cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17509766
title: Práticas de Ciência Aberta em Projetos de Software Livre: Uma Pesquisa Documental

description: As planilhas contém as matrizes de rastreabilidade relacionadas aos apêndices C e D do trabalho, responsáveis por representar visualmente as associações entre as facetas da Taxonomia da Ciência Aberta e as práticas identificadas em projetos de livre da amostra do trabalho.
DOI: 10.34740/kaggle/dsv/13592862
title: MLB Postseason 2025 Pitch-by-Pitch Data
DOI: 10.6084/m9.figshare.30513776
title: <b>Knowledge, Attitudes, and Practices of Artificial Intelligence in Dentistry: A cross-sectional survey</b>

description: This study evaluated Artificial Intelligence (AI)-related knowledge, attitudes, and practices among dental students through an online survey. Most participants were familiar with AI, but postgraduates showed notably higher awareness and better practices than undergraduates. While many students saw AI as useful in diagnosis and radiology, some feared it might replace dentists. Interest in learning AI was strong across groups. Education level and gender influenced responses significantly. Despite limited knowledge, students showed positive attitudes and eagerness to learn, highlighting the need to integrate AI into dental education.
DOI: 10.6084/m9.figshare.30513776.v1
title: <b>Knowledge, Attitudes, and Practices of Artificial Intelligence in Dentistry: A cross-sectional survey</b>

description: This study evaluated Artificial Intelligence (AI)-related knowledge, attitudes, and practices among dental students through an online survey. Most participants were familiar with AI, but postgraduates showed notably higher awareness and better practices than undergraduates. While many students saw AI as useful in diagnosis and radiology, some feared it might replace dentists. Interest in learning AI was strong across groups. Education level and gender influenced responses significantly. Despite limited knowledge, students showed positive attitudes and eagerness to learn, highlighting the need to integrate AI into dental education.
DOI: 10.6084/m9.figshare.30513797
title: Psychometric properties of the operationalized ICF Core Sets for autism and ADHD: item metrics, reliability, and validity

description: The WHO’s International Classification of Functioning, Disability and Health (ICF) provides a biopsychosocial perspective on health-related functioning, highly relevant for conditions like autism and ADHD. Despite the ICF’s many benefits, including providing a holistic assessment of individual challenges and resources, its widespread use has been prevented by its complexity, lack of operationalization, and limited specificity for certain diagnoses. To improve usability and implementation of the ICF, diagnosis-specific ICF Core Sets have been developed, revised, operationalized, and integrated on a digital platform. This psychometric study evaluates the self-and proxy-report versions of the Core Set operationalization. This is a cross-sectional study drawing on data collected from individuals diagnosed with autism (<i>n</i> = 54), ADHD (<i>n</i> = 41), autism and ADHD (<i>n</i> = 42), and general population samples (<i>n</i> = 174), as well as 71 paired assessments. Depending on ICF domain, inter-rater reliability and internal consistency was moderate to high. The Core Sets’ ability to distinguish between neurodivergent and general population groups, and the functioning profiles within groups, indicate diagnostic and construct validity. Findings add psychometric evidence to previous results on feasibility and further endorse the adequacy of the Core Sets operationalization for use in basic and applied autism and ADHD science. Autism and attention deficit-hyperactivity disorder (ADHD) are neurodevelopmental conditions that affect various aspects of functioning; standardized, comprehensive assessments are essential for identifying support needs and guiding clinical practice and research.The ICF CoreSets platform enables structured, person-centered assessment of functioning in autistic individuals and those with ADHD, supporting tailored intervention planning.Psychometric evaluation supports the reliability and validity of the ICF CoreSets platform, reinforcing its clinical utility in clinical contexts.The ICF CoreSets platform can facilitate interdisciplinary collaboration and progress monitoring by providing a standardized framework aligned with WHO’s biopsychosocial model. Autism and attention deficit-hyperactivity disorder (ADHD) are neurodevelopmental conditions that affect various aspects of functioning; standardized, comprehensive assessments are essential for identifying support needs and guiding clinical practice and research. The ICF CoreSets platform enables structured, person-centered assessment of functioning in autistic individuals and those with ADHD, supporting tailored intervention planning. Psychometric evaluation supports the reliability and validity of the ICF CoreSets platform, reinforcing its clinical utility in clinical contexts. The ICF CoreSets platform can facilitate interdisciplinary collaboration and progress monitoring by providing a standardized framework aligned with WHO’s biopsychosocial model.
DOI: 10.6084/m9.figshare.30513797.v1
title: Psychometric properties of the operationalized ICF Core Sets for autism and ADHD: item metrics, reliability, and validity

description: The WHO’s International Classification of Functioning, Disability and Health (ICF) provides a biopsychosocial perspective on health-related functioning, highly relevant for conditions like autism and ADHD. Despite the ICF’s many benefits, including providing a holistic assessment of individual challenges and resources, its widespread use has been prevented by its complexity, lack of operationalization, and limited specificity for certain diagnoses. To improve usability and implementation of the ICF, diagnosis-specific ICF Core Sets have been developed, revised, operationalized, and integrated on a digital platform. This psychometric study evaluates the self-and proxy-report versions of the Core Set operationalization. This is a cross-sectional study drawing on data collected from individuals diagnosed with autism (<i>n</i> = 54), ADHD (<i>n</i> = 41), autism and ADHD (<i>n</i> = 42), and general population samples (<i>n</i> = 174), as well as 71 paired assessments. Depending on ICF domain, inter-rater reliability and internal consistency was moderate to high. The Core Sets’ ability to distinguish between neurodivergent and general population groups, and the functioning profiles within groups, indicate diagnostic and construct validity. Findings add psychometric evidence to previous results on feasibility and further endorse the adequacy of the Core Sets operationalization for use in basic and applied autism and ADHD science. Autism and attention deficit-hyperactivity disorder (ADHD) are neurodevelopmental conditions that affect various aspects of functioning; standardized, comprehensive assessments are essential for identifying support needs and guiding clinical practice and research.The ICF CoreSets platform enables structured, person-centered assessment of functioning in autistic individuals and those with ADHD, supporting tailored intervention planning.Psychometric evaluation supports the reliability and validity of the ICF CoreSets platform, reinforcing its clinical utility in clinical contexts.The ICF CoreSets platform can facilitate interdisciplinary collaboration and progress monitoring by providing a standardized framework aligned with WHO’s biopsychosocial model. Autism and attention deficit-hyperactivity disorder (ADHD) are neurodevelopmental conditions that affect various aspects of functioning; standardized, comprehensive assessments are essential for identifying support needs and guiding clinical practice and research. The ICF CoreSets platform enables structured, person-centered assessment of functioning in autistic individuals and those with ADHD, supporting tailored intervention planning. Psychometric evaluation supports the reliability and validity of the ICF CoreSets platform, reinforcing its clinical utility in clinical contexts. The ICF CoreSets platform can facilitate interdisciplinary collaboration and progress monitoring by providing a standardized framework aligned with WHO’s biopsychosocial model.
DOI: 10.6084/m9.figshare.29828737
title: Prognostic significance of APOBEC1 and its role in lung squamous cell carcinoma: insights from chromatin regulator-based modeling and experimental validation

description: Chromatin regulators (CRs) are critical in cancer development, yet their prognostic value in lung squamous cell carcinoma (LUSC) remains unclear. This study aimed to develop a CR-based prognostic model and explore the role of APOBEC1 in LUSC progression. Transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) were analyzed. Gene Ontology and KEGG pathway enrichment were performed. Prognostic CRs were identified using univariate Cox and Lasso analyses. Drug sensitivity was assessed via the Drug Signatures Database. Key CRs were validated by PCR. APOBEC1 expression and prognosis were evaluated through pan-cancer analysis and experimentally validated in LUSC cell lines using colony formation, CCK-8, wound healing, and transwell assays. An eight-gene CR-based signature was established, achieving 5-year AUCs of 0.87, 0.92, and 0.73 in the TCGA training, validation, and GEO datasets, respectively. High-risk patients showed enrichment in cancer-related pathways, greater immune infiltration, and elevated immune checkpoint expression. They were also more sensitive to Dasatinib, Bexarotene, and Bicalutamide. APOBEC1 was overexpressed across multiple cancer types and promoted proliferation and migration in LUSC cell lines. This study presents a robust CR-based survival model and highlights APOBEC1 as a potential therapeutic target in LUSC.
DOI: 10.6084/m9.figshare.29828737.v1
title: Prognostic significance of APOBEC1 and its role in lung squamous cell carcinoma: insights from chromatin regulator-based modeling and experimental validation

description: Chromatin regulators (CRs) are critical in cancer development, yet their prognostic value in lung squamous cell carcinoma (LUSC) remains unclear. This study aimed to develop a CR-based prognostic model and explore the role of APOBEC1 in LUSC progression. Transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) were analyzed. Gene Ontology and KEGG pathway enrichment were performed. Prognostic CRs were identified using univariate Cox and Lasso analyses. Drug sensitivity was assessed via the Drug Signatures Database. Key CRs were validated by PCR. APOBEC1 expression and prognosis were evaluated through pan-cancer analysis and experimentally validated in LUSC cell lines using colony formation, CCK-8, wound healing, and transwell assays. An eight-gene CR-based signature was established, achieving 5-year AUCs of 0.87, 0.92, and 0.73 in the TCGA training, validation, and GEO datasets, respectively. High-risk patients showed enrichment in cancer-related pathways, greater immune infiltration, and elevated immune checkpoint expression. They were also more sensitive to Dasatinib, Bexarotene, and Bicalutamide. APOBEC1 was overexpressed across multiple cancer types and promoted proliferation and migration in LUSC cell lines. This study presents a robust CR-based survival model and highlights APOBEC1 as a potential therapeutic target in LUSC.
DOI: 10.15468/dl.yymhkq
title: Occurrence Download

description: A dataset containing 28895 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Glossiphonia complanata"
 ]
}

 The dataset includes 28895 records from 211 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012183-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x64dyx
title: Occurrence Download

description: A dataset containing 144217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "Year is 2024",
 "InstitutionCode is iNaturalist"
 ]
}

 The dataset includes 144217 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012175-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17509745
title: Data and Code supporting Thoral et al., 2025 - Marine Darkwave as an event-based framework to assess unusual periods of reduced underwater light availability

description: Data_Code_Shared.qmd is the Quarto Markdown generating the Data_Code_Shared.html file that shows the code to generate the figures 3-8 in the paper.

Case_Study_1_Hourly_Irrandiance_All_Year_20240520.csv is the daily time series of underwater irradiance for case study 1 - SBS LTER.

Case_Study_2_FOT_Mooring_All_dailyInt.csv is the daily time series of underwater irradiance for case study 2 - NZ FoT 7m and 20m.

Case_Study_3_MDW_Clim_Event_EBED_072002_082023_nDurMin5_v05_TerraApprox.Rds is the gridded time series of seabed irradiance for case study 3 - New Zealand East Cape.

MDW_2d_vs_5d_3CaseStudies_full_Metrics.csv is the data behind Table S1.

MDW_AllPix_trends_metrics_yearly_EBED_072002_082023_nDurMin5_v05_TerraApprox.csv is the data showing the trend analysis for each pixel in case study 3, as showed in Figure S8.

MDW_trends_metrics_yearly_EBED_072002_082023_nDurMin5_v05_TerraApprox.csv is the data showing the trend analysis in yearly avergaed MDW metrics in case study 3, as showed in Table S2.

nz-coastlines-and-islands-polygons-topo-150k.shp and related files are the GIS file of New Zealand coastline, as displayed in Figures 6 and 8.

SensitivityAnalysis_FOT_depth7m.csv is the data behind Figure 3 for case study 2 - NZ FoT 7m.

SensitivityAnalysis_FOT_depth20m.csv is the data behind Figure 3 for case study 2 - NZ FoT 20m.

SensitivityAnalysis_LTER_CARP7.csv is the data behind Figure 3 for case study 1 - SBS LTER.

Table_1_Metrics_SensitivityAnalysis_Small_Table_clean.csv is the data behind Table 1.
DOI: 10.5281/zenodo.17509746
title: Data and Code supporting Thoral et al., 2025 - Marine Darkwave as an event-based framework to assess unusual periods of reduced underwater light availability

description: Data_Code_Shared.qmd is the Quarto Markdown generating the Data_Code_Shared.html file that shows the code to generate the figures 3-8 in the paper.

Case_Study_1_Hourly_Irrandiance_All_Year_20240520.csv is the daily time series of underwater irradiance for case study 1 - SBS LTER.

Case_Study_2_FOT_Mooring_All_dailyInt.csv is the daily time series of underwater irradiance for case study 2 - NZ FoT 7m and 20m.

Case_Study_3_MDW_Clim_Event_EBED_072002_082023_nDurMin5_v05_TerraApprox.Rds is the gridded time series of seabed irradiance for case study 3 - New Zealand East Cape.

MDW_2d_vs_5d_3CaseStudies_full_Metrics.csv is the data behind Table S1.

MDW_AllPix_trends_metrics_yearly_EBED_072002_082023_nDurMin5_v05_TerraApprox.csv is the data showing the trend analysis for each pixel in case study 3, as showed in Figure S8.

MDW_trends_metrics_yearly_EBED_072002_082023_nDurMin5_v05_TerraApprox.csv is the data showing the trend analysis in yearly avergaed MDW metrics in case study 3, as showed in Table S2.

nz-coastlines-and-islands-polygons-topo-150k.shp and related files are the GIS file of New Zealand coastline, as displayed in Figures 6 and 8.

SensitivityAnalysis_FOT_depth7m.csv is the data behind Figure 3 for case study 2 - NZ FoT 7m.

SensitivityAnalysis_FOT_depth20m.csv is the data behind Figure 3 for case study 2 - NZ FoT 20m.

SensitivityAnalysis_LTER_CARP7.csv is the data behind Figure 3 for case study 1 - SBS LTER.

Table_1_Metrics_SensitivityAnalysis_Small_Table_clean.csv is the data behind Table 1.
DOI: 10.15468/dl.vf8xu9
title: Occurrence Download

description: A dataset containing 1256 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Year is 2010",
 "InstitutionCode is iNaturalist"
 ]
}

 The dataset includes 1256 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012187-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bq6dvz
title: Occurrence Download

description: A dataset containing 302 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is North America",
 "Geometry POLYGON((-102.34769 25.30301,-61.89384 25.30301,-61.89384 53.48806,-102.34769 53.48806,-102.34769 25.30301))",
 "HasCoordinate is true",
 "TaxonKey is Astata"
 ]
}

 The dataset includes 302 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012188-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h2stgr
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hydropotes inermis"
 ]
}

 The dataset includes 37 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012189-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.enwdne
title: Occurrence Download

description: A dataset containing 1870 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Year is 2011",
 "InstitutionCode is iNaturalist"
 ]
}

 The dataset includes 1870 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012190-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.87tw8w
title: Occurrence Download

description: A dataset containing 97044 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Physeter macrocephalus"
 ]
}

 The dataset includes 97044 records from 435 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012155-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jh8g4x
title: Occurrence Download

description: A dataset containing 154991 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Crocodylidae"
 ]
}

 The dataset includes 154991 records from 316 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012152-251025141854904/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.30243193.v1
title: Data Social Skill

description: Data from post-test of social skills.
DOI: 10.60712/si-id408672.1
title: StrainInfo SI-ID 408672.1

description: StrainInfo dataset 408672 about a strain of Muricauda lutimaris. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id408673.1
title: StrainInfo SI-ID 408673.1

description: StrainInfo dataset 408673 about a strain of Unidentified. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id408486.1
title: StrainInfo SI-ID 408486.1

description: StrainInfo dataset 408486 about a strain of Enterococcus raffinosus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id408487.1
title: StrainInfo SI-ID 408487.1

description: StrainInfo dataset 408487 about a strain of Moraxella atlantae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id408488.1
title: StrainInfo SI-ID 408488.1

description: StrainInfo dataset 408488 about a strain of Streptococcus parasanguinis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id408489.1
title: StrainInfo SI-ID 408489.1

description: StrainInfo dataset 408489 about a strain of Elizabethkingia miricola. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id408575.1
title: StrainInfo SI-ID 408575.1

description: StrainInfo dataset 408575 about a strain of Stenotrophomonas. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id408576.1
title: StrainInfo SI-ID 408576.1

description: StrainInfo dataset 408576 about a strain of Streptococcus anginosus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id408577.1
title: StrainInfo SI-ID 408577.1

description: StrainInfo dataset 408577 about a strain of Actinomyces viscosus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id408578.1
title: StrainInfo SI-ID 408578.1

description: StrainInfo dataset 408578 about a strain of Campylobacter ureolyticus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id408674.1
title: StrainInfo SI-ID 408674.1

description: StrainInfo dataset 408674 about a strain of Klebsiella grimontii. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id408675.1
title: StrainInfo SI-ID 408675.1

description: StrainInfo dataset 408675 about a strain of Ligilactobacillus salivarius. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id408676.1
title: StrainInfo SI-ID 408676.1

description: StrainInfo dataset 408676 about a strain of Oceanobacillus chungangensis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.