cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19322489
title: Supplementary Material for: Utility of CHA<sub>2</sub>DS<sub>2</sub>-VASc Score to Predict Mid-Term Clinical Outcomes in Hemodialysis Patients

description: <b><i>Background:</i></b> The CHA<sub>2</sub>DS<sub>2</sub>-VASc score has been widely used to predict stroke in patients with atrial fibrillation (AF). Recently, it was reported that the CHA<sub>2</sub>DS<sub>2</sub>-VASc score helps predict cardiovascular disease (CVD) or all-cause mortality in patients with or without AF. However, few reports have examined the association between this score and mortality in hemodialysis (HD) patients. <b><i>Methods:</i></b> We analyzed 557 consecutive patients who initiated HD at our facilities between February 2005 and October 2017. The CHA<sub>2</sub>DS<sub>2</sub>-VASc score was calculated at the time of initiation of HD. Patients were then categorized into three groups according to their CHA<sub>2</sub>DS<sub>2</sub>-VASc scores: 0–1 (low), 2–3 (intermediate), and 4–9 (high). Multivariate Cox proportional hazards analysis was used to assess independent risk factors for 3-year all-cause mortality. <b><i>Results:</i></b> During the 3-year follow-up period, 153 (27.5%) patients died (cardiovascular death: <i>n</i> = 88). According to multivariate analysis, serum albumin (hazard ratio [HR] 0.60, 95% confidence interval [CI] 0.43–0.85, <i>p</i> = 0.003), creatinine (HR 0.91, 95% CI 0.84–0.99, <i>p</i> = 0.049), and CHA<sub>2</sub>DS<sub>2</sub>-VASc score (HR 1.33, 95% CI 1.20–1.46, <i>p</i> &lt; 0.001) were associated with 3-year all-cause mortality. Compared with patients in the low CHA<sub>2</sub>DS<sub>2</sub>-VASc score group, those in the intermediate- and high-score groups had a higher risk for all-cause and CVD mortality (all-cause mortality: HR 1.77, 95% CI 1.23–2.55, <i>p</i> = 0.002 and HR 2.94, 95% CI 1.90–4.53, <i>p</i> &lt; 0.001, respectively; CVD mortality: HR 1.82, 95% CI 1.27–2.59, <i>p</i> = 0.001 and HR 2.85, 95% CI 1.88–4.31, <i>p</i> &lt; 0.001, respectively). <b><i>Conclusion:</i></b> The CHA<sub>2</sub>DS<sub>2</sub>-VASc score is a valuable predictor of 3-year all-cause and CVD mortality in incident HD patients.
DOI: 10.6084/m9.figshare.19322489.v1
title: Supplementary Material for: Utility of CHA<sub>2</sub>DS<sub>2</sub>-VASc Score to Predict Mid-Term Clinical Outcomes in Hemodialysis Patients

description: <b><i>Background:</i></b> The CHA<sub>2</sub>DS<sub>2</sub>-VASc score has been widely used to predict stroke in patients with atrial fibrillation (AF). Recently, it was reported that the CHA<sub>2</sub>DS<sub>2</sub>-VASc score helps predict cardiovascular disease (CVD) or all-cause mortality in patients with or without AF. However, few reports have examined the association between this score and mortality in hemodialysis (HD) patients. <b><i>Methods:</i></b> We analyzed 557 consecutive patients who initiated HD at our facilities between February 2005 and October 2017. The CHA<sub>2</sub>DS<sub>2</sub>-VASc score was calculated at the time of initiation of HD. Patients were then categorized into three groups according to their CHA<sub>2</sub>DS<sub>2</sub>-VASc scores: 0–1 (low), 2–3 (intermediate), and 4–9 (high). Multivariate Cox proportional hazards analysis was used to assess independent risk factors for 3-year all-cause mortality. <b><i>Results:</i></b> During the 3-year follow-up period, 153 (27.5%) patients died (cardiovascular death: <i>n</i> = 88). According to multivariate analysis, serum albumin (hazard ratio [HR] 0.60, 95% confidence interval [CI] 0.43–0.85, <i>p</i> = 0.003), creatinine (HR 0.91, 95% CI 0.84–0.99, <i>p</i> = 0.049), and CHA<sub>2</sub>DS<sub>2</sub>-VASc score (HR 1.33, 95% CI 1.20–1.46, <i>p</i> &lt; 0.001) were associated with 3-year all-cause mortality. Compared with patients in the low CHA<sub>2</sub>DS<sub>2</sub>-VASc score group, those in the intermediate- and high-score groups had a higher risk for all-cause and CVD mortality (all-cause mortality: HR 1.77, 95% CI 1.23–2.55, <i>p</i> = 0.002 and HR 2.94, 95% CI 1.90–4.53, <i>p</i> &lt; 0.001, respectively; CVD mortality: HR 1.82, 95% CI 1.27–2.59, <i>p</i> = 0.001 and HR 2.85, 95% CI 1.88–4.31, <i>p</i> &lt; 0.001, respectively). <b><i>Conclusion:</i></b> The CHA<sub>2</sub>DS<sub>2</sub>-VASc score is a valuable predictor of 3-year all-cause and CVD mortality in incident HD patients.
DOI: 10.48370/ofd/z6ma74
title: Leotia lubrica (Scop.) Pers., 2144

description: Fungarium Macromycetes
DOI: 10.5281/zenodo.5948727
title: Supplementary Information: Effects of cryo-EM cooling on structural ensembles

description: This data set contains a pdb file with the ribosome-EF-Tu complex atoms used for analysis. The trajectories (xtc files) contain the ensembles of structures before cooling and after cooling with various cooling time spans. model3_training.zip contains the code to train and and analyse kinetic model3 as well as the rmsf quantiles obtained from MD simulations, and the temperature drop estimates used for the model.
DOI: 10.5281/zenodo.5948726
title: Supplementary Information: Effects of cryo-EM cooling on structural ensembles

description: This data set contains a pdb file with the ribosome-EF-Tu complex atoms used for analysis. The trajectories (xtc files) contain the ensembles of structures before cooling and after cooling with various cooling time spans. model3_training.zip contains the code to train and and analyse kinetic model3 as well as the rmsf quantiles obtained from MD simulations, and the temperature drop estimates used for the model.
DOI: 10.48370/ofd/r26q66
title: Lepiota aspera (Pers.: Fr) Quél., 1713

description: Fungarium Macromycetes
DOI: 10.48370/ofd/gmqcsn/s95lnq
title: m-1947.tif

description: :unav
DOI: 10.48370/ofd/gmqcsn/cxvz1h
title: 1947.S3Dm

description: :unav
DOI: 10.48370/ofd/gmqcsn
title: Wrośniaczek żelatynowaty (Cinereomyces lindbladii (Berk.) Jülich), 1947

description: Grzyby makromycetes
DOI: 10.5281/zenodo.5998538
title: Pathogen reduction data when applying high pressure processing to milk/colostrum and ready-to-eat foods

description: <strong>Introduction</strong> This dataset was built by members of the EFSA Working Group on high pressure processing (HPP) of food during the preparatory work on the BIOHAZ Scientific Opinion on the efficacy and safety of high pressure processing of food (EFSA-Q-2020-00380) (https://doi.org/10.2903/j.efsa.2022.7128). It was used to answer to the following Terms of Reference (ToR) of the mandate: ToR2. To assess the efficacy of HPP when applied to raw milk and raw colostrum from ruminants, and in particular: a. To recommend minimum requirements as regards time and pressure of the HPP, and other factors if relevant, for the control of <em>Mycobacterium</em> spp., <em>Brucella</em> spp., <em>Listeria monocytogenes</em>, <em>Salmonella</em> spp. and Shiga toxin-producing <em>Escherichia coli</em> (STEC), to achieve an equivalent efficacy to that of thermal pasteurisation. ToR3. To assess the efficacy of HPP when applied to foods known to cause human listeriosis and in particular: a. To recommend minimum requirements as regards time and pressure of the HPP, and other factors if relevant, to reduce significantly <em>L. monocytogenes</em> levels (e.g. by a certain log reduction), and assuming that the parameters influencing the growth of <em>L. monocytogenes</em> remain unchanged (e.g. shelf-life and storage conditions); b. To assess the efficacy on other relevant pathogens when applying the minimum requirements identified in a. A literature search was conducted to retrieve studies reporting on pathogen-specific parameters when treating milk/colostrum and ready-to-eat foods with HPP. A modelling approach was used to fit the derived log<sub>10</sub> reductions (logR) at specific pressure-holding time combinations. More information can be found in the Scientific Opinion. <strong>Description</strong> Two MS-Excel files contain the extracted data. One file consists of the data used for answering ToR2 and contains data on HPP inactivation of <em>Mycobacterium bovis</em>, <em>L. monocytogenes</em>, <em>Salmonella</em> spp., STEC, <em>Campylobacter</em> spp., and <em>Staphylococcus aureus</em> in milk and colostrum from ruminants. The other file was used for answering ToR3 and contains data on HPP inactivation of <em>L. monocytogenes</em>, <em>Salmonella</em> spp. and <em>E. coli</em> in three types of RTE food categories: category “cooked meat products”, category “smoked and gravad fish” and category “soft or semi-soft and fresh cheese”. Both files contain metadata related to product characteristics (e.g. the food matrix and composition), contamination characteristics (e.g. pathogen/strain used for inoculation, inoculation level, medium used for enumeration), HPP treatment characteristics (e.g. target pressure, time), and outcome (e.g. log<sub>10</sub> reduction).
description: EU; XLSX; biohaz@efsa.europa.eu
DOI: 10.5281/zenodo.5998537
title: Pathogen reduction data when applying high pressure processing to milk/colostrum and ready-to-eat foods

description: <strong>Introduction</strong> This dataset was built by members of the EFSA Working Group on high pressure processing (HPP) of food during the preparatory work on the BIOHAZ Scientific Opinion on the efficacy and safety of high pressure processing of food (EFSA-Q-2020-00380) (https://doi.org/10.2903/j.efsa.2022.7128). It was used to answer to the following Terms of Reference (ToR) of the mandate: ToR2. To assess the efficacy of HPP when applied to raw milk and raw colostrum from ruminants, and in particular: a. To recommend minimum requirements as regards time and pressure of the HPP, and other factors if relevant, for the control of <em>Mycobacterium</em> spp., <em>Brucella</em> spp., <em>Listeria monocytogenes</em>, <em>Salmonella</em> spp. and Shiga toxin-producing <em>Escherichia coli</em> (STEC), to achieve an equivalent efficacy to that of thermal pasteurisation. ToR3. To assess the efficacy of HPP when applied to foods known to cause human listeriosis and in particular: a. To recommend minimum requirements as regards time and pressure of the HPP, and other factors if relevant, to reduce significantly <em>L. monocytogenes</em> levels (e.g. by a certain log reduction), and assuming that the parameters influencing the growth of <em>L. monocytogenes</em> remain unchanged (e.g. shelf-life and storage conditions); b. To assess the efficacy on other relevant pathogens when applying the minimum requirements identified in a. A literature search was conducted to retrieve studies reporting on pathogen-specific parameters when treating milk/colostrum and ready-to-eat foods with HPP. A modelling approach was used to fit the derived log<sub>10</sub> reductions (logR) at specific pressure-holding time combinations. More information can be found in the Scientific Opinion. <strong>Description</strong> Two MS-Excel files contain the extracted data. One file consists of the data used for answering ToR2 and contains data on HPP inactivation of <em>Mycobacterium bovis</em>, <em>L. monocytogenes</em>, <em>Salmonella</em> spp., STEC, <em>Campylobacter</em> spp., and <em>Staphylococcus aureus</em> in milk and colostrum from ruminants. The other file was used for answering ToR3 and contains data on HPP inactivation of <em>L. monocytogenes</em>, <em>Salmonella</em> spp. and <em>E. coli</em> in three types of RTE food categories: category “cooked meat products”, category “smoked and gravad fish” and category “soft or semi-soft and fresh cheese”. Both files contain metadata related to product characteristics (e.g. the food matrix and composition), contamination characteristics (e.g. pathogen/strain used for inoculation, inoculation level, medium used for enumeration), HPP treatment characteristics (e.g. target pressure, time), and outcome (e.g. log<sub>10</sub> reduction).
description: EU; XLSX; biohaz@efsa.europa.eu
DOI: 10.48370/ofd/sb4mlq
title: Leptosporomyces galzinii (Bourdot) Jülich, 2453

description: Fungarium Macromycetes
DOI: 10.25625/aeofhr
title: Parental Health, Children’s Education and Unintended Consequences of State Support: Quasi-experimental evidence from KwaZulu-Natal, South Africa

description: Metadata for "Parental Health, Children’s Education and Unintended Consequences of State Support: Quasi-experimental evidence from KwaZulu-Natal, South Africa". The manuscript combined data from a household panel (ACDIS) and clinical data (ARTemis), both provided by the Africa Health Research Institute (AHRI).
DOI: 10.25625/uwfhgg
title: Mental health in Aceh, Indonesia

description: Metadata for the project "Mental health in Aceh, Indonesia". The project used primary household data collected in 2018 in Aceh, Indonesia.
DOI: 10.5281/zenodo.6334442
title: Influence of a portable air cleaner location on the exposure to exhaled contaminants in hospital rooms

description: Indoor environments with a deficient mechanical ventilation, could increase exposure to exhaled contaminants. This situation is critical in hospital environments such as hospital rooms. In this situation, a portable air cleaner system based on high efficiency air filters maybe a solution by itself or combined with mechanical ventilation systems to reduce the concentration of aerosols in hospital room environments. In this study the influence of the location of a portable air cleaner based on high efficiency air filters on the exposure to exhaled contaminants of a health worker close to a patient lying on a bed was investigated. The experimental setup consists of a hospital room (40.84 m<sup>3</sup>) with two breathing thermal manikins, BTM. One BTM was lying on the bed (patient) and the other BTM was stand up near the bed (health worker). Each BTM has its own independent breathing system with the capability of performing different breathing flows. Both BTM inhale and exhale through the mouth with a respiration frequency of 17.90 min-1 (inhalation) and 16.43 min-1 (exhalation). Both has minute volume 9.46 (l/min) and tidal volume 0.55 l. The BTM lying on a bed, simulated the source of exhaled contaminants and exhales particles sized 0.57-0.76 µm. A total air flow rate of 150 m<sup>3</sup>/h (3.67 ACH) was used in all experimental tests. The total air flow rate was generated only by the air cleaner, only by the ventilation system or using a combination of the air cleaner and the ventilation system. The concentration of particles was measured in the inhalation of the standing BTM close to bed, and in other points of the room to analyse the influence of air cleaner location on the exposure to airborne contaminants. The results suggest that the air diffusion plays an important role in the exposure to exhaled contaminants in a hospital room. In these indoor environments, low values in the exposure to exhaled contaminants can be obtained using a combination of a portable air cleaner located near the source of contaminants and the ventilation system or using only 100% air flow rate in the ventilation system.
DOI: 10.6084/m9.figshare.16757227
title: Data and code from "Associations of bird and bat species richness with temperature and remote sensing-based vegetation structure on a tropical mountain"

description: This package contains data of bird and bat species richness, climate and remote sensing-based measures of vegetation structure that have been sampled along a 3.5 km elevational gradient of near-natural and anthropogenic habitat on the southern slopes of Mt. Kilimanjaro.<br>Along with the raw data we provide R code to reproduce the analysis from the paper. For details about how to run the R code please have a look at the README file in the package. For details about the methods (e.g., field sampling or background of particular analyses) we refer to the original publication.<br>
DOI: 10.5281/zenodo.6334441
title: Influence of a portable air cleaner location on the exposure to exhaled contaminants in hospital rooms

description: Indoor environments with a deficient mechanical ventilation, could increase exposure to exhaled contaminants. This situation is critical in hospital environments such as hospital rooms. In this situation, a portable air cleaner system based on high efficiency air filters maybe a solution by itself or combined with mechanical ventilation systems to reduce the concentration of aerosols in hospital room environments. In this study the influence of the location of a portable air cleaner based on high efficiency air filters on the exposure to exhaled contaminants of a health worker close to a patient lying on a bed was investigated. The experimental setup consists of a hospital room (40.84 m<sup>3</sup>) with two breathing thermal manikins, BTM. One BTM was lying on the bed (patient) and the other BTM was stand up near the bed (health worker). Each BTM has its own independent breathing system with the capability of performing different breathing flows. Both BTM inhale and exhale through the mouth with a respiration frequency of 17.90 min-1 (inhalation) and 16.43 min-1 (exhalation). Both has minute volume 9.46 (l/min) and tidal volume 0.55 l. The BTM lying on a bed, simulated the source of exhaled contaminants and exhales particles sized 0.57-0.76 µm. A total air flow rate of 150 m<sup>3</sup>/h (3.67 ACH) was used in all experimental tests. The total air flow rate was generated only by the air cleaner, only by the ventilation system or using a combination of the air cleaner and the ventilation system. The concentration of particles was measured in the inhalation of the standing BTM close to bed, and in other points of the room to analyse the influence of air cleaner location on the exposure to airborne contaminants. The results suggest that the air diffusion plays an important role in the exposure to exhaled contaminants in a hospital room. In these indoor environments, low values in the exposure to exhaled contaminants can be obtained using a combination of a portable air cleaner located near the source of contaminants and the ventilation system or using only 100% air flow rate in the ventilation system.
DOI: 10.6084/m9.figshare.16757227.v1
title: Data and code from "Associations of bird and bat species richness with temperature and remote sensing-based vegetation structure on a tropical mountain"

description: This package contains data of bird and bat species richness, climate and remote sensing-based measures of vegetation structure that have been sampled along a 3.5 km elevational gradient of near-natural and anthropogenic habitat on the southern slopes of Mt. Kilimanjaro.<br>Along with the raw data we provide R code to reproduce the analysis from the paper. For details about how to run the R code please have a look at the README file in the package. For details about the methods (e.g., field sampling or background of particular analyses) we refer to the original publication.<br>
DOI: 10.6084/m9.figshare.19322546
title: Supplementary Material for: Change in Cardiovascular Health Metrics and Risk for Proteinuria Development: Analysis of a Nationwide Population-Based Database

description: <b><i>Introduction:</i></b> Evidence is lacking regarding the association between cardiovascular health (CVH) metrics and the risk for proteinuria. <b><i>Methods:</i></b> We performed this observational cohort study including 865,087 participants (median age, 46 years, 60.7% men) with negative proteinuria at the initial health check-up, who underwent repeated health check-ups within 4 years. Ideal CVH metrics included nonsmoking, body mass index &lt;25 kg/m<sup>2</sup>, physical activity at goal, eating breakfast, blood pressure &lt;120/80 mm Hg, fasting plasma glucose &lt;100 mg/dL, and total cholesterol &lt;200 mg/dL. The primary outcome was incident proteinuria, defined as ≥1 + on the urine dipstick test. <b><i>Results:</i></b> Participants were categorized as having low CVH metrics defined as having 0–2 ideal CVH metrics (<i>n</i> = 84,439), middle CVH metrics defined as having 3–4 ideal CVH metrics (<i>n</i> = 335,773), and high CVH metrics defined as having 5–7 ideal CVH metrics (<i>n</i> = 444,875). Compared with low CVH metrics, middle CVH metrics (odds ratio (OR): 0.61, 95% CI: 0.59–0.63) and high CVH metrics (OR: 0.45, 95% CI: 0.43–0.46) were associated with a lower risk of proteinuria. The OR of a one-point increase in the ideal number of CVH metrics was 0.83 (95% CI: 0.82–0.83). All CVH metrics components except for ideal total cholesterol were associated with a decreased risk of proteinuria. A one-point improvement in the number of ideal CVH metrics at 1 year after the initial health check-up was associated with a decreased incidence of proteinuria (OR: 0.90, 95% CI: 0.89–0.92). <b><i>Conclusion:</i></b> Not only maintaining better CVH metrics but also improving CVH metrics would prevent developing proteinuria in a general population.
DOI: 10.6084/m9.figshare.19322546.v1
title: Supplementary Material for: Change in Cardiovascular Health Metrics and Risk for Proteinuria Development: Analysis of a Nationwide Population-Based Database

description: <b><i>Introduction:</i></b> Evidence is lacking regarding the association between cardiovascular health (CVH) metrics and the risk for proteinuria. <b><i>Methods:</i></b> We performed this observational cohort study including 865,087 participants (median age, 46 years, 60.7% men) with negative proteinuria at the initial health check-up, who underwent repeated health check-ups within 4 years. Ideal CVH metrics included nonsmoking, body mass index &lt;25 kg/m<sup>2</sup>, physical activity at goal, eating breakfast, blood pressure &lt;120/80 mm Hg, fasting plasma glucose &lt;100 mg/dL, and total cholesterol &lt;200 mg/dL. The primary outcome was incident proteinuria, defined as ≥1 + on the urine dipstick test. <b><i>Results:</i></b> Participants were categorized as having low CVH metrics defined as having 0–2 ideal CVH metrics (<i>n</i> = 84,439), middle CVH metrics defined as having 3–4 ideal CVH metrics (<i>n</i> = 335,773), and high CVH metrics defined as having 5–7 ideal CVH metrics (<i>n</i> = 444,875). Compared with low CVH metrics, middle CVH metrics (odds ratio (OR): 0.61, 95% CI: 0.59–0.63) and high CVH metrics (OR: 0.45, 95% CI: 0.43–0.46) were associated with a lower risk of proteinuria. The OR of a one-point increase in the ideal number of CVH metrics was 0.83 (95% CI: 0.82–0.83). All CVH metrics components except for ideal total cholesterol were associated with a decreased risk of proteinuria. A one-point improvement in the number of ideal CVH metrics at 1 year after the initial health check-up was associated with a decreased incidence of proteinuria (OR: 0.90, 95% CI: 0.89–0.92). <b><i>Conclusion:</i></b> Not only maintaining better CVH metrics but also improving CVH metrics would prevent developing proteinuria in a general population.
DOI: 10.5258/soton/d0367
title: Dataset for Fiber Raman Laser Cladding Pumped by Pulsed Multimode Disk Laser at 1030 nm

description: Dataset for an article published at a conference proceedings, Conference on Lasers and Electro-Optics OSA Technical Digest (online) (Optica Publishing Group, 2018), paper JTh2A.109, https://doi.org/10.1364/CLEO_AT.2018.JTh2A.109 accepted and published by CLEO: Science and Innovations 2018, San Jose, California United States, 13–18 May 2018, ISBN: 978-1-943580-42-2, From the session: Poster Session III (JTh2A) A spatially gain-tailored fiber Raman laser with Ge-doped core and P-doped inner cladding generates 46 W of instantaneous power at 1084 nm with 64% slope efficiency when cladding-pumped by a 1030-nm quasi-cw multimode disk laser.
DOI: 10.48370/ofd/z1drct
title: Leucogyrophana mollusca (Fr.) Pouzar, 1439

description: Fungarium Macromycetes
DOI: 10.12751/g-node.qx9a5r
title: Neural Data: Noninvasive stimulation of the ventromedial prefrontal cortex increases rationality of human decision-making

description: Behavioral data + R-script and Neural data (Minimum-Norm-Files of MEG data).
description: IsSupplementTo: Kroker, T., Wyczesany, M., Rehbein, M.A., Roesmann, K., Wessing, I., Junghoefer, M. Noninvasive stimulation of the ventromedial prefrontal cortex increases rationality of human decision-making. under review at Nature Neuroscience(2022).