cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/pn7h6yjt6k.2
title: Molecular and Pathological Characterization of Cervicovaginal Samples Reveals Protective Effects of Lactobacillus species Against HPV Infections, Bacterial Vaginosis, and Epithelial Cell Abnormalities

description: This dataset accompanies the manuscript “Molecular and pathological characterization of cervicovaginal samples reveals associations between Lactobacillus species, HPV infections, bacterial vaginosis, and cytological abnormalities” and comprises the raw, intermediate, and processed data used for epidemiological profiling, molecular analysis, statistical testing, interaction effect analysis, PCA, clustering, and machine learning modeling. It includes &gt;15,000 de-identified cervicovaginal samples collected by a CLIA-certified diagnostic laboratory in the United States between March 2023 and February 2024.

Each sample was tested using qPCR-based multiplex panels targeting Lactobacillus species, BV-associated bacteria, high-risk HPV genotypes, and other vaginal pathogens. Additional data include cytological diagnoses (Pap smear), patient demographics (age, gender, state of provider), and real-time qPCR concentration values. BV status was molecularly classified into BV-positive, BV-negative, and transitional BV based on concentration thresholds and combined bacterial profiles.

The dataset is organized as follows:

Dataset 1 – Epidemiology Stats: Aggregated demographics, HPV prevalence, cytology outcomes, and BV status distributions.

Dataset 2 – Association Analysis: Detailed qPCR results per pathogen with annotations for outcome classifications; includes derived prevalence and co-occurrence matrices.

Dataset 3 – Cytology & BV Outcomes: Binary and ordinal encoding of cytology and BV outcomes, filtered and pre-processed for regression and chi-square tests.

Dataset 4 – PCA, Clustering & ML: Scaled datasets used for principal component analysis, k-means clustering, feature importance extraction, and SHAP analysis across four classifiers (XGBoost, Random Forest, Decision Tree, Logistic Regression).

Supplementary Dataset 5 – Interaction Effects: Output tables from interaction term analysis (e.g., HPV–HPV, HPV–bacteria, Lactobacillus–bacteria) showing significant pairwise effects and q-values across multiple outcomes.

These datasets enable exploration of:

Microbial composition and distribution across patient subgroups.

Correlation and interaction between Lactobacillus spp., BV pathogens, HPV types, and cytological abnormalities.

Predictive power of microbial and demographic features for diagnosing BV and cytological changes.

The dataset is fully anonymized and compliant with HIPAA guidelines. It supports reproducibility and benchmarking of machine learning models in vaginal microbiome diagnostics and cervical cancer screening.
DOI: 10.17632/3d7h58d4k3.3
title: Burnout_Risks_Bangladeshi_Physicians_Survey_2019_2021

description: This dataset includes detailed burnout assessments and related factors for 1,434 Bangladeshi physicians, representing one of the largest studies of physician burnout in a lower-middle-income country. The breadth of variables (demographic, occupational, and personal factors alongside standardized burnout measures) offers a rich resource for understanding contributors to burnout in healthcare settings. Researchers can reuse these data to perform secondary analyses, such as cross-cultural comparisons of burnout prevalence and predictors, meta-analyses, or validation studies of burnout interventions. The data can also be leveraged to test new hypotheses (e.g. mediating factors or subgroup differences) beyond the scope of the initial analysis. Stakeholders in healthcare management and policy can utilize the aggregated insights from this dataset to identify critical risk factors for physician burnout in Bangladesh and similar contexts. By highlighting factors like workload, workplace conflicts, job satisfaction, and personal well-being, the data can guide targeted interventions (such as wellness programs or organizational policy changes) to mitigate burnout. The burnout levels in this dataset were measured using the validated Maslach Burnout Inventory (MBI-HSS), ensuring reliability and comparability with international burnout research. In addition, the dataset contains responses to Likert-scale items on job-related sentiments (e.g., feeling annoyed with patients, perceived job security), which can facilitate nuanced analysis of how these sentiments correlate with burnout. Data were collected from 62 hospitals across urban and rural settings, capturing a diverse physician population from various specialties and job ranks. The large sample size and multicenter design enhance the generalizability of findings and allow subgroup analysis (for example, comparing burnout between different hospital types or between male and female physicians). Such granular analysis could help tailor interventions to specific groups of physicians most at risk.
DOI: 10.17632/6dx63jpwz3
title: SA Holsteins pedigree population

description: The dataset is composed of Animal Computer number, Date of Birth, Sire and Dam IDs, Animal Section, Regions, Dame age at calving and date of death. This dataset requires permission from the Dairy Cattle Improvement Scheme. Sharing is by request through the corresponding author.
DOI: 10.17632/6dx63jpwz3.1
title: SA Holsteins pedigree population

description: The dataset is composed of Animal Computer number, Date of Birth, Sire and Dam IDs, Animal Section, Regions, Dame age at calving and date of death. This dataset requires permission from the Dairy Cattle Improvement Scheme. Sharing is by request through the corresponding author.
DOI: 10.17632/kpf792wgsf.1
title: Dataset and Code for IoT-Based WISNE-SDN Detection and DDOS Attack mitigation using machine learning techniques

description: There are using two datasets, one is UNSW_2018_IoT_Botnet_Final_10_best_Training.csv and dataset_sdn.csv, the dataset is,
1. UNSW_2018_IoT_Botnet_Final_10_best_Training.csv is a refined training dataset derived from the larger UNSW 2018 IoT Botnet dataset. It focuses on the ten most significant features selected through feature selection techniques, enabling efficient and effective model training. The dataset is designed for intrusion detection and includes both benign and malicious traffic, particularly emphasizing botnet activity in IoT environments. Each record consists of traffic flow attributes such as packet counts, byte sizes, durations, and statistical measures relevant to flow behavior. This selection aims to balance model accuracy and computational cost, making it suitable for building lightweight machine learning models for real-time IoT threat detection. The dataset reflects realistic IoT traffic scenarios by incorporating attacks like DDoS, information theft, and reconnaissance, captured using various tools and emulation techniques.
2. dataset_sdn.csv is a dataset structured for evaluating security mechanisms in Software Defined Networking (SDN) environments. It contains network flow records that represent both normal and attack traffic, enabling classification and detection tasks. The dataset is typically generated in a controlled SDN testbed and includes features like source and destination IP addresses, ports, protocols, packet lengths, flow durations, and flags. Attack types might include DDoS, probing, and spoofing attacks, reflecting vulnerabilities specific to SDN-based networks. The dataset is often used to test anomaly-based intrusion detection systems in SDN controllers, where traffic patterns can be analyzed and malicious behavior flagged using machine learning techniques. It serves as a crucial resource for research in SDN security and intelligent traffic management. and also developing codes added in this datas.
DOI: 10.17632/7x98cvr4yx.5
title: Do isolated trees affect tadpole community and secondary production in ponds in an impacted biodiversity hotspot?

description: This dataset contains information collected during an experiment conducted in 2021-2022 in the Atlantic Forest, Cachoeiras de Macacu, RJ, Brazil. The data include metrics of secondary production, biomass, and tadpole community density under three treatments: pools under isolated trees, near the forest edge, and in open pasture.
DOI: 10.17632/cyzfysb5nd
title: Annex_EU_border-regions_GDPcycle

description: This Dataset presents the detailed analysis results and charts outlining the course of business cycles in the EU border regions.
DOI: 10.15468/dl.nb9bdd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Abelmoschus moschatus",
 "Country is Tonga",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071501-250525065834625/datasets/export for details.
DOI: 10.17632/cyzfysb5nd.4
title: Annex_EU_border-regions_GDPcycle

description: This Dataset presents the detailed analysis results and charts outlining the course of business cycles in the EU border regions.
DOI: 10.17632/j9mpp8svbm
title: An economic block model of a hypothetical ferromanganese crust deposit at Fryer Guyot

description: This dataset provides supplementary information used to develop an economic block model for a hypothetical ferromanganese crust deposit located at Fryer Guyot. The model was created to assess the value-generating design requirements of a potential crust mining system. Included in this dataset is an example from one of 50 simulated drill hole sets—comprising Survey.csv, Collar.csv, and Interval_30.csv—which were used to model the deposit in Leapfrog Geo. Also provided is the corresponding Leapfrog Geo project file (Fryer_Guyot_30.zip, in .aproj format), which includes the simulated drill holes, the bathymetry of the hypothetical mine site, and formulas for calculating the dollar value of ore blocks. The block model definition is supplied separately in Block_Model_30.csv.txt.
DOI: 10.17632/j9mpp8svbm.1
title: An economic block model of a hypothetical ferromanganese crust deposit at Fryer Guyot

description: This dataset provides supplementary information used to develop an economic block model for a hypothetical ferromanganese crust deposit located at Fryer Guyot. The model was created to assess the value-generating design requirements of a potential crust mining system. Included in this dataset is an example from one of 50 simulated drill hole sets—comprising Survey.csv, Collar.csv, and Interval_30.csv—which were used to model the deposit in Leapfrog Geo. Also provided is the corresponding Leapfrog Geo project file (Fryer_Guyot_30.zip, in .aproj format), which includes the simulated drill holes, the bathymetry of the hypothetical mine site, and formulas for calculating the dollar value of ore blocks. The block model definition is supplied separately in Block_Model_30.csv.txt.
DOI: 10.17632/gx742mmjtx
title: Behavioral and Pupillometry Data from Monkeys in a Pavlovian Anticipatory Arousal Task

description: This dataset contains behavioral performance and pupilometry measurements collected from rhesus macaques (Macaca mulatta) during a Pavlovian conditioning task. The data were used in the study "The orbitofrontal cortex underlies consolidation of Pavlovian anticipatory arousal responses in macaque monkeys." All analyses were conducted using MATLAB R2024b, and the dataset includes both the raw data and script files used to generate the study’s figures.
DOI: 10.17632/gx742mmjtx.2
title: Behavioral and Pupillometry Data from Monkeys in a Pavlovian Anticipatory Arousal Task

description: This dataset contains behavioral performance and pupilometry measurements collected from rhesus macaques (Macaca mulatta) during a Pavlovian conditioning task. The data were used in the study "The orbitofrontal cortex underlies consolidation of Pavlovian anticipatory arousal responses in macaque monkeys." All analyses were conducted using MATLAB R2024b, and the dataset includes both the raw data and script files used to generate the study’s figures.
DOI: 10.17632/g96n4r44ny
title: Flavonoids modulate regenerative-related cellular events in LPS-challenged dental pulp cells

description: The dataset of the research project FAPESP 2021/13096-2, published in https://doi.org/10.1016/j.jdent.2024.105424.
DOI: 10.17632/g96n4r44ny.1
title: Flavonoids modulate regenerative-related cellular events in LPS-challenged dental pulp cells

description: The dataset of the research project FAPESP 2021/13096-2, published in https://doi.org/10.1016/j.jdent.2024.105424.
DOI: 10.17632/89n45kv4pm
title: How does site origin affect the diversity and composition of the soil microbiome afforested with fast growing hybrid poplars?

description: The compressed "fastq_files" file contains the sequencing data for the ITS and 16S regions in fastq format.
The "samples_16S" and "samples_ITS" files contain information associated with each sample as well as soil properties.
The "MiSeqReadSet_2023-10-17" file contains additional data on the sequencing performed.
DOI: 10.17632/89n45kv4pm.1
title: How does site origin affect the diversity and composition of the soil microbiome afforested with fast growing hybrid poplars?

description: The compressed "fastq_files" file contains the sequencing data for the ITS and 16S regions in fastq format.
The "samples_16S" and "samples_ITS" files contain information associated with each sample as well as soil properties.
The "MiSeqReadSet_2023-10-17" file contains additional data on the sequencing performed.
DOI: 10.17632/fgy2tfy3bb
title: Patient-reported Psychosocial Impact of Alopecia Areata in China: A Multicenter Cross-Sectional Study

description: Supplement tables 1-5
DOI: 10.17632/fgy2tfy3bb.1
title: Patient-reported Psychosocial Impact of Alopecia Areata in China: A Multicenter Cross-Sectional Study

description: Supplement tables 1-5
DOI: 10.17632/sjrdnk32hg
title: Digital Innovation and Firm Internationalization: Insights from Publicly Listed Firms in China

description: This repository contains the code, data, and detailed instructions necessary to replicate the main results and figures presented in the paper. Due to data-sharing restrictions, we provide a synthetic dataset with anonymized firm identifiers, which reproduces all key findings.
Please read "readme.txt" first.
DOI: 10.17632/sjrdnk32hg.1
title: Digital Innovation and Firm Internationalization: Insights from Publicly Listed Firms in China

description: This repository contains the code, data, and detailed instructions necessary to replicate the main results and figures presented in the paper. Due to data-sharing restrictions, we provide a synthetic dataset with anonymized firm identifiers, which reproduces all key findings.
Please read "readme.txt" first.
DOI: 10.17632/494x3mccm3
title: Patient-reported Economic Burden of Alopecia Areata in China: A Multicenter Cross-Sectional Study

description: Supplement tables 1-5
DOI: 10.17632/494x3mccm3.1
title: Patient-reported Economic Burden of Alopecia Areata in China: A Multicenter Cross-Sectional Study

description: Supplement tables 1-5
DOI: 10.15468/dl.jcaqdk
title: Occurrence Download

description: A dataset containing 36515 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Taxon occurrence data for the FungalRoot database"
 ]
}

 The dataset includes 36515 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071502-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wmbz6k
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Calochortus purpureus (Kunth) Baker"
 ]
}

 The dataset includes 206 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071504-250525065834625/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.29402006
title: Removed

description: inDelphi test file
DOI: 10.6084/m9.figshare.29402006.v3
title: Removed

description: inDelphi test file
DOI: 10.6084/m9.figshare.29402006.v2
title: chr1_1_150000000

description: inDelphi test file
DOI: 10.15468/dl.62un9s
title: Occurrence Download

description: A dataset containing 196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.78669 -15.69123,-72.85048 -16.62108,-70.60448 -18.4855,-69.92681 -18.30177,-69.17169 -16.60253,-71.12726 -15.206,-73.25708 -15.03778,-74.78669 -15.69123))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Geositta punensis Dabbene, 1917"
 ]
}

 The dataset includes 196 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071505-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15753880
title: Estereotipos de género asociados a la maetrnidad y paternidad en un contexto universitario

description: Se disponen la guía del cuestionario aplicado en la investigación así como las bases de datos elaboradas y los gráficos y tablas resultado del procesamiento de la información
DOI: 10.5281/zenodo.15753881
title: Estereotipos de género asociados a la maetrnidad y paternidad en un contexto universitario

description: Se disponen la guía del cuestionario aplicado en la investigación así como las bases de datos elaboradas y los gráficos y tablas resultado del procesamiento de la información
DOI: 10.15468/dl.ccmb8n
title: Occurrence Download

description: A dataset containing 25606 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ukraine",
 "GadmGid is UKR.3_1",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 25606 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071507-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8zsw7f
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-12.21320 31.51472,30.21320 31.51472,30.21320 48.48528,-12.21320 48.48528,-12.21320 31.51472))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Kermes vermilio Planchon, 1864"
 ]
}

 The dataset includes 40 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071508-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ubd7ra
title: Occurrence Download

description: A dataset containing 52735 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (Saint Vincent and the Grenadines, Grenada)"
 ]
}

 The dataset includes 52735 records from 423 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071520-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive4215.20241212.9.2
title: Pelobacter acidigallici Schink and Pfennig 1983

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0072442.10fu
title: SH0072442.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive4215.20251217.10
title: Pelobacter acidigallici Schink and Pfennig 1983

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive4216.20241212.9.2
title: Pelobacter acidigallici Schink and Pfennig 1983

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0072443.10fu
title: SH0072443.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive4216.20251217.10
title: Pelobacter acidigallici Schink and Pfennig 1983

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive4217.20241212.9.2
title: Pelobacter acidigallici Schink and Pfennig 1983

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive4217.20251217.10
title: Pelobacter acidigallici Schink and Pfennig 1983

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.