cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7274/28756661.v1
title: Advancements in Uncertainty Quantification for Coastal Hazard Assessment

description: The vulnerability of coastal communities has been gradually increasing in the past decade owing to migration trends and the intensification due to climate change of the natural-hazard threats they face. This has led to the demand for comprehensive hazard assessment tools that can support decision-making regarding pre-disaster planning, emergency management, and post-disaster recovery. This demand has motivated researchers to develop high-fidelity, numerical simulation models to accurately predict hazard exposure and fragility for coastal infrastructures. However, the numerical complexity of these models entails a substantial computational burden, making their utilization in supporting comprehensive hazard/risk assessment challenging. To address this challenge, researchers have focused on computational statistics and machine learning tools that aim to reduce the number of high-fidelity simulations needed within such assessments. This work establishes numerous advancements on this topic, focusing specifically on storm surge hazard assessment. A novel global sensitivity analysis framework is developed to gain a better understanding of the relationship between storm features and surge responses, accommodating a potential reduction of the uncertainties that need to be considered in hazard estimation. For real-time surge hazard estimation (during landfalling events), two distinct methodologies are introduced for improving computational efficiency by sharing numerical simulation results across the hazard assessments performed for different storm advisories: (i) adaptive importance sampling and (ii) adaptive multi-fidelity Monte Carlo. For long-term regional hazard assessment, the benefits of leveraging surrogate models for the surge response approximation are examined in detail, revealing for the first time the true computational benefits that these surrogate models can offer. Also, the selection of representative storm scenarios that can achieve a significant reduction in computational burden for the hazard assessment without compromising the accuracy of the hazard map estimation across large coastal regions is examined. Finally, to improve the accuracy of surrogate models developed for the storm surge approximation, novel data imputation and dimensionality reduction techniques are introduced, extracting the spatio-temporal correlation of surge responses and leveraging the information to establish higher accuracy with respect to the surrogate model calibration and deployment.
DOI: 10.5281/zenodo.17591308
title: Phlorest phylogeny derived from Sicoli & Holton 2014 'Linguistic phylogenies support back-migration from Beringia to Asia'

description: Cite the source of the dataset as:




Sicoli MA & Holton G (2014) Linguistic phylogenies support back-migration from Beringia to Asia. PLoS One 9(3):e91722.
DOI: 10.5281/zenodo.8250302
title: Phlorest phylogeny derived from Sicoli & Holton 2014 'Linguistic phylogenies support back-migration from Beringia to Asia'

description: Cite the source of the dataset as:




Sicoli MA & Holton G (2014) Linguistic phylogenies support back-migration from Beringia to Asia. PLoS One 9(3):e91722.
DOI: 10.15468/dl.gsuxyr
title: Occurrence Download

description: A dataset containing 1001 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "TaxonKey is Escallonia pulverulenta (Ruiz & Pav.) Pers."
 ]
}

 The dataset includes 1001 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002074-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kkqn26
title: Occurrence Download

description: A dataset containing 686 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vaccinium vitis-idaea L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Japan"
 ]
}

 The dataset includes 686 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002073-250426092105405/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.29091420
title: Additional file 1 of Altitudinal gradients shaping tree diversity and regeneration dynamics in mountainous ecosystems

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.29091420.v1
title: Additional file 1 of Altitudinal gradients shaping tree diversity and regeneration dynamics in mountainous ecosystems

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.29091457
title: Additional file 3 of Efficacy of artemisinin-based combination therapy (ACT) in people living with HIV (PLHIV) diagnosed with uncomplicated Plasmodium falciparum malaria in Africa: a WWARN systematic review

description: Additional file 3. ROB assessment for non-RCTs: methods and outline of the risk of bias tables and responses to each of the signalling questions
DOI: 10.6084/m9.figshare.29091457.v1
title: Additional file 3 of Efficacy of artemisinin-based combination therapy (ACT) in people living with HIV (PLHIV) diagnosed with uncomplicated Plasmodium falciparum malaria in Africa: a WWARN systematic review

description: Additional file 3. ROB assessment for non-RCTs: methods and outline of the risk of bias tables and responses to each of the signalling questions
DOI: 10.6084/m9.figshare.29091460
title: Additional file 4 of Efficacy of artemisinin-based combination therapy (ACT) in people living with HIV (PLHIV) diagnosed with uncomplicated Plasmodium falciparum malaria in Africa: a WWARN systematic review

description: Additional file 4. ROB assessment for RCTs: methods and outline of the risk of bias tables and responses to each of the signalling questions
DOI: 10.6084/m9.figshare.29091460.v1
title: Additional file 4 of Efficacy of artemisinin-based combination therapy (ACT) in people living with HIV (PLHIV) diagnosed with uncomplicated Plasmodium falciparum malaria in Africa: a WWARN systematic review

description: Additional file 4. ROB assessment for RCTs: methods and outline of the risk of bias tables and responses to each of the signalling questions
DOI: 10.7910/dvn/0wf0bw
title: CARISMA: Aircraft Cabin and Cabin Systems Refurbishing, Optimization of Technical Processes

description: This Technical Note summarizes the results of the research project CARISMA. The project started in October 2008 and was split in five Work Packages. WP 1 provided the regulatory requirements towards obtaining DOA as well as the process chain of activities within the future completion center. WP 2 delivered a forecast of cabin modification scenarios that will be undertaken for the next 20 years, as well as an updatable EXCEL tool useful for own calculations. WP 3 investigated the implications of carrying out independent cabin conversions, based on two study cases. WP 4 delivered an overview of the tools required in a completion center. WP 5 analyzed the financial implications of the vision Completion Center. As an overall conclusion, ELAN should invest in the vision Completion Center, first of all due to the actual highly competitive market context. The strategy towards achieving this should be carefully selected. CARISMA serves this purpose, with its scientific view.
description: Excel
DOI: 10.6084/m9.figshare.29091517
title: Additional file 1 of TeLePhone Respiratory (TeLePoR) score to assess the risk of immediate respiratory support through phone call for acute dyspnoea: a prospective cohort study

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.29091517.v1
title: Additional file 1 of TeLePhone Respiratory (TeLePoR) score to assess the risk of immediate respiratory support through phone call for acute dyspnoea: a prospective cohort study

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.29091556
title: Additional file 1 of Unveiling the impact of DNA-methylation age acceleration on mortality risk in diabetes and pre-diabetes: insights from the US NHANES program

description: Supplementary material 1
DOI: 10.6084/m9.figshare.29091556.v1
title: Additional file 1 of Unveiling the impact of DNA-methylation age acceleration on mortality risk in diabetes and pre-diabetes: insights from the US NHANES program

description: Supplementary material 1
DOI: 10.6084/m9.figshare.29091568
title: Additional file 1 of Novel exosome-associated LncRNA model predicts colorectal cancer prognosis and drug response

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.29091568.v1
title: Additional file 1 of Novel exosome-associated LncRNA model predicts colorectal cancer prognosis and drug response

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.29091571
title: Additional file 2 of Novel exosome-associated LncRNA model predicts colorectal cancer prognosis and drug response

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.29091571.v1
title: Additional file 2 of Novel exosome-associated LncRNA model predicts colorectal cancer prognosis and drug response

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.29091574
title: Additional file 3 of Novel exosome-associated LncRNA model predicts colorectal cancer prognosis and drug response

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.29091574.v1
title: Additional file 3 of Novel exosome-associated LncRNA model predicts colorectal cancer prognosis and drug response

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.29091613
title: Additional file 3 of Systematic evaluations of forensic effectiveness and genetic structures of two ethnic groups in Northwest China using a self-developed Multi-InDel panel

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.29091613.v1
title: Additional file 3 of Systematic evaluations of forensic effectiveness and genetic structures of two ethnic groups in Northwest China using a self-developed Multi-InDel panel

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.29091628
title: Additional file 3 of Taxonomic significance of morphological and molecular variation in Egyptian Malvaceae species

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.29091628.v1
title: Additional file 3 of Taxonomic significance of morphological and molecular variation in Egyptian Malvaceae species

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.29091651
title: Additional file 1 of Iodine-125 plesiotherapy for murine tumor treatment

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.29091651.v1
title: Additional file 1 of Iodine-125 plesiotherapy for murine tumor treatment

description: Supplementary Material 1
DOI: 10.21227/t637-aa27
title: "DataForDL"

description: "This data is used for testing the deep learning plane wave ultrasound imaging network, including channel data from two sets of phantom data, single-angle plane wave images, and the network's prediction results."
DOI: 10.6084/m9.figshare.29091672
title: Additional file 4 of Determinants of implementing the 15-method in Danish general practice using the consolidated framework for implementation science

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.29091672.v1
title: Additional file 4 of Determinants of implementing the 15-method in Danish general practice using the consolidated framework for implementation science

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.28502831
title: Additional file 1 of Comprehensive genetic variant analysis reveals combination of KRAS and LRP1B as a predictive biomarker of response to immunotherapy in patients with non-small cell lung cancer

description: Supplementary Material 1: Additional file 1.xlsx– Patient characteristics: Table showing the baseline characteristics of the included patients presented in number (n) and percent (%).
DOI: 10.6084/m9.figshare.28502831.v1
title: Additional file 1 of Comprehensive genetic variant analysis reveals combination of KRAS and LRP1B as a predictive biomarker of response to immunotherapy in patients with non-small cell lung cancer

description: Supplementary Material 1: Additional file 1.xlsx– Patient characteristics: Table showing the baseline characteristics of the included patients presented in number (n) and percent (%).
DOI: 10.6084/m9.figshare.28502834
title: Additional file 2 of Comprehensive genetic variant analysis reveals combination of KRAS and LRP1B as a predictive biomarker of response to immunotherapy in patients with non-small cell lung cancer

description: Supplementary Material 2: Additional file 2.xlsx– List of genes screened for in panel: Displays a list of genes that were tested within the larger next-generation sequencing panel. Oncopanel All-In-One v2.8.
DOI: 10.6084/m9.figshare.28502834.v1
title: Additional file 2 of Comprehensive genetic variant analysis reveals combination of KRAS and LRP1B as a predictive biomarker of response to immunotherapy in patients with non-small cell lung cancer

description: Supplementary Material 2: Additional file 2.xlsx– List of genes screened for in panel: Displays a list of genes that were tested within the larger next-generation sequencing panel. Oncopanel All-In-One v2.8.
DOI: 10.6084/m9.figshare.28502843
title: Additional file 5 of Comprehensive genetic variant analysis reveals combination of KRAS and LRP1B as a predictive biomarker of response to immunotherapy in patients with non-small cell lung cancer

description: Supplementary Material 5: Additional file 5.xlsx - Summary of variants classified as pathogenic and likely pathogenic: Shows a list of patients and each variant classified as pathogenic or likely pathogenic. The table also includes a column of which variants were found in the broader next-generation sequencing panel.
DOI: 10.6084/m9.figshare.28502843.v1
title: Additional file 5 of Comprehensive genetic variant analysis reveals combination of KRAS and LRP1B as a predictive biomarker of response to immunotherapy in patients with non-small cell lung cancer

description: Supplementary Material 5: Additional file 5.xlsx - Summary of variants classified as pathogenic and likely pathogenic: Shows a list of patients and each variant classified as pathogenic or likely pathogenic. The table also includes a column of which variants were found in the broader next-generation sequencing panel.
DOI: 10.6084/m9.figshare.28502849
title: Additional file 6 of Comprehensive genetic variant analysis reveals combination of KRAS and LRP1B as a predictive biomarker of response to immunotherapy in patients with non-small cell lung cancer

description: Supplementary Material 6: Additional file 6.xlsx– Summary of variants classified as VUS, VUS + and VUS++: Shows a list of patients and each variant classified as VUS, VUS + or VUS++. The table also includes the results from the point-based evaluation system. Abbreviations used: VUS = variant of unknown significance.
DOI: 10.6084/m9.figshare.28502852
title: Additional file 7 of Comprehensive genetic variant analysis reveals combination of KRAS and LRP1B as a predictive biomarker of response to immunotherapy in patients with non-small cell lung cancer

description: Supplementary Material 7: Additional file 7.xlsx– Summary of variants for patients with anLRP1B-variant: Presents a list of patients with an LRP1B-variant together with other variants classified as pathogenic, likely pathogenic, VUS + + or VUS+. One column presents the patient’s clinical response to treatment. Abbreviations used: VUS = variant of unknown significance.
DOI: 10.6084/m9.figshare.28502852.v1
title: Additional file 7 of Comprehensive genetic variant analysis reveals combination of KRAS and LRP1B as a predictive biomarker of response to immunotherapy in patients with non-small cell lung cancer

description: Supplementary Material 7: Additional file 7.xlsx– Summary of variants for patients with anLRP1B-variant: Presents a list of patients with an LRP1B-variant together with other variants classified as pathogenic, likely pathogenic, VUS + + or VUS+. One column presents the patient’s clinical response to treatment. Abbreviations used: VUS = variant of unknown significance.
DOI: 10.6084/m9.figshare.28502855
title: Additional file 8 of Comprehensive genetic variant analysis reveals combination of KRAS and LRP1B as a predictive biomarker of response to immunotherapy in patients with non-small cell lung cancer

description: Supplementary Material 8: Additional file 8.xlsx– Co-variants among the most commonly mutated genes within the cohort: Combination of genes co-mutated within ten or more patients have dark blue backgrounds.
DOI: 10.6084/m9.figshare.28502855.v1
title: Additional file 8 of Comprehensive genetic variant analysis reveals combination of KRAS and LRP1B as a predictive biomarker of response to immunotherapy in patients with non-small cell lung cancer

description: Supplementary Material 8: Additional file 8.xlsx– Co-variants among the most commonly mutated genes within the cohort: Combination of genes co-mutated within ten or more patients have dark blue backgrounds.
DOI: 10.6084/m9.figshare.28502858
title: Additional file 9 of Comprehensive genetic variant analysis reveals combination of KRAS and LRP1B as a predictive biomarker of response to immunotherapy in patients with non-small cell lung cancer

description: Supplementary Material 9: Additional file 9 A-I-.xlsx- Multivariate cox-regression analyses.
DOI: 10.6084/m9.figshare.28502858.v1
title: Additional file 9 of Comprehensive genetic variant analysis reveals combination of KRAS and LRP1B as a predictive biomarker of response to immunotherapy in patients with non-small cell lung cancer

description: Supplementary Material 9: Additional file 9 A-I-.xlsx- Multivariate cox-regression analyses.
DOI: 10.6084/m9.figshare.28502867
title: Additional file 12 of Comprehensive genetic variant analysis reveals combination of KRAS and LRP1B as a predictive biomarker of response to immunotherapy in patients with non-small cell lung cancer

description: Supplementary Material 12: Additional file 12.xlsx– List of publications withLRP1B: The NSCLC studies in cBioPortal where LRP1B were tested.
DOI: 10.6084/m9.figshare.29091717
title: Additional file 1 of Evaluating the causal effects of life-course adiposity on jaw anomalies

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.29091717.v1
title: Additional file 1 of Evaluating the causal effects of life-course adiposity on jaw anomalies

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.29079218
title: vessel_size_share.gz.h5ad

description: Sample preparation- At birth, neonatal C57BL-6 (Charles River) mice were housed in room air (normoxia; N) or 80% O<sub>2</sub> (hyperoxia; H) for 72hr before euthanasia (N=6 per exposure; 3M 3F). Lungs were perfused with HBSS, excised, finely minced, pooled, and digested in Liberase TM (0.2mg/mL) plus DNaseI (0.01mg/mL) for 10min at 37.5 in a bacteriological shaker. The suspension was triturated 15 times. Liberase was inactivated using 2mM EDTA and cold FBS prior to pelleting the cell suspension. Cells were treated with 1X RBC Lysis for 5min then passed over a 30μm cell strainer before microbead enrichment (SmartStrainer, Miltenyi). In a parallel set of experiments, lungs were pressure fixed at 20cm H<sub>2</sub>O and paraffin embedded (FFPE) for <i>in situ </i>validation experiments.Enrichment by magnetic associated cell sorting (MACS)- Immune cells were depleted using anti-CD45 coated Dynabeads (Invitrogen). The supernatant was pelleted, counted, and resuspended with blocking buffer (anti-mouse CD16/CD32 and anti-rat IgG; 1:100) for 10min. Mouse anti-BST1–APC (PVEC marker, Biolegend) and rat anti-CD31–biotin (pan-EC marker, BD Pharminogen) antibodies were added to the cells (2μg/10M cells) and incubated on a HulaMixer for 20 minutes. To ensure sufficient PVEC for our analysis, following the manufacturer’s protocol, cells were first enriched for BST1 using the MACS anti-APC microbeads and then the flow through was enriched for CD31 using anti-biotin microbeads (Miltenyi MACS).Chromium GEMX 3’ v4 gene expression- Following the manufacturers protocol, enriched populations were then adjusted to 1500 cell/μL to obtain the 20,000 cell target input for gel bead emulsion formation (10X Genomics). Samples that met QC standards (Bioanalyzer, Stanford Protein and Nucleic Acid core) were used for barcoding, library construction and sequenced by NovoSeq Χ at a depth of 1B paired reads per sample (NovoGene Corporation Inc.).
DOI: 10.6084/m9.figshare.29091709
title: Additional file 14 of HBV-driven host chromatin accessibility changes affect liver metabolic pathways, iron homeostasis and promote a preneoplastic phenotype

description: Supplementary Material 14.
DOI: 10.6084/m9.figshare.29091709.v1
title: Additional file 14 of HBV-driven host chromatin accessibility changes affect liver metabolic pathways, iron homeostasis and promote a preneoplastic phenotype

description: Supplementary Material 14.
DOI: 10.6084/m9.figshare.29091712
title: Additional file 15 of HBV-driven host chromatin accessibility changes affect liver metabolic pathways, iron homeostasis and promote a preneoplastic phenotype

description: Supplementary Material 15.
DOI: 10.6084/m9.figshare.29091712.v1
title: Additional file 15 of HBV-driven host chromatin accessibility changes affect liver metabolic pathways, iron homeostasis and promote a preneoplastic phenotype

description: Supplementary Material 15.
DOI: 10.6084/m9.figshare.29091715
title: Additional file 16 of HBV-driven host chromatin accessibility changes affect liver metabolic pathways, iron homeostasis and promote a preneoplastic phenotype

description: Supplementary Material 16.
DOI: 10.6084/m9.figshare.29091715.v1
title: Additional file 16 of HBV-driven host chromatin accessibility changes affect liver metabolic pathways, iron homeostasis and promote a preneoplastic phenotype

description: Supplementary Material 16.
DOI: 10.6084/m9.figshare.29091718
title: Additional file 17 of HBV-driven host chromatin accessibility changes affect liver metabolic pathways, iron homeostasis and promote a preneoplastic phenotype

description: Supplementary Material 17.
DOI: 10.6084/m9.figshare.29091718.v1
title: Additional file 17 of HBV-driven host chromatin accessibility changes affect liver metabolic pathways, iron homeostasis and promote a preneoplastic phenotype

description: Supplementary Material 17.
DOI: 10.6084/m9.figshare.29091721
title: Additional file 18 of HBV-driven host chromatin accessibility changes affect liver metabolic pathways, iron homeostasis and promote a preneoplastic phenotype

description: Supplementary Material 18.
DOI: 10.6084/m9.figshare.29091721.v1
title: Additional file 18 of HBV-driven host chromatin accessibility changes affect liver metabolic pathways, iron homeostasis and promote a preneoplastic phenotype

description: Supplementary Material 18.
DOI: 10.6084/m9.figshare.29091724
title: Additional file 19 of HBV-driven host chromatin accessibility changes affect liver metabolic pathways, iron homeostasis and promote a preneoplastic phenotype

description: Supplementary Material 19.
DOI: 10.6084/m9.figshare.29091724.v1
title: Additional file 19 of HBV-driven host chromatin accessibility changes affect liver metabolic pathways, iron homeostasis and promote a preneoplastic phenotype

description: Supplementary Material 19.
DOI: 10.6084/m9.figshare.29091730
title: Additional file 21 of HBV-driven host chromatin accessibility changes affect liver metabolic pathways, iron homeostasis and promote a preneoplastic phenotype

description: Supplementary Material 21.
DOI: 10.6084/m9.figshare.29091730.v1
title: Additional file 21 of HBV-driven host chromatin accessibility changes affect liver metabolic pathways, iron homeostasis and promote a preneoplastic phenotype

description: Supplementary Material 21.
DOI: 10.6084/m9.figshare.29091733
title: Additional file 22 of HBV-driven host chromatin accessibility changes affect liver metabolic pathways, iron homeostasis and promote a preneoplastic phenotype

description: Supplementary Material 22.