cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18324098
title: Dataset of Analysis of Cu-Associated Defects in Silicon through Lifetime Spectroscopy

description: This dataset contains the experimental data presented in the poster ''"Analysis of Cu-Associated Defects in Silicon through Lifetime Spectroscopy", which was showed at EUPVSEC25 (42nd European Photovoltaic Solar Energy Conference and Exhibition). 

The data were collected and processed using Origin, including measurements relevant for detection of Cu-associated defects in silicon.
DOI: 10.5281/zenodo.18324099
title: Dataset of Analysis of Cu-Associated Defects in Silicon through Lifetime Spectroscopy

description: This dataset contains the experimental data presented in the poster ''"Analysis of Cu-Associated Defects in Silicon through Lifetime Spectroscopy", which was showed at EUPVSEC25 (42nd European Photovoltaic Solar Energy Conference and Exhibition). 

The data were collected and processed using Origin, including measurements relevant for detection of Cu-associated defects in silicon.
DOI: 10.17632/8ds7p25kpj
title: The Relationship Between Principal’s Transformational Leadership, Collective Teacher Efficacy, and Preschool Teacher Career Resilience: A Multilevel Structural Equation Modeling Analysis

description: This study aimed to investigate the relationships and underlying mechanisms among principal’s transformational leadership, collective teacher efficacy, and preschool teacher career resilience at the school organizational level. Grounded in social cognitive theory, multilevel structural equation modeling was employed to analyze data collected from 802 preschool teachers across 71 kindergartens in Zhejiang Province, China. The results showed that between-school variance in preschool teacher career resilience accounted for 7.2% to 11.0% of the total variance. At the school level, principal’s transformational leadership directly and positively predicted preschool teacher career resilience (β = 0.538). Furthermore, principal’s transformational leadership was indirectly associated with preschool teacher career resilience through collective teacher efficacy, which partially mediated this relationship (indirect effect = 0.319). These findings suggest that transformational leadership serves as a critical organizational resource for enhancing preschool teacher career resilience, and that this effect is partially achieved by strengthening collective teacher efficacy. Accordingly, optimizing principal leadership practices and fostering collective teacher efficacy may effectively promote preschool teacher career resilience.
DOI: 10.17632/8ds7p25kpj.1
title: The Relationship Between Principal’s Transformational Leadership, Collective Teacher Efficacy, and Preschool Teacher Career Resilience: A Multilevel Structural Equation Modeling Analysis

description: This study aimed to investigate the relationships and underlying mechanisms among principal’s transformational leadership, collective teacher efficacy, and preschool teacher career resilience at the school organizational level. Grounded in social cognitive theory, multilevel structural equation modeling was employed to analyze data collected from 802 preschool teachers across 71 kindergartens in Zhejiang Province, China. The results showed that between-school variance in preschool teacher career resilience accounted for 7.2% to 11.0% of the total variance. At the school level, principal’s transformational leadership directly and positively predicted preschool teacher career resilience (β = 0.538). Furthermore, principal’s transformational leadership was indirectly associated with preschool teacher career resilience through collective teacher efficacy, which partially mediated this relationship (indirect effect = 0.319). These findings suggest that transformational leadership serves as a critical organizational resource for enhancing preschool teacher career resilience, and that this effect is partially achieved by strengthening collective teacher efficacy. Accordingly, optimizing principal leadership practices and fostering collective teacher efficacy may effectively promote preschool teacher career resilience.
DOI: 10.17632/w8gdygx9tc
title: Data for: Effect of surfactant addition on the biofiltration of siloxane-contaminated gas streams

description: This dataset contains experimental data supporting the research article "Effect of surfactant addition on the biofiltration of siloxane-contaminated gas streams" by González-Cortés et al. The study investigates the biological removal of volatile methyl siloxanes (VMS), specifically octamethyltrisiloxane (L3) and octamethylcyclotetrasiloxane (D4), using two independent biofilters packed with woodchips/compost (WC) and perlite (PER).
The data covers an operational period of 150 days, divided into six stages, evaluating the impact of adding a non-ionic synthetic surfactant (Tween 80) and a biological surfactant (Quillaja saponin) on the mass transfer and biodegradation of siloxanes.
DOI: 10.17632/w8gdygx9tc.1
title: Data for: Effect of surfactant addition on the biofiltration of siloxane-contaminated gas streams

description: This dataset contains experimental data supporting the research article "Effect of surfactant addition on the biofiltration of siloxane-contaminated gas streams" by González-Cortés et al. The study investigates the biological removal of volatile methyl siloxanes (VMS), specifically octamethyltrisiloxane (L3) and octamethylcyclotetrasiloxane (D4), using two independent biofilters packed with woodchips/compost (WC) and perlite (PER).
The data covers an operational period of 150 days, divided into six stages, evaluating the impact of adding a non-ionic synthetic surfactant (Tween 80) and a biological surfactant (Quillaja saponin) on the mass transfer and biodegradation of siloxanes.
DOI: 10.15468/dl.v4wz5z
title: Occurrence Download

description: A dataset containing 923802 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is Asia",
 "OccurrenceStatus is Present",
 "TaxonKey is Gastropoda"
 ]
}

 The dataset includes 923802 records from 349 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002092-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sa68az
title: Occurrence Download

description: A dataset containing 1255 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Fraxinus nigra",
 "Year 2000-2026"
 ]
}

 The dataset includes 1255 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002164-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/thwtpzrys7
title: Replication Folder Forecasting Economic Crises: The Great Recession, the sovereign debt crisis, and COVID-19 in the euro area

description: Replication folder for the paper Forecasting Economic Crises: The Great Recession, the Sovereign Debt Crisis, and COVID-19 in the Euro Area, containing the relevant code and data.
DOI: 10.17632/thwtpzrys7.1
title: Replication Folder Forecasting Economic Crises: The Great Recession, the sovereign debt crisis, and COVID-19 in the euro area

description: Replication folder for the paper Forecasting Economic Crises: The Great Recession, the Sovereign Debt Crisis, and COVID-19 in the Euro Area, containing the relevant code and data.
DOI: 10.17632/b3hfnytzm6
title: Multi-Targeted Therapeutic Mechanisms of Huangqi Guizhi Wuwu Decoction against Rheumatoid Arthritis: An Integrated Approach Combining Serum Pharmacochemistry, Network Pharmacology, Metabolomics, and Experimental Validation

description: This dataset includes preprocessed LC-MS metabolomics results from AB SCIEX TOF5600, processed in XCMS for feature detection, retention time correction, and peak intensity integration, exported in Excel format for downstream statistical analysis.Excel file containing metabolite identification results from untargeted metabolomics data, as annotated by MetDNA (Metabolite Identification and Dysregulated Network Analysis).
Raw mass spectrometry data files (.wiff/.wiff.scan) for the identification of in vivo and in vitro components of Huangqi Guizhi Wuwu Decoction acquired using an AB SCIEX TripleTOF 5600+ system in both positive and negative ionization modes with data-dependent acquisition (DDA).
DOI: 10.17632/b3hfnytzm6.1
title: Multi-Targeted Therapeutic Mechanisms of Huangqi Guizhi Wuwu Decoction against Rheumatoid Arthritis: An Integrated Approach Combining Serum Pharmacochemistry, Network Pharmacology, Metabolomics, and Experimental Validation

description: This dataset includes preprocessed LC-MS metabolomics results from AB SCIEX TOF5600, processed in XCMS for feature detection, retention time correction, and peak intensity integration, exported in Excel format for downstream statistical analysis.Excel file containing metabolite identification results from untargeted metabolomics data, as annotated by MetDNA (Metabolite Identification and Dysregulated Network Analysis).
Raw mass spectrometry data files (.wiff/.wiff.scan) for the identification of in vivo and in vitro components of Huangqi Guizhi Wuwu Decoction acquired using an AB SCIEX TripleTOF 5600+ system in both positive and negative ionization modes with data-dependent acquisition (DDA).
DOI: 10.17632/2cfyy5j8t3
title: A record of Martian mantle heterogeneity and polybaric magmatism from the poikilitic shergottite Northwest Africa 13366

description: The data of modal abundances, mineral chemical compositions, and isotopic compositions related to: A record of Martian mantle heterogeneity and polybaric magmatism from the poikilitic shergottite Northwest Africa 13366
DOI: 10.17632/2cfyy5j8t3.1
title: A record of Martian mantle heterogeneity and polybaric magmatism from the poikilitic shergottite Northwest Africa 13366

description: The data of modal abundances, mineral chemical compositions, and isotopic compositions related to: A record of Martian mantle heterogeneity and polybaric magmatism from the poikilitic shergottite Northwest Africa 13366
DOI: 10.5281/zenodo.18316877
title: Marine Biodiversity and Environmental Data: An AI-Ready, Open Dataset from the long term (1995–2023) Basque Country Monitoring Network

description: This dataset provides 28 years of environmental monitoring data (1995–2023) from 51 stations in the estuaries and coastal areas of the Basque Country in the Bay of Biscay. Covering 130 variables across water, sediments, and biota, it includes detailed records of phytoplankton, macroalgae, macroinvertebrates, and fish. Compiled in collaboration with the Basque Water Agency (URA), the dataset supports analysis of environmental responses to human pressures and management interventions, identifying patterns of environmental quality improvement within a context of natural variability. Provided in a FAIR² Data Package, the dataset is structured to ensure Findability, Accessibility, Interoperability, Reusability, and Artificial Intelligence-readiness, facilitated by structured metadata and Application Programming Interface access. This resource is intended for researchers and policymakers examining anthropogenic and natural influences on aquatic ecosystems, contributing to sustainable management, conservation practices, and alignment with European directives, including the Water Framework Directive.
DOI: 10.6084/m9.figshare.29900975
title: Updating the meningitis belt: associations between environmental factors and epidemic meningitis risk across Africa- Supporting data

description: This data supports the analysis and figures generated as part of the publication- Updating the meningitis belt: associations between environmental factors and epidemic meningitis risk across Africa Figure2_rainfall, Figure2_dust, Figure2_temperature, Figure2_windspeed and Figure2_humidity, have values containing the climatic variable averages for k mean clustering technique across months. These files are used in plotting the graphs within Figure 2 ADMN2_outbreak_details.xlsx- File containing the ADMN district locations of meningitis epidemic history in Africa from 2003–2022. This file was used to generate the plot in Figure 4outbreak_counts.xlsx- File containing the number of outbreaks in ADMN districts across Africa from 2003–2022. This file was used to generate the plot in Figure 5Cluster_epidemic_analysis.xlsx- File containing the final k means cluster values for each of the ADMN2 districts used within the final logistic regression model. This file was used to generate Table 3, Table 4 and Table 5, as well as the relevant sensitivity analysis within the Extended dataModel_epidemic_prediction.xlsx- File containing results of the logistic regression model, and has both the predicted risk and category used within our final predictive risk map. This file was used to generate Figure 6 and supports the results of our full model's sensitivity and specificity.<br>
DOI: 10.6084/m9.figshare.29900975.v1
title: Updating the meningitis belt: associations between environmental factors and epidemic meningitis risk across Africa- Supporting data

description: This data supports the analysis and figures generated as part of the publication- Updating the meningitis belt: associations between environmental factors and epidemic meningitis risk across AfricaFiles Figure2_rainfall, Figure2_dust and Figure2_humidity, have values used to generate the graphs as in Figure 2 of the paper.The file ADMN2_outbreak_details supports the plotting of outbreak location as in Figure 3. The file outbreak_counts supports the plotting of the number of total outbreaks as in Figure 4.The file Cluster_epidemic_analysis has the final cluster values for each of the ADMN2 districts used within the final logistic regression model and was used to generate Tables 2, 3 and 4, as well as the relevant sensitivity analysis within the Extended data. Finally, Model_epidemic_prediction contains the results of the logistic regression model, and has both the predicted risk and category used within our final predictive risk map (Figure 6) and supports the results of our full model's sensitivity and specificity.
DOI: 10.6084/m9.figshare.29900975.v2
title: Updating the meningitis belt: associations between environmental factors and epidemic meningitis risk across Africa- Supporting data

description: This data supports the analysis and figures generated as part of the publication- Updating the meningitis belt: associations between environmental factors and epidemic meningitis risk across Africa Figure2_rainfall, Figure2_dust, Figure2_temperature, Figure2_windspeed and Figure2_humidity, have values containing the climatic variable averages for k mean clustering technique across months. These files are used in plotting the graphs within Figure 2 ADMN2_outbreak_details.xlsx- File containing the ADMN district locations of meningitis epidemic history in Africa from 2003–2022. This file was used to generate the plot in Figure 4outbreak_counts.xlsx- File containing the number of outbreaks in ADMN districts across Africa from 2003–2022. This file was used to generate the plot in Figure 5Cluster_epidemic_analysis.xlsx- File containing the final k means cluster values for each of the ADMN2 districts used within the final logistic regression model. This file was used to generate Table 3, Table 4 and Table 5, as well as the relevant sensitivity analysis within the Extended dataModel_epidemic_prediction.xlsx- File containing results of the logistic regression model, and has both the predicted risk and category used within our final predictive risk map. This file was used to generate Figure 6 and supports the results of our full model's sensitivity and specificity.<br>
DOI: 10.15468/dl.hya87a
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Hong Kong",
 "TaxonKey is Euodynerus trilobus"
 ]
}

 The dataset includes 23 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002167-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ktfdgk
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Carex brunnea",
 "Year 1970-2000"
 ]
}

 The dataset includes 55 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002169-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18323721
title: Source data for manuscript entitled "Extended poly(A) tails are a shared feature of herpesvirus mRNAs"

description: The folders located in this repository contain all datasets needed to reproduce the analyses and figures presented in our recent preprint entitled "Extended poly(A) tails are a shared feature of herpesvirus mRNAs" which is available via BioRxiv (https://www.biorxiv.org/content/10.64898/2025.12.15.694445v1). All scripts required for these figures can be found at https://github.com/DepledgeLab/poly-A-tails

 

Contents:



viral.zip and cellular.zip contain the nanopolish output files from genome-level alignments that are used to generate all panels in Figures 1 & 2

fig3_data.zip and fig4_data.zip contain the nanopolish output files from transcriptome-level alignments that are used to generate all panels in Figures 3 & 4

data_for_figs6&7.zip and input_for_figs6&7.zip contain all ninetails derived datafiles needed to reproduce Figures 6&7

note: all data for Figure 5 are contained within the GitHub repository
DOI: 10.5281/zenodo.18323720
title: Source data for manuscript entitled "Extended poly(A) tails are a shared feature of herpesvirus mRNAs"

description: The folders located in this repository contain all datasets needed to reproduce the analyses and figures presented in our recent preprint entitled "Extended poly(A) tails are a shared feature of herpesvirus mRNAs" which is available via BioRxiv (https://www.biorxiv.org/content/10.64898/2025.12.15.694445v1). All scripts required for these figures can be found at https://github.com/DepledgeLab/poly-A-tails

 

Contents:



viral.zip and cellular.zip contain the nanopolish output files from genome-level alignments that are used to generate all panels in Figures 1 & 2

fig3_data.zip and fig4_data.zip contain the nanopolish output files from transcriptome-level alignments that are used to generate all panels in Figures 3 & 4

data_for_figs6&7.zip and input_for_figs6&7.zip contain all ninetails derived datafiles needed to reproduce Figures 6&7

note: all data for Figure 5 are contained within the GitHub repository
DOI: 10.15468/dl.3qkdud
title: Occurrence Download

description: A dataset containing 847 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Romania",
 "TaxonKey is Vulpes vulpes"
 ]
}

 The dataset includes 847 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002170-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bkn8ny
title: Occurrence Download

description: A dataset containing 429544647 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 GBIF_EQDGCODE(6, decimallatitude, decimallongitude, 0.0) eqdcellcode,
 COUNT(*) occurrences
FROM
 occurrence
WHERE
 occurrence.occurrencestatus = 'PRESENT'
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.classificationdetails['d7dddbf4-2cf0-4f39-9b2a-bb099caae36c']['specieskey'] &lt;&gt; '' AND occurrence.hascoordinate = TRUE)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 GBIF_EQDGCODE(6, decimallatitude, decimallongitude, 0.0)

 The dataset's 429544647 records were derived from 66218 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001987-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w68aar
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((100.014 1.500182, 99.943713 1.494614, 99.875158 1.478048, 99.810023 1.45089, 99.749914 1.413811, 99.696309 1.367724, 99.65053 1.313763, 99.613703 1.253259, 99.586735 1.187702, 99.57028800000001 1.118705, 99.564768 1.047968, 99.570308 0.977232, 99.58677299999999 0.90824, 99.613755 0.842689, 99.65059100000001 0.7821939999999999, 99.69637400000001 0.728243, 99.74997500000001 0.6821660000000001, 99.810076 0.645096, 99.875196 0.617945, 99.94373299999999 0.601383, 100.014 0.595816, 100.084267 0.601383, 100.152804 0.617945, 100.217924 0.645096, 100.278025 0.6821660000000001, 100.331626 0.728243, 100.377409 0.7821939999999999, 100.414245 0.842689, 100.441227 0.90824, 100.457692 0.977232, 100.463232 1.047968, 100.457712 1.118705, 100.441265 1.187702, 100.414297 1.253259, 100.37747 1.313763, 100.331691 1.367724, 100.278086 1.413811, 100.217977 1.45089, 100.152842 1.478048, 100.084287 1.494614, 100.014 1.500182))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002171-260120142942310/datasets/export for details.