cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.15019245.v2
title: Association between the degree of obstructive sleep apnea and the severity of COVID-19: An explorative retrospective cross-sectional study

description: Obstructive sleep apnea (OSA) on its own, as well as its risk factors, have been found to be associated with the outcome of Coronavirus disease 2019 (COVID-19). However, the association between the degree of OSA and COVID-19 severityis unclear. Therefore, the aim of the study was to evaluate whether or not parameters to clinically evaluate OSA severityand the type of OSA treatment are associated with COVID-19 severity. Patient data from OSA patients diagnosed with COVID-19 were reviewed from outpatients from the Isala Hospital and patients admitted to the Isala Hospital, starting from March until December 2020. Baseline patient data, sleep study parameters, OSA treatment information and hospital admission data were collected. Apnea hypopnea index (AHI), low oxyhemoglobin desaturation (LSAT), oxygen desaturation index (ODI), respiratory disturbance index (RDI), and the type of OSA treatment were regarded as the independent variables. COVID-19 severity – based on hospital or intensive care unit (ICU) admission and the number of days of hospitalization – were regarded as the outcome variables. Multinomial regression analysis, binary logistic regression analysis, and zero-inflated negative binomial regression analysis were used to assess the association between the parameters to clinically evaluate OSA severity and COVID-19 severity. A total of 137 patients were included. OnlyLSAT was found to be significantly associated with the COVID-19 severity (p&lt;0.05) when COVID-19 severity was dichotomized as non-hospitalized or hospitalized and ICU admission or death. Therefore, our findings showed that LSAT seems to be a significant risk factor for COVID-19 severity. However, the degree of OSA – based on AHI, ODI, and RDI – and OSA treatment were not found to be risk factors for COVID-19 severity when looking at hospital or ICU admission and the number of days of hospitalization.<br>
DOI: 10.6084/m9.figshare.15019245.v1
title: Association between the degree of obstructive sleep apnea and the severity of COVID-19: An explorative retrospective cross-sectional study

description: Obstructive sleep apnea (OSA) on its own, as well as its risk factors, have been found to be associated with the outcome of Coronavirus disease 2019 (COVID-19). However, the association between the degree of OSA and the severity of COVID-19 is unclear. Therefore, the aim of the study was to evaluate whether or not parameters to clinically evaluate OSA severity and the type of OSA treatment are associated with COVID-19 severity. Patient data from OSA patients diagnosed with COVID-19 were reviewed from outpatients from the Isala Hospital and patients admitted to the Isala Hospital, starting from March until December 2020. Baseline patient data, sleep study results, OSA treatment information and hospital admission data were collected. Apnea hypopnea index (AHI), low oxyhemoglobin desaturation (LSAT), oxygen desaturation index (ODI), respiratory disturbance index (RDI), and the type of OSA treatment were regarded as the independent variables. The severity of COVID-19 based on hospital or intensive care unit (ICU) admission and the number of days of hospitalization were regarded as the outcome variables. Multinomial regression analysis and zero-inflated negative binomial regression analysis were used to assess the association between the parameters to clinically evaluate OSA severity and COVID-19 severity. A total of 137 patients were included. Multivariate analyses showed that there was no significant association between AHI, LSAT, ODI, RDI, or the type of OSA treatment and hospital or ICU admission for COVID-19, and also not with number of days of hospitalization (p&gt;0.05). Although previous studies found OSA to be a risk factor for COVID-19, our findings showed that the degree of OSA and OSA treatment were not significantly associated with the severity of COVID-19 when looking at hospital or ICU admission and the number of days of hospitalization.
DOI: 10.6084/m9.figshare.8397926.v10
title: AMAR L2+Products_all_cruises

description: ADEON Cruises: AR025, EN615, EN626, and AR040 AMAR L2+ data product. This data contains the Level 2 results computed from the ADEON passive acoustic monitoring data. Level 2 results are sound pressure levels (SPL), sound exposure levels (SEL) computed over different snapshot durations, and SPL/SEL statistics computed over different temporal analysis windows, as described in the ADEON Soundscape and Modelling Metadata Standard. The data is accompanied by folder containing 6 different readme files.
DOI: 10.6084/m9.figshare.15170577.v2
title: 情報メディアの選択（2019年度）

description: ※Figshare上では文字化けしますがDLすることで正常に閲覧可能です（UTF-8）大学一年生の学習における情報メディアの選択に関するインタビューの文字起こしデータです。調査協力者の同意のもと，固有名詞および個人を特定しうる情報に一律マスキングを行って公開しています。データを使用した論文は現在投稿中です。
DOI: 10.6084/m9.figshare.15170577.v1
title: 情報メディアの選択（2019年度）

description: ※Figshare上では文字化けしますがDLすることで正常に閲覧可能です（UTF-8）大学一年生の学習における情報メディアの選択に関するインタビューの文字起こしデータです。調査協力者の同意のもと，固有名詞に一律マスキングを行って公開しています。データを使用した論文は現在投稿中です。
DOI: 10.6084/m9.figshare.14960006.v1
title: Data for reproducing Webster figures

description: # Data for reproducing Webster figures<br>This zip file contains the file structure and input data for plugging into the Webster figure generation code repo (https://github.com/joshbiology/gene_fn).<br>For flat files and Excel spreadsheets containing the actual output of Webster, see our other Figshare (10.6084/m9.figshare.14963561).<br>This folder is strucured as follows:<br>```data├── interim│ ├── biomarker│ └── matlab│ ├── depmap_deep│ ├── depmap_denoise│ ├── depmap_grid│ ├── depmap_wide│ ├── durocher│ ├── durocher_no_graph│ └── synthetic└── raw ├── depmap ├── durocher ├── genesets ├── hart ├── humancellmap ├── nusiance_genesets └── prism```<br><br>## raw<br>This folder contains tables from other resources, described below.<br>* depmap<br>https://depmap.org/<br>* durocher<br>https://pubmed.ncbi.nlm.nih.gov/32649862/<br>* genesets<br>Custom genesets from:<br>* * STAGA/ATAC complexes (Spedale et al., 2012)* * SWI/SNF complexes (Mashtalir et al., 2018).* * Mediator complex (Tsai et al., 2014). * * Integrator complex (Pfleiderer and Galej, 2021; Sabath et al., 2020; Tilley et al., 2021; Zheng et al., 2020)<br><br>* hart<br>Common essential genesets from Hart et al. 2015<br>* humancellmap<br>Subcellular localization info from https://humancellmap.org/ and Go et al. 2021.<br>* nusiance_genesets<br>Genesets from HUGO.<br>* prism<br>Compound sensitivity data from https://depmap.org/repurposing/ and Corsello et al 2020.<br><br>## interim<br>This folder contains MATLAB files (.mat) that are the output of the dual-graph regularized dictionary learning applied with this codebase (https://github.com/joshbiology/graph_dictionary_learning) on preprocessed input data contained here (10.6084/m9.figshare.14963561).<br>* depmap_deep<br>Input: DepMap data. Output: sweep over a few values of k, at t=4 and multiple random seeds.<br>* depmap_denoise<br>Input: DepMap data with added noise. Output: Dictionaries (k=220, t=4) learned on noisy DepMap data.<br>* depmap_grid<br>Input: DepMap data. Output: sweep over many values of k and t.<br>* depmap_wide<br>Input: DepMap data. Output: sweep over many values of k, and t = 4 and the same random seed.<br>* durocher<br>Input: genotoxic fitness data (Olivieri et al 2020). Output: sweep over many values of k, at t=1,2.<br>* durocher_no_graph<br>Input: genotoxic fitness data (Olivieri et al 2020). Output: sweep over many values of k, at t=1,2, with alpha and beta set to 0. <br>* synthetic<br>Input: Synthetic fitness data.
DOI: 10.6084/m9.figshare.14975298.v2
title: Figure 2 Module Detection Results

description: Overlap of standard-optimized clusters obtained from the Fig. 2 module detection analysis for networks and integration methods. Module standards are IntAct Complexes, KEGG Pathways and GO Biological Processes.
DOI: 10.6084/m9.figshare.14975298.v1
title: Figure 2 Module Detection Results

description: Overlap of standard-optimized clusters obtained from the Fig. 2 module detection analysis for networks and BIONIC features. Module standards are IntAct Complexes, KEGG Pathways and GO Biological Processes.
DOI: 10.6084/m9.figshare.15173088.v1
title: The Hsc70 Disaggregation Machinery Removes Monomer Units Directly from α-Synuclein Fibril Ends

description: Source data for the figures.
DOI: 10.6084/m9.figshare.15184323.v1
title: Multi-period SSC variation

description: datasets of the manuscript "Multi-period variations of coastal suspended sediment concentration retrieved from satellite images"<br>
DOI: 10.6084/m9.figshare.14870556.v1
title: Venny Chong data.xlsx

description: This is raw data for human capital & fund characteristics and performance in Malaysia
DOI: 10.6084/m9.figshare.15178107.v2
title: A 500-year runoff reconstruction for European catchments

description: As the Earth’s climate continues to warm, stream flow and the seasonality of low flow drought are predicted to change in the future. To understand European hydrology and overcome the future extremities. This is the first research that's attempted to reconstruct the past 500 years of runoff in multiple European catchments. We explored hydrologic and data driven models to identify drought events and confirmed it with written records.
DOI: 10.6084/m9.figshare.15178107.v1
title: A 500-year runoff reconstruction for European catchments

description: As the Earth’s climate continues to warm, stream flow and the seasonality of low flow drought are predicted to change in the future. To understand European hydrology and overcome the future extremities. This is the first research that's attempted to reconstruct the past 500 years of runoff in multiple European catchments. We explored hydrologic and data driven models to identify drought events and confirmed it with written records.
DOI: 10.6084/m9.figshare.15217197.v1
title: FLUID SHEAR STRESS-INDUCED MECHANOTRANSDUCTION IN MYOBLASTS: DOES IT DEPEND ON GLYCOCALYX?

description: Muscle stem cells (MuSCs) are requisite for skeletal muscle regeneration and homeostasis. Mechanically loaded MuSCs within their native niche undergo tensile and shear deformations, but how MuSCs sense mechanical stimuli and translate these into biochemical signals regulating function and fate is still poorly understood. The glycocalyx is known to affect the response of endothelial cells, bone cells, and myotubes to fluid shear stress (FSS), but whether it plays a role in the mechanoresponse of MuSCs is unknown. The data published here is the research output on the role of glycocalyx in mechanotransduction. <br>
DOI: 10.6084/m9.figshare.15241797.v1
title: Liver X receptor α promotes milk fat synthesis in buffalo mammary epithelial cells by regulating the expression of FASN

description: Supplementary material
DOI: 10.6084/m9.figshare.13181966.v1
title: L1000 data for profiling comparison

description: L1000 gene expression data collected in A549 cell lines for select drug compound perturbations. This dataset is used to compare information content in different profiling technologies.
DOI: 10.6084/m9.figshare.3761562.v1957
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.3761562.v1956
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.11888157.v8
title: 9. DataInBrief: bacterial AntiSMASH annotated contigs, raw data

description: Bacterial antiSMASH results of contig annotations Cancel
DOI: 10.6084/m9.figshare.11888157.v7
title: 9. DataInBrief: bacterial AntiSMASH annotated contigs, raw data

description: Bacterial antiSMASH results of contig annotations Cancel
DOI: 10.6084/m9.figshare.12839879.v2
title: ExomeT1

description: Single Cell Exome
DOI: 10.6084/m9.figshare.12839879.v1
title: ExomeT1

description: Single Cell Exome
DOI: 10.6084/m9.figshare.14995314.v5
title: Effect of behavioural sampling methods on local and global social network metrics: A case-study of three macaque species

description: Data set and R-codes
DOI: 10.6084/m9.figshare.14995314.v4
title: Effect of behavioural sampling methods on local and global social network metrics: A case-study of three macaque species

description: Data set and R-codes
DOI: 10.6084/m9.figshare.11973693.v12
title: Solar wind in situ data for creating catalogs and statistics of interplanetary coronal mass ejections and high speed streams (Solar Orbiter, Parker Solar Probe, STEREO-A/B, MAVEN, Wind, MESSENGER, VEX, Ulysses) 2007-2021

description: These are solar wind in situ data arrays in python pickle format suitable for creating catalogs, plots and movies of interplanetary coronal mass ejections.<br><br>See AAREADME_insitu.txt for more explanation.<br>If you use these data for peer reviewed scientific publications, please get in touch by christian.moestl@oeaw.ac.at or twitter @chrisoutofspace concerning usage and possible co-authorship.<br>Made with https://github.com/cmoestl/heliocats
DOI: 10.6084/m9.figshare.11973693.v11
title: Solar wind in situ data for creating catalogs and statistics of interplanetary coronal mass ejections and high speed streams (Solar Orbiter, Parker Solar Probe, STEREO-A/B, MAVEN, Wind, MESSENGER, VEX, Ulysses) 2007-2021

description: These are solar wind in situ data arrays in python pickle format suitable for creating catalogs, plots and movies of interplanetary coronal mass ejections.<br><br>See AAREADME_insitu.txt for more explanation.<br>If you use these data for peer reviewed scientific publications, please get in touch by christian.moestl@oeaw.ac.at or twitter @chrisoutofspace concerning usage and possible co-authorship.<br>Made with https://github.com/cmoestl/heliocats
DOI: 10.6084/m9.figshare.16406817.v2
title: Tabla 2

description: <b>Relación del volumen de búsqueda relativo (VBR), para los temas Me Too, acoso sexual y violencia de género, en el conjunto del periodo del 1 de enero de 2004 al 31 de julio de 2021, según país</b>
DOI: 10.6084/m9.figshare.16406817.v1
title: Untitled Item

description: <b>Relación del volumen de búsqueda relativo (VBR), para los temas Me Too, acoso sexual y violencia de género, en el conjunto del periodo del 1 de enero de 2004 al 31 de julio de 2021, según país</b>
DOI: 10.6084/m9.figshare.12896729.v3
title: ExomeT2

description: Single Cell Exome
DOI: 10.6084/m9.figshare.12896729.v2
title: ExomeT2

description: Single Cell Exome
DOI: 10.6084/m9.figshare.16306089.v1
title: Supplementary Table 10

description: Supplementary Table 10 for <i>Communications Biology</i> manuscript entitled: The genome of a dipterocarp <i>Shorea leprosula</i> highlights the ecological relevance of drought in aseasonal tropical rainforests.<br>Supplementary Table 10: Collinear blocks of <i>Shorea leprosula </i>in <i>T. cacao</i>
DOI: 10.6084/m9.figshare.16306179.v1
title: Supplementary Data 2

description: Supplementary Data 2 for <i>Communications Biology</i> manuscript entitled: The genome of a dipterocarp <i>Shorea leprosula</i> highlights the ecological relevance of drought in aseasonal tropical rainforests.<br>Supplementary Data 2: Dipterocarps phylogenetic dating for 204 orthologous group with cleaned alignments
DOI: 10.6084/m9.figshare.14995314.v10
title: Effect of behavioural sampling methods on local and global social network metrics: A case-study of three macaque species

description: Data set and R-codes
DOI: 10.6084/m9.figshare.14995314.v9
title: Effect of behavioural sampling methods on local and global social network metrics: A case-study of three macaque species

description: Data set and R-codes
DOI: 10.6084/m9.figshare.13108865.v2
title: Single-cell DNA and RNA sequencing reveals the dynamics of intra-tumor heterogeneity in a colorectal cancer model

description: Single Cell Exome Bulk T2<br>Data List:https://figshare.com/articles/dataset/Single_Cell/14518056<br>
DOI: 10.6084/m9.figshare.13108865.v1
title: ExomeBulkT2

description: Single Cell Exome
DOI: 10.6084/m9.figshare.13117628.v2
title: Single-cell DNA and RNA sequencing reveals the dynamics of intra-tumor heterogeneity in a colorectal cancer model

description: Single Cell Exome Bulk T3<br>Data List:https://figshare.com/articles/dataset/Single_Cell/14518056<br>
DOI: 10.6084/m9.figshare.13117628.v1
title: ExomeBulkT3

description: Single Cell Exome
DOI: 10.6084/m9.figshare.14995314.v14
title: Effect of behavioural sampling methods on local and global social network metrics: A case-study of three macaque species

description: Data set and R-codes
DOI: 10.6084/m9.figshare.14995314.v13
title: Effect of behavioural sampling methods on local and global social network metrics: A case-study of three macaque species

description: Data set and R-codes
DOI: 10.6084/m9.figshare.14515554.v1
title: Denitrification architecture in Chloroflexi

description: Amino acid sequence files, domain/protein alignments, and maximum-likelihood treefiles used to examine the evolution of nitrite reductase and nitric oxide reductase, especially among members of Phylum Chloroflexi.
DOI: 10.6084/m9.figshare.3761562.v1963
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.3761562.v1962
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.16458543.v1
title: 2015-03-13 09-45 Lake Rotoehu

description: A CTD cast on Lake Rotoehu<br><br><b>Quality control:</b> Calibration; Model; Sensor height (m)<br><br><b>Variables:</b> Chlorophyll Fluorescence; Conductivity; Dissolved Oxygen Concentration; Dissolved Oxygen Saturation; Photosynthetically Active Radiation; Water Temperature<br><br><b>Start date:</b> 2015-03-13<br><br><b>End date:</b> 2015-03-13<br><br><b>Lake:</b> Lake Rotoehu<br><br><b>Region:</b> Bay of Plenty<br><br>This dataset was originally hosted in the LERNZdb freshwater data repository that was developed as part of the Lake Ecosystem Restoration New Zealand (LERNZ) project run by the Environmental Research Institute at the University of Waikato, New Zealand. <br><br>In retrieving LERNZdb material you agree that you rely on the data at your own risk; the University of Waikato offers no warranty or representation that the data is fit for any particular purpose, or free from defects, and will not be liable for any losses or damages whatsoever including any indirect, special, incidental or consequential damages incurred by you arising out of the use of the database or in reliance on the data retrieved. You agree that data is not of a kind ordinarily supplied for personal or domestic purposes, and that the Consumer Guarantees Act 1993 does not apply.
DOI: 10.6084/m9.figshare.16458558.v1
title: 2015-04-17 10-57 Lake Rotoehu

description: A CTD cast on Lake Rotoehu<br><br><b>Quality control:</b> Calibration; Model; Sensor height (m)<br><br><b>Variables:</b> Beam Attenuation; Beam Transmission; Chlorophyll Fluorescence; Conductivity; Dissolved Oxygen Concentration; Dissolved Oxygen Saturation; Photosynthetically Active Radiation; Specific Conductance; Water Temperature<br><br><b>Start date:</b> 2015-04-17<br><br><b>End date:</b> 2015-04-17<br><br><b>Lake:</b> Lake Rotoehu<br><br><b>Region:</b> Bay of Plenty<br><br>This dataset was originally hosted in the LERNZdb freshwater data repository that was developed as part of the Lake Ecosystem Restoration New Zealand (LERNZ) project run by the Environmental Research Institute at the University of Waikato, New Zealand. <br><br>In retrieving LERNZdb material you agree that you rely on the data at your own risk; the University of Waikato offers no warranty or representation that the data is fit for any particular purpose, or free from defects, and will not be liable for any losses or damages whatsoever including any indirect, special, incidental or consequential damages incurred by you arising out of the use of the database or in reliance on the data retrieved. You agree that data is not of a kind ordinarily supplied for personal or domestic purposes, and that the Consumer Guarantees Act 1993 does not apply.
DOI: 10.6084/m9.figshare.16458564.v1
title: 2015-05-15 10-07 Lake Rotoehu

description: A CTD cast on Lake Rotoehu<br><br><b>Quality control:</b> Calibration; Model; Sensor height (m)<br><br><b>Variables:</b> Conductivity; Dissolved Oxygen Concentration; Dissolved Oxygen Saturation; Water Temperature<br><br><b>Start date:</b> 2015-05-15<br><br><b>End date:</b> 2015-05-15<br><br><b>Lake:</b> Lake Rotoehu<br><br><b>Region:</b> Bay of Plenty<br><br>This dataset was originally hosted in the LERNZdb freshwater data repository that was developed as part of the Lake Ecosystem Restoration New Zealand (LERNZ) project run by the Environmental Research Institute at the University of Waikato, New Zealand. <br><br>In retrieving LERNZdb material you agree that you rely on the data at your own risk; the University of Waikato offers no warranty or representation that the data is fit for any particular purpose, or free from defects, and will not be liable for any losses or damages whatsoever including any indirect, special, incidental or consequential damages incurred by you arising out of the use of the database or in reliance on the data retrieved. You agree that data is not of a kind ordinarily supplied for personal or domestic purposes, and that the Consumer Guarantees Act 1993 does not apply.
DOI: 10.6084/m9.figshare.16458567.v1
title: 2015-02-11 10-54 Lake Rotoehu

description: A CTD cast on Lake Rotoehu<br><br><b>Quality control:</b> Calibration; Model; Sensor height (m)<br><br><b>Variables:</b> Beam Attenuation; Beam Transmission; Chlorophyll Fluorescence; Conductivity; Dissolved Oxygen Concentration; Dissolved Oxygen Saturation; Photosynthetically Active Radiation; Specific Conductance; Water Temperature<br><br><b>Start date:</b> 2015-02-11<br><br><b>End date:</b> 2015-02-11<br><br><b>Lake:</b> Lake Rotoehu<br><br><b>Region:</b> Bay of Plenty<br><br>This dataset was originally hosted in the LERNZdb freshwater data repository that was developed as part of the Lake Ecosystem Restoration New Zealand (LERNZ) project run by the Environmental Research Institute at the University of Waikato, New Zealand. <br><br>In retrieving LERNZdb material you agree that you rely on the data at your own risk; the University of Waikato offers no warranty or representation that the data is fit for any particular purpose, or free from defects, and will not be liable for any losses or damages whatsoever including any indirect, special, incidental or consequential damages incurred by you arising out of the use of the database or in reliance on the data retrieved. You agree that data is not of a kind ordinarily supplied for personal or domestic purposes, and that the Consumer Guarantees Act 1993 does not apply.