cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20153639.v1
title: Supplementary Material for: Statin Therapy for Preventing Recurrent Stroke in Patients with Ischemic Stroke: A Systematic Review and Meta-analysis of Randomised Controlled Trials and Observational Cohort Studies

description: Introduction Statins are effective in preventing vascular disease and are widely recommended and used for the secondary prevention of ischemic stroke. However, there is concern from trials that statins might increase the risk of hemorrhagic stroke, partially reducing their benefit. We sought to systematically review the latest evidence on this question. Methods Four electronic databases were searched to identify published randomised controlled trials (RCTs) and observational cohort studies (search date December 2020). Two independent reviewers carried out the eligibility assessment based on predefined inclusion criteria. We examined the outcomes of recurrent stroke (after ischemic stroke) of any type, and separately recurrent ischemic stroke and recurrent hemorrhagic stroke. RCTs and observational cohort studies were meta-analysed separately. Odds ratios (OR) was used to assess the effect of statin therapy. Meta-analysis was conducted using RevMan 5.4 software. Results We retrieved 559 papers in searches, of which 11 RCTs and 12 observational cohort studies were included. Both RCTs and observational studies found that statins reduced the odds of stroke of any type in those with an initial ischemic stroke (11 RCTs: OR=0.87, 95% CI [0.77,0.97]; P=0.02; 12 cohort studies: OR=0.80, 95% CI [0.66, 0.96]; P=0.02). Both RCTs and observational studies found that recurrence of ischemic stroke was reduced by statins (6 RCTs: OR=0.81, 95% CI [0.70, 0.93]; P=0.002; 3 observational studies: OR=0.67, 95% CI [0.61, 0.75]; P&lt;0.00001). Data from 7 RCTs and 8 cohort studies did not find a significant difference in hemorrhagic stroke but could not rule out a substantial increase or reduction (7 RCTs: OR=1.15, 95% CI [0.62, 2.13]; P=0.66; 8 cohort studies: OR=0.93, 95% CI [0.71, 1.21]; P=0.59). Conclusions In people who have experienced an ischemic stroke, statins reduce the risk of recurrent stroke of any type medicated through a reduction of ischemic stroke. We found no increase in the risk of hemorrhagic stroke.
DOI: 10.6084/m9.figshare.19067720
title: Morganella_Genomes

description: RAST annotated draft genomes of Morganella<br>
DOI: 10.6084/m9.figshare.19067720.v1
title: Morganella_Genomes

description: RAST annotated draft genomes of Morganella<br>
DOI: 10.6084/m9.figshare.14160980
title: 16S_0_Input_Data

description: Pathometagenomics Data
DOI: 10.6084/m9.figshare.14160980.v1
title: 16S_0_Input_Data

description: Pathometagenomics Data
DOI: 10.6084/m9.figshare.18515279
title: 04_Microbiota_Analysis

description: 16S rRNA analysis
DOI: 10.6084/m9.figshare.18515276
title: 03_Meta_Data

description: 16S rRNA analysis
DOI: 10.6084/m9.figshare.18515276.v1
title: 03_Meta_Data

description: 16S rRNA analysis
DOI: 10.6084/m9.figshare.18515267
title: 02_Microbiota_Data

description: 16S rRNA analysis
DOI: 10.6084/m9.figshare.18515264
title: 01_Processing_Commands_and_Logs

description: 16S rRNA analysis
DOI: 10.6084/m9.figshare.20390418
title: Supplementary Material for: Thoracic Ultrasound Strain Elastosonography as a Noninvasive Biomarker of Chronic Obstructive Pulmonary Disease-Associated Lung Injury: A Feasibility Study

description: <b><i>Background:</i></b> Transthoracic strain elastosonography (TSE) is being increasingly studied for estimating lung-pleura interface stiffness in pulmonary fibrosis. To date, no data exist on its application in chronic obstructive pulmonary disease (COPD). <b><i>Objectives:</i></b> The aim of this article was to describe the TSE pattern in patients with COPD and healthy subjects, either smokers or nonsmokers, and evaluate the feasibility of this technique for early detection of COPD in smokers. <b><i>Methods:</i></b> Nineteen patients with COPD, twenty-one healthy smokers, and twenty healthy nonsmokers underwent spirometry and TSE. Elastosonography was performed by one ultrasound-certified operator on 12 different scans for each participant, on right and left sides, anteriorly and posteriorly, on upper and lower lobes. For each scan, lung-pleura interface stiffness index (SI) was calculated, and the average SI on all 12 scans (SI-12) and on posterior basal scans (SI-PB) was calculated and used for comparisons among groups of participants and correlations with spirometric parameters. <b><i>Results:</i></b> Patients with lung injury (i.e., with COPD or healthy smokers) exhibited significantly increased lung-pleura interface stiffness on TSE, measured by SI-12 and SI-PB, than healthy nonsmokers (<i>p</i> &lt; 0.05). Unlike SI-12, SI-PB was able to discriminate between subjects with lung injury and healthy nonsmokers on receiver operating characteristics analysis (area under the curve 0.846, 95% confidence interval 0.730–0.926, <i>p</i> &lt; 0.001) and correlated with forced expiratory volume in the first second (<i>r</i> = −0.31, <i>p</i> = 0.018). <b><i>Conclusion:</i></b> The measurement of lung-pleura interface stiffness by TSE in posterior basal scans was able to discriminate patients with lung injury from healthy nonsmokers. The role of TSE for detecting early lung damage in COPD should be further investigated.
DOI: 10.5519/qd.p1jnca1r
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.so7n4y1z
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.ldm73r89
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.21227/yzck-za07
title: CAPGFuse

description: fused images, and the evaluation results
DOI: 10.5281/zenodo.6915133
title: PTUG

description: PTUG dataset
DOI: 10.5281/zenodo.6915132
title: PTUG

description: PTUG dataset
DOI: 10.5281/zenodo.6918363
title: Data files for JGR paper "Not all Clear Air Turbulence is Kolmogorov" by Paola Rodriguez Imazio et al.

description: The files adlr_20190911a-ST08-T2.nc<br> HALO-DB_dataset6560_release1_ST08_20190911a_BAHAMAS.ames contain the 100 Hz and 1 Hz BAHAMAS data from SOUTHTRAC research flight ST08. The grid-file wrfprs_d01.013 contains the WRF outout produced to generate Figure 5 of the paper. Andreas Dörnbrack andreas.doernbrack@dlr.de July, 28 2022
DOI: 10.5281/zenodo.6918362
title: Data files for JGR paper "Not all Clear Air Turbulence is Kolmogorov" by Paola Rodriguez Imazio et al.

description: The files adlr_20190911a-ST08-T2.nc<br> HALO-DB_dataset6560_release1_ST08_20190911a_BAHAMAS.ames contain the 100 Hz and 1 Hz BAHAMAS data from SOUTHTRAC research flight ST08. The grid-file wrfprs_d01.013 contains the WRF outout produced to generate Figure 5 of the paper. Andreas Dörnbrack andreas.doernbrack@dlr.de July, 28 2022
DOI: 10.5281/zenodo.6577860
title: SpatialSort: Supporting Datasets

description: All data introduced in the publication "SpatialSort: Probabilistic Spatially Aware Clustering and Cell Population Annotation for Spatial Omics Data" are deposited here. Forward simulated datasets, spatial Gaussian mixture datasets, semi-real datasets, and MIBI datasets are included. Code to run SpatialSort can be found at https://github.com/Roth-Lab/SpatialSort.
DOI: 10.5281/zenodo.6913873
title: La Chouffe Dataset

description: A dataset containing information from the DOAJ and Crossref used in performing research about the availability of data from one another. Contains 3 folders; one with the clean batch that was used to create the populated one in populated_output; the last one contains csv files with aggregated information about the articles. Please refer to https://doi.org/10.5281/zenodo.6491625 for more details. This is part of a project for the exam of Open Science at the University of Bologna. The dataset is available in CC0, with the exception of 20220521_la_chouffe_aggregated_data_v_0_0_1.pkl, which is available in CC BY-SA 4.0 since it combined data from the DOAJ journals.
description: Please find more information about the context here: https://github.com/open-sci/2021-2022
DOI: 10.5281/zenodo.6562908
title: La Chouffe Dataset

description: A dataset containing information from the DOAJ and Crossref used in performing research about the availability of data from one another. Contains 3 folders; one with the clean batch that was used to create the populated one in populated_output; the last one contains csv files with aggregated information about the articles. Please refer to https://doi.org/10.5281/zenodo.6491625 for more details. This is part of a project for the exam of Open Science at the University of Bologna. The dataset is available in CC0, with the exception of 20220521_la_chouffe_aggregated_data_v_0_0_1.pkl, which is available in CC BY-SA 4.0 since it combined data from the DOAJ journals.
description: Please find more information about the context here: https://github.com/open-sci/2021-2022
DOI: 10.6084/m9.figshare.20390502.v1
title: COVID Sentiment Analyses

description: This study examines the contents of official communication from United States governors’ offices related to the COVID-19 pandemic to assess patterns in communication and to determine if they correlate with trends for COVID cases and deaths.
DOI: 10.5255/ukda-sn-855860
title: ASPIRE COVID-19: Work Package 2 National Satekholders Interviews, United Kingdom, 2020-2021

description: The dataset is a collection of data undertaken by the members of Work Package 2 (WP2), of the ASPIRE COVID-19 project, funded by the Economic and Social Research Council (ESRC), as part of UK Research and Innovation’s rapid response to COVID-19 [grant number ES/V004581/1]. This dataset contains interviews (n=26) with leads (stakeholders in maternal and neonatal care) in relevant national governmental, professional, and service user organisations in the UK . The dataset contains 26 anonymised semi-structured interviews – transcribed (UK only). *Interview Schedule: A detailed interview schedule including an introduction and reiterate key information was used. Interviews were started with an opening question regarding participants views on the most important issues for maternity and neonatal care provision that have come out of COVID-19. Then participants were asked about changes/adaptations to service delivery, decision making processes, communication and implementation, impact, barriers and facilitators, and recommendations and sustainability. File description: STUDY NAME_WORK PACKAGE NUMBER_PARTICIPANT NUMBER_COUNTRY (e.g. ASPIRE_WP2_S1_UK)
DOI: 10.6084/m9.figshare.20390502
title: COVID Sentiment Analyses

description: This study examines the contents of official communication from United States governors’ offices related to the COVID-19 pandemic to assess patterns in communication and to determine if they correlate with trends for COVID cases and deaths.
DOI: 10.6084/m9.figshare.20390502.v2
title: COVID Sentiment Analyses

description: This study examines the contents of official communication from United States governors’ offices related to the COVID-19 pandemic to assess patterns in communication and to determine if they correlate with trends for COVID cases and deaths.
DOI: 10.6084/m9.figshare.20390568
title: Optimal Rain Gauge Network Design Aided by Multi-source Satellite Precipitation Observation

description: Optimized rain gauge networks minimize their input and maintenance costs, ensure the overall accuracy of precipitation data. Although information entropy-based methods of optimizing rain gauge networks have been extensively studied, little attention has been paid to their physical meanings. Satellite precipitation observations are particularly susceptible to the effects of terrain elevation, vegetation, and other topographical factors, resulting in large deviations between satellite precipitation data and ground-based precipitation data. Satellite precipitation observations are more inaccurate where the deviations change more drastically, indicating that rain gauge stations should be utilized at these locations. Based on this idea, satellite precipitation observation data were utilized to facilitate rain gauge network optimization in this study. The deviations between ground-based precipitation data and three types of satellite precipitation observation data were used for information entropy estimation. The rain gauge network in the Oujiang River Basin of China was optimally designed according to the principle of maximum joint entropy. Two optimization schemes of culling and supplementing 40 existing sites and 35 virtual sites were explored, and some interesting findings were obtained. First, the optimization and ranking of the rain gauge station network facilitated by the three types of satellite precipitation observation data showed good stability and consistency. In addition, the joint entropy of deviation was larger than that of ground-based precipitation data alone, leading to a higher degree of discrimination between rain gauge stations and enabling the use of deviation data instead of ground-based precipitation data to assist network optimization, with more reasonable and interpretable results.
DOI: 10.6084/m9.figshare.20390568.v1
title: Optimal Rain Gauge Network Design Aided by Multi-source Satellite Precipitation Observation

description: Optimized rain gauge networks minimize their input and maintenance costs, ensure the overall accuracy of precipitation data. Although information entropy-based methods of optimizing rain gauge networks have been extensively studied, little attention has been paid to their physical meanings. Satellite precipitation observations are particularly susceptible to the effects of terrain elevation, vegetation, and other topographical factors, resulting in large deviations between satellite precipitation data and ground-based precipitation data. Satellite precipitation observations are more inaccurate where the deviations change more drastically, indicating that rain gauge stations should be utilized at these locations. Based on this idea, satellite precipitation observation data were utilized to facilitate rain gauge network optimization in this study. The deviations between ground-based precipitation data and three types of satellite precipitation observation data were used for information entropy estimation. The rain gauge network in the Oujiang River Basin of China was optimally designed according to the principle of maximum joint entropy. Two optimization schemes of culling and supplementing 40 existing sites and 35 virtual sites were explored, and some interesting findings were obtained. First, the optimization and ranking of the rain gauge station network facilitated by the three types of satellite precipitation observation data showed good stability and consistency. In addition, the joint entropy of deviation was larger than that of ground-based precipitation data alone, leading to a higher degree of discrimination between rain gauge stations and enabling the use of deviation data instead of ground-based precipitation data to assist network optimization, with more reasonable and interpretable results.
DOI: 10.6084/m9.figshare.20390622
title: Optimal Rain Gauge Network Design Aided by Multi-source Satellite Precipitation Observation

description: Optimized rain gauge networks minimize their input and maintenance costs, ensure the overall accuracy of precipitation data. Although information entropy-based methods of optimizing rain gauge networks have been extensively studied, little attention has been paid to their physical meanings. Satellite precipitation observations are particularly susceptible to the effects of terrain elevation, vegetation, and other topographical factors, resulting in large deviations between satellite precipitation data and ground-based precipitation data. Satellite precipitation observations are more inaccurate where the deviations change more drastically, indicating that rain gauge stations should be utilized at these locations. Based on this idea, satellite precipitation observation data were utilized to facilitate rain gauge network optimization in this study. The deviations between ground-based precipitation data and three types of satellite precipitation observation data were used for information entropy estimation. The rain gauge network in the Oujiang River Basin of China was optimally designed according to the principle of maximum joint entropy. Two optimization schemes of culling and supplementing 40 existing sites and 35 virtual sites were explored, and some interesting findings were obtained. First, the optimization and ranking of the rain gauge station network facilitated by the three types of satellite precipitation observation data showed good stability and consistency. In addition, the joint entropy of deviation was larger than that of ground-based precipitation data alone, leading to a higher degree of discrimination between rain gauge stations and enabling the use of deviation data instead of ground-based precipitation data to assist network optimization, with more reasonable and interpretable results.
DOI: 10.6084/m9.figshare.20390622.v1
title: Optimal Rain Gauge Network Design Aided by Multi-source Satellite Precipitation Observation

description: Optimized rain gauge networks minimize their input and maintenance costs, ensure the overall accuracy of precipitation data. Although information entropy-based methods of optimizing rain gauge networks have been extensively studied, little attention has been paid to their physical meanings. Satellite precipitation observations are particularly susceptible to the effects of terrain elevation, vegetation, and other topographical factors, resulting in large deviations between satellite precipitation data and ground-based precipitation data. Satellite precipitation observations are more inaccurate where the deviations change more drastically, indicating that rain gauge stations should be utilized at these locations. Based on this idea, satellite precipitation observation data were utilized to facilitate rain gauge network optimization in this study. The deviations between ground-based precipitation data and three types of satellite precipitation observation data were used for information entropy estimation. The rain gauge network in the Oujiang River Basin of China was optimally designed according to the principle of maximum joint entropy. Two optimization schemes of culling and supplementing 40 existing sites and 35 virtual sites were explored, and some interesting findings were obtained. First, the optimization and ranking of the rain gauge station network facilitated by the three types of satellite precipitation observation data showed good stability and consistency. In addition, the joint entropy of deviation was larger than that of ground-based precipitation data alone, leading to a higher degree of discrimination between rain gauge stations and enabling the use of deviation data instead of ground-based precipitation data to assist network optimization, with more reasonable and interpretable results.
DOI: 10.15468/f6w83n
title: An Initial Checklist of Plants of the A Rocha Dakatcha Nature Reserve, Kenya, 2022

description: This dataset is a checklist of species of plants collated from 333 records of plants found in the A Rocha Dakatcha Nature Reserve (ARDNR) between 2019 and 2021.
DOI: 10.15468/27kzbg
title: An Initial Checklist of Birds of the A Rocha Dakatcha Nature Reserve and its Surrounding Area, Kenya, 2022

description: This dataset presents 182 records of birds found in the A Rocha Dakatcha Nature Reserve (ARDNR) and its adjacent area collated between 2019 and 2021.
DOI: 10.6084/m9.figshare.20390688
title: Dataset for: Fungicides have transgenerational effects on Rhopalosiphum padi but not their endosymbionts

description: Dataset for Chirgwin et al. 2022 Fungicides have transgenerational effects on Rhopalosiphum padi but not their endosymbionts.
DOI: 10.6084/m9.figshare.20390688.v1
title: Dataset for: Fungicides have transgenerational effects on Rhopalosiphum padi but not their endosymbionts

description: Dataset for Chirgwin et al. 2022 Fungicides have transgenerational effects on Rhopalosiphum padi but not their endosymbionts.
DOI: 10.5281/zenodo.6919356
title: Data along sections in the South China Sea

description: This the latest version of the data that are used for reproducing the results of the paper by Dong et al. (2022) entitled "Turbulent dissipation in the surface mixed layer of an anticyclonic mesoscale eddy in the South China Sea".
DOI: 10.13016/50vz-ys8b
title: Patchy Nightside Clouds on Ultra-hot Jupiters: General Circulation Model Simulations with Radiatively Active Cloud Tracers

description: The atmospheres of ultra-hot Jupiters have been characterized in detail through recent phase curve and low- and high-resolution emission and transmission spectroscopic observations. Previous numerical studies have analyzed the effect of the localized recombination of hydrogen on the atmospheric dynamics and heat transport of ultra-hot Jupiters, finding that hydrogen dissociation and recombination lead to a reduction in the day-to-night contrasts of ultra-hot Jupiters relative to previous expectations. In this work, we add to previous efforts by also considering the localized condensation of clouds in the atmospheres of ultra-hot Jupiters, their resulting transport by the atmospheric circulation, and the radiative feedback of clouds on the atmospheric dynamics. To do so, we include radiatively active cloud tracers into the existing MITgcm framework for simulating the atmospheric dynamics of ultra-hot Jupiters. We take cloud condensate properties appropriate for the high-temperature condensate corundum from CARMA cloud microphysics models. We conduct a suite of general circulation model (GCM) simulations with varying cloud microphysical and radiative properties, and we find that partial cloud coverage is a ubiquitous outcome of our simulations. This patchy cloud distribution is inherently set by atmospheric dynamics in addition to equilibrium cloud condensation, and causes a cloud greenhouse effect that warms the atmosphere below the cloud deck. Nightside clouds are further sequestered at depth due to a dynamically induced high-altitude thermal inversion. We post-process our GCMs with the Monte Carlo radiative transfer code gCMCRT and find that the patchy clouds on ultra-hot Jupiters do not significantly impact transmission spectra but can affect their phase-dependent emission spectra.
DOI: 10.5281/zenodo.6913383
title: Supporting data for "On the maximum dual volume of a canonical Fano polytope"

description: Supporting data for: <em>On the maximum dual volume of a canonical Fano polytope</em>, Gabriele Balletti, Alexander M. Kasprzyk, Benjamin Nill. This data supports the results of Section 6.3.
DOI: 10.5281/zenodo.6913382
title: Supporting data for "On the maximum dual volume of a canonical Fano polytope"

description: Supporting data for: <em>On the maximum dual volume of a canonical Fano polytope</em>, Gabriele Balletti, Alexander M. Kasprzyk, Benjamin Nill. This data supports the results of Section 6.3.
DOI: 10.5281/zenodo.6919450
title: Data along sections in the South China Sea

description: This is the latest version of the data that are used for reproducing the results of the paper by Dong et al. (2022) entitled "Turbulent dissipation in the surface mixed layer of an anticyclonic mesoscale eddy in the South China Sea".
DOI: 10.5281/zenodo.5795609
title: Data along sections in the South China Sea

description: This is the latest version of the data that are used for reproducing the results of the paper by Dong et al. (2022) entitled "Turbulent dissipation in the surface mixed layer of an anticyclonic mesoscale eddy in the South China Sea".
DOI: 10.21227/r6ps-dz05
title: Clustered Distribution for Consistent Hashing Algorithms

description: This dataset has been used to evaluate different consistent hashing algorithms for non-peer-to-peer contexts. Further information can be found at https://github.com/SUPSI-DTI-ISIN/java-consistent-hashing-algorithms
DOI: 10.6084/m9.figshare.20390703
title: images-2022-07-28T07_32_10.zip

description: Dataset of images for library