cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20726392.v4
title: Incidence, risk and impact of unplanned ICU readmission on patient outcomes and resource utilisation in tertiary level ICUs in Nepal.

description: The study assesses the determinants of risk attributable to unplanned ICU readmission in four ICUs in Kathmandu, Nepal. Despite growing literature on this topic, most of the evidence on incidence, characteristics, associated risk factors and attributable outcomes of unplanned readmission to ICU are from studies performed in high-income countries. In this study, the registry-embedded eCRF reported data on case mix, severity of illness, in-ICU interventions (including organ support), ICU outcome, and readmission characteristics. Data were captured in all adult patients admitted between September 2019 and February 2021. Population and ICU encounter characteristics were compared between those with and without readmission. Independent risk factors for readmission were assessed using univariate analysis. Unplanned ICU readmission rates were adversely associated with significantly poorer outcomes, increased ICU resource utilisation. Clinical and organisational characteristics influenced risk of readmission and outcome.
DOI: 10.6084/m9.figshare.21316062.v1
title: Additional file 1 of Tau seeding in cases of multiple sclerosis

description: Addtional file 1: Table 1: MS subject characteristics.
DOI: 10.6084/m9.figshare.21316062
title: Additional file 1 of Tau seeding in cases of multiple sclerosis

description: Addtional file 1: Table 1: MS subject characteristics.
DOI: 10.6084/m9.figshare.21316085
title: Additional file 2 of Postnatal developmental trajectory of sex-biased gene expression in the mouse pituitary gland

description: Additional file 2: Table S1. Quality control metrics of 3’UTR-seq and small RNA-seq libraries.
DOI: 10.6084/m9.figshare.21316091
title: Additional file 4 of Postnatal developmental trajectory of sex-biased gene expression in the mouse pituitary gland

description: Additional file 4: Table S3. Differential analysis results for gene expression.
DOI: 10.6084/m9.figshare.21316085.v1
title: Additional file 2 of Postnatal developmental trajectory of sex-biased gene expression in the mouse pituitary gland

description: Additional file 2: Table S1. Quality control metrics of 3’UTR-seq and small RNA-seq libraries.
DOI: 10.6084/m9.figshare.21316088
title: Additional file 3 of Postnatal developmental trajectory of sex-biased gene expression in the mouse pituitary gland

description: Additional file 3: Table S2. Novel miRNAs and sequences.
DOI: 10.6084/m9.figshare.21316088.v1
title: Additional file 3 of Postnatal developmental trajectory of sex-biased gene expression in the mouse pituitary gland

description: Additional file 3: Table S2. Novel miRNAs and sequences.
DOI: 10.6084/m9.figshare.21316097
title: Additional file 5 of Postnatal developmental trajectory of sex-biased gene expression in the mouse pituitary gland

description: Additional file 5: Table S4. Differential analysis results for miRNA expression.
DOI: 10.6084/m9.figshare.21316097.v1
title: Additional file 5 of Postnatal developmental trajectory of sex-biased gene expression in the mouse pituitary gland

description: Additional file 5: Table S4. Differential analysis results for miRNA expression.
DOI: 10.6084/m9.figshare.21316100
title: Additional file 6 of Postnatal developmental trajectory of sex-biased gene expression in the mouse pituitary gland

description: Additional file 6: Table S5. gProfiler pathway enrichment of sex-biased genes.
DOI: 10.6084/m9.figshare.21316100.v1
title: Additional file 6 of Postnatal developmental trajectory of sex-biased gene expression in the mouse pituitary gland

description: Additional file 6: Table S5. gProfiler pathway enrichment of sex-biased genes.
DOI: 10.6084/m9.figshare.21316103
title: Additional file 7 of Postnatal developmental trajectory of sex-biased gene expression in the mouse pituitary gland

description: Additional file 7: Table S6. Correlation of miRNA–gene targets.
DOI: 10.6084/m9.figshare.21316091.v1
title: Additional file 4 of Postnatal developmental trajectory of sex-biased gene expression in the mouse pituitary gland

description: Additional file 4: Table S3. Differential analysis results for gene expression.
DOI: 10.6084/m9.figshare.21316103.v1
title: Additional file 7 of Postnatal developmental trajectory of sex-biased gene expression in the mouse pituitary gland

description: Additional file 7: Table S6. Correlation of miRNA–gene targets.
DOI: 10.6084/m9.figshare.21316109
title: Additional file 8 of Postnatal developmental trajectory of sex-biased gene expression in the mouse pituitary gland

description: Additional file 8: Table S7. Genes in co-expression modules.
DOI: 10.6084/m9.figshare.21316112
title: Additional file 9 of Postnatal developmental trajectory of sex-biased gene expression in the mouse pituitary gland

description: Additional file 9: Table S8. Sex-biased genes identified by scMappR in cell types.
DOI: 10.6084/m9.figshare.21316112.v1
title: Additional file 9 of Postnatal developmental trajectory of sex-biased gene expression in the mouse pituitary gland

description: Additional file 9: Table S8. Sex-biased genes identified by scMappR in cell types.
DOI: 10.6084/m9.figshare.21316109.v1
title: Additional file 8 of Postnatal developmental trajectory of sex-biased gene expression in the mouse pituitary gland

description: Additional file 8: Table S7. Genes in co-expression modules.
DOI: 10.6084/m9.figshare.21316124
title: Additional file 10 of CSPG4 expression in soft tissue sarcomas is associated with poor prognosis and low cytotoxic immune response

description: Additional file 10: Table S5. (File format .xls). Supervised analysis of CNA between the “CSPG4-high” (N=123) and “CSPG4-low” (N=132) tumors.
DOI: 10.6084/m9.figshare.21316124.v1
title: Additional file 10 of CSPG4 expression in soft tissue sarcomas is associated with poor prognosis and low cytotoxic immune response

description: Additional file 10: Table S5. (File format .xls). Supervised analysis of CNA between the “CSPG4-high” (N=123) and “CSPG4-low” (N=132) tumors.
DOI: 10.6084/m9.figshare.21316127
title: Additional file 11 of CSPG4 expression in soft tissue sarcomas is associated with poor prognosis and low cytotoxic immune response

description: Additional file 11: Table S6. (File format .xls). Supervised analysis of mutation rates between the “CSPG4-high” (N=119) and “CSPG4-low” (N=126) tumors.
DOI: 10.6084/m9.figshare.21316127.v1
title: Additional file 11 of CSPG4 expression in soft tissue sarcomas is associated with poor prognosis and low cytotoxic immune response

description: Additional file 11: Table S6. (File format .xls). Supervised analysis of mutation rates between the “CSPG4-high” (N=119) and “CSPG4-low” (N=126) tumors.
DOI: 10.6084/m9.figshare.21316130
title: Additional file 12 of CSPG4 expression in soft tissue sarcomas is associated with poor prognosis and low cytotoxic immune response

description: Additional file 12: Table S7. (File format .xls). List of the 84 sites differentially methylated between the “CSPG4-high” (N=101) and “CSPG4-low” (N=118) tumors.
DOI: 10.6084/m9.figshare.21316130.v1
title: Additional file 12 of CSPG4 expression in soft tissue sarcomas is associated with poor prognosis and low cytotoxic immune response

description: Additional file 12: Table S7. (File format .xls). List of the 84 sites differentially methylated between the “CSPG4-high” (N=101) and “CSPG4-low” (N=118) tumors.
DOI: 10.6084/m9.figshare.21316133
title: Additional file 13 of CSPG4 expression in soft tissue sarcomas is associated with poor prognosis and low cytotoxic immune response

description: Additional file 13: Table S8. (File format .xls). Expression data of each tumor normalised and used for the paper.
DOI: 10.6084/m9.figshare.21316133.v1
title: Additional file 13 of CSPG4 expression in soft tissue sarcomas is associated with poor prognosis and low cytotoxic immune response

description: Additional file 13: Table S8. (File format .xls). Expression data of each tumor normalised and used for the paper.
DOI: 10.6084/m9.figshare.21316136
title: Additional file 1 of CSPG4 expression in soft tissue sarcomas is associated with poor prognosis and low cytotoxic immune response

description: Additional file 1: Table S1. (File format .xls). List of soft tissue sarcoma data sets included.
DOI: 10.6084/m9.figshare.21316136.v1
title: Additional file 1 of CSPG4 expression in soft tissue sarcomas is associated with poor prognosis and low cytotoxic immune response

description: Additional file 1: Table S1. (File format .xls). List of soft tissue sarcoma data sets included.
DOI: 10.6084/m9.figshare.21316154
title: Additional file 7 of CSPG4 expression in soft tissue sarcomas is associated with poor prognosis and low cytotoxic immune response

description: Additional file 7: Table S2. (File format .xls). Uni- and multivariate prognostic analyses for DFS including the ICR signature.
DOI: 10.6084/m9.figshare.21316154.v1
title: Additional file 7 of CSPG4 expression in soft tissue sarcomas is associated with poor prognosis and low cytotoxic immune response

description: Additional file 7: Table S2. (File format .xls). Uni- and multivariate prognostic analyses for DFS including the ICR signature.
DOI: 10.6084/m9.figshare.21316157
title: Additional file 8 of CSPG4 expression in soft tissue sarcomas is associated with poor prognosis and low cytotoxic immune response

description: Additional file 8: Table S3. (File format .xls). List of 379 genes differentially expressed between the “CSPG4-high” and “CSPG4-low” tumors.
DOI: 10.6084/m9.figshare.21316157.v1
title: Additional file 8 of CSPG4 expression in soft tissue sarcomas is associated with poor prognosis and low cytotoxic immune response

description: Additional file 8: Table S3. (File format .xls). List of 379 genes differentially expressed between the “CSPG4-high” and “CSPG4-low” tumors.
DOI: 10.6084/m9.figshare.21316160
title: Additional file 9 of CSPG4 expression in soft tissue sarcomas is associated with poor prognosis and low cytotoxic immune response

description: Additional file 9: Table S4. (File format .xls). Ontologies associated with the 379 genes differentially expressed between the “CSPG4-high” and “CSPG4-low” tumors.
DOI: 10.6084/m9.figshare.21316160.v1
title: Additional file 9 of CSPG4 expression in soft tissue sarcomas is associated with poor prognosis and low cytotoxic immune response

description: Additional file 9: Table S4. (File format .xls). Ontologies associated with the 379 genes differentially expressed between the “CSPG4-high” and “CSPG4-low” tumors.
DOI: 10.6084/m9.figshare.21152092.v1
title: Supplementary da ta for semantic similarity calculation of The Analects

description: Supplementary data about the paper "A Semantic Similarity Analysis of Multiple English Translations of The Analects: Based on an NLP Algorithm" <br> <br>
DOI: 10.21227/8jzz-3x76
title: Cardiopulmonary Sounds Database

description: This data set contains information on cardiopulmonary signals that were recorded simultaneously. The signals are separated into two folders, one titled heart sounds and the other lung sounds. In addition, two matlab programs are included, one with which the signals can be recorded and another to make graphs in time and frequency. It also has a pdf file that details the nomenclature of the signals.This data set can be useful for various signal processing algorithms: filtering, PCA, LDA, ICA, CNN, etc.
DOI: 10.5281/zenodo.6827464
title: Annex 1 – Actions and measures relevant to research integrity matched to the UK Concordat

description: The present dataset is an Annex to the Discussion Document entitled “Indicators of Research Integrity: An initial exploration of the landscape, opportunities and challenges”. It consists in a longlist of actions and measures that organisations may put in place to support research integrity, building on a set of documents that we considered to represent the perspectives of the stakeholder groups mentioned in the UK Concordat to Support Research Integrity, including: researchers; employers of researchers (i.e. bodies that conduct or host research; employ, support or host researchers; teach research students; or allow research to be carried out under their auspices); research funders; and other organisations (e.g. professional, statutory and regulatory bodies; academies and learned societies; professional and subject-specific representative bodies; journals and publishers; and organisations offering advice, guidance and support). The table below provides an overview of the documents covered in the dataset. It should be noted that our selection of documents is not meant to imply that other efforts are of lesser importance: it is only a starting point for discussion and seeks to represent a breadth of stakeholder views. Document Lead Main perspective(s) UKRIO Self-Assessment Tool for The Concordat to Support Research Integrity UK Research Integrity Office (UKRIO) Employers of researchers The Hong Kong Principles for assessing researchers: Fostering research integrity Moher et al. (academic article) Researchers, Employers of researchers, Research funders Research integrity: a landscape study UK Research and Innovation (UKRI), Vitae, UK Research Integrity Office (UKRIO), UK Reproducibility Network (UKRN) All stakeholders What Researchers Think About the Culture They Work In Wellcome Researchers, Employers of researchers, Research funders The European Code of Conduct for Research Integrity All European Academies (ALLEA) All stakeholders Handbook on Research Integrity European Network for Research Ethics and Integrity (ENERI) Researchers, Employers of researchers, Research funders Guideline for Promoting Research Integrity in Research Funding Organisations Standard Operating Procedures for Research Integrity (SOPs4RI) Research funders Guideline for Promoting Research Integrity in Research Performing Organisations Standard Operating Procedures for Research Integrity (SOPs4RI) Employers of researchers Cooperation between research institutions and journals on research integrity cases: guidance from the Committee on Publication Ethics Committee on Publication Ethics (COPE) Publishers and Employers of researchers COPE Retraction Guidelines Committee on Publication Ethics (COPE) Publishers Find more outputs of this project in the dedicated Zenodo community.
description: This study has been funded by UK Research and Innovation (UKRI), Cancer Research UK (CRUK) and GuildHE. For more information, contact UKRI at: researchintegrity@ukri.org.
DOI: 10.5281/zenodo.7050377
title: The frequent occurrence and metabolic versatility of Marinifilaceae bacteria involved in organic matter mineralization as a key member in global deep sea

description: Transfer of animal and plant detritus of both terrestrial and marine origins to the deep sea occurs on the global scale. Microorganisms play an important role in mineralizing them therein, yet to identify <em>in situ</em>. To observe key bacteria involved, we conducted long-term <em>in situ</em> incubation and found the family <em>Marinifilaceae </em>occurred as one of the most predominant bacteria thriving on the new inputs of plant and animal biomasses in the deep sea of both marginal and oceanic areas. This taxa is diverse and ubiquitous in marine environments. A total of 11 MAGs belonging to MF were retrieved from metagenomic data and diverged into four subgroups based on the phylogenomic tree. We described the metabolic features and <em>in situ</em> metabolizing activities of different MF subgroups via the metagenomic and metatranscriptomic data. One representative subgroup MF-2 dominated plant detritus-enriched cultures and specialized in polysaccharide degradation and lignin oxidation. Intriguingly, they encode nitrogen fixation pathway to compensate for the shortage of nitrogen sources inside the plant detritus. In contrast, those dominating the animal tissue-supported microbiomes were more diverse and formed three subgroups, which distinguished themselves from MF-2 in carbon and nitrogen metabolisms. Despite these metabolic divergences of MF lineages, they harbored anaerobic processes for energy conservation via organic fermentation, anaerobic respiration via iron and manganese reduction, and/or dimethyl sulfoxide reduction. These results highlight the role of <em>Marinifilaceae</em> bacteria neglected before in organic matter mineralizing in marine environments coupling carbon and nitrogen cycling with metals and other elements.
DOI: 10.5281/zenodo.7050448
title: The frequent occurrence and metabolic versatility of Marinifilaceae bacteria involved in organic matter mineralization as a key member in global deep sea

description: Transfer of animal and plant detritus of both terrestrial and marine origins to the deep sea occurs on the global scale. Microorganisms play an important role in mineralizing them therein, yet to identify <em>in situ</em>. To observe key bacteria involved, we conducted long-term <em>in situ</em> incubation and found the family <em>Marinifilaceae </em>occurred as one of the most predominant bacteria thriving on the new inputs of plant and animal biomasses in the deep sea of both marginal and oceanic areas. This taxa is diverse and ubiquitous in marine environments. A total of 11 MAGs belonging to MF were retrieved from metagenomic data and diverged into four subgroups based on the phylogenomic tree. We described the metabolic features and <em>in situ</em> metabolizing activities of different MF subgroups via the metagenomic and metatranscriptomic data. One representative subgroup MF-2 dominated plant detritus-enriched cultures and specialized in polysaccharide degradation and lignin oxidation. Intriguingly, they encode nitrogen fixation pathway to compensate for the shortage of nitrogen sources inside the plant detritus. In contrast, those dominating the animal tissue-supported microbiomes were more diverse and formed three subgroups, which distinguished themselves from MF-2 in carbon and nitrogen metabolisms. Despite these metabolic divergences of MF lineages, they harbored anaerobic processes for energy conservation via organic fermentation, anaerobic respiration via iron and manganese reduction, and/or dimethyl sulfoxide reduction. These results highlight the role of <em>Marinifilaceae</em> bacteria neglected before in organic matter mineralizing in marine environments coupling carbon and nitrogen cycling with metals and other elements.
DOI: 10.5281/zenodo.7050376
title: The frequent occurrence and metabolic versatility of Marinifilaceae bacteria involved in organic matter mineralization as a key member in global deep sea

description: Transfer of animal and plant detritus of both terrestrial and marine origins to the deep sea occurs on the global scale. Microorganisms play an important role in mineralizing them therein, yet to identify <em>in situ</em>. To observe key bacteria involved, we conducted long-term <em>in situ</em> incubation and found the family <em>Marinifilaceae </em>occurred as one of the most predominant bacteria thriving on the new inputs of plant and animal biomasses in the deep sea of both marginal and oceanic areas. This taxa is diverse and ubiquitous in marine environments. A total of 11 MAGs belonging to MF were retrieved from metagenomic data and diverged into four subgroups based on the phylogenomic tree. We described the metabolic features and <em>in situ</em> metabolizing activities of different MF subgroups via the metagenomic and metatranscriptomic data. One representative subgroup MF-2 dominated plant detritus-enriched cultures and specialized in polysaccharide degradation and lignin oxidation. Intriguingly, they encode nitrogen fixation pathway to compensate for the shortage of nitrogen sources inside the plant detritus. In contrast, those dominating the animal tissue-supported microbiomes were more diverse and formed three subgroups, which distinguished themselves from MF-2 in carbon and nitrogen metabolisms. Despite these metabolic divergences of MF lineages, they harbored anaerobic processes for energy conservation via organic fermentation, anaerobic respiration via iron and manganese reduction, and/or dimethyl sulfoxide reduction. These results highlight the role of <em>Marinifilaceae</em> bacteria neglected before in organic matter mineralizing in marine environments coupling carbon and nitrogen cycling with metals and other elements.
DOI: 10.5281/zenodo.7051906
title: The frequent occurrence and metabolic versatility of Marinifilaceae bacteria involved in organic matter mineralization as a key member in global deep sea

description: Transfer of animal and plant detritus of both terrestrial and marine origins to the deep sea occurs on the global scale. Microorganisms play an important role in mineralizing them therein, yet to identify <em>in situ</em>. To observe key bacteria involved, we conducted long-term <em>in situ</em> incubation and found the family <em>Marinifilaceae </em>occurred as one of the most predominant bacteria thriving on the new inputs of plant and animal biomasses in the deep sea of both marginal and oceanic areas. This taxa is diverse and ubiquitous in marine environments. A total of 11 MAGs belonging to MF were retrieved from metagenomic data and diverged into four subgroups based on the phylogenomic tree. We described the metabolic features and <em>in situ</em> metabolizing activities of different MF subgroups via the metagenomic and metatranscriptomic data. One representative subgroup MF-2 dominated plant detritus-enriched cultures and specialized in polysaccharide degradation and lignin oxidation. Intriguingly, they encode nitrogen fixation pathway to compensate for the shortage of nitrogen sources inside the plant detritus. In contrast, those dominating the animal tissue-supported microbiomes were more diverse and formed three subgroups, which distinguished themselves from MF-2 in carbon and nitrogen metabolisms. Despite these metabolic divergences of MF lineages, they harbored anaerobic processes for energy conservation via organic fermentation, anaerobic respiration via iron and manganese reduction, and/or dimethyl sulfoxide reduction. These results highlight the role of <em>Marinifilaceae</em> bacteria neglected before in organic matter mineralizing in marine environments coupling carbon and nitrogen cycling with metals and other elements.
DOI: 10.4121/20814784
title: Supporting information: "Chenier Formation Through Wave Winnowing and Tides"

description: This dataset accompanies the paper entitled, "Chenier Formation Through Wave Winnowing and Tides", published in the Journal of Geophysical Research: Earth Surface. The Delft3D model input files used in this study have been included here as supporting information. One of the 28 scenarios modelled has been included here (the scenario shown in Figure 1), the model files of all scenarios are identical except for the boundary conditions (waves and water level), the MorFac (morphological acceleration factor, which was scaled inversely to the wave height) and the run duration. These files were run with Delft3D-FLOW version 4.00.04.757 and Delft3D-WAVE version 3.04.01.757 to produce the results shown in this paper. Details regarding the individual file types can be found in the Delft3D User Manual.
DOI: 10.6084/m9.figshare.21152092.v2
title: Supplementary da ta for semantic similarity calculation of The Analects

description: Supplementary data about the paper "A Semantic Similarity Analysis of Multiple English Translations of The Analects: Based on an NLP Algorithm" <br> <br>
DOI: 10.5282/ubm/data.320
title: Supplementary Datasets for the Paper "A heated rock crack captures and polymerizes primordial DNA and RNA"

description: Previous version of this dataset: Dirscherl, Christina Felicitas and Braun, Dieter: Supplementary Datasets for the Paper "A Heated Rock Pore Promotes Primordial DNA and RNA Polymerization". 2022. Open Data LMU. 10.5282/ubm/data.296