cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20143709.v2
title: Modifiable factors associated with pediatric asthma readmissions: a multi-center linked cohort study

description: To (a) identify rates of hospital readmission and emergency department (ED) re-presentation for asthma within a 12-month period, (b) estimate the effects of modifiable hospital, general practitioner (GP) and home environmental factors on hospital readmission, ED re-presentations and rescue oral corticosteroid use. We recruited 767 children aged 3–18 years who were admitted to 3 hospitals in Victoria, Australia between 2017 and 2018 with a validated diagnosis of asthma on chart review. Primary outcome was hospital readmission with asthma within 12 months of index admission. Secondary outcomes were ED re-presentation for asthma and rescue oral corticosteroid use. All outcomes were identified through linked administrative datasets. Their caregivers and 277 nominated GPs completed study surveys regarding the home environment and their usual asthma management practices respectively. Within 12 months of an index admission for asthma 263 (34.3%) participants were readmitted to a hospital for asthma, with participants between the ages of 3–5 years accounting for 69.2% of those readmitted. The estimated effect of GP reported guideline discordant care on the odds of readmission was OR 1.57, 95% CI 1.00–2.47, <i>p</i> = 0.05. None of the hospital or home environmental factors appeared to be associated with hospital readmissions. Hospital readmissions among Australian children with asthma are increasing, and linked datasets are important for objectively identifying the health services burden of asthma. They also confirm the important role of the GP in the management of pediatric asthma.
DOI: 10.6084/m9.figshare.20143709
title: Modifiable factors associated with pediatric asthma readmissions: a multi-center linked cohort study

description: To (a) identify rates of hospital readmission and emergency department (ED) re-presentation for asthma within a 12-month period, (b) estimate the effects of modifiable hospital, general practitioner (GP) and home environmental factors on hospital readmission, ED re-presentations and rescue oral corticosteroid use. We recruited 767 children aged 3–18 years who were admitted to 3 hospitals in Victoria, Australia between 2017 and 2018 with a validated diagnosis of asthma on chart review. Primary outcome was hospital readmission with asthma within 12 months of index admission. Secondary outcomes were ED re-presentation for asthma and rescue oral corticosteroid use. All outcomes were identified through linked administrative datasets. Their caregivers and 277 nominated GPs completed study surveys regarding the home environment and their usual asthma management practices respectively. Within 12 months of an index admission for asthma 263 (34.3%) participants were readmitted to a hospital for asthma, with participants between the ages of 3–5 years accounting for 69.2% of those readmitted. The estimated effect of GP reported guideline discordant care on the odds of readmission was OR 1.57, 95% CI 1.00–2.47, <i>p</i> = 0.05. None of the hospital or home environmental factors appeared to be associated with hospital readmissions. Hospital readmissions among Australian children with asthma are increasing, and linked datasets are important for objectively identifying the health services burden of asthma. They also confirm the important role of the GP in the management of pediatric asthma.
DOI: 10.6084/m9.figshare.20265909
title: Trends in seasonal pollen and asthma-related morbidity among adults and children in a U.S. high-density urban center, 2001-2020

description: To analyze the long-term trends in pollen counts and asthma-related emergency department visits (AREDV) in adult and pediatric populations in the Bronx. Daily values of adult and pediatric AREDV were retrospectively obtained from three major Bronx hospitals using ICD-10 codes and pollen counts were obtained from the Armonk station from 2001–2020. Wilcoxon Ranked Sum was applied to compare median values, while Spearman correlation was employed to examine the association between these variables, for both decades and each season. The median value of pediatric AREDV increased by 200% from the 1st to 2nd decade (<i>p</i> &lt; 0.001) and AREDV peak shifted from predominantly the spring season in the 1st decade to the fall and winter seasons in the 2nd decade. Seasonal patterns were consistent over 20 years with summer AREDV lower than all other seasons (9 vs. 17 per day) (<i>p</i> &lt; 0.001). Spring tree pollen peaks were correlated with AREDV peaks (rho = 0.34) (<i>p</i> &lt; 0.001). Tree pollen exceeding 100 grains/m<sup>3</sup> corresponded to a median of 19.0 AREDVs while all other tree pollen (0 − 99 grains/m<sup>3</sup>) corresponded to a median of 15.0 AREDVs (<i>p</i> &lt; 0.001). AREDVs sharply declined in 2020, coinciding with the emergence of COVID-19. Pollen and AREDVs peak earlier in the spring and are more strongly interconnected, while asthma rates among children are rapidly rising, particularly in the fall and winter. These findings can advise targeted awareness campaigns for better management of asthma related morbidity.
DOI: 10.6084/m9.figshare.20265909.v1
title: Trends in seasonal pollen and asthma-related morbidity among adults and children in a U.S. high-density urban center, 2001-2020

description: To analyze the long-term trends in pollen counts and asthma-related emergency department visits (AREDV) in adult and pediatric populations in the Bronx. Daily values of adult and pediatric AREDV were retrospectively obtained from three major Bronx hospitals using ICD-10 codes and pollen counts were obtained from the Armonk station from 2001–2020. Wilcoxon Ranked Sum was applied to compare median values, while Spearman correlation was employed to examine the association between these variables, for both decades and each season. The median value of pediatric AREDV increased by 200% from the 1st to 2nd decade (<i>p</i> &lt; 0.001) and AREDV peak shifted from predominantly the spring season in the 1st decade to the fall and winter seasons in the 2nd decade. Seasonal patterns were consistent over 20 years with summer AREDV lower than all other seasons (9 vs. 17 per day) (<i>p</i> &lt; 0.001). Spring tree pollen peaks were correlated with AREDV peaks (rho = 0.34) (<i>p</i> &lt; 0.001). Tree pollen exceeding 100 grains/m<sup>3</sup> corresponded to a median of 19.0 AREDVs while all other tree pollen (0 − 99 grains/m<sup>3</sup>) corresponded to a median of 15.0 AREDVs (<i>p</i> &lt; 0.001). AREDVs sharply declined in 2020, coinciding with the emergence of COVID-19. Pollen and AREDVs peak earlier in the spring and are more strongly interconnected, while asthma rates among children are rapidly rising, particularly in the fall and winter. These findings can advise targeted awareness campaigns for better management of asthma related morbidity.
DOI: 10.6084/m9.figshare.20369100
title: Physical activity levels in asthma: relationship with disease severity, body mass index and novel accelerometer-derived metrics

description: Patients with asthma may feel limited in physical activity (PA). Reduced PA has been demonstrated in asthmatics versus healthy controls, and increasing PA associated with improved asthma outcomes. Obesity is commonly found with difficult-to-control asthma and worsens outcomes. We compared PA levels in participants with difficult-to-control asthma and elevated body mass index (BMI) (DOW group) and two mild-moderate asthma groups: one with BMI &lt;25 kg/m<sup>2</sup> (MHW) and one with BMI ≥25 (MOW). This cross-sectional study used 7-day recordings from wrist-worn accelerometers to compare PA between groups. Inactive time, light (LPA), moderate-vigorous PA (MVPA) were measured, along with two novel metrics: intensity gradient (IG) reflecting PA intensity, and average acceleration (AA) reflecting PA volume. PA parameters were compared using ANOVA or Kruskall-Wallis testing. Correlation and linear regression analyses explored associations between PA parameters and asthma outcomes. As AA was the PA parameter correlated most closely with asthma-related outcomes, an exploratory analysis compared outcomes in highest and lowest AA quartiles. 75 participants were recruited; 57 accelerometer readings were valid and included in analysis. Inactive time was significantly higher (<i>p</i> &lt; 0.001), and LPA (<i>p</i> &lt; 0.007), MVPA (<i>p</i> &lt; 0.001), IG (<i>p</i> &lt; 0.001) and AA (<i>p</i> &lt; 0.001) all significantly lower in DOW versus MHW and MOW groups, even after adjusting for age and BMI. Quartiles based on AA had significantly different asthma profiles. Overweight/obese participants with difficult-to-control asthma performed less PA, and activity of reduced intensity and volume. Increased AA is associated with improvement in several asthma-related outcomes. Increased PA should be recommended to relevant patients.
DOI: 10.6084/m9.figshare.20369100.v2
title: Physical activity levels in asthma: relationship with disease severity, body mass index and novel accelerometer-derived metrics

description: Patients with asthma may feel limited in physical activity (PA). Reduced PA has been demonstrated in asthmatics versus healthy controls, and increasing PA associated with improved asthma outcomes. Obesity is commonly found with difficult-to-control asthma and worsens outcomes. We compared PA levels in participants with difficult-to-control asthma and elevated body mass index (BMI) (DOW group) and two mild-moderate asthma groups: one with BMI &lt;25 kg/m<sup>2</sup> (MHW) and one with BMI ≥25 (MOW). This cross-sectional study used 7-day recordings from wrist-worn accelerometers to compare PA between groups. Inactive time, light (LPA), moderate-vigorous PA (MVPA) were measured, along with two novel metrics: intensity gradient (IG) reflecting PA intensity, and average acceleration (AA) reflecting PA volume. PA parameters were compared using ANOVA or Kruskall-Wallis testing. Correlation and linear regression analyses explored associations between PA parameters and asthma outcomes. As AA was the PA parameter correlated most closely with asthma-related outcomes, an exploratory analysis compared outcomes in highest and lowest AA quartiles. 75 participants were recruited; 57 accelerometer readings were valid and included in analysis. Inactive time was significantly higher (<i>p</i> &lt; 0.001), and LPA (<i>p</i> &lt; 0.007), MVPA (<i>p</i> &lt; 0.001), IG (<i>p</i> &lt; 0.001) and AA (<i>p</i> &lt; 0.001) all significantly lower in DOW versus MHW and MOW groups, even after adjusting for age and BMI. Quartiles based on AA had significantly different asthma profiles. Overweight/obese participants with difficult-to-control asthma performed less PA, and activity of reduced intensity and volume. Increased AA is associated with improvement in several asthma-related outcomes. Increased PA should be recommended to relevant patients.
DOI: 10.5281/zenodo.7767067
title: Shanghai zhizao changshang gailan 上海製造廠商概覽 (A Compendium of Shanghai Manufacturing Firms) dataset

description: The 上海製造廠商概覽 dataset contains the data extracted from the survey of industrial establishments in Shanghai published in 1947 by Lianhe zhengxinsuo 聯合徵信所. The spreadsheet contains the original data ("Data-Main" tab), the metadata ("Metadata" tb) and a series of pre-calculated dataset based on the main data. The dataset was used as the basis for the papers published by Christian Henriot: 1. “The impact of war on Shanghai’s industrial structure: A GIS-based analysis of the Shanghai industrial surveys (1935-1940)” (with Isabelle Durand), <em>Annals of GIS</em>, Vol. 18, no. 1, 2012, 45-55 2. “Regeneration and Mobility: The Spatial Dynamics of Industries in Wartime Shanghai”, <em>Journal of historical geography</em>, vol. 38, no. 2, 2012, pp. 167-180
DOI: 10.5281/zenodo.7767066
title: Shanghai zhizao changshang gailan 上海製造廠商概覽 (A Compendium of Shanghai Manufacturing Firms) dataset

description: The 上海製造廠商概覽 dataset contains the data extracted from the survey of industrial establishments in Shanghai published in 1947 by Lianhe zhengxinsuo 聯合徵信所. The spreadsheet contains the original data ("Data-Main" tab), the metadata ("Metadata" tb) and a series of pre-calculated dataset based on the main data. The dataset was used as the basis for the papers published by Christian Henriot: 1. “The impact of war on Shanghai’s industrial structure: A GIS-based analysis of the Shanghai industrial surveys (1935-1940)” (with Isabelle Durand), <em>Annals of GIS</em>, Vol. 18, no. 1, 2012, 45-55 2. “Regeneration and Mobility: The Spatial Dynamics of Industries in Wartime Shanghai”, <em>Journal of historical geography</em>, vol. 38, no. 2, 2012, pp. 167-180
DOI: 10.34740/kaggle/dsv/5227460
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.25375/uct.22309357
title: Characterisation of dust-sized coal particulates: Full physicochemical, mineralogical, and textural dataset extracted from QEMSCAN analysis

description: This dataset composes 10 excel sheets which demonstrate the different information extracted from the QEMSCAN analysis of 17 different coal particulate samples. <br> Sheet 1 contains the data validation information of each scanned sample. This report consists of the mineral and element distributions from the QEMSCAN, XRD and XRF analyses. Sheet 2 reports the precision on the mineral abundance values on the QEMSCAN data in sheet 1. Sheet 3 contains the particle size distribution information (based on equivalent circular diameter). Sheet 4 contains information on the composition of particles based on their size fraction. Sheet 5 represents the liberation data on the main minerals: clays, quartz, and pyrite. Sheet 6 shows the calculations used to determine the confidence limits associated with the liberation data reported in sheet 5. Sheet 7 reports the liberation and association data. This data compares the fraction of liberated grains to unliberated composite particles containing either quartz, clays, or pyrite and further distinguishes the compositional association between minerals in this unliberated fraction. Sheet 8 summarises the information extracted on particle roughness. Sheet 9 summaries the data on the elemental distribution of iron, calcium and silicon. Sheet 10 summaries the distribution of particle shapes amongst the samples.
DOI: 10.25375/uct.22309357.v1
title: Characterisation of dust-sized coal particulates: Full physicochemical, mineralogical, and textural dataset extracted from QEMSCAN analysis

description: This dataset composes 10 excel sheets which demonstrate the different information extracted from the QEMSCAN analysis of 17 different coal particulate samples. <br> Sheet 1 contains the data validation information of each scanned sample. This report consists of the mineral and element distributions from the QEMSCAN, XRD and XRF analyses. Sheet 2 reports the precision on the mineral abundance values on the QEMSCAN data in sheet 1. Sheet 3 contains the particle size distribution information (based on equivalent circular diameter). Sheet 4 contains information on the composition of particles based on their size fraction. Sheet 5 represents the liberation data on the main minerals: clays, quartz, and pyrite. Sheet 6 shows the calculations used to determine the confidence limits associated with the liberation data reported in sheet 5. Sheet 7 reports the liberation and association data. This data compares the fraction of liberated grains to unliberated composite particles containing either quartz, clays, or pyrite and further distinguishes the compositional association between minerals in this unliberated fraction. Sheet 8 summarises the information extracted on particle roughness. Sheet 9 summaries the data on the elemental distribution of iron, calcium and silicon. Sheet 10 summaries the distribution of particle shapes amongst the samples.
DOI: 10.25387/g3.22179970
title: Supplemental Material for McConaughy et al., 2023

description: Genotype data for the two recombinant inbred line populations from Song Q, Jenkins J, Jia G, Hyten DL, Pantalone V, Jackson SA, Schmutz J, Cregan PB. 2016. Construction of high resolution genetic linkage maps to improve the soybean genome sequence assembly Glyma1.01. <em>Bmc Genomics</em> <strong>17</strong>, 33.
DOI: 10.25387/g3.22179970.v1
title: Supplemental Material for McConaughy et al., 2023

description: Genotype data for the two recombinant inbred line populations from Song Q, Jenkins J, Jia G, Hyten DL, Pantalone V, Jackson SA, Schmutz J, Cregan PB. 2016. Construction of high resolution genetic linkage maps to improve the soybean genome sequence assembly Glyma1.01. <em>Bmc Genomics</em> <strong>17</strong>, 33.
DOI: 10.5281/zenodo.7758379
title: Seasonally Varying Vegetation Impacts on Surface Fluxes (VegFlux)

description: VegFlux introduced observationally based, seasonal variations in vegetation and bare-soil fractions into the Met Office Unified Model (UM) and quantify impacts on dust emission and moist processes, allowing improvement of climate projections for Africa. In the zipped folder (VegetFlux_data.tar.gz) uploaded here, the data is grouped into five folders containing each one of the following parameters: temperature (tewnt15m), precipitation (tewnpre), latent heat (tewnlhf), sensible heat (tewnshf) and vegetation fraction (vegfrac). In each folder, we have two types of simulation, one whose file names begin with tewnfa and the other whose file names begin with tewnha. The one begining with tewnfa is the simulation using fix vegetation fraction in the unified model (UM) and the tewnha using varying vegetation fraction. The timestep is 12 hours meaning two measures per day (00h and 12h) during five months (may to september).
DOI: 10.5281/zenodo.7758378
title: Seasonally Varying Vegetation Impacts on Surface Fluxes (VegFlux)

description: VegFlux introduced observationally based, seasonal variations in vegetation and bare-soil fractions into the Met Office Unified Model (UM) and quantify impacts on dust emission and moist processes, allowing improvement of climate projections for Africa. In the zipped folder (VegetFlux_data.tar.gz) uploaded here, the data is grouped into five folders containing each one of the following parameters: temperature (tewnt15m), precipitation (tewnpre), latent heat (tewnlhf), sensible heat (tewnshf) and vegetation fraction (vegfrac). In each folder, we have two types of simulation, one whose file names begin with tewnfa and the other whose file names begin with tewnha. The one begining with tewnfa is the simulation using fix vegetation fraction in the unified model (UM) and the tewnha using varying vegetation fraction. The timestep is 12 hours meaning two measures per day (00h and 12h) during five months (may to september).
DOI: 10.25345/c51n7xx3r
title: MassIVE MSV000091543 - different ipomea species nectar metabolomics data analysis final
title: different ipomea species nectar metabolomics data analysis, tamilnadu, madurai
DOI: 10.6084/m9.figshare.21196123
title: Noise Pollution: A Multi-Step Approach to Assessing the Consequences of (Not) Validating Search Terms on Automated Content Analyses

description: Advances in analytical methodologies and an avalanche of digitized data have opened new avenues for (digital) journalism research—and with it, new challenges. One of these challenges concerns the sampling and evaluation of data using (non-validated) search terms in combination with automated content analyses. This challenge has largely been neglected by research, which is surprising, considering that noise slipping in during the process of data collection can generate great methodological concerns. To address this gap, we first offer a systematic interdisciplinary literature review, revealing that the validation of search terms is far from acknowledged as a required standard procedure, both in and beyond journalism research. Second, we assess the consequences of validating search terms, using a multi-step approach and investigating common research topics from the field of (digital) journalism research. Our findings show that careless application of non-validated search terms has its pitfalls: while scattershot search terms can make sense in initial data exploration, final inferences based on insufficiently validated search terms are at higher risk of being obscured by noise. Consequently, we provide a step-by-step recommendation for developing and validating search terms.
DOI: 10.6084/m9.figshare.22332133
title: Supporting Information: Habitat heterogeneity buffers the effects of environmental change on offspring fitness in an umbrella species

description: Supplemental Material for: Habitat heterogeneity buffers the effects of environmental change on offspring fitness in an umbrella species
DOI: 10.6084/m9.figshare.22332133.v1
title: Appendix 1_Tables_Switching.xlsx

description: Appendix 1: Ranking of habitat switching models.
DOI: 10.6084/m9.figshare.21232076
title: Data_S15_Tsengetal_composite_tree_samples&subsamples.zip

description: Data S15 suppelmentary material for Tseng et al. A switch in jaw form-function coupling during the evolution of mammals. Philosophical Transactions of the Royal Society B.
DOI: 10.6084/m9.figshare.21232076.v1
title: Data_S15_Tsengetal_composite_tree_samples&subsamples.zip

description: Data S15 suppelmentary material for Tseng et al. A switch in jaw form-function coupling during the evolution of mammals. Philosophical Transactions of the Royal Society B.
DOI: 10.7281/t1057cvh/4iywut
title: Fig2.zip

description: SigmaPlot file with data from which Fig. 2A and B were produced: Interactions of single colloids with an inhomogeneous AC electric field in a 30 μm parallel electrode gap. See figure caption for more details.
DOI: 10.7281/t1057cvh/bvsvud
title: Fig1.zip

description: Parallel and quadrupolar gold thin film electrodes used for all experiments printed in the referenced article. Source image of parallel electrode (Fig1A), video source file of optical microscopy of a single particle (Fig1C). Contour plot with data producing Fig.1E and 1F, (Sigmaplot .JNB format) of AC electric field at high frequency in each of the electrode devices. See figure caption for more details.
DOI: 10.7281/t1057cvh/psm3i3
title: Fig3.zip

description: Video microscopy source files showing equilibrated colloidal ensemble configurations within parallel electrodes of: (Fig. 3A) silica colloids, (Fig.3B) gold colloids (image only), and (Fig.3C) polystyrene colloids. See figure caption for more details.
DOI: 10.7281/t1057cvh/a7lrsw
title: All_figures-PowerPoint.zip

description: Images of all figures referenced, in PowerPoint and PDF format.
DOI: 10.7281/t1057cvh/g9tsbl
title: Fig6.zip

description: Fig.6F&L.JNB SigmaPlot file and data for graphs in Fig. 6F and L, MATLAB Feedback control code used to obtain results in Fig. 6., and AVI source video for Figures 6A-E and 6G-K. See figure caption for more details.
DOI: 10.7281/t1057cvh/h9afwl
title: Fig5.zip

description: Source video for images for Fig 5 for four target crystal sizes, and MATLAB code used to create video. (The MATLAB code includes documentation for ensemble size controller and TIFF to AVI conversion.) See figure caption for more details.
DOI: 10.7281/t1057cvh/ijtmjz
title: Fig4.zip

description: Source images and video of confocal images and Monte Carlo simulation renderings of the compression of silica colloids in a quadrupole electrode producing a three dimensional hemisphere of hexagonally close-packed particles. See figure caption for more details.
DOI: 10.7281/t1057cvh/obmdwk
title: Manuscript.zip

description: Preprint and Supporting Material manuscripts for the publication associated with this collection: Edwards, Tara D. & Bevan, Michael A. Controlling Colloidal Particles with Electric Fields. Langmuir (Web: March 2014).
DOI: 10.6084/m9.figshare.22332163.v1
title: R.Code and Raw Data.zip

description: Raw Data and R.Code
DOI: 10.6084/m9.figshare.22332163
title: R.Code and Raw Data.zip

description: Raw Data and R.Code