cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/x6bm565nxf.1
title: Strategic Governance for Crypto-based Entrepreneur

description: Literature review for Strategic Governance for Crypto-based Entrepreneur
DOI: 10.17632/sg87hrbmcm
title: Dupilumab Response in Children and Adolescents With Atopic Dermatitis Across Racial and Ethnic Groups: A Retrospective Cohort Study

description: Supplementary Figures 1-2 and Supplementary Tables 1-2
DOI: 10.17632/sg87hrbmcm.1
title: Dupilumab Response in Children and Adolescents With Atopic Dermatitis Across Racial and Ethnic Groups: A Retrospective Cohort Study

description: Supplementary Figures 1-2 and Supplementary Tables 1-2
DOI: 10.17632/rx48h6ykd7.2
title: Replication: Leverage, Liquidity and Investment

description: Codes to replication the results in the paper: Leverage, Liquidity, and Investment: The Cyclical Effects of Corporate Debt
DOI: 10.17632/3f8h66txd8
title: Stress–strain experimental data of CFRPs with different formulations using OP1230 as a flame-retardant additive

description: The experimental samples are flame-retardant carbon fiber reinforced polymer (CFRP) materials used for lithium-ion battery enclosures and hydrogen storage tanks. The dataset contains stress–strain data for 22 different raw material formulations, with multiple experimental trials conducted for each formulation.
The data files follow the naming format “a_b_200_shifted”, where a denotes the formulation number (with the corresponding mapping provided in a separate file) and b represents the trial index for that specific formulation.
DOI: 10.17632/3f8h66txd8.1
title: Stress–strain experimental data of CFRPs with different formulations using OP1230 as a flame-retardant additive

description: The experimental samples are flame-retardant carbon fiber reinforced polymer (CFRP) materials used for lithium-ion battery enclosures and hydrogen storage tanks. The dataset contains stress–strain data for 22 different raw material formulations, with multiple experimental trials conducted for each formulation.
The data files follow the naming format “a_b_200_shifted”, where a denotes the formulation number (with the corresponding mapping provided in a separate file) and b represents the trial index for that specific formulation.
DOI: 10.17632/tpzk9yjm3d.4
title: Magnetic Orbitals - The First Visual Revelation of Quantum Geometries in the Macroscopic World

description: Have the shapes of atomic orbitals ever been observed in the real world? 
This research presents the first experimental three-dimensional visualization of atomic orbital geometries.
By employing a bipolar Hall sensor in dynamic mode at a constant angle, magnetic field configurations were detected that are consistent - down to the finest detail - with the solutions of the Schrödinger equation for the hydrogen atom.
The results suggest a structural connection between the probabilistic concepts of quantum mechanics and observable macroscopic phenomena, proposing a new paradigm for unifying classical and quantum physics.
The entire work also provides a replicable guide for generating Magnetic Orbitals by scanning one or more Magnets - essentially sharing the method for making a MAGNETIC CT SCAN.
Official DOI: https://doi.org/10.5281/zenodo.15936280
DOI: 10.17632/nzgnsrgsg5
title: Bangladeshi Women Postpartum Depression Prediction Dataset

description: This dataset includes 766 postpartum women from Bangladesh and explores the prevalence and risk factors of postpartum depression (PPD). Participants, aged 18–41, were recruited from urban, rural, and hospital outpatient settings within 24 months of childbirth. Data were collected between March and June 2025 at LABAID Diagnostics, Pabna, following ethical guidelines and ensuring anonymity. Mental health was assessed using standardized tools—PHQ-2, PHQ-9, and EPDS—with 40.47% of mothers screening positive for depression during pregnancy. 

The dataset includes sociodemographic, economic, family, clinical, obstetric, psychosocial, and neonatal variables. Key features include Age, Residence, Education Level, Marital Status, Occupation before/after latest pregnancy, Monthly Income/Current monthly income, Husband's Education Level, Husband's monthly income, Family type, Number of household members, Relationship with husband/in-laws, Emotional support, Parity, Pregnancy number, Gestation length, Delivery Mode, Pregnancy complications, History of pregnancy loss, Disease before pregnancy, Newborn age/gender, Newborn complications, Breastfeeding status, Sleep and rest patterns, and Emotional changes after childbirth.

The dataset, provided in CSV format, supports research on postpartum depression prediction, risk factor analysis, and explainable AI. It enables modeling of maternal mental health outcomes across social, cultural, and economic factors, and can be used to develop predictive models, clinical decision support tools, and public health interventions.
DOI: 10.17632/nzgnsrgsg5.1
title: Bangladeshi Women Postpartum Depression Prediction Dataset

description: This dataset includes 766 postpartum women from Bangladesh and explores the prevalence and risk factors of postpartum depression (PPD). Participants, aged 18–41, were recruited from urban, rural, and hospital outpatient settings within 24 months of childbirth. Data were collected between March and June 2025 at LABAID Diagnostics, Pabna, following ethical guidelines and ensuring anonymity. Mental health was assessed using standardized tools—PHQ-2, PHQ-9, and EPDS—with 40.47% of mothers screening positive for depression during pregnancy. 

The dataset includes sociodemographic, economic, family, clinical, obstetric, psychosocial, and neonatal variables. Key features include Age, Residence, Education Level, Marital Status, Occupation before/after latest pregnancy, Monthly Income/Current monthly income, Husband's Education Level, Husband's monthly income, Family type, Number of household members, Relationship with husband/in-laws, Emotional support, Parity, Pregnancy number, Gestation length, Delivery Mode, Pregnancy complications, History of pregnancy loss, Disease before pregnancy, Newborn age/gender, Newborn complications, Breastfeeding status, Sleep and rest patterns, and Emotional changes after childbirth.

The dataset, provided in CSV format, supports research on postpartum depression prediction, risk factor analysis, and explainable AI. It enables modeling of maternal mental health outcomes across social, cultural, and economic factors, and can be used to develop predictive models, clinical decision support tools, and public health interventions.
DOI: 10.17632/tbxkx595pv
title: Quarterly financial statements Data for Russian firms

description: The database consists of financial information corresponding to Russian accounting standards for firms over the period from 2014 to 2024. The dataset represents the quarterly financial reporting of all Russian firms, which upload its financial statements in the open source. It includes the maximum number of Russian companies that submitted reports to the Russian tax authorities.
DOI: 10.17632/tbxkx595pv.1
title: Quarterly financial statements Data for Russian firms

description: The database consists of financial information corresponding to Russian accounting standards for firms over the period from 2014 to 2024. The dataset represents the quarterly financial reporting of all Russian firms, which upload its financial statements in the open source. It includes the maximum number of Russian companies that submitted reports to the Russian tax authorities.
DOI: 10.5281/zenodo.17660835
title: List of fish species maintained in the Educational and Scientific Complex 'Aquarium' of Oles Honchar Dnipro National University and classified according to the IUCN Red List categories.

description: A comprehensive list of fish species maintained in the Educational and Scientific Complex ‘Aquarium’ of Oles Honchar Dnipro National University is presented. The species names are provided in Ukrainian, English, and Latin. The fish species are classified according to the IUCN Red List categories.
description: Наведено вичерпний перелік видів риб, які утримуються в навчально-науковому комплексі «Акваріум» Дніпровського національного університету імені Олеся Гончара. Наведено назви видів українською, англійською, латинською мовами. Надано класифікацію видів риб за категоріями Червоного списку МСОП.
DOI: 10.5281/zenodo.17660836
title: List of fish species maintained in the Educational and Scientific Complex 'Aquarium' of Oles Honchar Dnipro National University and classified according to the IUCN Red List categories.

description: A comprehensive list of fish species maintained in the Educational and Scientific Complex ‘Aquarium’ of Oles Honchar Dnipro National University is presented. The species names are provided in Ukrainian, English, and Latin. The fish species are classified according to the IUCN Red List categories.
description: Наведено вичерпний перелік видів риб, які утримуються в навчально-науковому комплексі «Акваріум» Дніпровського національного університету імені Олеся Гончара. Наведено назви видів українською, англійською, латинською мовами. Надано класифікацію видів риб за категоріями Червоного списку МСОП.
DOI: 10.17632/64w28hw334
title: Dataset for the Systematic Review and Network Meta-analysis on Esthetic Masking Efficacy of Minimally Invasive Treatments for Dental Fluorosis

description: This dataset contains all analytic materials, extraction sheets, and supplementary documentation used to conduct the systematic review and network meta-analysis assessing the esthetic masking efficacy of minimally invasive treatments for dental fluorosis. The files include raw and processed data for pairwise and network comparisons, CINeMA outputs for evaluating confidence in the evidence, risk-of-bias assessments (RoB 2), and reproducible supplementary materials describing the full search strategy.

The dataset supports the manuscript by providing transparent access to the quantitative framework used to model treatment effects (ΔE and CIE Lab* changes), including multi-arm trial harmonization, variance propagation, and the statistical triangulation performed between R and MetaInsight.

Contents of the Dataset

The dataset includes the following files:

df(1).xlsx – Full arm-level dataset containing sample size, treatment coding, mean and SD values for ΔE change, and timepoints (post-treatment, 1, 3, and 6 months).

Overall.xlsx – Aggregated summary of all included comparisons, harmonized treatment labels, and consolidated outcome metrics.

rob2.xlsx – Risk-of-bias assessment for each included study using the Cochrane RoB 2 tool.

Supplementary File 1.docx – Complete search strategy for PubMed, Scopus, Embase, Web of Science, and Cochrane Library, including filters and query structures.

df(3)-cinema_random_MD_leaguetable.csv – League table for all treatments under the CINeMA random-effects model.

df(3)-cinema_random_MD_leaguetableLowMediumBias.csv – League table restricted to studies judged as low or moderate risk of bias.

df(3)-cinema_random_MD_perComparisonContribution.csv – CINeMA contribution matrix showing the percentage contribution of each direct comparison.

df(3)-cinema_random_MD_perStudyContribution.csv – CINeMA contribution matrix summarizing the study-level contribution to network estimates.

Purpose of the Dataset

The dataset ensures full methodological transparency and reproducibility of:

Study selection and PICO-based eligibility assessment

Data extraction, transformation, and verification

Variance derivation for repeated-measures outcomes

Network geometry construction

Random-effects network meta-analysis

CINeMA confidence assessment

Risk-of-bias evaluation

Supplementary search documentation

File Formats

The dataset includes Excel (.xlsx), CSV (.csv), and Word (.docx) files to facilitate re-analysis across platforms (R, Python, Stata, MetaInsight, and Excel).

Usage Notes

All files are ready for direct import into R (packages netmeta, meta, and CINeMA), MetaInsight, and other statistical environments. No patient-identifiable data are included.
DOI: 10.17632/64w28hw334.1
title: Dataset for the Systematic Review and Network Meta-analysis on Esthetic Masking Efficacy of Minimally Invasive Treatments for Dental Fluorosis

description: This dataset contains all analytic materials, extraction sheets, and supplementary documentation used to conduct the systematic review and network meta-analysis assessing the esthetic masking efficacy of minimally invasive treatments for dental fluorosis. The files include raw and processed data for pairwise and network comparisons, CINeMA outputs for evaluating confidence in the evidence, risk-of-bias assessments (RoB 2), and reproducible supplementary materials describing the full search strategy.

The dataset supports the manuscript by providing transparent access to the quantitative framework used to model treatment effects (ΔE and CIE Lab* changes), including multi-arm trial harmonization, variance propagation, and the statistical triangulation performed between R and MetaInsight.

Contents of the Dataset

The dataset includes the following files:

df(1).xlsx – Full arm-level dataset containing sample size, treatment coding, mean and SD values for ΔE change, and timepoints (post-treatment, 1, 3, and 6 months).

Overall.xlsx – Aggregated summary of all included comparisons, harmonized treatment labels, and consolidated outcome metrics.

rob2.xlsx – Risk-of-bias assessment for each included study using the Cochrane RoB 2 tool.

Supplementary File 1.docx – Complete search strategy for PubMed, Scopus, Embase, Web of Science, and Cochrane Library, including filters and query structures.

df(3)-cinema_random_MD_leaguetable.csv – League table for all treatments under the CINeMA random-effects model.

df(3)-cinema_random_MD_leaguetableLowMediumBias.csv – League table restricted to studies judged as low or moderate risk of bias.

df(3)-cinema_random_MD_perComparisonContribution.csv – CINeMA contribution matrix showing the percentage contribution of each direct comparison.

df(3)-cinema_random_MD_perStudyContribution.csv – CINeMA contribution matrix summarizing the study-level contribution to network estimates.

Purpose of the Dataset

The dataset ensures full methodological transparency and reproducibility of:

Study selection and PICO-based eligibility assessment

Data extraction, transformation, and verification

Variance derivation for repeated-measures outcomes

Network geometry construction

Random-effects network meta-analysis

CINeMA confidence assessment

Risk-of-bias evaluation

Supplementary search documentation

File Formats

The dataset includes Excel (.xlsx), CSV (.csv), and Word (.docx) files to facilitate re-analysis across platforms (R, Python, Stata, MetaInsight, and Excel).

Usage Notes

All files are ready for direct import into R (packages netmeta, meta, and CINeMA), MetaInsight, and other statistical environments. No patient-identifiable data are included.
DOI: 10.17632/tr3rnz67jc
title: RNA-Seq dataset of Candida tropicalis under antifungal stress

description: This dataset contains the raw and processed transcriptomic data used to characterize the global gene expression response of Candida tropicalis after exposure to iso-espintanol at its minimum inhibitory concentration (MIC = 391.6 µg/mL). The experiment included untreated control cultures and treated cultures incubated for four hours, generating six RNA-seq libraries in total: five high-quality biological replicates for the control condition and one high-quality replicate for the iso-espintanol treatment.

Although the experimental design initially considered three biological replicates per group, the treated yeast cells exhibited rapid loss of viability due to the fungicidal activity of ISO, resulting in severe cellular stress, membrane disruption, and RNA degradation. Consequently, only one treated sample met the RNA integrity and yield requirements (RIN ≥ 5.3; total RNA ≈ 0.5–1.5 µg). Rather than representing a limitation, this biological constraint highlights a key biological outcome of ISO exposure: the dataset captures a rare early-lethality transcriptional state associated with acute monoterpene-induced stress. This provides a valuable resource for investigating rapid antifungal responses, oxidative damage, and programmed cell death pathways in C. tropicalis, and supports future comparative analyses of antifungal mechanisms and resistance evolution.

The dataset was generated to test the hypothesis that iso-espintanol triggers coordinated transcriptional reprogramming involving oxidative stress response, metabolic remodeling, membrane integrity disruption, and downregulation of biosynthetic pathways. Sequencing quality metrics (library size, mapping efficiency, and sample correlations) confirmed consistent mRNA capture and strong reproducibility across control replicates.

Differential expression analysis was performed using EdgeR with TMM normalization and Benjamini–Hochberg FDR correction. The resulting transcriptional signatures include repression of RNA metabolic processes, biosynthetic and chromatin-related pathways, and KEGG enrichment in steroid biosynthesis and MAPK signaling.

Together, these data enable researchers to explore the molecular mechanisms underlying iso-espintanol antifungal activity, evaluate pathway-level responses, and reproduce or extend all bioinformatic analyses described in Contreras-Martínez, O. I., Angulo-Ortíz, A., Santafé-Patiño, G., Aviña-Padilla, K., Velasco-Pareja, M. C., & Yasnot, M. F. (2023). Transcriptional Reprogramming of Candida tropicalis in Response to Isoespintanol Treatment. Journal of Fungi, 9(12), 1199. https://doi.org/10.3390/jof9121199.
DOI: 10.17632/tr3rnz67jc.1
title: RNA-Seq dataset of Candida tropicalis under antifungal stress

description: This dataset contains the raw and processed transcriptomic data used to characterize the global gene expression response of Candida tropicalis after exposure to iso-espintanol at its minimum inhibitory concentration (MIC = 391.6 µg/mL). The experiment included untreated control cultures and treated cultures incubated for four hours, generating six RNA-seq libraries in total: five high-quality biological replicates for the control condition and one high-quality replicate for the iso-espintanol treatment.

Although the experimental design initially considered three biological replicates per group, the treated yeast cells exhibited rapid loss of viability due to the fungicidal activity of ISO, resulting in severe cellular stress, membrane disruption, and RNA degradation. Consequently, only one treated sample met the RNA integrity and yield requirements (RIN ≥ 5.3; total RNA ≈ 0.5–1.5 µg). Rather than representing a limitation, this biological constraint highlights a key biological outcome of ISO exposure: the dataset captures a rare early-lethality transcriptional state associated with acute monoterpene-induced stress. This provides a valuable resource for investigating rapid antifungal responses, oxidative damage, and programmed cell death pathways in C. tropicalis, and supports future comparative analyses of antifungal mechanisms and resistance evolution.

The dataset was generated to test the hypothesis that iso-espintanol triggers coordinated transcriptional reprogramming involving oxidative stress response, metabolic remodeling, membrane integrity disruption, and downregulation of biosynthetic pathways. Sequencing quality metrics (library size, mapping efficiency, and sample correlations) confirmed consistent mRNA capture and strong reproducibility across control replicates.

Differential expression analysis was performed using EdgeR with TMM normalization and Benjamini–Hochberg FDR correction. The resulting transcriptional signatures include repression of RNA metabolic processes, biosynthetic and chromatin-related pathways, and KEGG enrichment in steroid biosynthesis and MAPK signaling.

Together, these data enable researchers to explore the molecular mechanisms underlying iso-espintanol antifungal activity, evaluate pathway-level responses, and reproduce or extend all bioinformatic analyses described in Contreras-Martínez, O. I., Angulo-Ortíz, A., Santafé-Patiño, G., Aviña-Padilla, K., Velasco-Pareja, M. C., & Yasnot, M. F. (2023). Transcriptional Reprogramming of Candida tropicalis in Response to Isoespintanol Treatment. Journal of Fungi, 9(12), 1199. https://doi.org/10.3390/jof9121199.
DOI: 10.17632/kk8b9thts7
title: Effect of the vagus nerve stimulation combined with sound therapy for tinnitus treatment

description: Dataset file of included primary studies about Effect of the vagus nerve stimulation combined with sound therapy for tinnitus treatment
DOI: 10.17632/kk8b9thts7.1
title: Effect of the vagus nerve stimulation combined with sound therapy for tinnitus treatment

description: Dataset file of included primary studies about Effect of the vagus nerve stimulation combined with sound therapy for tinnitus treatment
DOI: 10.15468/dl.2yaw2v
title: Occurrence Download

description: A dataset containing 2517 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 7.23395027342447",
 "DecimalLongitude is less than 7.23700982660887",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 2517 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000373-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/sm3psbt5k2
title: Data of TC7 oxygen and 230Th dates

description: Data of TC7 oxygen and 230Th dates
DOI: 10.15468/dl.a95fr6
title: Occurrence Download

description: A dataset containing 1701 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((6.04241 52.00215,6.03197 52.03376,5.90096 52.02941,5.9024 51.98985,6.04241 52.00215))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Osmia caerulescens, Osmia cornuta, Osmia bicornis, Halictus scabiosae, Lasioglossum sexnotatum, Andrena flavipes, Andrena viridescens, Andrena fuscipes, Andrena hattorfiana, Andrena denticulata, Andrena bicolor, Andrena nitida, Andrena dorsata, Andrena nigroaenea, Anthophora plumipes, Chelostoma rapunculi, Anthidium manicatum, Dasypoda hirtipes, Heriades truncorum, Hylaeus hyalinatus, Bombus terrestris-komplekset, Andrena cineraria, Nomada succincta, Nomada rufipes, Andrena clarkella, Bombus pascuorum, Bombus hypnorum, Bombus campestris, Bombus rupestris, Bombus lapidarius, Bombus hortorum, Bombus pratorum)",
 "Year 2000-2025"
 ]
}

 The dataset includes 1701 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000372-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/sm3psbt5k2.1
title: Data of TC7 oxygen and 230Th dates

description: Data of TC7 oxygen and 230Th dates
DOI: 10.15468/dl.rfqhgu
title: Occurrence Download

description: A dataset containing 1397 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Phylloscopus forresti",
 "Year 2024-2025"
 ]
}

 The dataset includes 1397 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000376-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.