cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.8023760.v1
title: CCDB_4062.jpg

description: Triple labeled confocal image of the cerebellar cortex of a transgenic mouse engineered to overexpress alpha synuclein under the Thy-1 promotor, immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal cell nuclei.
DOI: 10.6084/m9.figshare.8023763.v1
title: CCDB_4063.jpg

description: Triple labeled confocal image of the neostriatum of a transgenic mouse engineered to overexpress alpha synuclein under the Thy-1 promotor, immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal nuclei.
DOI: 10.6084/m9.figshare.8023748
title: CCDB_4060.jpg

description: Triple labeled confocal image of hippocampal area CA3 of a transgenic mouse engineered to overexpress alpha synuclein under the Thy-1 promotor, immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal cell nuclei.
DOI: 10.6084/m9.figshare.8023751
title: CCDB_4061.jpg

description: Triple labeled confocal image of the cerebral cortex of a transgenic mouse engineered to overexpress alpha synuclein under the Thy-1 promotor, immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal nuclei.
DOI: 10.6084/m9.figshare.8023745
title: CCDB_4059.jpg

description: Triple labeled confocal image of hippocampal area CA1 of a transgenic mouse engineered to overexpress alpha synuclein under the Thy-1 promotor, immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal cell nuclei.
DOI: 10.6084/m9.figshare.8023751.v1
title: CCDB_4061.jpg

description: Triple labeled confocal image of the cerebral cortex of a transgenic mouse engineered to overexpress alpha synuclein under the Thy-1 promotor, immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal nuclei.
DOI: 10.6084/m9.figshare.8023736
title: CCDB_4056.jpg

description: Triple labeled confocal image of the cerebellar cortex of a non-transgenic mouse, immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal nuclei. The unevenness in staining likely represents unevenness in the section.
DOI: 10.6084/m9.figshare.8023739
title: CCDB_4057.jpg

description: Triple labeled confocal image of the neostriatum of a non-transgenic mouse, immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal nuclei.
DOI: 10.6084/m9.figshare.8023742
title: CCDB_4058.jpg

description: Triple labeled confocal image of the dentate gyrus of a transgenic mouse engineered to overexpress alpha synuclein under the Thy-1 promotor, immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal nuclei.
DOI: 10.6084/m9.figshare.8023748.v1
title: CCDB_4060.jpg

description: Triple labeled confocal image of hippocampal area CA3 of a transgenic mouse engineered to overexpress alpha synuclein under the Thy-1 promotor, immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal cell nuclei.
DOI: 10.6084/m9.figshare.8023739.v1
title: CCDB_4057.jpg

description: Triple labeled confocal image of the neostriatum of a non-transgenic mouse, immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal nuclei.
DOI: 10.6084/m9.figshare.8023742.v1
title: CCDB_4058.jpg

description: Triple labeled confocal image of the dentate gyrus of a transgenic mouse engineered to overexpress alpha synuclein under the Thy-1 promotor, immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal nuclei.
DOI: 10.6084/m9.figshare.8023745.v1
title: CCDB_4059.jpg

description: Triple labeled confocal image of hippocampal area CA1 of a transgenic mouse engineered to overexpress alpha synuclein under the Thy-1 promotor, immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal cell nuclei.
DOI: 10.6084/m9.figshare.8023727
title: CCDB_4054.jpg

description: Triple labeled confocal image of the neostriatum of a non-transgenic mouse, immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal nuclei.
DOI: 10.6084/m9.figshare.8023730
title: CCDB_4055.jpg

description: Triple labeled confocal image of the cerebral cortex of a non-transgenic mouse, immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal cell nuclei.
DOI: 10.6084/m9.figshare.8023736.v1
title: CCDB_4056.jpg

description: Triple labeled confocal image of the cerebellar cortex of a non-transgenic mouse, immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal nuclei. The unevenness in staining likely represents unevenness in the section.
DOI: 10.6084/m9.figshare.8023721
title: CCDB_4053.jpg

description: Triple labeled confocal image of the cerebellum of a non-transgenic mouse, immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal nuclei. Staining of the granule cell layer appears to be uneven, likely due to unevenness in the section.
DOI: 10.6084/m9.figshare.8023727.v1
title: CCDB_4054.jpg

description: Triple labeled confocal image of the neostriatum of a non-transgenic mouse, immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal nuclei.
DOI: 10.6084/m9.figshare.8023718
title: CCDB_4052.jpg

description: Triple labeled confocal image of the cerebral cortex of a non-transgenic mouse, immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal nuclei. A control image in which the two primary antibodies are omitted is available for download but is not displayed. Some non-specific labeling is visible in the control image.
DOI: 10.6084/m9.figshare.8023715
title: CCDB_4051.jpg

description: Triple labeled confocal image of hippocampal ara CA3 of a non-transgenic mouse, immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal nuclei.
DOI: 10.6084/m9.figshare.8023730.v1
title: CCDB_4055.jpg

description: Triple labeled confocal image of the cerebral cortex of a non-transgenic mouse, immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal cell nuclei.
DOI: 10.6084/m9.figshare.8023694
title: CCDB_4049.jpg

description: Triple labeled confocal image of the dentate gyrus of a non-transgenic mouse, immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal nuclei.
DOI: 10.6084/m9.figshare.8023700
title: CCDB_4050.jpg

description: Triple labeled confocal image of hippocampal area CA1 of a non-transgenic mouse, immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal nuclei.
DOI: 10.6084/m9.figshare.8023715.v1
title: CCDB_4051.jpg

description: Triple labeled confocal image of hippocampal ara CA3 of a non-transgenic mouse, immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal nuclei.
DOI: 10.6084/m9.figshare.8023718.v1
title: CCDB_4052.jpg

description: Triple labeled confocal image of the cerebral cortex of a non-transgenic mouse, immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal nuclei. A control image in which the two primary antibodies are omitted is available for download but is not displayed. Some non-specific labeling is visible in the control image.
DOI: 10.6084/m9.figshare.8023721.v1
title: CCDB_4053.jpg

description: Triple labeled confocal image of the cerebellum of a non-transgenic mouse, immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal nuclei. Staining of the granule cell layer appears to be uneven, likely due to unevenness in the section.
DOI: 10.6084/m9.figshare.8023691
title: CCDB_4048.jpg

description: Triple labeled confocal image of the neostriatum of a transgenic mouse engineered to overexpress a mutant form of human alpha synuclein (A53T), immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal cell nuclei.
DOI: 10.6084/m9.figshare.8023682
title: CCDB_4046.jpg

description: Triple labeled confocal image of the cerebral cortex of a transgenic mouse engineered to overexpress a mutant form of human alpha synuclein (A53T), immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal nuclei.
DOI: 10.6084/m9.figshare.8023688
title: CCDB_4047.jpg

description: Triple labeled confocal image of the cerebellar cortex of a transgenic mouse engineered to overexpress a mutant form of human alpha synuclein (A53T), immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal nuclei.
DOI: 10.6084/m9.figshare.8023700.v1
title: CCDB_4050.jpg

description: Triple labeled confocal image of hippocampal area CA1 of a non-transgenic mouse, immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal nuclei.
DOI: 10.6084/m9.figshare.8023691.v1
title: CCDB_4048.jpg

description: Triple labeled confocal image of the neostriatum of a transgenic mouse engineered to overexpress a mutant form of human alpha synuclein (A53T), immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal cell nuclei.
DOI: 10.6084/m9.figshare.8023694.v1
title: CCDB_4049.jpg

description: Triple labeled confocal image of the dentate gyrus of a non-transgenic mouse, immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal nuclei.
DOI: 10.6084/m9.figshare.8023637
title: CCDB_4045.jpg

description: Triple labeled confocal image of hippocampal area CA3 of a transgenic mouse engineered to overexpress a mutant form of human alpha synuclein (A53T), immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal cell nuclei.
DOI: 10.6084/m9.figshare.8023682.v1
title: CCDB_4046.jpg

description: Triple labeled confocal image of the cerebral cortex of a transgenic mouse engineered to overexpress a mutant form of human alpha synuclein (A53T), immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal nuclei.
DOI: 10.6084/m9.figshare.8023688.v1
title: CCDB_4047.jpg

description: Triple labeled confocal image of the cerebellar cortex of a transgenic mouse engineered to overexpress a mutant form of human alpha synuclein (A53T), immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal nuclei.
DOI: 10.6084/m9.figshare.8023637.v1
title: CCDB_4045.jpg

description: Triple labeled confocal image of hippocampal area CA3 of a transgenic mouse engineered to overexpress a mutant form of human alpha synuclein (A53T), immunolabeled for mGluR5 (red), alpha synuclein (green) and counterstained with DAPI (blue) to reveal cell nuclei.
DOI: 10.25380/iastate.8023580
title: Shoot Apical Meristem (SAM) Diversity Panel Genetic Markers and Map

description: Imputed and phased single nucleotide polymorphisms (SNPs) for 370 maize inbred lines from the Shoot Apical Meristem (SAM) Diversity Panel. SNPs were derived from RNA-seq, genotyping-by-sequencing (GBS), and tunable GBS (tGBS). SNPs are in VCF4.1 format. A csv file contains genetic map information for the SNPs.
DOI: 10.5281/zenodo.3757940
title: Packages installed in Debian-based Docker images

description: This dataset comes with the replication package provided for a study that we carried out on packages installed in Docker images.<br> <br> <strong>Title of the study:</strong> ``A multi-dimensional analysis of technical lag in Debian-based Docker images"<br> <strong>Authors :</strong> Ahmed Zerouali (VUB, UMONS), Tom Mens (UMONS), Alexandre Decan (UMONS), Jesus Gonzalez-Barahona (URJC) and Gregorio Robles (URJC).<br> <strong>Journal</strong>: Empirical Software Engineering The replication package can be found in: https://github.com/neglectos/dockerhub_analysis/
DOI: 10.25380/iastate.8023580.v1
title: Shoot Apical Meristem (SAM) Diversity Panel Genetic Markers and Map

description: Imputed and phased single nucleotide polymorphisms (SNPs) for 370 maize inbred lines from the Shoot Apical Meristem (SAM) Diversity Panel. SNPs were derived from RNA-seq, genotyping-by-sequencing (GBS), and tunable GBS (tGBS). SNPs are in VCF4.1 format. A csv file contains genetic map information for the SNPs.
DOI: 10.5281/zenodo.3568160
title: Packages installed in Debian-based Docker images

description: This dataset comes with the replication package provided for a study that we carried out on packages installed in Docker images.<br> <br> <strong>Title of the study:</strong> ``A multi-dimensional analysis of technical lag in Debian-based Docker images"<br> <strong>Authors :</strong> Ahmed Zerouali (VUB, UMONS), Tom Mens (UMONS), Alexandre Decan (UMONS), Jesus Gonzalez-Barahona (URJC) and Gregorio Robles (URJC).<br> <strong>Journal</strong>: Empirical Software Engineering The replication package can be found in: https://github.com/neglectos/dockerhub_analysis/
DOI: 10.6084/m9.figshare.8023544
title: A new high-throughput screening method to determine multiple dyes in herbs and spices

description: The unauthorised addition of colours to herbs and spices is a recurrent issue affecting food business operators. Such a practice aims at improving food visual attractiveness, masking poor product quality, and/or compensating for natural colour variation with the ultimate goal to increase profits. To detect this fraud, a new LC–MS/MS method was developed for screening 58 dyes in both herbs and spices. This extended list of targets was established based on requirements from international spices organisations, past issues identified by web scouting and by notifications from the European Rapid Alert System for Food and Feed (RASFF). The method is intended to quickly detect fraudulent addition of dyes with Screening Target Concentrations ranging from 0.1 to 2.5 mg/kg. Validation was performed according to the European Community Reference Laboratories Residues Guidelines 20/1/2010. False positive and false negative rates were below 5% for all analytes and applicability of the method was further demonstrated by analysing 117 samples collected worldwide. None of the surveyed dyes was found in herbs (n = 28, 16 varieties) whereas 6% of spice samples (n = 89, 21 varieties) was found contaminated with one or two dyes at levels ranging from 0.12 to 255 mg/kg. Four out of the nine detected compounds have never been reported in the RASFF, thus demonstrating the usefulness of this analytical approach.
DOI: 10.6084/m9.figshare.8023565
title: Morphological data of Habia rubica

description: Data from individuals of Habia rubica. Three measures: wing length, tarsus length and tail length
DOI: 10.6084/m9.figshare.8023565.v1
title: Morphological data of Habia rubica

description: Data from individuals of Habia rubica. Three measures: wing length, tarsus length and tail length
DOI: 10.6084/m9.figshare.8023436
title: Transcriptomic Analysis of embryonic commissural neurons

description: Transcriptomic analysis of embryonic commissural neurons identifies preferentially expressed genes and reveals molecular heterogeneity
DOI: 10.6084/m9.figshare.8023385.v1
title: Demand Models with Random Partitions

description: Many economic models of consumer demand require researchers to partition sets of products or attributes prior to the analysis. These models are common in applied problems when the product space is large or spans multiple categories. While the partition is traditionally fixed a priori, we let the partition be a model parameter and propose a Bayesian method for inference. The challenge is that demand systems are commonly multivariate models that are not conditionally conjugate with respect to partition indices, precluding the use of Gibbs sampling. We solve this problem by constructing a new location-scale partition distribution that can generate random-walk Metropolis-Hastings proposals and also serve as a prior. Our method is illustrated in the context of a store-level category demand model where we find that allowing for partition uncertainty is important for preserving model flexibility, improving demand forecasts, and learning about the structure of demand.
DOI: 10.6084/m9.figshare.8023376.v1
title: Quantile Function on Scalar Regression Analysis for Distributional Data

description: Radiomics involves the study of tumor images to identify quantitative markers explaining cancer heterogeneity. The predominant approach is to extract hundreds to thousands of image features, including histogram features comprised of summaries of the marginal distribution of pixel intensities, which leads to multiple testing problems and can miss out on insights not contained in the selected features. In this paper, we present methods to model the entire marginal distribution of pixel intensities via the quantile function as functional data, regressed on a set of demographic, clinical, and genetic predictors to investigate their effects of imaging-based cancer heterogeneity. We call this approach <i>quantile functional regression</i>, regressing subject-specific marginal distributions across repeated measurements on a set of covariates, allowing us to assess which covariates are associated with the distribution in a global sense, as well as to identify distributional features characterizing these differences, including mean, variance, skewness, heavy-tailedness, and various upper and lower quantiles. To account for smoothness in the quantile functions, account for intrafunctional correlation, and gain statistical power, we introduce custom basis functions we call <i>quantlets</i> that are sparse, regularized, near-lossless, and empirically defined, adapting to the features of a given dataset and containing a Gaussian subspace so non-Gaussianness can be assessed. We fit this model using a Bayesian framework that uses nonlinear shrinkage of quantlet coefficients to regularize the functional regression coefficients and provides fully Bayesian inference after fitting a Markov chain Monte Carlo. We demonstrate the benefit of the basis space modeling through simulation studies, and apply the method to Magnetic resonance imaging (MRI)-based radiomic dataset from Glioblastoma Multiforme to relate imaging-based quantile functions to various demographic, clinical, and genetic predictors, finding specific differences in tumor pixel intensity distribution between males and females and between tumors with and without DDIT3 mutations. Supplementary materials for this article, including a standardized description of the materials available for reproducing the work, are available as an online supplement.
DOI: 10.6084/m9.figshare.8021141
title: Sample Size Considerations for a Phase III Clinical Trial with Diluted Treatment Effect

description: In clinical development of new drugs, investment increases over time—Phase III investment can be up to hundreds of millions of dollars. However, some drugs failed because the treatment effect in Phase III is diluted from Phase II. When this is the case, a few strategies can be contemplated by the project team develops this new drug. One is to increase sample size based on the uniform and truncated normal prior distribution. Another is to design the Phase III trials using the average success probability (ASP) approach. Finally, the numerical simulations are carried out to calculate the sample size for the Phase III clinical trial with diluted treatment effect.
DOI: 10.6084/m9.figshare.8021141.v1
title: Sample Size Considerations for a Phase III Clinical Trial with Diluted Treatment Effect

description: In clinical development of new drugs, investment increases over time—Phase III investment can be up to hundreds of millions of dollars. However, some drugs failed because the treatment effect in Phase III is diluted from Phase II. When this is the case, a few strategies can be contemplated by the project team develops this new drug. One is to increase sample size based on the uniform and truncated normal prior distribution. Another is to design the Phase III trials using the average success probability (ASP) approach. Finally, the numerical simulations are carried out to calculate the sample size for the Phase III clinical trial with diluted treatment effect.
DOI: 10.6084/m9.figshare.8021108
title: Kinematic analysis of motor learning in upper limb body-powered bypass prosthesis training

description: Kinematic data set generated by Vicon Plug-In Gait Model for the upper body. Subjects use a body-powered bypass prosthesis to complete the tBBT and JHFT after five training sessions (S1) and after ten training sessions (S2). <br>H_# indicates subject. Within Angles or Moments cells, entries are ordered by task and trial (1=tBBT stand trial 1, 2=tBBT stand trial 2, 3=JHFT 1 trial 1, 5=JHFT 2 trial 1, 15=JHFT 7 trial 1, 17=tBBT sit trial 1). Within task and trial cells are labeled by the joint. Within a joint cells are ordered in rows by segment of the task (tasks feature repetitive motions that are isolated as segments) and in columns by raw data, segmented data, and segmented and interpolated data. Data within these cells contain the kinematic data (X,Y,Z). See Vicon documentation for Plug-In Gait Model
DOI: 10.6084/m9.figshare.8021108.v1
title: Kinematic analysis of motor learning in upper limb body-powered bypass prosthesis training

description: Kinematic data set generated by Vicon Plug-In Gait Model for the upper body. Subjects use a body-powered bypass prosthesis to complete the tBBT and JHFT after five training sessions (S1) and after ten training sessions (S2). <br>H_# indicates subject. Within Angles or Moments cells, entries are ordered by task and trial (1=tBBT stand trial 1, 2=tBBT stand trial 2, 3=JHFT 1 trial 1, 5=JHFT 2 trial 1, 15=JHFT 7 trial 1, 17=tBBT sit trial 1). Within task and trial cells are labeled by the joint. Within a joint cells are ordered in rows by segment of the task (tasks feature repetitive motions that are isolated as segments) and in columns by raw data, segmented data, and segmented and interpolated data. Data within these cells contain the kinematic data (X,Y,Z). See Vicon documentation for Plug-In Gait Model
DOI: 10.6084/m9.figshare.8020973
title: Bayesian Approach for Assessing Non-Inferiority in Three-Arm Trials for Risk Ratio and Odds Ratio

description: In this article, we consider three-arm noninferiority (NI) trial that includes an experimental, a reference, and a placebo arm. While the risk difference (RD) is the most common and well-explored functional form for testing efficacy (or effectiveness), for binary outcomes, recent FDA guideline suggested other measures, such as relative risk (RR) and odds ratio (OR) on the basis of which NI can be claimed. However, developing test based on these different functions of binary outcomes are challenging since the construction and interpretation of NI margin for such functions are not trivial extensions of RD-based approach. Recently, we have proposed Frequentist approach for testing NI for these functionals. In this article, we further develop Bayesian approaches for testing NI based on effect retention approach for RR and OR. Bayesian paradigm provides a natural path to integrate historical trials’ information, as well as it allows using patients’/clinicians’ opinions as prior information via sequential learning. In addition we discuss, in detail, the sample size/power calculation which could be readily used while designing such trials in practice.