cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.4749664.v1
title: lmksfile.txt

description: The data comprise 3D landmarks collected on the skulls of rats selected for either tameness of aggression.
DOI: 10.6084/m9.figshare.4749649
title: Testing for Threshold Diffusion

description: The threshold diffusion model assumes a piecewise linear drift term and a piecewise smooth diffusion term, which constitutes a rich model for analyzing nonlinear continuous-time processes. We consider the problem of testing for threshold nonlinearity in the drift term. We do this by developing a quasi-likelihood test derived under the working assumption of a constant diffusion term, which circumvents the problem of generally unknown functional form for the diffusion term. The test is first developed for testing for one threshold at which the drift term breaks into two linear functions. We show that under some mild regularity conditions, the asymptotic null distribution of the proposed test statistic is given by the distribution of certain functional of some centered Gaussian process. We develop a computationally efficient method for calibrating the <i>p</i>-value of the test statistic by bootstrapping its asymptotic null distribution. The local power function is also derived, which establishes the consistency of the proposed test. The test is then extended to testing for multiple thresholds. We demonstrate the efficacy of the proposed test by simulations. Using the proposed test, we examine the evidence of nonlinearity in the term structure of a long time series of U.S. interest rates.
DOI: 10.6084/m9.figshare.4749652
title: Is There a Jump in the Transition?

description: This article develops a statistical test for the presence of a jump in an otherwise smooth transition process. In this testing, the null model is a threshold regression and the alternative model is a smooth transition model. We propose a quasi-Gaussian likelihood ratio statistic and provide its asymptotic distribution, which is defined as the maximum of a two parameter Gaussian process with a nonzero bias term. Asymptotic critical values can be tabulated and depend on the transition function employed. A simulation method to compute empirical critical values is also developed. Finite-sample performance of the test is assessed via Monte Carlo simulations. The test is applied to investigate the dynamics of racial segregation within cities across the United States.
DOI: 10.6084/m9.figshare.4749652.v1
title: Is There a Jump in the Transition?

description: This article develops a statistical test for the presence of a jump in an otherwise smooth transition process. In this testing, the null model is a threshold regression and the alternative model is a smooth transition model. We propose a quasi-Gaussian likelihood ratio statistic and provide its asymptotic distribution, which is defined as the maximum of a two parameter Gaussian process with a nonzero bias term. Asymptotic critical values can be tabulated and depend on the transition function employed. A simulation method to compute empirical critical values is also developed. Finite-sample performance of the test is assessed via Monte Carlo simulations. The test is applied to investigate the dynamics of racial segregation within cities across the United States.
DOI: 10.6084/m9.figshare.4749649.v1
title: Testing for Threshold Diffusion

description: The threshold diffusion model assumes a piecewise linear drift term and a piecewise smooth diffusion term, which constitutes a rich model for analyzing nonlinear continuous-time processes. We consider the problem of testing for threshold nonlinearity in the drift term. We do this by developing a quasi-likelihood test derived under the working assumption of a constant diffusion term, which circumvents the problem of generally unknown functional form for the diffusion term. The test is first developed for testing for one threshold at which the drift term breaks into two linear functions. We show that under some mild regularity conditions, the asymptotic null distribution of the proposed test statistic is given by the distribution of certain functional of some centered Gaussian process. We develop a computationally efficient method for calibrating the <i>p</i>-value of the test statistic by bootstrapping its asymptotic null distribution. The local power function is also derived, which establishes the consistency of the proposed test. The test is then extended to testing for multiple thresholds. We demonstrate the efficacy of the proposed test by simulations. Using the proposed test, we examine the evidence of nonlinearity in the term structure of a long time series of U.S. interest rates.
DOI: 10.6084/m9.figshare.4749622
title: Circadian blood pressure abnormalities in patients with primary nephrotic syndrome

description: <i>Background</i>: Only a few studies have evaluated the abnormalities of ambulatory blood pressure (ABP) in patients with nephrotic syndrome (NS). <i>Methods</i>: The 24-h ABPs were measured in primary NS patients with acute onset of disease and analyzed in relation to the clinical variables. <i>Results</i>: Our subjects comprised 21 patients: 17 with minimal change disease and 4 with focal segmental glomerulosclerosis. Of these patients, 8 (38%) had daytime hypertension, 13 (62%) had nighttime hypertension, and 13 (62%) were non-dippers (nighttime-to-daytime ratio of ABP: NDR &gt; 0.9). The serum sodium level was correlated with the average 24-h ABP and NDR, after adjustment for other clinical variables, such as the increase in body weight, serum albumin level, and urinary protein excretion. The data from repeated ABP measurements, before and after the achievement of remission, showed a marked decrease in the average 24-h ABP after remission. Furthermore, change in the serum sodium level was significantly correlated with the change in NDR. <i>Conclusion</i>: These results suggest that alteration in renal handling of sodium and water, which might be reflected in serum sodium level, is involved in the abnormality of circadian blood pressure in primary NS patients.
DOI: 10.6084/m9.figshare.4749622.v1
title: Circadian blood pressure abnormalities in patients with primary nephrotic syndrome

description: <i>Background</i>: Only a few studies have evaluated the abnormalities of ambulatory blood pressure (ABP) in patients with nephrotic syndrome (NS). <i>Methods</i>: The 24-h ABPs were measured in primary NS patients with acute onset of disease and analyzed in relation to the clinical variables. <i>Results</i>: Our subjects comprised 21 patients: 17 with minimal change disease and 4 with focal segmental glomerulosclerosis. Of these patients, 8 (38%) had daytime hypertension, 13 (62%) had nighttime hypertension, and 13 (62%) were non-dippers (nighttime-to-daytime ratio of ABP: NDR &gt; 0.9). The serum sodium level was correlated with the average 24-h ABP and NDR, after adjustment for other clinical variables, such as the increase in body weight, serum albumin level, and urinary protein excretion. The data from repeated ABP measurements, before and after the achievement of remission, showed a marked decrease in the average 24-h ABP after remission. Furthermore, change in the serum sodium level was significantly correlated with the change in NDR. <i>Conclusion</i>: These results suggest that alteration in renal handling of sodium and water, which might be reflected in serum sodium level, is involved in the abnormality of circadian blood pressure in primary NS patients.
DOI: 10.6084/m9.figshare.4749727.v1
title: BAU Workshop Materials and Interaction Cards v1

description: A set of 'Customer Interaction Cards' and an accompanying set of workshop materials. These can be used to explore and design potential futures for Business as Unusual, and map novel customer journeys through these new models.
DOI: 10.6084/m9.figshare.4748425
title: DieselNOxEmissionsInventory.zip

description: Gridded real-world on-road diesel vehicle NOx emissions in 2015 and 2040 from 11 major vehicle markets: Australia, Brazil, Canada, China, EU-28, India, Japan, Mexico, Russia, South Korea, and U.S. Datasets include NOx emissions from light-duty vehicles (ldv), heavy-duty trucks (hdt), and heavy-duty buses (bus) for two scenarios in 2015 and five scenarios in 2040. Scenarios are described in accompanying journal article. <br><br>Citation for use of this dataset:<br>Anenberg, S.C., Miller, J., Minjares, R., Du, L., Henze, D., Lacey, F., Malley, C., Emberson, L., Franco, V., Klimont, Z., Heyes, C. (2017) Impacts and mitigation of excess diesel NOx emissions in 11 major vehicle markets. Nature, 545:467-471, doi:10.1038/nature22086. <br>
DOI: 10.6084/m9.figshare.4748758
title: Gradiente entre medidas consecutivas del CO

description: Gradiente entre medidas consecutivas del CO en Palacio de Congresos de Granada y Granada Norte
DOI: 10.6084/m9.figshare.4748293
title: Addfile 1 crude RDTs 04072016.pdf

description: Additional files to diagnostic accuracy study of HIV tests<br>
DOI: 10.6084/m9.figshare.4748332.v2
title: Wiley Open Science Researcher Survey 2016

description: The Wiley Open Science Researcher Survey was undertaken to understand experiences and practices in open science, with a particular focus on publishing open access and open data.<br>The data is being shared in an effort to advance the global conversation around open science and to help Wiley better meet the needs of our researchers, authors, and partners in the rapidly evolving landscape of scientific research and communications.<br>
DOI: 10.6084/m9.figshare.4748278
title: Dynamic occupancy maps for UK butterflies

description: This zipped file contains scripts and associated data for producing dynamic occupancy maps for a sample of UK butterflies using Shiny in R.<br>Alternatively the Shiny app for the dynamic maps can be found at https://ebdennis.shinyapps.io/DynMap/<br>See 'Efficient occupancy model-fitting for extensive citizen-science data' (Dennis et al, PLOS ONE, 2017) for further details.
DOI: 10.6084/m9.figshare.4748263
title: Supplemental Data Accepted Version

description: Data Set S1. Zip file containing gene expression matrix and transcript expression matrix for all 10 samples used in this study.Data Set S2. Zip file containing interactive version of Figure 3A.Data Set S3. Zip file containing interactive version of Figure 3B. Table S1. Docx file comparing transcripts per million mapped reads (TPM) for each bat tissue sample to samples from bats without P. destructans infections.Table S2. Xlsx file comparing expression analysis for Culture and MyLu samples using both edgeR and DESeq2. Trinotate annotation results are also shown for all transcripts and predicted coding sequences. Genes with multiple annotated coding sequences are listed once for each annotation. A legend for each column is contained in the second tab of the spreadsheet.Figure S1. Pdf file showing a volcano plot of the expression level changes (in log2 fold change) and differential expression FDR (in –log10) for both M. lucifugus and P. destructans genes in the MyLu samples compared to M. lucifugus samples uninfected with P. destructans. M. lucifugus genes are shown in green (FDR &gt; 0.001) or orange (FDR ≤ 0.001). P. destructans genes are shown in blue (FDR &gt; 0.001) or pink (FDR ≤ 0.001).
DOI: 10.6084/m9.figshare.4748332.v1
title: Wiley Open Science Researcher Survey 2016

description: The Wiley Open Science Researcher Survey was undertaken to understand experiences and practices in open science, with a particular focus on publishing open access and open data.<br>The data is being shared in an effort to advance the global conversation around open science and to help Wiley better meet the needs of our researchers, authors, and partners in the rapidly evolving landscape of scientific research and communications.<br>
DOI: 10.6084/m9.figshare.4748758.v3
title: Gradiente entre medidas consecutivas del CO

description: Gradiente entre medidas consecutivas del CO en Palacio de Congresos de Granada y Granada Norte
DOI: 10.6084/m9.figshare.4748242
title: Regression Discontinuity Designs With Sample Selection

description: This article extends the standard regression discontinuity (RD) design to allow for sample selection or missing outcomes. We deal with both treatment endogeneity and sample selection. Identification in this article does not require any exclusion restrictions in the selection equation, nor does it require specifying any selection mechanism. The results can therefore be applied broadly, regardless of how sample selection is incurred. Identification instead relies on smoothness conditions. Smoothness conditions are empirically plausible, have readily testable implications, and are typically assumed even in the standard RD design. We first provide identification of the “extensive margin” and “intensive margin” effects. Then based on these identification results and principle stratification, sharp bounds are constructed for the treatment effects among the group of individuals that may be of particular policy interest, that is, those always participating compliers. These results are applied to evaluate the impacts of academic probation on college completion and final GPAs. Our analysis reveals striking gender differences at the extensive versus the intensive margin in response to this negative signal on performance.
DOI: 10.6084/m9.figshare.4748263.v1
title: Supplemental Data Accepted Version

description: Data Set S1. Zip file containing gene expression matrix and transcript expression matrix for all 10 samples used in this study.Data Set S2. Zip file containing interactive version of Figure 3A.Data Set S3. Zip file containing interactive version of Figure 3B. Table S1. Docx file comparing transcripts per million mapped reads (TPM) for each bat tissue sample to samples from bats without P. destructans infections.Table S2. Xlsx file comparing expression analysis for Culture and MyLu samples using both edgeR and DESeq2. Trinotate annotation results are also shown for all transcripts and predicted coding sequences. Genes with multiple annotated coding sequences are listed once for each annotation. A legend for each column is contained in the second tab of the spreadsheet.Figure S1. Pdf file showing a volcano plot of the expression level changes (in log2 fold change) and differential expression FDR (in –log10) for both M. lucifugus and P. destructans genes in the MyLu samples compared to M. lucifugus samples uninfected with P. destructans. M. lucifugus genes are shown in green (FDR &gt; 0.001) or orange (FDR ≤ 0.001). P. destructans genes are shown in blue (FDR &gt; 0.001) or pink (FDR ≤ 0.001).
DOI: 10.6084/m9.figshare.4748269
title: Erten_et_al2017data

description: The data generated by the simulations of Erten E.Y., van den Berg P. & Weissing F.J. Acculturation orientations affect the evolution of a multicultural society (2017), in raw, processed and rearranged formats. Includes the processing script and supplementary data.
DOI: 10.6084/m9.figshare.4748227
title: Letter-Value Plots: Boxplots for Large Data

description: Boxplots are useful displays that convey rough information about the distribution of a variable. Boxplots were designed to be drawn by hand and work best for small datasets, where detailed estimates of tail behavior beyond the quartiles may not be trustworthy. Larger datasets afford more precise estimates of tail behavior, but boxplots do not take advantage of this precision, instead presenting large numbers of extreme, though not unexpected, observations. Letter-value plots address this problem by including more detailed information about the tails using “letter values,” an order statistic defined by Tukey. Boxplots display the first two letter values (the median and quartiles); letter-value plots display further letter values so far as they are reliable estimates of their corresponding quantiles. We illustrate letter-value plots with real data that demonstrate their usefulness for large datasets. All graphics are created using the R package lvplot, and code and data are available in the supplementary materials.
DOI: 10.6084/m9.figshare.4748242.v1
title: Regression Discontinuity Designs with Sample Selection

description: This paper extends the standard regression discontinuity (RD) design to allow for sample selection or missing outcomes. We deal with both treatment endogeneity and sample selection. Identification in this paper does not require any exclusion restrictions in the selection equation, nor does it require specifying any selection mechanism. The results can therefore be applied broadly, regardless of how sample selection is incurred. Identification instead relies on smoothness conditions. Smoothness conditions are empirically plausible, have readily testable implications, and are typically assumed even in the standard RD design. We first provide identification of the ‘extensive margin’ and ‘intensive margin’ effects. Then based on these identification results and principle stratification, sharp bounds are constructed for the treatment effects among the group of individuals that may be of particular policy interest, i.e., those always participating compliers. These results are applied to evaluate the impacts of academic probation on college completion and final GPAs. Our analysis reveals striking gender differences at the extensive versus the intensive margin in response to this negative signal on performance.
DOI: 10.6084/m9.figshare.4748269.v1
title: Erten_et_al2017data

description: The data generated by the simulations of Erten E.Y., van den Berg P. & Weissing F.J. The effect of acculturation on the evolution of a multicultural society (2017), in raw, processed and rearranged formats. Includes the processing script.
DOI: 10.6084/m9.figshare.4748188
title: Supplementary Material for: Simultaneous Assessment of Airway Instability and Respiratory Dynamics with Low-Dose 4D-CT in Chronic Obstructive Pulmonary Disease: A Technical Note

description: <strong><em>Background: </em></strong>Advanced-stage chronic obstructive pulmonary disease (COPD) is associated with severely altered respiratory dynamics. Dynamic airway instability is usually diagnosed by invasive bronchoscopy. Cine-computed tomography (CT) may be used alternatively, but is limited to predefined anatomical positions. Also, a paradoxical diaphragmatic motion has been described in patients with emphysema. <b><i>Objectives:</i></b> As the airways and chest wall show inherently high contrast to airway lumen and lung tissue, low-dose CT acquisitions potentially suffice for depicting tracheobronchial and chest wall motion. Therefore, we propose low-dose dynamic respiratory-gated multidetector CT (4D-CT) of the whole chest as a new method to assess respiratory dynamics. <b><i>Methods:</i></b> 4D-CT was performed in 3 patients (52, 62 and 76 years old) with suspected tracheal instability due to COPD or tracheal stenosis at minimal pitch (0.09) and radiation exposure (1.4-1.9 mSv) during regular tidal breathing registered by a belt system. Image reconstruction involved a raw data-based iterative algorithm (1.5-mm slice thickness, 1.0-mm z-axis increment, 5% respiratory increment), resulting in a stack of 6,700 images, which were evaluated with a 4D-viewing tool. <b><i>Results:</i></b> An excessive dynamic collapse of the trachea in combination with tracheobronchomalacia (TBM) of the main-stem and segmental bronchi, and a paradoxical diaphragmatic motion were demonstrated in 1 case. Moreover, we detected a saber-sheath trachea and main-stem TBM in another case. The third case showed a fixed tracheal stenosis. <b><i>Conclusions:</i></b> 4D-CT provides unprecedented z-axis coverage and time-resolved volumetric datasets of the whole chest. Airway instability, stenosis and paradoxical diaphragmatic motion may be assessed simultaneously, preceding interventions such as airway stabilization or lung volume reduction.
DOI: 10.6084/m9.figshare.4748227.v1
title: Letter-value plots: Boxplots for large data

description: Boxplots (Tukey, 1977) are useful displays that convey rough information about the distribution of a variable. Boxplots were designed to be drawn by hand and work best for small data sets, where detailed estimates of tail behavior beyond the quartiles may not be trustworthy. Larger data sets afford more precise estimates of tail behavior, but boxplots do not take advantage of this precision, instead presenting large numbers of extreme, though not unexpected, observations. Letter-value plots address this problem by including more detailed information about the tails using “letter values”, an order statistic defined by Tukey. Boxplots display the first two letter values (the median and quartiles); letter-value plots display further letter values so far as they are reliable estimates of their corresponding quantiles. We illustrate letter-value plots with real data that demonstrate their usefulness for large data sets. All graphics are created using the R package lvplot, and code and data are available in the supplementary materials.
DOI: 10.6084/m9.figshare.4748269.v2
title: Erten_et_al2017data

description: The data generated by the simulations of Erten E.Y., van den Berg P. & Weissing F.J. The effect of acculturation on the evolution of a multicultural society (2017), in raw, processed and rearranged formats. Includes the processing script.
DOI: 10.6084/m9.figshare.4748227.v3
title: Letter-Value Plots: Boxplots for Large Data

description: Boxplots are useful displays that convey rough information about the distribution of a variable. Boxplots were designed to be drawn by hand and work best for small datasets, where detailed estimates of tail behavior beyond the quartiles may not be trustworthy. Larger datasets afford more precise estimates of tail behavior, but boxplots do not take advantage of this precision, instead presenting large numbers of extreme, though not unexpected, observations. Letter-value plots address this problem by including more detailed information about the tails using “letter values,” an order statistic defined by Tukey. Boxplots display the first two letter values (the median and quartiles); letter-value plots display further letter values so far as they are reliable estimates of their corresponding quantiles. We illustrate letter-value plots with real data that demonstrate their usefulness for large datasets. All graphics are created using the R package lvplot, and code and data are available in the supplementary materials.
DOI: 10.6084/m9.figshare.4748227.v2
title: Letter-Value Plots: Boxplots for Large Data

description: Boxplots are useful displays that convey rough information about the distribution of a variable. Boxplots were designed to be drawn by hand and work best for small datasets, where detailed estimates of tail behavior beyond the quartiles may not be trustworthy. Larger datasets afford more precise estimates of tail behavior, but boxplots do not take advantage of this precision, instead presenting large numbers of extreme, though not unexpected, observations. Letter-value plots address this problem by including more detailed information about the tails using “letter values,” an order statistic defined by Tukey. Boxplots display the first two letter values (the median and quartiles); letter-value plots display further letter values so far as they are reliable estimates of their corresponding quantiles. We illustrate letter-value plots with real data that demonstrate their usefulness for large datasets. All graphics are created using the R package lvplot, and code and data are available in the supplementary materials.