cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2dnld2
title: CCDC 2224324: Experimental Crystal Structure Determination

description: Related Article: Wen-Qiang Li, Qiu-Yue Pan, Qing-Ling Ni, Shi-Ming Li, Liu-Cheng Gui, Xiu-Jian Wang|2023|Cryst.Growth Des.|23|4313|doi:10.1021/acs.cgd.3c00115
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/ccdc.csd.cc2dnl4t
title: CCDC 2224316: Experimental Crystal Structure Determination

description: Related Article: Wen-Qiang Li, Qiu-Yue Pan, Qing-Ling Ni, Shi-Ming Li, Liu-Cheng Gui, Xiu-Jian Wang|2023|Cryst.Growth Des.|23|4313|doi:10.1021/acs.cgd.3c00115
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/ccdc.csd.cc2dnlg4
title: CCDC 2224326: Experimental Crystal Structure Determination

description: Related Article: Wen-Qiang Li, Qiu-Yue Pan, Qing-Ling Ni, Shi-Ming Li, Liu-Cheng Gui, Xiu-Jian Wang|2023|Cryst.Growth Des.|23|4313|doi:10.1021/acs.cgd.3c00115
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/ccdc.csd.cc2flvfb
title: CCDC 2252442: Experimental Crystal Structure Determination

description: Related Article: Florian Racher, Tom L. Petrick, Doris E. Braun|2023|Cryst.Growth Des.|23|4638|doi:10.1021/acs.cgd.3c00387
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/ccdc.csd.cc2flvgc
title: CCDC 2252443: Experimental Crystal Structure Determination

description: Related Article: Florian Racher, Tom L. Petrick, Doris E. Braun|2023|Cryst.Growth Des.|23|4638|doi:10.1021/acs.cgd.3c00387
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.22644256.v1
title: FullTable.xlsx

description: mus muscus mice with TNBC which was treated with morphine. The morphine usage promote tumor growth and metastasis
DOI: 10.25345/c5m03xz5c
title: MassIVE Reanalysis RMSV000000354.5318 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, LSM6 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.5281/zenodo.6246634
title: MetaCOXI: An integrated collection of metazoan cytochrome oxidase subunit-I DNA sequences

description: <strong>MetaCOXI Sequences in fasta format</strong> This collection is based on the integration of the European Nucleotide Archive (ENA, release 142) and the Barcode of Life Data Systems (BOLD: http://www.boldsystems.org/) data. <strong>CONTENT: </strong>Currently it contains 5,608,848 entries of metazoan COXI sequences and their corresponding taxonomic classification and metadata. MetaCOXI_Seqs_1.tar.gz contains the full sequence collection in 'fasta' format. MetaCOXI_Taxonomy_Metadata.tar.gz contains the entries-associated taxonomy path and additional metadata Taxonomic path are provided for the following seven levels with their NCBI-TaxIDs: Kingdom, Phylum, Class, Order, Family, Genus, Species. For additional information visit: https://github.com/bachob5/MetaCOXI
DOI: 10.5281/zenodo.5914194
title: MetaCOXI: An integrated collection of metazoan cytochrome oxidase subunit-I DNA sequences

description: <strong>MetaCOXI Sequences in fasta format</strong> This collection is based on the integration of the European Nucleotide Archive (ENA, release 142) and the Barcode of Life Data Systems (BOLD: http://www.boldsystems.org/) data. <strong>CONTENT: </strong>Currently it contains 5,608,848 entries of metazoan COXI sequences and their corresponding taxonomic classification and metadata. MetaCOXI_Seqs_1.tar.gz contains the full sequence collection in 'fasta' format. MetaCOXI_Taxonomy_Metadata.tar.gz contains the entries-associated taxonomy path and additional metadata Taxonomic path are provided for the following seven levels with their NCBI-TaxIDs: Kingdom, Phylum, Class, Order, Family, Genus, Species. For additional information visit: https://github.com/bachob5/MetaCOXI
DOI: 10.25345/c5gb1xj20
title: MassIVE Reanalysis RMSV000000354.5323 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, FOXD4L6 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5bk16q93
title: MassIVE Reanalysis RMSV000000354.5320 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, KCNC4 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.5517/ccdc.csd.cc26jt0l
title: CCDC 2041939: Experimental Crystal Structure Determination

description: Related Article: Zhenlin Li, Nan Yao, Hexiu Liu, Jing Zhou, Cong Zhang, Songlin Li, Shihui Qian, Chunfeng Zhang, Zhonglin Yang|2022|Fitoterapia|158|105126|doi:10.1016/j.fitote.2022.105126
DOI: 10.5517/ccdc.csd.cc26jt1m
title: CCDC 2041940: Experimental Crystal Structure Determination

description: Related Article: Zhenlin Li, Nan Yao, Hexiu Liu, Jing Zhou, Cong Zhang, Songlin Li, Shihui Qian, Chunfeng Zhang, Zhonglin Yang|2022|Fitoterapia|158|105126|doi:10.1016/j.fitote.2022.105126
DOI: 10.5517/ccdc.csd.cc26jt2n
title: CCDC 2041941: Experimental Crystal Structure Determination

description: Related Article: Zhenlin Li, Nan Yao, Hexiu Liu, Jing Zhou, Cong Zhang, Songlin Li, Shihui Qian, Chunfeng Zhang, Zhonglin Yang|2022|Fitoterapia|158|105126|doi:10.1016/j.fitote.2022.105126
DOI: 10.5517/ccdc.csd.cc26jt3p
title: CCDC 2041942: Experimental Crystal Structure Determination

description: Related Article: Zhenlin Li, Nan Yao, Hexiu Liu, Jing Zhou, Cong Zhang, Songlin Li, Shihui Qian, Chunfeng Zhang, Zhonglin Yang|2022|Fitoterapia|158|105126|doi:10.1016/j.fitote.2022.105126
DOI: 10.5517/ccdc.csd.cc26jt4q
title: CCDC 2041943: Experimental Crystal Structure Determination

description: Related Article: Zhenlin Li, Nan Yao, Hexiu Liu, Jing Zhou, Cong Zhang, Songlin Li, Shihui Qian, Chunfeng Zhang, Zhonglin Yang|2022|Fitoterapia|158|105126|doi:10.1016/j.fitote.2022.105126
DOI: 10.5517/ccdc.csd.cc26jt5r
title: CCDC 2041944: Experimental Crystal Structure Determination

description: Related Article: Zhenlin Li, Nan Yao, Hexiu Liu, Jing Zhou, Cong Zhang, Songlin Li, Shihui Qian, Chunfeng Zhang, Zhonglin Yang|2022|Fitoterapia|158|105126|doi:10.1016/j.fitote.2022.105126
DOI: 10.25345/c56t0gx5z
title: MassIVE Reanalysis RMSV000000354.5324 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CLMP [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5319s40h
title: MassIVE Reanalysis RMSV000000354.5321 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ASCC2 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5z892g5w
title: MassIVE Reanalysis RMSV000000354.5294 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, P2RY12 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5th8bp27
title: MassIVE Reanalysis RMSV000000354.5322 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, FKBP14 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5pv6b80b
title: MassIVE Reanalysis RMSV000000354.5326 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, MESP2 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.6084/m9.figshare.19222785
title: Tabla 1. Relacion objetivos, preguntas de inv. y categorías respuesta.pdf

description: Tabla que relaciona objetivos y preguntas
DOI: 10.25345/c5k35mf7c
title: MassIVE Reanalysis RMSV000000354.5327 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, GAMT [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.5281/zenodo.6242918
title: data related to article "Myoclonic status epilepticus and cerebellar hypoplasia associated with a novel variant in the GRIA3 gene"

description: Clinical data of patient followed in the study mentioned at title
DOI: 10.5281/zenodo.6242917
title: data related to article "Myoclonic status epilepticus and cerebellar hypoplasia associated with a novel variant in the GRIA3 gene"

description: Clinical data of patient followed in the study mentioned at title
DOI: 10.25345/c5fb4wn4q
title: MassIVE Reanalysis RMSV000000354.5328 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, AIRE [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.6084/m9.figshare.19216755
title: Air Quality Data from the Spanish University Admission Exams in June 2021 at the University of A Coruña

description: This is the dataset of the Aranet4 sensors data (CO<sub>2</sub>, humidity, atmospheric pressure, and temperature) captured in the university admission exams in June 2021 at the University of A Coruña (UDC), Spain.<br>The file abau_udc_sensors_data.zip contains the actual data files of the dataset.The file abau_udc_sensors_doc.pdf is the documentation of the dataset.<br>The authors are with the CITIC Research Center, Department of Computer Engineering, University of A Coruña, 15071, A Coruña, Spain.<br><br>
DOI: 10.6084/m9.figshare.19216755.v2
title: Air Quality Data from the Spanish University Admission Exams in June 2021 at the University of A Coruña

description: This is the dataset of the Aranet4 sensors data (CO<sub>2</sub>, humidity, atmospheric pressure, and temperature) captured in the university admission exams in June 2021 at the University of A Coruña (UDC), Spain.<br>The file abau_udc_sensors_data.zip contains the actual data files of the dataset.The file abau_udc_sensors_doc.pdf is the documentation of the dataset.<br>The authors are with the CITIC Research Center, Department of Computer Engineering, University of A Coruña, 15071, A Coruña, Spain.<br><br>
DOI: 10.6084/m9.figshare.19216755.v1
title: Air Quality Data from the Spanish University Admission Exams in June 2021 at the University of A Coruña

description: This is the dataset of the Aranet4 sensors data (CO<sub>2</sub>, humidity, atmospheric pressure, and temperature) captured in the university admission exams in June 2021 at the University of A Coruña (UDC), Spain.<br>The file abau_udc_sensors_data.zip contains the actual data files of the dataset.The file abau_udc_sensors_doc.pdf is the documentation of the dataset.<br>The authors are with the CITIC Research Center, Department of Computer Engineering, University of A Coruña, 15071, A Coruña, Spain.<br><br>
DOI: 10.6084/m9.figshare.19089893
title: Supplementary material for Forthman, M., Lara, R., Meeds, A.W., Rider, D.A. 2022. First record of Pellaea stictica (Dallas, 1851) (Hemiptera: Heteroptera: Pentatomidae) in California, U.S.A. Pan-Pac. Entomol., 98: 76–80.

description: This supplementary provides iNaturalist observational data for Pellaea stictica in California, including distributional and plant association data, that were used in this study. If using this data, cite:<br>Forthman, M., Lara, R., Meeds, A.W., Rider, D.A. 2022. First record of <i>Pellaea stictica</i> (Dallas, 1851) (Hemiptera: Heteroptera: Pentatomidae) in California, U.S.A. <i>Pan-Pac. Entomol</i>., 98: 76–80.<br>
DOI: 10.6084/m9.figshare.19089893.v1
title: Supplementary material for Forthman, M., Lara, R., Meeds, A.W., Rider, D.A. 2022. First record of Pellaea stictica (Dallas, 1851) (Hemiptera: Heteroptera: Pentatomidae) in California, U.S.A. Pan-Pac. Entomol., 98: 76–80.

description: This supplementary provides iNaturalist observational data for Pellaea stictica in California, including distributional and plant association data, that were used in this study. If using this data, cite:<br>Forthman, M., Lara, R., Meeds, A.W., Rider, D.A. 2022. First record of <i>Pellaea stictica</i> (Dallas, 1851) (Hemiptera: Heteroptera: Pentatomidae) in California, U.S.A. <i>Pan-Pac. Entomol</i>., 98: 76–80.<br>
DOI: 10.25345/c59k45v0z
title: MassIVE Reanalysis RMSV000000354.5330 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, NFKBID [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c55t3g154
title: MassIVE Reanalysis RMSV000000354.5332 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, UTP6 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.6084/m9.figshare.16623070
title: On the Power of the <i>F</i>-test for Hypotheses in a Linear Model

description: We improve students’ understanding of the <i>F</i>-test for linear hypotheses in a linear model by explaining elements that affect the power of the test. Including true restrictions in a joint null hypothesis affects test power in a way that is not generally known. Asking a student whether including the true restrictions in the null hypothesis will increase or decrease power, the student is likely to say: “I don’t know.” The student’s answer is not bad because the power depends on the noncentrality parameter and the degrees of freedom. We show that adding true restrictions to a linear hypothesis cannot decrease the noncentrality parameter of the <i>F</i>-statistic, a result many will find counterintuitive. Adding true restrictions can increase or decrease <i>F</i>-test power depending on the offsetting negative effect of reducing the numerator degrees of freedom. We provide illustrative examples of these results and prove them for the general case.
DOI: 10.6084/m9.figshare.16623070.v1
title: On the Power of the <i>F</i>-test for Hypotheses in a Linear Model

description: We improve students’ understanding of the <i>F</i>-test for linear hypotheses in a linear model by explaining elements that affect the power of the test. Including true restrictions in a joint null hypothesis affects test power in a way that is not generally known. Asking a student whether including the true restrictions in the null hypothesis will increase or decrease power, the student is likely to say: “I don’t know.” The student’s answer is not bad because the power depends on the noncentrality parameter and the degrees of freedom. We show that adding true restrictions to a linear hypothesis cannot decrease the noncentrality parameter of the <i>F</i>-statistic, a result many will find counterintuitive. Adding true restrictions can increase or decrease <i>F</i>-test power depending on the offsetting negative effect of reducing the numerator degrees of freedom. We provide illustrative examples of these results and prove them for the general case.
DOI: 10.6084/m9.figshare.14885533.v1
title: Reconstructing the Kaplan–Meier Estimator as an M-estimator

description: The Kaplan–Meier (KM) estimator, which provides a nonparametric estimate of a survival function for time-to-event data, has broad applications in clinical studies, engineering, economics and many other fields. The theoretical properties of the KM estimator including its consistency and asymptotic distribution have been well established. From a new perspective, we reconstruct the KM estimator as an M-estimator by maximizing a quadratic M-function based on concordance, which can be computed using the expectation–maximization (EM) algorithm. It is shown that the convergent point of the EM algorithm coincides with the traditional KM estimator, which offers a new interpretation of the KM estimator as an M-estimator. As a result, the limiting distribution of the KM estimator can be established using M-estimation theory. Application on two real datasets demonstrates that the proposed M-estimator is equivalent to the KM estimator, and the confidence intervals and confidence bands can be derived as well.