cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16831973.v2
title: Rare variant association study of veteran twin whole-genomes links severe depression with a nonsynonymous change in the neuronal gene <i>BHLHE22</i>

description: Major Depressive Disorder (MDD) is a complex neuropsychiatric disease with known genetic associations, but without known links to rare variation in the human genome. Here we aim to identify rare genetic variants associated with MDD using deep whole-genome sequencing data in an independent population. We report the sequencing of 1,688 whole genomes in a large sample of male-male Veteran twins. Depression status was classified based on a structured diagnostic interview according to <i>DSM-III-R</i> diagnostic criteria. Searching only rare variants in genomic regions from recent GWAS on MDD, we used the optimised sequence kernel association test and Fisher's Exact test to fine map loci associated with severe depression. Our analysis identified one gene associated with severe depression, basic helix loop helix e22 (<i>P</i><sub>Adjusted</sub> = 0.03) via SKAT-O test between unrelated severely depressed cases compared to unrelated non-depressed controls. The same gene <i>BHLHE22</i> had a non-silent variant rs13279074 (<i>P</i><sub>Adjusted</sub> = 0.032) based on a single variant Fisher’s Exact test between unrelated severely depressed cases compared to unrelated non-depressed controls. The gene <i>BHLHE22</i> shows compelling genetic evidence of directly impacting the severe depression phenotype. Together these results advance understanding of the genetic contribution to major depressive disorder in a new cohort and link a rare variant to severe forms of the disorder.
DOI: 10.6084/m9.figshare.16831973.v1
title: Rare variant association study of Veteran twin whole-genomes links severe depression with a nonsynonymous change in the neuronal gene <i>BHLHE22</i>

description: Major Depressive Disorder (MDD) is a complex neuropsychiatric disease with known genetic associations, but without known links to rare variation in the human genome. Here we aim to identify rare genetic variants associated with MDD using deep whole-genome sequencing data in an independent population. We report the sequencing of 1,688 whole genomes in a large sample of male-male Veteran twins. Depression status was classified based on a structured diagnostic interview according to <i>DSM-III-R</i> diagnostic criteria. Searching only rare variants in genomic regions from recent GWAS on MDD, we used the optimized sequence kernel association test and Fischer's Exact test to fine map loci associated with severe depression. Our analysis identified one gene associated with severe depression, basic helix loop helix e22 (<i>P</i><sub>Adjusted</sub> = 0.03) via SKAT-O test between unrelated severely depressed cases compared to unrelated non-depressed controls. The same gene <i>BHLHE22</i> had a non-silent variant rs13279074 (<i>P</i><sub>Adjusted</sub> = 0.032) based on a single variant Fischer’s Exact test between unrelated severely depressed cases compared to unrelated non-depressed controls. The gene <i>BHLHE22</i> shows compelling genetic evidence of directly impacting the severe depression phenotype. Together these results advance understanding of the genetic contribution to major depressive disorder in a new cohort and link a rare variant to severe forms of the disorder.
DOI: 10.35078/xkuxhv
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Teófilo Otoni | Município: Carmésia

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.5281/zenodo.7705309
title: Dataset related to: "Gender and Age as Determinants of Success of Pulmonary Rehabilitation in Individuals With Chronic Obstructive Pulmonary Disease"

description: We provide the raw data used for the following scientific letter: Maestri R, Vitacca M, Paneroni M, Zampogna E, Ambrosino N. <strong>Gender and Age as Determinants of Success of Pulmonary Rehabilitation in Individuals With Chronic Obstructive Pulmonary Disease.</strong> Arch Bronconeumol. 2023 Mar;59(3):174-177. English, Spanish. doi: 10.1016/j.arbres.2022.09.008. <em>No abstract available</em>
DOI: 10.5281/zenodo.7705310
title: Dataset related to: "Gender and Age as Determinants of Success of Pulmonary Rehabilitation in Individuals With Chronic Obstructive Pulmonary Disease"

description: We provide the raw data used for the following scientific letter: Maestri R, Vitacca M, Paneroni M, Zampogna E, Ambrosino N. <strong>Gender and Age as Determinants of Success of Pulmonary Rehabilitation in Individuals With Chronic Obstructive Pulmonary Disease.</strong> Arch Bronconeumol. 2023 Mar;59(3):174-177. English, Spanish. doi: 10.1016/j.arbres.2022.09.008. <em>No abstract available</em>
DOI: 10.13135/ela-293
title: Honours for the prytany of Pandionis
DOI: 10.13135/ela-294
title: Honours for the prytany of Kekropis
DOI: 10.13135/ela-296
title: Honours for the treasurer of the prytany of an unknown tribe
DOI: 10.13135/ela-297
title: Honours for the treasurer of the prytany of Pandionis
DOI: 10.5281/zenodo.5544258
title: Environmental data associated to particular health events example dataset

description: The dataset is a result of associating air pollution and climate data subsets to particular health events. The subsets are obtained by aggregating land-based stations observation data relative to each event within county KERRY and the DAY time unit by using the MEAN function. The observation data is related to 2 DAYS prior to each event for a period of 3 DAYS.
DOI: 10.5281/zenodo.5554938
title: Environmental data associated to particular health events example dataset

description: The dataset is a result of associating air pollution and climate data subsets to particular health events. The subsets are obtained by aggregating land-based stations observation data relative to each event within county KERRY and the DAY time unit by using the MEAN function. The observation data is related to 2 DAYS prior to each event for a period of 3 DAYS.
DOI: 10.13135/ela-298
title: Honours for the treasurer of the prytany of Oineis
DOI: 10.5281/zenodo.5556217
title: Environmental data associated to particular health events example dataset

description: The dataset is an example result of associating air pollution and weather data subsets to particular health events. The subsets are obtained by aggregating land-based stations observation data relative to each event within county KERRY at a DAY time unit by using the MEAN function. The observation data is related to 2 DAYS prior to each event for a period of 3 DAYS.
DOI: 10.5281/zenodo.5566391
title: Environmental data associated to particular health events example dataset

description: The dataset is an example result of associating air pollution and weather data subsets to particular health events. The subsets are obtained by aggregating land-based stations observation data relative to each event within county KERRY at a DAY time unit by using the MEAN function. The observation data is related to 2 DAYS prior to each event for a period of 3 DAYS.
DOI: 10.5281/zenodo.5823426
title: Environmental data associated to particular health events example dataset

description: The data set is a collection of environmental records associated with the individual events. The data set has been generated using the serdif-api wrapper (https://github.com/navarral/serdif-api) when sending a CSV file with example events for the Republic of Ireland. The serdif-api send a semantic query that (i) selects the environmental data sets within the region of the event, (ii) filters by the specific period of interest from the event, (iii) aggregates the data sets using the minimum, maximum, average or sum for each of the available variables for a specific time unit. The aggregation method and the time unit can be passed to the serdif-api through the Command Line Interface (CLI) (see example in https://github.com/navarral/serdif-api). The resulting data set format can be also specified as data table (CSV) or as graph (RDF) for analysis and publication as FAIR data. The open-ready data for research is retrieved as a zip file that contains: (i) data as csv: environmental data associated to particular events as a data table (ii) data as rdf: environmental data associated to particular events as a graph (iii) metadata for publication as rdf: metadata record with generalized information about the data that do not contain personal data as a graph; therefore, publishable. (iv) metadata for research as rdf: metadata records with detailed information about the data, such as individual dates, regions, data sets used and data lineage; which could lead to data privacy issues if published without approval from the Data Protection Officer (DPO) and data controller.
DOI: 10.5281/zenodo.6676699
title: Environmental data associated to particular health events example dataset

description: The data represents and example output for environmental data (i.e. climate and pollution) linked with individual events through <strong>location</strong> and <strong>time</strong>. The linkage is the result of a semantic query that integrates environmental data <strong>within an area relevant to the event</strong> and selects a <strong>period of data before the event</strong>. The resulting event-environmental linked data contains: The data for analysis as a data table (.csv) and graph (.ttl) The metadata describing the linkage process and the data (.csv and .ttl) The interactive report to explore the (meta)data (.html) The graph files are ready to be shared and published as Findable, Accessible, Interoperable and Reusable (FAIR) data, including the necessary information to be reused by other researchers in different contexts.
description: Please cite this DOI in your work if using or referring to this dataset.
DOI: 10.5281/zenodo.6817101
title: Environmental data associated to particular health events example dataset

description: The data represents and example output for environmental data (i.e. climate and pollution) linked with individual events through <strong>location</strong> and <strong>time</strong>. The linkage is the result of a semantic query that integrates environmental data <strong>within an area relevant to the event</strong> and selects a <strong>period of data before the event</strong>. The resulting event-environmental linked data contains: The data for analysis as a data table (.csv) and graph (.ttl) The metadata describing the linkage process and the data (.csv and .ttl) The interactive report to explore the (meta)data (.html) The graph files are ready to be shared and published as Findable, Accessible, Interoperable and Reusable (FAIR) data, including the necessary information to be reused by other researchers in different contexts.
description: Please cite this DOI in your work if using or referring to this dataset.
DOI: 10.5281/zenodo.6828075
title: Environmental data associated to particular health events example dataset

description: The data represents and example output for environmental data (i.e. climate and pollution) linked with individual events through <strong>location</strong> and <strong>time</strong>. The linkage is the result of a semantic query that integrates environmental data <strong>within an area relevant to the event</strong> and selects a <strong>period of data before the event</strong>. The resulting event-environmental linked data contains: The data for analysis as a data table (.csv) and graph (.ttl) The metadata describing the linkage process and the data (.csv and .ttl) The interactive report to explore the (meta)data (.html) The graph files are ready to be shared and published as Findable, Accessible, Interoperable and Reusable (FAIR) data, including the necessary information to be reused by other researchers in different contexts.
description: Please cite this DOI in your work if using or referring to this dataset.
DOI: 10.5281/zenodo.7705424
title: Environmental data associated to particular health events example dataset

description: The data represents and example output for environmental data (i.e. climate and pollution) linked with individual events through <strong>location</strong> and <strong>time</strong>. The linkage is the result of a semantic query that integrates environmental data <strong>within an area relevant to the event</strong> and selects a <strong>period of data before the event</strong>. The resulting event-environmental linked data contains: The data for analysis as a data table (.csv) and graph (.ttl) The metadata describing the linkage process and the data (.csv and .ttl) The interactive report to explore the (meta)data (.html) The graph files are ready to be shared and published as Findable, Accessible, Interoperable and Reusable (FAIR) data, including the necessary information to be reused by other researchers in different contexts.
description: Please cite this DOI in your work if using or referring to this dataset.
DOI: 10.5281/zenodo.7705438
title: Environmental data associated to particular health events example dataset

description: The data represents and example output for environmental data (i.e. climate and pollution) linked with individual events through <strong>location</strong> and <strong>time</strong>. The linkage is the result of a semantic query that integrates environmental data <strong>within an area relevant to the event</strong> and selects a <strong>period of data before the event</strong>. The resulting event-environmental linked data contains: The data for analysis as a data table (.csv) and graph (.ttl) The metadata describing the linkage process and the data (.csv and .ttl) The interactive report to explore the (meta)data (.html) The graph files are ready to be shared and published as Findable, Accessible, Interoperable and Reusable (FAIR) data, including the necessary information to be reused by other researchers in different contexts.
description: Please cite this DOI in your work if using or referring to this dataset.
DOI: 10.13135/ela-299
title: Honours for the treasurer of the prytany of Hippothontis
DOI: 10.13135/ela-300
title: Honours for the treasurer of the prytany of Erechtheis
DOI: 10.13135/ela-301
title: Honours for the prytany of Erechtheis
DOI: 10.13135/ela-311
title: Decree honouring the anti-Macedonian leader Kephisodoros
DOI: 10.13135/ela-337
title: Dedicatory inscription of the Stoa of Attalos
DOI: 10.13135/ela-338
title: Decree on the grant of "enktesis" to a Roman
DOI: 10.13135/ela-340
title: Statue base for Theophilos of Halai
DOI: 10.13135/ela-341
title: Statue base for the philosopher Karneades
DOI: 10.34740/kaggle/dsv/5123129
title: Mahanagar Yatayat Dataset
DOI: 10.6084/m9.figshare.21642275
title: Table 5.1

description: <br> <strong>Table 5.1: RNA-seq data used in Chapter 5.</strong> SRA and ENA sample identifiers, sample name, read number, library preparation and age are provided for each public RNA-seq file used in this study. The last column includes comments regarding sample isolation and RNA preparation.
DOI: 10.6084/m9.figshare.21642275.v2
title: Table 5.1

description: <br> <strong>Table 5.1: RNA-seq data used in Chapter 5.</strong> SRA and ENA sample identifiers, sample name, read number, library preparation and age are provided for each public RNA-seq file used in this study. The last column includes comments regarding sample isolation and RNA preparation.
DOI: 10.6084/m9.figshare.21642275.v1
title: Table 5.1

description: <br> <strong>Table 5.1: RNA-seq data used in Chapter 5.</strong> SRA and ENA sample identifiers, sample name, read number, library preparation and age are provided for each public RNA-seq file used in this study. The last column includes comments regarding sample isolation and RNA preparation.
DOI: 10.13135/ela-344
title: Inscribed altar for Antony and Octavia
DOI: 10.13135/ela-345
title: Dedication to Asklepios and Hygieia for the restoration of the Sacred Spring
DOI: 10.5517/ccdc.csd.cc2c2t1b
title: CCDC 2177441: Experimental Crystal Structure Determination

description: Related Article: Leiyang Bai, Jiayi Li, Xuefeng Jiang|2022|Chem (Cell Press)|9|483|doi:10.1016/j.chempr.2022.10.021
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.cc2c2vw6
title: CCDC 2177498: Experimental Crystal Structure Determination

description: Related Article: Leiyang Bai, Jiayi Li, Xuefeng Jiang|2022|Chem (Cell Press)|9|483|doi:10.1016/j.chempr.2022.10.021
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.cc2cjqn9
title: CCDC 2190821: Experimental Crystal Structure Determination

description: Related Article: Leiyang Bai, Jiayi Li, Xuefeng Jiang|2022|Chem (Cell Press)|9|483|doi:10.1016/j.chempr.2022.10.021
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.cc29kgv6
title: CCDC 2131958: Experimental Crystal Structure Determination

description: Related Article: Leiyang Bai, Jiayi Li, Xuefeng Jiang|2022|Chem (Cell Press)|9|483|doi:10.1016/j.chempr.2022.10.021
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.cc2cbhdm
title: CCDC 2184830: Experimental Crystal Structure Determination

description: Related Article: Leiyang Bai, Jiayi Li, Xuefeng Jiang|2022|Chem (Cell Press)|9|483|doi:10.1016/j.chempr.2022.10.021
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: 10.13135/ela-347
title: Decree on monthly lawsuits
DOI: 10.5517/ccdc.csd.cc2cb787
title: CCDC 2184578: Experimental Crystal Structure Determination

description: Related Article: Leiyang Bai, Jiayi Li, Xuefeng Jiang|2022|Chem (Cell Press)|9|483|doi:10.1016/j.chempr.2022.10.021
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.cc2df0nj
title: CCDC 2217047: Experimental Crystal Structure Determination

description: Related Article: Jiamao Zhang, Yue Deng, Shentang Wang, Jun Yang, Shanshan Hu|2023|CrystEngComm|25|1495|doi:10.1039/D2CE01508K
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.cc2dgbt1
title: CCDC 2218323: Experimental Crystal Structure Determination

description: Related Article: mei luo|2022|CSD Communication|||
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.cc2dgbw3
title: CCDC 2218325: Experimental Crystal Structure Determination

description: Related Article: mei luo|2022|CSD Communication|||
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.cc2dgbx4
title: CCDC 2218326: Experimental Crystal Structure Determination

description: Related Article: mei luo|2022|CSD Communication|||
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.cc2dgby5
title: CCDC 2218327: Experimental Crystal Structure Determination

description: Related Article: mei luo|2022|CSD Communication|||
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.cc2dgdgr
title: CCDC 2218374: Experimental Crystal Structure Determination

description: Related Article: Myunggi Jung, Joanna E. Muir, Vincent N.G. Lindsay|2023|Tetrahedron|134|133296|doi:10.1016/j.tet.2023.133296
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.