cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.8072450.v1
title: CCDB_6289.jpg

description: Single aligned electron micrograph of a 0.25 um thick section from a serial section reconstruction of the cell body through a cortical pyramidal neuron from the brain of a patient with Alzheimer's disease.
DOI: 10.6084/m9.figshare.8072438
title: Dataset associated with "A genetically encoded probe for imaging nascent and mature HA-tagged proteins in vivo"

description: Here are the raw images and movies for the associated manuscript.<br>
DOI: 10.17608/k6.auckland.8072423
title: New Zealand grayling data

description: Data associated with Lee, F. & Perry, G.L.W. (2019). Assessing the role of off-take and source-sink dynamics in the extinction of the amphidromous New Zealand grayling (<i>Prototroctes oxyrhynchus</i>).
DOI: 10.6084/m9.figshare.8072444.v1
title: Dataset for: NMR metabolomics to study the metabolic response of human osteoblasts to non-poled and poled poly (L-lactic) acid

description: Untargeted Nuclear Magnetic Resonance (NMR) metabolomics was employed, for the first time to our knowledge, to characterize the metabolome of Human Osteoblast (HOb) cells and extracts in the presence of non-poled or negatively poled poly-L-lactic acid (PLLA). The metabolic response of these cells to this polymer, extensively used in bone regeneration strategies, may potentially translate into useful markers indicative of in vivo biomaterial performance. We present preliminary results of multivariate and univariate analysis of NMR spectra, which have shown the complementarity of lysed cells and extracts in terms of information on cell metabolome, and unveiled that, irrespective of poling state, PLLA-grown cells seem to experience enhanced oxidative stress and activated energy metabolism, at the cost of storage lipids and glucose. Possible changes in protein and nucleic acid metabolisms were also suggested, as well as enhanced membrane biosynthesis. Therefore, the presence of PLLA seems to trigger cell catabolism and anti-oxidative protective mechanisms in HOb cells, while directing them towards cellular growth. This was not sufficient, however, to lead to a visible cell proliferation enhancement in the presence of PLLA, although a qualitative tendency for negatively-poled PLLA to be more effective in sustaining cell growth than non-poled PLLA was suggested. These preliminary results indicate the potential of NMR metabolomics in enlightening cell metabolism in response to biomaterials and their properties, justifying further studies of the fine effects of poled PLLA on these and other cells of significance in tissue regeneration strategies.
DOI: 10.17608/k6.auckland.8072423.v1
title: New Zealand grayling data

description: Data associated with Lee, F. & Perry, G.L.W. (2019). Assessing the role of off-take and source-sink dynamics in the extinction of the amphidromous New Zealand grayling (<i>Prototroctes oxyrhynchus</i>).
DOI: 10.6084/m9.figshare.8072387
title: A review of evolutionary research on birds of the New Guinean savannas and closely associated habitats of riparian rainforests, mangroves and grasslands

description: SNP dataset for Melithreptus sp. supp file and associated metadata<br>
DOI: 10.6084/m9.figshare.8072387.v1
title: A review of evolutionary research on birds of the New Guinean savannas and closely associated habitats of riparian rainforests, mangroves and grasslands

description: SNP dataset for Melithreptus sp. supp file and associated metadata<br>
DOI: 10.6084/m9.figshare.8072360
title: Aberrantly plumaged orioles from the Trans-Fly savannas of New Guinea and their ecological and evolutionary significance

description: SNP dataset for Oriolus sp. and corresponding metadata.<br>
DOI: 10.6084/m9.figshare.8072360.v1
title: Aberrantly plumaged orioles from the Trans-Fly savannas of New Guinea and their ecological and evolutionary significance

description: SNP dataset for Oriolus sp. and corresponding metadata.<br>
DOI: 10.6084/m9.figshare.8072159
title: Telemetry shapefile for relocation data at Carrizo National Monument

description: A shapefile for geometric data associated with leopard lizard relocations at a desert in California.
DOI: 10.6084/m9.figshare.8072159.v1
title: Telemetry shapefile for relocation data at Carrizo National Monument

description: A shapefile for geometric data associated with leopard lizard relocations at a desert in California.
DOI: 10.6084/m9.figshare.8071508
title: Data 2 from Four-dimensional Fano quiver flag zero loci

description: Machine readable results from the computer search in the appendix (ambient quiver flag varieties)
DOI: 10.6084/m9.figshare.8071505
title: Read me file from Four-dimensional Fano quiver flag zero loci

description: A read me file with instructions for the machine readable results.
DOI: 10.6084/m9.figshare.8071499
title: Creative Commons Legal Code from Four-dimensional Fano quiver flag zero loci

description: Information about the license for the source code
DOI: 10.6084/m9.figshare.8071502
title: Data 1 from Four-dimensional Fano quiver flag zero loci

description: Machine readable results from the computer search in the appendix (quiver flag zero loci)
DOI: 10.6084/m9.figshare.8071508.v1
title: Data 2 from Four-dimensional Fano quiver flag zero loci

description: Machine readable results from the computer search in the appendix (ambient quiver flag varieties)
DOI: 10.6084/m9.figshare.8071499.v1
title: Creative Commons Legal Code from Four-dimensional Fano quiver flag zero loci

description: Information about the license for the source code
DOI: 10.6084/m9.figshare.8071502.v1
title: Data 1 from Four-dimensional Fano quiver flag zero loci

description: Machine readable results from the computer search in the appendix (quiver flag zero loci)
DOI: 10.6084/m9.figshare.8071505.v1
title: Read me file from Four-dimensional Fano quiver flag zero loci

description: A read me file with instructions for the machine readable results.
DOI: 10.6084/m9.figshare.8070995
title: Nye et al., DnmA methyltransferase

description: Mutation rate numbers calculations and equations for Table 1.Raw Spo0J-GFP foci count data supporting figure 4F
DOI: 10.6084/m9.figshare.12871771
title: Patient Data1 from Differential response to cytotoxic therapy explains treatment dynamics of acute myeloid leukaemia patients: insights from a mathematical modelling approach

description: Table of patient specific information
DOI: 10.6084/m9.figshare.12871771.v1
title: Patient Data1 from Differential response to cytotoxic therapy explains treatment dynamics of acute myeloid leukaemia patients: insights from a mathematical modelling approach

description: Table of patient specific information
DOI: 10.6084/m9.figshare.12871777
title: Patient Data2 from Differential response to cytotoxic therapy explains treatment dynamics of acute myeloid leukaemia patients: insights from a mathematical modelling approach

description: Table of NPM1/ABL measurements
DOI: 10.6084/m9.figshare.12871777.v1
title: Patient Data2 from Differential response to cytotoxic therapy explains treatment dynamics of acute myeloid leukaemia patients: insights from a mathematical modelling approach

description: Table of NPM1/ABL measurements
DOI: 10.6084/m9.figshare.8069372
title: 3D data

description: Images of the hilus region of the dentate gyrus in the mouse hippocampus were collected with a 40X oil objective on a Leica TCS SP8 confocal microscope (1024*1024pixels; $387.5*387.5mu)
DOI: 10.6084/m9.figshare.8069372.v2
title: 3D data

description: Images of the hilus region of the dentate gyrus in the mouse hippocampus were collected with a 40X oil objective on a Leica TCS SP8 confocal microscope (1024*1024pixels; $387.5*387.5mu)
DOI: 10.6084/m9.figshare.8069495.v1
title: A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis

description: Cortical surface fMRI (cs-fMRI) has recently grown in popularity versus traditional volumetric fMRI. In addition to offering better whole-brain visualization, dimension reduction, removal of extraneous tissue types, and improved alignment of cortical areas across subjects, it is also more compatible with common assumptions of Bayesian spatial models. However, as no spatial Bayesian model has been proposed for cs-fMRI data, most analyses continue to employ the classical general linear model (GLM), a “massive univariate” approach. Here, we propose a spatial Bayesian GLM for cs-fMRI, which employs a class of sophisticated spatial processes to model latent activation fields. We make several advances compared with existing spatial Bayesian models for volumetric fMRI. First, we use integrated nested Laplacian approximations (INLA), a highly accurate and efficient Bayesian computation technique, rather than variational Bayes (VB). To identify regions of activation, we utilize an excursions set method based on the joint posterior distribution of the latent fields, rather than the marginal distribution at each location. Finally, we propose the first multi-subject spatial Bayesian modeling approach, which addresses a major gap in the existing literature. The methods are very computationally advantageous and are validated through simulation studies and two task fMRI studies from the Human Connectome Project.
DOI: 10.6084/m9.figshare.8069372.v1
title: 3D data

description: Images of the hilus region of the dentate gyrus in the mouse hippocampus were collected with a 40X oil objective on a Leica TCS SP8 confocal microscope (1024*1024pixels; $387.5*387.5mu)
DOI: 10.6084/m9.figshare.8069309.v1
title: Robust Clustering with Subpopulation-specific Deviations

description: The National Birth Defects Prevention Study (NBDPS) is a case-control study of birth defects conducted across 10 U.S. states. Researchers are interested in characterizing the etiologic role of maternal diet, collected using a food frequency questionnaire. Because diet is multi-dimensional, dimension reduction methods such as cluster analysis are often used to summarize dietary patterns. In a large, heterogeneous population, traditional clustering methods, such as latent class analysis, used to estimate dietary patterns can produce a large number of clusters due to a variety of factors, including study size and regional diversity. These factors result in a loss of interpretability of patterns that may differ due to minor consumption changes. Based on adaptation of the local partition process, we propose a new method, Robust Profile Clustering, to handle these data complexities. Here, participants may be clustered at two levels: (1) globally, where women are assigned to an overall population-level cluster via an overfitted finite mixture model, and (2) locally, where regional variations in diet are accommodated via a beta-Bernoulli process dependent on subpopulation differences. We use our method to analyze the NBDPS data, deriving pre-pregnancy dietary patterns for women in the NBDPS while accounting for regional variability.
DOI: 10.6084/m9.figshare.8069315.v1
title: A Large-scale Constrained Joint Modeling Approach For Predicting User Activity, Engagement And Churn With Application To Freemium Mobile Games

description: We develop a Constrained Extremely Zero Inflated Joint (CEZIJ) modeling framework for simultaneously analyzing player activity, engagement and drop-outs (churns) in app-based mobile freemium games. Our proposed framework addresses the complex interdependencies between a player’s decision to use a freemium product, the extent of her direct and indirect engagement with the product and her decision to permanently drop its usage. CEZIJ extends the existing class of joint models for longitudinal and survival data in several ways. It not only accommodates extremely zero-inflated responses in a joint model setting but also incorporates domain-specific, convex structural constraints on the model parameters. Longitudinal data from app-based mobile games usually exhibit a large set of potential predictors and choosing the relevant set of predictors is highly desirable for various purposes including improved predictability. To achieve this goal, CEZIJ conducts simultaneous, coordinated selection of fixed and random effects in high-dimensional penalized generalized linear mixed models. For analyzing such large-scale datasets, variable selection and estimation is conducted via a distributed computing based split-and-conquer approach that massively increases scalability and provides better predictive performance over competing predictive methods. Our results reveal co-dependencies between varied player characteristics that promote player activity and engagement. Furthermore, the predicted churn probabilities exhibit idiosyncratic clusters of player profiles over time based on which marketers and game managers can segment the playing population for improved monetization of app-based freemium games.
DOI: 10.6084/m9.figshare.8069312.v1
title: Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes

description: Quantile and quantile effect functions are important tools for descriptive and causal analysis due to their natural and intuitive interpretation. Existing inference methods for these functions do not apply to discrete random variables. This paper offers a simple, practical construction of simultaneous confidence bands for quantile and quantile effect functions of possibly discrete random variables. It is based on a natural transformation of simultaneous confidence bands for distribution functions, which are readily available for many problems. The construction is generic and does not depend on the nature of the underlying problem. It works in conjunction with parametric, semiparametric, and nonparametric modeling methods for observed and counterfactual distributions, and does not depend on the sampling scheme. We apply our method to characterize the distributional impact of insurance coverage on health care utilization and obtain the distributional decomposition of the racial test score gap. We find that universal insurance coverage increases the number of doctor visits across the entire distribution, and that the racial test score gap is small at early ages but grows with age due to socio-economic factors especially at the top of the distribution. Supplementary materials (additional results, R package, replication files) for this article are available online.
DOI: 10.6084/m9.figshare.8069318.v1
title: GAP: A General Framework for Information Pooling in Two-Sample Sparse Inference

description: This paper develops a general framework for exploiting the sparsity information in two-sample multiple testing problems. We propose to first construct a covariate sequence, in addition to the usual primary test statistics, to capture the sparsity structure, and then incorporate the auxiliary covariates in inference via a three-step algorithm consisting of grouping, adjusting and pooling (GAP). The GAP procedure provides a simple and effective framework for information pooling. An important advantage of GAP is its capability of handling various dependence structures such as those arise from high-dimensional linear regression, differential correlation analysis, and differential network analysis. We establish general conditions under which GAP is asymptotically valid for false discovery rate control, and show that these conditions are fulfilled in a range of settings, including testing multivariate normal means, high-dimensional linear regression, differential covariance or correlation matrices, and Gaussian graphical models. Numerical results demonstrate that existing methods can be significantly improved by the proposed framework. The GAP procedure is illustrated using a breast cancer study for identifying gene-gene interactions.
DOI: 10.6084/m9.figshare.8069312.v2
title: Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes

description: Quantile and quantile effect (QE) functions are important tools for descriptive and causal analysis due to their natural and intuitive interpretation. Existing inference methods for these functions do not apply to discrete random variables. This article offers a simple, practical construction of simultaneous confidence bands for quantile and QE functions of possibly discrete random variables. It is based on a natural transformation of simultaneous confidence bands for distribution functions, which are readily available for many problems. The construction is generic and does not depend on the nature of the underlying problem. It works in conjunction with parametric, semiparametric, and nonparametric modeling methods for observed and counterfactual distributions, and does not depend on the sampling scheme. We apply our method to characterize the distributional impact of insurance coverage on health care utilization and obtain the distributional decomposition of the racial test score gap. We find that universal insurance coverage increases the number of doctor visits across the entire distribution, and that the racial test score gap is small at early ages but grows with age due to socio-economic factors especially at the top of the distribution. Supplementary materials (additional results, R package, replication files) for this article are available online.
DOI: 10.25934/00003620.0
title: Available IPD datapackage for study 'A Randomised, Double-blind, Placebo-controlled Parallel Group Efficacy and Safety Trial of BI 10773 (10 and 25 mg Administered Orally Once Daily) Over 24 Weeks in Patients With Type 2 Diabetes Mellitus With Insufficient Glycaemic Control Despite a Background Therapy of Pioglitazone Alone or in Combination With Metformin'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.17632/4rj7k22wh6.2
title: Data for: From deforestation to afforestation: Effect of slopeland use policies on land use/cover change in Taiwan

description: slopeland land-use change in Taiwan
DOI: 10.25934/00003620.1
title: IPD datapackage for study 'A Randomised, Double-blind, Placebo-controlled Parallel Group Efficacy and Safety Trial of BI 10773 (10 and 25 mg Administered Orally Once Daily) Over 24 Weeks in Patients With Type 2 Diabetes Mellitus With Insufficient Glycaemic Control Despite a Background Therapy of Pioglitazone Alone or in Combination With Metformin' and research request: 'Stratification of SGLT2 inhibitor glucose lowering therapy in Type 2 diabetes'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.17632/pyxd8t5js5.2
title: Data for: From deforestation to afforestation: Effect of slopeland use policies on land use/cover change in Taiwan

description: This data contains SPSS and GIS files, which regards the information of slopland in Taiwan.
DOI: 10.6084/m9.figshare.12668792
title: Metadata record for: A structured open dataset of government interventions in response to COVID-19

description: This dataset contains key characteristics about the data described in the Data Descriptor A structured open dataset of government interventions in response to COVID-19. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.12668792.v1
title: Metadata record for: A structured open dataset of government interventions in response to COVID-19

description: This dataset contains key characteristics about the data described in the Data Descriptor A structured open dataset of government interventions in response to COVID-19. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.8068937.v1
title: Rules of amino acid composition by which disordered regions adjust to high expression

description: The data submitted are analyzed in a manuscript submitted to <i>Journal of Molecular Biology</i> entitled "Rules of amino acid composition by which disordered regions adjust to high expression"<br><br>The data are in tabular format and correspond to amino-acid and protein levels of information for yeast and human proteome including: <br>- intrinsic disorder<br>- domains<br>- abundance<br>- hydrophobicity- aggregation propensities<br>- interaction propensity (stickiness)<br><br>
DOI: 10.6084/m9.figshare.8068937.v2
title: Protein abundance biases the amino-acid composition of disordered regions to minimize non-functional interactions

description: The data submitted are analyzed in a manuscript submitted to <i>Journal of Molecular Biology</i> entitled "Protein abundance biases the amino-acid composition of disordered regions to minimize non-functional interactions"<br><br>The data are in tabular format and correspond to amino-acid and protein levels of information for yeast and human proteome including: <br>- intrinsic disorder<br>- domains<br>- abundance<br>- hydrophobicity- aggregation propensities<br>- interaction propensity (stickiness)<br><br>
DOI: 10.6084/m9.figshare.8068715
title: Collection of raw data for Rezzoagli et.al. (2019) In vivo microscopy reveals the impact of Pseudomonas aeruginosa social interactions on host colonization

description: This is a collection of the raw data used to generate figures and analysis in the paper: Rezzoagli <i>et. al</i>, 2019. <i>In vivo </i>microscopy reveals the impact of <i>Pseudomonas aeruginosa</i> social interactions on host colonization. Published in The ISME Journal
DOI: 10.6084/m9.figshare.8068280
title: Juvenile cleaner fish can socially learn the consequences of cheating

description: Please refer to readme file.
DOI: 10.6084/m9.figshare.8068280.v1
title: Juvenile cleaner fish can socially learn the consequences of cheating

description: Please refer to readme file.
DOI: 10.6084/m9.figshare.8068262.v1
title: A novel noise-adapted two-layer ensemble model for credit scoring based on backflow learning

description: 在该实验中，研究了来自UCI机器学习库的两个信用数据集，即澳大利亚和日本信用数据集。这些数据集非常受欢迎，并被数据挖掘分析师广泛研究。澳大利亚信用数据集包含690个样本，其中307个为阳性，383个为阴性。除类标签之外的输入空间的维度为14，其中六个属性是连续的，八个是分类的。已经修改了分类属性的标签，以方便将来的计算。例如，仅包含三个不同标签的分类属性的标签被修改为“1”，“2”和“3”。 日本信用数据集包含690个样本，输入空间的维数为15.日本和澳大利亚数据集都相似，因为它们表现出类似的正负比和输入空间的相似维度。但是，日语信用数据集中的分类属性标签尚未修改。对于上述两个数据集，将排除所有属性的名称以保护客户的隐私信息。<br>