cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cctf0jr
title: CCDC 757284: Experimental Crystal Structure Determination

description: Related Article: W.Uhl, H.R.Bock, A.Hepp, F.Rogel, M.Voss|2010|Z.Anorg.Allg.Chem.|636|1255|doi:10.1002/zaac.200900561
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/cct0l8n
title: CCDC 745341: Experimental Crystal Structure Determination

description: Related Article: S.Krieck, H.Gorls, M.Westerhausen|2010|J.Am.Chem.Soc.|132|12492|doi:10.1021/ja105534w
description: Related Article: J.Langer, S.Krieck, R.Fischer, H.Gorls, M.Westerhausen|2010|Z.Anorg.Allg.Chem.|636|1190|doi:10.1002/zaac.201000008
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/cctf0ks
title: CCDC 757285: Experimental Crystal Structure Determination

description: Related Article: W.Uhl, H.R.Bock, A.Hepp, F.Rogel, M.Voss|2010|Z.Anorg.Allg.Chem.|636|1255|doi:10.1002/zaac.200900561
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.29867645
title: On the Poor Statistical Properties of the <i>P</i>-Curve Meta-Analytic Procedure

description: The <i>P</i>-curve is a widely used suite of meta-analytic tests advertised for detecting problems in sets of studies. They are based on nonparametric combinations of <i>p</i> values (e.g., Marden) across significant (<i>p</i> &lt; .05) studies and are variously claimed to detect “evidential value”, “lack of evidential value”, and “left skew” in <i>p</i> values. We show that these tests do not have the properties ascribed to them. Moreover, they fail basic desiderata for tests, including admissibility and monotonicity. In light of these serious problems, we recommend against the use of the <i>P</i>-curve tests. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.29867645.v1
title: On the poor statistical properties of the <i>P</i>-curve meta-analytic procedure

description: The <i>P</i>-curve (Simonsohn, Nelson, & Simmons, 2014; Simonsohn, Simmons, & Nelson, 2015) is a widely-used suite of meta-analytic tests advertised for detecting problems in sets of studies. They are based on nonparametric combinations of <i>p</i> values (e.g., Marden, 1985) across significant (<i>p</i> &lt; .05) studies and are variously claimed to detect “evidential value”, “lack of evidential value”, and “left skew” in <i>p</i> values. We show that these tests do not have the properties ascribed to them. Moreover, they fail basic desiderata for tests, including admissibility and monotonicity. In light of these serious problems, we recommend against the use of the <i>P</i>-curve tests.
DOI: 10.6084/m9.figshare.29867645.v2
title: On the Poor Statistical Properties of the <i>P</i>-Curve Meta-Analytic Procedure

description: The <i>P</i>-curve is a widely used suite of meta-analytic tests advertised for detecting problems in sets of studies. They are based on nonparametric combinations of <i>p</i> values (e.g., Marden) across significant (<i>p</i> &lt; .05) studies and are variously claimed to detect “evidential value”, “lack of evidential value”, and “left skew” in <i>p</i> values. We show that these tests do not have the properties ascribed to them. Moreover, they fail basic desiderata for tests, including admissibility and monotonicity. In light of these serious problems, we recommend against the use of the <i>P</i>-curve tests. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.5517/cctj05h
title: CCDC 760156: Experimental Crystal Structure Determination

description: Related Article: J.Langer, S.Krieck, R.Fischer, H.Gorls, M.Westerhausen|2010|Z.Anorg.Allg.Chem.|636|1190|doi:10.1002/zaac.201000008
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/cctj06j
title: CCDC 760157: Experimental Crystal Structure Determination

description: Related Article: J.Langer, S.Krieck, R.Fischer, H.Gorls, M.Westerhausen|2010|Z.Anorg.Allg.Chem.|636|1190|doi:10.1002/zaac.201000008
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.2.2.23601.45924
title: Bioethical aspects related to the administration of Surfacen® in the preterm newborn.(version en ingles)
DOI: 10.5517/cctj07k
title: CCDC 760158: Experimental Crystal Structure Determination

description: Related Article: J.Langer, S.Krieck, R.Fischer, H.Gorls, M.Westerhausen|2010|Z.Anorg.Allg.Chem.|636|1190|doi:10.1002/zaac.201000008
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/cctj08l
title: CCDC 760159: Experimental Crystal Structure Determination

description: Related Article: J.Langer, S.Krieck, R.Fischer, H.Gorls, M.Westerhausen|2010|Z.Anorg.Allg.Chem.|636|1190|doi:10.1002/zaac.201000008
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/cctj09m
title: CCDC 760160: Experimental Crystal Structure Determination

description: Related Article: J.Langer, S.Krieck, R.Fischer, H.Gorls, M.Westerhausen|2010|Z.Anorg.Allg.Chem.|636|1190|doi:10.1002/zaac.201000008
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.2.2.27454.97602
title: "Education for All Fundraising" Project using PostgreSQL and Excel
DOI: 10.5517/cctj0bn
title: CCDC 760161: Experimental Crystal Structure Determination

description: Related Article: J.Langer, S.Krieck, R.Fischer, H.Gorls, M.Westerhausen|2010|Z.Anorg.Allg.Chem.|636|1190|doi:10.1002/zaac.201000008
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/cctj0cp
title: CCDC 760162: Experimental Crystal Structure Determination

description: Related Article: J.Langer, S.Krieck, R.Fischer, H.Gorls, M.Westerhausen|2010|Z.Anorg.Allg.Chem.|636|1190|doi:10.1002/zaac.201000008
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.29847698
title: On Seeded Subgraph-to-Subgraph Matching: The ssSGM Algorithm and Matchability Information Theory

description: The subgraph-subgraph matching problem is, given a pair of graphs and a positive integer <i>K</i>, to find <i>K</i> vertices in the first graph, <i>K</i> vertices in the second graph, and a bijection between them, so as to minimize the number of adjacency disagreements across the bijection; it is “seeded” if some of this bijection is fixed. The problem is intractable, and we present the ssSGM algorithm, which uses Frank-Wolfe methodology to efficiently find an approximate solution. Then, in the context of a generalized correlated random Bernoulli graph model, in which the pair of graphs naturally have a core of <i>K</i> matched pairs of vertices, we provide and prove mild conditions for the subgraph-subgraph matching problem solution to almost always be the correct <i>K</i> matched pairs of vertices. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.30015487
title: Effective Permutation Tests for Differences Across Multiple High-Dimensional Correlation Matrices

description: Testing the equality of two or multiple correlation or covariance matrices is an important problem in biology, finance and many other areas. High dimensionality, where the number of features is much larger than the sample size, causes conventional procedures to perform poorly, as they are often based on limiting distributions of test statistics in the classical large sample size setting. Moreover, their performance is often contingent on whether the matrix of differences is sparse or dense, while such information is rarely available. In this article, we develop a new family of permutation testing procedures to tackle these challenges. The introduced tests are demonstrated to outperform many other competing procedures in terms of size control and power under various settings. In particular, using our variance-stabilizing transformation, the proposed methods provide the best performance for testing correlation or covariance matrix differences in both sparse and dense settings. We establish non-asymptotic guarantees on the power of our test, which ensure its reliability for sparse and dense differential correlation matrices. Through the analysis of gene-expression and brain imaging data, we showcase the high power and accurate size control of our test in high-dimensional statistical applications.
DOI: 10.5517/cctj0dq
title: CCDC 760163: Experimental Crystal Structure Determination

description: Related Article: J.Langer, S.Krieck, R.Fischer, H.Gorls, M.Westerhausen|2010|Z.Anorg.Allg.Chem.|636|1190|doi:10.1002/zaac.201000008
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/cctj0fr
title: CCDC 760164: Experimental Crystal Structure Determination

description: Related Article: J.Langer, S.Krieck, R.Fischer, H.Gorls, M.Westerhausen|2010|Z.Anorg.Allg.Chem.|636|1190|doi:10.1002/zaac.201000008
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.29847698.v3
title: On Seeded Subgraph-to-Subgraph Matching: The ssSGM Algorithm and Matchability Information Theory

description: The subgraph-subgraph matching problem is, given a pair of graphs and a positive integer <i>K</i>, to find <i>K</i> vertices in the first graph, <i>K</i> vertices in the second graph, and a bijection between them, so as to minimize the number of adjacency disagreements across the bijection; it is “seeded” if some of this bijection is fixed. The problem is intractable, and we present the ssSGM algorithm, which uses Frank-Wolfe methodology to efficiently find an approximate solution. Then, in the context of a generalized correlated random Bernoulli graph model, in which the pair of graphs naturally have a core of <i>K</i> matched pairs of vertices, we provide and prove mild conditions for the subgraph-subgraph matching problem solution to almost always be the correct <i>K</i> matched pairs of vertices. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.30015487.v1
title: Effective Permutation Tests for Differences Across Multiple High-Dimensional Correlation Matrices

description: Testing the equality of two or multiple correlation or covariance matrices is an important problem in biology, finance and many other areas. High dimensionality, where the number of features is much larger than the sample size, causes conventional procedures to perform poorly, as they are often based on limiting distributions of test statistics in the classical large sample size setting. Moreover, their performance is often contingent on whether the matrix of differences is sparse or dense, while such information is rarely available. In this article, we develop a new family of permutation testing procedures to tackle these challenges. The introduced tests are demonstrated to outperform many other competing procedures in terms of size control and power under various settings. In particular, using our variance-stabilizing transformation, the proposed methods provide the best performance for testing correlation or covariance matrix differences in both sparse and dense settings. We establish non-asymptotic guarantees on the power of our test, which ensure its reliability for sparse and dense differential correlation matrices. Through the analysis of gene-expression and brain imaging data, we showcase the high power and accurate size control of our test in high-dimensional statistical applications.
DOI: 10.5517/cctnf2y
title: CCDC 764400: Experimental Crystal Structure Determination

description: Related Article: M.Veith, A.Rammo, O.Schutt, V.Huch|2010|Z.Anorg.Allg.Chem.|636|1212|doi:10.1002/zaac.201000059
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/cctt7zt
title: CCDC 769047: Experimental Crystal Structure Determination

description: Related Article: F.Schurz, M.Jansen|2010|Z.Anorg.Allg.Chem.|636|1199|doi:10.1002/zaac.201000125
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.29847698.v2
title: On Seeded Subgraph-to-Subgraph Matching: The ssSGM Algorithm and Matchability Information Theory

description: The subgraph-subgraph matching problem is, given a pair of graphs and a positive integer <i>K</i>, to find <i>K</i> vertices in the first graph, <i>K</i> vertices in the second graph, and a bijection between them, so as to minimize the number of adjacency disagreements across the bijection; it is “seeded” if some of this bijection is fixed. The problem is intractable, and we present the ssSGM algorithm, which uses Frank-Wolfe methodology to efficiently find an approximate solution. Then, in the context of a generalized correlated random Bernoulli graph model, in which the pair of graphs naturally have a core of <i>K</i> matched pairs of vertices, we provide and prove mild conditions for the subgraph-subgraph matching problem solution to almost always be the correct <i>K</i> matched pairs of vertices. Supplementary materials for this article are available online.
DOI: 10.5517/cctjlws
title: CCDC 760736: Experimental Crystal Structure Determination

description: Related Article: B.P.Johnson, S.Almstatter, F.Dielmann, M.Bodensteiner, M.Scheer|2010|Z.Anorg.Allg.Chem.|636|1275|doi:10.1002/zaac.201000029
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/cctk7vf
title: CCDC 761355: Experimental Crystal Structure Determination

description: Related Article: D.Plaul, E.T.Spielberg, W.Plass|2010|Z.Anorg.Allg.Chem.|636|1268|doi:10.1002/zaac.201000075
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/cctjlxt
title: CCDC 760737: Experimental Crystal Structure Determination

description: Related Article: B.P.Johnson, S.Almstatter, F.Dielmann, M.Bodensteiner, M.Scheer|2010|Z.Anorg.Allg.Chem.|636|1275|doi:10.1002/zaac.201000029
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/cctjlyv
title: CCDC 760738: Experimental Crystal Structure Determination

description: Related Article: B.P.Johnson, S.Almstatter, F.Dielmann, M.Bodensteiner, M.Scheer|2010|Z.Anorg.Allg.Chem.|636|1275|doi:10.1002/zaac.201000029
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/cctjlzw
title: CCDC 760739: Experimental Crystal Structure Determination

description: Related Article: B.P.Johnson, S.Almstatter, F.Dielmann, M.Bodensteiner, M.Scheer|2010|Z.Anorg.Allg.Chem.|636|1275|doi:10.1002/zaac.201000029
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/cctjm0y
title: CCDC 760740: Experimental Crystal Structure Determination

description: Related Article: B.P.Johnson, S.Almstatter, F.Dielmann, M.Bodensteiner, M.Scheer|2010|Z.Anorg.Allg.Chem.|636|1275|doi:10.1002/zaac.201000029
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.2.2.15763.35367
title: Author Certificate
DOI: 10.5517/cctjm1z
title: CCDC 760741: Experimental Crystal Structure Determination

description: Related Article: B.P.Johnson, S.Almstatter, F.Dielmann, M.Bodensteiner, M.Scheer|2010|Z.Anorg.Allg.Chem.|636|1275|doi:10.1002/zaac.201000029
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/cctr4rf
title: CCDC 767025: Experimental Crystal Structure Determination

description: Related Article: Li Yong, M.B.Boeddinghaus, T.F.Fassler|2010|Z.Anorg.Allg.Chem.|636|1293|doi:10.1002/zaac.201000103
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
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.