cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18449143
title: ABOLITIONISMINTHENORTHANDTHESOUTHOFAMERICAINTHE19THCENTURY

description: This article presents a comprehensive literary and historical analysis of abolitionism in the Northern and Southern United States during the nineteenth century. Abolitionism is examined not as a unified national movement but as a regionally differentiated ideological phenomenon shaped by distinct economic systems, social structures, and cultural values. The study emphasizes the crucial role of literature as a medium through which abolitionist and anti-abolitionist ideas were articulated, disseminated, and contested.

       The primary objective of the research is to identify and compare the ideological foundations of Northern abolitionist discourse and Southern pro-slavery rhetoric, with particular attention to their representation in literary texts. The article seeks to demonstrate how literature functioned both as a reflection of historical realities and as an active instrument of moral persuasion and ideological resistance. In the Northern states, abolitionist literature emerged as a powerful force aimed at mobilizing public opinion against slavery, while in the Southern states literary and political discourse largely served to justify and preserve the slaveholding system.

      Methodologically, the study adopts an interdisciplinary qualitative approach that combines historical analysis, comparative literary criticism, and discourse analysis. Primary sources include abolitionist novels, autobiographical narratives, essays, and pro-slavery texts, while secondary sources consist of scholarly works in American history and literary studies. This methodological framework enables a balanced examination of abolitionism as both a socio-political movement and a cultural-literary phenomenon.

     The discussion highlights significant thematic and rhetorical contrasts between Northern and Southern texts. Northern abolitionist writers employed sentimentalism, realism, and moral argumentation to expose the brutality of slavery and evoke empathy for enslaved individuals. In contrast, Southern discourse constructed an idealized image of plantation life, emphasizing paternalism, racial hierarchy, and social stability, while portraying abolitionism as a dangerous and radical ideology.

      The results of the study demonstrate that literature played a decisive role in deepening sectional divisions and intensifying ideological polarization in the decades preceding the American Civil War. By revealing how competing literary narratives shaped regional identities and moral worldviews, the article underscores the scholarly value of abolitionist literature as a vital source for understanding nineteenth-century American history and culture.
DOI: 10.15468/dl.3svyhp
title: Occurrence Download

description: A dataset containing 399 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Christiana africana",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 399 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005009-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.34730.68807
title: Moluscos ibéricos. Material docente: Glycymeris nummaria
DOI: 10.15468/dl.fk92ws
title: Occurrence Download

description: A dataset containing 610 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clappertonia ficifolia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 610 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005011-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18449169
title: Daten der Notaufnahmesurveillance

description: Der Datensatz "Daten der Notaufnahmesurveillance" wird durch das Robert Koch-Institut und das AKTIN-Notaufnahmeregister bei Krankenhausaufnahmen bereitgestellt. Der Datensatz beinhaltet aggregierte Routinedaten aus deutschen Notaufnahmen zur syndromischen Überwachung von akuten Erkrankungen. Dazu zählen grippeähnliche Erkrankungen (ILI), Coronavirus-Erkrankungen (COVID-19), akute respiratorische Erkrankungen (ARE), gastrointestinale Infektionen (GI) und schwere akute respiratorische Infektionen (SARI). Dabei wird der relative Anteil dieser Erkrankungen an der Gesamtzahl der Notaufnahmevorstellungen sowie die berechneten Erwartungswerte und Prädiktionsintervalle ausgewiesen. Die Daten sind nach Notaufnahmetypen und Altersgruppen aggregiert. Damit bietet der Datensatz eine wertvolle Ressource für die Forschung im Bereich der Notfallmedizin und der Überwachung akuter Gesundheitsereignisse in Deutschland.
DOI: 10.5281/zenodo.18449028
title: nannopetersius_mutambuei_spades_01.fasta.gz
DOI: 10.5281/zenodo.18449027
title: nannopetersius_mutambuei_spades_01.fasta.gz
DOI: 10.15468/dl.8y5nc9
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Colona aequilateralis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005014-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18449170
title: MORPHOLOGICALFEATURESOFPERIARTICULARPOCKETSINEXPERIMENTALOSTEOARTHRITIS

description: Experimental osteoarthritis (OA) serves as a pivotal model for investigating joint degeneration, with a particular emphasis on the morphological alterations in periarticular structures such as synovial pockets, bursae, and adjacent tissues. This comprehensive study delves into the histological and morphological characteristics of periarticular pockets in a rabbit knee OA model induced by medial meniscus tear, incorporating advanced imaging and quantitative analyses. Histological examinations disclosed pronounced changes, including synovial hyperplasia, neovascularization, fibrosis, inflammatory infiltrates, and hypertrophic transformations in chondrocytes within the periarticular bursae. Quantitative metrics indicated expanded bursal areas, heightened expression of markers like collagen type X (COL10A1), matrix metalloproteinase-13 (MMP-13), vascular endothelial growth factor (VEGF), and alpha-smooth muscle actin (α-SMA), alongside structural remodeling reminiscent of endochondral ossification processes. The integration of six intricate tables elucidates various histological parameters, supplemented by one bar chart depicting severity scores across experimental cohorts and one pie chart illustrating the proportional distribution of pathological features. Each visual element is accompanied by detailed descriptions comprising 8-12 sentences, elucidating correlations with OA progression and potential mechanistic implications. Findings underscore the contributory role of periarticular pocket modifications in exacerbating pain, stiffness, and functional impairments, thereby providing novel insights for therapeutic strategies targeting these structures. Furthermore, this research highlights the interplay between periarticular inflammation and overall joint pathology, substantiated by references from high-impact, indexed journals, ensuring scientific accuracy and contemporary relevance.
DOI: 10.5281/zenodo.18449171
title: MORPHOLOGICALFEATURESOFPERIARTICULARPOCKETSINEXPERIMENTALOSTEOARTHRITIS

description: Experimental osteoarthritis (OA) serves as a pivotal model for investigating joint degeneration, with a particular emphasis on the morphological alterations in periarticular structures such as synovial pockets, bursae, and adjacent tissues. This comprehensive study delves into the histological and morphological characteristics of periarticular pockets in a rabbit knee OA model induced by medial meniscus tear, incorporating advanced imaging and quantitative analyses. Histological examinations disclosed pronounced changes, including synovial hyperplasia, neovascularization, fibrosis, inflammatory infiltrates, and hypertrophic transformations in chondrocytes within the periarticular bursae. Quantitative metrics indicated expanded bursal areas, heightened expression of markers like collagen type X (COL10A1), matrix metalloproteinase-13 (MMP-13), vascular endothelial growth factor (VEGF), and alpha-smooth muscle actin (α-SMA), alongside structural remodeling reminiscent of endochondral ossification processes. The integration of six intricate tables elucidates various histological parameters, supplemented by one bar chart depicting severity scores across experimental cohorts and one pie chart illustrating the proportional distribution of pathological features. Each visual element is accompanied by detailed descriptions comprising 8-12 sentences, elucidating correlations with OA progression and potential mechanistic implications. Findings underscore the contributory role of periarticular pocket modifications in exacerbating pain, stiffness, and functional impairments, thereby providing novel insights for therapeutic strategies targeting these structures. Furthermore, this research highlights the interplay between periarticular inflammation and overall joint pathology, substantiated by references from high-impact, indexed journals, ensuring scientific accuracy and contemporary relevance.
DOI: 10.15468/dl.6jpv9q
title: Occurrence Download

description: A dataset containing 396 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Corchorus capsularis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 396 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005017-260129131611470/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.31223794
title: <b>Landslide Susceptibility Assessment and Interpretability Analysis Based on Causal Inference: A Case Study of Foshan, China</b>

description: The growth of urbanization has increased the frequency of landslide hazards. Exploring the landslide susceptibility mapping (LSM) provides valuable scientific guidance for landslide prevention and mitigation efforts. However, existing studies only reveal the correlation between driving factors and landslides, while neglecting the complex interactions among landslide factors. To tackle these problems, this study introduced causal inference into machine learning methods to uncover causal relationships of driving factors. Firstly, the fast causal inference algorithm is employed to analyze the causal structure of driving factors and validate crucial factors using machine learning. Then, counterfactual inference is used to analyze the causal effects of driving factors. Foshan City, China, was selected as the study area. The experimental results indicate that causal methods are more effective in accurately identifying and explaining the key factors driving landslides. XGBoost can achieve an accuracy of 86.42% using the six crucial factors identified by the causal method. Correlation-based methods requiring more driving factors only attained lower performance. The counterfactual inference experiment indicates that different interventions exhibit spatial heterogeneity, and combined treatment strategies are the primary options for mitigating landslides. Therefore, causal inference offers a novel perspective to analyze and treat landslide susceptibility.
DOI: 10.6084/m9.figshare.31223794.v2
title: <b>Landslide Susceptibility Assessment and Interpretability Analysis Based on Causal Inference: A Case Study of Foshan, China</b>

description: The growth of urbanization has increased the frequency of landslide hazards. Exploring the landslide susceptibility mapping (LSM) provides valuable scientific guidance for landslide prevention and mitigation efforts. However, existing studies only reveal the correlation between driving factors and landslides, while neglecting the complex interactions among landslide factors. To tackle these problems, this study introduced causal inference into machine learning methods to uncover causal relationships of driving factors. Firstly, the fast causal inference algorithm is employed to analyze the causal structure of driving factors and validate crucial factors using machine learning. Then, counterfactual inference is used to analyze the causal effects of driving factors. Foshan City, China, was selected as the study area. The experimental results indicate that causal methods are more effective in accurately identifying and explaining the key factors driving landslides. XGBoost can achieve an accuracy of 86.42% using the six crucial factors identified by the causal method. Correlation-based methods requiring more driving factors only attained lower performance. The counterfactual inference experiment indicates that different interventions exhibit spatial heterogeneity, and combined treatment strategies are the primary options for mitigating landslides. Therefore, causal inference offers a novel perspective to analyze and treat landslide susceptibility.
DOI: 10.6084/m9.figshare.31223794.v1
title: <b>Landslide Susceptibility Assessment and Interpretability Analysis Based on Causal Inference: A Case Study of Foshan, China</b>

description: The growth of urbanization has increased the frequency of landslide hazards. Exploring the landslide susceptibility mapping (LSM) provides valuable scientific guidance for landslide prevention and mitigation efforts. However, existing studies only reveal the correlation between driving factors and landslides, while neglecting the complex interactions among landslide factors. To tackle these problems, this study introduced causal inference into machine learning methods to uncover causal relationships of driving factors. Firstly, the fast causal inference algorithm is employed to analyze the causal structure of driving factors and validate crucial factors using machine learning. Then, counterfactual inference is used to analyze the causal effects of driving factors. Foshan City, China, was selected as the study area. The experimental results indicate that causal methods are more effective in accurately identifying and explaining the key factors driving landslides. XGBoost can achieve an accuracy of 86.42% using the six crucial factors identified by the causal method. Correlation-based methods requiring more driving factors only attained lower performance. The counterfactual inference experiment indicates that different interventions exhibit spatial heterogeneity, and combined treatment strategies are the primary options for mitigating landslides. Therefore, causal inference offers a novel perspective to analyze and treat landslide susceptibility.
DOI: 10.5281/zenodo.18448994
title: hypsolebias_virgulatus_spades_01.fasta.gz
DOI: 10.5281/zenodo.18448995
title: hypsolebias_virgulatus_spades_01.fasta.gz
DOI: 10.5281/zenodo.18425195
title: Pangenome-based analysis of genomic variation in eggplant
DOI: 10.5281/zenodo.18425194
title: Pangenome-based analysis of genomic variation in eggplant
DOI: 10.5281/zenodo.18448979
title: nannopetersius_mutambuei_spades_01.fasta.gz
DOI: 10.5281/zenodo.18448980
title: nannopetersius_mutambuei_spades_01.fasta.gz
DOI: 10.15468/dl.bvpejf
title: Occurrence Download

description: A dataset containing 295 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chaerephon atsinanana",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 295 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005018-260129131611470/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.31223821
title: Sustainability Assessment of Festival Events

description: This dataset contains survey data from 500 participants at a major international music festival, collected to examine the multidimensional influence mechanisms of sustainability practices (environmental, social, economic dimensions) on visitor behavioral intentions. The survey measured variables including environmental awareness, perceived value, tourist satisfaction, and behavioral support for sustainable practices. The data supports the findings of the study "Sustainability-Induced Loyalty in Festival Tourism: Examining the Mediating Pathways Between Sustainable Practices and Visitor Behavioral Support", which validates the direct and sequential mediating effects of sustainability practices on visitor behavior.
DOI: 10.6084/m9.figshare.31223821.v1
title: Sustainability Assessment of Festival Events

description: This dataset contains survey data from 500 participants at a major international music festival, collected to examine the multidimensional influence mechanisms of sustainability practices (environmental, social, economic dimensions) on visitor behavioral intentions. The survey measured variables including environmental awareness, perceived value, tourist satisfaction, and behavioral support for sustainable practices. The data supports the findings of the study "Sustainability-Induced Loyalty in Festival Tourism: Examining the Mediating Pathways Between Sustainable Practices and Visitor Behavioral Support", which validates the direct and sequential mediating effects of sustainability practices on visitor behavior.
DOI: 10.15468/dl.wfevyb
title: Occurrence Download

description: A dataset containing 1014 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Corchorus olitorius",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1014 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005020-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wmsm3y
title: Occurrence Download

description: A dataset containing 518026 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Solanum aculeatissimum, Bidens bipinnata, Erigeron canadensis, Chenopodium ficifolium, Chamaecrista mimosoides)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 518026 records from 2887 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004997-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16947885
title: Resultados de investigación, estancia en Universidad de Miami (2008)

description: Estos documentos son los resultados del proyecto de investigación llevado a cabo durante la estancia de cuatro meses de duración en la School of Communication de la Universidad de Miami en el año 2008, en el curso de mi formación predoctoral. 

El informe sobre la situación de salud en el condado de Miami-Dade, aquí incluido, era la primera fase del proyecto de investigación, que se había estructurado en tres fases. La segunda fase incluía las entrevistas en profundidad a periodistas especializados en salud, directivos de medios de comunicación y académicos del ámbito de la salud: el audio de las entrevistas también forma parte de este dataset. El análisis de las entrevistas y la publicación de sus resultados era la tercera fase del proyecto de investigación, que no pudo realizarse como estaba previsto. Estas entrevistas, por tanto, son material de investigación inédito en cuanto a su comunicación y publicación científica. 

La estancia de investigación fue acordada entre mi entonces director de tesis en la Universidad Complutense de Madrid, Ubaldo Cuesta, y el Decano Adjunto de la School of Communication, Leonardo Ferreira. La financiación corrió a cargo de Madrid Salud, en el marco de los acuerdos firmados con la Universidad Complutense de Madrid mediante artículos 83 de la LOU.
DOI: 10.5281/zenodo.16947886
title: Resultados de investigación, estancia en Universidad de Miami (2008)

description: Estos documentos son los resultados del proyecto de investigación llevado a cabo durante la estancia de cuatro meses de duración en la School of Communication de la Universidad de Miami en el año 2008, en el curso de mi formación predoctoral. 

El informe sobre la situación de salud en el condado de Miami-Dade, aquí incluido, era la primera fase del proyecto de investigación, que se había estructurado en tres fases. La segunda fase incluía las entrevistas en profundidad a periodistas especializados en salud, directivos de medios de comunicación y académicos del ámbito de la salud: el audio de las entrevistas también forma parte de este dataset. El análisis de las entrevistas y la publicación de sus resultados era la tercera fase del proyecto de investigación, que no pudo realizarse como estaba previsto. Estas entrevistas, por tanto, son material de investigación inédito en cuanto a su comunicación y publicación científica. 

La estancia de investigación fue acordada entre mi entonces director de tesis en la Universidad Complutense de Madrid, Ubaldo Cuesta, y el Decano Adjunto de la School of Communication, Leonardo Ferreira. La financiación corrió a cargo de Madrid Salud, en el marco de los acuerdos firmados con la Universidad Complutense de Madrid mediante artículos 83 de la LOU.
DOI: 10.15468/dl.cmvxrq
title: Occurrence Download

description: A dataset containing 1711 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ligiidae",
 "Year 2017-2019",
 "Continent is Europe",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Occurrence evidence, Observation)"
 ]
}

 The dataset includes 1711 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049832-250811113504898/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.28775294.v2
title: Sampling spiked Wishart eigenvalues

description: Efficient schemes for sampling from the eigenvalues of the Wishart distribution have recently been described for both the standard Wishart case (where the covariance matrix is the identity) and the spiked Wishart with a single spike (where the covariance matrix differs from the identity in a single entry on the diagonal). Here, we generalize these schemes to the spiked Wishart with an arbitrary number of spikes. This approach also applies to the spiked pseudo-Wishart distribution. We describe how to differentiate this procedure for the purposes of stochastic gradient descent, allowing the fitting of the eigenvalue distribution to some target distribution.