cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.31176425
title: Additional file 5 of Convergent DNA methylation abnormalities at enhancers and bivalent promoters in human growth disorders

description: Supplemental Table 4.
DOI: 10.6084/m9.figshare.31176425.v1
title: Additional file 5 of Convergent DNA methylation abnormalities at enhancers and bivalent promoters in human growth disorders

description: Supplemental Table 4.
DOI: 10.6084/m9.figshare.31176428
title: Additional file 6 of Convergent DNA methylation abnormalities at enhancers and bivalent promoters in human growth disorders

description: Supplemental Table 5.
DOI: 10.6084/m9.figshare.31176428.v1
title: Additional file 6 of Convergent DNA methylation abnormalities at enhancers and bivalent promoters in human growth disorders

description: Supplemental Table 5.
DOI: 10.6084/m9.figshare.31176431
title: Additional file 7 of Convergent DNA methylation abnormalities at enhancers and bivalent promoters in human growth disorders

description: Supplemental Table 6.
DOI: 10.6084/m9.figshare.31176431.v1
title: Additional file 7 of Convergent DNA methylation abnormalities at enhancers and bivalent promoters in human growth disorders

description: Supplemental Table 6.
DOI: 10.5281/zenodo.17816093
title: Feature-Level Analysis and Robust Baselines for EEG-Based Imagined Speech Recognition on the ASU Dataset

description: Imagined speech decoding from non-invasive electroencephalography remains a challenging problem, especially when moving beyond small vocabularies and optimistic evaluation protocols. This work revisits the Arizona State University (ASU) imagined speech dataset and treats it as a rigorous ten-class benchmark. After unifying all recordings into 5 s epochs at 256 Hz, we preprocess 6,520 trials with 60 EEG channels using bandpass filtering, baseline correction, z-score normalization, and trial-wise ICA for artifact attenuation. On top of this pipeline, we construct a comprehensive feature representation that combines common spatial patterns, discrete wavelet statistics, time-domain moments, autocorrelation coefficients, power spectral density band powers, and Hjorth parameters into a single 5,120-dimensional vector. A block-wise ablation shows that autocorrelation, CSP, PSD, and Hjorth features carry most of the discriminative information, while wavelet and simple statistical descriptors contribute little and can be removed without harming performance. Using only the informative blocks (3,440 features), a multinomial logistic regression classifier reaches about 0.41 accuracy and 0.42 macro F1 on the ten-class task, roughly four times chance level. A multi-layer perceptron and a CNN–LSTM model, trained under the same splits and with class weighting, do not outperform this linear baseline and exhibit stronger overfitting. These findings indicate that carefully engineered features already linearise much of the class structure in the ASU dataset, and that deeper models add complexity without clear benefit in this setting. The study provides a transparent baseline and a feature-level analysis that can serve as a reference point for future work on imagined speech recognition and transfer learning across EEG corpora.
DOI: 10.5281/zenodo.17816092
title: Feature-Level Analysis and Robust Baselines for EEG-Based Imagined Speech Recognition on the ASU Dataset

description: Imagined speech decoding from non-invasive electroencephalography remains a challenging problem, especially when moving beyond small vocabularies and optimistic evaluation protocols. This work revisits the Arizona State University (ASU) imagined speech dataset and treats it as a rigorous ten-class benchmark. After unifying all recordings into 5 s epochs at 256 Hz, we preprocess 6,520 trials with 60 EEG channels using bandpass filtering, baseline correction, z-score normalization, and trial-wise ICA for artifact attenuation. On top of this pipeline, we construct a comprehensive feature representation that combines common spatial patterns, discrete wavelet statistics, time-domain moments, autocorrelation coefficients, power spectral density band powers, and Hjorth parameters into a single 5,120-dimensional vector. A block-wise ablation shows that autocorrelation, CSP, PSD, and Hjorth features carry most of the discriminative information, while wavelet and simple statistical descriptors contribute little and can be removed without harming performance. Using only the informative blocks (3,440 features), a multinomial logistic regression classifier reaches about 0.41 accuracy and 0.42 macro F1 on the ten-class task, roughly four times chance level. A multi-layer perceptron and a CNN–LSTM model, trained under the same splits and with class weighting, do not outperform this linear baseline and exhibit stronger overfitting. These findings indicate that carefully engineered features already linearise much of the class structure in the ASU dataset, and that deeper models add complexity without clear benefit in this setting. The study provides a transparent baseline and a feature-level analysis that can serve as a reference point for future work on imagined speech recognition and transfer learning across EEG corpora.
DOI: 10.6084/m9.figshare.31176465
title: Additional file 2 of Genetic contribution to severe COVID-19 in adults under 60 years without major comorbidities in the German National Pandemic Cohort Network (NAPKON)

description: Supplementary Material 2.
DOI: 10.6084/m9.figshare.31176458
title: Additional file 1 of Transcriptomic insights into the immune dynamics of wild-type mice challenged with SARS-CoV-2 Beta variant

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.31176458.v1
title: Additional file 1 of Transcriptomic insights into the immune dynamics of wild-type mice challenged with SARS-CoV-2 Beta variant

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.31176461.v1
title: Additional file 2 of Transcriptomic insights into the immune dynamics of wild-type mice challenged with SARS-CoV-2 Beta variant

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.31176465.v1
title: Additional file 2 of Genetic contribution to severe COVID-19 in adults under 60 years without major comorbidities in the German National Pandemic Cohort Network (NAPKON)

description: Supplementary Material 2.
DOI: 10.15468/dl.4b3gvp
title: Occurrence Download

description: A dataset containing 2356 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptonycteris nivalis"
 ]
}

 The dataset includes 2356 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004978-260126135527185/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.31176461
title: Additional file 2 of Transcriptomic insights into the immune dynamics of wild-type mice challenged with SARS-CoV-2 Beta variant

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.31176464
title: Additional file 3 of Transcriptomic insights into the immune dynamics of wild-type mice challenged with SARS-CoV-2 Beta variant

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.31176464.v1
title: Additional file 3 of Transcriptomic insights into the immune dynamics of wild-type mice challenged with SARS-CoV-2 Beta variant

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.31176467
title: Additional file 4 of Transcriptomic insights into the immune dynamics of wild-type mice challenged with SARS-CoV-2 Beta variant

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.31176467.v1
title: Additional file 4 of Transcriptomic insights into the immune dynamics of wild-type mice challenged with SARS-CoV-2 Beta variant

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.31176482
title: Additional file 1 of Diabetes alters the supragingival microbiome through plasma-to-saliva migration of glucose and fructose

description: Supplementary Material 1: Supplementary Data 1.
DOI: 10.6084/m9.figshare.31176482.v1
title: Additional file 1 of Diabetes alters the supragingival microbiome through plasma-to-saliva migration of glucose and fructose

description: Supplementary Material 1: Supplementary Data 1.
DOI: 10.6084/m9.figshare.31176488
title: Additional file 3 of Diabetes alters the supragingival microbiome through plasma-to-saliva migration of glucose and fructose

description: Supplementary Material 3: Supplementary Data 2-8.
DOI: 10.6084/m9.figshare.31176488.v1
title: Additional file 3 of Diabetes alters the supragingival microbiome through plasma-to-saliva migration of glucose and fructose

description: Supplementary Material 3: Supplementary Data 2-8.
DOI: 10.6084/m9.figshare.31176491
title: Additional file 4 of Diabetes alters the supragingival microbiome through plasma-to-saliva migration of glucose and fructose

description: Supplementary Material 4: Supplementary Data 9-15.
DOI: 10.6084/m9.figshare.31176491.v1
title: Additional file 4 of Diabetes alters the supragingival microbiome through plasma-to-saliva migration of glucose and fructose

description: Supplementary Material 4: Supplementary Data 9-15.
DOI: 10.6084/m9.figshare.31176494
title: Additional file 5 of Diabetes alters the supragingival microbiome through plasma-to-saliva migration of glucose and fructose

description: Supplementary Material 5: Supplementary Data 16-22.
DOI: 10.6084/m9.figshare.31176494.v1
title: Additional file 5 of Diabetes alters the supragingival microbiome through plasma-to-saliva migration of glucose and fructose

description: Supplementary Material 5: Supplementary Data 16-22.
DOI: 10.6084/m9.figshare.31176497
title: Additional file 6 of Diabetes alters the supragingival microbiome through plasma-to-saliva migration of glucose and fructose

description: Supplementary Material 6: Supplementary Data 23-25.
DOI: 10.6084/m9.figshare.31176497.v1
title: Additional file 6 of Diabetes alters the supragingival microbiome through plasma-to-saliva migration of glucose and fructose

description: Supplementary Material 6: Supplementary Data 23-25.
DOI: 10.6084/m9.figshare.31176503
title: Additional file 1 of The reporting outcomes in medical education (ROME) model: proposition of a new framework

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.31176503.v1
title: Additional file 1 of The reporting outcomes in medical education (ROME) model: proposition of a new framework

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.31176515
title: Additional file 2 of Transcriptional insights into aflatoxin B1 induced hepatotoxicity and comparative effects of medicinal herbs in pigs

description: Additional file 2. Primer sequences. The file contains the primer sequences used for each target genes for both the experiments with forward and reverse sequences, primer size, melting temperature and amplicon size.
DOI: 10.6084/m9.figshare.31176515.v1
title: Additional file 2 of Transcriptional insights into aflatoxin B1 induced hepatotoxicity and comparative effects of medicinal herbs in pigs

description: Additional file 2. Primer sequences. The file contains the primer sequences used for each target genes for both the experiments with forward and reverse sequences, primer size, melting temperature and amplicon size.
DOI: 10.6084/m9.figshare.31176518
title: Additional file 3 of Transcriptional insights into aflatoxin B1 induced hepatotoxicity and comparative effects of medicinal herbs in pigs

description: Additional file 3. Raw Ct data. The file contains raw Ct values for all samples in the study used for gene expression analysis.
DOI: 10.6084/m9.figshare.31176518.v1
title: Additional file 3 of Transcriptional insights into aflatoxin B1 induced hepatotoxicity and comparative effects of medicinal herbs in pigs

description: Additional file 3. Raw Ct data. The file contains raw Ct values for all samples in the study used for gene expression analysis.
DOI: 10.6084/m9.figshare.31176519
title: Additional file 2 of GWAS-based identification of multi-trait genetic loci conferring salinity tolerance in barley under hydro- and nanoparticle-priming conditions

description: Supplementary material 2.
DOI: 10.6084/m9.figshare.31176522
title: Additional file 3 of GWAS-based identification of multi-trait genetic loci conferring salinity tolerance in barley under hydro- and nanoparticle-priming conditions

description: Supplementary material 3.
DOI: 10.15468/dl.sdwyud
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dicyemennea californica",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 44 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004979-260126135527185/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.31176519.v1
title: Additional file 2 of GWAS-based identification of multi-trait genetic loci conferring salinity tolerance in barley under hydro- and nanoparticle-priming conditions

description: Supplementary material 2.
DOI: 10.6084/m9.figshare.31176522.v1
title: Additional file 3 of GWAS-based identification of multi-trait genetic loci conferring salinity tolerance in barley under hydro- and nanoparticle-priming conditions

description: Supplementary material 3.
DOI: 10.6084/m9.figshare.31176525
title: Additional file 4 of GWAS-based identification of multi-trait genetic loci conferring salinity tolerance in barley under hydro- and nanoparticle-priming conditions

description: Supplementary material 4.
DOI: 10.6084/m9.figshare.31176525.v1
title: Additional file 4 of GWAS-based identification of multi-trait genetic loci conferring salinity tolerance in barley under hydro- and nanoparticle-priming conditions

description: Supplementary material 4.
DOI: 10.6084/m9.figshare.31176534
title: Additional file 1 of Transcription factor with ambivalent role – Ralstonia eutropha’s PhaR is a repressor of the phasin-gene phaP1 and an activator of phaP3

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.31176534.v1
title: Additional file 1 of Transcription factor with ambivalent role – Ralstonia eutropha’s PhaR is a repressor of the phasin-gene phaP1 and an activator of phaP3

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.31176536
title: Additional file 2 of FOXM1 regulates platelet-induced anoikis resistance in pancreatic cancer cells

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.31176536.v1
title: Additional file 2 of FOXM1 regulates platelet-induced anoikis resistance in pancreatic cancer cells

description: Supplementary Material 2
DOI: 10.15468/dl.8n8qyv
title: Occurrence Download

description: A dataset containing 478224 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chaetodontidae",
 "Year 1993-2026"
 ]
}

 The dataset includes 478224 records from 406 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004933-260126135527185/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.31176585
title: Additional file 1 of Investigating the therapeutic mechanism of Bufei Decoction in COPD: Schisandrin B targets the TLR4/NF-κB/JAK-STAT signaling pathway

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.31176585.v1
title: Additional file 1 of Investigating the therapeutic mechanism of Bufei Decoction in COPD: Schisandrin B targets the TLR4/NF-κB/JAK-STAT signaling pathway

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.31176587
title: Additional file 1 of Immunological and molecular insights into acinar-ductal metaplasia and atypical flat lesions as precursor lesions of pancreatic ductal adenocarcinoma

description: Supplementary Material 1: Supplementary Table 1: Next generation sequencing panel, which includes 20 genes and 191 hotspots of the genes that are relevant for PDAC based on bioinformatics databases
DOI: 10.6084/m9.figshare.31176587.v1
title: Additional file 1 of Immunological and molecular insights into acinar-ductal metaplasia and atypical flat lesions as precursor lesions of pancreatic ductal adenocarcinoma

description: Supplementary Material 1: Supplementary Table 1: Next generation sequencing panel, which includes 20 genes and 191 hotspots of the genes that are relevant for PDAC based on bioinformatics databases
DOI: 10.6084/m9.figshare.31176596
title: Additional file 4 of Immunological and molecular insights into acinar-ductal metaplasia and atypical flat lesions as precursor lesions of pancreatic ductal adenocarcinoma

description: Supplementary Material 4: Supplementary Table 5: Details of the copy number variation analysis in AFL and PanIN (47). AFL: Atypical flat lesion, PanIN: Pancreatic intraepithelial neoplasia, CNA: Copy number alteration. The PanIN section was reproduced based on the original publication data under the Creative Commons Attribution 4.0 (CC BY 4.0) license. The original data was used for table creation. © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY 4.0. License link: https://creativecommons.org/licenses/by/4.0/
DOI: 10.6084/m9.figshare.31176596.v1
title: Additional file 4 of Immunological and molecular insights into acinar-ductal metaplasia and atypical flat lesions as precursor lesions of pancreatic ductal adenocarcinoma

description: Supplementary Material 4: Supplementary Table 5: Details of the copy number variation analysis in AFL and PanIN (47). AFL: Atypical flat lesion, PanIN: Pancreatic intraepithelial neoplasia, CNA: Copy number alteration. The PanIN section was reproduced based on the original publication data under the Creative Commons Attribution 4.0 (CC BY 4.0) license. The original data was used for table creation. © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY 4.0. License link: https://creativecommons.org/licenses/by/4.0/
DOI: 10.6084/m9.figshare.31176600
title: Additional file 4 of Effectiveness and safety of techniques for cervical spine immobilization in mountain rescue

description: Supplementary Material 4. Original Data of the measurements.
DOI: 10.6084/m9.figshare.31176600.v1
title: Additional file 4 of Effectiveness and safety of techniques for cervical spine immobilization in mountain rescue

description: Supplementary Material 4. Original Data of the measurements.
DOI: 10.15468/dl.tnhqbu
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dicyemennea canadensis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004981-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dr6e97
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dicyemennea curta",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004983-260126135527185/datasets/export for details.
DOI: 10.15468/dl.p24bkc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dicyemennea dogieli",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004984-260126135527185/datasets/export for details.
DOI: 10.17605/osf.io/k52vb
title: Posttraumatic growth and factors in adolescent and young adult cancer survivors: a scoping review

description: A significant body of literature acknowledges cancer as a profoundly traumatic event can also trigger positive psychological transformation, termed post-traumatic growth (PTG). This phenomenon is especially pertinent for adolescents and young adults (AYAs), as PTG represents a dynamic process that aligns with their developmental stages. However, the scarcity of information regarding the status and influencing factors of PTG among AYA cancers, hampers to devise suitable interventions. This review aims to summarize research progress on PTG and associated factors among AYA cancer patients and survivors.
DOI: 10.15468/dl.ujsu8m
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dicyemennea dorycephalum",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004985-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d4n96y
title: Occurrence Download

description: A dataset containing 167083 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is South Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is Fabaceae"
 ]
}

 The dataset includes 167083 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004975-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sf93ex
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dicyemennea eltanini",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004986-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18398184
title: Supplementary material

description: This record contains supplementary data and model checkpoints for anonymous review.
DOI: 10.5281/zenodo.17149437
title: Supplementary material

description: This record contains supplementary data and model checkpoints for anonymous review.
DOI: 10.6084/m9.figshare.31175839.v1
title: Deep learning-based in silico labeling for analyzing morphological features of MSCs to predict immunomodulatory capacity

description: In this study, we presented a combined DL and ML strategy comprising a cell segmentation model and a biological characteristic prediction model.
DOI: 10.5281/zenodo.18396353
title: RNA Motif dataset for training

description: RNA Motif dataset with resolution higher than 2.8 Å that can be used for ML, Deeplearning models. Classified into 5 folds and one testing dataset.
DOI: 10.5281/zenodo.18396352
title: RNA Motif dataset for training

description: RNA Motif dataset with resolution higher than 2.8 Å that can be used for ML, Deeplearning models. Classified into 5 folds and one testing dataset.