cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2dfkxb
title: CCDC 2217582: Experimental Crystal Structure Determination

description: Related Article: Rubén Gil-García, Gotzon Madariaga, Alondra Jiménez-Pérez, Ignacio Herrán-Torres, Adrián Gago-González, María Ugalde, Vaidas Januskaitis, Joaquín Barrera-García, Maite Insausti, María S. Galletero, Joaquín Borrás, José Vicente Cuevas, Rosa Pedrido, Patricia Gómez-Saiz, Luis Lezama, Javier García-Tojal|2023|CrystEngComm|25|2213|doi:10.1039/D3CE00119A
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.cc2dfkyc
title: CCDC 2217583: Experimental Crystal Structure Determination

description: Related Article: Rubén Gil-García, Gotzon Madariaga, Alondra Jiménez-Pérez, Ignacio Herrán-Torres, Adrián Gago-González, María Ugalde, Vaidas Januskaitis, Joaquín Barrera-García, Maite Insausti, María S. Galletero, Joaquín Borrás, José Vicente Cuevas, Rosa Pedrido, Patricia Gómez-Saiz, Luis Lezama, Javier García-Tojal|2023|CrystEngComm|25|2213|doi:10.1039/D3CE00119A
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: 10.15156/bio/sh1017796.09fu
title: SH1017796.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5517/ccdc.csd.cc2dfkzd
title: CCDC 2217584: Experimental Crystal Structure Determination

description: Related Article: Rubén Gil-García, Gotzon Madariaga, Alondra Jiménez-Pérez, Ignacio Herrán-Torres, Adrián Gago-González, María Ugalde, Vaidas Januskaitis, Joaquín Barrera-García, Maite Insausti, María S. Galletero, Joaquín Borrás, José Vicente Cuevas, Rosa Pedrido, Patricia Gómez-Saiz, Luis Lezama, Javier García-Tojal|2023|CrystEngComm|25|2213|doi:10.1039/D3CE00119A
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: 10.5281/zenodo.7816750
title: Cortisol assay readings

description: Cortisol assay readings
DOI: 10.15156/bio/sh1017797.09fu
title: SH1017797.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5517/ccdc.csd.cc2dkvsm
title: CCDC 2221701: Experimental Crystal Structure Determination

description: Related Article: Xiao-Yang Yu, Yanxin Lv, Xiaoyu Weng, Jiaqi Geng, Yanyan Yang, Hua Jin, Hao Cui, Bo Fu, Xiaoshu Qu, Hongfei Shi, Xueling Cao|2023|CrystEngComm|25|2185|doi:10.1039/D2CE01634F
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.cc2dkvqk
title: CCDC 2221699: Experimental Crystal Structure Determination

description: Related Article: Xiao-Yang Yu, Yanxin Lv, Xiaoyu Weng, Jiaqi Geng, Yanyan Yang, Hua Jin, Hao Cui, Bo Fu, Xiaoshu Qu, Hongfei Shi, Xueling Cao|2023|CrystEngComm|25|2185|doi:10.1039/D2CE01634F
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: 10.15156/bio/sh1017798.09fu
title: SH1017798.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5281/zenodo.7816749
title: Cortisol assay readings

description: Cortisol assay readings
DOI: 10.5517/ccdc.csd.cc2dkvpj
title: CCDC 2221698: Experimental Crystal Structure Determination

description: Related Article: Xiao-Yang Yu, Yanxin Lv, Xiaoyu Weng, Jiaqi Geng, Yanyan Yang, Hua Jin, Hao Cui, Bo Fu, Xiaoshu Qu, Hongfei Shi, Xueling Cao|2023|CrystEngComm|25|2185|doi:10.1039/D2CE01634F
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: 10.17632/rhm2b8hz75.1
title: Systematic metabolomic studies identified adult adiposity biomarkers with acetylglycine associated with fat loss in vivo

description: Obesity is associated with various adverse health outcomes. Body fat (BF) distribution is recognized as an important factor of negative health consequences of obesity. Although metabolomics studies, mainly focused on body mass index (BMI) and waist circumference, have explored the biological mechanisms involved in the development of obesity, these proxy composite measures are not accurate and cannot reflect BF distribution, and thus may hinder accurate assessment of metabolic alterations and differential risk of metabolic disorders among individuals presenting adiposity differently throughout the body. Thus, the exact relations between metabolites and BF remain to be elucidated. Here, we aim to examine the associations of metabolites and metabolic pathways with BF traits which reflect BF distribution. We performed systematic untargeted serum metabolite profiling and dual-energy X-ray absorptiometry (DXA) whole body fat scan for 517 Chinese women. We jointly analyzed DXA-derived four BF phenotypes to detect cross-phenotype metabolite associations and to prioritize important metabolomic factors. Topology-based pathway analysis was used to identify important BF-related biological processes. Finally, we explored the relationships of the identified BF-related candidate metabolites with BF traits in different sex and ethnicity through two independent cohorts. Acetylglycine, the top distinguished finding, was validated for its obesity resistance effect through in vivo studies of various diet-induced obese (DIO) mice. Eighteen metabolites and fourteen pathways were discovered to be associated with BF phenotypes. Six of the metabolites were validated in varying sex and ethnicity. The obesity-resistant effects of acetylglycine were observed to be highly robust and generalizable in both human and DIO mice. These findings demonstrate the importance of metabolites associated with BF distribution patterns and several biological pathways that may contribute to obesity and obesity-related disease etiology, prevention, and intervention. Acetylglycine is highlighted as a potential therapeutic candidate for preventing excessive adiposity in future studies.
DOI: 10.6084/m9.figshare.22586068
title: Materiels Supplémentaire pour "Evolution des populations et probabilité de détection de l’Arcyptère languedocienne Arcyptera brevipennis vicheti (Brunner von Wattenwyl, 1861) en France (Orthoptera : Acrididae)"

description: Script R et jeux de données de l'analyse de probabilité de détection de l’Arcyptère languedocienne Arcyptera brevipennis vicheti.
DOI: 10.6084/m9.figshare.22586068.v1
title: Materiels Supplémentaire pour "Evolution des populations et probabilité de détection de l’Arcyptère languedocienne Arcyptera brevipennis vicheti (Brunner von Wattenwyl, 1861) en France (Orthoptera : Acrididae)"

description: Cette archive contient le jeu de données et le code pour réaliser l'analyse sur la probabilité de détection d'écrite dans "Evolution des populations et probabilité de détection de l’Arcyptère languedocienne Arcyptera brevipennis vicheti (Brunner von Wattenwyl, 1861) en France (Orthoptera : Acrididae)"
DOI: 10.5517/ccdc.csd.cc2dkv94
title: CCDC 2221686: Experimental Crystal Structure Determination

description: Related Article: Xiao-Yang Yu, Yanxin Lv, Xiaoyu Weng, Jiaqi Geng, Yanyan Yang, Hua Jin, Hao Cui, Bo Fu, Xiaoshu Qu, Hongfei Shi, Xueling Cao|2023|CrystEngComm|25|2185|doi:10.1039/D2CE01634F
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: 10.15156/bio/sh1017799.09fu
title: SH1017799.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5517/ccdc.csd.cc2dkv83
title: CCDC 2221685: Experimental Crystal Structure Determination

description: Related Article: Xiao-Yang Yu, Yanxin Lv, Xiaoyu Weng, Jiaqi Geng, Yanyan Yang, Hua Jin, Hao Cui, Bo Fu, Xiaoshu Qu, Hongfei Shi, Xueling Cao|2023|CrystEngComm|25|2185|doi:10.1039/D2CE01634F
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: 10.15156/bio/sh1017800.09fu
title: SH1017800.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5517/ccdc.csd.cc2dypy0
title: CCDC 2233083: Experimental Crystal Structure Determination

description: Related Article: Devin J. Angevine, Travis Mitchell, Xiaotong Zhang, Jason B. Benedict|2023|CrystEngComm|25|2181|doi:10.1039/D3CE00042G
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: 10.15156/bio/sh1017801.09fu
title: SH1017801.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.17632/pvgrvxh243.2
title: T-Bolt preload and load

description: Bolt stress is very sensitive to load eccentricity. Three uniaxial strain gauges were placed in the "Y" direction on the external surface of the reduced section of the bolt. The strain gauges were placed 120° apart. If there is no eccentricity, all three strains are to be equals.

The application of preload on the bolt was performed by tightening the hexagonal nut with the torque tool. The specification of the average torque in the hexagonal nut was 888.7 Nm. Subsequently, the static test corresponding to the application of the test loads was carried out, which generates an extreme bending moment of 3.1 MNm on the blade root and a load FA on each of the 56 bolted joints.

Under the application of the preload F at 54.9%, it was observed that eccentricity, did not present significant variations when going from the preloading stage to the extreme load stage. This fact led to a second experiment with the application of the preload at 100.8 % with F =217,432 N. For this 100.8% preload condition, the eccentricity increased to 1.367 mm. It was also observed that during tightening there was a crossing of the strain signal 1 and 2; that is, the torque wrench tilted the bolt, and the eccentricity went from e=0.86 mm to e=1.367 mm.  The load eccentricity can be used to stress and fatigue calculation.
DOI: 10.15156/bio/sh1017802.09fu
title: SH1017802.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1017803.09fu
title: SH1017803.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5517/ccdc.csd.cc25lhgr
title: CCDC 2013774: Experimental Crystal Structure Determination

description: Related Article: Harmeet Bhoday, Steven P. Kelley, Rainer Glaser|2023|CrystEngComm|25|2175|doi:10.1039/D3CE00021D
description: Related Article: Harmeet Bhoday, Steven P. Kelley, Amitava Choudhury, Rainer Glaser|2020|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: 10.15156/bio/sh1017804.09fu
title: SH1017804.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5517/ccdc.csd.cc25lhfq
title: CCDC 2013773: Experimental Crystal Structure Determination

description: Related Article: Harmeet Bhoday, Steven P. Kelley, Rainer Glaser|2023|CrystEngComm|25|2175|doi:10.1039/D3CE00021D
description: Related Article: Harmeet Bhoday, Steven P. Kelley, Amitava Choudhury, Rainer Glaser|2020|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.cc28lgx8
title: CCDC 2103130: Experimental Crystal Structure Determination

description: Related Article: Harmeet Bhoday, Steven P. Kelley, Rainer Glaser|2021|CSD Communication|||
description: Related Article: Harmeet Bhoday, Steven P. Kelley, Rainer Glaser|2023|CrystEngComm|25|2175|doi:10.1039/D3CE00021D
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.