, and macrophage polarization markers (CD86/CD206) were evaluated by flow cytometry. qPCR was used to analyze mRNA expression levels of pro-inflammatory cytokines (IL-6、IL-1 and TNF-α).Results Compared with the LPS-induced group, ICA significantly enhanced the phagocytic capacity of THP-1 cells (p&lt;0.05), suppressed LPS-induced upregulation of CCR2 expression (p&lt;0.01), reduced M1 macrophage polarization (decreased proportion of CD86+ macrophages), and decreased gene expression of IL-6、IL-1 and TNF-α (p&lt;0.01).Conclusion ICA exerts anti-inflammatory effects by modulating monocyte phagocytosis, chemotaxis, and macrophage polarization, providing experimental evidence for the treatment of inflammatory diseases.
description: Objective To investigate the regulatory effects of icariin (ICA) on lipopolysaccharide (LPS)-induced inflammatory response in THP-1 human monocytic cell line and its underlying mechanisms.Methods The safe concentration of ICA (10⁻⁶ mol/L) was determined by CCK-8 assay. The effects of ICA on phagocytic function (fluorescent latex beads), CCR2 chemokine receptor expression, and macrophage polarization markers (CD86/CD206) were evaluated by flow cytometry. qPCR was used to analyze mRNA expression levels of pro-inflammatory cytokines (IL-6、IL-1 and TNF-α).Results Compared with the LPS-induced group, ICA significantly enhanced the phagocytic capacity of THP-1 cells (p&lt;0.05), suppressed LPS-induced upregulation of CCR2 expression (p&lt;0.01), reduced M1 macrophage polarization (decreased proportion of CD86+ macrophages), and decreased gene expression of IL-6、IL-1 and TNF-α (p&lt;0.01).Conclusion ICA exerts anti-inflammatory effects by modulating monocyte phagocytosis, chemotaxis, and macrophage polarization, providing experimental evidence for the treatment of inflammatory diseases.
DOI: 10.5281/zenodo.17647788
title: Dataset for "A study of wide binary open cluster candidates in the Milky Way from Gaia DR3"

description: This dataset compiles the fundamental parameters and astrometric properties of 36 wide binary open cluster (WBOC) candidate pairs, together with member-star data for every cluster, drawn from Gaia DR3 astrometry and the open-cluster catalogues of Hunt & Reffert (2023, 2024).
DOI: 10.5281/zenodo.17647787
title: Dataset for "A study of wide binary open cluster candidates in the Milky Way from Gaia DR3"

description: This dataset compiles the fundamental parameters and astrometric properties of 36 wide binary open cluster (WBOC) candidate pairs, together with member-star data for every cluster, drawn from Gaia DR3 astrometry and the open-cluster catalogues of Hunt & Reffert (2023, 2024).
DOI: 10.57760/sciencedb.31900
title: Data of Markert's Amount of Chinese Visual Features in his I Ching Transcreation
title: Data of Markert's Amount of Chinese Visual Features in his I Ching Transcreation

description: This is a manual count of the 146 documents (double page spreads) in Christopher Markert’s I Ching, The No. 1 Success Formula. Let this time-tested method help you make the right decisions today! From 1986.
description: This is a manual count of the 146 documents (double page spreads) in Christopher Markert’s I Ching, The No. 1 Success Formula. Let this time-tested method help you make the right decisions today! From 1986.
DOI: 10.57760/sciencedb.31532
title: Modeling the Nonlinear Relationship Between Response Time and Accuracy: A Quadratic Bifactor Model Approach
title: 作答反应与时间的非线依赖性关系建模：基于二次双因子模型

description: "Modeling the Nonlinear Relationship Between Response Time and Accuracy: A Quadratic Bifactor Model Approach" related Mplus code
description: "Modeling the Nonlinear Relationship Between Response Time and Accuracy: A Quadratic Bifactor Model Approach" related Mplus code
DOI: 10.15468/dl.tmcfb3
title: Occurrence Download

description: A dataset containing 2364 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 6.56390812604201",
 "DecimalLongitude is less than 6.56696767922641",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 2364 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044803-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.31888
title: Supplementary Materials
title: Supplementary Materials

description: The top 50 entities by strength centrality and their codes in the co-authored paper network, the cooperative patent network, and the jointly authored network, respectively.
description: The top 50 entities by strength centrality and their codes in the co-authored paper network, the cooperative patent network, and the jointly authored network, respectively.
DOI: 10.17632/w7zrrvn2gb
title: The Impact of Response Expectancy on the Efficacy of the Counting Blessings Intervention: Examining the Moderating Role of Optimism

description: Abstract
Introduction: This study addresses a knowledge gap concerning the underlying mechanisms responsible for the efficacy of gratitude interventions. Specifically, we investigated how various response expectancies (positive, negative, and no manipulated expectancies) impact the effectiveness of the "counting blessings" intervention in influencing positive and negative emotions. Additionally, we explored the interaction between optimism levels (high, medium, and low) and these expectancies in the efficacy of the intervention. Method: A total of 142 participants underwent the counting blessings intervention for seven consecutive days, and 111 of them participated in a follow-up assessment one month later. Results: While no significant interaction was found between experimental conditions (Positive Condition, Negative Condition, Control Condition) and time regarding emotional outcomes, moderation analysis revealed differential interactions between optimism levels and expectancies, particularly influencing positive emotions. For participants with low optimism, positive emotions significantly increased from post-intervention to follow-up in the Positive Condition and from pre-intervention to post-intervention in the Negative Condition. Participants with medium optimism experienced an increase in positive emotions across all conditions from pre-intervention to follow-up and from post-intervention to follow-up. High optimism participants showed an increase in positive emotions from pre-intervention to follow-up and post-intervention to follow-up in the Positive and Control Conditions. Conclusions: Our findings emphasize the effectiveness of a brief gratitude journal and underscore the nuanced role of response expectancy, especially in interaction with the initial level of optimism, in enhancing positive emotions. These results hold significance for both theoretical understanding and clinical applications.
Key Words: Response expectancy, Gratitude intervention, Positive Emotion, Negative Emotion, Optimism, RCT
DOI: 10.15468/dl.wn6p9q
title: Occurrence Download

description: A dataset containing 1371493 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is FRA.11.10_1",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1371493 records from 1010 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044750-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/w7zrrvn2gb.1
title: The Impact of Response Expectancy on the Efficacy of the Counting Blessings Intervention: Examining the Moderating Role of Optimism

description: Abstract
Introduction: This study addresses a knowledge gap concerning the underlying mechanisms responsible for the efficacy of gratitude interventions. Specifically, we investigated how various response expectancies (positive, negative, and no manipulated expectancies) impact the effectiveness of the "counting blessings" intervention in influencing positive and negative emotions. Additionally, we explored the interaction between optimism levels (high, medium, and low) and these expectancies in the efficacy of the intervention. Method: A total of 142 participants underwent the counting blessings intervention for seven consecutive days, and 111 of them participated in a follow-up assessment one month later. Results: While no significant interaction was found between experimental conditions (Positive Condition, Negative Condition, Control Condition) and time regarding emotional outcomes, moderation analysis revealed differential interactions between optimism levels and expectancies, particularly influencing positive emotions. For participants with low optimism, positive emotions significantly increased from post-intervention to follow-up in the Positive Condition and from pre-intervention to post-intervention in the Negative Condition. Participants with medium optimism experienced an increase in positive emotions across all conditions from pre-intervention to follow-up and from post-intervention to follow-up. High optimism participants showed an increase in positive emotions from pre-intervention to follow-up and post-intervention to follow-up in the Positive and Control Conditions. Conclusions: Our findings emphasize the effectiveness of a brief gratitude journal and underscore the nuanced role of response expectancy, especially in interaction with the initial level of optimism, in enhancing positive emotions. These results hold significance for both theoretical understanding and clinical applications.
Key Words: Response expectancy, Gratitude intervention, Positive Emotion, Negative Emotion, Optimism, RCT
DOI: 10.57760/sciencedb.j00148.00023
title: Lutibacter Genomic Comparison Results Dataset
title: Lutibacter属细菌基因组比较结果数据集

description: We screened out new strains A64 and A80 in intertidal seawater, and obtained the 16S rRNA and corresponding complete genome data of the two new strains through first generation sequencing. We also found the genomes of Lutibatcer bacteria related to them on NCBI and annotated them with Rast and DBCAN to obtain the dataset. And by conducting transcriptome analysis on strains A64 and A80 using enzymatic hydrolysis of fucoidan as a single carbon source, corresponding gene upregulation datasets were obtained. 
description: We screened out new strains A64 and A80 in intertidal seawater, and obtained the 16S rRNA and corresponding complete genome data of the two new strains through first generation sequencing. We also found the genomes of Lutibatcer bacteria related to them on NCBI and annotated them with Rast and DBCAN to obtain the dataset. And by conducting transcriptome analysis on strains A64 and A80 using enzymatic hydrolysis of fucoidan as a single carbon source, corresponding gene upregulation datasets were obtained.
DOI: 10.17632/k5mptbhwth
title: Feeding alfalfa silage inoculated with feruloyl esterase-producing Lactobacillus reuteri to lactating dairy goats is associated with better hepatic antioxidant capacity

description: The primer sequence designed for the target genes.
DOI: 10.17632/k5mptbhwth.1
title: Feeding alfalfa silage inoculated with feruloyl esterase-producing Lactobacillus reuteri to lactating dairy goats is associated with better hepatic antioxidant capacity

description: The primer sequence designed for the target genes.
DOI: 10.17632/23n8bynpc2
title: Atlas_Pollen_Soconusco_Datase

description: This dataset contains the photographic and descriptive pollen atlas of melliferous plants associated with Apis mellifera foraging in the Soconusco region of Chiapas, Mexico. The collection includes 204 micrographs of pollen grains and metadata for 62 plant species, sampled between February and March 2024.
DOI: 10.17632/23n8bynpc2.1
title: Atlas_Pollen_Soconusco_Datase

description: This dataset contains the photographic and descriptive pollen atlas of melliferous plants associated with Apis mellifera foraging in the Soconusco region of Chiapas, Mexico. The collection includes 204 micrographs of pollen grains and metadata for 62 plant species, sampled between February and March 2024.
DOI: 10.17632/98hdyhxf58
title: Student Performance Prediction Dataset.

description: This dataset contains the research-ready, preprocessed version of the publicly available Student Performance dataset originally compiled by Cortez and Silva (2008). The original dataset includes academic achievement records from two Portuguese secondary schools, along with demographic, socio-economic, behavioral, and school-related attributes. The raw data used in this research was obtained from Kaggle at:
https://www.kaggle.com/datasets/henryshan/student-performance-prediction
.

For the purposes of the study, several preparation steps were applied to produce the research-ready version uploaded here. These steps include data cleaning, label preparation, feature selection, transformation of academic grades (G1, G2, G3), harmonization of categorical variables, and formatting into a machine-learning friendly structure. No synthetic information or additional records were introduced. The uploaded dataset reflects exactly the data used in the final experiments of the study, enabling full reproducibility of the results.

This dataset supports the article “Explainable Machine Learning for Student Academic Performance Prediction in Data-Constrained Educational Settings.” The authors of the study do not claim ownership of the original dataset. All rights, authorship, and credit for the original data belong to the original creators and the Kaggle uploader. This upload serves solely to preserve the exact version of the dataset used for reproducibility in accordance with open-science practices.
keywords: Student Performance Prediction, Machine Learning, Fairness Auditing, Interpretability Stability, Dataset Constraint.
Original Source Credit:
Cortez, P., & Silva, A. (2008). “Using Data Mining to Predict Secondary School Student Performance.”
Available through Kaggle at: https://www.kaggle.com/datasets/henryshan/student-performance-prediction
DOI: 10.17632/98hdyhxf58.1
title: Student Performance Prediction Dataset.

description: This dataset contains the research-ready, preprocessed version of the publicly available Student Performance dataset originally compiled by Cortez and Silva (2008). The original dataset includes academic achievement records from two Portuguese secondary schools, along with demographic, socio-economic, behavioral, and school-related attributes. The raw data used in this research was obtained from Kaggle at:
https://www.kaggle.com/datasets/henryshan/student-performance-prediction
.

For the purposes of the study, several preparation steps were applied to produce the research-ready version uploaded here. These steps include data cleaning, label preparation, feature selection, transformation of academic grades (G1, G2, G3), harmonization of categorical variables, and formatting into a machine-learning friendly structure. No synthetic information or additional records were introduced. The uploaded dataset reflects exactly the data used in the final experiments of the study, enabling full reproducibility of the results.

This dataset supports the article “Explainable Machine Learning for Student Academic Performance Prediction in Data-Constrained Educational Settings.” The authors of the study do not claim ownership of the original dataset. All rights, authorship, and credit for the original data belong to the original creators and the Kaggle uploader. This upload serves solely to preserve the exact version of the dataset used for reproducibility in accordance with open-science practices.
keywords: Student Performance Prediction, Machine Learning, Fairness Auditing, Interpretability Stability, Dataset Constraint.
Original Source Credit:
Cortez, P., & Silva, A. (2008). “Using Data Mining to Predict Secondary School Student Performance.”
Available through Kaggle at: https://www.kaggle.com/datasets/henryshan/student-performance-prediction
DOI: 10.5281/zenodo.17250698
title: Dataset of the manuscript entitled "Diagnosis, Management, and Prevention of Bronchiolitis in Primary Care: A Survey of Italian Family Paediatricians"
DOI: 10.5281/zenodo.17144146
title: Dataset of the manuscript entitled "Diagnosis, Management, and Prevention of Bronchiolitis in Primary Care: A Survey of Italian Family Paediatricians"
DOI: 10.15468/dl.shxz7x
title: Occurrence Download

description: A dataset containing 34453 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "MediaType is Image",
 "OccurrenceStatus is Present",
 "VerbatimScientificName is Chroicocephalus ridibundus",
 "Year 2025-2025"
 ]
}

 The dataset includes 34453 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044804-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gf2xqr
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ludioctenus cyprius"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044807-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rv6226
title: Occurrence Download

description: A dataset containing 3720 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lycaena phlaeas",
 "HasCoordinate is true",
 "Geometry POLYGON ((6.224439 46.56151, 6.224439 48.43216, 8.984551 48.43216, 8.984551 46.56151, 6.224439 46.56151))",
 "Year is greater than or equal to 2020",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 3720 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044809-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pmcse6
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-111.2688 27.59913, -111.1188 27.59913, -111.1188 27.74913, -111.2688 27.74913, -111.2688 27.59913))"
 ]
}

 The dataset includes 31 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044806-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.31899
title: Research Data of Government Public Data Disclosure and Corporate ESG Performance
title: Research Data of Government Public Data Disclosure and Corporate ESG Performance

description: We use A-share listed companies on the Shanghai and Shenzhen Stock Exchanges from 2009 to 2021 as our research sample. The staggered launch of public data platforms by prefecture-level city governments provides a quasi-natural experimental setting for our analysis. Our primary data source is the China Stock Market & Accounting Research (CSMAR) database. To ascertain the precise launch dates of these government public data platforms, we reference Fudan University’s “China Local Open government public data Report,” supplementing and verifying this information through manual website queries.
description: We use A-share listed companies on the Shanghai and Shenzhen Stock Exchanges from 2009 to 2021 as our research sample. The staggered launch of public data platforms by prefecture-level city governments provides a quasi-natural experimental setting for our analysis. Our primary data source is the China Stock Market & Accounting Research (CSMAR) database. To ascertain the precise launch dates of these government public data platforms, we reference Fudan University’s “China Local Open government public data Report,” supplementing and verifying this information through manual website queries.
DOI: 10.15468/dl.xnr5z2
title: Occurrence Download

description: A dataset containing 32523 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "MediaType is Image",
 "OccurrenceStatus is Present",
 "VerbatimScientificName is Motacilla alba",
 "Year 2025-2025"
 ]
}

 The dataset includes 32523 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044808-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/c55h6sdfth
title: data.perc

description: dataset of perceptual experiment
DOI: 10.17632/c55h6sdfth.1
title: data.perc

description: dataset of perceptual experiment