cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.656m72
title: Occurrence Download

description: A dataset containing 1187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lamium amplexicaule",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1187 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016260-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15906659
title: Youth Migration Intentions in Montenegro – Qualitative Dataset of 100 In-Depth Interviews.xlsx
DOI: 10.5281/zenodo.15906660
title: Youth Migration Intentions in Montenegro – Qualitative Dataset of 100 In-Depth Interviews.xlsx
DOI: 10.15468/dl.xs6e3t
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lamium amplexicaule",
 "Country is Belarus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 30 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016261-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wtf8rs
title: Occurrence Download

description: A dataset containing 1745 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Pseudotriton montanus)"
 ]
}

 The dataset includes 1745 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016263-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j6uw8m
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Physaria macrocarpa"
 ]
}

 The dataset includes 39 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016262-250711103210423/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.29568470
title: Three- and four-character data and R code

description: Data files and related resources for flexible strategies for youth
DOI: 10.6084/m9.figshare.29568470.v1
title: Three- and four-character data and R code

description: Data files and related resources for flexible strategies for youth
DOI: 10.15468/dl.cschx7
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leuciscus waleckii waleckii"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016264-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nrtecj
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lamium amplexicaule",
 "Country is Bolivia (Plurinational State of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 25 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016265-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.anem49
title: Occurrence Download

description: A dataset containing 248236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Oncorhynchus mykiss"
 ]
}

 The dataset includes 248236 records from 536 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016227-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zn6nj2
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhammatophyllum erysimoides"
 ]
}

 The dataset includes 26 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016266-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15826855
title: AngioCAD: A Publicly Available X-ray Angiography Dataset for Coronary Artery Stenosis and CAD Detection

description: This dataset, named AngioCAD, consists of anonymized and expert-annotated X-ray coronary angiography video frames from 413 patients. The dataset includes sequential PNG images extracted from DICOM format after removing identifiable metadata. Each case contains clinical and laboratory data, along with artery-level stenosis labels in seven severity categories. The dataset supports multiple CAD-related tasks, including view classification, stenosis detection, and CAD diagnosis.
DOI: 10.5281/zenodo.15826856
title: AngioCAD: A Publicly Available X-ray Angiography Dataset for Coronary Artery Stenosis and CAD Detection

description: This dataset, named AngioCAD, consists of anonymized and expert-annotated X-ray coronary angiography video frames from 413 patients. The dataset includes sequential PNG images extracted from DICOM format after removing identifiable metadata. Each case contains clinical and laboratory data, along with artery-level stenosis labels in seven severity categories. The dataset supports multiple CAD-related tasks, including view classification, stenosis detection, and CAD diagnosis.
DOI: 10.15468/dl.v7cdnv
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Pseudotriton montanus flavissimus)"
 ]
}

 The dataset includes 49 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016267-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25326/789
title: Meso-NH database for C2OMODO

description: The Meso-NH database for C2OMODO includes simulations with a horizontal resolution of 200 m carried out with the Meso-NH community code. This database was initiated as part of the C2OMODO space mission. The simulations carried out concern tropical cases (+/-30° latitude) for the current climate 1990-2020.
DOI: 10.15468/dl.nwkfe4
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lamium amplexicaule",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016268-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vzsfgq
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Liobagrus styani"
 ]
}

 The dataset includes 42 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016270-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8r42u8
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lamium amplexicaule",
 "Country is Bulgaria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 45 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016269-250711103210423/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.29568902
title: The LC-MS/MS proteomics results for BMVax study

description: This dataset contains protein expression quantification results generated from LC-MS/MS proteomics analysis.
DOI: 10.6084/m9.figshare.29568902.v1
title: The LC-MS/MS proteomics results for BMVax study

description: This dataset contains protein expression quantification results generated from LC-MS/MS proteomics analysis.
DOI: 10.15468/dl.cs7jfs
title: Occurrence Download

description: A dataset containing 295 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 "Geometry POLYGON((-128.83439 33.82378,-114.39278 12.16136,-54.72611 13.68153,-53.58599 46.36518,-128.83439 46.36518,-128.83439 33.82378))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Polygonum cuspidatum"
 ]
}

 The dataset includes 295 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016271-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5284/1134742
title: Data from a Blank Area Testing at Land Parcels AC240, Buckinghamshire, 2020-2021 (HS2 Phase One)

description: This collection comprises of report, GIS and spreadsheet data from a Blank Area Testing at Land Parcels AC240, Buckinghamshire (HS2 Phase One). The work was undertaken by INFRA Archaeology between 11-Oct-2020 till 31-Mar-2021. The setting out of the test pits followed the sampling requirement of the Project Plan and were spaced at a distance of 20m intervals on a staggered grid pattern, forming a diamond shaped configuration. The test pit sample makes an equivalent of 0.06% area of coverage of the Site. The data collected from AC240 Blank Area Testing suggests there is no potential for early prehistoric or early medieval settlement to be present. However there does appear to be some potential for Roman domestic or industrial activity in the fieldwalking area, and there is also the potential for Iron Age or medieval evidence to be present.

This data could be used to aid the identification of and subsequent changes in industrial, agricultural, and settlement patterns throughout the area. Given the poor ground conditions experienced during the fieldwalking part of the site it is recommended further investigation by way of trial trenching or watching brief is undertaken to better contextualise and clarify the results of the BAT investigations.
DOI: 10.15468/dl.p4p69n
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rattus rattus",
 "Country is Nauru",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016272-250711103210423/datasets/export for details.
DOI: 10.6084/m9.figshare.29412803.v1
title: The mean corpuscular volume (MCV) is a hematological biomarker associated with COVID-19 mortality risk

description: This study aimed to investigate the role of mean corpuscular volume (MCV) as a predictor of mortality due to COVID-19. This retrospective, single-center, and longitudinal study included 122 patients with COVID-19. Compared to the survivor’s group, the non-survivors had higher MCV (92.13 ± 3.67 fL), neutrophil-to-lymphocyte ratio [NLR] (16.99 [21.31]), platelet-to-lymphocyte ratio [PLR] (350.33 [304.68]), and systemic immune-inflammation index [SII] (3684.92 [4073.25]) levels (<i>p</i> &lt; 0.05 for all). The optimal cutoff values for predicting in-hospital COVID-19 mortality, determined by the Youden index, indicated that patients with MCV &gt; 89 fL, NLR &gt; 8.69, PLR &gt; 418.08, or SII &gt; 2149.36 were at a higher risk of death due to SARS-CoV-2 infection. The area under the curves (AUC) of NLR, SII, MCV, and PLR was sufficient for accurate prediction. COVID-19 patients with MCV &gt; 89 fL and PLR &gt; 418.08 were 3.65 (95% CI 1.03–12.87; <i>p</i> = 0.043) and 5.08 (95% CI 1.06–24.22; <i>p</i> = 0.041) times more likely to die than those without these values, respectively. MCV was positively correlated with age, mean corpuscular hemoglobin (MCH), urea, blood urea nitrogen (BUN), and creatinine. MCV &gt; 89 fL and PLR &gt; 418.08 at the time of hospital admission were associated with an increased COVID-19 mortality risk. MCV &gt; 89 fL is a mortality predictor that must be used in the management of patients with COVID-19.
DOI: 10.6084/m9.figshare.29482968
title: Association between lung ultrasound score and risk of mortality among acute respiratory distress syndrome patients: a meta-analysis

description: To clarify the relationship of lung ultrasound score (LUS) with the risk of mortality in patients with acute respiratory distress syndrome (ARDS). Several electronic databases were searched up to 14 October 2024. Odds ratios (ORs) and 95% confidence intervals (CIs) were combined to assess the relationship between LUS and mortality in ARDS patients. Subgroup analysis stratified by the age and grouping method by LUS were further performed. Sensitivity analysis was performed to assess the stability of pooled results and Begg’s funnel plot and Egger’s test were applied to detect publication bias. Sixteen studies with 1762 patients were included. Overall pooled results demonstrated that elevated LUS was significantly related to increased risk of mortality among ARDS patients (OR = 2.29, 95% CI: 1.45–3.63, P &lt; 0.001). Besides, subgroup analysis stratified by the age (adult: OR = 2.01, <i>p</i> = 0.004; child: OR = 15.29, P &lt; 0.001) and grouping method by LUS (dichotomous: OR = 5.60, <i>p</i> = 0.001; continuous: OR = 1.65, P &lt; 0.001) revealed similar results. Sensitivity analysis indicated that pooled results were stable and Begg’s funnel plot and Egger’s test (<i>p</i> = 0.946) manifested that no significant publication bias was observed. Our meta-analysis indicates that a higher LUS is significantly associated with increased risk of mortality in ARDS patients.
DOI: 10.6084/m9.figshare.29482968.v1
title: Association between lung ultrasound score and risk of mortality among acute respiratory distress syndrome patients: a meta-analysis

description: To clarify the relationship of lung ultrasound score (LUS) with the risk of mortality in patients with acute respiratory distress syndrome (ARDS). Several electronic databases were searched up to 14 October 2024. Odds ratios (ORs) and 95% confidence intervals (CIs) were combined to assess the relationship between LUS and mortality in ARDS patients. Subgroup analysis stratified by the age and grouping method by LUS were further performed. Sensitivity analysis was performed to assess the stability of pooled results and Begg’s funnel plot and Egger’s test were applied to detect publication bias. Sixteen studies with 1762 patients were included. Overall pooled results demonstrated that elevated LUS was significantly related to increased risk of mortality among ARDS patients (OR = 2.29, 95% CI: 1.45–3.63, P &lt; 0.001). Besides, subgroup analysis stratified by the age (adult: OR = 2.01, <i>p</i> = 0.004; child: OR = 15.29, P &lt; 0.001) and grouping method by LUS (dichotomous: OR = 5.60, <i>p</i> = 0.001; continuous: OR = 1.65, P &lt; 0.001) revealed similar results. Sensitivity analysis indicated that pooled results were stable and Begg’s funnel plot and Egger’s test (<i>p</i> = 0.946) manifested that no significant publication bias was observed. Our meta-analysis indicates that a higher LUS is significantly associated with increased risk of mortality in ARDS patients.
DOI: 10.6084/m9.figshare.29412803
title: The mean corpuscular volume (MCV) is a hematological biomarker associated with COVID-19 mortality risk

description: This study aimed to investigate the role of mean corpuscular volume (MCV) as a predictor of mortality due to COVID-19. This retrospective, single-center, and longitudinal study included 122 patients with COVID-19. Compared to the survivor’s group, the non-survivors had higher MCV (92.13 ± 3.67 fL), neutrophil-to-lymphocyte ratio [NLR] (16.99 [21.31]), platelet-to-lymphocyte ratio [PLR] (350.33 [304.68]), and systemic immune-inflammation index [SII] (3684.92 [4073.25]) levels (<i>p</i> &lt; 0.05 for all). The optimal cutoff values for predicting in-hospital COVID-19 mortality, determined by the Youden index, indicated that patients with MCV &gt; 89 fL, NLR &gt; 8.69, PLR &gt; 418.08, or SII &gt; 2149.36 were at a higher risk of death due to SARS-CoV-2 infection. The area under the curves (AUC) of NLR, SII, MCV, and PLR was sufficient for accurate prediction. COVID-19 patients with MCV &gt; 89 fL and PLR &gt; 418.08 were 3.65 (95% CI 1.03–12.87; <i>p</i> = 0.043) and 5.08 (95% CI 1.06–24.22; <i>p</i> = 0.041) times more likely to die than those without these values, respectively. MCV was positively correlated with age, mean corpuscular hemoglobin (MCH), urea, blood urea nitrogen (BUN), and creatinine. MCV &gt; 89 fL and PLR &gt; 418.08 at the time of hospital admission were associated with an increased COVID-19 mortality risk. MCV &gt; 89 fL is a mortality predictor that must be used in the management of patients with COVID-19.
DOI: 10.6084/m9.figshare.29567744
title: <b><i>Caenorhabditis elegans</i></b><b> CRISPR/Cas9-Mediated Gene Editing Efficiency</b>

description: <b></b>This study investigated the effects of endogenous <i>C. elegans</i> U6 promoters on <i>dpy-10</i> gene editing efficiency. <b>Note</b>: article in press.
DOI: 10.6084/m9.figshare.29567744.v2
title: <b><i>Caenorhabditis elegans</i></b><b> CRISPR/Cas9-Mediated Gene Editing Efficiency</b>

description: <b></b>This study investigated the effects of endogenous <i>C. elegans</i> U6 promoters on <i>dpy-10</i> gene editing efficiency. <b>Note</b>: article in press.
DOI: 10.6084/m9.figshare.28900948
title: Predicting worsening risk in MGFA class I, II and III myasthenia gravis patients: development and validation of a predictive nomogram

description: Myasthenia gravis (MG), a neuromuscular junction autoimmune disorder, causes skeletal muscle weakness. MG worsening frequently occurs during the disease course, severely impairing quality of life and elevating myasthenic crisis risk. Existing predictive models remain scarce. This study developed a predictive model for MG worsening to facilitate early risk stratification and personalized care. Retrospective analysis included 437 the Myasthenia Gravis Foundation of America (MGFA) class I – III myasthenia gravis patients from December 2019 to September 2024. Sociodemographic, clinical variables and worsening status were analyzed. Predictors were identified via univariate analysis, the Least Absolute Shrinkage and Selection Operator (LASSO) regression, and multivariate logistic regression. Model performance was assessed using receiver operating characteristic (ROC) analysis, calibration curves, and decision curve analysis. Patients were randomized into training (<i>n</i> = 305) and validation (<i>n</i> = 132) cohorts. Worsening rates were comparable (26.52% vs. 31.15%, <i>p</i> = 0.331). Six predictors emerged: age, MGFA classification, thymectomy history, chills, fatigue, and emotional disturbances (ED). The nomogram demonstrated strong discrimination (AUC: 0.82 training, 0.83 validation) and calibration (Hosmer-Lemeshow <i>p</i> &gt; 0.05). Decision curve analysis confirmed clinical utility at 10–70% probability thresholds. This nomogram integrates accessible clinical variables to stratify MG worsening risk, enabling early intervention. Validation through multicenter prospective studies is warranted to optimize generalizability.
DOI: 10.6084/m9.figshare.28900948.v2
title: Predicting worsening risk in MGFA class I, II and III myasthenia gravis patients: development and validation of a predictive nomogram

description: Myasthenia gravis (MG), a neuromuscular junction autoimmune disorder, causes skeletal muscle weakness. MG worsening frequently occurs during the disease course, severely impairing quality of life and elevating myasthenic crisis risk. Existing predictive models remain scarce. This study developed a predictive model for MG worsening to facilitate early risk stratification and personalized care. Retrospective analysis included 437 the Myasthenia Gravis Foundation of America (MGFA) class I – III myasthenia gravis patients from December 2019 to September 2024. Sociodemographic, clinical variables and worsening status were analyzed. Predictors were identified via univariate analysis, the Least Absolute Shrinkage and Selection Operator (LASSO) regression, and multivariate logistic regression. Model performance was assessed using receiver operating characteristic (ROC) analysis, calibration curves, and decision curve analysis. Patients were randomized into training (<i>n</i> = 305) and validation (<i>n</i> = 132) cohorts. Worsening rates were comparable (26.52% vs. 31.15%, <i>p</i> = 0.331). Six predictors emerged: age, MGFA classification, thymectomy history, chills, fatigue, and emotional disturbances (ED). The nomogram demonstrated strong discrimination (AUC: 0.82 training, 0.83 validation) and calibration (Hosmer-Lemeshow <i>p</i> &gt; 0.05). Decision curve analysis confirmed clinical utility at 10–70% probability thresholds. This nomogram integrates accessible clinical variables to stratify MG worsening risk, enabling early intervention. Validation through multicenter prospective studies is warranted to optimize generalizability.
DOI: 10.6084/m9.figshare.29567744.v1
title: <b>Effect of </b><b><i>Caenorhabditis elegans</i></b><b> U6 Promoters on CRISPR/Cas9-Mediated Gene Editing Efficiency</b>

description: <b></b>The CRISPR/Cas9 gene editing technology has been widely applied in various model organisms. This system primarily relies on the Cas9 endonuclease and single guide RNA (sgRNA) that targets specific genomic loci. The U6 promoter, an RNA polymerase III-dependent promoter, is commonly used to drive sgRNA transcription in CRISPR/Cas9 systems. However, the impact of different U6 promoters on editing efficiency remains unclear. This study investigated the effects of endogenous <i>C. elegans</i> U6 promoters on <i>dpy-10</i> gene editing efficiency. We screened endogenous U6 snRNA genes from the WormBase database and constructed 14 editing plasmids targeting <i>dpy-10</i> by replacing the U6<sub><em>r07e5.16</em></sub> promoter in pSX524 (P<sub><em>eft-3</em></sub><i>:</i><i>:Cas9::tbb-2 terminator::U6</i><sub><em> r07e5.16</em></sub><i>::dpy-10 sgRNA</i>) through molecular cloning. Following standardized microinjection protocols, we quantified gene editing efficiency and high-efficiency gene editing index based on <i>dpy-10</i> mutant phenotypes in F1 progeny.<b> </b>​This study identifies superior U6 promoters for <i>C. elegans</i> gene editing and demonstrates the critical role of promoter optimization in CRISPR systems, providing novel insights for technical refinement.<b>Note</b>: article in press.