cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.71796/wits-figshare.31301623
title: Data from: Pneumococcal colonisation density: a new marker for disease severity in HIV-infected adults with pneumonia

description: Objective: A high genomic load of Pneumococcus from blood or cerebrospinal fluid has been associated with increased mortality. We aimed to analyse whether nasopharyngeal colonisation density in HIV-infected patients with community-acquired pneumonia (CAP) is associated with markers of disease severity or poor outcome. Methods: Quantitative lytA real-time PCR was performed on nasopharyngeal swabs in HIV-infected South African adults hospitalised for acute CAP at Chris Hani Baragwanath Hospital, Soweto, South Africa. Pneumonia aetiology was considered pneumococcal if any sputum culture or Gram stain, urinary pneumococcal C-polysaccharide-based antigen, blood culture or whole blood lytA real-time PCR revealed pneumococci. Results: There was a moderate correlation between the mean nasopharyngeal colonisation densities and increasing CURB65 scores among all-cause patients with pneumonia (Spearman correlation coefficient r=0.15, p=0.06) or with the Pitt bacteraemia score among patients with pneumococcal bacteraemia (p=0.63). In patients with pneumococcal pneumonia, nasopharyngeal pneumococcal colonisation density was higher among non-survivors than survivors (7.7 vs 6.1 log10 copies/mL, respectively, p=0.02) and among those who had pneumococci identified from blood cultures and/or by whole blood lytA real-time PCR than those with non-bacteraemic pneumococcal pneumonia (6.6 vs 5.6 log10 copies/mL, p=0.03). Nasopharyngeal colonisation density correlated positively with the biomarkers procalcitonin (Spearman correlation coefficient r=0.37, p&lt;0.0001), proadrenomedullin (r=0.39, p=0.008) and copeptin (r=0.30, p=0.01). Conclusions: In addition to its previously reported role as a diagnostic tool for pneumococcal pneumonia, quantitative nasopharyngeal colonisation density also correlates with mortality and prognostic biomarkers. It may also be useful as a severity marker for pneumococcal pneumonia in HIV-infected adults.
DOI: 10.71796/wits-figshare.31301623.v1
title: Data from: Pneumococcal colonisation density: a new marker for disease severity in HIV-infected adults with pneumonia

description: Objective: A high genomic load of Pneumococcus from blood or cerebrospinal fluid has been associated with increased mortality. We aimed to analyse whether nasopharyngeal colonisation density in HIV-infected patients with community-acquired pneumonia (CAP) is associated with markers of disease severity or poor outcome. Methods: Quantitative lytA real-time PCR was performed on nasopharyngeal swabs in HIV-infected South African adults hospitalised for acute CAP at Chris Hani Baragwanath Hospital, Soweto, South Africa. Pneumonia aetiology was considered pneumococcal if any sputum culture or Gram stain, urinary pneumococcal C-polysaccharide-based antigen, blood culture or whole blood lytA real-time PCR revealed pneumococci. Results: There was a moderate correlation between the mean nasopharyngeal colonisation densities and increasing CURB65 scores among all-cause patients with pneumonia (Spearman correlation coefficient r=0.15, p=0.06) or with the Pitt bacteraemia score among patients with pneumococcal bacteraemia (p=0.63). In patients with pneumococcal pneumonia, nasopharyngeal pneumococcal colonisation density was higher among non-survivors than survivors (7.7 vs 6.1 log10 copies/mL, respectively, p=0.02) and among those who had pneumococci identified from blood cultures and/or by whole blood lytA real-time PCR than those with non-bacteraemic pneumococcal pneumonia (6.6 vs 5.6 log10 copies/mL, p=0.03). Nasopharyngeal colonisation density correlated positively with the biomarkers procalcitonin (Spearman correlation coefficient r=0.37, p&lt;0.0001), proadrenomedullin (r=0.39, p=0.008) and copeptin (r=0.30, p=0.01). Conclusions: In addition to its previously reported role as a diagnostic tool for pneumococcal pneumonia, quantitative nasopharyngeal colonisation density also correlates with mortality and prognostic biomarkers. It may also be useful as a severity marker for pneumococcal pneumonia in HIV-infected adults.
DOI: 10.15468/dl.znqedq
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belize",
 "DatasetKey is University of Michigan Museum of Zoology, Microbes, Parasites, and Biodiversity Initiative",
 "TaxonKey is one of (Eptesicus furinalis, Saccopteryx bilineata)",
 "Year 2025-2026"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003401-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60905/1tlt1f
title: Rechazan cambio de consejo, estudiantes de la UdeA

description: &lt;p&gt; En asamblea general de estudiantes celebrada el d��a de ayer, se rechaz�� las nuevas designaciones por decreto del ejecutivo central sobre la estructura del CSU, los estudiantes defienden el organismo provisional que ven��a trabajando y no las nuevas determinaciones al respecto. Tambi��n prim�� la tendencia de seguir en clases pues no existen condiciones para determinar un paro y condenaron los llamados consejos de guerra verbales contra los estudiantes detenidos en las manifestaciones.&lt;/p&gt;
description: CONTEXTO DE LA NOTICIA: FMI acoge tesis colombiana sobre el mercado; Acuerdos Rusos-Americanos; asesinatos en aeropuerto de Tel Aviv; se crea corporaci��n pro-r��gimen Federal; oposici��n de Antioquia a valorizaci��n de autopista Med-Bog; Proceso de urbanizaci��n en Medell��n.
DOI: 10.15468/dl.ugm2ru
title: Occurrence Download

description: A dataset containing 226839 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coscinodiscus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 226839 records from 850 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003322-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/knhuws
title: Checklist of the Sarcophagidae (Diptera) of Croatia, with new records from Croatia and other Mediterranean countries

description: This dataset contains the digitized treatments in Plazi based on the original journal article Krcmar, Stjepan, Whitmore, Daniel, Pape, Thomas, Buenaventura, Eliana (2019): Checklist of the Sarcophagidae (Diptera) of Croatia, with new records from Croatia and other Mediterranean countries. ZooKeys 831: 95-155, DOI: http://dx.doi.org/10.3897/zookeys.831.30795, URL: http://dx.doi.org/10.3897/zookeys.831.30795
DOI: 10.15468/dl.v3exxh
title: Occurrence Download

description: A dataset listing the 971 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.95436 4.23647,-74.88537 4.23647,-74.88537 4.31037,-74.95436 4.31037,-74.95436 4.23647))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 971 records were derived from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003370-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aw8aqd
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potamotrygon tatianae",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 15 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003406-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hxr2qd
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pisidium volutabundum"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003407-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mcwcf6
title: Occurrence Download

description: A dataset containing 909 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tephrosia juncea",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 909 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003404-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/pvtuaf
title: Revision of the Oxynoemacheilus angorae group with the description of two new species (Teleostei: Nemacheilidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Yoğurtçuoğlu, Baran, Kaya, Cüneyt, Freyhof, Jörg (2022): Revision of the Oxynoemacheilus angorae group with the description of two new species (Teleostei: Nemacheilidae). Zootaxa 5133 (4): 451-485, DOI: 10.11646/zootaxa.5133.4.1AbstractThe Oxynoemacheilus angorae species group is revised and 10 species are recognised, two of which are described herein as new. Oxynoemacheilus anatolicus, O. angorae, O. eregliensis, O. germencicus, O. isauricus, O. nasreddini, O. mediterraneus, and O. theophilii are endemic to west and Central Anatolia. Oxynoemacheilus cinicus and O. mesudae, both from Büyük Menderes River drainage, are synonyms of O. germencicus. As First Revisers, we give priority to Oxynoemacheilus germencicus over O. cinicus. Oxynoemacheilus atili described from Lake Beyşehir basin is a synonym of O. eregliensis. Oxynoemacheilus axylos, new species, from endorheic Lake Tuz basin (Cihanbeyli, Gölyazı, Melendiz, and Samsam) is distinguished by possessing an almost truncate caudal-fin, a stout caudal peduncle, and elevated dorsal and ventral adipose crests. The new species is also distinguished by a minimum K2P sequence divergence of 1.6% in the mtDNA-COI barcode region from O. eregliensis, its closest relative. Oxynoemacheilus eliasi, new species, from the Küçük Menderes and Gediz River drainages, is distinguished by having small, embedded scales on the belly, a narrow suborbital groove in male, an emarginate caudal fin, the caudal peduncle depth 1.3–1.5 times in its length, and the body depth decreasing between the dorsal and caudal-fin bases. The new species is also distinguished by a minimum K2P sequence divergence of 2.7% in the mtDNA-COI barcode region from O. theophilii, its closest relative.
DOI: 10.5281/zenodo.18512026
title: IPN-UAN-23: A Dataset of Real Network Traffic with Embedded Malware Interactions from a University Honeynet

description: This dataset contains approximately 13 GB of curated PCAP files generated by an automated honeynet platform deployed on a live university network. Each file represents a complete interaction session of a cyber attack, with embedded active malware samples including Mirai botnet traffic, trojans, ransomware, and downloaders. The dataset is intended for research in encrypted traffic analysis, malware detection, and intrusion detection systems (IDS). Due to the presence of active malware and potential exposure of sensitive network information from a production environment, access is restricted. Researchers may request access for academic purposes via the Zenodo platform, subject to a data use agreement.
DOI: 10.5281/zenodo.18512027
title: IPN-UAN-23: A Dataset of Real Network Traffic with Embedded Malware Interactions from a University Honeynet

description: This dataset contains approximately 13 GB of curated PCAP files generated by an automated honeynet platform deployed on a live university network. Each file represents a complete interaction session of a cyber attack, with embedded active malware samples including Mirai botnet traffic, trojans, ransomware, and downloaders. The dataset is intended for research in encrypted traffic analysis, malware detection, and intrusion detection systems (IDS). Due to the presence of active malware and potential exposure of sensitive network information from a production environment, access is restricted. Researchers may request access for academic purposes via the Zenodo platform, subject to a data use agreement.
DOI: 10.15468/dl.y94p5e
title: Occurrence Download

description: A dataset containing 3192731686 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3192731686 records from 50580 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003257-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/m9w-nma-9l4
title: Conus milneedwardsi Jousseaume, 1894

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/004-z92-dza
title: Skeneopsis planorbis (O. Fabricius, 1780)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1h8-89q-0tl
title: Architectonica nobilis Röding, 1798

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xy9-g8z-t37
title: Clausilia rugosa parvula (A. Férussac, 1807)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/c32-xwf-pgp
title: Albinaria ithomensis H. Nordsieck, 1984

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hd4-re0-9p2
title: Ondina de Folin, 1870

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/j3q-a0k-r9c
title: Gastrocopta Wollaston, 1878

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vh5-7ny-9f7
title: Tivela geijskesi van Regteren Altena, 1968

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rr6-cy2-1k1
title: Albinaria ariadne Schilthuizen & E. Gittenberger, 1991

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/etj-zkg-aye
title: Chilostoma achates cingulinum (Deshayes, 1839)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sg4-8bc-j32
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2l7-7lg-eny
title: Agathylla exarata exarata (Rossmässler, 1835)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cs5-be9-zm2
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kch-kp8-phg
title: Cochlodina laminata laminata (Montagu, 1803)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4yz-7d0-w4c
title: Phorcus lineatus (da Costa, 1778)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zza-1jc-s2e
title: Macrogastra attenuata lineolata (Held, 1836)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7e6-6cd-xfa
title: Vallonia pulchella (O. F. Müller, 1774)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7q0-ka7-gge
title: Gonyodiscus rotundatus (O. F. Müller, 1774)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/11l-tr4-vmn
title: Stewartia floridana (Conrad, 1833)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/q7a-s7e-5ka
title: Psiloteredo megotara (Hanley, 1848)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vxd-3m0-wzn
title: Pseudozonaria annettae (Dall, 1909)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bbr-fy7-vjx
title: Alvania lavaleyei Hoenselaar & Goud, 1998

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wd2-0x8-g88
title: Valvata piscinalis (O. F. Müller, 1774)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dnd-and-ba6
title: Cochlodina laminata laminata (Montagu, 1803)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zb5-5yt-wbf
title: Metaxia carinapex van der Linden, 1998

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/678-4j5-6dg
title: Orania ficula (Reeve, 1848)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0kq-6l9-lev
title: Macrogastra attenuata modulata (A. Schmidt, 1856)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3gs-3gl-5r8
title: Nassarius elegantissimus Shuto, 1969

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/j6e-ka6-mst
title: Clausilia corynodes Held, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vw5-gw9-ejw
title: Herilla bosniensis bosniensis (v. Vest, 1867)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qjr-h6l-gcf
title: Mastus itanosensis Maassen, 1995

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/17e-y46-6c4
title: Dallitellina rostrata (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/q4r-xsa-x4z
title: Helicella itala (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bkq-g81-cka
title: Alinda biplicata biplicata (Montagu, 1803)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/10j-qda-nep
title: Diplommatina celebensis Maassen, 2007

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gqr-ka4-a6l
title: Conus imperialis Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0hp-5a5-s30
title: Mammilla simiae (Deshayes, 1838)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/f3n-2sl-dhc
title: Ocenebra edwardsii (Payraudeau, 1826)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bm8-gvz-5kb
title: Alvania beanii (Hanley, 1844)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.16459131
title: Student Performance and Learning Behavior Dataset for Educational Analytics

description: The dataset used in this study integrates quantitative data on student learning behaviors, engagement patterns, demographics, and academic performance. It was compiled by merging two publicly available Kaggle datasets, resulting in a combined file (“merged_dataset.csv”) containing 14,003 student records with 16 attributes. All records are anonymized and contain no personally identifiable information.

The dataset covers the following categories of variables:



Study behaviors and engagement: StudyHours, Attendance, Extracurricular, AssignmentCompletion, OnlineCourses, Discussions



Resource access and learning environment: Resources, Internet, EduTech




Motivation and psychological factors: Motivation, StressLevel




Demographic information: Gender, Age (ranging from 18 to 30 years)




Learning preference classification: LearningStyle




Academic performance indicators: ExamScore, FinalGrade



In this study, “ExamScore” and “FinalGrade” served as the primary performance indicators. The remaining variables were used to derive behavioral and contextual profiles, which were clustered using unsupervised machine learning techniques.

 

The analysis and modeling were implemented in Python through a structured Jupyter Notebook (“Project.ipynb”), which included the following main steps:





Environment Setup – Import of essential libraries (NumPy, pandas, Matplotlib, Seaborn, SciPy, StatsModels, scikit-learn, imbalanced-learn) and visualization configuration.




Data Import and Integration – Loading the two source CSV files, harmonizing columns, removing irrelevant attributes, aligning formats, handling missing values, and merging them into a unified dataset (merged_dataset.csv).




Data Preprocessing –





Encoding categorical variables using LabelEncoder.




Scaling features using both z-score standardization (for statistical tests and PCA) and Min–Max normalization (for clustering).




Detecting and removing duplicates.






Clustering Analysis –





Applying K-Means clustering to segment learners into distinct profiles.




Determining the optimal number of clusters using the Elbow Method and Silhouette Score.




Evaluating cluster quality with internal metrics (Silhouette Score, Davies–Bouldin Index).






Dimensionality Reduction & Visualization – Using PCA for 2D/3D cluster visualization and feature importance exploration.




Mapping Clusters to Learning Styles – Associating each identified cluster with the most relevant learning style model based on feature patterns and alignment scores.




Statistical Analysis – Conducting ANOVA and regression to test for significant differences in performance between clusters.




Interpretation & Practical Recommendations – Analyzing cluster-specific characteristics and providing implications for adaptive and mobile learning integration.