cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16750384
title: Healing Study Beres et al. - Part 1: Psychological and Immunological Changes after meeting a Chaplain coupled with Biblical Readings among Hospitalized Patients

description: Healing Study Beres et al.: A Clinical Study to evaluate Potential Psychological-, Neurological- and Immunological Effects of a Visit by a Chaplain coupled with Biblical Readings among Hospitalized Patients.<br><br>The authors pre-screened hospitalized participants to find those who were the most in need of an intervention by a chaplain. A passage from the Bible was read to the participants during a meeting with the chaplain at the bedside, or in the chapel of the hospital. No meeting occurred in the randomized control group, which was compiled in a way to get a group of participants with an approximatively similar pattern of diagnoses and treatment days than the intervention groups. <br>The pace of enrollment was deliberately slow in order to assure the authenticity of the visits ("slow science"). <br>Part 1: blood samples were taken 30 minutes prior, and 60 minutes after the meeting to measure White Blood Cell (WBC)-, lymphocyte counts, interferon gamma (IFN-γ)-, immunoglobulin M (IgM)-, immunoglobulin A (IgA)-, immunoglobulin G (IgG)-, and complement C3 levels. Raw psychological parameters were estimated with the usage of "Healing Questionnaires" designed for the Study, "before" and "afer" the visits, containing single-item rating scales in order to record assessements by the patients and the chaplain separately; PSS-14 Scale was also used in the groups at the chapel.<br>Part 2: a subgroup of the visited participants was subjected to functional Magnetic Resonance Imaging (fMRI), where they were played an audiotape of readings of the same passage from the Bible. fMRI raw data and the corresponding co-authors are published in a subsequent dataset corresponding to this study (https://doi.org/10.6084/m9.figshare.16751851).
DOI: 10.6084/m9.figshare.13611285.v1
title: A Pseudo-Likelihood Approach to Linear Regression with Partially Shuffled Data

description: Recently, there has been significant interest in linear regression in the situation where predictors and responses are not observed in matching pairs corresponding to the same statistical unit as a consequence of separate data collection and uncertainty in data integration. Mismatched pairs can considerably impact the model fit and disrupt the estimation of regression parameters. In this paper, we present a method to adjust for such mismatches under “partial shuffling” in which a sufficiently large fraction of (predictors, response)-pairs are observed in their correct correspondence. The proposed approach is based on a pseudo-likelihood in which each term takes the form of a two-component mixture density. Expectation-Maximization schemes are proposed for optimization, which (i) scale favorably in the number of samples, and (ii) achieve excellent statistical performance relative to an oracle that has access to the correct pairings as certified by simulations and case studies. In particular, the proposed approach can tolerate considerably larger fraction of mismatches than existing approaches, and enables estimation of the noise level as well as the fraction of mismatches. Inference for the resulting estimator (standard errors, confidence intervals) can be based on established theory for composite likelihood estimation. Along the way, we also propose a statistical test for the presence of mismatches and establish its consistency under suitable conditions. Supplementary materials for this article are available online.
DOI: 10.5066/f7251g6t
title: National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for the Western Native Trout Initiative
DOI: 10.5066/f7348hc3
title: National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for the Eastern Brook Trout Joint Venture
DOI: 10.5066/f7gb222w
title: National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for the Driftless Area Restoration Effort
DOI: 10.5066/f7m32sst
title: National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for the California Fish Passage Forum
DOI: 10.5066/f7736nx2
title: Unimpaired daily flows in the Russian River basin 1915-2014
DOI: 10.5066/f72v2d4c
title: Official Recognized Boundary of Midwest Glacial Lakes Partnership, 2013
DOI: 10.5066/f7445jhg
title: Geospatial Fabric Attribute Tables for PRMS Topographic Parameters based on NHDPlus DEMs(Preliminary)
DOI: 10.5066/f7n58jd8
title: Geospatial Fabric Attribute Tables for PRMS Landcover Parameters based on NLCD2001 (Preliminary)
DOI: 10.5066/f7rx9937
title: Geospatial Fabric Attribute Tables for PRMS Soils Parameters based on SSURGO (Preliminary)
DOI: 10.5281/zenodo.5544582
title: Data for LOL2-21-0119

description: Data for manuscript <em>In Situ estimates of Net Primary Production in the Open-ocean Gulf of Mexico </em>submitted for Limnology and Oceanography Letters (LOL2-21-0119). Files 4902286.mat ~ 4902290.mat contains the Argo data and the corresponding satellite data. File monthlyClimatologicalNO3NH4.mat contains the monthly climatology of the total concentration of (nitrate + ammonium) for our research area.
DOI: 10.5281/zenodo.5544581
title: Data for LOL2-21-0119

description: Data for manuscript <em>In Situ estimates of Net Primary Production in the Open-ocean Gulf of Mexico </em>submitted for Limnology and Oceanography Letters (LOL2-21-0119). Files 4902286.mat ~ 4902290.mat contains the Argo data and the corresponding satellite data. File monthlyClimatologicalNO3NH4.mat contains the monthly climatology of the total concentration of (nitrate + ammonium) for our research area.
DOI: 10.5281/zenodo.5806525
title: Goniobranchus leopardus SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5806524
title: Goniobranchus leopardus SPAdes preassembly

description: .
DOI: 10.6084/m9.figshare.14456292
title: Dataset HPV ITS y2021m04 [51]

description: <b>Detection of Human papillomavirus and co-infection with other sexually transmitted pathogens in northern Peru</b><b><br></b>ABSTRACT BackgroundHuman papillomavirus (HPV) infection is the most common sexually transmitted infection worldwide. High-risk HPV strains are a necessary but not a sufficient cause for cervical cancer and the presence of other co-factors may facilitate progression to cancer. The presence of other sexually transmitted infections (STIs) may be associated with greater progression of cervical lesions. ObjectiveThe aim of this study was to identify HPV infections and the presence of co-infections by other important STIs (<i>Chlamydia trachomatis, Trichomonas vaginalis</i>, and <i>Herpes simplex virus 2</i>) in women attending the public health system in northern Peru. MethodsWe conducted a prospective cross-sectional study in asymptomatic women attending the cervical cancer screening program in a public hospital of Cajamarca, Peru. Detection of sexually transmitted pathogens was performed by polymerase chain reaction (PCR). The pathogens evaluated were: HPV, C<i>hlamydia trachomatis, Trichomonas vaginalis</i>, and <i>Herpes simplex virus 1 </i>(HSV-1) and<i> 2</i> (HSV-2) . ResultsA total of 300 asymptomatic women were enrolled in the current study. The pooled prevalence of HPV detected in our study was 19.33% (16.33% as single infection and 3.00% in co-infections) from the total samples.Co-infections between the different pathogens were also observed in 15 cases, being HPV and <i>T. vaginalis</i> the most frequent with 10 cases (66.67%). The most frequent type identified in HPV monoinfections were HPV-16 (16.33%), HPV-52 (14.29%) and HPV-31 (8.16%). Co-infection by multiple HPV types were also identified with up to 4 genotypes at the same time in a single patient The majority of patients with high-risk HPV were between 18 - 39 years old (60.87%) and had a sexual partner in the last 6 months (93.48%). Also, the majority of the patients with high-risk types did not report frequent condom use (89.13%). Keywords: HPV, Human papillomavirus, Herpes, Herpes virus simple, <i>Chlamydia trachomatis</i>, <i>Trichomonas vaginalis</i><b><br></b>
DOI: 10.5281/zenodo.5806543
title: Petrocephalus sullivani decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5806542
title: Petrocephalus sullivani decontaminated FSCR

description: .
DOI: 10.15468/f8g95t
title: Study of specific plant diversity in forest reserves and riparian areas in Benin (Part 2)

description: The inventory was carried out in Benin forest reserves. Data were collected through a random sampling. The collection method is observation.
DOI: 10.5281/zenodo.5806468
title: Abundance of Weyl points in semiclassical multi-terminal superconducting nanostructures

description: Jupyter notebooks for generating and analysing the data. Data for statistics. Figures and plots.
DOI: 10.5281/zenodo.5806467
title: Abundance of Weyl points in semiclassical multi-terminal superconducting nanostructures

description: Jupyter notebooks for generating and analysing the data. Data for statistics. Figures and plots.
DOI: 10.5281/zenodo.5806643
title: GustoDB - preview version

description: Authors: K. Bernacki, M. Walus<br> Silesian University of Technology<br> Gliwice, Poland 1. GustoDB - database of NIR images of finger vascular system.<br> 2. Limited preview version with 10 subjects.<br> 3. No additional medical information, full anonymization.<br> 3. Structure of catalogues: A001/F8/880nm/s02.png -&gt; subject no. 001 / finger no. 8 / NIR wavelength used: 880nm / session 02
DOI: 10.5281/zenodo.5806642
title: GustoDB - preview version

description: Authors: K. Bernacki, M. Walus<br> Silesian University of Technology<br> Gliwice, Poland 1. GustoDB - database of NIR images of finger vascular system.<br> 2. Limited preview version with 10 subjects.<br> 3. No additional medical information, full anonymization.<br> 3. Structure of catalogues: A001/F8/880nm/s02.png -&gt; subject no. 001 / finger no. 8 / NIR wavelength used: 880nm / session 02
DOI: 10.5281/zenodo.4604563
title: Orientation-Dependent Propulsion of Triangular Nano- and Microparticles by a Traveling Ultrasound Wave

description: Supplementary data for the following manuscript: Johannes Voß, Raphael Wittkowski, "Orientation-Dependent Propulsion of Triangular Nano- and Microparticles by a Traveling Ultrasound Wave".
description: R.W. is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – WI 4170/3-1.
DOI: 10.5281/zenodo.4604562
title: Orientation-Dependent Propulsion of Triangular Nano- and Microparticles by a Traveling Ultrasound Wave

description: Supplementary data for the following manuscript: Johannes Voß, Raphael Wittkowski, "Orientation-Dependent Propulsion of Triangular Nano- and Microparticles by a Traveling Ultrasound Wave".
description: R.W. is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – WI 4170/3-1.
DOI: 10.5281/zenodo.4922510
title: A novel UPLC-MS metabolomic analysis-based strategy to monitor the course and extent of iPSC differentiation to hepatocytes

description: ms2 raw data, peak tables generated in Quantitative Analysis Software from Agilent and Matlab functions for QC-SVRC, data clean-up and analysis for the publication with title "Monitoring the differentiation of iPSC to hepatocytes by means of UPLC-MS metabolomics".
DOI: 10.5281/zenodo.4922509
title: A novel UPLC-MS metabolomic analysis-based strategy to monitor the course and extent of iPSC differentiation to hepatocytes

description: ms2 raw data, peak tables generated in Quantitative Analysis Software from Agilent and Matlab functions for QC-SVRC, data clean-up and analysis for the publication with title "Monitoring the differentiation of iPSC to hepatocytes by means of UPLC-MS metabolomics".
DOI: 10.34740/kaggle/dsv/2976447
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.5281/zenodo.5806568
title: Eupsittula canicularis decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5806567
title: Eupsittula canicularis decontaminated FSCR

description: .
DOI: 10.6084/m9.figshare.17695865
title: AMR1 - SDN Med Students.sav

description: Knowledge, attitude and practice of self-medication with antibiotics among medical students in Sudanese universities.
DOI: 10.6084/m9.figshare.17695865.v1
title: AMR1 - SDN Med Students.sav

description: Knowledge, attitude and practice of self-medication with antibiotics among medical students in Sudanese universities.
DOI: 10.5281/zenodo.5806720
title: Eurosta solidaginis decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5806719
title: Eurosta solidaginis decontaminated FSCR

description: .
DOI: 10.6084/m9.figshare.3180913.v1
title: Southeast US Imperiled Species Planning

description: Final report on using open data to rank the importance of all 875 counties in the Southeast United States based on the number of ESA-listed species, expected human population growth through 2040, and the amount of protected land per county.<br><br>
DOI: 10.6084/m9.figshare.3761562.v2086
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5519/qd.5owsm1dc
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.12849728
title: Semiparametric Estimation of a Censored Regression Model Subject to Nonparametric Sample Selection

description: This study proposes a semiparametric estimation method for a censored regression model subject to nonparametric sample selection without the exclusion restriction. Consistency and asymptotic normality of the proposed estimator are established under mild regularity conditions. A Monte Carlo simulation study indicates that the estimator performs well in various designs and outperforms parametric maximum likelihood estimators. An empirical application to female smoking is provided to illustrate the usefulness of the estimator.
DOI: 10.6084/m9.figshare.12849728.v2
title: Semiparametric Estimation of a Censored Regression Model Subject to Nonparametric Sample Selection

description: This study proposes a semiparametric estimation method for a censored regression model subject to nonparametric sample selection without the exclusion restriction. Consistency and asymptotic normality of the proposed estimator are established under mild regularity conditions. A Monte Carlo simulation study indicates that the estimator performs well in various designs and outperforms parametric maximum likelihood estimators. An empirical application to female smoking is provided to illustrate the usefulness of the estimator.
DOI: 10.6084/m9.figshare.12849728.v1
title: Semiparametric estimation of a censored regression model subject to nonparametric sample selection

description: This study proposes a semiparametric estimation method for a censored regression model subject to nonparametric sample selection without the exclusion restriction. Consistency and asymptotic normality of the proposed estimator are established under mild regularity conditions. A Monte Carlo simulation study indicates that the estimator performs well in various designs and outperforms parametric maximum likelihood estimators. An empirical application to female smoking is provided to illustrate the usefulness of the estimator.
DOI: 10.6084/m9.figshare.12393308
title: A New Approach to Dating the Reference Cycle

description: <i>Abstract–</i>This article proposes a new approach to the analysis of the reference cycle turning points, defined on the basis of the specific turning points of a broad set of coincident economic indicators. Each individual pair of specific peaks and troughs from these indicators is viewed as a realization of a mixture of an unspecified number of separate bivariate Gaussian distributions whose different means are the reference turning points. These dates break the sample into separate reference cycle phases, whose shifts are modeled by a hidden Markov chain. The transition probability matrix is constrained so that the specification is equivalent to a multiple change-point model. Bayesian estimation of finite Markov mixture modeling techniques is suggested to estimate the model. Several Monte Carlo experiments are used to show the accuracy of the model to date reference cycles that suffer from short phases, uncertain turning points, small samples, and asymmetric cycles. In the empirical section, we show the high performance of our approach to identifying the US reference cycle, with little difference from the timing of the turning point dates established by the NBER. In a pseudo real-time analysis, we also show the good performance of this methodology in terms of accuracy and speed of detection of turning point dates.
DOI: 10.6084/m9.figshare.12393308.v2
title: A New Approach to Dating the Reference Cycle

description: <i>Abstract–</i>This article proposes a new approach to the analysis of the reference cycle turning points, defined on the basis of the specific turning points of a broad set of coincident economic indicators. Each individual pair of specific peaks and troughs from these indicators is viewed as a realization of a mixture of an unspecified number of separate bivariate Gaussian distributions whose different means are the reference turning points. These dates break the sample into separate reference cycle phases, whose shifts are modeled by a hidden Markov chain. The transition probability matrix is constrained so that the specification is equivalent to a multiple change-point model. Bayesian estimation of finite Markov mixture modeling techniques is suggested to estimate the model. Several Monte Carlo experiments are used to show the accuracy of the model to date reference cycles that suffer from short phases, uncertain turning points, small samples, and asymmetric cycles. In the empirical section, we show the high performance of our approach to identifying the US reference cycle, with little difference from the timing of the turning point dates established by the NBER. In a pseudo real-time analysis, we also show the good performance of this methodology in terms of accuracy and speed of detection of turning point dates.
DOI: 10.6084/m9.figshare.12393308.v1
title: A new approach to dating the reference cycle*

description: This paper proposes a new approach to the analysis of the reference cycle turning points, defined on the basis of the specific turning points of a broad set of coincident economic indicators. Each individual pair of specific peaks and troughs from these indicators is viewed as a realization of a mixture of an unspecified number of separate bivariate Gaussian distributions whose different means are the reference turning points. These dates break the sample into separate reference cycle phases, whose shifts are modeled by a hidden Markov chain. The transition probability matrix is constrained so that the specification is equivalent to a multiple change-point model. Bayesian estimation of finite Markov mixture modeling techniques is suggested to estimate the model. Several Monte Carlo experiments are used to show the accuracy of the model to date reference cycles that suffer from short phases, uncertain turning points, small samples and asymmetric cycles. In the empirical section, we show the high performance of our approach to identifying the US reference cycle, with little difference from the timing of the turning point dates established by the NBER. In a pseudo real-time analysis, we also show the good performance of this methodology in terms of accuracy and speed of detection of turning point dates.
DOI: 10.6084/m9.figshare.12999577
title: A Projective Approach to Conditional Independence Test for Dependent Processes

description: Conditional independence is a fundamental concept in many scientific fields. In this article, we propose a projective approach to measuring and testing departure from conditional independence for dependent processes. Through projecting high-dimensional dependent processes on to low-dimensional subspaces, our proposed projective approach is insensitive to the dimensions of the processes. We show that, under the common <i>β</i>-mixing conditions, our proposed projective test statistic is <i>n</i>-consistent if these processes are conditionally independent and root-<i>n</i>-consistent otherwise. We suggest a bootstrap procedure to approximate the asymptotic null distribution of the test statistic. The consistency of this bootstrap procedure is also rigorously established. The finite-sample performance of our proposed projective test is demonstrated through simulations against various alternatives and an economic application to test for Granger causality.
DOI: 10.6084/m9.figshare.12999577.v2
title: A Projective Approach to Conditional Independence Test for Dependent Processes

description: Conditional independence is a fundamental concept in many scientific fields. In this article, we propose a projective approach to measuring and testing departure from conditional independence for dependent processes. Through projecting high-dimensional dependent processes on to low-dimensional subspaces, our proposed projective approach is insensitive to the dimensions of the processes. We show that, under the common <i>β</i>-mixing conditions, our proposed projective test statistic is <i>n</i>-consistent if these processes are conditionally independent and root-<i>n</i>-consistent otherwise. We suggest a bootstrap procedure to approximate the asymptotic null distribution of the test statistic. The consistency of this bootstrap procedure is also rigorously established. The finite-sample performance of our proposed projective test is demonstrated through simulations against various alternatives and an economic application to test for Granger causality.
DOI: 10.6084/m9.figshare.13050184
title: Homogeneity and Structure Identification in Semiparametric Factor Models

description: Factor modeling is an essential tool for exploring intrinsic dependence structures in financial and economic studies through the construction of common latent variables, including the famous Fama–French three factor models for the description of asset returns in finance. However, most of the existing statistical methods for analyzing latent factors have been developed through a linear approach. In this article, we consider a semiparametric factor model and present a regularized estimation procedure for linear component identification on the transformed factor that combines B-spline basis function approximations and the smoothly clipped absolute deviation penalty. In addition, a binary segmentation based algorithm is also developed to identify the homogeneous groups in loading parameters, producing more efficient estimation by pooling information across units within the same group. We carefully derive the asymptotic properties for the proposed procedures. Finally, simulation studies and a real data analysis are conducted to evaluate the finite sample performance of our proposals.