cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29828922.v2
title: The Effect of Alcohol Intake on Brain White Matter Microstructural Integrity: A New Causal Inference Framework for Incomplete Phenomic Data

description: Although substance use, such as alcohol intake, is known to be associated with cognitive decline during aging, its direct influence on the central nervous system remains incompletely understood. In this study, we investigate the influence of alcohol intake frequency on reduction of brain white matter microstructural integrity in the fornix, a brain region considered a promising marker of age-related microstructural degeneration, using a large UK Biobank (UKB) cohort with extensive phenomic data reflecting a comprehensive lifestyle profile. Two major challenges arise: (a) potentially nonlinear confounding effects from phenomic variables and (b) a limited proportion of participants with complete phenomic data. To address these challenges, we develop a novel ensemble learning framework tailored for robust causal inference and introduce a data integration step to incorporate information from UKB participants with incomplete phenomic data, improving estimation efficiency. Our analysis reveals that daily alcohol intake may significantly reduce fractional anisotropy, a neuroimaging-derived measure of white matter structural integrity, in the fornix and increase systolic and diastolic blood pressure levels. Moreover, extensive numerical studies demonstrate the superiority of our method over competing approaches in terms of estimation bias, while outcome regression-based estimators may be preferred when minimizing mean squared error is prioritized. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.13140/rg.2.2.11464.19208
title: Criminal Drug Violations U.S. District Court AL S.D. 1960-1980 Case Data V2.2
DOI: 10.5517/cctm7qc
title: CCDC 763273: Experimental Crystal Structure Determination

description: Related Article: T.W.T.Muesmann, A.Mietrach, J.Christoffers, M.S.Wickleder|2010|Z.Anorg.Allg.Chem.|636|1307|doi:10.1002/zaac.201000056
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cctzdrx
title: CCDC 774000: Experimental Crystal Structure Determination

description: Related Article: A.Zurawski, F.Hintze, K.Muller-Buschbaum|2010|Z.Anorg.Allg.Chem.|636|1333|doi:10.1002/zaac.201000053
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.29828922.v1
title: The Effect of Alcohol intake on Brain White Matter Microstructural Integrity: A New Causal Inference Framework for Incomplete Phenomic Data

description: Although substance use, such as alcohol intake, is known to be associated with cognitive decline during aging, its direct influence on the central nervous system remains incompletely understood. In this study, we investigate the influence of alcohol intake frequency on reduction of brain white matter microstructural integrity in the fornix, a brain region considered a promising marker of age-related microstructural degeneration, using a large UK Biobank (UKB) cohort with extensive phenomic data reflecting a comprehensive lifestyle profile. Two major challenges arise: 1) potentially nonlinear confounding effects from phenomic variables and 2) a limited proportion of participants with complete phenomic data. To address these challenges, we develop a novel ensemble learning framework tailored for robust causal inference and introduce a data integration step to incorporate information from UKB participants with incomplete phenomic data, improving estimation efficiency. Our analysis reveals that daily alcohol intake may significantly reduce fractional anisotropy, a neuroimaging-derived measure of white matter structural integrity, in the fornix and increase systolic and diastolic blood pressure levels. Moreover, extensive numerical studies demonstrate the superiority of our method over competing approaches in terms of estimation bias, while outcome regression-based estimators may be preferred when minimizing mean squared error is prioritized.
DOI: 10.13140/rg.2.2.28031.69287
title: Geological maps (Ain Naga, Branis, Chetma, El Feidh, El Haouch) Biskra region - Algeria
DOI: 10.5517/cct92rx
title: CCDC 753509: Experimental Crystal Structure Determination

description: Related Article: R.Menzel, E.Tauscher, D.Weiss, R.Beckert, H.Goerls|2010|Z.Anorg.Allg.Chem.|636|1380|doi:10.1002/zaac.200900523
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cctd5y9
title: CCDC 756491: Experimental Crystal Structure Determination

description: Related Article: S.K.Mallissery, M.Nieger, D.Gudat|2010|Z.Anorg.Allg.Chem.|636|1354|doi:10.1002/zaac.200900545
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.29723099
title: Inference for Low-Rank Models Without Estimating the Rank

description: This article studies the inference about linear functionals of high-dimensional low-rank matrices. While most existing inference methods would require consistent estimation of the true rank, our procedure is robust to rank misspecification, making it a promising approach in applications where rank estimation can be unreliable. We estimate the low-rank spaces using pre-specified weighting matrices, known as diversified projections. A novel statistical insight is that, unlike the usual statistical wisdom that overfitting mainly introduces additional variances, the over-estimated low-rank space also gives rise to a non-negligible bias due to an implicit ridge-type regularization. We develop a new inference procedure and show that the central limit theorem holds as long as the pre-specified rank is no smaller than the true rank. In one of our applications, we study multiple testing with incomplete data in the presence of confounding factors and show that our method remains valid as long as the number of controlled confounding factors is at least as large as the true number, even when no confounding factors are present. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.5517/cctdy26
title: CCDC 757208: Experimental Crystal Structure Determination

description: Related Article: S.Burck, M.Nieger, D.Gudat|2010|Z.Anorg.Allg.Chem.|636|1263|doi:10.1002/zaac.200900564
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.29723099.v2
title: Inference for Low-Rank Models Without Estimating the Rank

description: This article studies the inference about linear functionals of high-dimensional low-rank matrices. While most existing inference methods would require consistent estimation of the true rank, our procedure is robust to rank misspecification, making it a promising approach in applications where rank estimation can be unreliable. We estimate the low-rank spaces using pre-specified weighting matrices, known as diversified projections. A novel statistical insight is that, unlike the usual statistical wisdom that overfitting mainly introduces additional variances, the over-estimated low-rank space also gives rise to a non-negligible bias due to an implicit ridge-type regularization. We develop a new inference procedure and show that the central limit theorem holds as long as the pre-specified rank is no smaller than the true rank. In one of our applications, we study multiple testing with incomplete data in the presence of confounding factors and show that our method remains valid as long as the number of controlled confounding factors is at least as large as the true number, even when no confounding factors are present. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.5517/cctdy37
title: CCDC 757209: Experimental Crystal Structure Determination

description: Related Article: S.Burck, M.Nieger, D.Gudat|2010|Z.Anorg.Allg.Chem.|636|1263|doi:10.1002/zaac.200900564
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cctdy48
title: CCDC 757210: Experimental Crystal Structure Determination

description: Related Article: S.Burck, M.Nieger, D.Gudat|2010|Z.Anorg.Allg.Chem.|636|1263|doi:10.1002/zaac.200900564
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.29723099.v1
title: Inference for Low-rank Models without Estimating the Rank

description: This paper studies the inference about linear functionals of high-dimensional low-rank matrices. While most existing inference methods would require consistent estimation of the true rank, our procedure is robust to rank misspecification, making it a promising approach in applications where rank estimation can be unreliable. We estimate the low-rank spaces using pre-specified weighting matrices, known as diversified projections. A novel statistical insight is that, unlike the usual statistical wisdom that overfitting mainly introduces additional variances, the over-estimated low-rank space also gives rise to a non-negligible bias due to an implicit ridge-type regularization. We develop a new inference procedure and show that the central limit theorem holds as long as the pre-specified rank is no smaller than the true rank. In one of our applications, we study multiple testing with incomplete data in the presence of confounding factors and show that our method remains valid as long as the number of controlled confounding factors is at least as large as the true number, even when no confounding factors are present.
DOI: 10.13140/rg.2.2.19862.63047
title: Csanady - teriofaunisticke pozorovania (2022)
DOI: 10.5517/ccsl4q6
title: CCDC 732428: Experimental Crystal Structure Determination

description: Related Article: Zilu Chen, Wei Xiong, Zhong Zhang, Fupei Liang|2010|Z.Anorg.Allg.Chem.|636|1392|doi:10.1002/zaac.200900452
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cct03nk
title: CCDC 744888: Experimental Crystal Structure Determination

description: Related Article: Wen Wu Sun, Shi Rong Li, Hong Zhou, Zhi Quan Pan, Qi Mao Huang, Xue Lei Hu|2010|Z.Anorg.Allg.Chem.|636|1386|doi:10.1002/zaac.200900451
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccs0wc0
title: CCDC 715832: Experimental Crystal Structure Determination

description: Related Article: Gao Zhang, Jian Lin, Dong-Wei Guo, Shi-Yan Yao, Yun-Qi Tian|2010|Z.Anorg.Allg.Chem.|636|1401|doi:10.1002/zaac.200900457
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccsl4r7
title: CCDC 732429: Experimental Crystal Structure Determination

description: Related Article: Zilu Chen, Wei Xiong, Zhong Zhang, Fupei Liang|2010|Z.Anorg.Allg.Chem.|636|1392|doi:10.1002/zaac.200900452
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.29881983
title: A Bayesian Nonparametric Approach to Mediation and Spillover Effects with Multiple Mediators in Cluster-Randomized Trials

description: Cluster randomized trials (CRTs) with multiple unstructured mediators present significant methodological challenges for causal inference due to within-cluster correlation, interference among units, and the complexity introduced by multiple mediators. Existing causal mediation methods often fall short in simultaneously addressing these complexities, particularly in disentangling mediator-specific effects under interference that are central to studying complex mechanisms. To address this gap, we propose new causal estimands for spillover mediation effects that differentiate the roles of each individual’s own mediator and the spillover effects resulting from interactions among individuals within the same cluster. We establish identification results for each estimand and, to flexibly model the complex data structures inherent in CRTs, we develop a new Bayesian nonparametric prior—the Nested Dependent Dirichlet Process Mixture—designed to flexibly capture the outcome and mediator surfaces at different levels. We conduct extensive simulations across various scenarios to evaluate the frequentist performance of our methods, compare them with a Bayesian parametric counterpart and illustrate our new methods in an analysis of a completed CRT. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.5517/cctgqyx
title: CCDC 758940: Experimental Crystal Structure Determination

description: Related Article: J.Schnodt, R.F.Winter, M.Zabel|2010|Z.Anorg.Allg.Chem.|636|1242|doi:10.1002/zaac.200900588
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cctgr00
title: CCDC 758942: Experimental Crystal Structure Determination

description: Related Article: J.Schnodt, R.F.Winter, M.Zabel|2010|Z.Anorg.Allg.Chem.|636|1242|doi:10.1002/zaac.200900588
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.29881983.v1
title: A Bayesian nonparametric approach to mediation and spillover effects with multiple mediators in cluster-randomized trials

description: Cluster randomized trials (CRTs) with multiple unstructured mediators present significant methodological challenges for causal inference due to within-cluster correlation, interference among units, and the complexity introduced by multiple mediators. Existing causal mediation methods often fall short in simultaneously addressing these complexities, particularly in disentangling mediator-specific effects under interference that are central to studying complex mechanisms. To address this gap, we propose new causal estimands for spillover mediation effects that differentiate the roles of each individual’s own mediator and the spillover effects resulting from interactions among individuals within the same cluster. We establish identification results for each estimand and, to flexibly model the complex data structures inherent in CRTs, we develop a new Bayesian nonparametric prior—the Nested Dependent Dirichlet Process Mixture—designed for flexibly capture the outcome and mediator surfaces at different levels. We conduct extensive simulations across various scenarios to evaluate the frequentist performance of our methods, compare them with a Bayesian parametric counterpart and illustrate our new methods in an analysis of a completed CRT.
DOI: 10.6084/m9.figshare.29881983.v2
title: A Bayesian Nonparametric Approach to Mediation and Spillover Effects with Multiple Mediators in Cluster-Randomized Trials

description: Cluster randomized trials (CRTs) with multiple unstructured mediators present significant methodological challenges for causal inference due to within-cluster correlation, interference among units, and the complexity introduced by multiple mediators. Existing causal mediation methods often fall short in simultaneously addressing these complexities, particularly in disentangling mediator-specific effects under interference that are central to studying complex mechanisms. To address this gap, we propose new causal estimands for spillover mediation effects that differentiate the roles of each individual’s own mediator and the spillover effects resulting from interactions among individuals within the same cluster. We establish identification results for each estimand and, to flexibly model the complex data structures inherent in CRTs, we develop a new Bayesian nonparametric prior—the Nested Dependent Dirichlet Process Mixture—designed to flexibly capture the outcome and mediator surfaces at different levels. We conduct extensive simulations across various scenarios to evaluate the frequentist performance of our methods, compare them with a Bayesian parametric counterpart and illustrate our new methods in an analysis of a completed CRT. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.13140/rg.2.2.24161.79204
title: Csarnok area tree pits
DOI: 10.5517/ccrrqqx
title: CCDC 708000: Experimental Crystal Structure Determination

description: Related Article: Chi-Shing Guo, Chia-Ming Weng, Fung-E Hong|2010|Eur.J.Inorg.Chem.|2010|3220|doi:10.1002/ejic.201000271
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccvdstt
title: CCDC 786867: Experimental Crystal Structure Determination

description: Related Article: Cai-Hong Zhan, Yun-Long Feng|2010|J.Solid State Chem.|183|1226|doi:10.1016/j.jssc.2010.03.034
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccrrqry
title: CCDC 708001: Experimental Crystal Structure Determination

description: Related Article: Chi-Shing Guo, Chia-Ming Weng, Fung-E Hong|2010|Eur.J.Inorg.Chem.|2010|3220|doi:10.1002/ejic.201000271
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccrrqsz
title: CCDC 708002: Experimental Crystal Structure Determination

description: Related Article: Chi-Shing Guo, Chia-Ming Weng, Fung-E Hong|2010|Eur.J.Inorg.Chem.|2010|3220|doi:10.1002/ejic.201000271
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cctc7jx
title: CCDC 755579: Experimental Crystal Structure Determination

description: Related Article: P.G.Waddell, A.M.Z.Slawin, N.Sieffert, M.Buhl, J.D.Woollins|2010|Eur.J.Inorg.Chem.|2010|3185|doi:10.1002/ejic.201000329
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cctc7ky
title: CCDC 755580: Experimental Crystal Structure Determination

description: Related Article: P.G.Waddell, A.M.Z.Slawin, N.Sieffert, M.Buhl, J.D.Woollins|2010|Eur.J.Inorg.Chem.|2010|3185|doi:10.1002/ejic.201000329
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.13140/rg.2.2.17922.76480
title: Victoria Fauna Species Fire Vulnerability Ratings at 2014