cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12026940
title: Figure 4_MosquitoCollections.xls

description: Data underlying Figure 4. <i>Wolbachia </i>infection prevalence in local <i>Aedes aegypti </i>mosquito populations, in Indriani et al (2020) <i>Gates Open Research (submitted)</i>. Number of <i>Aedes aegypti </i>collected from quasi-experimental study intervention areas and untreated control areas and screened for <i>Wolbachia </i>infection, by Kelurahan (urban village), each week since the start of deployments until September 2019. For the intervention areas, week 0 is the week in which deployment commenced (between 15 August and 18 September 2016). For the control areas, week 0 is the week in which the first deployments commenced in the intervention area (15 August 2016).
DOI: 10.6084/m9.figshare.12026943
title: Figure 2_IRtesting.xlsx

description: Data underlying Figure S1. Insecticide susceptibility of the <i>w</i>Mel <i>Ae. aegypti</i> colony and wild-type <i>Ae. aegypti</i> collected from the quasi-experimental study intervention area, in Indriani et al (2020) <i>Gates Open Research </i>(submitted). Bars show mean (st. dev.) % mortality across four replicate tests, each with 20 – 28 mosquitoes tested against each insecticide.
DOI: 10.6084/m9.figshare.12026943.v1
title: FigureS1_IRtesting.xlsx

description: Data underlying Figure S1. Insecticide susceptibility of the <i>w</i>Mel <i>Ae. aegypti</i> colony and wild-type <i>Ae. aegypti</i> collected from the quasi-experimental study intervention area, in Indriani et al (2020) <i>Gates Open Research </i>(submitted). Bars show mean (st. dev.) % mortality across four replicate tests, each with 20 – 28 mosquitoes tested against each insecticide.
DOI: 10.6084/m9.figshare.12026937
title: Figure 3_PowerPlot.xlsx

description: Data underlying Figure 3. Power estimation, in Indriani et al (2020) <i>Gates Open Research</i> (submitted). Power to detect a <i>Wolbachia</i>-associated reduction in dengue incidence using interrupted time series analysis was calculated as the proportion of significant results out of 1,000 simulations for varying post-intervention observation periods and relative risks.
DOI: 10.6084/m9.figshare.12026943.v3
title: Figure 2_IRtesting.xlsx

description: Data underlying Figure S1. Insecticide susceptibility of the <i>w</i>Mel <i>Ae. aegypti</i> colony and wild-type <i>Ae. aegypti</i> collected from the quasi-experimental study intervention area, in Indriani et al (2020) <i>Gates Open Research </i>(submitted). Bars show mean (st. dev.) % mortality across four replicate tests, each with 20 – 28 mosquitoes tested against each insecticide.
DOI: 10.6084/m9.figshare.12026943.v2
title: Figure 2_IRtesting.xlsx

description: Data underlying Figure S1. Insecticide susceptibility of the <i>w</i>Mel <i>Ae. aegypti</i> colony and wild-type <i>Ae. aegypti</i> collected from the quasi-experimental study intervention area, in Indriani et al (2020) <i>Gates Open Research </i>(submitted). Bars show mean (st. dev.) % mortality across four replicate tests, each with 20 – 28 mosquitoes tested against each insecticide.
DOI: 10.6084/m9.figshare.12026940.v2
title: Figure 4_MosquitoCollections.xls

description: Data underlying Figure 4. <i>Wolbachia </i>infection prevalence in local <i>Aedes aegypti </i>mosquito populations, in Indriani et al (2020) <i>Gates Open Research (submitted)</i>. Number of <i>Aedes aegypti </i>collected from quasi-experimental study intervention areas and untreated control areas and screened for <i>Wolbachia </i>infection, by Kelurahan (urban village), each week since the start of deployments until September 2019. For the intervention areas, week 0 is the week in which deployment commenced (between 15 August and 18 September 2016). For the control areas, week 0 is the week in which the first deployments commenced in the intervention area (15 August 2016).
DOI: 10.6084/m9.figshare.12026907
title: Table 1. Clinical data of patients studied

description: Table 1. Clinical data of patients studied<br>
DOI: 10.6084/m9.figshare.12026871
title: Ultrasensitive digital quantification of cytokines and bacteria predicts septic shock outcomes

description: <b>Quantification of pathogen and host biomarkers is essential for the diagnosis, monitoring, and treatment of infectious diseases. Here, we demonstrate sensitive and rapid quantification of bacterial load and cytokines from human biological samples to generate actionable hypotheses. Our digital assay measures IL-6 and TNF-α proteins, gram-negative (GN) and gram-positive (GP) bacterial DNA, and the antibiotic-resistance gene <i>bla</i><sub>TEM </sub>with femtomolar sensitivity. We use our method to characterize bronchoalveolar lavage fluid from patients with asthma and find elevated GN bacteria and IL-6 levels compared to healthy subjects. We then analyze plasma from patients with septic shock and find that increasing levels of IL-6 and <i>bla</i><sub>TEM</sub> are associated with mortality, while decreasing IL-6 levels are associated with recovery. Surprisingly, lower GN bacteria levels are associated with higher probability of death. Applying decision-tree analysis to our measurements, we are able to predict mortality and rate of recovery from septic shock with over 90% accuracy. </b>
DOI: 10.6084/m9.figshare.12026907.v1
title: Table 1. Clinical data of patients studied

description: Table 1. Clinical data of patients studied<br>
DOI: 10.6084/m9.figshare.12026937.v1
title: Figure 2_PowerPlot.xlsx

description: Data underlying Figure 2. Power estimation, in Indriani et al (2020) <i>Gates Open Research</i> (submitted). Power to detect a <i>Wolbachia</i>-associated reduction in dengue incidence using interrupted time series analysis was calculated as the proportion of significant results out of 1,000 simulations for varying post-intervention observation periods and relative risks.
DOI: 10.6084/m9.figshare.12026937.v3
title: Figure 3_PowerPlot.xlsx

description: Data underlying Figure 3. Power estimation, in Indriani et al (2020) <i>Gates Open Research</i> (submitted). Power to detect a <i>Wolbachia</i>-associated reduction in dengue incidence using interrupted time series analysis was calculated as the proportion of significant results out of 1,000 simulations for varying post-intervention observation periods and relative risks.
DOI: 10.6084/m9.figshare.12026937.v2
title: Figure 3_PowerPlot.xlsx

description: Data underlying Figure 2. Power estimation, in Indriani et al (2020) <i>Gates Open Research</i> (submitted). Power to detect a <i>Wolbachia</i>-associated reduction in dengue incidence using interrupted time series analysis was calculated as the proportion of significant results out of 1,000 simulations for varying post-intervention observation periods and relative risks.
DOI: 10.6084/m9.figshare.12026850
title: Video-to-Model Data Set

description: This data set belongs to the paper "Video-to-Model: Unsupervised Trace Extraction from Videos for Process Discovery and Conformance Checking in Manual Assembly", submitted on March 24, 2020, to the 18th International Conference on Business Process Management (BPM).<br>Abstract: Manual activities are often hidden deep down in discrete manufacturing processes. For the elicitation and optimization of process behavior, complete information about the execution of Manual activities are required. Thus, an approach is presented on how execution level information can be extracted from videos in manual assembly. The goal is the generation of a log that can be used in state-of-the-art process mining tools. The test bed for the system was lightweight and scalable consisting of an assembly workstation equipped with a single RGB camera recording only the hand movements of the worker from top. A neural network based real-time object classifier was trained to detect the worker’s hands. The hand detector delivers the input for an algorithm, which generates trajectories reflecting the movement paths of the hands. Those trajectories are automatically assigned to work steps using the position of material boxes on the assembly shelf as reference points and hierarchical clustering of similar behaviors with dynamic time warping. The system has been evaluated in a task-based study with ten participants in a laboratory, but under realistic conditions. The generated logs have been loaded into the process mining toolkit ProM to discover the underlying process model and to detect deviations from both, instructions and ground truth, using conformance checking. The results show that process mining delivers insights about the assembly process and the system’s precision.<br>The data set contains the generated and the annotated logs based on the video material gathered during the user study. In addition, the petri nets from the process discovery and conformance checking conducted with ProM (http://www.promtools.org) and the reference nets modeled with Yasper (http://www.yasper.org/) are provided.<br>
DOI: 10.6084/m9.figshare.12026871.v1
title: Copy of SF2d_incubation.xlsx

description: <b>Quantification of pathogen and host biomarkers is essential for the diagnosis, monitoring, and treatment of infectious diseases. Here, we demonstrate sensitive and rapid quantification of bacterial load and cytokines from human biological samples to generate actionable hypotheses. Our digital assay measures IL-6 and TNF-α proteins, gram-negative (GN) and gram-positive (GP) bacterial DNA, and the antibiotic-resistance gene <i>bla</i><sub>TEM </sub>with femtomolar sensitivity. We use our method to characterize bronchoalveolar lavage fluid from patients with asthma and find elevated GN bacteria and IL-6 levels compared to healthy subjects. We then analyze plasma from patients with septic shock and find that increasing levels of IL-6 and <i>bla</i><sub>TEM</sub> are associated with mortality, while decreasing IL-6 levels are associated with recovery. Surprisingly, lower GN bacteria levels are associated with higher probability of death. Applying decision-tree analysis to our measurements, we are able to predict mortality and rate of recovery from septic shock with over 90% accuracy. </b>
DOI: 10.6084/m9.figshare.12026625
title: Gender Differences in Covid-19 Tweeting in English

description: Word frequency statistics and graphs from the paper "Gender Differences in Covid-19 Tweeting in English" based on tweets in English March 10-23, 2020 matching the queries:coronavirus; “corona virus”; COVID-19; COVID19<b></b><i></i><sub></sub><sup></sup><br>
DOI: 10.6084/m9.figshare.12026625.v1
title: Gender Differences in Covid-19 Tweeting in English

description: Word frequency statistics and graphs from the paper "Gender Differences in Covid-19 Tweeting in English" based on tweets in English March 10-23, 2020 matching the queries:coronavirus; “corona virus”; COVID-19; COVID19<b></b><i></i><sub></sub><sup></sup><br>
DOI: 10.6084/m9.figshare.12026535
title: Dystrophin multiplex ISH: additional images

description: Additional images collected from the ISH-probed sections described in the manuscript<br><b>Single-transcript multiplex in situ hybridisation reveals unique patterns of dystrophin isoform expression in the developing mammalian embryo</b> John C.W. Hildyard, Abbe H. Crawford, Faye Rawson, Dominique O. Riddell, Rachel C.M. Harron, Richard J. Piercy<br>
DOI: 10.6084/m9.figshare.12026535.v1
title: Dystrophin multiplex ISH: additional images

description: Additional images collected from the ISH-probed sections described in the manuscript<br><b>Single-transcript multiplex in situ hybridisation reveals unique patterns of dystrophin isoform expression in the developing mammalian embryo</b> John C.W. Hildyard, Abbe H. Crawford, Faye Rawson, Dominique O. Riddell, Rachel C.M. Harron, Richard J. Piercy<br>
DOI: 10.6084/m9.figshare.12026454
title: Raw image stacks of Golgi-stained dendritic segments

description: This file set contains a total of 37 raw image stacks in <b>.lif</b> file format. Each .lif file contains multiple image stacks (a total of 421 raw image stacks).<br><b>Software needed to access the files</b>: The .lif files can be accessed using the image processing program ImageJ. <br>
DOI: 10.6084/m9.figshare.12026454.v1
title: Raw image stacks of Golgi-stained dendritic segments

description: This file set contains a total of 37 raw image stacks in <b>.lif</b> file format. Each .lif file contains multiple image stacks (a total of 421 raw image stacks).<br><b>Software needed to access the files</b>: The .lif files can be accessed using the image processing program ImageJ. <br>
DOI: 10.6084/m9.figshare.12026364
title: Covid Preprint Data

description: Data to support analyses of COVID-19 preprint articles.<br>
DOI: 10.6084/m9.figshare.12026367
title: hg38_ref_genome

description: <em>Homo sapiens</em> (human) <em>genome containing chromosome 1 to 22, X, and Y<br></em>
DOI: 10.6084/m9.figshare.12026340
title: long

description: simulated long read sequencing<br>
DOI: 10.6084/m9.figshare.12026367.v1
title: hg38_ref_genome

description: <em>Homo sapiens</em> (human) <em>genome containing chromosome 1 to 22, X, and Y<br></em>
DOI: 10.6084/m9.figshare.12026340.v1
title: long

description: simulated long read sequencing<br>
DOI: 10.6084/m9.figshare.12026223
title: short_2

description: Simulated short read sequences, second in pair
DOI: 10.6084/m9.figshare.12026223.v1
title: short_2

description: Simulated short read sequences, second in pair
DOI: 10.6084/m9.figshare.12024870
title: short_1

description: Simulated short read sequences, first in pair
DOI: 10.6084/m9.figshare.12024864
title: Appendices - The Hittite Middle Voice Synchrony, Diachrony, Typology

description: In The Hittite Middle Voice Guglielmo Inglese offers a new treatment of the middle voice in Hittite. The book features two main parts. In the first part, the author provides an updated synchronic description of the Hittite middle based on the existing typology of voice systems and valency changing operations. Moreover, based on a careful analysis of a chronologically ordered corpus of original Hittite texts, the book offers the first ever diachronic account of the Hittite middle. As Inglese argues, the findings of this book greatly enrich our general knowledge of the diachronic typology of middle voice systems. The second part of the book features a thorough description of more than 100 Hittite verbs in original texts.
DOI: 10.6084/m9.figshare.12024870.v1
title: short_1

description: Simulated short read sequences, first in pair
DOI: 10.6084/m9.figshare.12024864.v1
title: Appendices - The Hittite Middle Voice Synchrony, Diachrony, Typology

description: In The Hittite Middle Voice Guglielmo Inglese offers a new treatment of the middle voice in Hittite. The book features two main parts. In the first part, the author provides an updated synchronic description of the Hittite middle based on the existing typology of voice systems and valency changing operations. Moreover, based on a careful analysis of a chronologically ordered corpus of original Hittite texts, the book offers the first ever diachronic account of the Hittite middle. As Inglese argues, the findings of this book greatly enrich our general knowledge of the diachronic typology of middle voice systems. The second part of the book features a thorough description of more than 100 Hittite verbs in original texts.
DOI: 10.6084/m9.figshare.12024816
title: Article data.rar

description: article
DOI: 10.6084/m9.figshare.12024795
title: Filippi et al.2020_raw scores.xlsx

description: Biographical, background and experimental data
DOI: 10.6084/m9.figshare.12024816.v1
title: Article data.rar

description: article
DOI: 10.6084/m9.figshare.12024795.v1
title: Filippi et al.2020_raw scores.xlsx

description: Biographical, background and experimental data
DOI: 10.6084/m9.figshare.12024648
title: Gexf graph final of the final snapshot of far-right network on Telegram (2015-Feb 2020)

description: This is a final snapshot of the overall Telegram far-right network<br>
DOI: 10.6084/m9.figshare.12024648.v1
title: Gexf graph final of the final snapshot of far-right network on Telegram (2015-Feb 2020)

description: This is a final snapshot of the overall Telegram far-right network<br>
DOI: 10.6084/m9.figshare.12024624
title: Supplementary Material for: Impact of Disability, Psychological Status, and Comorbidity on Health-Related Quality of Life Perceived by Subjects with Obesity

description: Obesity is a rapidly growing public health problem affecting an increasing number of countries worldwide and creating substantial financial and health burdens. Obesity has a negative impact on health-related quality of life (HRQoL) with reference to physical and mental health status, social relationships, and economic factors. The aim of the present study is to investigate the association of number of comorbidities, psychological status, and disability level with HRQoL in a sample of subjects with obesity. <b><i>Methods:</i></b> A total of 273 subjects with obesity (199 women and 74 men) were recruited. Medical history and anthropometric measurements were carried out. The Italian version of the Laval questionnaire, the TSD-OC (SIO test for obesity-related disabilities), and SCL-90 (Symptom Checklist-90) tests were administered. The association between HRQoL (global and different domains scores of the Laval questionnaire – dependent variable) and age, body mass index (BMI), comorbidity, TSD-OC, and SCL-90 was analysed using a stepwise linear regression model. <b><i>Results:</i></b> BMI, disability (TSD-OC global score), and psychological symptoms (SCL-90 global severity index) were found to be the main determinants of HRQoL. Single domains of HRQoL (symptoms, activity/mobility, personal hygiene/clothing, emotions, social interaction, and sexual life) showed different patterns of associations with each domain of the Laval questionnaire. BMI, pain, and social life disruptions were found to be significantly associated with most of the HRQoL domains while age, comorbidities, psychological problems (depression, interpersonal symptoms, somatization), and disability were associated with only some domains of the Laval questionnaire. Education, psychological symptoms (obsessive-compulsive, anxiety, hostility, phobic anxiety, paranoid ideation), and disability domains (stiffness, housework, outdoor activities, occupational activities) were not associated with any of the dimensions of the Laval questionnaire. <b><i>Discussion/Conclusion:</i></b> The present study identified key determinants of QoL in subjects with obesity, which could help in refining the multidimensional diagnostic assessment of obesity as well as designing more effective interventions to improve HRQoL in these patients.
DOI: 10.6084/m9.figshare.12024624.v1
title: Supplementary Material for: Impact of Disability, Psychological Status, and Comorbidity on Health-Related Quality of Life Perceived by Subjects with Obesity

description: Obesity is a rapidly growing public health problem affecting an increasing number of countries worldwide and creating substantial financial and health burdens. Obesity has a negative impact on health-related quality of life (HRQoL) with reference to physical and mental health status, social relationships, and economic factors. The aim of the present study is to investigate the association of number of comorbidities, psychological status, and disability level with HRQoL in a sample of subjects with obesity. <b><i>Methods:</i></b> A total of 273 subjects with obesity (199 women and 74 men) were recruited. Medical history and anthropometric measurements were carried out. The Italian version of the Laval questionnaire, the TSD-OC (SIO test for obesity-related disabilities), and SCL-90 (Symptom Checklist-90) tests were administered. The association between HRQoL (global and different domains scores of the Laval questionnaire – dependent variable) and age, body mass index (BMI), comorbidity, TSD-OC, and SCL-90 was analysed using a stepwise linear regression model. <b><i>Results:</i></b> BMI, disability (TSD-OC global score), and psychological symptoms (SCL-90 global severity index) were found to be the main determinants of HRQoL. Single domains of HRQoL (symptoms, activity/mobility, personal hygiene/clothing, emotions, social interaction, and sexual life) showed different patterns of associations with each domain of the Laval questionnaire. BMI, pain, and social life disruptions were found to be significantly associated with most of the HRQoL domains while age, comorbidities, psychological problems (depression, interpersonal symptoms, somatization), and disability were associated with only some domains of the Laval questionnaire. Education, psychological symptoms (obsessive-compulsive, anxiety, hostility, phobic anxiety, paranoid ideation), and disability domains (stiffness, housework, outdoor activities, occupational activities) were not associated with any of the dimensions of the Laval questionnaire. <b><i>Discussion/Conclusion:</i></b> The present study identified key determinants of QoL in subjects with obesity, which could help in refining the multidimensional diagnostic assessment of obesity as well as designing more effective interventions to improve HRQoL in these patients.
DOI: 10.6084/m9.figshare.12024615
title: Processed image stacks of Golgi-stained dendritic segments

description: This file set contains a total of 488 processed image stacks of dendritic segments. The images are in <b>.tif</b> file format. <br>The file names have the following format: Case_slide_section_hemisphere. For example, 1_13_1_L would be case 1, slide 13, section 1, left hemisphere. In some instances, a number may be added to the end of file name, e.g. 1_13_1_L_1. This indicates that an additional segment from the same image stack was cropped as this segment was identified as belonging to another neuron. <br> For more information on the contents of each data file, please refer to <b>Data availability statement_Craig et al.docx</b>, in dataset “Data on spine density, spine clustering, and RAM performance” of this collection.
DOI: 10.6084/m9.figshare.12024558
title: Cropped raw image stacks of Golgi-stained dendritic segments

description: This file set contains a total of 458 cropped images stacks of dendritic segments. The images are in <b>.tif</b> file format. <br>The file names have the following format: Case_slide_section_hemisphere. For example, 1_13_1_L would be case 1, slide 13, section 1, left hemisphere. In some instances, a number may be added to the end of file name, e.g. 1_13_1_L_1. This indicates that an additional segment from the same image stack was cropped as this segment was identified as belonging to another neuron. <br> For more information on the contents of each data file, please refer to <b>Data availability statement_Craig et al.docx</b>, in dataset “Data on spine density, spine clustering, and RAM performance” of this collection.
DOI: 10.6084/m9.figshare.12024489
title: Data on spine density, spine clustering, and RAM performance

description: This file set contains 5 data files. These are:<b> Data availability statement_Craig et al.docx </b>(ReadMe file in .docx file format), <b>Craig et al_spine density_spine clustering_RAM performance.xlsx</b> in .xlsx file format, <b>counting and clustering macro.ijm</b> in .ijm file format, <b>Segment processing macro.ijm</b> in .ijm file format, and <b>Segments list.csv</b> in .csv file format.<br> Data file <b>Craig et al_spine density_spine clustering_RAM performance.xlsx, </b>contains numerical data for spine density, spine clustering, and Radial-arm maze (RAM) performance.<br> The two macro files <b>counting and clustering macro.ijm</b> and <b>Segment processing macro.ijm, </b>were used to count spines then calculate spine density and clustering, and to process a cropped segment, respectively.<br> The file<b> Segments list.csv</b>, provides the list of dendritic segments used for spine density and clustering analysis.<br> For more information on the contents of each data file, please refer to <b>Data availability statement_Craig et al.docx</b>